{"title":"不同电池运行过程中电池平衡策略的比较研究","authors":"Linfeng Zheng, Jianguo Zhu, Guoxiu Wang","doi":"10.1109/ITEC.2016.7520204","DOIUrl":null,"url":null,"abstract":"To reduce the effect of cell inconsistencies and improve battery pack capacity, battery balancing techniques are essentially required in battery management systems (BMSs). This paper presents a comparative study of four battery balancing strategies for different battery operation processes. These balancing strategies are developed from the state-of-the-art battery balancing circuits and algorithms reported in recent literature. The performance of balancing strategies is evaluated and compared by battery pack maximum available capacity, state of charge (SOC) variances at the end of charge (EOC) and end of discharge (EOD). The comparative result is helpful for BMSs developers to employ optimal balancing strategies in actual applications.","PeriodicalId":280676,"journal":{"name":"2016 IEEE Transportation Electrification Conference and Expo (ITEC)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"A comparative study of battery balancing strategies for different battery operation processes\",\"authors\":\"Linfeng Zheng, Jianguo Zhu, Guoxiu Wang\",\"doi\":\"10.1109/ITEC.2016.7520204\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To reduce the effect of cell inconsistencies and improve battery pack capacity, battery balancing techniques are essentially required in battery management systems (BMSs). This paper presents a comparative study of four battery balancing strategies for different battery operation processes. These balancing strategies are developed from the state-of-the-art battery balancing circuits and algorithms reported in recent literature. The performance of balancing strategies is evaluated and compared by battery pack maximum available capacity, state of charge (SOC) variances at the end of charge (EOC) and end of discharge (EOD). The comparative result is helpful for BMSs developers to employ optimal balancing strategies in actual applications.\",\"PeriodicalId\":280676,\"journal\":{\"name\":\"2016 IEEE Transportation Electrification Conference and Expo (ITEC)\",\"volume\":\"85 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE Transportation Electrification Conference and Expo (ITEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITEC.2016.7520204\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Transportation Electrification Conference and Expo (ITEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITEC.2016.7520204","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A comparative study of battery balancing strategies for different battery operation processes
To reduce the effect of cell inconsistencies and improve battery pack capacity, battery balancing techniques are essentially required in battery management systems (BMSs). This paper presents a comparative study of four battery balancing strategies for different battery operation processes. These balancing strategies are developed from the state-of-the-art battery balancing circuits and algorithms reported in recent literature. The performance of balancing strategies is evaluated and compared by battery pack maximum available capacity, state of charge (SOC) variances at the end of charge (EOC) and end of discharge (EOD). The comparative result is helpful for BMSs developers to employ optimal balancing strategies in actual applications.