The International Journal of Life Cycle Assessment

, Volume 24, Issue 12, pp 2220–2237 | Cite as

Prospective cost and environmental impact assessment of battery and fuel cell electric vehicles in Germany

  • Kai BekelEmail author
  • Stefan Pauliuk



The goal of this study was to provide a holistic, reliable, and transparent comparison of battery electric vehicles (BEVs) and fuel cell electric vehicles (FCVs) regarding their environmental impacts (EI) and costs over their whole life cycle. The comprehensive knowledge about EI and costs forms the basis on which to decide which technology should be favored for the future of mobility.


Therefore, a holistic and transparent comparative life cycle assessment (LCA), using the ReCiPe 2016 method, and a life cycle costing were conducted. Special attention was paid to the fuel supply infrastructure for BEV and FCV as these have not been sufficiently considered in previous research. The required infrastructure was calculated for six million electric vehicles (EVs) and the EI and costs were allocated proportional on the functional unit of 1 km driven with an EV. Different scenarios regarding electricity mix, range of the BEV, and vehicle lifetime were calculated. In order to ensure transparency, all inventories and calculations were published in the attached Electronic supplementary material (ESM).

Results and discussion

Detailed results were presented for the impact categories global warming potential (GWP), human toxicity potential non-carcinogenic (HTPnc), surplus ore potential (SOP), and particulate matter formation potential (PMFP). Aggregated results for all midpoint impact categories of the ReCiPe method can be found in the ESM. It was shown that BEVs achieve lower EI than FCVs in most impact categories (e.g., GWP: BEV: 1.40E-01, FCV: 1.68E-01 kg CO2-eq./km) and that the total costs of ownership are as well lower for BEVs (68,900 € vs. 130,100 €). Further, it was found that the fuel supply infrastructure—without electricity supply—contributes a considerable amount to the overall impact per kilometer driven (e.g., 3.7% and 3.3% of the GWP for BEV and FCV, respectively).


Considering mid-size vehicles like the VW e-Golf, it was concluded that BEVs have today a better environmental and financial performance than FCVs. However, the range of the BEV is lower than the range of the FCV (200 vs. 530 km) and both technologies have different stages of maturity. Moreover, the study showed that the fuel supply infrastructure is an important contributor to the overall life cycle impacts and that it is therefore indispensable to include the infrastructure in LCA of electric vehicles. Based on the results, recommendations to utilize the advantage of both BEV (high energy efficiency, lower costs) and FCV (long-distance capability) were made.


Battery electric vehicles Fuel cell electric vehicles Life cycle assessment Life cycle costing Transport Sustainable transportation 



Battery electric vehicle


Balance of plant (control unit for the fuel cell)


Capital expenditures (investment costs)


Environmental impacts


End of life


Electric vehicles


Fuel cell vehicles


Full-load hours


Fuel supply infrastructure (chargers for BEVs and the hydrogen production and distribution in case of FCVs)


Greenhouse gases


Global warming potential


Human toxicity potential


Impact categories


Internal combustion engine vehicles


Life cycle assessment


Life cycle costing


Life cycle impact assessment


Surplus ore potential


Particulate matter formation potential


Surcharges, fees, and taxes, which has to be paid for electricity


Total cost of ownership


Wearing and maintenance



We thank T. Smolinka (Fraunhofer ISE) and N. Rice (ITM Power) for their help in preparing the inventories for the PEM electrolyzer.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Supplementary material

11367_2019_1640_MOESM1_ESM.xlsx (121 kb)
ESM 1 (XLSX 427 kb)
11367_2019_1640_MOESM2_ESM.xlsx (121 kb)
ESM 2 (XLSX 120 kb)
11367_2019_1640_MOESM3_ESM.xlsx (5.3 mb)
ESM 3 (XLSX 5431 kb)


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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Industrial Ecology Freiburg, Faculty of Environment and Natural ResourcesUniversity of FreiburgFreiburgGermany

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