Calendar Aging Lifetime Model for NMC-based Lithium-ion Batteries Based on EIS Measurements

Alejandro Gismero, Daniel-Ioan Stroe, Erik Schaltz

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

13 Citations (Scopus)

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 languageEnglish
Title of host publicationProceedings of 2019 Fourteenth International Conference on Ecological Vehicles and Renewable Energies (EVER)
Number of pages8
PublisherIEEE Press
Publication dateMay 2019
Article number8813635
ISBN (Print)978-1-7281-3702-5
ISBN (Electronic)9781728137032
DOIs
Publication statusPublished - May 2019
Event2019 Fourteenth International Conference on Ecological Vehicles and
Renewable Energies (EVER)
- Grimaldi Forum, Monaco, Monaco
Duration: 8 May 201910 May 2019

Conference

Conference2019 Fourteenth International Conference on Ecological Vehicles and
Renewable Energies (EVER)
LocationGrimaldi Forum
Country/TerritoryMonaco
CityMonaco
Period08/05/201910/05/2019

Keywords

  • Lithium-ion battery
  • State-of-health estimation
  • Electrochemical impedance spectroscopy
  • Calendar aging

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