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Population effects driving active material degradation in intercalation electrodes.

Debbie Zhuang¹, Martin Z Bazant^1,2

¹Department of Chemical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, USA.

Physical Review. E

|May 18, 2023

Summary

This study models battery degradation by treating active material particles as a population, revealing how particle size and heterogeneous degradation impact electrode performance. Smaller particles significantly contribute to electrode-level degradation and capacity loss.

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Area of Science:

Materials Science
Electrochemistry
Computational Modeling

Background:

Current battery models simplify electrodes to single particles, neglecting crucial interparticle interactions.
Accurate physics for electrode degradation requires accounting for individual particle behavior and interactions.

Purpose of the Study:

To develop a novel battery degradation model incorporating population genetics principles.
To investigate the influence of particle size and heterogeneous degradation on battery performance.
To link particle-level degradation mechanisms to observable electrode-level phenomena.

Main Methods:

Formulated a population genetics-based model for battery active material particles.
Incorporated particle size and heterogeneous degradation effects.
Analyzed the autocatalytic relationship between particle fitness and degradation.
Examined contributions of particle-level degradation to electrode-level performance.

Main Results:

Degradation progresses nonuniformly across the particle population, with smaller particles contributing significantly to electrode degradation.
An autocatalytic relationship exists between particle fitness and degradation.
Specific degradation mechanisms show characteristic signatures in capacity loss and voltage profiles.

Conclusions:

The population genetics approach provides a more accurate representation of battery degradation.
Understanding particle-level degradation is key to predicting and mitigating electrode-level performance decline.
Electrode-level observations can elucidate underlying particle-level degradation mechanisms.