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An Online State-of-Health Estimation Algorithm for Electric Vehicles through Aging Tendency of Open Circuit Voltage

机译:电动汽车通过老化趋势趋于开路电压的在线状态估计算法

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This paper proposes the online state-of-health (SOH) estimation algorithm for the electric vehicles (EVs) by using the aging tendency of the open circuit voltage (OCV). The proposed algorithm uses the aging tendency of OCV curve analyzed based on NMC-type battery cells which is installed in battery pack for EVs. The analyzed aging tendency of OCV is utilized to estimate the degraded current capacity by extracting OCV in real time with a low pass filter. The proposed algorithm is validated through informative experiment using NMC-type battery cells.
机译:本文通过使用开路电压(OCV)的老化趋势来提出用于电动车辆(EVS)的在线健康状态(SOH)估计算法。所提出的算法使用基于NMC型电池单元的OCV曲线的老化趋势,其安装在EVS的电池组中。使用低通滤波器在实时提取OCV来利用分析的OCV的衰老趋势来估计降低的电流能力。通过使用NMC型电池单元的信息实验验证了所提出的算法。

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