{"title":"基于锂离子电池模型的电动汽车续航里程实时估计","authors":"S. Barcellona, D. D. Simone, S. Grillo","doi":"10.1109/ICCEP.2019.8890095","DOIUrl":null,"url":null,"abstract":"Electric vehicles range is limited by the available storage systems and it is influenced by many external factors such as ambient temperature, vehicle auxiliary systems and driving patterns. An accurate and reliable estimation of the remaining energy and, as a consequence, of the available travelling distance is one of the key factors that allows drivers to consciously take advantage of their electric vehicle (EV).The present paper describes the application of a previously-defined model for EVs batteries to estimate on line the available range. The effectiveness of the proposed methodology, which has been designed in order to use a reduced set of measurements, has been validated on a real Lithium-ion cell simulating three different EVs under two different temperatures and with two standard test driving cycles.","PeriodicalId":277718,"journal":{"name":"2019 International Conference on Clean Electrical Power (ICCEP)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Real-time Electric Vehicle Range Estimation Based on a Lithium-Ion Battery Model\",\"authors\":\"S. Barcellona, D. D. Simone, S. Grillo\",\"doi\":\"10.1109/ICCEP.2019.8890095\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Electric vehicles range is limited by the available storage systems and it is influenced by many external factors such as ambient temperature, vehicle auxiliary systems and driving patterns. An accurate and reliable estimation of the remaining energy and, as a consequence, of the available travelling distance is one of the key factors that allows drivers to consciously take advantage of their electric vehicle (EV).The present paper describes the application of a previously-defined model for EVs batteries to estimate on line the available range. The effectiveness of the proposed methodology, which has been designed in order to use a reduced set of measurements, has been validated on a real Lithium-ion cell simulating three different EVs under two different temperatures and with two standard test driving cycles.\",\"PeriodicalId\":277718,\"journal\":{\"name\":\"2019 International Conference on Clean Electrical Power (ICCEP)\",\"volume\":\"66 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Clean Electrical Power (ICCEP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCEP.2019.8890095\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Clean Electrical Power (ICCEP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCEP.2019.8890095","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Real-time Electric Vehicle Range Estimation Based on a Lithium-Ion Battery Model
Electric vehicles range is limited by the available storage systems and it is influenced by many external factors such as ambient temperature, vehicle auxiliary systems and driving patterns. An accurate and reliable estimation of the remaining energy and, as a consequence, of the available travelling distance is one of the key factors that allows drivers to consciously take advantage of their electric vehicle (EV).The present paper describes the application of a previously-defined model for EVs batteries to estimate on line the available range. The effectiveness of the proposed methodology, which has been designed in order to use a reduced set of measurements, has been validated on a real Lithium-ion cell simulating three different EVs under two different temperatures and with two standard test driving cycles.