{"title":"基于行驶参数的电动汽车电池电流预测","authors":"M. Rajalingam, M. Karthikeyan, V. Diwakar","doi":"10.1109/ITEC-INDIA.2017.8333882","DOIUrl":null,"url":null,"abstract":"Electric vehicles are increasing their market share from year to year due to increasing concerns over global warming, to seek freedom from oil based transportation. Considering Electric Vehicles (EVs) as an alternative for Internal Combustion Engines, it is essential to characterize electric vehicles in terms of real world usage and to overcome the range anxiety associated with electric vehicles. In this point of view, an attempt has been made to analyze the real world drive pattern to predict the battery current with multiple linear regression model.","PeriodicalId":312418,"journal":{"name":"2017 IEEE Transportation Electrification Conference (ITEC-India)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Electric vehicle battery current prediction based on driving parameters\",\"authors\":\"M. Rajalingam, M. Karthikeyan, V. Diwakar\",\"doi\":\"10.1109/ITEC-INDIA.2017.8333882\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Electric vehicles are increasing their market share from year to year due to increasing concerns over global warming, to seek freedom from oil based transportation. Considering Electric Vehicles (EVs) as an alternative for Internal Combustion Engines, it is essential to characterize electric vehicles in terms of real world usage and to overcome the range anxiety associated with electric vehicles. In this point of view, an attempt has been made to analyze the real world drive pattern to predict the battery current with multiple linear regression model.\",\"PeriodicalId\":312418,\"journal\":{\"name\":\"2017 IEEE Transportation Electrification Conference (ITEC-India)\",\"volume\":\"40 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE Transportation Electrification Conference (ITEC-India)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITEC-INDIA.2017.8333882\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Transportation Electrification Conference (ITEC-India)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITEC-INDIA.2017.8333882","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Electric vehicle battery current prediction based on driving parameters
Electric vehicles are increasing their market share from year to year due to increasing concerns over global warming, to seek freedom from oil based transportation. Considering Electric Vehicles (EVs) as an alternative for Internal Combustion Engines, it is essential to characterize electric vehicles in terms of real world usage and to overcome the range anxiety associated with electric vehicles. In this point of view, an attempt has been made to analyze the real world drive pattern to predict the battery current with multiple linear regression model.
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