Fuzzy control design for regenerative braking of an electric vehicle motor
To enhance the regenerative braking energy of an electric vehicle,the braking force and its distribution methods are analyzed,and the braking effects of the ideal braking force distribution curve(I curve)and the fixed distribution line(β line)are simulated and compared.Fuzzy rules are established based on braking requirements,the motor braking force distribution factor is determined by considering braking intensity,vehicle speed,and battery state of charge.A braking model is built using MATLAB-Simulink to compare the regenerative braking effects of the I curve and β line,and the braking part of the new European driving cycle(NEDC)is used for validation.Simulation results show that at a braking intensity of 0.5,the difference in braking effect between the I curve and the β line is minimal;at a braking intensity of 0.8,the braking effects of the I curve and the β line are identical.When the vehicle speed is 50 km/h and the braking intensity is 0.5,using fuzzy rule control to distribute braking force,the regenerative braking energy of the β line is 8.78%higher than that of the I curve.Under the NEDC conditions,the total braking energy change of the I curve and the β line is consistent,with the regenerative braking energy of the β line being 13.58%higher than that of the I curve.Adopting the β line braking force distribution method can effectively increase motor regenerative braking energy and achieve efficient energy recovery.
NETL
NSTL
万方数据
