V. Vodovozov, A. Aksjonov, Vincenzo Ricciardi, Z. Raud
{"title":"Fuzzy Control of Energy Recovery in Electric Vehicles with Hybrid Energy Storage","authors":"V. Vodovozov, A. Aksjonov, Vincenzo Ricciardi, Z. Raud","doi":"10.1109/ICCEP.2019.8890103","DOIUrl":null,"url":null,"abstract":"The paper is dedicated to maximal energy recovery in braking electric vehicles on different roads, from dry to icy, with accurate accounting the hybrid energy storage restrictions. A novel fuzzy antilock braking system is designed for torque adjustment within the consolidated electric and friction brakes. Guidelines are provided regarding the system topology and torque allocation among electric drive and hydraulic systems. Different tools were applied in the research: IPG CarMaker integrated with Matlab/Simulink for control simulation, eDrive for electromechanical process analysis, LabVIEW for fuzzy logic control management, and hardware-in-the-loop electro-hydraulic imitator integrated with dSpace software for experimentation.","PeriodicalId":277718,"journal":{"name":"2019 International Conference on Clean Electrical Power (ICCEP)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Clean Electrical Power (ICCEP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCEP.2019.8890103","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The paper is dedicated to maximal energy recovery in braking electric vehicles on different roads, from dry to icy, with accurate accounting the hybrid energy storage restrictions. A novel fuzzy antilock braking system is designed for torque adjustment within the consolidated electric and friction brakes. Guidelines are provided regarding the system topology and torque allocation among electric drive and hydraulic systems. Different tools were applied in the research: IPG CarMaker integrated with Matlab/Simulink for control simulation, eDrive for electromechanical process analysis, LabVIEW for fuzzy logic control management, and hardware-in-the-loop electro-hydraulic imitator integrated with dSpace software for experimentation.