{"title":"电动汽车电驱动油水冷却系统能耗优化控制策略研究","authors":"Xuanyao Wang, Youwang Feng","doi":"10.1007/s12239-024-00047-1","DOIUrl":null,"url":null,"abstract":"<p>The electric drive thermal management system of electric vehicles is an important part of electric vehicles. To improve the cooling effect of the electric drive system and reduce energy consumption, a cooling scheme combining the spray oil cooling of the motor end winding with the cooling water jacket of the motor shell and the water cooling in the motor shaft is proposed. Based on the electric drive cooling system framework of electric vehicles, a fuzzy logic control strategy is established. The flow rate and heat dissipation in the system are optimized by controlling the rotation speed of the oil/water cooling pump and the radiator fan, which further reduces the energy consumption of the system. In addition, through the co-simulation of AMESim and Simulink, under the same simulation time, the simulation comparison and analysis are carried out under SFTP-US06 and WLTC conditions, respectively. The power loss of fuzzy logic control is 9% and 28% lower than that of switching control, and 21% and 25% lower than that of PID control, respectively.</p>","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":null,"pages":null},"PeriodicalIF":16.4000,"publicationDate":"2024-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on Energy Consumption Optimization Control Strategy of Electric Vehicle Electric Drive Oil/Water Cooling System\",\"authors\":\"Xuanyao Wang, Youwang Feng\",\"doi\":\"10.1007/s12239-024-00047-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The electric drive thermal management system of electric vehicles is an important part of electric vehicles. To improve the cooling effect of the electric drive system and reduce energy consumption, a cooling scheme combining the spray oil cooling of the motor end winding with the cooling water jacket of the motor shell and the water cooling in the motor shaft is proposed. Based on the electric drive cooling system framework of electric vehicles, a fuzzy logic control strategy is established. The flow rate and heat dissipation in the system are optimized by controlling the rotation speed of the oil/water cooling pump and the radiator fan, which further reduces the energy consumption of the system. In addition, through the co-simulation of AMESim and Simulink, under the same simulation time, the simulation comparison and analysis are carried out under SFTP-US06 and WLTC conditions, respectively. The power loss of fuzzy logic control is 9% and 28% lower than that of switching control, and 21% and 25% lower than that of PID control, respectively.</p>\",\"PeriodicalId\":1,\"journal\":{\"name\":\"Accounts of Chemical Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":16.4000,\"publicationDate\":\"2024-04-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Accounts of Chemical Research\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1007/s12239-024-00047-1\",\"RegionNum\":1,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounts of Chemical Research","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s12239-024-00047-1","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
Research on Energy Consumption Optimization Control Strategy of Electric Vehicle Electric Drive Oil/Water Cooling System
The electric drive thermal management system of electric vehicles is an important part of electric vehicles. To improve the cooling effect of the electric drive system and reduce energy consumption, a cooling scheme combining the spray oil cooling of the motor end winding with the cooling water jacket of the motor shell and the water cooling in the motor shaft is proposed. Based on the electric drive cooling system framework of electric vehicles, a fuzzy logic control strategy is established. The flow rate and heat dissipation in the system are optimized by controlling the rotation speed of the oil/water cooling pump and the radiator fan, which further reduces the energy consumption of the system. In addition, through the co-simulation of AMESim and Simulink, under the same simulation time, the simulation comparison and analysis are carried out under SFTP-US06 and WLTC conditions, respectively. The power loss of fuzzy logic control is 9% and 28% lower than that of switching control, and 21% and 25% lower than that of PID control, respectively.
期刊介绍：
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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