TY - GEN
T1 - A new algorithm for the SOH estimation of the single battery in battery-power station
AU - Liu, Haolin
AU - Qi, Bojin
AU - Zheng, Minxin
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/10/20
Y1 - 2014/10/20
N2 - 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.
AB - 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.
KW - SOH
KW - battery-power station
KW - lithium iron phosphate battery
KW - self-adaptive algorithm
UR - https://www.scopus.com/pages/publications/84912071053
U2 - 10.1109/ICIEA.2014.6931258
DO - 10.1109/ICIEA.2014.6931258
M3 - 会议稿件
AN - SCOPUS:84912071053
T3 - Proceedings of the 2014 9th IEEE Conference on Industrial Electronics and Applications, ICIEA 2014
SP - 729
EP - 732
BT - Proceedings of the 2014 9th IEEE Conference on Industrial Electronics and Applications, ICIEA 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th IEEE Conference on Industrial Electronics and Applications, ICIEA 2014
Y2 - 9 June 2014 through 11 June 2014
ER -