Journal of Jilin University(Engineering and Technology Edition) ›› 2021, Vol. 51 ›› Issue (2): 406-413.doi: 10.13229/j.cnki.jdxbgxb20191003

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Electronic hydraulic brake power system control strategy based on driver intention recognition

Wei-da WANG1,2(),Yan-jie WU1,2,Jia-lei SHI3,Liang LI3,4   

  1. 1.School of Mechanical Engineering，Beijing Institute of Technology，Beijing 100081，China
    2.National Key Lab of Vehicular Transmission，Beijing Institute of Technology，Beijing 100081，China
    3.National Key Laboratory of Automotive Safety and Energy，Tsinghua University，Beijing 100084，China
    4.School of Vehicle and Mobile，Tsinghua University，Beijing 100084，China
  • Received:2019-11-02 Online:2021-03-01 Published:2021-02-09

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Abstract:

In order to give the driver better braking experience on the basis of ensuring safety， the driver’s braking intention is identified according to the pressure of the brake master cylinder and the rate of pressure change. First， the braking intention is divided into conventional deceleration and emergency braking. Then， two control strategies， current closed-loop control and active pressure control， are designed respectively. The two control strategies were verified by real car experiments. The experimental results show that： under active pressure control mode， the brake master cylinder pressure can quickly follow the target pressure. In the current closed-loop control mode， the booster current can follow the target current well. Compared with the ordinary control strategy， the control strategies designed in this paper can complete the process of building the brake master cylinder faster.

Key words: vehicle engineering, electronic hydraulic braking, driver intention recognition, emergency braking

CLC Number: 

  • U463.52

Fig.1

EHB power system structure diagram"

Fig.2

Control strategy realization based on driver's braking intention identification"

Fig.3

Brake master cylinder pressure membership function"

Fig.4

Output membership function curve"

Table 1

driver's intention identification fuzzy rule table"

dPbPb
SML
SCBCBCB
MCBCBCB
LCBEBEB

Fig.5

Fuzzy inference MAP"

Fig.6

EHB power system control flow chart"

Fig.7

Assisted current curve design"

Fig.8

Electronic emergency brake controller"

Fig.9

Fuzzy PI controller"

Fig.10

Distributed drive experimental vehicle"

Fig.11

Pressure control mode step input curve"

Fig.12

Power current control curve"

Fig.13

Experimental curve of EHB control strategy based on driver intention recognition"

Fig.14

General booster current control test curve"

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