{"title":"Intelligent Control of a Two-phase Interleaved Boost Converter-interfaced Fuel Cell Electric Vehicle","authors":"Ashish Laddha, Satyanarayana Neeli","doi":"10.1109/ICICCSP53532.2022.9862469","DOIUrl":null,"url":null,"abstract":"This article discusses the smart implementation of two-phase interleaved boost converter (TP-IBC) for fuel cell-powered electric vehicle (FCEV). The varying nature of the fuel cell (FC) output voltage and the load cause the common DC bus voltage to deviate from its referenced value. Thus, this manuscript proposes the fuzzy logic-led PID control scheme for the regulation of the common DC bus voltage. Employing of the fuzzy logic adds a factor of intelligence to the PID controller. This factor enables gains of the PID controller to adjust themselves according to the changing operational conditions.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICCSP53532.2022.9862469","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract
This article discusses the smart implementation of two-phase interleaved boost converter (TP-IBC) for fuel cell-powered electric vehicle (FCEV). The varying nature of the fuel cell (FC) output voltage and the load cause the common DC bus voltage to deviate from its referenced value. Thus, this manuscript proposes the fuzzy logic-led PID control scheme for the regulation of the common DC bus voltage. Employing of the fuzzy logic adds a factor of intelligence to the PID controller. This factor enables gains of the PID controller to adjust themselves according to the changing operational conditions.
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