Vehicle Stability Enhancement of Four-Wheel-Drive Hybrid Electric Vehicle Using Rear Motor Control

A vehicle stability enhancement control algorithm for a four-wheel-drive hybrid electric vehicle (HEV) is proposed using rear motor driving, regenerative braking control, and electrohydraulic brake (EHB) control. A fuzzy-rule-based control algorithm is proposed, which generates the direct yaw moment to compensate for the errors of the sideslip angle and yaw rate. Performance of the vehicle stability control algorithm is evaluated using ADAMS and MATLAB Simulink cosimulations. HEV chassis elements such as the tires, suspension system, and steering system are modeled to describe the vehicle's dynamic behavior in more detail using ADAMS, whereas HEV power train elements such as the engine, motor, battery, and transmission are modeled using MATLAB Simulink with the control algorithm. It is found from the simulation results that the driving and regenerative braking at the rear motor is able to provide improved stability. In addition, better performance can be achieved by applying the driving and regenerative braking control, as well as EHB control.

[1]  Yoichi Hori,et al.  Traction control of electric vehicle: basic experimental results using the test EV "UOT electric march" , 1998 .

[2]  Donghyun Kim,et al.  Vehicle Stability Control with Regenerative Braking and Electronic Brake Force Distribution for a Four-Wheel Drive Hybrid Electric Vehicle , 2006 .

[3]  Takayuki Toyoshima,et al.  Study of simulation technology for limit drivability , 2003 .

[4]  T. Ide,et al.  SIMULATION APPROACH TO THE EFFECT OF THE RATIO CHANGING SPEED OF A METAL V- BELT CVT ON THE VEHICLE RESPONSE , 1995 .

[5]  Marc Green,et al.  "How Long Does It Take to Stop?" Methodological Analysis of Driver Perception-Brake Times , 2000 .

[6]  Farzad Tahami,et al.  A novel driver assist stability system for all-wheel-drive electric vehicles , 2003, IEEE Trans. Veh. Technol..

[7]  T D Gillespie,et al.  Fundamentals of Vehicle Dynamics , 1992 .

[8]  Earl Cox,et al.  The fuzzy systems handbook , 1994 .

[9]  Reza Kazemi,et al.  A new strategy for traction control in turning via engine modeling , 2001, IEEE Trans. Veh. Technol..

[10]  Jihua Huang,et al.  Control oriented modeling for enhanced yaw stability and vehicle steerability , 2004, Proceedings of the 2004 American Control Conference.

[11]  Yoshio Kano,et al.  Side-slip control to stabilize vehicle lateral motion by direct yaw moment , 2001 .

[12]  Shin-ichiro Sakai,et al.  Motion control in an electric vehicle with four independently driven in-wheel motors , 1999 .

[13]  Keiyu Kin,et al.  Enhancements in vehicle stability and steerability with slip control , 2003 .

[14]  Hyeongcheol Lee,et al.  Driveline Torque-Bias-Management Modeling for Vehicle Stability Control , 2002 .

[15]  Fei-Yue Wang,et al.  Integrated longitudinal and lateral tire/road friction modeling and monitoring for vehicle motion control , 2006, IEEE Transactions on Intelligent Transportation Systems.

[16]  Stanislaw H. Zak,et al.  Designing a genetic neural fuzzy antilock-brake-system controller , 2002, IEEE Trans. Evol. Comput..