Deep learning framework for lithium-ion battery state of charge estimation: Recent advances and future perspectives
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 …
batteries. The deep learning technique, a game changer in many fields, has recently …
[HTML][HTML] Lithium-ion battery data and where to find it
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 …
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
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 …
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
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' …
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
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 …
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 …
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
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 …
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 …
(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
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 …
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
This paper benchmarks three different lithium-ion (Li-ion) battery voltage modelling
approaches, a physics-based approach using an Extended Single Particle Model (ESPM) …
approaches, a physics-based approach using an Extended Single Particle Model (ESPM) …