{"title":"基于粒子群算法的FC-HEV能耗优化","authors":"Intissar Darwich, Islem Lachhab, L. Krichen","doi":"10.1109/STA50679.2020.9329345","DOIUrl":null,"url":null,"abstract":"In order to improve the accuracy and the stability of the fuel cell/ ultra capacitor vehicle, an intelligent control is proposed in this paper. The method's principles are based on PSO approach to control off and on line PI regulators parameters of DC link voltage and vehicle speed. Both methods are compared to prove their effect in fuel consumption optimization. According to the New European Driving Cycle (NEDC) applied to mathematical FC-HEV model, simulation results show that on line self-regulated PI controller based on error optimized by PSO is more effective in terms of stabilization in DC link voltage and vehicle speed than off line method. Last, minimizing on line the error of the setting value and the actual value had traduced an improvement of 50% in hydrogen consumption.","PeriodicalId":158545,"journal":{"name":"2020 20th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimized Energy Consumption for FC-HEV Based on PSO Algorithm\",\"authors\":\"Intissar Darwich, Islem Lachhab, L. Krichen\",\"doi\":\"10.1109/STA50679.2020.9329345\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to improve the accuracy and the stability of the fuel cell/ ultra capacitor vehicle, an intelligent control is proposed in this paper. The method's principles are based on PSO approach to control off and on line PI regulators parameters of DC link voltage and vehicle speed. Both methods are compared to prove their effect in fuel consumption optimization. According to the New European Driving Cycle (NEDC) applied to mathematical FC-HEV model, simulation results show that on line self-regulated PI controller based on error optimized by PSO is more effective in terms of stabilization in DC link voltage and vehicle speed than off line method. Last, minimizing on line the error of the setting value and the actual value had traduced an improvement of 50% in hydrogen consumption.\",\"PeriodicalId\":158545,\"journal\":{\"name\":\"2020 20th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 20th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/STA50679.2020.9329345\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 20th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/STA50679.2020.9329345","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimized Energy Consumption for FC-HEV Based on PSO Algorithm
In order to improve the accuracy and the stability of the fuel cell/ ultra capacitor vehicle, an intelligent control is proposed in this paper. The method's principles are based on PSO approach to control off and on line PI regulators parameters of DC link voltage and vehicle speed. Both methods are compared to prove their effect in fuel consumption optimization. According to the New European Driving Cycle (NEDC) applied to mathematical FC-HEV model, simulation results show that on line self-regulated PI controller based on error optimized by PSO is more effective in terms of stabilization in DC link voltage and vehicle speed than off line method. Last, minimizing on line the error of the setting value and the actual value had traduced an improvement of 50% in hydrogen consumption.