基于模糊控制的电动汽车再生制动系统的研究

再生制动能够降低能源的消耗量和延长电动汽车的行驶里程。它广泛的受到诸多学者的关注。本文提出了一个新颖的再生制动控制系统。该系统基于无刷直流电机的控制特性和电动汽车刹车时的制动特性，直流无刷电机采用传统的PID控制，刹车力采用模糊逻辑控制，刹车力矩可以由PID控制器实时的控制。通过Matlab/Simulink软件，仿真分析了电池的充电状态、制动力和直流侧线电流。实验和仿真结果均证实了在具有良好的刹车性能的前提下，该方法可以实现良好的再生制动性能和延长电动汽车的行驶里程，在工程上更加易于实现也具有更好的鲁棒性和更高的效率。

Regenerative braking system of electric vehicle based on fuzzy control

Regenerative braking can improve energy usage efficiency and prolong the driving distance of electric vehicles (EVs). A creative regenerative braking system(RBS) is presented in this paper. The RBS is adapted to brushless DC (BLDC) motor, and it emphasizes on the distribution of the braking force,as well as BLDC motor control. In this paper, BLDC motor control utilizes the traditional PID control and the distribution of braking force adopts fuzzy logic control. Because the fuzzy reasoning is slower than PID control, the braking torque can be real-time controled by PID control. In comparison to other solutions, the new solution has better performance in regard to realization, robustness and efficiency. Then, this paper presents the simulation results by analyzing battery state of charge(SOC), braking force and DC bus current under the environment of MATLAB and SIMULINK. The simulation results show that the fuzzy logic and PID control can realize the egenerative braking and prolong the driving distance of EVs under the condition of ensuring braking quality. At last, it is verified that the proposed method is realizable for practical implementation.