Driver brake strength identification method based on double fuzzy control

Abstract

The invention provides a driver brake strength identification method based on double fuzzy control. The method comprises the following steps: 1, acquiring a brake pedal pressure signal through a brakepedal pressure sensor, acquiring a wheel angular speed signal through a wheel speed sensor, and acquiring a brake pedal displacement signal through a brake pedal displacement sensor; 2, based on thesignals, obtaining the brake pedal pressure change rate, the wheel linear speed and the wheel deceleration through calculation; 3, preliminarily recognizing the brake intention based on fuzzy controlby taking the brake pedal pressure change rate, the wheel deceleration and the brake pedal displacement as input variables; 4, selecting a sampling period of the brake pedal displacement according tothe recognized driver brake intention; and 5, obtaining the brake strength based on fuzzy control by taking the brake pedal displacement and the brake pedal speed as input variables. According to theinvention, the problems of large pedal speed calculation error and low brake intensity identification precision during emergency brake in the existing research are effectively solved.

Description

technical field [0001] The invention relates to the technical field of electric vehicle braking, in particular to a method for identifying driver braking strength based on double fuzzy control. Background technique [0002] When an electric vehicle brakes, by accurately identifying the driver's braking intention, it is helpful to efficiently complete the control of the electric vacuum booster system and the distribution of the braking force of the braking energy recovery system, thereby ensuring the braking efficiency of the electric vehicle, Braking safety can effectively improve the economy of the whole vehicle, so for electric vehicles, the accuracy of driver's braking intention recognition is very important. The specific introduction is as follows from two aspects: [0003] 1) With the increasingly serious environmental pollution and energy security issues, electric vehicles are getting more and more attention. The braking energy recovery system is one of the key means o...

AI Technical Summary

Problems solved by technology

[0005] At present, most of the identification methods of the driver's braking intensity directly use the brake pedal displacement and the brake pedal speed as input variables. According to the previous research, there are generally large errors in the calculation of the pedal speed during emergency braking. Low precision and other problems, and a method for identifying driver's braking intensity based on double fuzzy control proposed by the present invention can effectively solve the above problems, and has strong innovation and practical value

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