Lithium-ion battery degradation: how to model it
Simon E. J. O'Kane, Weilong Ai, Ganesh Madabattula, Diego Alonso, Alvarez, Robert Timms, Valentin Sulzer, Jacqueline Sophie Edge, Billy Wu,, Gregory J. Offer, Monica Marinescu

TL;DR
This paper introduces a novel model that explicitly couples multiple degradation mechanisms within a lithium-ion battery electrode, enabling detailed analysis of degradation pathways and their impact on battery lifespan.
Contribution
It is the first to directly couple more than two degradation mechanisms in the negative electrode within a single model, advancing understanding of complex degradation interactions.
Findings
Five different degradation pathways identified for end-of-life.
Model allows observation of lithium loss and active material loss.
Open source PyBaMM facilitates exploration of new physics.
Abstract
Predicting lithium-ion battery degradation is worth billions to the global automotive, aviation and energy storage industries, to improve performance and safety and reduce warranty liabilities. However, very few published models of battery degradation explicitly consider the interactions between more than two degradation mechanisms, and none do so within a single electrode. In this paper, the first published attempt to directly couple more than two degradation mechanisms in the negative electrode is reported. The results are used to map different pathways through the complicated path dependent and non-linear degradation space. Four degradation mechanisms are coupled in PyBaMM, an open source modelling environment uniquely developed to allow new physics to be implemented and explored quickly and easily. Crucially it is possible to see 'inside' the model and observe the consequences of…
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