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Comparison of LD Vehicles

The 2024 Transportation Annual Technology Baseline (ATB) provides current and future projections of cost and performance for select light-duty vehicles.

The charts on this page show trajectories through 2050 for: 

  • Fuel economy, which is reported in miles per gallon gasoline equivalent and represents how efficiently a vehicle converts fuel during operation
  • Modeled vehicle price, which represents an estimated cost to the consumer for purchase of a new vehicle, including manufacturing costs and profit
  • Levelized cost of driving (LCOD), which is an indicator of the cost of operation over lifetime on a per-mile basis:
    • Includes initial costs for the vehicle, fuel costs, and, if applicable, residential charger equipment and installation
    • Does not include other operation or maintenance costs beyond fuel.
  • CO2e emissions, a metric that incorporates both the fuel emissions and the vehicle fuel economy.

These charts draw from a subset of fuels documented in the 2024 Transportation ATB. The full set of data can be downloaded and explored. In addition, each powertrain can be explored individually.

Estimates are provided for multiple powertrains, including fully commercial and early commercial technologies, and all results correspond to high production volume. Each powertrain has unique features and attributes, and each offers distinct advantages and has distinct limitations.

Examples of features that influence consumer decisions but are not captured in the cost metrics on this site include the following:

  • Convenience of fueling (e.g., where vehicles can be charged or filled, the time it takes to charge or fill, and the frequency with which a vehicle must be charged or filled)
  • Availability of make and models
  • Impact that advanced driving features (e.g., autonomous driving capability) would have on the cost of each powertrain.

Therefore, use caution in interpreting comparisons. No single metric is sufficient to compare the value of different powertrains for all uses. Not all estimates are developed with the same methods, making comparisons more difficult. Different powertrains are at different stages of commercialization and production volume, which influences cost and performance estimates.

Vehicle Metrics: Fuel Economy and Modeled Vehicle Price

The following chart shows two metrics associated with the vehicle:

  • Fuel economy represents how efficiently a vehicle converts fuel during operation.
  • Modeled vehicle price represents an estimated cost to the consumer to purchase a new vehicle, based on modeling that includes manufacturing costs and profit.

The source of the 2024 Transportation ATB modeled vehicle price and fuel economy is the Argonne National Laboratory (ANL) report (Islam et al., 2023); the original data are available here. These data are developed using ANL's Autonomie simulation tool.

Select the data to display using the menus above the chart. Use the Metric filter to switch between fuel economy and modeled vehicle price data. Select the vehicle class, powertrain, and other powertrain details using the additional filters.

Vehicle and Fuel Metrics: Levelized Cost of Driving and CO2e Emissions

The following chart shows levelized cost of driving (LCOD) and CO2emissions in addition to the associated fuel data. Levelized cost of driving is a metric that combines modeled vehicle price, fuel economy, fuel cost, and other assumptions for the selected fuel. CO2e emissions represents the emissions for the fuel well-to-wheels portion of the life cycle for the selected fuel. Emissions associated with vehicle life cycles are not included here. See "Levelized Cost of Driving and Emissions" on the main Technologies page for an explanation of the chart structure and content.  

These calculations use data from Argonne National Laboratory, which develops and applies the Autonomie simulation tool and R&D GREET model (Wang et al., 2023). Links to data from the ANL report (Islam et al., 2023) on modeled vehicle price and fuel economy are available here.   

Select the data to display using the buttons and menus above the chart. Use the Metric filter to switch between LCOD and CO2e emissions data. Select the pathway, scenario, vehicle class, powertrain, and powertrain details using the additional filters. Clicking the black arrows on the top right of the figure shows additional details of the selected fuel pathways. The underlying source for a data point in the chart can be seen by placing your mouse cursor over that data point. The data sources are also cited—with linked references—in the Key Assumptions section next.

Notes:

  • The LCOD includes initial costs for the vehicle, fuel costs, maintenance costs, and, if applicable, residential charger equipment and installation. It does not include other operational costs beyond fuel, such as insurance.
  • The levelized cost of driving does not depict other variables that influence consumer decisions, such as convenience (e.g., fill time, frequency, and location), driving experience and consumer preference, and availability of make/models.
  • No single metric is sufficient to fully compare the value of different powertrains for all uses.
  • Changes over time are attributable only to projected modeled vehicle price and performance; the fuel cost and emissions are constant over time based on the selected fuel.
  • The Fuel Pathway filter displays the selected fuel pathways for the Baseline FuelLowest Cost Fuel, and Lowest CO2e Emissions Fuel. The full set of fuel pathways is available in the data download.
  • Emissions references and fuels costs and prices references do not always use the same data source for a given pathway. We recommend caution in interpretation of combined sources of information.

Key Assumptions

The data and estimates presented here are based on the following key assumptions:

  • Technology Advances: Technology advances include changes that may reduce costs or may increase costs while improving performance, which implies costs do not always decline between less-advanced and more-advanced scenarios. However, though technology advancements that improve performance may increase vehicle cost, they may also result in a lower LCOD because of potential fuel savings. 
  • Production Volumes: The alternative fuel vehicle markets are less mature than those for internal combustion engine and hybrid electric vehicles; therefore, comparisons of these powertrains are complex. With the exception of fuel cell electric vehicles, all other powertrains depicted in the ATB are produced at high production volume today. Fuel cell electric vehicles are currently manufactured at low volumes. As production increases, greater economies of scale are expected to bring current, low-volume costs closer to the high-volume ATB trajectories. See the powertrain-specific pages listed on the left (and in the Technologies drop-down menu on the top of the page) for details about trajectory estimates.
  • Powertrain Comparisons: 
    • Modeled Vehicle Price: Relative modeled vehicle prices across powertrains reflect differences in vehicles configuration as well as differences in the level of advancement in components and technologies specific to one or more powertrains (e.g., fuel cells; high voltage batteries). For example, for some size classes, the ATB shows modeled vehicle prices for battery electric vehicles falling below those of internal combustion engine vehicles. In the base year, battery costs are sufficiently high that they outweigh the cost savings seen from the absence of an engine, transmission, and other components. However, future battery cost reductions (in addition to motor cost improvements) enable modeled prices for battery electric vehicles to fall below internal combustion engine vehicles. Additional details on component-level costs for the ATB Moderate and Advanced trajectories can be found in (Islam et al., 2023).
    • Levelized Cost of Driving: The Transportation ATB does not include all factors that determine the value of each vehicle technology to each user or for each application. Comparisons of the powertrain technologies presented here should be made with caution because their different attributes offer value across many dimensions with metrics that are not available here. Transportation ATB trajectories cover cost, fuel economy, and emissions, but various other factors influence vehicle adoption. For example, driving range, fueling availability and convenience, and driving experience may all affect a consumer's attitude toward a technology.
  • Vehicle Variations: The Transportation ATB presents estimates for a representative, single size of light-duty vehicle (midsize); we do not account for variations in make, model, and trim or for pricing incentives or geographic heterogeneity that influence prices in the market. As a result, representative values shown here may differ from specific models available on the market.
  • Fuel Economy Improvements: The assumptions about fuel economy improvements reflect the adoption of lightweighting and engine efficiency technologies consistently across vehicle powertrains for a given trajectory.
  • Vehicle Range: The vehicle ranges shown represent the adjusted real-world, on-road estimated driving range. The range is based on 55% city and 45% highway driving, using the Urban Dynamometer Driving Schedule and Highway Fuel Economy Test drive cycles, respectively. For battery electric vehicles (BEVs) and plug-in hybrid electric vehicles (PHEVs), this represents the all-electric (charge-depleting) range. Range can be an important determinant of cost for PHEVs, BEVs, and fuel cell electric vehicles, with longer ranges requiring higher-cost fuel storage systems (i.e., batteries or hydrogen storage tanks). Based on data from the National Household Travel Survey, 95% of U.S. vehicle trips are less than 31 miles (Oak Ridge National Laboratory, 2019).
  • Utility Factor-Weighted Average: The fuel economy shown for the PHEV is the utility factor-weighted average. This refers to the weighting of the fuel economy by the share of mileage powered by electricity versus the share of mileage powered by liquid fuel to calculate the average electricity and liquid fuel consumption across charge-depleting and charge-sustaining modes.
  • Selected Fuel Pathways: The levelized cost of driving and emissions estimates shown here are calculated with three sets of fuels (baseline fuellowest cost fuel, and lowest CO2e emissions fuel) for each powertrain (see selected fuel pathways). Select Lowest Cost or Lowest Emissions to display those selected fuel pathways, and see the respective Fuels pages for the entire set of fuels data that can be downloaded for exploration.
  • Baseline and Lowest Cost Fuel: The baseline fuel and lowest cost fuel are equivalent for gasoline and diesel vehicles. Current market prices for E10 gasoline with starch ethanol and diesel are used for the baseline fuel; future prices are expected to increase with oil prices, and biofuel blends are currently estimated at higher costs—resulting in current market prices to also be the lowest-cost fuel in the 2024 Transportation ATB. For battery electric vehicles and plug-in hybrid electric vehicles, the baseline fuel for electricity is based on plug-in electric vehicle (PEV) charging assumptions with the current national grid mix and electricity prices (see the Electricity page). The lowest-cost fuel price for electricity is only slightly lower than the baseline fuel and corresponds to the future low renewable energy penetration grid mix, which assumes lower natural gas prices. For hydrogen, technology advancements and scale are assumed to reduce hydrogen prices; therefore, the baseline fuel and lowest-cost fuel prices are more distinct.
  • Frozen Fuel Price Level: The fuel price and emissions of the selected fuel pathways (e.g., Baseline, Lowest Cost, and Lowest Emissions) are associated with a single year. Because we do not provide a time-series trajectory, here we show fuel price at a frozen level for all years so we can offer a range of fuel price values. In the levelized cost of driving and emissions charts, this approach clearly distinguishes effects of fuels from those of vehicle technologies because fuels remain constant whereas vehicle technologies change over time.
  • Fuels References: See fuels and blendstock pages for a full description of fuels references. References for ethanol include (EIA, 2023a)(Elgowainy et al., 2016)(Dutta et al., 2011)(Wang et al., 2023)(Lee et al., 2021)(Humbird et al., 2011)(Tao et al., 2014), and (Dunn et al., 2013). References for blendstock for oxygenate blending (BOB) include (EIA, 2024)(EIA, 2023a), and  (Wang et al., 2023). References for petro- and bio-based diesel include include (EIA, 2023a)(EIA, 2024)(DOE, 2023)(Dutta et al., 2021)(Tao et al., 2017)(Tan et al., 2021)(Wang et al., 2023)(Xie et al., 2011)(Xu et al., 2022), and (Zhu et al., 2020)
  • References for natural gas include (DOE, 2023) and (Wang et al., 2023). References for electricity include (EIA, 2023b)(EIA, 2023c)(EIA, 2023a)(Gagnon et al., 2024), and (Wang et al., 2023). References for hydrogen include (Bracci et al., 2024)(DOE, 2024a)(DOE, 2024b)(Hubert et al., 2024), and (Wang et al., 2023)
  • Taxes: Fuel prices include taxes for all fuels that are currently taxed (e.g., gasoline). We do not include taxes for fuels that are not taxed for transportation today (e.g., electricity and hydrogen).
  • LCOD: See the LCOD definition for details about this calculation.
  • Well-to-Wheels Emissions: See the well-to-wheels emissions definition for additional discussion on the fuel and vehicle emissions.

Definitions

For detailed definitions, see:

Emissions

Fuel economy

Levelized cost of driving

Scenarios

Modeled vehicle price

Vehicle Range

References

The following references are specific to this page; for all references in this ATB, see References.

Islam, Ehsan Sabri, Daniela Nieto Prada, Ram Vijayagopal, Charbel Mansour, Paul Phillips, Namdoo Kim, Michel Alhajjar, and Aymeric Rousseau. “Detailed Simulation Study to Evaluate Future Transportation Decarbonization Potential.” Report to the US Department of Energy, Contract ANL/TAPS-23/3. Argonne National Laboratory (ANL), Argonne, IL (United States), October 2023. https://anl.app.box.com/s/hv4kufocq3leoijt6v0wht2uddjuiff4.

Wang, Michael, Amgad Elgowainy, Uisung Lee, Kwang Hoon Baek, Sweta Balchandani, Pahola Thathiana Benavides, Andrew Burnham, et al. “Summary of Expansions and Updates in R&D GREET® 2023.” Argonne National Lab. (ANL), Argonne, IL (United States), December 1, 2023. https://doi.org/10.2172/2278803.

Oak Ridge National Laboratory. “National Household Travel Survey,” February 2019. https://nhts.ornl.gov/vehicle-trips.

EIA. “Annual Energy Outlook 2023.” Washington D.C.: U.S. Energy Information Administration, March 16, 2023a. https://www.eia.gov/outlooks/aeo/.

Elgowainy, Amgad, Jeongwoo Han, Jacob Ward, Fred Joseck, David Gohlke, Alicia Lindauer, Todd Ramsden, et al. “Cradle-to-Grave Lifecycle Analysis of U.S. Light-Duty Vehicle-Fuel Pathways: A Greenhouse Gas Emissions and Economic Assessment of Current (2015) and Future (2025–2030) Technologies,” September 1, 2016. https://doi.org/10.2172/1324467.

Dutta, A., M. Talmadge, J. Hensley, M. Worley, D. Dudgeon, D. Barton, P. Groendijk, et al. “Process Design and Economics for Conversion of Lignocellulosic Biomass to Ethanol: Thermochemical Pathway by Indirect Gasification and Mixed Alcohol Synthesis.” Golden, CO (United States): National Renewable Energy Laboratory, May 1, 2011. https://doi.org/10.2172/1015885.

Lee, Uisung, Hoyoung Kwon, May Wu, and Michael Wang. “Retrospective Analysis of the U.S. Corn Ethanol Industry for 2005–2019: Implications for Greenhouse Gas Emission Reductions.” Biofuels, Bioproducts, and Biorefining 15, no. 5 (2021): 1318–31. https://doi.org/10.1002/bbb.2225.

Humbird, D, R Davis, L Tao, C Kinchin, D Hsu, A Aden, P Schoen, et al. “Process Design and Economics for Biochemical Conversion of Lignocellulosic Biomass to Ethanol: Dilute-Acid Pretreatment and Enzymatic Hydrolysis of Corn Stover,” March 1, 2011. https://doi.org/10.2172/1013269.

Tao, L., D. Schell, R. Davis, E. Tan, R. Elander, and A. Bratis. “NREL 2012 Achievement of Ethanol Cost Targets: Biochemical Ethanol Fermentation via Dilute-Acid Pretreatment and Enzymatic Hydrolysis of Corn Stover,” April 1, 2014. https://doi.org/10.2172/1129271.

Dunn, Jennifer, Michael Johnson, Zhichao Wang, Michael Wang, Kara Cafferty, Jake Jacobson, Erin Searcy, et al. “Supply Chain Sustainability Analysis of Three Biofuel Pathways: Biochemical Conversion of Corn Stover to Ethanol Indirect Gasification of Southern Pine to Ethanol Pyrolysis of Hybrid Poplar to Hydrocarbon Fuels.” Argonne, IL (United States): Argonne National Laboratory, November 2013. https://publications.anl.gov/anlpubs/2014/07/78878.pdf.

EIA. “U.S. Gasoline and Diesel Retail Prices,” 2024. https://www.eia.gov/dnav/pet/pet_pri_gnd_dcus_nus_a.htm.

DOE. “Clean Cities Alternative Fuel Price Report, 2022.” Washington D.C.: U.S. Department of Energy, 2023. afdc.energy.gov/fuels/prices.html.

Dutta, Abhijit, Calvin Mukarakate, Kristiina Iisa, Huamin Wang, Michael Talmadge, Daniel Santosa, Kylee Harris, et al. “Ex Situ Catalytic Fast Pyrolysis of Lignocellulosic Biomass to Hydrocarbon Fuels: 2020 State of Technology.” National Renewable Energy Lab. (NREL), Golden, CO (United States), June 1, 2021. https://doi.org/10.2172/1805204.

Tao, Ling, Anelia Milbrandt, Yanan Zhang, and Wei-Cheng Wang. “Techno-Economic and Resource Analysis of Hydroprocessed Renewable Jet Fuel.” Biotechnology for Biofuels 10, no. 1 (November 9, 2017): 261. https://doi.org/10.1186/s13068-017-0945-3.

Tan, Eric C. D., Troy R. Hawkins, Uisung Lee, Ling Tao, Pimphan A. Meyer, Michael Wang, and Tom Thompson. “Biofuel Options for Marine Applications: Technoeconomic and Life-Cycle Analyses.” Environmental Science & Technology 55, no. 11 (June 1, 2021): 7561–70. https://doi.org/10.1021/acs.est.0c06141.

Xie, Xiaomin, Michael Wang, and Jeongwoo Han. “Assessment of Fuel-Cycle Energy Use and Greenhouse Gas Emissions for Fischer−Tropsch Diesel from Coal and Cellulosic Biomass.” Environmental Science & Technology 45, no. 7 (April 1, 2011): 3047–53. https://doi.org/10.1021/es1017703.

Xu, Hui, Longwen Ou, Yuan Li, Troy R. Hawkins, and Michael Wang. “Life Cycle Greenhouse Gas Emissions of Biodiesel and Renewable Diesel Production in the United States.” Environmental Science & Technology 56, no. 12 (June 21, 2022): 7512–21. https://doi.org/10.1021/acs.est.2c00289.

Zhu, Yunhua, Susanne B. Jones, Andrew J. Schmidt, Justin M. Billing, Michael R. Thorson, Daniel M. Santosa, Richard T. Hallen, and Daniel B. Anderson. “Algae/Wood Blends Hydrothermal Liquefaction and Upgrading: 2019 State of Technology,” April 27, 2020. https://doi.org/10.2172/1616287.

EIA. “Electricity Data Browser - Average Retail Price of Electricity,” 2023b. https://www.eia.gov/electricity/data/browser/#/topic/7?agg=0,1&geo=g00080000004&endsec=vg&linechart=ELEC.PRICE.US-ALL.A&columnchart=ELEC.PRICE.US-ALL.A&map=ELEC.PRICE.US-ALL.A&freq=A&start=2021&end=2023&ctype=linechart&ltype=pin&rtype=s&pin=&rse=0&maptype=0.

EIA. “Electricity Data Browser - Net Generation for All Sectors,” 2023c. https://www.eia.gov/electricity/data/browser/#/topic/0?agg=0,1&geo=g00080000004&freq=A&start=2021&end=2023&ctype=linechart&ltype=pin&rtype=s&maptype=0&rse=0&pin=.

Gagnon, Pieter, An Pham, Wesley Cole, Sarah Awara, Anne Barlas, Maxwell Brown, Patrick Brown, et al. “2023 Standard Scenarios Report: A U.S. Electricity Sector Outlook.” National Renewable Energy Laboratory (NREL), Golden, CO (United States), January 1, 2024. https://doi.org/10.2172/2274777.

Bracci, Justin, Mariya Koleva, and Mark Chung. “Levelized Cost of Dispensed Hydrogen for Heavy-Duty Vehicles.” National Renewable Energy Laboratory (NREL), Golden, CO (United States), March 5, 2024. https://doi.org/10.2172/2322556.

DOE. “Alternative Fuels Data Center,” 2024a. https://afdc.energy.gov/.

DOE. “Hydrogen and Fuel Cell Technologies Office Multi-Year Program Plan.” DOE, 2024b. https://www.energy.gov/sites/default/files/2024-05/hfto-mypp-2024.pdf.

Hubert, McKenzie, David Peterson, Eric Miller, James Vickers, Rachel Mow, and Campbell Hoew. “Clean Hydrogen Production Cost Scenarios with PEM Electrolyzer Technology.” DOE Hydrogen Program Record. DOE Hydrogen and Fuel Cells Technology Office, May 20, 2024. https://www.hydrogen.energy.gov/docs/hydrogenprogramlibraries/pdfs/24005-clean-hydrogen-production-cost-pem-electrolyzer.pdf?sfvrsn=8cb10889_1.

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