[HTML][HTML] A critical review of improved deep learning methods for the remaining useful life prediction of lithium-ion batteries
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 …
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
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 …
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
Unmanaged cell inconsistency may cause accelerated battery degradation or even thermal
runaway accidents in electric vehicles (EVs). Accurate cell inconsistency evaluation is a …
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
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 …
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
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 …
popular research topics in recent years. Numerous challenges remain in several aspects …
Feature fusion-based inconsistency evaluation for battery pack: Improved Gaussian mixture model
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 …
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
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 …
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 …
(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 …
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 …
overall performance of the battery pack. In order to build an accurate battery pack model, we …