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Volume 7 Issue 6
Oct.  2020

IEEE/CAA Journal of Automatica Sinica

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Article Navigation >  IEEE/CAA Journal of Automatica Sinica  > 2020  >  7(6): 1542-1554
Yantao Tian, Xuanhao Cao, Xiaoyu Wang and Yanbo Zhao, "Four Wheel Independent Drive Electric Vehicle Lateral Stability Control Strategy," IEEE/CAA J. Autom. Sinica, vol. 7, no. 6, pp. 1542-1554, Nov. 2020. doi: 10.1109/JAS.2019.1911729
Citation: Yantao Tian, Xuanhao Cao, Xiaoyu Wang and Yanbo Zhao, "Four Wheel Independent Drive Electric Vehicle Lateral Stability Control Strategy," IEEE/CAA J. Autom. Sinica, vol. 7, no. 6, pp. 1542-1554, Nov. 2020. doi: 10.1109/JAS.2019.1911729
shu

Four Wheel Independent Drive Electric Vehicle Lateral Stability Control Strategy

doi: 10.1109/JAS.2019.1911729
Funds:  This work was supported by the National Nature Science Foundation (U1664263), and National Key R&D Program of China (2016YFB0101102)
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    Abstract
  • In this paper, a kind of lateral stability control strategy is put forward about the four wheel independent drive electric vehicle. The design of control system adopts hierarchical structure. Unlike the previous control strategy, this paper introduces a method which is the combination of sliding mode control and optimal allocation algorithm. According to the driver’s operation commands (steering angle and speed), the steady state responses of the sideslip angle and yaw rate are obtained. Based on this, the reference model is built. Upper controller adopts the sliding mode control principle to obtain the desired yawing moment demand. Lower controller is designed to satisfy the desired yawing moment demand by optimal allocation of the tire longitudinal forces. Firstly, the optimization goal is built to minimize the actuator cost. Secondly, the weighted least-square method is used to design the tire longitudinal forces optimization distribution strategy under the constraint conditions of actuator and the friction oval. Beyond that, when the optimal allocation algorithm is not applied, a method of axial load ratio distribution is adopted. Finally, CarSim associated with Simulink simulation experiments are designed under the conditions of different velocities and different pavements. The simulation results show that the control strategy designed in this paper has a good following effect comparing with the reference model and the sideslip angle $\,\beta$ is controlled within a small rang at the same time. Beyond that, based on the optimal distribution mode, the electromagnetic torque phase of each wheel can follow the trend of the vertical force of the tire, which shows the effectiveness of the optimal distribution algorithm.

     

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    Highlights

    • Design a kind of vehicle tire longitudinal forces optimization distribution strategy, which increases the utilization rate of each wheel.
    • Proposed a kind of compensation allocation strategy based on the axle load distribution method, which considers the tire longitudinal force constraint. And the effectiveness of actuators can be guaranteed.
    • Adopt the hierarchical control structure for controller design, which effectively improves the performance of automotive active safety.

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