Journal of Jilin University(Engineering and Technology Edition) ›› 2026, Vol. 56 ›› Issue (1): 31-43.doi: 10.13229/j.cnki.jdxbgxb.20240676

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Electro-hydraulic coordinated control strategy for braking mode switching process of electric vehicles

Xiang-wen ZHANG1,2(),Zi-hao WANG1   

  1. 1.School of Electronic Engineering and Automation,Guilin University of Electronic Technology,Guilin 541004,China
    2.Key Laboratory of Intelligence Integrated Automation in Guanxi Universities,Guilin University of Electronic Technology,Guilin 541004,China
  • Received:2024-06-17 Online:2026-01-01 Published:2026-02-03

Abstract:

During the composite braking process of electric vehicles, there is a response speed difference between the motor and the hydraulic braking system, so the switching process between the two braking systems can cause impacts on the vehicle, affecting driving comfort. Therefore, an electro-hydraulic coordinated control strategy is proposed in this paper for braking mode switching process. A fuzzy PID control algorithm is used for the hydraulic braking system, and a model predictive control (MPC) algorithm is used for the motor braking system, and the seagull optimization algorithm is used to optimize the MPC weight coefficients to eliminate the dynamic response difference between the two braking systems. A semi-physical simulation platform was built to verify the designed control strategy. The results show that, under constant and variable braking intensity conditions, the impact degree during different mode switching processes was reduced by at least 13.9 m/s3, and the impact duration was reduced by at least 0.15 s. Therefore, the designed control strategy can achieve a smooth transition during the braking mode switching process and improve the stability and comfort of braking mode switching in the composite braking process of electric vehicles.

Key words: vehicle engineering, composite braking, electro-hydraulic coordination, mode switching, impact degree

CLC Number: 

  • U463.5

Table 1

Vehicle structural parameters"

载荷状况m/kghg/ma/mb/mL/m
空载141 80.5101.0641.5962.66
满载173 90.5531.2391.4212.66

Table 2

β values under different braking intensities"

制动强度z0.20.30.40.50.6
分配系数β0.638 30.657 50.676 70.695 90.715 0

Fig.1

Equivalent model of main brake cylinder"

Fig.2

Relationship diagram between piston braking force and piston displacement"

Table 3

Main motor parameters"

参数数值
额定功率/峰值功率/kW15.7/31.4
峰值转矩/(N?m200
额定转速/最高转速/(r?min-11 500/6 000

Fig.3

Structure diagram of dynamic coordinated control"

Fig.4

Structure diagram of fuzzy PID controller"

Table 4

Fuzzy PID rule base"

E/ECNBNMNSZOPSPMPB
NBPB/NBPB/NBPB/NMPM/NMPB/NSPB/ZOPB/ZO
/PS/NS/NB/NB/NB/NM/PS
NMPB/NBPB/NBPM/NMPM/NSPM/NSPM/ZOPS/ZO
/PS/NS/NB/NM/NM/NS/ZO
NSPM/NBPM/NMPM/NSPS/NSPS/ZOPS/PSPS/PS
/ZO/NS/NM/NM/NS/NS/ZO
ZOPM/NMPM/NMPS/NSZO/ZOPS/PSPM/PMPM/PM
/ZO/NS/NS/NS/NS/NS/ZO
PSPS/NMPS/NSZO/ZOPS/PSPS/PSPM/PMPM/PB
/ZO/ZO/ZO/ZO/ZO/ZO/ZO
PMPM/ZOPM/ZOPS/PSPS/PSPM/PMPM/PBPB/PB
/PB/PS/PS/PS/PS/PS/PB
PBPB/ZOPB/ZOPB/PSPM/PMPM/PMPB/PBPB/PB
/PB/PM/PM/PM/PS/PS/PB

Fig.5

Semi-physical simulation experiment platform"

Fig.6

Simulation results of motor withdrawal under constant braking intensity"

Fig.7

Simulation results of motor withdrawal under variable braking intensity"

Fig.8

Simulation results of motor addition under constant braking intensity"

Fig.9

Simulation results of motor addition under variable braking intensity"

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