This paper analyzes the generation and influence mechanism of negative airgap eccentricity effect for in-wheel switched reluctance motor (SRM) driving system, and proposes an optimum control strategy to achieve cooperative optimal performance between in-wheel motor driving system and electric vehicle (EV). Firstly, the electromagnetic characteristic of SRM under airgap eccentricity is studied based on electromagnetic coupling model and circuit driving equation. Then, the negative effect of airgap eccentricity on the in-wheel SRM driving system is analyzed in timefrequency domain combined on the excitation characteristics of unbalanced radial force. Finally, an independent current chopping control strategy for in-wheel SRM driving system based on vehicle vibration feedback is proposed, and the controller parameters are optimized by interpolation. The simulation results show that the proposed optimum control strategy can improve the driving torque while restrain the unbalanced radial force, and effectively suppress the negative airgap eccentricity effect of in-wheel motor driving system. This study starts from the dynamics relationship between SRM, in-wheel motor driving system and EV, and lays a theoretical foundation for solving the negative dynamic effect of in-wheel motor driving system.
This paper focuses on the negative effect of in-wheel switched reluctance motor (SRM) with inclined airgap eccentricity for the handling stability of electric vehicle (EV). Firstly, the radial electromagnetic force of the SRM under inclined airgap eccentricity is deduced based on the Maxwell stress tensor and airgap permeability correction coefficient, and the calculation results are verified by the built measurement device. Then, a dynamics model of in-wheel motor driving EV is constructed according to the response relationship of driving wheels. Finally, the influence of unbalanced radial torque (URT) on the negative dynamic effect of EV is analyzed with angular step input and sine input respectively. The simulation results show that the EV will deviate from the expected trajectory due to the impact of URT, which will threaten driving safety in vehicle steering or overtaking. In addition, the vehicle yaw velocity will deteriorate with the increase of the driving speed and turning angle, which will affect the dynamics response of vehicle handling stability. This research, starting from the coupling relationship between in-wheel motor response characteristics and vehicle driving conditions, can provide theoretical support for the popularization and application for in-wheel motor driving EVs.
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