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A battery management system(BMS) which contains state of charge(SOC) determination,battery charging control and its optimization,and cell balancing is proposed.Thevenin’s model having a RC network characterizing the battery polarization is used for SOC determination.The polarization voltage of the battery model is identified using the nonlinear least square technique.The paper presents a new SOC definition method considering the SOC limit of each cell for battery pack in series.The relationship between the battery current and polarization voltage is analyzed.And then the battery charging approach that the charging current can be adaptively adjusted by the polarization voltage control system is investigated based on fuzzy logic control theory.Cell balancing control strategy is also proposed based on the principle of the maximum use for the capacity and energy of the battery pack.
Which contains state of charge (SOC) determination, battery charging control and its optimization, and cell balancing is proposed. Thevenin’s model having a RC network characterizing the battery polarization is used for SOC determination. The polarization voltage of the battery model is identified using the nonlinear least square technique. paper presented a new SOC definition method considering the SOC limit of each cell for battery pack in series. The relationship between the battery current and the polarization voltage is analyzed. And then the battery charging approach that the charging current can be adaptively adjusted by the polarization voltage control system is based based on fuzzy logic control theory. Cell balancing control strategy is also proposed based on the principle of the maximum use for the capacity and energy of the battery pack.