A novel method of battery pack energy health estimation based on visual feature learning

J Zhang, W Zhang, B Sun, Y Zhang, X Fan, B Zhao - Energy, 2024 - Elsevier
Accurate health estimation of massive battery packs and efficient optimization of data
storage have become major technical challenges with the development of big data …

Machine Learning and Mathematical Models for Prediction of Structural Aging Process

M Mudabbiruddin, A Mosavi - 2023 IEEE 17th International …, 2023 - ieeexplore.ieee.org
This paper is a thorough and organized overview of the literature on the development of
mathematical models to evaluate aging and the necessity of machine learning techniques in …

Analysing Performance of 2RC Equivalent Circuit Models of Li-Ion Cell for Embedded Code Generation

K Aditya - 2023 IEEE 3rd International Conference on …, 2023 - ieeexplore.ieee.org
Lithium-ion (Li-ion) batteries are widely used in portable electronic devices and electric
vehicles due to their high energy density and low self-discharge rate. Accurate modelling of …

Lithium-Ion battery remaining useful life prediction method concerning temperature-influenced charging data

S Gong, H He, X Zhao, Y Shou… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Developing the remaining useful life (RUL) prediction technology for lithium-ion batteries
can effectively provide information for battery maintenance and diagnosis. Although there …

Muti-Physics Constrained Pev Charging Management for Solar Pv Penetrated Energy-Transportation Nexus: A Novel Drl-Based Approach Combining a Cyber …

X Zhao, H He, J Li, Z Wei, R Huang - Available at SSRN 4815447 - papers.ssrn.com
Utilizing energy storage capability of plug-in electric vehicles (PEVs) to integrate the surplus
energy from increasingly penetrated solar photovoltaics (PVs) is an ideal solution to the …