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State of charge estimation of a LiFePO4 battery: A dual estimation approach incorporating open circuit voltage hysteresis

机译:LiFePO4电池充电状态估计:包含开路电压滞后的双重估计方法

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In recent years, lithium iron phosphate batteries have become widespread energy sources for high-power automotive and storage applications. The efficient use of such applications require an accurate information about the battery's state of charge. Unfortunately, the battery's open circuit voltage shows a nonlinear and in wide areas flat dependence on the state of charge and is significantly influenced by hysteresis phenomena. As a result, the unique determination of the state of charge using the open circuit voltage is hampered. This work deals with a dual estimation approach utilizing a sequential Monte-Carlo method in connection with a marginalization technique to provide an accurate estimation of the battery's state of charge. In order to circumvent the hysteresis induced ambiguous mapping between the state of charge and the open circuit voltage, a nonlinear hysteresis state is introduced.
机译:近年来,磷酸铁锂电池已成为大功率汽车和存储应用的广泛能源。要有效利用这些应用程序,需要有关电池充电状态的准确信息。不幸的是,电池的开路电压表现出非线性,并且在大范围内与充电状态呈平坦关系,并且受磁滞现象的影响很大。结果,妨碍了使用开路电压唯一确定充电状态。这项工作涉及一种利用顺序蒙特卡洛方法结合边缘化技术的双重估计方法,以提供对电池充电状态的准确估计。为了避免磁滞引起的电荷状态和开路电压之间的模糊映射,引入了非线性磁滞状态。

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