[HTML][HTML] A review of SOH prediction of Li-ion batteries based on data-driven algorithms
As an important energy storage device, lithium-ion batteries (LIBs) have been widely used in
various fields due to their remarkable advantages. The high level of precision in estimating …
various fields due to their remarkable advantages. The high level of precision in estimating …
A comprehensive review of battery modeling and state estimation approaches for advanced battery management systems
With the rapid development of new energy electric vehicles and smart grids, the demand for
batteries is increasing. The battery management system (BMS) plays a crucial role in the …
batteries is increasing. The battery management system (BMS) plays a crucial role in the …
An encoder-decoder fusion battery life prediction method based on Gaussian process regression and improvement
The prediction ability of all traditional machine learning models is limited to a few batteries.
When the RUL of more batteries needs to be predicted, the prediction performance of …
When the RUL of more batteries needs to be predicted, the prediction performance of …
State of health estimation of lithium-ion battery based on improved ant lion optimization and support vector regression
The state of health (SOH) estimation plays an important role in keeping the safe and stable
operation of lithium-ion battery management system (BMS). To solve the problem of low …
operation of lithium-ion battery management system (BMS). To solve the problem of low …
A novel method for state of health estimation of lithium-ion batteries based on improved LSTM and health indicators extraction
Y Ma, C Shan, J Gao, H Chen - Energy, 2022 - Elsevier
State of health (SOH) is a crucial challenge to guarantee the reliability and safety of the
electric vehicles (EVs), due to the complex aging mechanism. A novel SOH estimation …
electric vehicles (EVs), due to the complex aging mechanism. A novel SOH estimation …
[HTML][HTML] A review of non-probabilistic machine learning-based state of health estimation techniques for Lithium-ion battery
Lithium-ion batteries are used in a wide range of applications including energy storage
systems, electric transportations, and portable electronic devices. Accurately obtaining the …
systems, electric transportations, and portable electronic devices. Accurately obtaining the …
Machine learning in state of health and remaining useful life estimation: Theoretical and technological development in battery degradation modelling
Designing and deployment of state-of-the-art electric vehicles (EVs) in terms of low cost and
high driving range with appropriate reliability and security are identified as the key towards …
high driving range with appropriate reliability and security are identified as the key towards …
[HTML][HTML] Concept review of a cloud-based smart battery management system for lithium-ion batteries: Feasibility, logistics, and functionality
Energy storage plays an important role in the adoption of renewable energy to help solve
climate change problems. Lithium-ion batteries (LIBs) are an excellent solution for energy …
climate change problems. Lithium-ion batteries (LIBs) are an excellent solution for energy …
A data-driven approach with uncertainty quantification for predicting future capacities and remaining useful life of lithium-ion battery
Predicting future capacities and remaining useful life (RUL) with uncertainty quantification is
a key but challenging issue in the applications of battery health diagnosis and management …
a key but challenging issue in the applications of battery health diagnosis and management …
A review of the state of health for lithium-ion batteries: Research status and suggestions
H Tian, P Qin, K Li, Z Zhao - Journal of Cleaner Production, 2020 - Elsevier
Lithium-ion batteries (LIBs) have become the mainstream power source for battery electric
vehicles (BEVs) with relatively superior performance. However, LIBs experience battery …
vehicles (BEVs) with relatively superior performance. However, LIBs experience battery …