{"title":"插电式混合动力汽车距离估计算法控制策略","authors":"A. Ravey, Rui Wang, S. Lukic, A. Miraoui","doi":"10.1109/ITEC.2013.6573504","DOIUrl":null,"url":null,"abstract":"This paper presents a destination prediction algorithm based on a markov model method to build a probability matrix of possible destination GPS coordinates. This matrix is then used in a real time algorithm to predict the distance remaining when the vehicle is running. Simulation based on real GPS data shows the precision of the algorithm and its possible implementation in the control strategy for a PHEV.","PeriodicalId":118616,"journal":{"name":"2013 IEEE Transportation Electrification Conference and Expo (ITEC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Distance estimation algorithm for plug-in hybrid electric vehicle control strategy\",\"authors\":\"A. Ravey, Rui Wang, S. Lukic, A. Miraoui\",\"doi\":\"10.1109/ITEC.2013.6573504\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a destination prediction algorithm based on a markov model method to build a probability matrix of possible destination GPS coordinates. This matrix is then used in a real time algorithm to predict the distance remaining when the vehicle is running. Simulation based on real GPS data shows the precision of the algorithm and its possible implementation in the control strategy for a PHEV.\",\"PeriodicalId\":118616,\"journal\":{\"name\":\"2013 IEEE Transportation Electrification Conference and Expo (ITEC)\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-06-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE Transportation Electrification Conference and Expo (ITEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITEC.2013.6573504\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE Transportation Electrification Conference and Expo (ITEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITEC.2013.6573504","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Distance estimation algorithm for plug-in hybrid electric vehicle control strategy
This paper presents a destination prediction algorithm based on a markov model method to build a probability matrix of possible destination GPS coordinates. This matrix is then used in a real time algorithm to predict the distance remaining when the vehicle is running. Simulation based on real GPS data shows the precision of the algorithm and its possible implementation in the control strategy for a PHEV.