Biological transformation-battery protection inspired by wound healing.

abstraction battery system biological transformation protection mechanisms resilience attributes temperature regulation wound healing

Journal

Bioinspiration & biomimetics
ISSN: 1748-3190
Titre abrégé: Bioinspir Biomim
Pays: England
ID NLM: 101292902

Informations de publication

Date de publication:
29 07 2021
Historique:
received: 22 02 2021
accepted: 07 07 2021
pubmed: 8 7 2021
medline: 26 11 2021
entrez: 7 7 2021
Statut: epublish

Résumé

One of the major challenges for electric vehicle safety and mobility is the development of battery protection mechanisms that are able to cope with irregular and unpredictable heating of the battery unit. Biological protection mechanisms are considered to be one of the most effective and resilient mechanisms due to their ability to react dynamically and adaptively to unpredictable disturbances. Consequently, biological systems can be viewed as models for high resiliency that provide inspiration for tackling issues such as excessive resource consumption or low technical resilience. This study demonstrates the improvement of the safety of an electric vehicle battery system inspired by wound healing and pain reflex response, which are among the most important protective mechanisms of the human body system. In particular, the individual mechanisms are systematically characterized, their underlying principles identified and transferred to a simulated battery system using a novel attribute-based method. As a result, the detection of irregular heating is improved and cooling of the battery system is more efficient. Further, this example can be used to explain how protective mechanisms that contribute to the resilience of biological systems can be abstracted and transferred to different technical systems.

Identifiants

pubmed: 34233318
doi: 10.1088/1748-3190/ac1249
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Creative Commons Attribution license.

Auteurs

Simon Bessler (S)

Fraunhofer Institute for High-Speed Dynamics, Ernst-Mach-Institut, EMI, Am Klingelberg 1, 79588 Efringen-Kirchen, Germany.

Katharina Hess (K)

Fraunhofer Institute for High-Speed Dynamics, Ernst-Mach-Institut, EMI, Am Klingelberg 1, 79588 Efringen-Kirchen, Germany.

Henning Weigt (H)

Fraunhofer Institute for Toxicology and Experimental Medicine, Nikolai-Fuchs-Straße 1, 30625 Hannover, Germany.

Malte von Ramin (M)

Fraunhofer Institute for High-Speed Dynamics, Ernst-Mach-Institut, EMI, Am Klingelberg 1, 79588 Efringen-Kirchen, Germany.

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Classifications MeSH