A comprehensive review of design optimization methods for hybrid electric vehicles

Xiaodong Sun, Ziyin Dong, Yingfeng Cai, Zhijia Jin, Gang Lei and Xiang Tian

Renewable and Sustainable Energy Reviews, 2025, vol. 217, issue C

Abstract: Due to the advantages of low emissions and high energy efficiency, hybrid electric vehicles (HEVs) have garnered significant attention in the automotive industry. However, addressing the multi-variable, nonlinear, and multi-dimensional optimization challenges arising from the collaborative operation of multiple power sources remains a complex and unresolved issue in HEVs. It is imperative to build an efficient system to achieve an optimal design. Many researchers have already explored various design optimization methods for HEVs. The review aims to integrate and critically analyze the current research status of optimal design methods from three perspectives, offering insights into future developments. It provides valuable guidance and reference for professionals developing, designing, and optimizing HEVs.

Keywords: Hybrid electric vehicles (HEVs); Optimal design; Topology optimization; Control strategies; Energy management; Optimization algorithms (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1016/j.rser.2025.115765

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