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Energy-Regenerative Fuzzy Sliding Mode Controller Design for Ultracapacitor-Battery Hybrid Power of Electric Vehicle

机译:电动汽车超级电容器-电池混合动力的能量再生模糊滑模控制器设计

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In order to deal with two major problems of electric vehicle (EV): the short driving range and the short life of batteries, a hybrid power system was designed and applied to the EV. It was composed of an ultracapacitor with high-specific power and long life, four lead-acid batteries with high-specific energy, and a bi-directional DC/DC converter. To improve the stability and reliability of the system, based on researching energy-regenerative process and fuzzy sliding mode controller (Fuzzy-SMC), the energy-regenerative mathematical model of the system was established, and the energy-regenerative Fuzzy-SMC for the system was designed. The experimental results show that the Fuzzy-SMC is superior to PID controller at response speed, steady-state tracking error and resisting perturbation. Additionally, comparing with the EV which uses batteries as its single power source, the ultracapacitor-battery hybrid power system can recover more energy, lengthen the life of batteries, and increase the driving range by 36.8% with PID controller, and by 42.1% with Fuzzy-SMC.
机译:为了解决电动汽车(EV)的两个主要问题:行驶距离短和电池寿命短,设计了一种混合动力系统并将其应用于EV。它由具有高比功率和长寿命的超级电容器,四个具有高比能的铅酸电池和一个双向DC / DC转换器组成。为了提高系统的稳定性和可靠性,在研究能量再生过程和模糊滑模控制器(Fuzzy-SMC)的基础上,建立了系统能量再生数学模型,并为系统设计了能量再生Fuzzy-SMC。系统的设计。实验结果表明,Fuzzy-SMC在响应速度,稳态跟踪误差和抗扰动方面均优于PID控制器。此外,与使用电池作为单一电源的电动汽车相比,超级电容器-电池混合动力系统可以回收更多的能量,延长电池的寿命,使用PID控制器可以将其续航里程提高36.8%,而使用PID控制器可以将其续航里程提高42.1%。模糊SMC。

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