A review on thermal management of lithium-ion batteries for electric vehicles
In recent years, energy and environmental issues have become more and more prominent,
and electric vehicles powered by lithium-ion battery have shown great potential and …
and electric vehicles powered by lithium-ion battery have shown great potential and …
Liquid electrolyte development for low-temperature lithium-ion batteries
Lithium-ion batteries (LIBs) power virtually all modern portable devices and electric vehicles,
and their ubiquity continues to grow. With increasing applications, however, come …
and their ubiquity continues to grow. With increasing applications, however, come …
Battery state-of-charge estimation amid dynamic usage with physics-informed deep learning
Accurate estimation of state of charge (SOC) constitutes the basis to enable the reliable
operations of lithium-ion batteries. The recent development in deep learning provides an …
operations of lithium-ion batteries. The recent development in deep learning provides an …
Challenges and development of lithium-ion batteries for low temperature environments
Lithium-ion batteries (LIBs) play a vital role in portable electronic products, transportation
and large-scale energy storage. However, the electrochemical performance of LIBs …
and large-scale energy storage. However, the electrochemical performance of LIBs …
Internal short circuit mechanisms, experimental approaches and detection methods of lithium-ion batteries for electric vehicles: A review
Energy security, environmental concerns, and the upgrading of automobile industry are the
driving trifecta of the rapid development of electric vehicles (EVs). Lithium-ion batteries …
driving trifecta of the rapid development of electric vehicles (EVs). Lithium-ion batteries …
Machine learning for predicting battery capacity for electric vehicles
Predicting the evolution of multiphysics battery systems face severe challenges, including
various aging mechanisms, cell-to-cell variation and dynamic operating conditions. Despite …
various aging mechanisms, cell-to-cell variation and dynamic operating conditions. Despite …
Machine learning applied to electrified vehicle battery state of charge and state of health estimation: State-of-the-art
The growing interest and recent breakthroughs in artificial intelligence and machine learning
(ML) have actively contributed to an increase in research and development of new methods …
(ML) have actively contributed to an increase in research and development of new methods …
A review of lithium-ion battery state of charge estimation based on deep learning: Directions for improvement and future trends
Y Liu, Y He, H Bian, W Guo, X Zhang - Journal of Energy Storage, 2022 - Elsevier
With the rapid growth in productivity, the need for fossil has increased, spurring research
and development of new energy sources. In the automotive industry, the development of …
and development of new energy sources. In the automotive industry, the development of …
A comprehensive review of state of charge estimation in lithium-ion batteries used in electric vehicles
V Selvaraj, I Vairavasundaram - Journal of Energy Storage, 2023 - Elsevier
In the recent era, Electric Vehicles (EVs) has been emerged as the top concern in the
automobile sector because of their eco-friendly nature. The application of Lithium-ion …
automobile sector because of their eco-friendly nature. The application of Lithium-ion …
A review of thermal physics and management inside lithium-ion batteries for high energy density and fast charging
Traditionally it has been assumed that battery thermal management systems should be
designed to maintain the battery temperature around room temperature. That is not always …
designed to maintain the battery temperature around room temperature. That is not always …