再生制动器
PID控制器
直流电动机
发动机制动
控制理论(社会学)
MATLAB语言
计算机科学
电动汽车
汽车工程
稳健性(进化)
扭矩
制动斩波器
控制工程
工程类
电压
制动器
控制(管理)
电气工程
温度控制
操作系统
功率(物理)
人工智能
基因
化学
热力学
量子力学
生物化学
物理
作者
Xiaohong Nian,Fei Peng,Hang Zhang
标识
DOI:10.1109/tie.2014.2300059
摘要
Regenerative braking can improve energy usage efficiency and can 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 proportional-integral-derivative (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 controlled 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 the battery state of charge, 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 regenerative braking and can 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.
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