Xiaodong Sun , Ziyin Dong , Yingfeng Cai , Zhijia Jin , Gang Lei , Xiang Tian
{"title":"A comprehensive review of design optimization methods for hybrid electric vehicles","authors":"Xiaodong Sun , Ziyin Dong , Yingfeng Cai , Zhijia Jin , Gang Lei , Xiang Tian","doi":"10.1016/j.rser.2025.115765","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"217 ","pages":"Article 115765"},"PeriodicalIF":16.3000,"publicationDate":"2025-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Renewable and Sustainable Energy Reviews","FirstCategoryId":"1","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1364032125004381","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍:
The mission of Renewable and Sustainable Energy Reviews is to disseminate the most compelling and pertinent critical insights in renewable and sustainable energy, fostering collaboration among the research community, private sector, and policy and decision makers. The journal aims to exchange challenges, solutions, innovative concepts, and technologies, contributing to sustainable development, the transition to a low-carbon future, and the attainment of emissions targets outlined by the United Nations Framework Convention on Climate Change.
Renewable and Sustainable Energy Reviews publishes a diverse range of content, including review papers, original research, case studies, and analyses of new technologies, all featuring a substantial review component such as critique, comparison, or analysis. Introducing a distinctive paper type, Expert Insights, the journal presents commissioned mini-reviews authored by field leaders, addressing topics of significant interest. Case studies undergo consideration only if they showcase the work's applicability to other regions or contribute valuable insights to the broader field of renewable and sustainable energy. Notably, a bibliographic or literature review lacking critical analysis is deemed unsuitable for publication.