Model Construction and Dominant Mechanism Analysis of Li-Ion Batteries under Periodic Excitation

This study establishes for the first time a P2D-coupled non-ideal double-layer capacitor model (P2D-CNIC), which can be used for mechanism analysis under high-frequency periodic signal excitation. The novelty of this work is the consideration of the generally neglected electric double-layer capacita...

Full description

Saved in:
Bibliographic Details
Main Authors: Zhihao Wang, Xingzhen Zhou, Bingxiang Sun, Weige Zhang, Xiaojia Su, Jinkai Shi, Qinhe Huang
Format: Article
Language:English
Published: American Association for the Advancement of Science (AAAS) 2024-01-01
Series:Space: Science & Technology
Online Access:https://spj.science.org/doi/10.34133/space.0129
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This study establishes for the first time a P2D-coupled non-ideal double-layer capacitor model (P2D-CNIC), which can be used for mechanism analysis under high-frequency periodic signal excitation. The novelty of this work is the consideration of the generally neglected electric double-layer capacitance and its dispersion effects, especially the capacitance of the solid electrolyte interface (SEI) film. The dispersion effect of the model is verified by a periodic current excitation signal and the corresponding phase change in the voltage response. Under sinusoidal alternating current (AC) excitation, a comparative analysis was conducted between the traditional P2D model, the traditional P2D model coupled with the ideal double-layer capacitor (P2D-CIC), and the proposed P2D-CNIC mechanism model. Furthermore, three models were evaluated under periodic short-circuit pulse discharge conditions to verify the accuracy and reliability of P2D-CNIC. The simulation results are used to analyze the dominant order of faradaic and non-Faraday processes under sinusoidal AC excitation, thereby providing insights into the internal mechanism analysis of lithium batteries under high-frequency cycling conditions.
ISSN:2692-7659