{"title":"Electric vehicle self-adaptive energy-saving cooling system design based on fuzzy control methods of fan and pump electromotors","authors":"Qingshan Wang, D. Liang, Junyi Wang","doi":"10.1109/EVER.2015.7113013","DOIUrl":null,"url":null,"abstract":"Replacing the conventional cars with electric vehicles is generally considered a promising solution for the up-to-date energy shortage and atmospheric pollution problems. Loss is generated all the time in the traveling process of electric vehicles and it is eventually transformed to heat dissipating in ambient environment. Thermal management is a critical part in electric vehicle research to timely take away the heat, ensuring the system work properly. A self-adaptive cooling system with cooling fan and coolant pump being controlled adopting fuzzy law is proposed in this paper. The structure and parameters of the fuzzy controller are designed according to the actual cooling system working conditions. Simulation model is constructed in Matlab/Simulink environment based on the topology and control strategy studied above. Experimental prototype, including two permanent magnet synchronous motors (PMSM), power converters, control box, cooling fan and coolant pump are all manufactured and tested. The design scheme is verified by the testing results.","PeriodicalId":169529,"journal":{"name":"2015 Tenth International Conference on Ecological Vehicles and Renewable Energies (EVER)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 Tenth International Conference on Ecological Vehicles and Renewable Energies (EVER)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EVER.2015.7113013","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
Replacing the conventional cars with electric vehicles is generally considered a promising solution for the up-to-date energy shortage and atmospheric pollution problems. Loss is generated all the time in the traveling process of electric vehicles and it is eventually transformed to heat dissipating in ambient environment. Thermal management is a critical part in electric vehicle research to timely take away the heat, ensuring the system work properly. A self-adaptive cooling system with cooling fan and coolant pump being controlled adopting fuzzy law is proposed in this paper. The structure and parameters of the fuzzy controller are designed according to the actual cooling system working conditions. Simulation model is constructed in Matlab/Simulink environment based on the topology and control strategy studied above. Experimental prototype, including two permanent magnet synchronous motors (PMSM), power converters, control box, cooling fan and coolant pump are all manufactured and tested. The design scheme is verified by the testing results.