Adaptive Fuzzy Control of an Electronic Differential Based on the Stability Criterion of the Phase Plane Method

Author:

Zhu Shaopeng12,Xu Yekai1,Li Linlin3,Ren Yong3,Kuang Chenyang1,Chen Huipeng456,Gao Jian67

Affiliation:

1. Power Machinery & Vehicular Engineering Institute, College of Energy Engineering, Zhejiang University, Hangzhou 310058, China

2. Key Laboratory of Clean Energy and Carbon Neutrality of Zhejiang Province, Hangzhou 310013, China

3. Nanjing Research Institute of Electronic Engineering, Nanjing 210007, China

4. School of Mechanical Engineering, Hangzhou Dian Zi University, Hangzhou 310018, China

5. State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China

6. Jiaxing Research Institute, Zhejiang University, Jiaxing 314031, China

7. Polytechnic Institute, Zhejiang University, Hangzhou 310058, China

Abstract

To improve the handling stability of distributed drive electric vehicles, this paper introduces an electronic differential control strategy based on the stability criterion of the phase plane method. The strategy first plots the distributed electric vehicle’s center of mass side angle and center of mass angular speed on the phase plane, and then it analyzes the vehicle’s stability under various working conditions to determine the parameters that ensure the stability performance. Subsequently, an adaptive fuzzy control strategy is employed to achieve fast and accurate distribution of the torque to each wheel, thereby enhancing the vehicle’s stability. A joint simulation platform is constructed using MATLAB/Simulink and CarSim. A comparison with the traditional electronic differential strategy demonstrates that the proposed distribution strategy based on phase plane stability exhibited excellent stability.

Funder

Control design of new energy vehicle air conditioning compressor based on intelligent multi-objective optimization

Publisher

MDPI AG

Reference23 articles.

1. Review on Vehicle Dynamics Control of Distributed Drive Electric Vehicle;Yu;J. Mech. Eng.,2013

2. Overview of Multimotor Independent Drive of Electric Vehicles;Zhang;Automob. Technol.,2015

3. Ma, H.J. (2016). Research on Electronic Differential Control System of Electric Vehicle. [Master’s Thesis, Zhejiang University].

4. Wu, N. (2015). Motion Simulation Research on Four-wheel Steering System of Electric Vehicle. [Master’s Thesis, South China University of Technology].

5. Peng, S.L. (2011). Research on Differential Control Strategy of Electric Wheel Vehicle. [Master’s Thesis, Wuhan University of Science and Technology].

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