基于工况识别的燃料电池电动汽车能量管理策略

Translated title of the contribution: Energy management strategy of fuel cell electric vehicle based on work condition recognition

Zelong Zhang, Yigeng Huangfu, Jiang Wei

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

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.

Translated title of the contributionEnergy management strategy of fuel cell electric vehicle based on work condition recognition
Original languageChinese (Traditional)
Pages (from-to)683-688
Number of pages6
JournalXibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
Volume42
Issue number4
DOIs
StatePublished - Aug 2024

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