[HTML][HTML] Overview of batteries and battery management for electric vehicles
Popularization of electric vehicles (EVs) is an effective solution to promote carbon neutrality,
thus combating the climate crisis. Advances in EV batteries and battery management …
thus combating the climate crisis. Advances in EV batteries and battery management …
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 …
[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 …
State of health estimation of lithium-ion batteries based on Mixers-bidirectional temporal convolutional neural network
Accurate state of health (SOH) estimation is essential for designing a safe and reliable
battery management systems (BMS). Although data-driven methods have achieved great …
battery management systems (BMS). Although data-driven methods have achieved great …
Remaining useful life and state of health prediction for lithium batteries based on empirical mode decomposition and a long and short memory neural network
Accurate estimation and prediction of the state of health (SOH) and remaining useful life
(RUL) are crucial for battery management systems, which have an important role in the field …
(RUL) are crucial for battery management systems, which have an important role in the field …
State of health prediction of lithium-ion batteries based on machine learning: Advances and perspectives
Accurate state of health (SOH) prediction is significant to guarantee operation safety and
avoid latent failures of lithium-ion batteries. With the development of communication and …
avoid latent failures of lithium-ion batteries. With the development of communication and …
Artificial Intelligence-based health diagnostic of Lithium-ion battery leveraging transient stage of constant current and constant voltage charging
State of health (SOH) estimation is essential to the health diagnostic of lithium-ion battery.
The data-driven approach with charging feature extraction is promising for online SOH …
The data-driven approach with charging feature extraction is promising for online SOH …
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 …
State of health estimation for lithium-ion battery based on energy features
D Gong, Y Gao, Y Kou, Y Wang - Energy, 2022 - Elsevier
There is a recognized need to forecast lithium-ion batteries' state of health (SOH) to
guarantee their safety and reliability. However, the selected health indicators highly …
guarantee their safety and reliability. However, the selected health indicators highly …
Remaining useful life and state of health prediction for lithium batteries based on differential thermal voltammetry and a deep-learning model
B Ma, S Yang, L Zhang, W Wang, S Chen, X Yang… - Journal of Power …, 2022 - Elsevier
Lithium-ion batteries (LIBs) are widely used in the assembly of battery packs for electric
vehicles and energy storage grids due to their high power density, low self-discharge rate …
vehicles and energy storage grids due to their high power density, low self-discharge rate …