Stability Control Method for the Electric City Bus Considering Riding Comfort

doi:10.3901/JME.2023.10.250

Abstract

Abstract: In order to improve riding comfort and handling stability of electric city bus under driving turns, the study of the characterization of riding comfort in the phase plane is conducted, and a vehicle state discrimination method and control strategy considering both riding comfort and stability are proposed. Firstly, a three-degree-of-freedom nonlinear vehicle model is established, and extended Kalman filter is used to estimate the sideslip angle of the bus in real time. Secondly, the boundary parameter database of the phase plane stability region under different driving conditions is constructed, and use the BP neural network to fit it. Then, the stable region of the phase plane is further divided into comfortable region and two levels of uncomfortable region, the boundary thresholds of each region are determined by the receiver operating characteristic curve(ROC) analysis method through the real vehicle riding comfort test, and a stability control strategy is designed to limit the output torque of the driving motor according to the vehicle state discrimination results. Finally, the stability control method is verified by TruckSim/Simulink co-simulation and real vehicle road test. The results show that the stability control algorithm can simultaneously monitor the riding comfort and stability of the bus, and driving torque control can be carried out in advance according to riding comfort level before vehicle becomes unstable, which improves the riding comfort while ensuring the lateral stability of the bus.

Key words: electric city bus, vehicle stability, riding comfort, phase plane method, real vehicle road test

CLC Number:

U461

ZHAO Zhiguo, CHEN Xiaorong, LIANG Kaichong, GUO Xiaoran, LI Tao. Stability Control Method for the Electric City Bus Considering Riding Comfort[J]. Journal of Mechanical Engineering, 2023, 59(10): 250-262.

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