Power battery SOC (state of charge) estimating device, vehicle and power battery SOC estimating method

The invention discloses a power battery SOC (state of charge) estimating device based on an improved particle-swarm-optimization fuzzy Kalman filtering algorithm, a vehicle and a power battery SOC estimating method. The power battery SOC estimating device comprises components connected to a power battery. The components include a microcontroller for recording the charging and discharging time of the power battery, a temperature sensor for measuring the temperature of the power battery, a current sensor for measuring the charging current of the power battery, and a voltage sensor for measuringthe discharging voltage of a rechargeable battery. The microcontroller is connected to the temperature sensor, the current sensor and the voltage sensor. The microcontroller determines a membership function of a fussy system according to a particle swarm algorithm, and adjusts a covariance matrix of measured noise in real time through fuzzy reasoning to change Kalman gain and correct the state estimation value of the powe