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 …

A figure of merit for fast-charging Li-ion battery materials

H Xia, W Zhang, S Cao, X Chen - ACS nano, 2022 - ACS Publications
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 …

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 …

[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) …

[HTML][HTML] Battery digital twins: Perspectives on the fusion of models, data and artificial intelligence for smart battery management systems

B Wu, WD Widanage, S Yang, X Liu - Energy and AI, 2020 - Elsevier
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 …

Perspective—combining physics and machine learning to predict battery lifetime

M Aykol, CB Gopal, A Anapolsky… - Journal of The …, 2021 - iopscience.iop.org
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 …

Python battery mathematical modelling (PyBaMM)

V Sulzer, SG Marquis, R Timms, M Robinson… - Journal of Open …, 2021 - ora.ox.ac.uk
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 …

[HTML][HTML] Battery safety: Machine learning-based prognostics

J Zhao, X Feng, Q Pang, M Fowler, Y Lian… - Progress in Energy and …, 2024 - Elsevier
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 …

Enabling high-fidelity electrochemical P2D modeling of lithium-ion batteries via fast and non-destructive parameter identification

L Xu, X Lin, Y Xie, X Hu - Energy Storage Materials, 2022 - Elsevier
Physics-based electrochemical models provide insight into the battery internal states and
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

U Krewer, F Röder, E Harinath, RD Braatz… - Journal of the …, 2018 - iopscience.iop.org
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 …