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Quantifying electric vehicle battery degradation from driving vs. V2G services

机译:量化电动车辆电池从驾驶Vs. V2G服务中降解

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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:关于电动车辆(EV)电池劣化的担忧阻碍了车辆到网格(V2G)技术的实施。在本文中,提出了一种方法,以基于半经验锂离子电池劣化模型来量化仅驱动VS驾驶和V2G服务的EV电池劣化。详细的EV电池组热模型和EV动力总成型号用于捕获电池温度和工作参数,包括电流,内阻和充电状态(SOC)。我们使用所提出的方法来模拟三个电池的电池劣化十年。仿真结果表明,与驾驶和日历老化产生的降解相比,电力速率的电力率典型的电流率仅对电池劣化进行了微小影响。

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