Health prognostics for lithium-ion batteries: mechanisms, methods, and prospects
Lithium-ion battery aging mechanism analysis and health prognostics are of great
significance for a smart battery management system to ensure safe and optimal use of the …
significance for a smart battery management system to ensure safe and optimal use of the …
[HTML][HTML] Thermal state monitoring of lithium-ion batteries: Progress, challenges, and opportunities
Transportation electrification is a promising solution to meet the ever-rising energy demand
and realize sustainable development. Lithium-ion batteries, being the most predominant …
and realize sustainable development. Lithium-ion batteries, being the most predominant …
An improved CNN-LSTM model-based state-of-health estimation approach for lithium-ion batteries
Abstract Accurate SOH (State of Health) estimation is one of the key technologies to ensure
the safe operation of lithium-ion batteries. When predicting SOH, efficient data feature …
the safe operation of lithium-ion batteries. When predicting SOH, efficient data feature …
[HTML][HTML] Transfer learning for battery smarter state estimation and ageing prognostics: Recent progress, challenges, and prospects
With the advent of sustainable and clean energy transitions, lithium-ion batteries have
become one of the most important energy storage sources for many applications. Battery …
become one of the most important energy storage sources for many applications. Battery …
Deep feature extraction in lifetime prognostics of lithium-ion batteries: Advances, challenges and perspectives
The wide application of lithium-ion batteries makes their lifecycle prognosis a challenging
and hot topic in the battery management research field. Feature extraction is a key step for …
and hot topic in the battery management research field. Feature extraction is a key step for …
[HTML][HTML] State of health estimation of lithium-ion batteries with a temporal convolutional neural network using partial load profiles
An accurate aging forecasting and state of health estimation is essential for a safe and
economically valuable usage of lithium-ion batteries. However, the non-linear aging of …
economically valuable usage of lithium-ion batteries. However, the non-linear aging of …
Applications of artificial neural network based battery management systems: A literature review
Lithium-ion batteries have gained significant prominence in various industries due to their
high energy density compared to other battery technologies. This has led to their …
high energy density compared to other battery technologies. This has led to their …
Machine learning enables rapid state of health estimation of each cell within battery pack
Q Yu, Y Nie, S Guo, J Li, C Zhang - Applied Energy, 2024 - Elsevier
The health and safety of the battery pack are directly influenced by the state of health of its
cells. However, due to the aging inconsistency among cells and the limited measurability of …
cells. However, due to the aging inconsistency among cells and the limited measurability of …
[HTML][HTML] Battery health prognostic with sensor-free differential temperature voltammetry reconstruction and capacity estimation based on multi-domain adaptation
Battery health prognostic is a key part of battery management used to ensure safe and
optimal usage. A novel method for end-to-end sensor-free differential temperature …
optimal usage. A novel method for end-to-end sensor-free differential temperature …
Optimal dispatch approach for second-life batteries considering degradation with online SoH estimation
In light of upcoming electric vehicle (EV) battery retirement issues, second-life batteries
(SLBs) have received increasing attention for their ability to extend the life-span of existing …
(SLBs) have received increasing attention for their ability to extend the life-span of existing …