Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

An Enhanced Ageing Model for Solid-State Batteries

Version 1 : Received: 11 April 2024 / Approved: 15 April 2024 / Online: 15 April 2024 (11:49:21 CEST)

How to cite: Scaltrito, P.; Lanjan, A.; Srinivasan, S. An Enhanced Ageing Model for Solid-State Batteries. Preprints 2024, 2024040890. https://doi.org/10.20944/preprints202404.0890.v1 Scaltrito, P.; Lanjan, A.; Srinivasan, S. An Enhanced Ageing Model for Solid-State Batteries. Preprints 2024, 2024040890. https://doi.org/10.20944/preprints202404.0890.v1

Abstract

The emphasis in the automotive industry towards sustainable mobility has led to a significant interest in hybrid-electric propulsion systems with high energy density batteries. Addressing the needs of this strategy, the battery market is exploring new technologies to improve the safety and lifespan of electric vehicles. To this end, there is a focus on the all-solid-state battery (ASSB) technology for its cycle capabilities. Filling the current void in the literature pertaining to accurate ageing models for ASSBs, in this work, we present an enhanced version of the numerical ageing model, originally developed for liquid electrolyte based batteries, to forecast the development of the solid electrolyte interface layer that is the major cause of battery capacity fading. The model has been tested on prototype batteries and reveals an accuracy of 99%. The capacity fade in ASSBs has been investigated under different conditions, and the enhanced ageing model has been validated using experimental data from these batteries. The findings suggest that there is potential for solid-state batteries to be commercialized, although significant work is needed to match the manufacturing level of lithium-ion batteries with liquid electrolytes.

Keywords

ageing model; solid-sate batteries; SSB; mathematical model; SEI; ASSB

Subject

Engineering, Energy and Fuel Technology

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