Comprehensive Analysis of Wheel Drive Motor Torque Characteristics

2011 ◽  
Vol 130-134 ◽  
pp. 1156-1160
Author(s):  
Qing Sun ◽  
Shu Guang Zuo ◽  
Cong Gan Ma ◽  
Fan Hui Zhang ◽  
Shu Meng
Keyword(s):  
Electric Vehicle ◽  
Preventive Measures ◽  
Ride Comfort ◽  
Torque Ripple ◽  
Motor Torque ◽  
Dc Motors ◽  
Wheel Drive ◽  
Drive Motor ◽  
Permanent Magnet Dc Motors ◽  
Drive Systems

Wheel drive motor torque ripple will cause noise and vibration, and affect vehicle ride comfort. The research status of electric vehicle wheel drive systems was described briefly. Based on the analysis and comparison of several electric vehicle motor, The causes of torque ripple in permanent magnet DC motors were summarized. Preventive measures of the torque ripple were proposed accordingly. Finally to be proposed were the new questions of the torque output characteristic of BLDC while used as the wheel drive motor in complex driving conditions.

Nested Optimization of an Elevator and Its Gain-Scheduled LQG Controller

2002 ◽  
Author(s):  
Hosam K. Fathy ◽  
Scott A. Bortoff ◽  
G. Scott Copeland ◽  
Panos Y. Papalambros ◽  
A. Galip Ulsoy
Keyword(s):  
Ride Comfort ◽  
Optimization Problems ◽  
Torque Ripple ◽  
Guide Rail ◽  
Control Optimization ◽  
Drive Motor ◽  
Rail Irregularity ◽  
Optimal System Design ◽  
And Control ◽  
Gain Scheduled

This paper studies the combined optimization of an elevator’s design (plant) and LQG controller for ride comfort. Elevator dynamics and primary vibration sources (drive motor torque ripple and guide rail irregularity) are modeled using an object-oriented language. The resulting model is nonlinear. Elevator vibrations are minimized with respect to both the design and the LQG controller. LQG gains are scheduled versus cab mass and height for robustness. Sequential plant/control optimization produces an optimal ride only when the torque ripple is the dominant disturbance. Otherwise, passive vibration reduction decreases the controller’s authority over the vibrations, hence coupling the plant and control optimization problems. Combined plant/controller optimization, using a nested strategy, mitigates this coupling and finds the correct optimal system design.

Research on the Ride Comfort of Electric Drive System Based on Double Trailing Arm Suspension

2014 ◽  
Vol 607 ◽  
pp. 458-466 ◽  
Author(s):  
Wei Wang ◽  
Yan Li ◽  
Shan Zhang ◽  
Bin Wang
Keyword(s):  
Differential Equation ◽  
Ride Comfort ◽  
Equation Of Motion ◽  
Vertical Vibration ◽  
Drive System ◽  
Vertical Acceleration ◽  
Electric Drive System ◽  
Wheel Drive ◽  
Dynamic Absorber ◽  
Drive Systems

Based on double trailing arm suspension, relating to two-wheel-drive structures with inhibition of vertical vibration: a motor-integrated electric wheel-drive system and an electric wheel-drive system of which the motor can swing up and down and act as a dynamic absorber. In the paper a unified differential equation of motion of the two electric wheel drive systems was deduced, and Matlab and Adams were applied to simulate and analyze the ride comfort of the two drive systems. The analysis results show that compared to the traditional In-Wheel Motor Driven EV, the vertical acceleration of the car body of either of the two drive systems is lower, which significantly increases the ride comfort of car. Between the two electric wheel-drive systems, the latter system with dynamic absorber motor is more efficient to inhibit vertical vibration.

Experimental Study of the Wheel Drive EV with External Rotor Switched Reluctance Motor

2013 ◽  
Vol 325-326 ◽  
pp. 472-475
Author(s):  
Lian Xue Gao ◽  
Dian Sheng Sun
Keyword(s):  
Electric Vehicle ◽  
Switched Reluctance Motor ◽  
Torque Control ◽  
Motor Speed ◽  
Nonlinear Characteristics ◽  
Switched Reluctance ◽  
Motor Torque ◽  
Wheel Drive ◽  
Reluctance Motor ◽  
The Relationship

Equiped with an electronic differential function in double wheel or four wheel electric vehicle drive, it must be driven by motor torque control precisely . Due to the nonlinear characteristics of the motor when the wheels switched reluctance motor drive, it is difficult to ensure motor torque and phase current relationship by the theoretical approach. This paper puts forward the experimental methods to get the different speed motor torque and given the relationship between the current , so as to make table, according to the rotation of the motor speed and torque requirements, the accurate switched reluctance motor torque control through given the current value in the future of the electric vehicle.

Vibration control of improved LQG for wheel drive electric vehicle based on uncertain parameters

2021 ◽  
pp. 095440702098315
Author(s):  
Xueguang Yu ◽  
Xintian Liu ◽  
Xu Wang ◽  
Xiaolan Wang ◽  
Yansong Wang
Keyword(s):  
Electric Vehicle ◽  
Ride Comfort ◽  
Weight Coefficient ◽  
Evaluation Index ◽  
Weighting Coefficient ◽  
Uncertain Parameters ◽  
Vehicle Performance ◽  
Passive Suspension ◽  
Wheel Drive ◽  
Performance Evaluation Index

To improve the ride comfort of wheel drive electric vehicle, a quarter dynamic model is established for vehicle active and passive suspension. Based on the response root mean square (RMS), the evaluation index of vehicle ride comfort is derived. According to the influence of uncertain parameters on system minimum RMS, the optimal vehicle parameters are determined. To avoid experience value of uncertain weight coefficient affecting the LQG control, analytic hierarchy process (AHP) is adopted to determine the weighting coefficient of vehicle performance evaluation index. And the LQG controller of vehicle active suspension is designed based on optimal control theory. Compared with the analysis results of passive suspension, the effectiveness of active control scheme is verified.

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