{"title":"State of Power Estimation for Lithium-ion Battery Based on Electrochemical Model and Multiple Restrictions","authors":"Long Yang, Hanqing Yu, Junfu Li","doi":"10.1109/PHM2022-London52454.2022.00050","DOIUrl":null,"url":null,"abstract":"With the widespread application of lithium-ion batteries, state of power (SOP) estimation has become a challenge and a hot research issue in many fields. In order to solve the problem of complex steps and low accuracy of SOP estimation, this paper proposes a novel SOP estimation method for lithium-ion batteries based on electrochemical model and multiple restrictions, and the validity of the model and the accuracy of the method are verified by experiments on varied conditions. The mean relative error of SOP estimation is lower than 2%, which proves the accuracy and practicability of SOP estimation based on the developed method.","PeriodicalId":269605,"journal":{"name":"2022 Prognostics and Health Management Conference (PHM-2022 London)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Prognostics and Health Management Conference (PHM-2022 London)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PHM2022-London52454.2022.00050","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
With the widespread application of lithium-ion batteries, state of power (SOP) estimation has become a challenge and a hot research issue in many fields. In order to solve the problem of complex steps and low accuracy of SOP estimation, this paper proposes a novel SOP estimation method for lithium-ion batteries based on electrochemical model and multiple restrictions, and the validity of the model and the accuracy of the method are verified by experiments on varied conditions. The mean relative error of SOP estimation is lower than 2%, which proves the accuracy and practicability of SOP estimation based on the developed method.