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Energy and Battery Management of a Plug-In Series Hybrid Electric Vehicle Using Fuzzy Logic

机译:基于模糊逻辑的插电式混合动力汽车的能量和电池管理

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摘要

Fuzzy logic is used to define a new quantity called the battery working state (BWS), which is based on both battery terminal voltage and state of charge (SOC), to overcome the problem of battery over-discharge and associated damage resulting from inaccurate estimates of the SOC. The BWS is used by a fuzzy logic energy-management system of a plug-in series hybrid electric vehicle (HEV) to make a decision on the power split between the battery and the engine, based on the BWS and vehicle power demand, while controlling the engine to work in its fuel economic region. The fuzzy logic management system was tested in real time using an HEV simulation test bench with a real battery in the loop. Simulation results are presented to demonstrate the performance of the proposed fuzzy logic energy-management system under different driving conditions and battery SOCs. The results indicate that the fuzzy logic energy-management system using the BWS was effective in ensuring that the engine operates in the vicinity of its maximum fuel efficiency region while preventing the battery from over-discharging.
机译:模糊逻辑用于基于电池端子电压和充电状态(SOC)定义一个称为电池工作状态(BWS)的新量,以克服电池过放电以及估算不准确导致的相关损坏的问题SOC。插电式混合动力电动汽车(HEV)的模糊逻辑能量管理系统使用BWS来基于BWS和车辆功率需求来决定电池和发动机之间的功率分配,同时进行控制发动机在其燃油经济区工作。模糊逻辑管理系统使用带有真实电池的HEV模拟测试台进行了实时测试。仿真结果表明了所提出的模糊逻辑能量管理系统在不同驾驶条件和电池SOC下的性能。结果表明,使用BWS的模糊逻辑能量管理系统可有效确保发动机在其最大燃油效率区域附近运行,同时防止电池过度放电。

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