Evaluation And Optimization Of Automobile Brake Feeling Based On Driver-Vehicle Model

Electric vehicles have become the focus of research and development in the automotive industry due to the advantages of energy saving,environmental protection,less pollution and high economic benefits.One of the biggest differences between electric vehicles and conventional-fuel vehicles is their regenerative braking system.This regenerative braking system converts the kinetic energy of the electric vehicle during braking directly into energy to increase the number of miles driven.During this process,the driver’s brake sensation is affected by the regenerative braking system.In order to further improve the braking comfort of electric vehicles and provide feedback information for the optimization of regenerative braking control strategy,this paper proposes a braking feeling evaluation method based on driver-vehicle model,and conducts the following research:(1)Based on the study of the driver’s braking behavior during braking,a drivervehicle model with body pitch feedback under braking conditions is established.A driver model parameter recognition algorithm based on Hilbert-Huang transform and simplex method is proposed,and the accuracy of the driver model is verified by experiments;(2)A comprehensive driver-vehicle braking model was established to explore the influence of different demand braking force estimation correction coefficients and different regenerative braking control strategies on the driver’s braking sensation.The mapping relationship between key parameters of the driver model and braking sensation is clarified,and the correction coefficient of demand brake force estimation and the intrinsic relationship between different regenerative braking control strategies and the evolution characteristics of driver model parameters are obtained.This paper proves the possibility of using driver model parameters to identify braking sensation and directly correct the required braking force correction coefficient and feedback correction of regenerative braking control strategy;(3)After calculating the ideal braking force correction coefficient,the PID control algorithm is used to correct the actual braking force correction coefficient to adjust the actual braking force and improve the driver’s braking feeling.This paper lays a theoretical foundation for electric vehicles to implement feedback correction braking force estimation coefficient and regenerative braking control strategy to improve braking comfort,and provides an efficient and convenient way and method for online debugging of electric vehicle braking feeling.After establishing the complete vehicle model,the optimization regenerative braking force control strategy is applied,and the feasibility of the optimization strategy is verified by simulation experiments.