A new algorithm for the SOH estimation of the single battery in battery-power station

SOH (state of health) of the single battery is considered to be an important basis for the maintenance and update of battery-power station. Combined with the changing relationship between the battery discharge voltage and some other factors, such as the discharge current, the discharge capacity, the internal resistance of the battery, and the remaining capacity, a new algorithm that can be used for the estimation of each single battery´s SOH is proposed in this paper. Because of the fact that the parameters and the function curves in this algorithm could be obtained by the recursive least square algorithm and BP network, the algorithm can make self-adaptive adjustment even for tiny differences. Through the trial test on the lithium iron phosphate battery power station, it has been verified that the algorithm has high estimation accuracy.