scholarly journals Suppression of Switched Reluctance Motor Vibration of In-Wheel Motor Electric Vehicle

2018 ◽  
Vol 2018 ◽  
pp. 1-13
Author(s):  
Funing Yang ◽  
Yanyang Wang
Keyword(s):  
Electric Vehicle ◽  
Dynamic Performance ◽  
Switched Reluctance Motor ◽  
Active Suspension ◽  
Radial Force ◽  
Vertical Vibration ◽  
Vehicle Body ◽  
Switched Reluctance ◽  
Performance Indexes ◽  
Reluctance Motor

Switched reluctance motor (SRM) has got great attention in in-wheel motor electric vehicle (IWM-EV), but SRM vertical force, the vertical component of SRM unbalanced radial force, yields SRM vertical vibration and does harm to dynamic performance of IWM-EV. In order to reduce the SRM vertical vibration, electromagnetic active suspension and a linear quadratic Gaussian (LQG) controller were used to suppress the unbalanced radial force in this paper. All the models and the controller were constructed in Matlab/Simulink R2015b. The controller considers five performance indexes: vehicle body acceleration, SRM airgap eccentricity, SRM stator acceleration, suspension dynamic deflections, and tyre deformation. Analytic Hierarchy Process (AHP) was used to calculate the weighted coefficients of performance indexes. Simulations indicate that this electromagnetic active suspension can reduce SRM vertical vibration obviously and improve dynamic performance of IWM-EV.

Modeling and Performance Analysis of Switched Reluctance Motor in Electric Vehicles

2014 ◽  
Vol 532 ◽  
pp. 26-30
Author(s):  
Yue Ying Zhu ◽  
Jiang Feng Mou
Keyword(s):  
Performance Analysis ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Dynamic Performance ◽  
Switched Reluctance Motor ◽  
Power Performance ◽  
Nonlinear Dynamic Model ◽  
Switched Reluctance ◽  
Reluctance Motor ◽  
And Performance

The power performance of the Switched Reluctance Motor (SRM) drive used in electric vehicles is very important for improving the dynamic performance of the vehicle and matching the parameters of the vehicle power train. In order to analyses the drive performance of the SRM drive under the electric vehicle, the nonlinear dynamic model of the SRM drive is established in the MATLAB/Simulink environment. Then the vehicle dynamic load model is designed to connect with the SRM drive model, and the performance analysis of the SRM used in the developing electric vehicle is carried out based on power output and equivalent power factor. The analysis results are significant for the design and improvement of the electric vehicle.

Modeling and suppression of unbalanced radial force for in-wheel motor driving system

2021 ◽  
pp. 107754632110260
Author(s):  
Zhaoxue Deng ◽  
Xu Li ◽  
Tianqin Liu ◽  
Shuen Zhao
Keyword(s):  
Electromagnetic Force ◽  
Switched Reluctance Motor ◽  
Radial Force ◽  
Force Amplitude ◽  
Switched Reluctance ◽  
Driving System ◽  
Coupling Relationship ◽  
Force Fluctuation ◽  
Reluctance Motor ◽  
Road Excitation

Considering the negative vertical dynamics effect of switched reluctance motor on an in-wheel motor driving system, this article presents a modeling and suppression method for unbalanced radial force of the in-wheel motor driving system. To tease out the coupling relationship within the in-wheel motor driving system, this investigation, respectively, explores the principle of unbalanced radial force and the coupling relationship between rotor eccentricity and road excitation based on the suspension response model with unbalanced radial force under road excitation. The switched reluctance motor nonlinear analytical model was fitted by the Fourier series, and its radial electromagnetic force was modeled and analyzed by the Maxwell stress tensor method. To mitigate the influence of radial electromagnetic force fluctuation and unbalanced radial force amplitude value under eccentricity condition on the in-wheel motor driving system, the elitist non-dominated sorting genetic algorithm was adopted to improve radial electromagnetic force fluctuation and unbalanced radial force amplitude value of the switched reluctance motor. The simulation results show that the proposed optimization method can suppress the radial electromagnetic force fluctuation and unbalanced radial force amplitude value, and the negative effect of vertical dynamics of the in-wheel motor driving system is conspicuously mitigated.

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