Deep neural network-based modeling and optimization methodology of fuel cell electric vehicles considering power sources and electric motors-Reference-Cited by-同舟云学术

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Deep neural network-based modeling and optimization methodology of fuel cell electric vehicles considering power sources and electric motors

Published:2024-05 Issue: Volume:603 Page:234401
ISSN:0378-7753
Container-title:Journal of Power Sources
language:en
Short-container-title:Journal of Power Sources

Author:

Kim Dong-Min^ORCID,Kwon Kihan,Cha Kyoung-Soo,Min Seungjae^ORCID,Lim Myung-Seop

Publisher

Elsevier BV

Reference48 articles.

1. The Paris Agreement and NDCs;United Nations Climate Change,2014

2. Volvo Cars to be fully electric by 2030;Volvo Cars Global Newsroom,2024

3. Life-cycle implications of hydrogen fuel cell electric vehicle technology for medium- and heavy-duty trucks;Lee;J. Power Sources,2018

4. Resource implications of alternative strategies for achieving zero greenhouse gas emissions from light-duty vehicles by 2060;Harvey;Appl. Energy,2018

5. Obstacles to the success of fuel-cell electric vehicles: Are they truly impossible to overcome?;Kim;IEEE Electrif. Mag.,2018

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