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 …
A figure of merit for fast-charging Li-ion battery materials
Rate capability is characterized necessarily in almost all battery-related reports, while there
is no universal metric for quantitative comparison. Here, we proposed the characteristic time …
is no universal metric for quantitative comparison. Here, we proposed the characteristic time …
Origin of fast charging in hard carbon anodes
Y Li, A Vasileiadis, Q Zhou, Y Lu, Q Meng, Y Li… - Nature Energy, 2024 - nature.com
Transport electrification and grid storage hinge largely on fast-charging capabilities of Li-and
Na-ion batteries, but anodes such as graphite with plating issues drive the scientific focus …
Na-ion batteries, but anodes such as graphite with plating issues drive the scientific focus …
[PDF][PDF] 基于电化学模型的锂离子电池荷电状态估计方法综述
武龙星, 庞辉, 晋佳敏, 耿院飞, 刘凯 - 电工技术学报, 2022 - dgjsxb.ces-transaction.com
摘要荷电状态(SOC) 的准确估计是电池管理系统的重要功能之一. 当前, 基于模型的方法是实现
锂离子电池SOC 估计最常用的解决方案. 相比于等效电路模型(ECM), 由于电化学模型(EM) …
锂离子电池SOC 估计最常用的解决方案. 相比于等效电路模型(ECM), 由于电化学模型(EM) …
[HTML][HTML] Battery digital twins: Perspectives on the fusion of models, data and artificial intelligence for smart battery management systems
Effective management of lithium-ion batteries is a key enabler for a low carbon future, with
applications including electric vehicles and grid scale energy storage. The lifetime of these …
applications including electric vehicles and grid scale energy storage. The lifetime of these …
Perspective—combining physics and machine learning to predict battery lifetime
Forecasting the health of a battery is a modeling effort that is critical to driving improvements
in and adoption of electric vehicles. Purely physics-based models and purely data-driven …
in and adoption of electric vehicles. Purely physics-based models and purely data-driven …
Python battery mathematical modelling (PyBaMM)
As the UK battery modelling community grows, there is a clear need for software that uses
modern software engineering techniques to facilitate cross-institutional collaboration and …
modern software engineering techniques to facilitate cross-institutional collaboration and …
[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 …
Enabling high-fidelity electrochemical P2D modeling of lithium-ion batteries via fast and non-destructive parameter identification
Physics-based electrochemical models provide insight into the battery internal states and
have shown great potential in battery design optimization and automotive and aerospace …
have shown great potential in battery design optimization and automotive and aerospace …
Dynamic models of Li-ion batteries for diagnosis and operation: a review and perspective
This article discusses the options and challenges of dynamic models for the diagnosis and
operation of Li-ion batteries. It provides a concise yet understandable overview on models …
operation of Li-ion batteries. It provides a concise yet understandable overview on models …