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首页> 外文期刊>WSEAS Transactions on Power Systems >Modeling and analysis of hybrid controller by combining MFB with FLC implemented to ultracapacitor-based electric vehicle
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Modeling and analysis of hybrid controller by combining MFB with FLC implemented to ultracapacitor-based electric vehicle

机译:混合控制器通过将MFB与FLC实现为超容器基电动车辆的建模与分析

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摘要

An optimized energy management strategy is designed for a hybrid energy storage system (HESS) to drive the hybrid electric vehicle (HEV)/electric vehicle (EV). Combination of battery and Ultra-Capacitor (UC) forms the HESS for an HEV/EV which will enhance the acceleration performance of the electric motor, reduced battery charge-discharge cycle and improves the driving range. The main aim of the proposed method is to design a control approach for automatic smooth switching between sources of HESS corresponding to the speed of the motor. To achieve the main objective, a new controller is designed with four math functions and programmed separately corresponding to the speed of the motor termed as MFB controller. The fuzzy logic controller is used to obtain the controlled gate pulses for Uni-directional (UDC) and Bi-directional (BDC) converters, those are placed at the battery and UC end. The MFB and Fuzzy logic controllers work together to attain a smooth transition between the battery and UC related to the speed of the electric motor. Finally, the effectiveness of the control strategy is validated with four modes of operation in MATLAB/Simulink.
机译:为混合动力储能系统(HESS)设计了一种优化的能量管理策略,以驱动混合动力电动汽车(HEV)/电动汽车(EV)。电池和超级电容器(UC)的结合形成了HEV/EV的HESS,这将提高电机的加速性能,减少电池充放电循环,并改善行驶里程。该方法的主要目的是设计一种控制方法,根据电机的速度在HESS源之间自动平滑切换。为了实现这一主要目标,设计了一种具有四个数学函数的新型控制器,并根据电机的转速分别编程,称为MFB控制器。模糊逻辑控制器用于获得放置在电池和UC端的单向(UDC)和双向(BDC)转换器的受控门脉冲。MFB和模糊逻辑控制器协同工作,以实现电池和UC之间与电机速度相关的平稳过渡。最后,在MATLAB/Simulink中通过四种运行模式验证了控制策略的有效性。

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