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An overview of data-driven battery health estimation technology for battery management system
Battery degradation, caused by multiple coupled degradation mechanisms, severely affects
the safety and sustainability of a battery management system (BMS). The battery state of …
the safety and sustainability of a battery management system (BMS). The battery state of …
Analyzing electric vehicle battery health performance using supervised machine learning
Lithium-ion batteries having high energy and power densities, fast depleting cost, and
multifaceted technological improvement lead to the first choice for electric transportation …
multifaceted technological improvement lead to the first choice for electric transportation …
Roadmap for a sustainable circular economy in lithium-ion and future battery technologies
The market dynamics, and their impact on a future circular economy for lithium-ion batteries
(LIB), are presented in this roadmap, with safety as an integral consideration throughout the …
(LIB), are presented in this roadmap, with safety as an integral consideration throughout the …
[HTML][HTML] Review of “grey box” lifetime modeling for lithium-ion battery: Combining physics and data-driven methods
Lithium-ion batteries are a popular choice for a wide range of energy storage system
applications. The current motivation to improve the robustness of lithium-ion battery …
applications. The current motivation to improve the robustness of lithium-ion battery …
State of health estimation of lithium-ion battery with automatic feature extraction and self-attention learning mechanism
Accurate state of health (SOH) estimation is significantly important to ensure the safe and
reliable operation of lithium-ion battery. Most existing data-driven estimation methods are …
reliable operation of lithium-ion battery. Most existing data-driven estimation methods are …
[HTML][HTML] Physics-based model informed smooth particle filter for remaining useful life prediction of lithium-ion battery
Accurately predicting the remaining useful life (RUL) of lithium-ion batteries is essential for
battery management systems (BMS) as rapid capacity declines and failure can impact …
battery management systems (BMS) as rapid capacity declines and failure can impact …
Design of cost-based sizing and energy management framework for standalone microgrid using reinforcement learning
The standalone photovoltaic-battery energy storage (PV-BES) microgrid has gained
substantial interest recently due to its ability to provide uninterrupted power to consumers in …
substantial interest recently due to its ability to provide uninterrupted power to consumers in …
Electric vehicle battery capacity degradation and health estimation using machine-learning techniques: A review
Lithium-ion batteries have an essential characteristic in consumer electronics applications
and electric mobility. However, predicting their lifetime performance is a difficult task due to …
and electric mobility. However, predicting their lifetime performance is a difficult task due to …
An optimized random forest regression model for li-ion battery prognostics and health management
G Wang, Z Lyu, X Li - Batteries, 2023 - mdpi.com
This study proposes an optimized random forest regression model to achieve online battery
prognostics and health management. To estimate the battery state of health (SOH), two …
prognostics and health management. To estimate the battery state of health (SOH), two …
Multilevel data-driven battery management: From internal sensing to big data utilization
A battery management system (BMS) is essential for the safety and longevity of lithium-ion
battery (LIB) utilization. With the rapid development of new sensing techniques, artificial …
battery (LIB) utilization. With the rapid development of new sensing techniques, artificial …