@inproceedings{ef42960dd0f440f18724705dbe44e198,
title = "Ageing Studies of Mega Battery Packs for Grid Storage Applications Using Physics Based Modeling",
abstract = "The lower Levelized Cost of Electricity (LCOE) from wind and solar photovoltaics has enabled for greater integration of variable energy resources with energy storage tech-nologies such as larger centralized lithium-ion battery megapacks (with 1MWh total energy and 500V rating) to provide utility-scale services to grid operators. The daily cycling of standalone lithium-ion grid storage will reduce the battery cells' capacity due to several degradation mechanisms. A comprehensive physics-based Pythontm framework called Liionpack was developed to estimate these megapacks' remaining life and ageing. The study includes various degradation mechanisms coupled to the electrochemical-thermal model at the pack level. The effect of the inhomogeneities from cell-to-cell thermodynamic and kinetic properties for different working conditions including temperature and charge/discharge protocols on the ageing of a megapack are presented here.",
keywords = "Battery pack ageing, Cell ageing, Physical degradation mechanisms, PyBaMM, liionpack",
author = "Vikrant, {K. S.N.} and Tranter, {Tom G.} and Wiggins, {Gavin M.} and Brett, {Dan J.L.} and Srikanth Allu",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2024 IEEE Electrical Energy Storage Application and Technologies Conference, EESAT 2024 ; Conference date: 29-01-2024 Through 30-01-2024",
year = "2024",
doi = "10.1109/EESAT59125.2024.10471201",
language = "English",
series = "2024 IEEE Electrical Energy Storage Application and Technologies Conference, EESAT 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2024 IEEE Electrical Energy Storage Application and Technologies Conference, EESAT 2024",
}