Electric cars: technical characteristics and environmental impacts
Environmental Sciences Europe volume 24, Article number: 14 (2012)
Electric vehicles have been identified as being a key technology in reducing future emissions and energy consumption in the mobility sector. The focus of this article is to review and assess the energy efficiency and the environmental impact of battery electric cars (BEV), which is the only technical alternative on the market available today to vehicles with internal combustion engine (ICEV). Electricity onboard a car can be provided either by a battery or a fuel cell (FCV). The technical structure of BEV is described, clarifying that it is relatively simple compared to ICEV. Following that, ICEV can be ‘e-converted’ by experienced personnel. Such an e-conversion project generated reality-close data reported here.
Practicability of today's BEV is discussed, revealing that particularly small-size BEVs are useful. This article reports on an e-conversion of a used Smart. Measurements on this car, prior and after conversion, confirmed a fourfold energy efficiency advantage of BEV over ICEV, as supposed in literature. Preliminary energy efficiency data of FCV are reviewed being only slightly lower compared to BEV. However, well-to-wheel efficiency suffers from 47% to 63% energy loss during hydrogen production. With respect to energy efficiency, BEVs are found to represent the only alternative to ICEV. This, however, is only true if the electricity is provided by very efficient power plants or better by renewable energy production. Literature data on energy consumption and greenhouse gas (GHG) emission by ICEV compared to BEV suffer from a 25% underestimation of ICEV-standardized driving cycle numbers in relation to street conditions so far. Literature data available for BEV, on the other hand, were mostly modeled and based on relatively heavy BEV as well as driving conditions, which do not represent the most useful field of BEV operation. Literature data have been compared with measurements based on the converted Smart, revealing a distinct GHG emissions advantage due to the German electricity net conditions, which can be considerably extended by charging electricity from renewable sources. Life cycle carbon footprint of BEV is reviewed based on literature data with emphasis on lithium-ion batteries. Battery life cycle assessment (LCA) data available in literature, so far, vary significantly by a factor of up to 5.6 depending on LCA methodology approach, but also with respect to the battery chemistry. Carbon footprint over 100,000 km calculated for the converted 10-year-old Smart exhibits a possible reduction of over 80% in comparison to the Smart with internal combustion engine.
Findings of the article confirm that the electric car can serve as a suitable instrument towards a much more sustainable future in mobility. This is particularly true for small-size BEV, which is underrepresented in LCA literature data so far. While CO2-LCA of BEV seems to be relatively well known apart from the battery, life cycle impact of BEV in categories other than the global warming potential reveals a complex and still incomplete picture. Since technology of the electric car is of limited complexity with the exception of the battery, used cars can also be converted from combustion to electric. This way, it seems possible to reduce CO2-equivalent emissions by 80% (factor 5 efficiency improvement).
On a worldwide scale, 26% of primary energy is consumed for transport purposes, and 23% of greenhouse gas emissions is energy-related. Street traffic represents a share of 74% in the transport sector worldwide (IPCC data from 2007, as summarized in ). The transport sector includes aircraft, ships, trains, and all types of street vehicles (e.g., trucks, buses, cars and two-wheelers). Automobiles play a particular role for three reasons: First, cars are dominating the street traffic in most countries. Second, car sales exhibit the greatest growth rates in the world. Third, there are alternative technologies for the drivetrain available unlike, e.g., for trucks. While small trucks may also be operated electrically within a limited range, big trucks are dependent on diesel fuel, which can be shifted to a mixture of 80% methane (either fossil or biogenic) in the future. Buses can also be driven electrically on limited distances; buses driven by compressed natural gas (methane) are routinely used. While fuel cell-driven buses are already on the streets, small trucks driven by fuel cells and H2 are still concepts.
In Germany, for example, cars are responsible for 60% of all traffic-related CO2 emissions (German Federal Environment ministry number for 2010, summarized in ). In the future, traffic is expected to grow enormously worldwide, particularly in developing Asian countries. The worldwide vehicle stock of 630 million may grow to one billion in 2030 (data from Shell 2007, reviewed by Angerer et al. ). Vehicle production is expected to grow from 63 to 100 million cars per year until 2030 . In addition to the CO2 emissions, modern internal combustion engine vehicles (ICEVs) still have dangerous toxic emissions. According to the World Health Organization (WHO) , air pollution is a major environmental risk for health and is estimated to cause approximately two million premature deaths worldwide per year. Since ozone, fine dust, NO2, and SO2 have been identified by WHO as being the most dangerous kinds which are mainly, or to a substantial extent, traffic-derived, traffic will be responsible for approximately half of that quantified costs in lives and health. Toxic ICEV emissions cause high health costs even in industrialized countries: Almost 25% of the European Union (EU)-25 population live less than 500 m from a road carrying more than three million vehicles per year. Consequently, almost four million years of life are lost each year due to high pollution levels (press release European Environmental Agency, 26 February 2007).
In order to meet future mobility needs, reduce climate as well as health relevant emissions, and phase out dependence on oil (‘peak oil’), today's propulsion technologies have to be replaced by more efficient and environmentally friendly alternatives. On the transition to a sustainable society, particularly efficient mobility technologies are needed worldwide. Electric vehicles have been identified as being such a technology . In parallel, a couple of countries (like Germany, Denmark, and Sweden) have decided to switch electricity production from fossil fuel to renewable sources, further improving sustainability of electric cars when compared with ICEV.
Concepts of electric cars
At the beginning of the automobile's history, two main competing approaches to engine-driven vehicles existed: one with internal combustion engine (ICE) and another one with an electric drivetrain. Already in 1834, the American inventor Thomas Davenport built the first electric car. The first ICEV was developed in 1886 by Benz and Daimler in Germany. Around the year 1900, electric cars had a significant share of all engine-driven cars. At the same time, F. Porsche already invented a hybrid electric car equipped with an ICE range extender and wheel hub electric engines. The two different drive trains were competing until Henry Ford, in 1908, chose an ICEV for the first mass production of a car in history (summarized in ). This way, ICEV won the race early in the twentieth century and displaced the battery electric vehicles (BEV). From an environmental perspective, this may have been one of the biggest mistakes in the history of technology.
Concluding, the BEV does not represent recent ‘high tech’, but a comparatively simple technical concept, meanwhile available as a series product for more than 110 years. Accordingly, e-conversion, which is the conversion of new or used ICEV to electric cars, can easily be implemented by experienced personnel. In contrast, the modern lithium-ion battery technology, prerequisite for the everyday life practicability of most BEV, is related to very recent technical improvements.
Electric car segments
Within the 1990s, electric cars were again offered as series products in California due to its Zero Emission Act (summarized in ). After the Zero Emission Act had been suspended, Partial Zero Emission cars were preferred by the Californian government, which prompted the carmaker Toyota to develop the hybrid vehicle, combining electric and combustion engine. Energy efficiency improved drastically this way (see below); also, the idea of the electric car spread worldwide parallel to the success of the Toyota Prius. Since a full hybrid vehicle is able to drive electrically, it simply needs a plug and a bigger battery in order to be charged like a BEV. This way, the category of plug-in hybrid vehicles (PHEV) was created. Within the last 10 years, different drivetrain concepts based on electric motors have been developed and are soon going to enter mass production. All-electric drive and hybrid electric drive have to be differentiated. In contrast to the hybrid electric drive, in the all-electric car, an electric motor is the only energy converter. According to a UN definition from 2003, a hybrid electric drivetrain consists of at least two different energy converters (e.g., ICE and electric motor) contributing to the drive system and uses two different energy storages (e.g., fuel and battery) (see, e.g., UNEP ).
Additionally, electricity onboard an electric car can be generated by a fuel cell. This technology has been investigated for decades, and production of small series of fuel cell vehicles (FCV) already started or is promised by carmakers to be released within the very next years. An FCV is an electric vehicle with a different energy storage compared to battery electric vehicles. It is equipped with a buffer battery, which is, however, much smaller compared to a BEV .
With respect to strategic and market perspectives as well as life cycle impacts of electric cars, their practicability in different segments of car sizes needs to be investigated (Table 1). Car size is most important in BEV since battery size must grow in parallel to the vehicle's weight.
In the next years, electric cars will be mostly small- or mid-size cars due to two main reasons: First, the weight limits the range of operation, which is a factor of suitability for daily use. Second, battery costs establish another main regulating factor: larger cars need bigger and much more expensive batteries.
On the contrary, PHEV and FCV are increasingly useful in the segment of medium-size and large cars because only a small fraction of energy is needed to be carried in the battery. The energy density of compressed hydrogen is close to fossil fuels, very much in contrast to the energy density of available batteries.
Technical components of an electric car
According to Larminie and Lowry , the main components of a BEV can be divided into the electric battery, the electric motor, and a motor controller (Figure 1). The technical structure of a BEV is simpler compared to ICEV since no starting, exhaust or lubrication system, mostly no gearbox, and sometimes, not even a cooling system are needed.
The battery charges with electricity either when plugged in the electricity grid via a charging device or during braking through recuperation. The charger is a crucial component since its efficiency can vary today between 60% and 97%, wasting 3% to 40% of the grid energy as heat. The motor controller supplies the electric motor with variable power depending on the load situation. The electric motor converts the electric energy into mechanical energy and, when used within a drivetrain, to torque. In series BEV produced so far, central engines have been used; however, hub wheel electric engines are also possible and would be available for mass production (summarized in ).
Modern, highly efficient electric motors are based on permanent magnetic materials from which the strongest are alloys containing the rare earth elements (REE) neodymium and samarium, respectively. Usual alloys are both NdFeB and SmCo magnets .
This has caused some concern since REEs are scarce, and their export is controlled by a few countries, mainly by China (Helmers, unpublished work). However, electric motors for BEV do not necessarily contain REE. There are several types of electric motors, usually divided into alternating current (AC) and direct current (DC) types. There are both AC and DC electric engines built with and without permanent magnets, according to individual use.
In electric cars, traction motors without magnets are quite usual since they are cheaper (Loehr C, personal communication). A subspecies of AC motors are induction motors using no REE. The Tesla Roadster is equipped with an induction motor without REE, as will be the forthcoming Tesla Model S and the Toyota RAV4EV. In a more detailed view, it can be stated that there are several electric engines available operating without REE magnets: conventional mechanically commutated DC machines, the asynchronous machines, the load-controlled synchronous machines with electrical excitation, and the switched reluctance motors (Gerke W, personal communication). This gives the motor industry some flexibility.
Batteries for electric cars
It is still possible and useful to equip electric vehicles with lead-acid batteries. Cars of the Californian interim electric vehicle boom in the 1990s were partly driven by lead batteries (Table 2), nevertheless already offering a driving performance comparable to ICE cars. Today, for example, there are small electric trucks commercially available and equipped with lead batteries and a capacity of 13 to 26 kWh, allowing a maximum range of up to 200 km and a maximum speed of 60 km/h (numbers taken from a prospectus of Alkè Company, Italy, 2010). Also, a certain share of today's electric cars (e.g., by the Indian company REVA) are equipped with Pb batteries. In order to diversify the future battery technology and materials, it would be useful to keep Pb traction batteries for certain applications. Electric cars for smaller ranges, as e.g., in-town driving, so-called neighborhood electric vehicles, will be much cheaper if they are operated with lead-acid batteries instead of a lithium-ion battery. Additionally, there are recent performance improvements of the lead battery, thanks to a gel matrix and gassing charge .
However, the enormous increase in energy density offered by Li-ion batteries is the prerequisite for the expected widespread electrification of cars. Nickel metal hydride batteries were used in the interim time when the re-electrification of the automobile started in the 1990s. However, they do not offer enough power and have a worse environmental impact compared to Li-ion batteries (see below). The only alternative to Li-ion batteries with comparable power, the Zebra cell (Table 2), is based on molten salt and, thus, only useful for continuous every day use. Today, a lot of different Li chemistries are available, and prices are continuously decreasing for Li-ion batteries (e.g., summarized in ). However, the price for a complete Li-ion cell set offering 14 kWh capacity, allowing a 100-km electrical range of a small-size car (like a Smart, see below), is still in the order of 5,000 Euro including taxes. Life cycle impacts of the various Li-ion chemistries differ significantly (see below).
Environmental impact of electric cars
Well-to-wheel efficiency of electric cars
Considering the enormous worldwide increase of mobility expected for the future, the reduction of automobile energy demand is one of the most important challenges. In order to evaluate the technologies available, energy consumption is divided into the well-to-tank (WTT) and the tank-to-wheel (TTW) demands. WTT refers to the stage from the extraction of feedstock until the delivery of fuel to the vehicle tank . TTW quantifies the performance of the drivetrain. Together, both result in the overall well-to-wheel (WTW) efficiency. The WTW evaluation allows estimation of the overall energy and efficiency of automobiles powered by different propulsion technologies (Table 3).
Considering the fact that cars (light duty vehicles) are so important for worldwide public and private transport, it is astonishing that there are only two technical alternatives to the established ICEV available in the market: battery electric cars and hydrogen-powered fuel cell cars (Table 3). Cars equipped with hydrogen-powered fuel cells, however, are not yet available as series products, but manufacturers like Mercedes-Benz and Toyota promised to be close to releasing or have already released a small series of FCV. The main advantage of a FCV compared to a BEV is a much bigger range and quick refilling of the tank. However, the necessary H2 filling station infrastructure is available nowhere in the world, not regarding some single filling stations in a few city centers allowing regional mobility of hydrogen-powered fuel cell vehicles, which must return daily to the same filling station.
Efficiencies of different propulsion technologies may be expressed either by CO2 equivalent emissions per course unit (e.g., CO2/km), by energy units (MJ/km), or by percentages looking at the energy transformed to motion. Since petrol (in US: gas), diesel, LPG (propane + butane) as well as natural gas (methane) are all hydrocarbons and burn to mainly CO2 while releasing energy, the consumed energy and the CO2 emissions are proportional. If WTW data are expressed in energy units or CO2 emissions, they may allow assessing different technology alternatives at least within the ICE sector. Often, these data include both the fuel chain and the operation of cars (e.g., ). However, comparing WTW data of ICEV with alternative technologies is usually complicated by the lack of data and testing schemes for alternative technologies. Good (realistic) data of one technology compared with bad (unrealistic) data regarding the alternative technology can fundamentally change the results of the efficiency evaluation or, following that, the life cycle assessment (LCA) comparison. We decided to review efficiency percentages (Table 3) of the available propulsion technologies for greater transparency. This way, the wrong impression of higher accuracy than available from the data, as well as erroneous conclusions, is avoided while comparing data of ICEV with alternative technologies.
The available database is enormous but should be regarded inhomogeneous and, for some parts, as questionable. Some studies are based on modeled data (virtual cars), some on laboratory measurements with isolated engines, and some based on unified test schemes about actually driving the car. Some measurements were performed on laboratory test stands, others on real streets. They are also based on cars with various curb weights. Accordingly, there are strongly deviating results: Sullivan et al. , for example, resumed that, by 2015, diesel-driven cars will (still) have 14% to 27% less CO2 emission due to a higher TTW efficiency, compared to petrol-fuelled cars and based on German certification data. But in reality, consumers preferred bigger motorization than modeled. A comparison by a German non-governmental organization revealed that certified CO2 emissions of new diesel cars on German streets increased since 2000 and coincided with falling CO2 emissions of new petrol-fuelled cars at 173 g CO2/km in 2006 (reviewed by Helmers ).
Standardized driving cycles: Contrast to reality
A major problem in well-to-wheel efficiency studies is that most data are based on artificial test procedures, which are also different from one region of the world to another. The German Ministry of Transport, Building and Urban Development recently demonstrated  that the majority of cars consume around 25% more fuel and thus emit more CO2 than certified. Most of more than 100 cars investigated are within 40% of excess, while a few percent of the vehicles in this spot check revealed fuel consumption up to 70% higher than certified due to the European test scheme . A worldwide unified test scheme is therefore currently under international negotiation . If this unified driving cycle includes alternative propulsion technologies, it could serve as a basis to generate more reliable TTW data in the future.
Internal combustion engine vehicles
ICEVs are powered by petrol (gasoline), diesel, propane and butane, or methane (Table 3). These fossil hydrocarbons may be substituted or exchanged with biofuels like bioethanol, biodiesel, or biomethane, which is not the subject of this paper. An integrated greenhouse gas (GHG) assessment of the process chains of natural gas and industrialized biomethane is provided by Arnold et al. , revealing that GHG emission data will change in the future due to the development of new sources and markets like, e.g., the growing market for liquefied natural gas. WTT data for petrol (gasoline), diesel, propane and butane, and methane provisions reveal that up to 24% of the contained energy is already being consumed within the chain. In the exceptional case of methane, pumped trough up to 7,000 km from Siberia to Europe, there is a WTT loss of up to 35% (Table 3).
In general, tank-to-wheel efficiencies of ICEV are very low with 10% to 25% because 75% to 90% of the energy is lost as heat instead of propelling the car. However, ICEV has been successful on the market for more than a century due to the very high energy density (up to 20 times higher compared to Li-ion batteries) of carbon-based fuels available worldwide since over 100 years for low prices. The electric hybrid ICE concept brought an efficiency jump; TTW's of hybrid ICE roughly doubled compared to that of ICEV without electric assistance (Table 3). Toyota, in 1997, introduced this technology to the market in a large-scale production, followed by Honda in 1999 (reviewed in ).
ICEV powered by gaseous hydrocarbons, namely methane, and propane and butane, are similarly inefficient like petrol-powered cars. However, if the higher caloric value is used for achieving higher compression, gas-driven propulsions can be as efficient as the diesel engine (+6% to 9% TTW, see Table 3). Unfortunately, car manufacturers do not utilize the potentials of gaseous propulsions so far. Altogether, WTW calculations reveal that, during the operation of ICEV, between 68% and 90% of the entire energy is wasted (Table 3).
FCV as alternative propulsions
Within the two technical alternatives available, H2-powered fuel cell vehicles reveal a problem, which is losing 50% to 60% energy each during fuel production (here both from hydrogen production by steam reforming as well as by water electrolysis) and during fuel cell operation and driving. Altogether, WTW efficiency of FCV seems to be nearly as low as the efficiency of ICEV, with 19% to 30% (=70% to 81% energy loss). However, in terms of CO2 emissions, several authors see WTW advantages of FCV over ICEV (e.g., ); see below.
BEV analysis in terms of WTT, TTW, and WTW efficiency generates a complex picture
First, electricity production can take place under very different conditions: When electricity is generated from fossil sources in an inefficient power plant and loaded with an inefficient charger to the BEV, up to 85% of the energy may be lost, resulting in a WTW efficiency of only 11% comparable to petrol-operated ICEV (Table 3). Actually, in a pre-series BEV, car chargers with only 60% efficiency have been implemented. Today's most efficient battery chargers, however, have efficiencies of up to 97%. Today, chargers are mostly implemented in the car, while in the California BEV of the 1990s, they were partly not integrated in the cars, complicating the comparability of older WTW numbers.
Today, WTWs reported for BEV are between 59% and 80%. This high efficiency is due to the fact that only very little energy is wasted in the drivetrain (Table 3). Altogether, BEV represent the only alternative technology offering an efficiency jump in individual mobility, consuming up to four times less energy than today's cars. This has been confirmed during measurements on a car converted from combustion engine to electric (see below).
However, BEV should be primarily and increasingly loaded with electricity from renewable sources and must be equipped with an efficient charging unit (Table 3). Although being much more efficient so far, BEV cannot cover all mobility needs due to range restrictions, so the other technologies (ICE and FCV) are still needed under sustainability-optimized conditions.
From efficiency to energy units
Consumption of the competing technologies in terms of energy units should also be known. Ideally, data should be taken from the same car as an ICE as well as an electrical version, which is unfortunately not available on the market. Therefore, in 2011, a Smart car has been converted from petrol to electric in the laboratory of the authors, revealing realistic data (technical specifications see below). This car consumed 5.3 L petrol/100 km, as quantified during a test cycle under standard road conditions with an original 40-kW engine prior to the replacement of the propulsion, which can be converted to 1.67 MJ/km. The test cycle was based on a 46.8-km route consisting of villages (20%, 50 km/h), autobahn (24%, 100 km/h), and country roads (80 km/h). The same test cycle was driven before and after electric conversion, both at air temperatures of 15°C to 20°C, without heating (no A/C available); the car has been weighed each time. After installing a 25-kW electric engine, the electrified Smart had better acceleration and consumed 14.5 kWh/100 km on the above test cycle, including charge losses, which are equivalent to 0.5 MJ/km. This number is reflected in literature: Majeau-Bettez et al.  based his LCA calculations on a BEV electricity consumption of 0.5 MJ/km. Since the weight of the Smart increased by 22.2% due to the added Li battery (additional information given below), the weight-normalized energy consumption of the electrified Smart is 0.4 MJ/km. This realistic experiment fairly reveals the fourfold energy efficiency advantage of electric cars proposed in literature and reviewed in Table 3: ICEV operated with petrol has only 16.5% (13% to 20%) TTW energy efficiency, while electric cars today are believed to achieve 65% (53% to 77%) WTW, which is a four-times higher energy efficiency (Table 3).
It is of course more difficult to get street data for FCV. The first realistic hydrogen consumption data of pre-series cars are reported by car magazines, revealing, e.g., 1.11 kg of 700 bar H2/100 km for a Mercedes F-cell B-class car (pre-series model) with a curb weight of 1,809 kg . The H2-consumption of a Honda FCX Clarity is only slightly higher, considering its lower tank pressure .
Due to the German Hydrogen and Fuel-Cell Association , hydrogen of 700 bars pressure contains 1.3 kWh/L of energy (specific gravity 40.2 kg/m3). This way, energy consumption of the B-class fuel cell car can be converted to 35.9 kWh/100 km or 1.3 MJ/km, respectively. Converted to the curb weight of the electrified Smart (880 kg), only 0.65 MJ/km would be spent by a FCV of the same weight, which is about one third more than the electric car consumes (0.5 MJ/km). This also matches the energy consumption of a FCV vehicle modeled by Simons and Bauer , revealing 0.68 MJ/km (converted to a vehicle's weight of 880 kg). Linssen et al.  simulated between 0.95 and 1.57 MJ/km for small and large FCV vehicles (860 to 1,270 kg weight), respectively, which are based on compressed hydrogen technology.
A B-class car of today with ICE engine extrapolated to the same weight (1.8 t) would consume 11.6 L/100 km (certified fuel consumption taken from manufacturers specification + 25% reality supplement, and extrapolated to 1.8 t) equivalent to 3.7 MJ/km, 2.8 times the fuel cell version. The TTW-proportion FCV/ICE (petrol) is 2.7, according to the literature (Table 3). In conclusion, energy efficiency of a fuel cell car seems to be not far away from the BEV. However, the WTT efficiency of pressurized hydrogen is bad since up to 63% energy is lost within the delivery chain (Table 3) This led to criticism about driving with hydrogen as fuel (e.g., ). However, under unfavorable conditions, efficiency of electricity provision to a BEV can be even worse (Table 3).
Greenhouse gas emissions of electric cars in operation
Battery electric vehicles (BEV)
The greenhouse gas emissions of the BEV can easily be calculated based on its electricity consumption and following the GHG emission associated with the local electricity production [1, 5]. In the literature, there are plenty of data quantifying greenhouse gas emissions of electric cars in operation (e.g., ).
The crucial number in this context is the electricity consumption of electric cars under street conditions. In a review evaluating 21 studies from 1999 to 2009 (18 studies therein from 2007 to 2009), BEV and PHEV consumed a mean of 17.5 kWh/100 km . In contrast, in a few studies focused on LCA quantification, a much higher electricity consumption has been supposed: For example, Helms et al.  based their modeling on an electricity consumption of 20.4 kWh/100 km in urban areas, 20.8 kWh/100 km in extra-urban areas, and 24.9 kWh/100 km on the highway, respectively. Pehnt et al.  summarized 21 to 24 kWh/100 km. Held and Baumann  based LCA quantifications on electricity consumptions of 18.7 kWh/100 km for a mini-class BEV (736 kg curb weight, size of Smart, see below) and 22.9 kWh/100 km for a compact-class BEV (specified curb weight 1,115 kg). In some cases, the assumed electricity consumption of a standard BEV seems to be quite high since only mid-size cars equipped with heavy batteries are taken for calculation (e.g., by Helms et al.  based on a BEV with 1,600 kg curb weight).
On the contrary, we assume that, in the next few years, electric cars will be mostly small or mid-size cars (see above). An e-conversion project, performed in the laboratory of the authors in 2011, may illustrate weight data exemplarily: A Smart built in the year 2000 has been e-converted from combustion engine to an electric car. A 25-kW electric engine and a 14-kWh LiFePO4 battery were installed, allowing a range of up to 120 km. The curb weight grew by 161 kg to 880 kg, which is little more than half of the car weight assumed by Helms et al. . A Mitsubishi I-MiEV weighs 1,110 kg and is equipped with a 16-kWh Li-ion battery . The Nissan Leaf, however, the first high-volume mid-size electric car, weighs 1,525 kg and operates a 24-kWh lithium battery .
Furthermore, BEV electricity consumption data underlying LCA modeling and indicating, e.g., a yearly CO2 emission of a car fleet are necessarily more or less theoretical today (e.g., ). Here again, consumption data derived from certified driving cycles are simulating much lower fossil fuel consumptions for ICEV than realistic and, on the contrary, probably higher than realistic for BEV, as established in the following. We suggest that street condition fuel consumption should be compared for both BEV and ICEV, including charging losses for BEV of course. Only a few real-life electricity consumption data are available so far, which usually cannot be found in scientific literature. The Smart Fortwo converted to an electric car in the laboratory of the authors consumes 14.5 kWh/100 km on the above described test cycle. A Mitsubishi i-MiEV, the first high-volume electric car on the market, consumes 16.94 kWh/100 km on the street . As expected from an electric car, consumption is lowest inside the city, where ICEV conversely exhibit highest fuel consumptions. The Mitsubishi I-MiEV demonstrated the following electricity consumption data during ADAC-testing: 11.3 kWh/100 km (urban), 15.0 kWh/100 km (extra-urban), and 24.6 kWh/100 km on the autobahn at higher speed, respectively . This highlights again the need for a critical data evaluation: BEV will replace ICEV mainly in the local urban area or within local regional traffic, generating possibly higher CO2 advantages than seen in the data derived from standard cycle consumption of BEV and ICEV. Interestingly, Mitsubishi publishes 13.5 kWh/100 km due to the ECE R101 cycle , which confirms the independent test results (cited above) for urban and extra-urban consumption.
On the other hand, electricity consumption specified by manufacturers of BEV can be too low to be realistic. For example, Tesla motors claims its 1,230-kg roadster consumes only 11 kWh/100 km . Nissan Leaf is the second high-volume BEV available on the market and the first series BEV specially developed for electrical driving. USEPA certifies electricity consumption of the BEV Nissan Leaf (curb weight 1,525 kg ) as 19.9 kWh/100 km in the city and 23.0 kWh/100 km on the highway, respectively . Unlike the European driving cycles, EPA certifications are claimed to be more realistic since they contain ‘faster speeds and acceleration, air conditioner use, and colder outside temperatures than usual until 2008’ . Nissan itself specifies electricity consumption of its Leaf as 17.3 kWh/100 km . A Mercedes A-class pre-series electric car has been tested, resulting in 19 kWh/100 km . In conclusion, an electricity consumption of up to 20 kWh/100 km should be realistic for a European mid-size car moved in urban areas or extra-urban at limited speeds, which is the favorite use of electric cars. The 20 kWh/100 km electricity consumption has also been confirmed by a scientific review process (personal communication, [HJ Althaus, 2011]).
Accordingly, we can assume a realistic electricity consumption of 15 to 20 kWh/100 km for urban and extra-urban traffic. European small-size cars (like Smart or I-MiEV) will be located in the lower end, while European mid-size cars (like Nissan Leaf) will be found in the higher end of this range. Large-size BEV and BEV driven at higher speeds (autobahn) can be expected to consume more than 20 kWh/100 km. However, in the forthcoming years, large-size BEV will probably not be the dominant application within the sector of electric cars.
The lower the carbon impact accompanying the electricity production in a country, the lower is the greenhouse gas emissions of the BEV in operation. However, countries such as Australia, China, India, Poland, and South Africa produce between 68% and 94% of their electricity by combustion of coal . Coal represents 78% of China's electricity generation , resulting in 743 g CO2/kWh (IEA, number for 2009). According to Yan and Crookes , Chinese coal-based electricity production generates CO2 emissions in the range of 194 to 215 g/km operating a BEV, which is much higher compared to the 84 to 113 g/km of BEV operated in Germany under grid conditions (563 g CO2/kWh [52, number for 2010]) and for BEV consuming 15 to 20 kWh/100 km.
However, operating a BEV in China anyhow can lead to significant GHG savings if compared to ICEV operated with Chinese coal-to-liquid (CtL) production fuel. For CtL of this kind, the carbon emissions are 717 to 787 g CO2/km .
Plug-in hybrid electric vehicles
PHEV has an electricity consumption quite similar to BEV as long as they drive electric. Weight and cost savings due to a smaller battery are compensated by an additional combustion engine (also called range extender). Hacker et al.  reviewed eight studies on PHEV revealing a mean electricity consumption of 17.4 kWh/100 km. However, depending on the size of the battery and concept of the individual car, the electric range of PHEV is smaller than the range of BEV: The first high-volume PHEV, the GM Volt/Opel Ampera, has a 40- to 80-km range according to its carmaker , while the Toyota Prius plug-in (2012) will have an electrical range of around 20 km only. Electricity consumption in electrical mode and fuel consumption during operation of the combustion engine are known only from publications of the motor press and represent preliminary results allowing a rough estimation of their GHG emissions in operation: Auto Motor Sport  reported 23.5 kWh/100 km in the electrical mode as well as 6.7 L petrol/100 km in the ICE modus for the Opel Ampera. AutoBild  reported 22.6 kWh/100 km in the electrical modus versus 7.7 L petrol/100 km. A GHG impact compilation for a 100-km driving cycle of the Opel Ampera (60 km electrical range plus 40 km of driving with combustion engine, no charging underway) results in 159 g CO2/km based on the following assumptions: 563 g CO2/kWh for German electricity (number for 2010 ), 2,310 g CO2 due to the combustion of 1 L petrol , and supply chain emissions of 506 g CO2/L petrol (calculated from Öko-Institut ). Carmaker Opel, however, specifies a value of 27 g CO2/km .
A Toyota Prius plug-in consumes 3.4 L petrol/100 km in ICE mode according to an ADAC test  and 21.8 kWh/100 km in the electrical mode , respectively. The journal AutoBild  measured 3.8 L petrol/100 km in ICE mode. Regarding an electrical range of 20 km, this results in an emission of 106 g CO2/km (calculated for 100 km). Carmaker Toyota specifies 59 g CO2/km due to ADAC .
Over a 100,000-km lifetime (this number chosen in order to ensure comparability with LCA calculations shown below), an Opel Ampera would sum up 15.9 t CO2, while a Toyota Prius plug-in comes to 10.6 t of CO2, respectively, both charged under German mean electricity grid conditions. However, these lifetime balances for PHEV operation are based on the assumption that the battery is completely discharged every time and every trip continues with petrol. In reality, operational lifetime carbon footprints vary strongly with respect to individual use of the cars.
These preliminary findings on the first two reality PHEV exhibit that efficiency and ecoimpact of PHEV will vary very much depending on the technical conception, which is expected to diversify. Moreover, it depends on the average distances traveled in daily use where the two propulsion modes are mixed together.
Fuel cell cars
Linssen et al.  have quantified the CO2-equivalents of different supply paths of hydrogen based on natural gas as the hydrogen resource and including pressurization and transport. CO2 emission of German H2 production would result in 96 g/MJ, while a Norwegian production would result in 83 g/MJ, respectively . FCV energy consumption between 0.65 for small FCV (car weights see above) and 1.57 MJ/km for large FCV, respectively , results in 54 to 151 g CO2/km. Eberhard and Tarpenning  published a consumption of 152 g CO2/km for the Honda FCX operated in the USA. This order of magnitude was also confirmed by Höhlein and Grube , who also concluded that, for H2 generated by electrolysis and powered by wind electricity, CO2 supply path costs can be lower than 25 g/km. Simons and Bauer  calculated CO2-equivalent costs of around 150 g CO2/km (steam methane reforming from natural gas), 105 g CO2/km (biomass in a steam methane reforming process of gasified wood), 320 g CO2/km (H2 electrolysis powered with the European grid electricity), or 80 g CO2/km (H2 electrolysis powered with the Swiss grid electricity), respectively. The modeling of Simons and Bauer  is based on a car weight of 1,434 kg. Wu et al.  accounted between 30 and 230 g CO2/km (H2 produced with wind energy vs. that from North American natural gas) for the operation of fuel cell hybrid vehicles. For a Chinese FCV, 146 g CO2/km is supposed . While the operational ecoefficiency of BEV is very much dependent on the electricity source, the CO2 impact of FCV is strongly dependent on energy and hydrogen resources used for H2 production.
Assuming a supply chain resulting in 100 g CO2/km emissions over 100,000 km, some 10 t of CO2 is produced. This would be very similar to a Toyota Prius plug-in PHEV and only 22% more than the operational life cycle emissions of the electric Smart (see below), which is smaller and lighter than a FCV car.
Life cycle assessment of electric cars
In order to quantify the LCA of electromobility, the impacts of electric vehicle production, maintenance and disposal on the one hand, and the impacts of operation including fuel provision on the other hand are quantified . Impact of road construction, maintenance, and disposal are neglected here since there are no differences between ICEV and BEV. LCA is usually calculated separately for the glider (or platform = vehicles without engine, transmission, fuel system, or internal combustion components of any kind), the drivetrain (electric engine and associated compounds, transmission, and charging infrastructure), the battery production, and the maintenance and end-of-life treatment, respectively . Other studies also distinguish subparts like inverters/electronics, the generator, and other components .
The overall environmental impact according to the international standard ISO EN 14040 and 14044  includes quantification of, e.g., the abiotic depletion potential, the non-renewable cumulative energy demand , the acidification potential  and, of course, the global warming potential as CO2-equivalents. However, the global warming potentials of BEV production and use are discussed controversially in science and public, while the other criterions are found in the scientific debate only. We like to point out some of the critical details within the discussion and add preliminary data from a used car converted from ICE to electric.
Environmental burden of the Li-ion battery production
There are only a few complete LCA studies available presenting detailed inventories . Only two of them [33, 61] are published together with comprehensive input data and model description fully available on the internet upon title research. Some further studies are published only with limited input data and are also reviewed in the following (Table 4).
Notter et al.  conclude that Li-ion battery plays only a minor role (between 5% and 15%) regarding the overall environmental burden of E-mobility, independent from the impact assessment method used. In contrast, Held and Baumann  calculated a global warming potential (GWP) of the battery production in the order of 5 to 10 t CO2-eq, dominating the GWP LCA of mini- and compact-class BEV propelled with renewable electricity and, furthermore, accompanied by high and dominating acidification potential of 40 to 80 kg SO2-eq for the whole battery. However, Held and Baumann  supposed that mini- and compact-class BEV should have batteries of 20- to 40-kWh capacities. In contrast, the authors' converted Smart has an electrical range of more than 100 km with a 14-kWh Li-ion battery, sufficient for regional mobility. Compact-class BEV Nissan Leaf is said to have a cruising radius of 175 km with a 24-kWh battery . In conclusion, battery sizes required for BEV operation seem to be partly overestimated in the literature so far (see also Table 5).
Not surprisingly, environmental costs of battery production and usage are subject to intensive scientific discussion, revealing corresponding CO2-equivalent emissions of a great variety (Table 4). However, these variations are only to a little extent due to the battery chemistry and, least of all, due to the metal lithium since a Li-ion battery contains only about 1% lithium or 80 g Li per kWh energy content . Also, the Li purifying process is not energy-intensive , nor is Li related to a comparably high depletion of resources, according to Althaus et al. . The LiFePO4 battery used in the Smart conversion project performed by the authors contains 3.4% Li. Besides the Li, the LiFePO4 battery (manufacturer: Calb, China) has a content of 42% Fe, 16% P, 5% graphite, 3% C, 6% Al, and 10% Cu, respectively (MSDS accreditation certificate, 2009). The components of the highest relevance within the whole battery LCA are the anode and cathode materials graphite, copper, and aluminum [61, 68]. Majeau-Bettez et al. , however, identified battery and components manufacturing, as well as the positive electrode paste, as being the most GWP-intensive components.
Notter et al.  primarily evaluated the environmental burden of a LiMn2O4 battery and also found that two other of the often used active materials exhibit only a small increase of 12.8% (Li-Mn-Ni-Co-O2) and a decrease of 1.9% (LiFeO4), respectively, in environmental burden (EI99H/A). This is confirmed by Majeau-Bettez et al. , quantifying only a 25% difference in the GWP during the production of the two different materials investigated (Table 4). Instead of the Li battery chemistry, methodical differences in LCA quantification seem to cause data deviations : While the ‘bottom-up’ method of, e.g., Notter, Althaus, and Ishihara leads to lower CO2-equivalent emissions, a ‘top-down’ approach (Zackrisson and Frischknecht) seems to generate higher results (Table 4). In addition to the different approaches to quantify costs of Li battery production, the application scenario has to be defined, which is a theoretical attempt since there is no widespread use of electric cars yet in everyday life: What is the annual distance traveled with an electric car? How many years will an electric car be in operation? How long does a battery in a car last? The latter depends on battery chemistry, its cycle strength, the quality of production, and pattern of everyday use. Also important is how charging is performed in everyday life - quick (at higher currents) or slow - and to which temperature fluctuations the battery will be exposed. Statistically usable data are not expected before BEV has been brought on the streets for routine use.
In conclusion, LCA database, so far, for Li-ion battery production still seems to be in substantial movement. This is even more the case when electricity sources change from fossil to renewable. Tao et al.  claim that CO2 emissions from electricity consumption during Li-ion battery production can be reduced by 95% to 98% if the production site is shifted from China/Europe to Iceland with its geothermal energy resources. Electricity production in Iceland causes a footprint of 18 to 23.5 g CO2/kWh only .
CO2-life cycle impact of the converted Smart (BEV vs. ICEV)
Carbon footprint and environmental impact quantification of standard automobile parts can be expected to generate less volatile data than the Li-ion battery. The glider, a car minus motor, gearbox, and fuel equipment, is taken as a useful basis for modeling . A full LCA of automobile use includes an impact quantification of the glider's production, the manufacturing of propulsion components (in an ICEV - the combustion engine, gearbox, and fuelling system; in a BEV - the electric engine plus electric controller system) rather than, for a BEV, the footprint of battery production. CO2 emission during operation of the car is quantified considering the consumed carbon-based fuel (ICEV) or indirect CO2 emission during electricity production (BEV). Even if a detailed LCA modeling of an individual car is not available for all its technical parts, a simplified life cycle assessment can be performed with comparative calculations based on LCA models published in detail: As an example, lifetime carbon footprints were estimated here according to the conversion of a used Smart in the laboratory of the authors (Figure 2). The LCA for the glider, drivetrain, and battery of the Smart were recalculated based on the data by Notter et al. . Measured weights of the Smart's glider, the gearbox (kept), the new electric motor, the battery as well as the controller, and further accessory parts were converted relative to the carbon footprint data by Notter et al. . The detailed material composition of the glider was not considered in this assessment. However, unlike the LCA data published so far, this estimation is not based on modeled cars but on a used car purchased on the market and then converted to electric. Also, different to most of the published data, petrol and electricity consumptions of the same car were measured prior to and after the technical conversion: The Smart has been driven along the same route and the same street conditions before and after electric conversion.
Real street data were chosen to evaluate the energy consumption. The ICEV Smart belongs to cars with some of the highest deviations between certified and reality fuel consumption (up to 60% ). We chose a mileage of 100,000 km on the assumption that the first battery will be kept within this range. Also, fossil-fuelled Smarts, on the other hand, can be expected to drive between 60,000 and 120,000 km with the first engine according to our knowledge, which allows a comparison between the ICEV and the electric version over 100,000 km. Operation emissions are both dominating the CO2 life cycle of the fossil fuel-propelled Smart (column 1, Figure 2) as well as an electric Smart (column 2, Figure 2) if charged with German mean grid electricity. This is in accordance with the findings of Helms et al.  as well as Notter et al. . Other studies report higher BEV CO2 life cycle impacts during operation when charged with grid mix, e.g. Helms et al.  with approximately 20 t (mid-size car) and Held and Baumann  also with approximately 20 t (mini-class), however recalculated for 150,000 to 171,600 km of operation. Other differences will partly be due to a higher battery and car weight (Table 5). However, we calculated the direct CO2 emissions due to fuel combustion (including fuel chain emissions) as well as indirect CO2 emissions due to consumption of the German grid electricity (for details, see explanatory notes in Figure 2). Calculation of CO2-equivalents based on ecoinvent 2.2 database adds up to 9.4 t instead of 8.2 t for the operation phase of the electric Smart (column 2 in Figure 2).
Literature comparison of the Smart e-conversion carbon footprint
According to our simplified LCA model, life cycle CO2 emissions could be reduced by 30% when switching from the petrol version to a new electric Smart (Figure 2). Fuelling the electric Smart with renewable electricity mix causes an additional 55% reduction of life cycle CO2 emissions (second and third column in Figure 2). However, we have chosen an already driven Smart with combustion engine over 100,000 km and converted it, so we can omit expenditure for the glider production (cutoff rule); this way halved again the life cycle CO2 emissions and ended up with 2.8 t (from column 3 to column 4 in Figure 2). Altogether, life cycle CO2 emissions when driving a Smart have been reduced by 86% due to this model (Figure 2, from the first to the last column). Life cycle CO2 emissions for the new electric Smart (first column in Figure 2) and, not shown in Figure 2, that of a converted used Smart propelled with German electricity mix (10.8 t in lifetime) are selected to calculate the overall g CO2/km impacts in Table 5.
Other findings in Table 5 need to be commented: Electric Smart has the lowest climate change impact, which was expected since it is the smallest car. It confirms a finding already published : The smaller the BEV, the more ecoefficient it is. This is also known from ICEV; however, it is more pronounced within BEV due to the high battery weight.
The data published by Althaus and Frischknecht (Table 5) seem to be in compliance with the Smart numbers. However, Althaus and Frischknecht modeled BEV twice the Smart's weight and even heavier. On the other hand, they based their life cycle emissions evaluation on Swiss electricity consumption. Swiss electricity GHG intensity is around 140 g CO2-eq/kWh (number for 2005 ), while in Germany, 563 g CO2/kWh (number for 2010, see above) must be taken into account. Lambrecht, Held as well as Held and Baumann  published larger climate change impacts. This is evident particularly for data extracted from Held and Baumann  based on a mini-class car quite comparable to the Smart. Since the carbon footprint we calculated for the Smart and Held and Baumann  calculated for a mini-class car (around 3 t CO2) for the platform (glider) is nearly the same, the deviation is due to a higher electricity consumption of 18.7 kWh/100 km assumed by Held and Baumann . Also, more than 6 t CO2 was modeled by Held and Baumann  for production and maintenance of the battery, which is six times more than we assumed based on the data by Notter et al. .
Charging the Smart with electricity of renewable origin (30 g CO2/kWh), however, would considerably decrease the overall climate change impact; the climate change impact of a new electric Smart would be more than halved on 63 g CO2/km, and the impact of the converted Smart is down to 30 g CO2/km, each calculated for 100,000 km of operation (not shown in Table 5).
Life cycle impact of plug-in hybrid electric vehicles
Samaras and Meisterling  published ICEV life cycle CO2-equivalent costs in the order of 270 g/km and for HEV of 180 to 190 g/km, respectively. Interestingly, with increasing the battery size of PHEV, CO2-equivalents decrease only little in the order of a few grams per kilometer . Similarly, Helms et al.  reported life cycle CO2-equivalent emissions for PHEV in the order of 150 g/km, operated with German average electricity (150,000 km life cycle). Their data revealed advantages for BEV over PHEV only in combination with wind power . Due to high battery production costs assumed, Held and Baumann  found advantages of PHEV over BEV in the criterions GWP and acidification potential (SO2-equivalent), with the latter not being confirmed by Helms et al. . Also, Althaus  stated that ‘electric vehicles with sufficient battery capacity for normal use and a range extender for special use perform better than electric vehicles with larger batteries’.
Life cycle impact categories other than global warming potential
Life cycle categories further than GWP implemented in LCA reports on electric cars published so far are abiotic depletion potential and non-renewable cumulative energy demand. Notter et al.  aggregated the three categories by the Ecoindicator 99 method, concluding that the environmental burden of BEV is significantly lower compared to ICEV. Aggregation to Ecoindicator 99 method revealed an environmental impact of BEV around 37% below that of ICEV. Althaus , however, pointed out additionally that BEV charged with electricity with a significant portion of nuclear energy will be associated with a backpack of nuclear waste production. Also, he identified disadvantages of BEV compared to ICEV in the land use category and, particularly noticeable, in the human toxicity potential category, both due to the production of the lithium battery. On the other hand, there are advantages of BEV over ICEV in the impact criterions resource damage and photochemical oxidation potential . Also, Held and Baumann  found out about a distinct disadvantage of BEV in the acidification potential. This is due to the sulfur emissions during the smelting of metals like Cu and Ni and may also be due to associated SO2 emissions when components are produced in countries like China, where electricity production is dominated by coal-fired power plants. However, there are differences within the batteries: LiFePO4 batteries have a lower acidification potential since they contain no nickel .
Helms et al.  did not report elevated acidifying emissions accompanying the BEV production but emphasized the SO2 emissions during BEV operation caused by electricity production from coal. This was confirmed by Helmers , who calculated the SO2 emissions accompanying the power usage of a BEV in Germany based on year 2006 data, revealing up to tenfold higher indirect SO2 emissions of a BEV compared to ICEV direct SO2 emissions. Indirect BEV emissions of NOx and fine dust according to electricity production, however, were smaller than direct ICEV emissions . Majeau-Bettez et al.  quantified the LCA emissions of battery production and use, reporting 14 to 19 g CO2-eq/km (battery only) for two Li-ion batteries (specified in Table 4). They quantified a lot of additional impact categories (freshwater and terrestrial ecotoxicity, freshwater eutrophication, marine ecotoxicity, metal depletion, ozone depletion, and particulate matter formation) to those mentioned above and concluded that Li-ion batteries are environmentally favorable compared to the NiMH battery .
The electric car seems to be a suitable instrument and a sustaining measure towards a more sustainable mobility future since it is four times more energy efficient compared to ICEV. Therefore, it is seen as a milestone towards a ‘Great Transformation’ . The TTW efficiency advantage of BEV over ICEV, together with the efficiency jump by Li-ion batteries, enable the electrification of the automobile as long as it is moved in regional ranges of up to 100 km per day. However, WTW efficiency of electric cars can reach exemplary figures only when electricity is provided by very efficient power plants and infrastructure, best with renewable energy production. Also, electric cars should be incorporated into a variety of modern mobility concepts (e.g., ).
Energy efficiency of an FCV propelled with hydrogen is only slightly lower compared to BEV; however, a lot of energy is lost during production and provision of compressed H2 even in the case of water electrolysis powered with renewable electricity. Also, hydrogen filling station infrastructure is missing and would be very expensive to build up, different to the charging infrastructure needed for electric cars.
Life cycle assessment of electric car mobility according to the literature already available is complex. Most LCA data deal with the global warming potential. Since CO2-equivalents emission during the operation is dominating the LCA in total, an electric car can already have ecoefficiency advantages when charged with grid electricity (500 to 600 g CO2/kWh presumed). However, charging the electric car with renewable electricity (30 g CO2/kWh) improves its LCA performance significantly. Ecoimpact of smaller BEV is also much better according to the high ecoimpact of the battery, which must increase parallel to the size of the car. Some LCA studies published so far modeled quite heavy BEV, which are additionally assumed to drive periodically at higher speeds, both inefficient for a BEV. In contrast, a small BEV like the electrified Smart presented here and moved locally as well as regionally only can have the most beneficial CO2-impact. During an e-conversion of a used car, as shown with the Smart, life cycle CO2 emissions can be reduced by more than 80% compared to that known from ICEV. However, this is a first estimation under optimistic assumptions (e.g., battery lifetime), which is planned to be critically reviewed in a more detailed model later.
Life cycle impact of BEV in categories other than the global warming potential reveals a complex picture, although BEV demonstrates advantages over ICEV in most categories. Althaus  even concludes that ‘carbon footprint is not sufficient as environmental performance indicator’ here. One disadvantage of BEV is the acidification potential associated with the smelting processes of Cu, Ni, and Co since a lot of Cu and, in some battery types, Ni and Co also are essential elements of electrical components. Additionally, there are acidifying emissions of coal-fired power plants depending on the local value of this type of power production. However, to what extent the local nearly zero-emission advantage of electric cars is incorporated into LCA models is still a question. Toxic emissions like NOx and fine dust are today shifted to power plants through the use of BEV (quantified in ), where it is easier to limit and control them. The BEV advantage of a much lower noise emission, for example, is not appreciated so far (a guideline is in preparation).
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The authors like to thank Katharina Schowalter, Rüdiger Hild and Bernd Fuss for data provision and Viola Helmers for the linguistic comments on the manuscript. We also appreciate the advice by M. Gauch and particularly G. Majeau-Bettez.
The authors declare that they have no competing interests.
EH carried out the whole manuscript despite of the Technology section, which was carried out by both authors. PM carried out the electric conversion of the used Smart. EH corrected and approved the final manuscript.
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Helmers, E., Marx, P. Electric cars: technical characteristics and environmental impacts. Environ Sci Eur 24, 14 (2012). https://doi.org/10.1186/2190-4715-24-14
- Battery electric vehicles
- Sustainable mobility
- Traffic emissions
- Internal combustion engine vehicle
- Plug-in hybrid electric vehicle
- Fuel cell vehicles
- Life cycle assessment
- Global warming potential
- Electric conversion