Current Track Circle Model Predictive Torque Control Strategy for Electric Vehicle

doi:10.3901/JME.2022.16.238

Abstract

Abstract: A new model predictive torque control(MPTC) algorithm is proposed for the interior permanent magnet synchronous motor(IPMSM). A single optimal voltage space vector(VSV) is applied with a two-level voltage source inverter in the conventional MPTC, which causes high torque and flux ripples. In the proposed scheme, the back electromotive force(EMF) is estimated from the previous stator voltage and current, and it is used to predict the stator current for the next period. Firstly, the appropriate optimal VSVs are obtained based on the current track circle without predicting all VSVs to reduce the calculated complexity. Secondly, optimize duty cycle to further reduce torque and flux ripples. Finally, the conventional MPTC and the proposed MPTC are compared in the aspects of torque, flux ripples and current harmonics by the simulation and experiment. Results prove that the proposed MPTC has obvious advantages in reducing torque flux fluctuation and current total harmonic distortion. This method is suitable for the PMSM used in electric vehicles which need to face a variety of complex road conditions.

Key words: interior permanent magnet synchronous motor, model predictive torque control, current track circle, voltage space vector, torque ripple

CLC Number:

TM341

SUN Xiaodong, XU Naixi, TIAN Xiang, WU Minkai, CHEN Long. Current Track Circle Model Predictive Torque Control Strategy for Electric Vehicle[J]. Journal of Mechanical Engineering, 2022, 58(16): 238-246.

References

[1] JIN Liqiang, TIAN Ruiyang, LIU Yue. Electric wheel vehicle drive power steering and stability coordination control[J]. Journal of Mechanical Engineering, 2018, 54(16): 160-169. 靳立强, 田瑞洋, 刘阅. 电动轮汽车驱动助力转向与稳定性协调控制[J]. 机械工程学报, 2018, 54(16): 160-169.
[2] HUANG Wanyou, CHENG Yong, CAO Hong, et al. Test and analysis of energy efficiency of pure electric vehicles[J]. Journal of Mechanical Engineering, 2012, 48(12): 88-95. 黄万友, 程勇, 曹红, 等. 纯电动汽车能量回馈效率特性测试分析[J]. 机械工程学报, 2012, 48(12): 88-95.
[3] LIU Yonggang, LI Jie, QIN Datong, et al. Parameter optimization of hybrid electric vehicle based on multi-case optimization algorithm[J]. Journal of Mechanical Engineering, 2017, 53(16): 61-69. 刘永刚, 李杰, 秦大同, 等. 基于多工况优化算法的混合电动汽车参数优化[J]. 机械工程学报, 2017, 53(16): 61-69.
[4] SUN X, SHI Z, LEI G, et al. Analysis, design and optimization of a permanent magnet synchronous motor for a campus patrol electric vehicle[J]. IEEE Transactions on Vehicular Technology, 2019, 68(11): 10535-10544.
[5] JI Yuanjin, LI Rui, REN Lihui. Factors affecting active steering control of independent wheel wheels based on hub motor and rotational speed difference feedback[J]. Journal of Mechanical Engineering, 2018, 54(8): 48-56. 季元进, 李锐, 任利惠. 基于轮毂电机和转速差反馈的独立车轮轮对主动导向控制的影响因素[J]. 机械工程学报, 2018, 54(8): 48-56.
[6] LI Hua, FANG Xiaochun, LIN Fei, et al. Singles current loop control strategy of induction traction motor in square wave mode and its parameter robustness analysis[J]. Transactions of China Electrotechnical Society, 2018, 33(9): 2034-2043. 李华, 方晓春, 林飞, 等. 异步牵引电机方波单电流闭环控制策略及其参数鲁棒性分析[J]. 电工技术学报, 2018, 33(9): 2034-2043.
[7] SUN X, HU C, LEI G, et al. State feedback control for a PM hub motor based on grey wolf optimization algorithm[J]. IEEE Transactions on Power Electronics, 2020, 35(1): 1136-1146.
[8] TAO Caixia, ZHAO Kaixuan, NIU Qing. Fuzzy super-spiral sliding mode observer for permanent magnet synchronous motor considering sliding mode buffeting[J]. Power System Protection and Control, 2019, 47(23): 11-18. 陶彩霞, 赵凯旋, 牛青. 考虑滑模抖振的永磁同步电机模糊超螺旋滑模观测器[J]. 电力系统保护与控制, 2019, 47(23): 11-18.
[9] HAN Kun, SUN Xiao, LIU Bing, et al. Dead-time on-line compensation scheme of SVPWM for permanent magnet synchronous motor drive system with vector control[J]. Proceedings of the CSEE, 2018, 38(2): 620-627. 韩坤, 孙晓, 刘秉, 等. 一种永磁同步电机矢量控制SVPWM死区效应在线补偿方法[J]. 中国电机工程学报, 2018, 38(2): 620-627.
[10] WANG Kaicheng, YANG Mingfa. Permanent magnet synchronous motor vector control based on improved sliding mode observer[J]. Electrical Engineering, 2019(10): 29-34. 王恺成, 杨明发. 基于改进型滑模观测器的永磁同步电动机矢量控制[J]. 电气技术, 2019(10): 29-34.
[11] XU Yanping, ZHANG Baocheng, ZHOU Qin. Two-vector based model predictive current control for permanent magnet synchronous motor[J]. Proceedings of the CSEE, 2017, 32(20): 222-230. 徐艳平, 张保程, 周钦. 永磁同步电机双矢量模型预测电流控制[J]. 中国电机工程学报, 2017, 32(20): 222-230.
[12] BAI Zhiyong, WANG Bo, XU Chen, et al. A novel three-vector model predictive current control for permanent magnet synchronous motor[J]. Proceedings of the CSEE, 2018, 38(Suppl. 1): 243-249. 兰志勇, 王波, 徐琛, 等. 永磁同步电机新型三矢量模型预测电流控制[J]. 中国电机工程学报, 2018, 38(增刊1): 243-249.
[13] ZANG Y, XU D, LIU J, et al. Performance improvement of model-predictive current control of permanent magnet synchronous motor drives[J]. IEEE Transactions on Industry Applications, 2017, 53(4): 3683-3695.
[14] LIN C, LIU T, YU J, et al. Model-free predictive current control for interior permanent-magnet synchronous motor drives based on current difference detection technique[J]. IEEE Transactions on Industrial Electronics, 2014, 61(2): 667-681.
[15] ZHANG X, HOU B. Double vectors model predictive torque control without weighting factor based on voltage tracking error[J]. IEEE Transactions on Power Electronics, 2018, 33(3): 2368-2380.
[16] YAN L, DOU M, HUA Z, et al. Robustness improvement of FCS-MPTC for induction machine drives using disturbance feedforward compensation technique[J]. IEEE Transactions on Power Electronics, 2019, 34(3): 2874-2886.
[17] ZHANG Yongchang, YANG Haitao, WEI Xianglong. Model predictive control of permanent magnet synchronous motor based on fast vector selection[J]. Proceedings of the CSEE, 2016, 31(8): 66-73. 张永昌, 杨海涛, 魏香龙. 基于快速矢量选择的永磁同步电机模型预测控制[J]. 中国电机工程学报, 2016, 31(6): 66-73.
[18] ZHANG Xiaoguang, ZHANG Liang, HOU Benshuai. Improved model predictive torque control of permanent magnet synchronous motor[J]. Proceedings of the CSEE, 2017, 37(16): 4800-4809. 张晓光, 张亮, 侯本帅. 永磁同步电机优化模型预测转矩控制[J]. 中国电机工程学报, 2017, 37(16): 4800-4809.
[19] ZHANG X, ZHANG L, ZHANG Y. Model predictive current control for PMSM drives with parameter robustness improvement[J]. IEEE Transactions on Power Electronics, 2019, 34(2): 1645-1657.
[20] WANG W, XI X, LIU H, et al. Expanding parameter stability region for incremental predictive control strategy of current[J]. Transactions of China Electrotechnical Society, 2014, 29(3): 50-56.
[21] CORTES P, KOURO S, LA ROCCA B, et al. Guidelines for weighting factors design in model predictive control of power converters and drives[C]//IEEE International Conference on Industrial Technology, 2009, Gippsland, Australia: 1-7.