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Energy management strategy of fuel cell electric vehicle based on work condition recognition

Authors :
ZHANG Zelong
HUANGFU Yigeng
WEI Jiang
Source :
Xibei Gongye Daxue Xuebao, Vol 42, Iss 4, Pp 683-688 (2024)
Publication Year :
2024
Publisher :
EDP Sciences, 2024.

Abstract

To reduce hydrogen consumption in fuel cell electric vehicles, mitigate power fluctuations, and maintain the battery system's state of charge, a novel transition process recognition method based on work condition recognition framework of energy management strategy is proposed. This method offers the advantages such as higher recognition rates and faster recognition speed comparing with the traditional condition recognition methods. A comparison is made with the commonly used LVQ recognition method, and the simulations are conducted to demonstrate the superiority of this condition recognition algorithm and the improved performance of the energy management strategy based on the present recognition method under mixed work conditions.

Details

Language :
Chinese
ISSN :
10002758 and 26097125
Volume :
42
Issue :
4
Database :
Directory of Open Access Journals
Journal :
Xibei Gongye Daxue Xuebao
Publication Type :
Academic Journal
Accession number :
edsdoj.60550410994d491db6bbcdb1f9c0b2c4
Document Type :
article
Full Text :
https://doi.org/10.1051/jnwpu/20244240683