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[HTML][HTML] Battery safety: Machine learning-based prognostics
Lithium-ion batteries play a pivotal role in a wide range of applications, from electronic
devices to large-scale electrified transportation systems and grid-scale energy storage …
devices to large-scale electrified transportation systems and grid-scale energy storage …
State of the art of lithium-ion battery material potentials: An analytical evaluations, issues and future research directions
Recently, lithium-ion battery storage system has become increasingly popular due to its
enormous potential and capacity in renewable energy integration and e-mobility …
enormous potential and capacity in renewable energy integration and e-mobility …
The challenge and opportunity of battery lifetime prediction from field data
Accurate battery life prediction is a critical part of the business case for electric vehicles,
stationary energy storage, and nascent applications such as electric aircraft. Existing …
stationary energy storage, and nascent applications such as electric aircraft. Existing …
Pathway decisions for reuse and recycling of retired lithium-ion batteries considering economic and environmental functions
Reuse and recycling of retired electric vehicle (EV) batteries offer a sustainable waste
management approach but face decision-making challenges. Based on the process-based …
management approach but face decision-making challenges. Based on the process-based …
Towards machine-learning driven prognostics and health management of Li-ion batteries. A comprehensive review
Prognostics and health management (PHM) has emerged as a vital research discipline for
optimizing the maintenance of operating systems by detecting health degradation and …
optimizing the maintenance of operating systems by detecting health degradation and …
Battery prognostics and health management from a machine learning perspective
Transportation electrification is gaining prominence as a significant pathway for reducing
emissions and enhancing environmental sustainability. Central to this shift are lithium-ion …
emissions and enhancing environmental sustainability. Central to this shift are lithium-ion …
Analysis and key findings from real-world electric vehicle field data
Deploying battery state of health (SoH) estimation and forecasting algorithms are critical for
ensuring the reliable performance of battery electric vehicles (EVs). SoH algorithms are …
ensuring the reliable performance of battery electric vehicles (EVs). SoH algorithms are …
A convolutional neural network model for SOH estimation of Li-ion batteries with physical interpretability
Previous machine learning models for state-of-health (SOH) estimation of Li-ion batteries
have relied on prescribed statistical features. However, there is little theoretical …
have relied on prescribed statistical features. However, there is little theoretical …
Electrochemical impedance spectroscopy based state-of-health estimation for lithium-ion battery considering temperature and state-of-charge effect
State of health (SOH) is critical to the efficient and reliable use of lithium-ion batteries (LIBs),
especially in electric vehicle (EV) applications. Recently, electrochemical impedance …
especially in electric vehicle (EV) applications. Recently, electrochemical impedance …
Review on modeling and soc/soh estimation of batteries for automotive applications
Lithium-ion batteries have revolutionized the portable and stationary energy industry and
are finding widespread application in sectors such as automotive, consumer electronics …
are finding widespread application in sectors such as automotive, consumer electronics …