Quantitative spatiotemporal mapping of thermal runaway propagation rates in lithium-ion cells using cross-correlated Gabor filtering-Reference-Cited by-同舟云学术

Quantitative spatiotemporal mapping of thermal runaway propagation rates in lithium-ion cells using cross-correlated Gabor filtering

Published:2022 Issue:8 Volume:15 Page:3503-3518
ISSN:1754-5692
Container-title:Energy & Environmental Science
language:en
Short-container-title:Energy Environ. Sci.

Author:

Radhakrishnan Anand N. P.¹^ORCID,Buckwell Mark¹²^ORCID,Pham Martin¹²,Finegan Donal P.³^ORCID,Rack Alexander⁴^ORCID,Hinds Gareth⁵^ORCID,Brett Dan J. L.¹²^ORCID,Shearing Paul R.¹²^ORCID

Affiliation:

1. Electrochemical Innovation Lab, Department of Chemical Engineering, University College London, London, WC1E 7JE, UK

2. The Faraday Institution, Harwell Science and Innovation Campus, Didcot, OX11 0RA, UK

3. National Renewable Energy Laboratory, 15013 Denver West Parkway, Golden, CO 80401, USA

4. The European Synchrotron (ESRF), 71 Avenue des Martyrs, 38000, Grenoble, France

5. Electrochemistry Group, National Physical Laboratory Teddington, Middlesex, TW11 0LW, UK

Abstract

Thermal runaway propagation in lithium-ion cells is quantified for the first time, using an image processing approach. The results provide fresh insights for the development of new battery safety standards and strategies.

Funder

Faraday Institution

Royal Academy of Engineering

Engineering and Physical Sciences Research Council

Department for Business, Energy and Industrial Strategy

Publisher

Royal Society of Chemistry (RSC)

Subject

Pollution,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment,Environmental Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2022/EE/D1EE03430H

Reference49 articles.