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Abstract
Lithium batteries are increasingly becoming the energy storage technology preferred for many applications. The interest for its use in applications that require a large storage capacity, such as the automotive industry or renewable energy, demands better prognostic and health monitoring procedures in order to prevent unforeseen failures because of the significant cost involved. This work focuses its study on the degradation of the batteries produced during idle-time, i.e. calendar aging. In this paper electrochemical impedance spectroscopy (EIS) is investigated as a tool of prognosis under several conditions of state of charge (SOC) and temperature. For the tests, 63 Ah Lithium-ion cells based on Nickel Manganese Cobalt oxide (NMC) cathode, were used. The batteries were tested during 12 months in climatic chambers and their capacity and impedance spectra were measured on a regular basis. The data set collected was analyzed in order to create a model capable of predicting the batteries’ state of health (SOH) according to the calendar aging conditions.
Original language | English |
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Title of host publication | Proceedings of 2019 Fourteenth International Conference on Ecological Vehicles and Renewable Energies (EVER) |
Number of pages | 8 |
Publisher | IEEE Press |
Publication date | May 2019 |
Article number | 8813635 |
ISBN (Print) | 978-1-7281-3702-5 |
ISBN (Electronic) | 9781728137032 |
DOIs | |
Publication status | Published - May 2019 |
Event | 2019 Fourteenth International Conference on Ecological Vehicles and Renewable Energies (EVER) - Grimaldi Forum, Monaco, Monaco Duration: 8 May 2019 → 10 May 2019 |
Conference
Conference | 2019 Fourteenth International Conference on Ecological Vehicles and Renewable Energies (EVER) |
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Location | Grimaldi Forum |
Country/Territory | Monaco |
City | Monaco |
Period | 08/05/2019 → 10/05/2019 |
Keywords
- Lithium-ion battery
- State-of-health estimation
- Electrochemical impedance spectroscopy
- Calendar aging
Fingerprint
Dive into the research topics of 'Calendar Aging Lifetime Model for NMC-based Lithium-ion Batteries Based on EIS Measurements'. Together they form a unique fingerprint.Projects
- 1 Finished
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eVolution2G - V2G: Innovative Vehicle to Grid model for electric mobility deployment in Europe
Schaltz, E., Stroe, D., Gismero, A., Jacobsen, J. & Miltersen, A. H.
01/06/2018 → 31/05/2020
Project: Research