[HTML][HTML] A critical review of improved deep learning methods for the remaining useful life prediction of lithium-ion batteries

S Wang, S Jin, D Bai, Y Fan, H Shi, C Fernandez - Energy Reports, 2021 - Elsevier
As widely used for secondary energy storage, lithium-ion batteries have become the core
component of the power supply system and accurate remaining useful life prediction is the …

Review on state-of-health of lithium-ion batteries: Characterizations, estimations and applications

S Yang, C Zhang, J Jiang, W Zhang, L Zhang… - Journal of Cleaner …, 2021 - Elsevier
Abstract State-of-health (SOH) monitoring of lithium-ion batteries plays a key role in the
reliable and safe operation of battery systems. Influenced by multiple factors, SOH is an …

A novel consistency evaluation method for series-connected battery systems based on real-world operation data

Q Wang, Z Wang, L Zhang, P Liu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Unmanaged cell inconsistency may cause accelerated battery degradation or even thermal
runaway accidents in electric vehicles (EVs). Accurate cell inconsistency evaluation is a …

Lithium-ion battery pack robust state of charge estimation, cell inconsistency, and balancing

M Naguib, P Kollmeyer, A Emadi - Ieee Access, 2021 - ieeexplore.ieee.org
Lithium-Ion battery packs are an essential component for electric vehicles (EVs). These
packs are configured from hundreds of series and parallel connected cells to provide the …

A compact and optimized neural network approach for battery state-of-charge estimation of energy storage system

Y Guo, Z Yang, K Liu, Y Zhang, W Feng - Energy, 2021 - Elsevier
Accurate estimations of battery state-of-charge (SOC) for energy storage systems are
popular research topics in recent years. Numerous challenges remain in several aspects …

Feature fusion-based inconsistency evaluation for battery pack: Improved Gaussian mixture model

J Tian, X Liu, C Chen, G Xiao, Y Wang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The large-scale grouping of the battery system leads to the inconsistency of the battery pack.
Aiming at tacking this issue, an inconsistency evaluation method is deployed for the battery …

Prognostics of the state of health for lithium-ion battery packs in energy storage applications

C Chang, Y Wu, J Jiang, Y Jiang, A Tian, T Li, Y Gao - Energy, 2022 - Elsevier
The prognostics of the state of health (SOH) for lithium-ion battery packs in the long-time
scale is critical for the safe and efficient operation of battery packs. In this paper, based on …

State of energy estimation for a series-connected lithium-ion battery pack based on an adaptive weighted strategy

X Li, J Xu, J Hong, J Tian, Y Tian - Energy, 2021 - Elsevier
Due to the inconsistency among battery cells, it is very difficult to estimate the state of energy
(SOE) of a battery pack online. In this paper, an adaptive SOE estimation method for a series …

Correlations of lithium-ion battery parameter variations and connected configurations on pack statistics

L Chang, C Ma, C Zhang, B Duan, N Cui, C Li - Applied Energy, 2023 - Elsevier
Battery cell-to-cell parameter variations and connected configurations jointly affect pack
performance. Knowledge of the quantitative correlations of lithium-ion battery parameter …

Battery pack consistency modeling based on generative adversarial networks

X Fan, W Zhang, B Sun, J Zhang, X He - Energy, 2022 - Elsevier
In working condition of battery packs, the battery pack consistency has a great impact on the
overall performance of the battery pack. In order to build an accurate battery pack model, we …