{"title":"A Simple Fuzzy Logic Based Power Control for a Series Hybrid Electric Vehicle","authors":"Z. Johanyák","doi":"10.1109/EMS.2015.40","DOIUrl":null,"url":null,"abstract":"Hybrid electric vehicles became popular owing to their capability to combine the advantages of electric propulsion and legacy internal combustion engines. The main objective of the research work reported in this paper was to find a fuzzy logic based control solution for the power management of a specific series hybrid electric vehicle. The developed controller was modelled in Simulink and it was evaluated through simulation runs for different initial battery energy levels and different usage profiles. Basically we tried two different approaches. In the first case the aim was to keep the state of charge (SOC) of the battery at a constant level, while in the second case the SOC had to follow a prescribed function of time. The developed fuzzy system ensured good results in both cases.","PeriodicalId":253479,"journal":{"name":"2015 IEEE European Modelling Symposium (EMS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE European Modelling Symposium (EMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EMS.2015.40","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
Hybrid electric vehicles became popular owing to their capability to combine the advantages of electric propulsion and legacy internal combustion engines. The main objective of the research work reported in this paper was to find a fuzzy logic based control solution for the power management of a specific series hybrid electric vehicle. The developed controller was modelled in Simulink and it was evaluated through simulation runs for different initial battery energy levels and different usage profiles. Basically we tried two different approaches. In the first case the aim was to keep the state of charge (SOC) of the battery at a constant level, while in the second case the SOC had to follow a prescribed function of time. The developed fuzzy system ensured good results in both cases.