{"title":"基于粒子群优化的多级恒流充电方法的最优充电方式研究","authors":"Yuan-Kai Liu, Kun-Che Ho, Yi-Hua Liu, S. Wang","doi":"10.1109/IIAI-AAI.2018.00115","DOIUrl":null,"url":null,"abstract":"In this study, particle swarm optimization method is adopted to search the optimal charging pattern of the multi-stage constant current charging method. The proposed uses only the equivalent model of the lithium-ion battery; hence, time-consuming experiments can be avoided. The presented study takes both the charging time and temperature rise into account. Comparing with CC-CV method, the average temperature rise can be improved by 42.1 % and the charging time can be shortened by 18.4 %.","PeriodicalId":309975,"journal":{"name":"2018 7th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Search for the Optimal Charging Pattern of Multi-stage Constant Current Charging Method Using Particle Swarm Optimization\",\"authors\":\"Yuan-Kai Liu, Kun-Che Ho, Yi-Hua Liu, S. Wang\",\"doi\":\"10.1109/IIAI-AAI.2018.00115\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this study, particle swarm optimization method is adopted to search the optimal charging pattern of the multi-stage constant current charging method. The proposed uses only the equivalent model of the lithium-ion battery; hence, time-consuming experiments can be avoided. The presented study takes both the charging time and temperature rise into account. Comparing with CC-CV method, the average temperature rise can be improved by 42.1 % and the charging time can be shortened by 18.4 %.\",\"PeriodicalId\":309975,\"journal\":{\"name\":\"2018 7th International Congress on Advanced Applied Informatics (IIAI-AAI)\",\"volume\":\"88 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 7th International Congress on Advanced Applied Informatics (IIAI-AAI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IIAI-AAI.2018.00115\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 7th International Congress on Advanced Applied Informatics (IIAI-AAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IIAI-AAI.2018.00115","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Search for the Optimal Charging Pattern of Multi-stage Constant Current Charging Method Using Particle Swarm Optimization
In this study, particle swarm optimization method is adopted to search the optimal charging pattern of the multi-stage constant current charging method. The proposed uses only the equivalent model of the lithium-ion battery; hence, time-consuming experiments can be avoided. The presented study takes both the charging time and temperature rise into account. Comparing with CC-CV method, the average temperature rise can be improved by 42.1 % and the charging time can be shortened by 18.4 %.