https://scholars.lib.ntu.edu.tw/handle/123456789/448591
標題: | Real-time torque-distribution strategy for a pure electric vehicle with multiple traction motors by particle swarm optimization | 作者: | Yang, Y.-P. Shih, Y.-C. Chen, J.-M. YEE-PIEN YANG |
公開日期: | 2016 | 卷: | 6 | 期: | 2 | 起(迄)頁: | 76-87 | 來源出版物: | IET Electrical Systems in Transportation | 摘要: | This study proposes a real-time torque-distribution strategy for a pure electric vehicle (EV) with multi-electric propulsion system. This electric propulsion system is composed of three motors - an indirectly driven traction motor for front wheels and two in-wheel motors installed inside both rear wheels. Their torque distribution is determined by particle swarm optimisation (PSO) theory for minimising energy consumption according to the torque-speed-efficiency maps of all the traction motors. The energy consumption over the New European Driving Cycle is analysed for the EV with multiple traction motors. Simulation results by hardware-in-the-loop show that the driving efficiency of the proposed real-time torque-distribution strategy by the PSO is close to the results from the global optimisation method by dynamic programming. © 2016 The Institution of Engineering and Technology. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/448591 | DOI: | 10.1049/iet-est.2014.0050 | SDG/關鍵字: | Dynamic programming; Electric propulsion; Electric traction; Electric vehicles; Energy utilization; Global optimization; Particle swarm optimization (PSO); Propulsion; Torque; Wheels; Electric propulsion systems; Global optimisation; Hard-ware-in-the-loop; New european driving cycles; Particle swarm optimisation; Pure electric vehicles; Torque distribution; Two in-wheel motors; Traction motors |
顯示於: | 機械工程學系 |
在 IR 系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。