Title: Energy consumption optimisation of a battery thermal management system for electric vehicles considering different cooling modes
Authors: Yunfeng Hu; Nuo Deng; Xun Gong; Yao Sun; Hong Chen
Addresses: State Key Laboratory of Automotive Simulation and Control, College of Communication Engineering, Jilin University, Changchun, 130000, China ' State Key Laboratory of Automotive Simulation and Control, College of Communication Engineering, Jilin University, Changchun, 130000, China ' School of Artificial Intelligence, Jilin University, Changchun, 130000, China ' State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun, 130000, China ' College of Electronics and Information Engineering, Tongji University, Shanghai, 200000, China
Abstract: For electric vehicles, the energy consumption of the battery thermal management system is one of the key factors affecting driving mileage. To reduce the consumption in the summer, an energy optimisation method for battery thermal management systems, in which the liquid-cooling mode and air cooling mode are directly considered actuators, is presented in this paper. First, the influence of the vehicle speed on the air-cooling efficiency is considered in the modelling process of the battery thermal management system. Second, the weighted sum of the energy consumption and temperature tracking error of thermal management system is considered as the optimisation objective function. Third, the high dimensional dynamic programming (DP) algorithm is used to solve the nonlinear optimisation problem to obtain the optimal control trajectory. Finally, the effectiveness is verified under different driving conditions.
Keywords: DP; electric vehicle; battery thermal management system; energy optimisation; cooling mode; control.
International Journal of Vehicle Design, 2023 Vol.92 No.2/3/4, pp.128 - 148
Received: 04 Apr 2022
Received in revised form: 23 Sep 2022
Accepted: 16 Nov 2022
Published online: 09 Nov 2023 *