An Enhanced Ageing Model for Solid-State Batteries

Paolo Scaltrito, Amirmasoud Lanjan and Seshasai Srinivasan ()
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Paolo Scaltrito: Department of Mechanical and Aerospaae Engineering (DIMEAS), Politecnico di Torino, 10129 Turin, Italy
Amirmasoud Lanjan: Department of Mechanical Engineering, McMaster University, Hamilton, ON L8S 4L8, Canada
Seshasai Srinivasan: W Booth School of Engineering Practice and Technology, McMaster University, Hamilton, ON L8S 4L8, Canada

Energies, 2024, vol. 17, issue 12, 1-17

Abstract: The emphasis in the automotive industry towards sustainable mobility has led to a significant interest in hybrid-electric drive-trains 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 the present work, we propose 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 embedded with liquid electrolytes.

Keywords: ageing model; solid-sate batteries; SSB; mathematical model; SEI; ASSB (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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