Vehicle Stability Control Strategy for a Dual-motor Drive Electric Vehicle Considering Driver Steering Intention

To interpret accurately a driver's intention during vehicle stability control of a dual-motor drive electric vehicle and to ensure the actual vehicle state conforms to the driver's intention as much as possible, this study proposed a stability control strategy for dual-motor drive electric vehicles considering driver steering intention. A driver steering intention identification model based on a long short-term memory model was constructed using feature parameters obtained from support vector machine-recursive feature elimination. Based on the results of steering intention identification, the steering urgency coefficient, which is taking the steering wheel torque and angel velocity as the calculation parameters, was used to establish a modified reference model of vehicle stability control that considers a driver's steering intention. In addition, the upper controller of the vehicle stability control was constructed based on the slide model control method. Taking the minimum sum of the square of the working load rate of the vehicle tires as the optimization objective, and considering the adhesion conditions of the tires as well as the performance of the motor and braking system and finally the constraint conditions of the motor state, the lower controller of the vehicle stability control was constructed. Lastly, double and single lane change tests were conducted using a dual-motor drive electric vehicle test platform based on the A&D5435 semi-physical simulation system. In the double lane change test, the maximum yaw rate and maximum sideslip angle are -18.953 (°)•s-1 and 4.568°, respectively, under the control of the proposed stability system, which are reduced by 39.87% and 54.08%, respectively, when compared with those under non-stability control. In the single lane change test, the maximum yaw rate and maximum sideslip angle are 21.76 (°)•s-1 and 5.208°, respectively, under the control of the proposed stability system, which are reduced by 65.3% and 92.6%, respectively, when compared with those under non-stability control. The results show that the proposed vehicle stability control strategy can work normally and can improve a vehicle's running stability. © 2022, Editorial Department of China Journal of Highway and Transport. All right reserved.