Energy Management Method for Diesel Hydrogen Hybrid Vehicles andEvaluation of Renewable Energy Applications

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Authors: Zhengxian Chen, chenggang zhang, Yuyang Pan, Jingyue Zheng, Fojin Zhou, Peng Ni, Yichong Li, Junyi Wang, Tianyang Gong, Xun Hu, Minhao Gao, Yuxing Wu
+4 more Mingyang Li, Pengyi Xiao, Mingqiang Wang, Jun Li
Cited by: 0

Abstract

How to maximize the use of renewable energy to achieve the most efficient utilization of energy resources is increasingly drawing attention.Against this backdrop, this study proposes a rule-based energy management strategy optimized by the Sparrow Search Algorithm for a novel diesel-hydrogen hybrid power system, investigating the impact of varying power source limits through simulation.The findings demonstrate that controlling the diesel engine power limit to 40-45 kW and the fuel cell power limit to 5-10 kW maximizes the renewable energy proportion and achieves significant energy conservation, establishing an optimal balance between sustainability and dynamic performance

Fields of Study & Subjects

Electric and Hybrid Vehicle Technologies Hybrid Renewable Energy Systems Vehicle emissions and performance

Publication details

Publication date
11 January 2026
Document type
Preprint