Advancing flexible thermoelectrics for integrated electronics
With the increasing demand for energy and the climate challenges caused by the
consumption of traditional fuels, there is an urgent need to accelerate the adoption of green …
consumption of traditional fuels, there is an urgent need to accelerate the adoption of green …
All-temperature area battery application mechanism, performance, and strategies
Further applications of electric vehicles (EVs) and energy storage stations are limited
because of the thermal sensitivity, volatility, and poor durability of lithium-ion batteries (LIBs) …
because of the thermal sensitivity, volatility, and poor durability of lithium-ion batteries (LIBs) …
Data-driven lithium-ion batteries capacity estimation based on deep transfer learning using partial segment of charging/discharging data
Accurate estimation of lithium-ion battery capacity is crucial for ensuring its safety and
reliability. While data-driven modelling is a common approach for capacity estimation …
reliability. While data-driven modelling is a common approach for capacity estimation …
A comprehensive insight into the thermal runaway issues in the view of lithium-ion battery intrinsic safety performance and venting gas explosion hazards
A comprehensive understanding of thermal runaway (TR) features and battery venting gas
(BVG) explosion characteristics is the critical issue of thermal hazard prevention. In this …
(BVG) explosion characteristics is the critical issue of thermal hazard prevention. In this …
Flexible battery state of health and state of charge estimation using partial charging data and deep learning
Accurately monitoring battery states over battery life plays a central role in building
intelligent battery management systems. This study proposes a flexible method using only …
intelligent battery management systems. This study proposes a flexible method using only …
Semi-supervised estimation of capacity degradation for lithium ion batteries with electrochemical impedance spectroscopy
Abstract Machine learning-based methods have emerged as a promising solution to
accurate battery capacity estimation for battery management systems. However, they are …
accurate battery capacity estimation for battery management systems. However, they are …
Light‐Assisted Energy Storage Devices: Principles, Performance, and Perspectives
Various energy storage devices are highly demanded by o ur modern society. The use of
solar energy, an important green energy source, is extremely attractive for future energy …
solar energy, an important green energy source, is extremely attractive for future energy …
[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 …
Advances in COFs for energy storage devices: harnessing the potential of covalent organic framework materials
Covalent organic frameworks (COFs) have attracted significant attention in the materials
science community on account of their unique properties and versatile applications. These …
science community on account of their unique properties and versatile applications. These …
An adaptive capacity estimation approach for lithium-ion battery using 10-min relaxation voltage within high state of charge range
Capacity estimation is essential for battery health management during the whole lifecycle.
The data-driven technique has shown advanced performance in battery capacity estimation …
The data-driven technique has shown advanced performance in battery capacity estimation …