VII. CONCLUSION
This paper has presented the RBS of EVs which are driven by the BLDC motor. The performance of the EVs’ regenerative brake system has been realized by our control scheme
which has been implemented both in the simulation and in the experiments. By combining fuzzy control and PID control methods which are both sophisticated methods, RBS can
distribute the mechanical braking force and electrical braking force dynamically. PID control is a very popular method in electric car control, but it is difficult to obtain a precise brake
current. Braking force is affected by many influences such as SOC, speed, brake strength, and so on. In this paper, we have chosen the three most important factors: SOC, speed, and brake
strength as the fuzzy control input variables. We have found that RBS can obtain appropriate brake current, which is used to produce brake torque. At the same time, we have adopted
PID control to adjust the BLDC motor PWM duty to obtain the constant brake torque. PID control is faster than fuzzy control, so the two methods combined together can realize the smooth transitions. Similar results are obtained from the experimental studies. Therefore, it can be concluded that this RBS has the ability to recover energy and ensure the safety of braking in different situations.