Method for estimating state of charge of series battery system

The invention discloses a method for estimating the state of charge of a series battery system, and the method comprises the steps: building a series battery system model through combining the parameters of a battery monomer model and the working characteristics of a series circuit, and obtaining a space state equation through the series battery system model, performing state estimation through an adaptive unscented Kalman filter (AUKF) module with a sliding window in combination with the predicted voltage Ub and the online detection voltage to obtain a state estimation value SOCb; screening off-line data of the single battery through an inconsistency detector to obtain a voltage U, and combining the voltage U with an on-line detection voltage value to obtain a charge state compensation value delta SOCb through a parameter calibrator; and finally, superposing the SOCb and the [delta] SOCb to obtain calibrated SOCr, further updating the battery system model to obtain the battery system SOCb at the next moment,