{"title":"Research on Acceleration Curve Optimization of Electric Vehicle based on Energy Consumption","authors":"Qin Liu, Lifu Li","doi":"10.1145/3208854.3208890","DOIUrl":null,"url":null,"abstract":"Aiming at the problem that the energy consumption of electric vehicle (EV) was quite different under different acceleration curves, using a typical EV as the research object, and the difference of EV energy consumption between acceleration curves with a single acceleration value and multiple acceleration values was studied by mathematical induction. On this basis, this study established acceleration curve optimization model based on acceleration characteristic parameters, and proposed a genetic optimization method for EV acceleration curves to minimize energy consumption per kilometer. The EV acceleration curve was optimized under the constraint of minimizing energy consumption and driving comfort. The optimal acceleration curve with the lowest energy consumption per kilometer was obtained, and its acceleration characteristic parameter was. To validate the reliability of optimization result, the EV test in different acceleration curves was carried out. The results showed that, the optimized acceleration curve with multiple acceleration values was more effective in minimizing EV energy consumption per kilometer than that of a single acceleration value, and for the same duration, the optimized acceleration curve reduced energy consumption per kilometer by up to 2.23%.","PeriodicalId":365707,"journal":{"name":"IEEA '18","volume":"163 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEA '18","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3208854.3208890","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Aiming at the problem that the energy consumption of electric vehicle (EV) was quite different under different acceleration curves, using a typical EV as the research object, and the difference of EV energy consumption between acceleration curves with a single acceleration value and multiple acceleration values was studied by mathematical induction. On this basis, this study established acceleration curve optimization model based on acceleration characteristic parameters, and proposed a genetic optimization method for EV acceleration curves to minimize energy consumption per kilometer. The EV acceleration curve was optimized under the constraint of minimizing energy consumption and driving comfort. The optimal acceleration curve with the lowest energy consumption per kilometer was obtained, and its acceleration characteristic parameter was. To validate the reliability of optimization result, the EV test in different acceleration curves was carried out. The results showed that, the optimized acceleration curve with multiple acceleration values was more effective in minimizing EV energy consumption per kilometer than that of a single acceleration value, and for the same duration, the optimized acceleration curve reduced energy consumption per kilometer by up to 2.23%.