Research on Electronic Differential Control Method of Electric Vehicle Based on Relatively Slip Rate

This paper presents an electronic differential control strategy based on equal adhesion coefficient, it makes electric vehicle (EV) with two dual-motorized-wheels achieve differential by distributing and controlling the driving torque. First, six degree-of-freedom (6-DOF) vehicle dynamic model was set up and electronic differential system based on permanent magnet synchronous motor (PMSM) vector control was designed, then the simulation of differential control method with Matlab/Simulink was performed. The results show that when the high-speed vehicle steering in the low road adhesion coefficient, the electronic differential control method based on the principle of equal adhesion coefficient can keep two driving wheels’ adhesion coefficient utilization ratio the same, avoiding single wheel skid and improving the steering stability.

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The Boundary Proportion Differential Control Method of Micro-Deformable Manipulator with Compensator Based on Partial Differential Equation Dynamic Model

Micromachines ◽

10.3390/mi12070799 ◽

2021 ◽

Vol 12 (7) ◽

pp. 799

Author(s):

Xiangli Pei ◽

Ying Tian ◽

Minglu Zhang ◽

Ruizhuo Shi

Keyword(s):

Differential Equation ◽

Partial Differential Equation ◽

Dynamic Model ◽

Control Method ◽

System Modeling ◽

Working Environment ◽

Partial Differential ◽

External Interference ◽

Differential Control ◽

Differential Control Method

It is challenging to accurately judge the actual end position of the manipulator—regarded as a rigid body—due to the influence of micro-deformation. Its precise and efficient control is a crucial problem. To solve the problem, the Hamilton principle was used to establish the partial differential equation (PDE) dynamic model of the manipulator system based on the infinite dimension of the working environment interference and the manipulator space. Hence, it resolves the common overflow instability problem in the micro-deformable manipulator system modeling. Furthermore, an infinite-dimensional radial basis function neural network compensator suitable for the dynamic model was proposed to compensate for boundary and uncertain external interference. Based on this compensation method, a distributed boundary proportional differential control method was designed to improve control accuracy and speed. The effectiveness of the proposed model and method was verified by theoretical analysis, numerical simulation, and experimental verification. The results show that the proposed method can effectively improve the response speed while ensuring accuracy.

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A proportional differential control method for a time-delay system using the Taylor expansion approximation

Applied Mathematics and Computation ◽

10.1016/j.amc.2014.02.087 ◽

2014 ◽

Vol 236 ◽

pp. 391-399 ◽

Cited By ~ 73

Author(s):

Ling Xu

Keyword(s):

Time Delay ◽

Taylor Expansion ◽

Control Method ◽

Delay System ◽

Time Delay System ◽

Differential Control ◽

Differential Control Method ◽

Taylor Expansion Approximation

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Co-Simulation of Composite ABS Control for In-Wheel Motor Drive Electric Vehicle Based on Threshold Control Algorithm

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.690-693.3036 ◽

2013 ◽

Vol 690-693 ◽

pp. 3036-3041 ◽

Cited By ~ 1

Author(s):

Jian Hua Li ◽

Chuan Xue Song ◽

Li Qiang Jin

Keyword(s):

Electric Vehicle ◽

Electric Vehicles ◽

Electric Motor ◽

Control Method ◽

Slip Rate ◽

Motor Drive ◽

Control Logic ◽

Threshold Control ◽

Road Friction ◽

Logic Threshold

According to the brake characteristics of in-wheel motor drive electric vehicles, and basing on threshold control method, we describe one kind of composite ABS control theory about electric motor ABS combined with hydraulic friction ABS, and establish a co-simulation vehicle model. The composite ABS control method is a control method that the electric motor ABS control works together with the hydraulic ABS control. Both of the two modes of ABS control logic were using logic threshold control method. The model of the in-wheel motor drive electric vehicle was established with AMESim, and the model of the composite ABS controller was built with Simulink. The control performance of composite ABS in different braking strength and different road friction coefficients is simulated. Co-simulation was carried out. Through analysis, a number of parameters curves were obtained. It proves that the composite ABS control method for in-wheel motor drive electric vehicles can effectively control the slip rate, and ensure braking stability.

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Study on Electronic Differential Control for a Mini Electric Vehicle with Dual In-Wheel-Motor Rear Drive

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.525.346 ◽

2014 ◽

Vol 525 ◽

pp. 346-350 ◽

Cited By ~ 1

Author(s):

Shun Yan Hou ◽

Zhi Yuan Li ◽

Tao Wang ◽

Lian Lu Pang ◽

Zhi Yuan Feng

Keyword(s):

Electric Vehicle ◽

Control Strategy ◽

Load Transfer ◽

Control Variable ◽

Slip Rate ◽

Control Objective ◽

Wheel Torque ◽

The Moment ◽

Acceleration Mode ◽

Differential Control

An electronic differential control system (EDS) has been designed based on a mini electric vehicle (EV) with dual in-wheel-motor rear drive. In view of imperfection of current strategy with speed and moment as control variables, a new control strategy for EDS in a two in-wheel-motor drive EV is proposed with the moment of driving wheel torque as control variable and the slip rate equilibrium of two driving wheels as control objective, considering the effects of axle load transfer. The differential control experiments are conducted with steering mode and straight acceleration mode based on the vehicle prototype. The results show that the control strategy is reasonable, and the controller can effectively realize EV electronic differential by coordinating the moment of two driving wheels.

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Study of differential control method for solving chaotic solutions of nonlinear dynamic system

Nonlinear Dynamics ◽

10.1007/s11071-011-0191-3 ◽

2011 ◽

Vol 67 (4) ◽

pp. 2821-2833 ◽

Cited By ~ 3

Author(s):

Li-guo Wang ◽

Xiangjun Zhang ◽

Dianguo Xu ◽

Wenhu Huang

Keyword(s):

Dynamic System ◽

Nonlinear Dynamic ◽

Control Method ◽

Nonlinear Dynamic System ◽

Differential Control ◽

Differential Control Method

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Adaptive electronic differential control of vehicle by torque balance

Mobile Networks and Applications ◽

10.1007/s11036-019-01365-w ◽

2019 ◽

Vol 25 (4) ◽

pp. 1604-1610

Author(s):

Hong Tian ◽

Weiguo Zhu ◽

Sharon Wang

Keyword(s):

Control System ◽

Reactive Power ◽

Control Method ◽

Optimal Combination ◽

Differential Distribution ◽

Speed Mode ◽

Differential Control ◽

Balancing Control ◽

Differential Control Method

Abstract Current adaptive torque balancing control of electric wheel-driven vehicle has shortcomings in electronic differential control of drive motor by using rotation speed mode. In order to solve this problem, an adaptive electronic differential control method of electric wheel-driven vehicle is proposed in this paper by torque balance. Firstly, by starting from the kinematics and dynamics of vehicle steering, the speed and force of each drived wheel in the steering are analyzed to explain the auxiliary role of electronic differential control to adaptive torque balancing, as well as influence of steering radius in vehicle. Then, electronic differential distribution by torque of wheel is used to control the abnormal jump interference and calculate the optimal combination of parameters in electronic differential control system. Finally, based on the optimal combination of these parameters, an adaptive electronic differential control of electric wheel-driven vehicle by torque balance is realized with fuzzy control in active and the reactive power. Experimental results show that the proposed method suppresses the abnormal jump interference factors of electronic differential control, as well as realizes the differential functions in control system. It has far-reaching significance by provideing a basic guarantee to realize adaptive electronic differential control system in electronic wheel-driven vehicle.

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