Research and Comparative Analysis of Energy Management Strategies for Hybrid Electric Vehicles: A Review

Fan Wang, Yina Hong and Xiaohuan Zhao ()
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Fan Wang: Energy and Electricity Research Center, International Energy College, Zhuhai Campus, Jinan University, Zhuhai 519070, China
Yina Hong: Energy and Electricity Research Center, International Energy College, Zhuhai Campus, Jinan University, Zhuhai 519070, China
Xiaohuan Zhao: Energy and Electricity Research Center, International Energy College, Zhuhai Campus, Jinan University, Zhuhai 519070, China

Energies, 2025, vol. 18, issue 11, 1-28

Abstract: Hybrid electric vehicles have received more and more attention owing to energy saving and environmental protection. Optimized energy-management strategies are critical to improve vehicle energy efficiency and reduce the emissions of hybrid electric vehicles. This study summarized the research status of energy-management strategies for hybrid electric vehicles and analyzed the energy allocation and modeling methods of hybrid power systems. The principles, advantages, and limitations of rule-based and optimized and learning-based energy-management strategies were compared. It is found that the optimized energy-management strategies can improve fuel economy by approximately 6% compared with the rule-based energy-management strategies. The learning-based energy-management strategies can reduce fuel consumption by about 5.2~17%. This study can provide a theoretical basis and practical guidance for the efficient design and optimization of hybrid electric vehicle energy-management systems, which can promote the development and application of related technologies.

Keywords: hybrid electric vehicles; energy management strategy; hybrid power system; rule-based strategy; optimized strategy; learning strategy (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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