Cooperative Optimization and Fault-tolerant Control Method of Multi-disk Permanent Magnet Synchronous Motor for Electric Vehicles

被引:0
作者
Zhao J. [1 ]
Hua M. [1 ]
Liu T. [1 ]
机构
[1] School of Mechatronic Engineering and Automation, Shanghai University, Baoshan District, Shanghai
来源
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2019年 / 39卷 / 02期
关键词
Efficiency map; Efficiency optimization control; Electric vehicle; Multi-disc permanent magnet synchronous motor; Torque cooperative control;
D O I
10.13334/j.0258-8013.pcsee.181716
中图分类号
学科分类号
摘要
In order to improve the cruising range, operation characteristics and safety reliability of electric vehicles, this paper proposed a cooperative optimization and fault-tolerant control method for axial flux permanent magnet synchronous motor (AFPMSM) for electric vehicles. Firstly, the mathematical model of AFPMSM was established. The efficiency optimization control strategy of AFPMSM based on efficiency map was proposed and studied, and the fault-tolerant control method of AFPMSM was analyzed. Secondly, based on efficiency optimization, a torque cooperative control strategy was proposed, and fuzzy control was used to optimize torque ripple. Finally, the simulation experiment and the vehicle test were carried out for the proposed control strategy. The results verify that the modular AFPMSM cooperative optimization drive system has a wide efficiency range, broadens the system efficiency platform, increases the cruising range and improves the mileage and system's motion characteristics. Multi-disk motor redundancy and fault tolerance improve safety and reliability, which have important theoretical research significance and practical application value. © 2019 Chin. Soc. for Elec. Eng.
引用
收藏
页码:386 / 394
页数:8
相关论文
共 15 条
  • [1] Han Y., An H., Current status and development trend of automotive permanent magnet drive motors, Shanghai Auto, 6, pp. 38-40, (2009)
  • [2] Zhu Y., Wang S., Wu Z., Et al., Research on high-speed performance of vehicle permanent magnet synchronous motor deviation decoupling control system, Automotive Engineering, 34, 8, pp. 757-759, (2012)
  • [3] Liu X., Li K., Sun J., Et al., Permanent magnet synchronous motor control based on generalized predictive control and extended state observer, Control Theory & Applications, 32, 12, pp. 15-16, (2015)
  • [4] Qi C., Song Z., Permanent magnet synchronous motor control based on particle swarm optimization fuzzy controller, Proceedings of the CSEE, 26, 17, pp. 158-162, (2006)
  • [5] Liu Y., Li R., Liang H., Direct torque control method of permanent magnet synchronous motor based on least squares support vector machine optimized active disturbance rejection controller, Proceedings of the CSEE, 34, 27, pp. 55-58, (2014)
  • [6] Cheng S., Luo D., Huang S., Et al., Control strategy for permanent magnet synchronous motor with contra- rotating rotors under unbalanced loads condition, IET Electric Power Applications, 9, 1, pp. 71-79, (2015)
  • [7] Cvetkovski G.V., Petkovska L.B., Weight reduction of permanent magnet disc motor for electric vehicle using genetic algorithm optimal design procedure, IEEE EUROCON 2009, (2009)
  • [8] Lu D., Ouyang M., Li J., Et al., Economic operating characteristics of permanent magnet synchronous motor in electric vehicle, IEEE Vehicle Power and Propulsion Conference, pp. 110-114, (2012)
  • [9] Williamson S., Lukic M., Emadi A., Comprehensive drive train efficiency analysis of hybrid electric and fuel cell vehicles based on motor-controller efficiency modeling, IEEE Transactions on Power Electronics, 21, 3, pp. 730-740, (2006)
  • [10] Li S., Gu H., Fuzzy adaptive internal model control schemes for PMSM speed-regulation system, IEEE Transactions on Industrial Informatics, 8, 4, pp. 767-779, (2012)