基于模糊控制的电动汽车再生制动系统的研究

Regenerative Braking System of Electric Vehicle Based on Fuzzy Control

为了实现在具有良好的刹车性能的前提下,降低能源的消耗量和延长电动汽车的行驶里程,论文提出了一种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,刹车力矩由PID控制器实控制。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。实验和仿真结果验证了方法的有效性。

To improve energy usage efficiency and prolong the driving distance of electric vehicles（ EVs） under the condition of ensuring braking quality,a creative regenerative braking system（ RBS） is presented. 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. 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. The simulation results are showed by analyzing battery state of charge（ SOC）,braking force and DC bus current under the environment of MATLAB and SIMULINK. The simulation results verified that the proposed method is realizable for practical implementation.