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Research Article

Optimum Design of Cooling Structure for In-Wheel Motor Drive System

ORCID Icon, , , &
Received 01 May 2019, Accepted 24 Mar 2020, Published online: 05 Jun 2024
 

Abstract

The high-efficient cooling structure is one of the key basic problems in the design of the highly integrated in-wheel motor (IWM) drive system. A 15 kW IWM drive system with the spiral cooling structure is taken as the research object in this article. First, the thermal characteristics under different conditions are analyzed based on the modeling and the heat source determination of the IWM drive system. Second, the highest temperature of insulation and permanent magnet and temperature difference of insulation are taken as optimization objectives. The inlet flow rate, the inlet and outlet diameters, the channel numbers, the channel height, and the channel ribs thickness of cooling structure are taken as optimization parameters to optimize based on the designed experiments, the multivariate linear regression equation and PSO method. Finally, the optimization results are verified by comparing the temperature field before and after optimization. The results show that the optimized structure can achieve better effect. The highest temperature of insulation, the highest temperature of permanent magnet and the temperature difference of insulation of IWM decreased by 9.27%, 9.52%, and 20.93%, respectively. This research work can provide some ideas and methods for the optimization design of cooling structure of IWM drive system.

Additional information

Funding

This research was supported by the National Natural Science Foundation of China (Grant Nos. 51775320 and 51605265).

Notes on contributors

Di Tan

Di Tan received her Ph.D. in 2013 in South China University of Technology. She is currently an associate professor in Shandong University of Technology, Zibo, China. Her research interests include automotive dynamics and control strategy of electric vehicles.

Fan Song

Fan Song received her master’s degree in Shandong University of Technology in 2019. Her research interests include vehicle system dynamics and multi-physical field coupling.

Guangcheng Ge

Guangcheng Ge received his master’s degree in Shandong University of Technology in 2021. His research interests include vehicle system dynamics and multi-physical field coupling.

Kun Yang

Kun Yang is currently a professor in School of Transportation and Vehicle Engineering, at Shandong University of Technology, Zibo, China. He received his Ph.D. degree in Jilin University. His research is focused on electric vehicle and drive technology.

Chao Ma

Chao Ma received the Ph.D degree in mechanical engineering from Sungkyunkwan University at Suwon, Korea, in 2013. Since 2013, he is working as a teacher at Shandong University of Technology, China. His main research interests focus on the key technologies of new energy vehicles.

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