期刊
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
卷 61, 期 10, 页码 5798-5808出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIE.2014.2300059
关键词
Brushless dc (BLDC) motor; fuzzy control; proportional-integral-derivative (PID) control; regenerative braking system (RBS)
资金
- National Natural Science Foundation of China [61321003, 61075065, 60774045, U1134108]
- Ph.D. Programs Foundation of the Ministry of Education of China [20110162110041]
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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