Deep learning framework for lithium-ion battery state of charge estimation: Recent advances and future perspectives
Accurate state of charge (SOC) constitutes the basis for reliable operations of lithium-ion
batteries. The deep learning technique, a game changer in many fields, has recently …
batteries. The deep learning technique, a game changer in many fields, has recently …
[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 …
SOC estimation for lithium-ion battery using the LSTM-RNN with extended input and constrained output
J Chen, Y Zhang, J Wu, W Cheng, Q Zhu - Energy, 2023 - Elsevier
The state of charge (SOC) estimation of lithium-ion battery (LIB) based on recurrent neural
network (RNN) has been a popular research due to its suitability for time series data …
network (RNN) has been a popular research due to its suitability for time series data …
Intelligent estimation on state of health of lithium-ion power batteries based on failure feature extraction
H Zuo, J Liang, B Zhang, K Wei, H Zhu, J Tan - Energy, 2023 - Elsevier
In order to provide an accurate and reliable effective state-of-health (SOH) estimation, a
novel hybrid data-driven estimation method by failure feature extraction is proposed. Firstly …
novel hybrid data-driven estimation method by failure feature extraction is proposed. Firstly …
State estimation models of lithium-ion batteries for battery management system: status, challenges, and future trends
The state estimation technology of lithium-ion batteries is one of the core functions elements
of the battery management system (BMS), and it is an academic hotspot related to the …
of the battery management system (BMS), and it is an academic hotspot related to the …
A comprehensive review of the lithium-ion battery state of health prognosis methods combining aging mechanism analysis
Y **ao, J Wen, L Yao, J Zheng, Z Fang, Y Shen - Journal of Energy Storage, 2023 - Elsevier
In the field of new energy vehicles, lithium-ion batteries have become an inescapable
energy storage device. However, they still face significant challenges in practical use due to …
energy storage device. However, they still face significant challenges in practical use due to …
Enhancing precision in PANI/Gr nanocomposite design: robust machine learning models, outlier resilience, and molecular input insights for superior electrical …
This study employs various machine learning algorithms to model the electrical conductivity
and gas sensing responses of polyaniline/graphene (PANI/Gr) nanocomposites based on a …
and gas sensing responses of polyaniline/graphene (PANI/Gr) nanocomposites based on a …
Review of battery state estimation methods for electric vehicles-Part II: SOH estimation
State of Health (SOH) significantly determines the performance and durability of EV
batteries, with Battery Management System (BMS) playing a crucial role in enhancing their …
batteries, with Battery Management System (BMS) playing a crucial role in enhancing their …
Electric vehicle battery pack state of charge estimation using parallel artificial neural networks
Lithium-ion battery (LiB) packs are commonly used for Electric Vehicle (EV) applications.
However, accurate battery pack State of Charge (SOC) estimation is crucial for optimal …
However, accurate battery pack State of Charge (SOC) estimation is crucial for optimal …
A hybrid probabilistic correction model for the state of charge estimation of lithium-ion batteries considering dynamic currents and temperatures
Accurately estimating the state of charge (SOC) of lithium-ion batteries by the battery
management system (BMS) is crucial for safe electric vehicle (EV) operations. This paper …
management system (BMS) is crucial for safe electric vehicle (EV) operations. This paper …