Mapping internal temperatures during high-rate battery applications-Reference-Cited by-同舟云学术

Mapping internal temperatures during high-rate battery applications

Published:2023-05-17 Issue:7961 Volume:617 Page:507-512
ISSN:0028-0836
Container-title:Nature
language:en
Short-container-title:Nature

Author:

Heenan T. M. M.,Mombrini I.^ORCID,Llewellyn A.,Checchia S.^ORCID,Tan C.,Johnson M. J.,Jnawali A.,Garbarino G.^ORCID,Jervis R.^ORCID,Brett D. J. L.^ORCID,Di Michiel M.,Shearing P. R.^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

https://www.nature.com/articles/s41586-023-05913-z.pdf

Reference30 articles.

1. Spinner, N. et al. Novel 18650 lithium-ion battery surrogate cell design with anisotropic thermophysical properties for studying failure events. J. Power Sources 312, 1–11 (2016).

2. Yu, X. et al. Simultaneous operando measurements of the local temperature, state of charge, and strain inside a commercial lithium-ion battery pouch cell. J. Electrochem. Soc. 165, A1578 (2018).

3. Kok, M. et al. Virtual unrolling of spirally-wound lithium-ion cells for correlative degradation studies and predictive fault detection. Sustainable Energy Fuels 3, 2972–2976 (2019).

4. Ziesche, R. F. et al. 4D imaging of lithium-batteries using correlative neutron and X-ray tomography with a virtual unrolling technique. Nat. Commun. 11, 777 (2020).

5. Sripad, S., Bills, A. & Viswanathan, V. A review of safety considerations for batteries in aircraft with electric propulsion. MRS Bull. 46, 435–442 (2021).

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