基于EMB的防抱死制动系统研究OA

The electro-mechanical brake(EMB)system represents the future development trend of braking systems for electric vehicles.The anti-lock braking system(ABS),as a necessary active safety component in braking systems,significantly enhances the braking safety performance of automobiles.In this study,a mathematical model of the braking system was established in MATLAB/Simulink,and an anti-lock braking system(ABS)incorporating a fuzzy proportion-integration-differentiation(PID)controller was developed.Computational analyses were conducted under three representative road conditions,namely dry asphalt,loose gravel,and icy/snow-covered surfaces,to determine a common optimal slip ratio applicable to all three scenarios.The performance of the fuzzy PID ABS system was simulated and compared with that of a conventional PID control method.The results indicate that the ABS equipped with the fuzzy PID controller can stabilize the tire slip rate at around 0.2 within 1.50 seconds after the braking starts,whereas the conventional ABS fails to maintain a stable slip rate during the braking process.Furthermore,under emergency braking from an initial speed of 20 m/s,the vehicle equipped with the fuzzy PID controller came to a complete stop in 4.67 seconds,with a braking distance of 44.050 meters.Compared with the conventional ABS,the proposed controller reduced the braking time by 3.71%and shortened the braking distance by 10.73%.These results demonstrate that the fuzzy PID controller provides significantly superior braking performance,compared with both conventional PID control and on-off control,offering a useful reference for the development of EMB systems.