Experimental and numerical analysis to identify the performance limiting mechanisms in solid-state lithium cells under pulse operating conditions.


Journal

Physical chemistry chemical physics : PCCP
ISSN: 1463-9084
Titre abrégé: Phys Chem Chem Phys
Pays: England
ID NLM: 100888160

Informations de publication

Date de publication:
24 Oct 2019
Historique:
pubmed: 26 9 2019
medline: 26 9 2019
entrez: 26 9 2019
Statut: ppublish

Résumé

Solid-state lithium batteries could reduce the safety concern due to thermal runaway while improving the gravimetric and volumetric energy density beyond the existing practical limits of lithium-ion batteries. The successful commercialisation of solid-state lithium batteries depends on understanding and addressing the bottlenecks limiting the cell performance under realistic operational conditions such as dynamic current profiles of different pulse amplitudes. This study focuses on experimental analysis and continuum modelling of cell behaviour under pulse operating conditions, with most model parameters estimated from experimental measurements. By using a combined impedance and distribution of relaxation times analysis, we show that charge transfer at both interfaces occurs between the microseconds and milliseconds timescale. We also demonstrate that a simplified set of governing equations, rather than the conventional Poisson-Nernst-Planck equations, are sufficient to reproduce the experimentally observed behaviour during pulse discharge, pulse charging and dynamic pulse. Our simulation results suggest that solid diffusion in bulk LiCoO2 is the performance limiting mechanism under pulse operating conditions, with increasing voltage loss for lower states of charge. If bulk electrode forms the positive electrode, improvement in the ionic conductivity of the solid electrolyte beyond 10-4 S cm-1 yields marginal overall performance gains due to this solid diffusion limitation. Instead of further increasing the electrode thickness or improving the ionic conductivity on their own, we propose a holistic model-based approach to cell design, in order to achieve optimum performance for known operating conditions.

Identifiants

pubmed: 31552951
doi: 10.1039/c9cp03886h
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

22740-22755

Auteurs

Mei-Chin Pang (MC)

Department of Mechanical Engineering, Imperial College London, Exhibition Road, South Kensington Campus, London, SW7 2AZ, UK. gregory.offer@imperial.ac.uk.

Classifications MeSH