Porous electrode modeling and its applications to Li‐ion batteries
Z Chen, DL Danilov, RA Eichel… - Advanced Energy …, 2022 - Wiley Online Library
Battery modeling has become increasingly important with the intensive development of Li‐
ion batteries (LIBs). The porous electrode model, relating battery performances to the …
ion batteries (LIBs). The porous electrode model, relating battery performances to the …
Aging aware operation of lithium-ion battery energy storage systems: A review
The amount of deployed battery energy storage systems (BESS) has been increasing
steadily in recent years. For newly commissioned systems, lithium-ion batteries have …
steadily in recent years. For newly commissioned systems, lithium-ion batteries have …
Long short-term memory recurrent neural network for remaining useful life prediction of lithium-ion batteries
Remaining useful life (RUL) prediction of lithium-ion batteries can assess the battery
reliability to determine the advent of failure and mitigate battery risk. The existing RUL …
reliability to determine the advent of failure and mitigate battery risk. The existing RUL …
A novel Gaussian process regression model for state-of-health estimation of lithium-ion battery using charging curve
The state-of-health (SOH) estimation is always a crucial issue for lithium-ion batteries. In
order to provide an accurate and reliable SOH estimation, a novel Gaussian process …
order to provide an accurate and reliable SOH estimation, a novel Gaussian process …
Review and performance comparison of mechanical-chemical degradation models for lithium-ion batteries
The maximum energy that lithium-ion batteries can store decreases as they are used
because of various irreversible degradation mechanisms. Many models of degradation have …
because of various irreversible degradation mechanisms. Many models of degradation have …
Development of high‐energy anodes for all‐solid‐state lithium batteries based on sulfide electrolytes
All‐solid‐state Li batteries (ASSBs) promise better performance and higher safety than the
current liquid‐based Li‐ion batteries (LIBs). Sulfide ASSBs have been extensively studied …
current liquid‐based Li‐ion batteries (LIBs). Sulfide ASSBs have been extensively studied …
Understanding battery interfaces by combined characterization and simulation approaches: challenges and perspectives
D Atkins, E Ayerbe, A Benayad… - Advanced Energy …, 2022 - Wiley Online Library
Driven by the continuous search for improving performances, understanding the
phenomena at the electrode/electrolyte interfaces has become an overriding factor for the …
phenomena at the electrode/electrolyte interfaces has become an overriding factor for the …
[HTML][HTML] Review of “grey box” lifetime modeling for lithium-ion battery: Combining physics and data-driven methods
Lithium-ion batteries are a popular choice for a wide range of energy storage system
applications. The current motivation to improve the robustness of lithium-ion battery …
applications. The current motivation to improve the robustness of lithium-ion battery …
Adaptive ensemble-based electrochemical–thermal degradation state estimation of lithium-ion batteries
In this article, a computationally efficient state estimation method for lithium-ion (Li-ion)
batteries is proposed based on a degradation-conscious high-fidelity electrochemical …
batteries is proposed based on a degradation-conscious high-fidelity electrochemical …
Deep Gaussian process regression for lithium-ion battery health prognosis and degradation mode diagnosis
P Tagade, KS Hariharan, S Ramachandran… - Journal of Power …, 2020 - Elsevier
Accurate state of health estimation and end of life prediction is critical for safe and reliable
operation of lithium-ion batteries. This paper proposes a deep Gaussian process algorithm …
operation of lithium-ion batteries. This paper proposes a deep Gaussian process algorithm …