{"title":"Cycle life prediction method of lithium ion batteries for new energy electric vehicles","authors":"Runze Gao, Xiao Li, Haitao Yu","doi":"10.1109/ICSCDE54196.2021.00034","DOIUrl":null,"url":null,"abstract":"In order to solve the problems of high battery capacity detection error and low life prediction accuracy existing in traditional lithium-ion battery cycle life prediction methods, based on the battery capacity detection results, the cycle life prediction of lithium-ion batteries for new energy electric vehicles was carried out. Firstly, the principle of charge and discharge of lithium-ion battery is analyzed. Based on this, the idea of differential equation is introduced to detect the capacity of lithium-ion battery in real time. Secondly, according to the battery capacity test results, the exponential function of lithium-ion battery cycle life decline is constructed, and the calculation result of life influence factor is obtained. Finally, the lithium-ion battery cycle life prediction model is constructed, and the final prediction results are obtained. The experimental results show that the proposed method can always keep a low battery capacity detection error in multiple charging and discharging cycles, and the battery cycle life prediction accuracy can reach 97%.","PeriodicalId":208108,"journal":{"name":"2021 International Conference of Social Computing and Digital Economy (ICSCDE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference of Social Computing and Digital Economy (ICSCDE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSCDE54196.2021.00034","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
In order to solve the problems of high battery capacity detection error and low life prediction accuracy existing in traditional lithium-ion battery cycle life prediction methods, based on the battery capacity detection results, the cycle life prediction of lithium-ion batteries for new energy electric vehicles was carried out. Firstly, the principle of charge and discharge of lithium-ion battery is analyzed. Based on this, the idea of differential equation is introduced to detect the capacity of lithium-ion battery in real time. Secondly, according to the battery capacity test results, the exponential function of lithium-ion battery cycle life decline is constructed, and the calculation result of life influence factor is obtained. Finally, the lithium-ion battery cycle life prediction model is constructed, and the final prediction results are obtained. The experimental results show that the proposed method can always keep a low battery capacity detection error in multiple charging and discharging cycles, and the battery cycle life prediction accuracy can reach 97%.