Articles | Volume 13, issue 1
https://doi.org/10.5194/ms-13-147-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/ms-13-147-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Review article: A comprehensive review of energy management strategies for hybrid electric vehicles
Yuzheng Zhu
School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
Xueyuan Li
CORRESPONDING AUTHOR
School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
Qi Liu
School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
Songhao Li
School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
Yao Xu
School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
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Cited
37 citations as recorded by crossref.
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- Mathematical Modeling and Genetic Algorithm-Based Energy Management in Hydrogen PEM Fuel Cell Electric Vehicles R. Mulik et al. https://doi.org/10.4271/2026-26-0257
Latest update: 01 Sep 2026
Short summary
Energy management strategies (EMSs) play an important role in hybrid electric vehicles. In this review, EMSs based on the intelligent transportation system are considered in parallel to rule-based and optimization-based EMSs. For each EMS, a comprehensive and detailed review, based on energy management methods or algorithms, summarizes the advanced research results of scholars. The principles and the advantages and disadvantages of different EMSs are expressed using figures and tables.
Energy management strategies (EMSs) play an important role in hybrid electric vehicles. In this...