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