A method for state-of-charge estimation of lithium-ion batteries based on PSO-LSTM

Innovative lumped-battery model for state of charge estimation of lithium-ion batteries under various ambient temperatures

(2021) Minhwan Seo et al.   ENERGY

State of charge estimation of lithium-ion battery using denoising autoencoder and gated recurrent unit recurrent neural network

(2021) Junxiong Chen et al.   ENERGY

State of charge estimation of lithium-ion batteries using hybrid autoencoder and Long Short Term Memory neural networks

(2020) Mohammad Fasahat et al.   JOURNAL OF POWER SOURCES

Online capacity estimation of lithium-ion batteries with deep long short-term memory networks

(2020) Weihan Li et al.   JOURNAL OF POWER SOURCES

Elman neural network using ant colony optimization algorithm for estimating of state of charge of lithium-ion battery

(2020) Xiaobo Zhao et al.   Journal of Energy Storage

State-of-charge estimation of lithium-ion batteries based on gated recurrent neural network

(2019) Fangfang Yang et al.   ENERGY

Stacked bidirectional long short-term memory networks for state-of-charge estimation of lithium-ion batteries

(2019) Chong Bian et al.   ENERGY

A deep learning method for online capacity estimation of lithium-ion batteries

(2019) Sheng Shen et al.   Journal of Energy Storage

Adaptive sliding mode observers for lithium-ion battery state estimation based on parameters identified online

(2018) Bo Ning et al.   ENERGY

Incremental capacity analysis and differential voltage analysis based state of charge and capacity estimation for lithium-ion batteries

(2018) Linfeng Zheng et al.   ENERGY

An Adaptive Square Root Unscented Kalman Filter Approach for State of Charge Estimation of Lithium-Ion Batteries

(2017) et al.   Energies

A new neural network model for the state-of-charge estimation in the battery degradation process

(2014) LiuWang Kang et al.   APPLIED ENERGY