Imperial College London
Alternate

Prof Gregory Offer

Faculty of Engineering, Department of Mechanical Engineering

Professor in Electrochemical Engineering
 
 
 
//

Contact

 

+44 (0)20 7594 7072gregory.offer Website

 
 
//

Location

 

720City and Guilds BuildingSouth Kensington Campus

//

Summary

 

Publications

Citation

BibTex format

@article{O'Kane:2022:10.1149/ma2022-012396mtgabs,
author = {O'Kane, SEJ and Kirkaldy, N and Offer, GJ and Marinescu, M},
doi = {10.1149/ma2022-012396mtgabs},
journal = {ECS Meeting Abstracts},
pages = {396--396},
title = {Lithium-Ion Battery Degradation: How to Diagnose It},
url = {http://dx.doi.org/10.1149/ma2022-012396mtgabs},
volume = {MA2022-01},
year = {2022}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - <jats:p>  Many different degradation mechanisms occur in lithium-ion batteries, all of which interact with one another [1]. However, there are few fewer observable consequences of degradation than there are mechanisms [2]. It is possible to measure the different degradation modes: loss of lithium inventory (LLI), loss of active material (LAM), impedance change and stoichiometric drift [3].</jats:p>               <jats:p>It is not always possible to link these observable consequences of degradation to any particular mechanism or combination of mechanisms. Many models of degradation exist [4], but these models have many parameters that cannot be measured directly. A recent modelling study [5] found the number of parameters that the model is sensitive to is greater than the number of observable degradation modes.</jats:p>               <jats:p>However, the same model [5], despite including just four degradation mechanisms, found five possible degradation pathways a battery can follow. The model was built so that more mechanisms can easily be added later, so more pathways will be found.</jats:p>               <jats:p>In this work, a new approach to diagnosing battery degradation is proposed, based on these pathways. Experimental data for the degradation modes can be identified as being consistent with a particular pathway. Once the correct pathway is found, the parameters that particular pathway is sensitive to can be fit to the data, feeding back into the model.</jats:p>               <jats:p>[1] Jacqueline Edge <jats:italic>et al.</jats:italic>, <jats:italic>Phys. Chem.: Chem. Phys.</jats:italic> vol. 23, pp. 8200-8221, 2021.</jats:p>               <jats:p>[2] Christoph Birkl <jats:italic>et al.</jats:italic>, <jats:italic>Journal of Power Sources</jats:italic> vol. 341, pp. 373-386, 2017.</jats:p>               <jats:p>[3] Matthieu Dubarry &l
AU  - O'Kane,SEJ
AU  - Kirkaldy,N
AU  - Offer,GJ
AU  - Marinescu,M
DO  - 10.1149/ma2022-012396mtgabs
EP  - 396
PY  - 2022///
SP  - 396
TI  - Lithium-Ion Battery Degradation: How to Diagnose It
T2  - ECS Meeting Abstracts
UR  - http://dx.doi.org/10.1149/ma2022-012396mtgabs
VL  - MA2022-01
ER  -
Download