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

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

doi:10.1109/EVER.2019.8813645

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 proceeding › Article in proceeding › Research › peer-review

11 Citations (Scopus)

128 Downloads (Pure)

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 language	English
Title of host publication	Proceedings of 2019 Fourteenth International Conference on Ecological Vehicles and Renewable Energies (EVER)
Number of pages	6
Publisher	IEEE Press
Publication date	May 2019
Article number	8813645
ISBN (Print)	978-1-7281-3703-2
ISBN (Electronic)	978-1-7281-3703-2
DOIs	https://doi.org/10.1109/EVER.2019.8813645
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)
Location	Grimaldi Forum
Country/Territory	Monaco
City	Monaco
Period	08/05/2019 → 10/05/2019

Keywords

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

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10.1109/EVER.2019.8813645

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

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Cite this

@inproceedings{a1425e3f1d624f7eab059c2334e62087,

title = "Partial Charging Method for Lithium-Ion Battery State-of-Health Estimation",

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.",

keywords = "State-of-heath estimation, Partial charging method, Lithium-ion battery",

author = "Erik Schaltz and Daniel-Ioan Stroe and Kjeld N{\o}rregaard and Bjarne Johnsen and Andreas Christensen",

year = "2019",

month = may,

doi = "10.1109/EVER.2019.8813645",

language = "English",

isbn = "978-1-7281-3703-2",

booktitle = "Proceedings of 2019 Fourteenth International Conference on Ecological Vehicles and Renewable Energies (EVER)",

publisher = "IEEE Press",

note = "2019 Fourteenth International Conference on Ecological Vehicles and<br/>Renewable Energies (EVER)<br/>, EVER 2019 ; Conference date: 08-05-2019 Through 10-05-2019",

}

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 et al.
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 proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Partial Charging Method for Lithium-Ion Battery State-of-Health Estimation

AU - Schaltz, Erik

AU - Stroe, Daniel-Ioan

AU - Nørregaard, Kjeld

AU - Johnsen, Bjarne

AU - Christensen, Andreas

PY - 2019/5

Y1 - 2019/5

N2 - 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.

AB - 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.

KW - State-of-heath estimation

KW - Partial charging method

KW - Lithium-ion battery

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U2 - 10.1109/EVER.2019.8813645

DO - 10.1109/EVER.2019.8813645

M3 - Article in proceeding

SN - 978-1-7281-3703-2

BT - Proceedings of 2019 Fourteenth International Conference on Ecological Vehicles and Renewable Energies (EVER)

PB - IEEE Press

T2 - 2019 Fourteenth International Conference on Ecological Vehicles and<br/>Renewable Energies (EVER)<br/>

Y2 - 8 May 2019 through 10 May 2019

ER -

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

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Batnostic: adaptive BATtery diagNOSTIC tools for lifetime assessment of EV batteries

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

Abstract

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Keywords

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Batnostic: adaptive BATtery diagNOSTIC tools for lifetime assessment of EV batteries

Cite this