Citation

Yang K, Xiao J, Tan D, Ma C, Gao Z, Wang J. Int. J. Veh. Syst. Model. Test. 2023; 17(3/4): 267-287.

Copyright

(Copyright © 2023, Inderscience Publishers)

DOI

10.1504/IJVSMT.2023.135444

PMID

unavailable

Abstract

To solve the problem of increased wheel inertia and significantly different wheel target slip rates during cornering braking of the electric vehicle with four-wheel-motors, the target slip rates were optimised by particle swarm algorithm, and a braking stability control strategy is proposed. The upper controller calculated the required compensating yaw moment and slip rate increment, the lower controller used a logic threshold value ABS control algorithm to control the wheel-braking force using three schemes: single-wheel control, single-side control, and no turn control applied, respectively. The control strategy was verified based on a condition with an initial speed of 90 km/h, a front wheel turning angle of 5.7°, and a braking deceleration of 8 m/s2. The simulation results show that it can adjust each wheel-braking force to produce compensating transverse moments to improve cornering braking stability. The single-side wheel control has better braking performance and cornering braking stability than the single-wheel control.

Language: en