Deep learning framework for lithium-ion battery state of charge estimation: Recent advances and future perspectives

J Tian, C Chen, W Shen, F Sun, R **ong - Energy Storage Materials, 2023 - Elsevier
Accurate state of charge (SOC) constitutes the basis for reliable operations of lithium-ion
batteries. The deep learning technique, a game changer in many fields, has recently …

[HTML][HTML] Lithium-ion battery data and where to find it

G Dos Reis, C Strange, M Yadav, S Li - Energy and AI, 2021 - Elsevier
Lithium-ion batteries are fuelling the advancing renewable-energy based world. At the core
of transformational developments in battery design, modelling and management is data. In …

A hybrid neural network model with improved input for state of charge estimation of lithium-ion battery at low temperatures

Z Cui, L Kang, L Li, L Wang, K Wang - Renewable Energy, 2022 - Elsevier
Lithium-ion batteries have been used in all aspects of life for environmental and resource
reasons. The accurate estimation of the state of charge (SOC) ensures the proper operation …

A combined state-of-charge estimation method for lithium-ion battery using an improved BGRU network and UKF

Z Cui, L Kang, L Li, L Wang, K Wang - Energy, 2022 - Elsevier
Lithium-ion batteries have become the fastest-growing energy storage equipment available
for extrinsic and intrinsic reasons. State of Charge (SOC) is one of the lithium-ion batteries' …

Battery state-of-charge estimation amid dynamic usage with physics-informed deep learning

J Tian, R **ong, J Lu, C Chen, W Shen - Energy Storage Materials, 2022 - Elsevier
Accurate estimation of state of charge (SOC) constitutes the basis to enable the reliable
operations of lithium-ion batteries. The recent development in deep learning provides an …

[HTML][HTML] A review of machine learning state-of-charge and state-of-health estimation algorithms for lithium-ion batteries

Z Ren, C Du - Energy Reports, 2023 - Elsevier
Vehicle electrification has been proven to be an efficient way to reduce carbon dioxide
emissions and solve the energy crisis. Lithium-ion batteries (LiBs) are considered the …

Estimating state of charge for xEV batteries using 1D convolutional neural networks and transfer learning

A Bhattacharjee, A Verma, S Mishra… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In this paper we propose a one-dimensional convolutional neural network (CNN)-based
state of charge estimation algorithm for electric vehicles. The CNN is trained using two …

Deep learning in the state of charge estimation for li-ion batteries of electric vehicles: A review

D Zhang, C Zhong, P Xu, Y Tian - Machines, 2022 - mdpi.com
As one of the critical state parameters of the battery management system, the state of charge
(SOC) of lithium batteries can provide an essential reference for battery safety management …

State of charge estimation of lithium-ion batteries based on PSO-TCN-Attention neural network

F Li, W Zuo, K Zhou, Q Li, Y Huang - Journal of Energy Storage, 2024 - Elsevier
Lithium-ion batteries are acted as energy storage devices and widely used in many fields,
such as mobile, electric vehicles, and renewable energy sources, etc. However, their …

A comparative study between physics, electrical and data driven lithium-ion battery voltage modeling approaches

Y Liang, A Emadi, O Gross, C Vidal, M Canova… - 2022 - sae.org
This paper benchmarks three different lithium-ion (Li-ion) battery voltage modelling
approaches, a physics-based approach using an Extended Single Particle Model (ESPM) …