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Fuzzy logic control approach to the energy management of Parallel Hybrid Electric Vehicles

机译:并联混合动力汽车能源管理的模糊逻辑控制方法

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摘要

In this paper, the author proposed an energy management strategy of the Parallel Hybrid Electric Vehicle (PHEV) was that based on the fuzzy logic control for torque distribution between motor and engine. The value D which is the difference value between the torque of the vehicle requirements Tr and the engine goal requires torque Te, and the battery state of charge (SOC) as two of the fuzzy controller input variables and the torque control coefficient C is the output variable of the fuzzy controller. With three different road conditions, simulated respectively between the rule-based of electric assist control strategy and the fuzzy logic control strategies by using the electric vehicle software ADVISOR. The result shows that the design of fuzzy logic energy management strategy can easily control the engine and motor, significantly increasing fuel economy performance and reduced exhaust emissions.
机译:在本文中,作者提出了一种基于模糊逻辑控制的混合动力电动汽车(PHEV)的能量管理策略,以实现电动机和发动机之间的扭矩分配。作为车辆要求Tr的扭矩与发动机目标的扭矩之间的差值的值D是扭矩Te,并且作为模糊控制器输入变量中的两个的电池充电状态(SOC)是扭矩控制系数C的输出。模糊控制器的变量。在三种不同的路况下,分别使用电动汽车软件ADVISOR在基于规则的电动辅助控制策略和模糊逻辑控制策略之间进行仿真。结果表明,模糊逻辑能量管理策略的设计可以轻松地控制发动机和电动机,显着提高燃油经济性并减少废气排放。

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