Deep learning framework for lithium-ion battery state of charge estimation: Recent advances and future perspectives
Accurate state of charge (SOC) constitutes the basis for reliable operations of lithium-ion
batteries. The deep learning technique, a game changer in many fields, has recently …
batteries. The deep learning technique, a game changer in many fields, has recently …
[HTML][HTML] The heating triangle: A quantitative review of self-heating methods for lithium-ion batteries at low temperatures
Lithium-ion batteries at low temperatures have slow recharge times alongside reduced
available power and energy. Battery heating is a viable way to address this issue, and self …
available power and energy. Battery heating is a viable way to address this issue, and self …
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 …
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 …
In Situ Li‐Plating Diagnosis for Fast‐Charging Li‐Ion Batteries Enabled by Relaxation‐Time Detection
The Li‐plating behavior of Li‐ion batteries under fast‐charging conditions is elusive due to a
lack of reliable indicators of the Li‐plating onset. In this work, the relaxation time constant of …
lack of reliable indicators of the Li‐plating onset. In this work, the relaxation time constant of …
Dry electrode technology for scalable and flexible high-energy sulfur cathodes in all-solid-state lithium-sulfur batteries
All-solid-state lithium-sulfur batteries (ASSLSBs) employing sulfide solid electrolytes are one
of the most promising next-generation energy storage systems due to their potential for …
of the most promising next-generation energy storage systems due to their potential for …
Targeting the low-temperature performance degradation of lithium-ion batteries: A non-destructive bidirectional pulse current heating framework
The poor low-temperature performance of lithium-ion batteries (LIBs) significantly impedes
the widespread adoption of electric vehicles (EVs) and energy storage systems (ESSs) in …
the widespread adoption of electric vehicles (EVs) and energy storage systems (ESSs) in …
An ultra-fast charging strategy for lithium-ion battery at low temperature without lithium plating
Y Qin, P Zuo, X Chen, W Yuan, R Huang… - Journal of Energy …, 2022 - Elsevier
Conventional charging methods for lithium-ion battery (LIB) are challenged with vital
problems at low temperatures: risk of lithium (Li) plating and low charging speed. This study …
problems at low temperatures: risk of lithium (Li) plating and low charging speed. This study …
An efficient data-driven optimal sizing framework for photovoltaics-battery-based electric vehicle charging microgrid
The rapid growth of electric vehicles (EV) in cities has led to the development of microgrids
(MGs) combined with photovoltaics (PV) and the energy storage system (ESS) as charging …
(MGs) combined with photovoltaics (PV) and the energy storage system (ESS) as charging …
Charging private electric vehicles solely by photovoltaics: A battery-free direct-current microgrid with distributed charging strategy
X Liu, Z Fu, S Qiu, T Zhang, S Li, Z Yang, X Liu, Y Jiang - Applied Energy, 2023 - Elsevier
Charging electric vehicles (EV) by photovoltaics (PV) contributes to achieving carbon
neutrality, but puts pressure on urban renewal, eg, large investments in distribution grid …
neutrality, but puts pressure on urban renewal, eg, large investments in distribution grid …