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标题：Regenerative Braking System of Electric Vehicle Driven By BLDC Motor Using Neuro-Fuzzy and PID
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作者：V.Sindhuja ; G.Ranjitham
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2014
卷号：3
期号：12
页码：17847
DOI：10.15680/IJIRSET.2014.0312015
出版社：S&S Publications
摘要：Regenerative braking can improve energy usage efficiency and can extend the driving distance of Electric Vehicles. Innovative Regenerative Braking System of EV driven by BLDC motor is recommended. In this technique, Brushless DC motor is controlled b y traditional Proportional Integral Derivative control, and the braking force distribution is done by ANFIS. This reasoning is quite sluggish compared to PID. Thus PID is used to control the negative torque of the motor when brake is pressed. This fresh elucidation has improved performance in regard to insight, strength, and efficiency. The suggested system grants the simulation results by analysing the speed of mo tor with its braking force and the vehicle's battery charge under the IDE of Simulink. The results illustrates that the Neuro- fuzzy logic and PID control can recognize the regenerative braking can prolong the driving distance of EVs under the condition of confirming quality o f braking co ndition. Eventually, the proposed method is proved using MATLAB R2014a software.
关键词：Regenerative Braking System (RBS); Electric Vehicle (EV); Brushless DC (BLDC) motor; Adaptive ; Neuro-Fuzzy Inference System (ANFIS); ProportionalIntegral Derivative (PID)