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Fuzzy Logic based Energy Management Strategy for Fuel Cell Hybrid Electric Vehicle

机译:基于模糊逻辑的燃料电池混合动力汽车能源管理策略

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Compared to other transportation technologies, fuel cell hybrid electric vehicles have been widely considered as one of the most promising alternatives for transport applications, due to their zero-emission, low noise, and high efficiency. This paper presents an energy management strategy for a hybrid electric vehicle powered by a fuel cell as the main source and Li-Ion battery as a secondary source. Our proposed approach is based on fuzzy logic and aims to decrease hydrogen consumption while increasing the durability of power sources by respecting their dynamic constraints as well as the battery’s state of charge. The fuzzy logic controller takes as inputs the load power and the battery state of charge and outputs the fuel cell power. The simulation model of the hybrid electric vehicle and its energy management strategy are established using MATLAB/Simulink. The simulation results show the correct functioning of our model and demonstrate that the proposed control strategy shows a good performance in improving fuel economy and the effective distribution of energy between sources.
机译:与其他运输技术相比,燃料电池混合动力汽车因其零排放,低噪音和高效率而被广泛认为是运输应用中最有希望的替代品之一。本文提出了一种混合动力汽车的能源管理策略,该混合动力汽车以燃料电池为主要动力,锂离子电池为辅助动力。我们提出的方法基于模糊逻辑,旨在通过尊重动力源的动态约束以及电池的充电状态,在减少氢耗的同时提高动力源的耐用性。模糊逻辑控制器将负载功率和电池的充电状态作为输入,并输出燃料电池功率。利用MATLAB / Simulink建立了混合动力汽车的仿真模型及其能量管理策略。仿真结果证明了我们模型的正确功能,并证明了所提出的控制策略在改善燃油经济性和能源在能源之间的有效分配方面显示出良好的性能。

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