Improved K-means clustering-genetic backpropagation modeling for online state-of-charge estimation of lithium-ion batteries adaptive to low-temperature conditions.
(2024)
Journal Article
HAI, N., WANG, S., HUANG, Q., XIE, Y. and FERNANDEZ, C. 2024. Improved K-means clustering-genetic backpropagation modeling for online state-of-charge estimation of lithium-ion batteries adaptive to low-temperature conditions. Journal of energy storage [online], 99(B), article number 113399. Available from: https://doi.org/10.1016/j.est.2024.113399
Accurate state-of-charge (SOC) estimation of lithium-ion batteries (LIBs) in low temperatures is significant to maximize their performance and application. An improved K-means clustering-genetic backpropagation (KMC-GBP) algorithm consisting of five... Read More about Improved K-means clustering-genetic backpropagation modeling for online state-of-charge estimation of lithium-ion batteries adaptive to low-temperature conditions..