[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 …
A review of safety strategies of a Li-ion battery
PV Chombo, Y Laoonual - Journal of Power Sources, 2020 - Elsevier
Since the burst of sales of electric vehicles in the world market, there have been frequently
reported fire accidents throughout the globe. These accidents have led into the demise of …
reported fire accidents throughout the globe. These accidents have led into the demise 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 …
[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 …
Developing an online data-driven approach for prognostics and health management of lithium-ion batteries
Lithium-ion batteries have achieved dominance in energy storage systems. Meanwhile,
there is a demand for the reliability of lithium-ion batteries. Battery prognostics and health …
there is a demand for the reliability of lithium-ion batteries. Battery prognostics and health …
Online state-of-health estimation for Li-ion battery using partial charging segment based on support vector machine
The online estimation of battery state-of-health (SOH) is an ever significant issue for the
intelligent energy management of the autonomous electric vehicles. Machine-learning …
intelligent energy management of the autonomous electric vehicles. Machine-learning …
State-of-health estimation of lithium-ion batteries by fusing an open circuit voltage model and incremental capacity analysis
The state of health (SOH) is a vital parameter enabling the reliability and life diagnostic of
lithium-ion batteries. A novel fusion-based SOH estimator is proposed in this study, which …
lithium-ion batteries. A novel fusion-based SOH estimator is proposed in this study, which …
Lithium-ion battery state of health estimation using the incremental capacity and wavelet neural networks with genetic algorithm
Accurate state of health (SOH) is a crucial factor for the regular operation of the electric
vehicle. Compared with the equivalent circuit methods, the data-driven methods do not rely …
vehicle. Compared with the equivalent circuit methods, the data-driven methods do not rely …
Towards machine-learning driven prognostics and health management of Li-ion batteries. A comprehensive review
Prognostics and health management (PHM) has emerged as a vital research discipline for
optimizing the maintenance of operating systems by detecting health degradation and …
optimizing the maintenance of operating systems by detecting health degradation and …
Incremental capacity analysis based adaptive capacity estimation for lithium-ion battery considering charging condition
B Jiang, H Dai, X Wei - Applied Energy, 2020 - Elsevier
Incremental capacity analysis (ICA) has been widely employed to investigate the
degradation mechanism and perform the capacity estimation of lithium-ion batteries …
degradation mechanism and perform the capacity estimation of lithium-ion batteries …