Estimation and Control of ESC Brake-by-wire Pressure Based on Neural Network

doi:10.3901/JME.2025.04.219

Abstract

Abstract: Automotive electronic stability controller(ESC) is one of the key technologies in the field of vehicle active safety. It can not only ensure that the vehicle is in a safe state under conditions such as vehicle braking lock, driving slip, and steering sideslip, but also support control-by-wire demand of advanced driving assistance system(ADAS). Traditional ESC’s control by wire function often requires the installation of wheel cylinder pressure sensors to achieve pressure closed-loop control. In order to reduce the industrialization cost of brake-by-wire based ESC, the pressure estimation method of ESC based on BP neural network is adopted. By analyzing the pressure control mode in the process of ESC brake-by-wire, the hydraulic characteristics of ESC are modeled under different control modes by taking advantage of the strong fitting ability of BP neural network in multi-dimensional data processing, the fitted model can estimate the wheel cylinder pressure under the given ESC solenoid valve and motor control command. At the same time, a PI feedback pressure control strategy based on logical threshold selection is proposed, which uses the pressure estimation results for feedback control to improve the pressure control accuracy. Based on without wheel cylinder pressure sensor, the hardware-in-the-loop bench equipped with an ESC controller and a pump body is tested. The final experimental results show that the ESC brake-by-wire pressure estimation method has high accuracy and satisfies feedback control. At the same time, the accuracy of pressure control is within 0.3 MPa, which meets the demand for brake-by-wire of ADAS and advanced automatic driving, and provides a new idea for low-cost brake-by-wire solutions.

Key words: electronic stability controller, BP neural network, brake-by-wire, pressure estimation and control

CLC Number:

U461

SHAO Dong, YIN Siwei, LI Liang, WANG Xiangyu, WEI Lingtao, ZHOU Daolin. Estimation and Control of ESC Brake-by-wire Pressure Based on Neural Network[J]. Journal of Mechanical Engineering, 2025, 61(4): 219-228.

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