Hui Li , Chia Ai Ooi , Zixiang Jia , Khalid Ammar , Mohamad Khairi Ishak
{"title":"A review of active cell balancing methods in electric vehicles","authors":"Hui Li , Chia Ai Ooi , Zixiang Jia , Khalid Ammar , Mohamad Khairi Ishak","doi":"10.1016/j.ecmx.2025.101244","DOIUrl":null,"url":null,"abstract":"<div><div>The high energy density and modularity of Lithium-ion (Li-ion) batteries make them ideal for electric vehicles (EVs). However, in series-connected battery packs, cell imbalance emerges as a critical challenge, resulting in voltage variations, accelerated aging, safety concerns, and reduced usable capacity. This paper systematically compares and evaluates active cell balancing methods, presenting a comparative analysis to provide a suitable selection for EVs. Furthermore, it offers a classification of DC-DC converter-based balancing circuits, distinguishing between non-isolated and isolated configurations based on their electrical isolation characteristics, analyzing their trade-offs in efficiency, cost, and balancing speed. To validate these topologies, four DC-DC converter-based balancing structures are modeled and simulated in MATLAB/Simulink. The simulation results provide a comparative performance analysis, with particular emphasis on balancing speed and current ripple characteristics. Based on these findings, the paper discusses the relative characteristics of the four methods. Finally potential research directions for optimizing cell balancing techniques are outlined to guide future studies in this field.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"28 ","pages":"Article 101244"},"PeriodicalIF":7.6000,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy Conversion and Management-X","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2590174525003769","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
Abstract
The high energy density and modularity of Lithium-ion (Li-ion) batteries make them ideal for electric vehicles (EVs). However, in series-connected battery packs, cell imbalance emerges as a critical challenge, resulting in voltage variations, accelerated aging, safety concerns, and reduced usable capacity. This paper systematically compares and evaluates active cell balancing methods, presenting a comparative analysis to provide a suitable selection for EVs. Furthermore, it offers a classification of DC-DC converter-based balancing circuits, distinguishing between non-isolated and isolated configurations based on their electrical isolation characteristics, analyzing their trade-offs in efficiency, cost, and balancing speed. To validate these topologies, four DC-DC converter-based balancing structures are modeled and simulated in MATLAB/Simulink. The simulation results provide a comparative performance analysis, with particular emphasis on balancing speed and current ripple characteristics. Based on these findings, the paper discusses the relative characteristics of the four methods. Finally potential research directions for optimizing cell balancing techniques are outlined to guide future studies in this field.
期刊介绍:
Energy Conversion and Management: X is the open access extension of the reputable journal Energy Conversion and Management, serving as a platform for interdisciplinary research on a wide array of critical energy subjects. The journal is dedicated to publishing original contributions and in-depth technical review articles that present groundbreaking research on topics spanning energy generation, utilization, conversion, storage, transmission, conservation, management, and sustainability.
The scope of Energy Conversion and Management: X encompasses various forms of energy, including mechanical, thermal, nuclear, chemical, electromagnetic, magnetic, and electric energy. It addresses all known energy resources, highlighting both conventional sources like fossil fuels and nuclear power, as well as renewable resources such as solar, biomass, hydro, wind, geothermal, and ocean energy.