Analysis of Performance Degradation in Lithium-Ion Batteries Based on a Lumped Particle Diffusion Model
Pengya Fang1, Anhao Zhang2, Xiaoxiao Sui2,3
1School of Aero Engine, Zhengzhou University of Aeronautics, Zhengzhou 450015, China.
ACS Omega
|September 18, 2023
Summary
This study introduces a lumped particle diffusion model to analyze lithium-ion battery degradation. The model accurately predicts performance decline and internal state evolution under real-world conditions.
Area of Science:
- Materials Science
- Electrochemistry
- Battery Technology
Background:
- Lithium-ion battery performance degradation impacts fault diagnosis and safety.
- Understanding degradation mechanisms is vital for battery management.
Purpose of the Study:
- To propose a method for studying lithium-ion battery degradation patterns.
- To establish structure-activity relationships between internal and external parameters.
- To enable real-time quantitative analysis of battery performance degradation.
Main Methods:
- Conducted cycle life tests under New European Driving Cycle (NEDC) conditions using CC-CV charge and discharge modes.
- Developed a lumped particle diffusion model.
- Utilized the Levenberg-Marquardt (L-M) algorithm for model parameter identification.
Main Results:
- Analyzed variations in external macroscopic characteristic parameters.
- Determined ohmic, activation, and concentration losses under different aging conditions.
- Revealed internal state evolution during battery degradation.
Conclusions:
- The lumped particle diffusion model comprehensively explains internal mechanisms of lithium-ion battery performance degradation.
- The proposed method offers a novel approach for real-time quantitative analysis of battery degradation.
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