Research on Deadbeat Current Prediction Vector Control System of Axial Flux Permanent Magnet Synchronous Motor for Electric Bus Based on Efficiency Optimal Torque Distribution Method

Jianfei Zhao,Shuang Wang,Minqi Hua,Lixiao Zheng

doi:10.1109/access.2019.2939759

Jianfei Zhao, Shuang Wang + Show 2 more

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Journal: IEEE Access	Publication Date: Jan 1, 2019
Citations: 10	License type: CC BY 4.0

Affiliation: Shanghai University

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In order to improve the cruising range of electric bus, this paper studies the deadbeat current prediction vector control system of axial flux permanent magnet synchronous motor (AFPMSM) for electric bus based on the optimal torque distribution method. Firstly, the mathematical model of the three stators-double rotors AFPMSM is established. Secondly, in order to improve the high efficiency range, the efficiency optimal torque distribution method is proposed based on the average torque distribution method and the back propagation (BP) neural network is used to find the optimal torque distribution method. Then a current control strategy based on deadbeat current prediction control is proposed to improve the torque tracking characteristics. Finally, a drive control system is developed for the proposed control strategy, and experimental research and vehicle testing are carried out. The experimental results show that the BP neural network-based torque distribution method designed in this paper increases the high efficiency range of the drive system and improves the cruising range of the electric bus. The drive system using a current controller based on deadbeat current prediction control exhibits good dynamic and steady state performance.

Highlights

New energy vehicles can be used in the public transportation sector to achieve energy conservation and emission reduction and to develop local new energy vehicle industry [1], [2], in which electric buses have been initially applied
Based on the deadbeat current prediction controller’s drive system, the time taken for the torque to reach a steady state from 0Nm to 200Nm is about 34ms, and there is no torque overshoot, and the torque ripple is small at steady state
In this paper, the three-stator-double rotor axial flux permanent magnet synchronous motor (AFPMSM) is taken as the research object, and the deadbeat current predictive vector control system based on the efficiency optimal torque distribution method is studied

Summary

INTRODUCTION

New energy vehicles can be used in the public transportation sector to achieve energy conservation and emission reduction and to develop local new energy vehicle industry [1], [2], in which electric buses have been initially applied. This paper has conducted in-depth research on improving the cruising range of electric buses and the performance of the drive control system. In order to improve the accuracy and performance of the electric bus drive control system studied in this paper, a current control strategy based on deadbeat. The optimal torque distribution method based on BP neural network algorithm is proposed and studied. A current control strategy based on deadbeat current prediction control is proposed, and the drive control system for electric buses is studied. In general multi-motor systems, the torque average distribution is used to distribute the total torque Tm. In order to further improve the system efficiency, this section studies the efficiency optimal torque distribution method based on BP neural network.

EFFICIENCY OPTIMAL TORQUE DISTRIBUTION METHOD BASED ON BP NEURAL NETWORK

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