An Acceleration Slip Regulation Strategy for Four-Wheel Drive Electric Vehicles Based on Sliding Mode Control

This paper presents an acceleration slip regulation (ASR) system for four-wheel drive (4WD) electric vehicles, which are driven by the front and rear axles simultaneously. The ASR control strategy includes three control modes: average distribution of inter-axle torque, optimal distribution of inter-axle torque and independent control of optimal slip rate, respectively, which are designed based on the torque adaptive principle of inter-axle differential and sliding mode control theory. Furthermore, in order to accurately describe the longitudinal tyre force characteristic, a slip rate calculation formula in the form of a state equation was used for solving the numerical problem posed by the traditional way. A simulation was carried out with the MATLAB/Simulink software. The simulation results show that the proposed ASR system can fully use the road friction condition, inhibit the drive-wheels from slipping, and improve the vehicle longitudinal driving stability.

[1]  Tielong Shen,et al.  Adaptive control approach to uncertain longitudinal tire slip in traction control of vehicles , 2008 .

[2]  Teh-Lu Liao,et al.  Nonlinear linearization controller and genetic algorithm-based fuzzy logic controller for ABS systems and their comparison , 2000 .

[3]  Brahim Gasbaoui,et al.  A Novel 4WD Electric Vehicle Control Strategy Based on Direct Torque Control Space Vector Modulation Technique , 2012 .

[4]  Wei Liu,et al.  Driving Control Research for Longitudinal Dynamics of Electric Vehicles with Independently Driven Front and Rear Wheels , 2013 .

[5]  C. L. Clover,et al.  Longitudinal Tire Dynamics , 1998 .

[6]  Antonella Ferrara,et al.  Wheel Slip Control via Second-Order Sliding-Mode Generation , 2010, IEEE Transactions on Intelligent Transportation Systems.

[7]  Hans B. Pacejka,et al.  THE MAGIC FORMULA TYRE MODEL , 1991 .

[8]  Shuzhi Sam Ge,et al.  Sliding-Mode-Observer-Based Adaptive Slip Ratio Control for Electric and Hybrid Vehicles , 2012, IEEE Transactions on Intelligent Transportation Systems.

[9]  Qingnian Wang,et al.  Independent wheel torque control of 4WD electric vehicle for differential drive assisted steering , 2011 .

[10]  Kyongsu Yi,et al.  Driving Control Algorithm for Maneuverability, Lateral Stability, and Rollover Prevention of 4WD Electric Vehicles With Independently Driven Front and Rear Wheels , 2011, IEEE Transactions on Vehicular Technology.

[11]  Ka Wai Eric Cheng,et al.  Multi-Objective Optimization Design of In-Wheel Switched Reluctance Motors in Electric Vehicles , 2010, IEEE Transactions on Industrial Electronics.

[12]  K. Dasgupta Analysis of a hydrostatic transmission system using low speed high torque motor , 2000 .

[13]  Yoichi Hori,et al.  Advantage of Electric Motor for Anti Skid Control of Electric Vehicle , 2001 .

[14]  John McPhee,et al.  Development of a Fuzzy Slip Control System for Electric Vehicles with In-wheel Motors , 2012 .

[15]  Hongwen He,et al.  Simulation Research on an Electric Vehicle Chassis System Based on a Collaborative Control System , 2013 .

[16]  D. Morrey,et al.  Recent advances in antilock braking systems and traction control systems , 2000 .

[17]  Yoichi Hori,et al.  A Novel Traction Control for EV Based on Maximum Transmissible Torque Estimation , 2009, IEEE Transactions on Industrial Electronics.

[18]  Yu Zhuoping Study of Acceleration Slip Regulation Strategy for Four Wheel Drive Hybrid Electric Car , 2011 .

[19]  Yoichi Hori,et al.  Control Algorithm for an Independent Motor-Drive Vehicle , 2010, IEEE Transactions on Vehicular Technology.

[20]  Hosam K. Fathy,et al.  Transport-Based Load Modeling and Sliding Mode Control of Plug-In Electric Vehicles for Robust Renewable Power Tracking , 2012, IEEE Transactions on Smart Grid.