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10 Years of Uninterrupted Shelf Storage: How Long-Term Calendar Aging Affects the Performance of Commercial LFP/C Cells

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Many companies are required to keep lithium-ion battery cells in inventory as reserve parts, e.g. for warranty purposes. This can result in long periods of shelf storage, during which cells remain in a resting state at a specific state of charge and ambient temperature for several years without being used. Due to these extended timeframes, data on shelf storage of lithium-ion cells is limited. It is unclear how batteries will perform after such long storage duration, and if they are still able to fulfill specific power requirements for their application.
We aim to bridge this research gap by investigating the influence of 10 years of uninterrupted shelf storage on 100 commercial 26650 LFP/C lithium-ion cells. We compare data collected today, after 10 years of shelf storage at 50% state of charge and 6°C, with measurements taken on the identical cells in 2014 after shipping.
By performing a check-up procedure at 25°C, we quantify the influence of shelf storage on cell capacity and observe that all 100 cells retain between 96% and 98% percent of their original capacity. We identify consistent aging behavior across two production batches, indicating reproducible degradation after shelf storage. The cell-to-cell variations within one production batch after shelf storage remain within a range of what is to be expected of fresh production batches.
Open-circuit voltage measurements at 0.01C and rate tests between 1C and 3C indicate the absence of loss of active anode material and electrolyte salt depletion and thus suggest that aging during shelf storage is mainly attributed to SEI growth. Recent literature shows that SEI growth naturally slows over time during storage, but can accelerate again if interrupted by cyclic measurements. Since our cells remained undisturbed for 10 years, SEI growth likely diminished to a negligible rate, thus potentially explaining the minimal capacity loss observed.

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Vortrag
02/04/2025
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Co-Autoren:
Alexander Karger, Andreas Jossen
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Co-Autoren:
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03/04/2025/15:054BFluorines in the battery supply chainPh.D. Jacqueline Edge
Co-Autoren:
Evangelos Kallitsis, Francesco Restuccia, Wojciech Mrozik, Guillermo Rein, Mark Crimmin, Ron Fuge
Imperial College LondonBattery life cycle
03/04/2025/15:254BSisClever process: simultaneous recovery of metals from electronic waste to high purity and high concentration via solvent extractionMarc Philippart de Foy
Co-Autoren:
Ezgi Uslu, Andreas Pfennig
Université de LiègeOther applications
03/04/2025/15:454BSustainable Lithium Iron Phosphate (LFP) Battery Recycling via Hydrometallurgical Water Leaching and PrecipitationAyesha Tasawar
Co-Autoren:
Prof. Dr. Ing. Dr. h.c. Bernd Friedrich, Dr.-Ing. Daniel Munchen
IME - Process Metallurgy and Metal Recycling, Institute and chair at RWTH Aachen UniversityLife cycle analysis (LCA) / Life cycle costs (LCC)
03/04/2025/16:054BRecycling of electrode production scrap: Development of dry, solvent-based and thermal mechanical processes for direct recyclingM. Sc. Marco Ahuis
Co-Autoren:
Jannik Born, Sebastian Melzig, Peter Michalowski, Arno Kwade
TU Braunschweig, Institut für PartikeltechnikBattery life cycle
03/04/2025/15:054CPOLIDEMO: an innovative mechanical-electrochemical model for lithium-ion batteries degradationDavide Clerici
Co-Autoren:
Francesca Pistorio
Politecnico di TorinoModelling, machine learning and parametrization
03/04/2025/15:254CCloud-based Battery Analytics - Big data and data science improving Safety, and State of Health (SoH).Gerhard Schagerl
Co-Autoren:
Georgios Koutroulis
AVL List GmbHModelling and machine learning
03/04/2025/15:454CPhysics-based learning for advanced battery modelingPhD Yicun Huang
Co-Autoren:
Changfu Zou, Yang Li and Torsten Wik
Chalmers University of TechnologyModelling, machine learning and parametrization
03/04/2025/16:054CProZell Cost Model: A Comprehensive Approach to Pricing and Optimizing Battery Cell ProductionKashfia Mahin
Co-Autoren:
Konrad Bendzuck, Julian Burmeister, Prof. Dr.-Ing. Arno Kwade, Prof.-Dr.-Ing. Sabrina Zellmer, Maximilian Lechner, Josef Keilhofer, Anna Kollenda, Lukas Kemmer, Maximilian Blaschke, Gunther Friedl, Prof. Dr.-Ing. Rüdiger Daub, Nikolas Dilger, Svenja Weber-Harmann
Technische Universität BraunschweigLife cycle analysis (LCA) / Life cycle costs (LCC)