Ageing Studies of Mega Battery Packs for Grid Storage Applications Using Physics Based Modeling

Conference · Mon Jan 01 04:00:00 EST 2024

OSTI ID:2333745

Karra, Vikrant ^[1]; Tranter, Tom G. ^[2]; Wiggins, Gavin ^[1]; Brett, Dan J.L. ^[3]; Allu, Srikanth ^[1]

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1. ORNL
2. National Physics Laboratory (NPL), UK
3. University College London (UCL), UK

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 Python tm 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.

• Research Organization: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE; USDOE Office of Electricity Delivery and Energy Reliability (OE)
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 2333745
• Country of Publication: United States
• Language: English