Abstract

This paper presents an active slip control system (ASCS) for a four-wheel drive electric vehicle (EV) using an active suspension of the vehicle. The integrated control mechanism is designed using a combination of a fuzzy controller and a nonlinear back-stepping controller to control the slip of the individual wheels with the help of the active suspension of the vehicle. In this research, the presented control mechanism is implemented in two steps. In the first step, based on the friction coefficient calculated from a nonlinear tire model, the fuzzy controller will generate the vehicle roll and pitch angles required to reduce the slipping of the individual wheels by changing the vertical load of the individual wheel. In the second step, a nonlinear back-stepping controller is used to track the required roll and pitch angles using the active suspension of the vehicle. A linear seven degree of freedom (DOF) vertical mathematical model is used for the design of the nonlinear back-stepping controller, while the rules of the fuzzy controller are interpreted from the friction coefficients of the tyre model. The performance of the presented control mechanism is verified using a 14-DOF nonlinear model with nonlinear tyre dynamics. The simulations using a nonlinear vehicle model show that the presented controller can successfully improve vehicle stability by reducing the slipping of the individual wheel.

Highlights

  • Recent years have witnessed an increasing demand for electric vehicle (EV)

  • In the first step, based on the friction coefficient calculated from a nonlinear tire model, the fuzzy controller will generate the required pitch and roll angle needed to reduce the slipping by changing the vertical load of the individual wheel, in the second step a nonlinear back-stepping controller is used to track the desired pitch and roll angle using the active suspension of the vehicle

  • A linear seven degree of freedom (DOF) vertical mathematical model is used for the design of the nonlinear back-stepping controller, while the rules of the fuzzy controller are interpreted from the friction coefficients of the tyre model

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Summary

Introduction

Recent years have witnessed an increasing demand for electric vehicle (EV). Due to the development of the advance technology for safety and high mobility the environment friendly EV has become a prime focus of research in the automobile industry [1]. A nonlinear back-stepping controller to control the slip of the individual wheels with the help of the active suspension of the vehicle. In the first step, based on the friction coefficient calculated from a nonlinear tire model, the fuzzy controller will generate the required pitch and roll angle needed to reduce the slipping by changing the vertical load of the individual wheel, in the second step a nonlinear back-stepping controller is used to track the desired pitch and roll angle using the active suspension of the vehicle. The simulations using a nonlinear vehicle model under different driving conditions show that the presented controller can successfully improve vehicle stability by reducing the slipping of the individual wheel. Simulation results using a high fidelity nonlinear vehicle model are discussed in Section 4, followed by conclusion

Vehicle mathematical model
Vehicle mathematical model 14-DOF
Vehicle vertical mathematical model 7-DOF
Nonlinear tyre model
Control design
Fuzzy controller
Simulations
Lane change manoeuvres
J-Turn manoeuvres
Conclusion
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