The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Direct hydrogen fuel cell electric vehicle cost analysis: System and high-volume manufacturing description, validation, and outlook
Open accessAbstract
Abstract Direct hydrogen fuel cell electric vehicles (FCEVs) produce only water as a byproduct, thereby eliminating tailpipe carbon and criteria air pollutant emissions associated with internal combustion engine vehicles (ICEVs). However, in order to achieve economic parity with ICEVs, technological challenges must be overcome to lower system cost. The U.S. Department of Energy (DOE) monitors estimated fuel cell (FC) system cost and tracks progress towards milestones by techno-economic analysis based on demonstrated laboratory technologies for a next-generation 80 kWnet automotive FC stack for light-duty vehicles. The findings of the 2017 automotive FC system cost analysis are summarized, including the baseline system characteristics and specifications and the results of Design for Manufacture and Assembly (DFMA®) analysis of system manufacturing across a range of annual production rates. The highest volume predictions, for 100,000 and 500,000 units per year, result in a total system cost of $50/kWnet and $45/kWnet, respectively. The assumptions and methodology of the DFMA® analysis of the 2017 baseline FC system were validated by comparison with the FC system in the commercially available Toyota Mirai. One prospective pathway for decreasing system cost to $30/kWnet needed for cost competitiveness with ICEVs is outlined.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Product design for manufacture and assembly
Boothroyd, G. (1994) · Computer-Aided Design · doi:10.1016/0010-4485(94)90082-5 · Cited by 1,726
Boosting Fuel Cell Performance with Accessible Carbon Mesopores
Yarlagadda, V., Carpenter, M. K., Moylan, T. E., Kukreja, R. S., Koestner, R., Gu, W., Thompson, L., & Kongkanand, A. (2018) · ACS Energy Letters · doi:10.1021/acsenergylett.8b00186 · Cited by 686
Design and Synthesis of Bimetallic Electrocatalyst with Multilayered Pt-Skin Surfaces
Wang, C., Chi, M., Li, D., Strmcnik, D., van der Vliet, D., Wang, G., Komanicky, V., Chang, K.-C., Paulikas, A. P., Tripkovic, D., et al. (2011) · Journal of the American Chemical Society · doi:10.1021/ja2047655 · Cited by 618
Development of Compact and High-Performance Fuel Cell Stack
Konno, N., Mizuno, S., Nakaji, H., & Ishikawa, Y. (2015) · SAE International Journal of Alternative Powertrains · doi:10.4271/2015-01-1175 · Cited by 291
Padgett, E., Andrejevic, N., Liu, Z., Kongkanand, A., Gu, W., Moriyama, K., Jiang, Y., Kumaraguru, S., Moylan, T. E., Kukreja, R. S., et al. (2018) · Journal of The Electrochemical Society · doi:10.1149/2.0541803jes · Cited by 162
ElectroCat: DOE's approach to PGM-free catalyst and electrode R&D
Thompson, S. T., Wilson, A. R., Zelenay, P., Myers, D. J., More, K. L., Neyerlin, K. C., & Papageorgopoulos, D. C. (2018) · Solid State Ionics · doi:10.1016/j.ssi.2018.01.030 · Cited by 154
Self-citationCetinbas, F. C., Ahluwalia, R., Kariuki, N. N., Andrade, V. D., Fongalland, D., Smith, L., Sharman, J. D. B., Ferreira, P. J., Rasouli, S., & Myers, D. J. (2017) · Journal of Power Sources · doi:10.1016/j.jpowsour.2017.01.104 · Cited by 99
Self-citationManufacturing process assumptions used in fuel cell system cost analyses
Marcinkoski, J., James, B. D., Kalinoski, J. A., Podolski, W. F., Benjamin, T. G., & Kopasz, J. P. (2011) · Journal of Power Sources · doi:10.1016/j.jpowsour.2011.02.035 · Cited by 72
Self-citationPerformance of advanced automotive fuel cell systems with heat rejection constraint
Ahluwalia, R., Wang, X., & Steinbach, A. J. (2016) · Journal of Power Sources · doi:10.1016/j.jpowsour.2016.01.060 · Cited by 41
Self-citation
Cited by
Kodama, K., Nagai, T., Kuwaki, A., Jinnouchi, R., & Morimoto, Y. (2021) · Nature Nanotechnology · doi:10.1038/s41565-020-00824-w · Cited by 894
Jiao, L., Li, J., Richard, L. L., Sun, Q., Stracensky, T., Liu, E., Sougrati, M. T., Zhao, Z., Yang, F., Zhong, S., et al. (2021) · Nature Materials · doi:10.1038/s41563-021-01030-2 · Cited by 707
Mastoi, M. S., Zhuang, S., Munir, H. M., Haris, M., Hassan, M., Usman, M., Bukhari, S. S. H., & Ro, J.-S. (2022) · Energy Reports · doi:10.1016/j.egyr.2022.09.011 · Cited by 523
Du, L., Prabhakaran, V., Xie, X., Park, S., Wang, Y., & Shao, Y. (2021) · Advanced Materials · doi:10.1002/adma.201908232 · Cited by 357
Nazir, H., Muthuswamy, N., Louis, C., Jose, S., Prakash, J., Buan, M. E. M., Flox, C., Chavan, S., Shi, X., Kauranen, P., et al. (2020) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2020.07.256 · Cited by 265
Metadata
- Authors
- Thompson, S. T., James, B. D., Huya-Kouadio, J. M., Houchins, C., DeSantis, D. A., Ahluwalia, R., Wilson, A. R., Kleen, G., & Papageorgopoulos, D.
- Venue
- Journal of Power Sources
- Publisher
- Elsevier BV
- Published
- 2018-09
- Volume
- 399
- Pages
- 304-313
- ISSN
- 0378-7753 (ISSN-L)
- OpenAlex
- W2887180341
- Cited by
- 369
- References
- 9
- FWCI
- 11.85
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Direct hydrogen fuel cell electric vehicle cost analysis: System and high-volume manufacturing description, validation, and outlook. https://app.cochat.ai/papers/10.1016/j.jpowsour.2018.07.100
- The paper
- Thompson, S. T., James, B. D., Huya-Kouadio, J. M., Houchins, C., DeSantis, D. A., Ahluwalia, R., Wilson, A. R., Kleen, G., & Papageorgopoulos, D. (2018). Direct hydrogen fuel cell electric vehicle cost analysis: System and high-volume manufacturing description, validation, and outlook. Journal of Power Sources. https://doi.org/10.1016/j.jpowsour.2018.07.100
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
