Enhanced quantile regression long short-term memory hybrid neural network for the state of charge point and interval estimation of lithium-ion batteries.
(2025)
Journal Article
ZOU, Y., WANG, S., HAI, N., BLAABJERG, F., FERNANDEZ, C. and CAO, W. 2025. Enhanced quantile regression long short-term memory hybrid neural network for the state of charge point and interval estimation of lithium-ion batteries. Energy [online], In Press. Available from: https://doi.org/10.1016/j.energy.2025.137201
The state of charge (SOC) estimation accuracy of lithium-ion batteries directly affects the reliability and management efficiency of clean energy storage systems. However, due to the nonlinear characteristics of batteries and complex working conditio... Read More about Enhanced quantile regression long short-term memory hybrid neural network for the state of charge point and interval estimation of lithium-ion batteries..