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Quantifying electric vehicle battery degradation from driving vs. V2G services

机译:量化从驾驶服务到V2G服务的电动汽车电池退化

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Concerns about electric vehicle (EV) battery degradation hinders the implementation of Vehicle-to-Grid(V2G) technology. In this paper, a methodology is proposed to quantify EV battery degradation from driving only vs. driving and V2G services, based on a semi-empirical lithium-ion battery degradation model. A detailed EV battery pack thermal model and EV powertrain model are utilized to capture the battery temperature and working parameters including current, internal resistance and state-of-charge (SOC). We use the proposed method to simulate the battery degradation of three EVs for ten years. Simulation results show that grid discharge at power rates typical for vehicle charging and discharging will have only minor effects on battery degradation in comparison to the degradation incurred from driving and calendar aging.
机译:有关电动汽车(EV)电池退化的担忧阻碍了Vehicle-to-Grid(V2G)技术的实施。在本文中,基于半经验锂离子电池退化模型,提出了一种方法,用于从仅驾驶与驾驶以及V2G服务之间量化EV电池退化。详细的EV电池组热模型和EV动力总成模型用于捕获电池温度和工作参数,包括电流,内部电阻和充电状态(SOC)。我们使用提出的方法来模拟三个电动汽车的电池退化十年。仿真结果表明,与行驶和日历老化引起的退化相比,以车辆充电和放电的典型电费率进行的电网放电只会对电池退化产生很小的影响。

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