Partial Charging Method for Lithium-Ion Battery State-of-Health Estimation

Erik Schaltz, Daniel-Ioan Stroe, Kjeld Nørregaard, Bjarne Johnsen, Andreas Christensen

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

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Abstract

In this paper a lithium-ion battery State-of-Health (SoH) estimation method denoted Partial Charging Method (PCM) is proposed. The method is applied to Nickel-Manganese-Cobalt (NMC) battery cells exposed to cycling and calendar aging at 11 different test conditions. The influence of partial charging voltage intervals and charging rate on the SoH estimation error has been investigated. The results indicate that the PCM is independent on the charging rate and the aging conditions, and a SoH estimation Root-Mean-Square-Error of 2.4% is achieved.
Original languageEnglish
Title of host publicationProceedings of 2019 Fourteenth International Conference on Ecological Vehicles and Renewable Energies (EVER)
Number of pages6
PublisherIEEE Press
Publication dateMay 2019
Article number8813645
ISBN (Print)978-1-7281-3703-2
ISBN (Electronic)978-1-7281-3703-2
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
CountryMonaco
CityMonaco
Period08/05/201910/05/2019

Fingerprint

Health
Aging of materials
Mean square error
Error analysis
Manganese
Cobalt
Nickel
Electric potential
Lithium-ion batteries

Keywords

  • State-of-heath estimation
  • Partial charging method
  • Lithium-ion battery

Cite this

Schaltz, E., Stroe, D-I., Nørregaard, K., Johnsen, B., & Christensen, A. (2019). Partial Charging Method for Lithium-Ion Battery State-of-Health Estimation. In Proceedings of 2019 Fourteenth International Conference on Ecological Vehicles and Renewable Energies (EVER) [8813645] IEEE Press. https://doi.org/10.1109/EVER.2019.8813645
Schaltz, Erik ; Stroe, Daniel-Ioan ; Nørregaard, Kjeld ; Johnsen, Bjarne ; Christensen, Andreas. / Partial Charging Method for Lithium-Ion Battery State-of-Health Estimation. Proceedings of 2019 Fourteenth International Conference on Ecological Vehicles and Renewable Energies (EVER) . IEEE Press, 2019.
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abstract = "In this paper a lithium-ion battery State-of-Health (SoH) estimation method denoted Partial Charging Method (PCM) is proposed. The method is applied to Nickel-Manganese-Cobalt (NMC) battery cells exposed to cycling and calendar aging at 11 different test conditions. The influence of partial charging voltage intervals and charging rate on the SoH estimation error has been investigated. The results indicate that the PCM is independent on the charging rate and the aging conditions, and a SoH estimation Root-Mean-Square-Error of 2.4{\%} is achieved.",
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Schaltz, E, Stroe, D-I, Nørregaard, K, Johnsen, B & Christensen, A 2019, Partial Charging Method for Lithium-Ion Battery State-of-Health Estimation. in Proceedings of 2019 Fourteenth International Conference on Ecological Vehicles and Renewable Energies (EVER) ., 8813645, IEEE Press, 2019 Fourteenth International Conference on Ecological Vehicles and
Renewable Energies (EVER)
, Monaco, Monaco, 08/05/2019. https://doi.org/10.1109/EVER.2019.8813645

Partial Charging Method for Lithium-Ion Battery State-of-Health Estimation. / Schaltz, Erik; Stroe, Daniel-Ioan; Nørregaard, Kjeld; Johnsen, Bjarne; Christensen, Andreas.

Proceedings of 2019 Fourteenth International Conference on Ecological Vehicles and Renewable Energies (EVER) . IEEE Press, 2019. 8813645.

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

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Schaltz E, Stroe D-I, Nørregaard K, Johnsen B, Christensen A. Partial Charging Method for Lithium-Ion Battery State-of-Health Estimation. In Proceedings of 2019 Fourteenth International Conference on Ecological Vehicles and Renewable Energies (EVER) . IEEE Press. 2019. 8813645 https://doi.org/10.1109/EVER.2019.8813645