{"title":"大功率锂离子电池SOC模型","authors":"N. Hajia, B. Venkatesh","doi":"10.1109/EPEC.2015.7379936","DOIUrl":null,"url":null,"abstract":"Next generation Smart Grids are expected to integrate energy storage systems to improve performance, operational efficiency, reliability, increased asset utilization, renewable integration, etc. Energy storage systems using Lithium-ion batteries show a promise for power system applications due to characteristics such as high energy density, efficiency, number of cycles, depth of discharge, etc. In order to best integrate modern energy storage systems, it is imperative that reliable and adequate technical models are developed, validated and incorporated with power system analysis and optimization methods. A State of Charge (SOC) model of Lithium-Ion batteries is presented in this paper and a test protocol was developed to determine the model's parameter. In addition, a general procedure to estimate this SOC model of Li-Ion batteries using laboratory tests is presented. Thereafter, a chosen Li-Ion battery is tested for various conditions and the corresponding SOC model is to simulate those test conditions. A comparison between test and simulation results shows the accuracy of the proposed method. The model is temperature sensitive and practical.","PeriodicalId":231255,"journal":{"name":"2015 IEEE Electrical Power and Energy Conference (EPEC)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"SOC model of high power Lithium-Ion battery\",\"authors\":\"N. Hajia, B. Venkatesh\",\"doi\":\"10.1109/EPEC.2015.7379936\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Next generation Smart Grids are expected to integrate energy storage systems to improve performance, operational efficiency, reliability, increased asset utilization, renewable integration, etc. Energy storage systems using Lithium-ion batteries show a promise for power system applications due to characteristics such as high energy density, efficiency, number of cycles, depth of discharge, etc. In order to best integrate modern energy storage systems, it is imperative that reliable and adequate technical models are developed, validated and incorporated with power system analysis and optimization methods. A State of Charge (SOC) model of Lithium-Ion batteries is presented in this paper and a test protocol was developed to determine the model's parameter. In addition, a general procedure to estimate this SOC model of Li-Ion batteries using laboratory tests is presented. Thereafter, a chosen Li-Ion battery is tested for various conditions and the corresponding SOC model is to simulate those test conditions. A comparison between test and simulation results shows the accuracy of the proposed method. The model is temperature sensitive and practical.\",\"PeriodicalId\":231255,\"journal\":{\"name\":\"2015 IEEE Electrical Power and Energy Conference (EPEC)\",\"volume\":\"60 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE Electrical Power and Energy Conference (EPEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EPEC.2015.7379936\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE Electrical Power and Energy Conference (EPEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EPEC.2015.7379936","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Next generation Smart Grids are expected to integrate energy storage systems to improve performance, operational efficiency, reliability, increased asset utilization, renewable integration, etc. Energy storage systems using Lithium-ion batteries show a promise for power system applications due to characteristics such as high energy density, efficiency, number of cycles, depth of discharge, etc. In order to best integrate modern energy storage systems, it is imperative that reliable and adequate technical models are developed, validated and incorporated with power system analysis and optimization methods. A State of Charge (SOC) model of Lithium-Ion batteries is presented in this paper and a test protocol was developed to determine the model's parameter. In addition, a general procedure to estimate this SOC model of Li-Ion batteries using laboratory tests is presented. Thereafter, a chosen Li-Ion battery is tested for various conditions and the corresponding SOC model is to simulate those test conditions. A comparison between test and simulation results shows the accuracy of the proposed method. The model is temperature sensitive and practical.