Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
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 …
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 …
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 …
[HTML][HTML] Predictive health assessment for lithium-ion batteries with probabilistic degradation prediction and accelerating aging detection
Predictive health assessment is of vital importance for smarter battery management to
ensure optimal and safe operations and thus make the most use of battery life. This paper …
ensure optimal and safe operations and thus make the most use of battery life. This paper …
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 …
Open access dataset, code library and benchmarking deep learning approaches for state-of-health estimation of lithium-ion batteries
Great progress has been made in deep learning (DL) based state-of-health (SOH)
estimation of lithium-ion batteries, which helps to provide recommendations for predictive …
estimation of lithium-ion batteries, which helps to provide recommendations for predictive …