SOH Estimation of LMO/NMC-based Electric Vehicle Lithium-Ion Batteries Using the Incremental Capacity Analysis Technique

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Resumé

The implementation of an accurate but also low computational demanding state-of-health (SOH) estimation algorithm represents a key challenge for the battery management systems in electric vehicle (EV) applications. In this paper we investigate the suitability of the incremental capacity analysis (ICA) technique for estimating the capacity fade and subsequently the SOH of LMO/NMC-based EV Lithium-ion batteries. Based on ageing results collected during eleven months of testing, we were able to accurately relate the capacity fade of the studied batteries to the evolution of the voltage value, which corresponds to one of the incremental capacity (IC) valleys, obtained using the ICA technique.
OriginalsprogEngelsk
TitelProceedings of the 2018 IEEE Energy Conversion Congress and Exposition (ECCE)
Antal sider6
ForlagIEEE Press
Publikationsdatosep. 2018
Sider2720-2725
ISBN (Trykt)978-1-4799-7313-2
ISBN (Elektronisk)978-1-4799-7312-5
DOI
StatusUdgivet - sep. 2018
BegivenhedIEEE Energy Conversion Congress & Exposition ECCE 2018 - Portland, USA
Varighed: 23 sep. 201827 sep. 2018
http://www.ieee-ecce.org/2018/

Konference

KonferenceIEEE Energy Conversion Congress & Exposition ECCE 2018
LandUSA
ByPortland
Periode23/09/201827/09/2018
Internetadresse
NavnIEEE Energy Conversion Congress and Exposition
ISSN2329-3721

Fingerprint

Electric vehicles
Health
Aging of materials
Testing
Electric potential
Lithium-ion batteries
Battery management systems

Citer dette

Stroe, D-I., & Schaltz, E. (2018). SOH Estimation of LMO/NMC-based Electric Vehicle Lithium-Ion Batteries Using the Incremental Capacity Analysis Technique. I Proceedings of the 2018 IEEE Energy Conversion Congress and Exposition (ECCE) (s. 2720-2725). IEEE Press. IEEE Energy Conversion Congress and Exposition https://doi.org/10.1109/ECCE.2018.8557998
Stroe, Daniel-Ioan ; Schaltz, Erik. / SOH Estimation of LMO/NMC-based Electric Vehicle Lithium-Ion Batteries Using the Incremental Capacity Analysis Technique. Proceedings of the 2018 IEEE Energy Conversion Congress and Exposition (ECCE). IEEE Press, 2018. s. 2720-2725 (IEEE Energy Conversion Congress and Exposition).
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title = "SOH Estimation of LMO/NMC-based Electric Vehicle Lithium-Ion Batteries Using the Incremental Capacity Analysis Technique",
abstract = "The implementation of an accurate but also low computational demanding state-of-health (SOH) estimation algorithm represents a key challenge for the battery management systems in electric vehicle (EV) applications. In this paper we investigate the suitability of the incremental capacity analysis (ICA) technique for estimating the capacity fade and subsequently the SOH of LMO/NMC-based EV Lithium-ion batteries. Based on ageing results collected during eleven months of testing, we were able to accurately relate the capacity fade of the studied batteries to the evolution of the voltage value, which corresponds to one of the incremental capacity (IC) valleys, obtained using the ICA technique.",
keywords = "Lithium-ion Battery, SOH Estimation, Electric Vehicle, Incremental Capacity Analysis",
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Stroe, D-I & Schaltz, E 2018, SOH Estimation of LMO/NMC-based Electric Vehicle Lithium-Ion Batteries Using the Incremental Capacity Analysis Technique. i Proceedings of the 2018 IEEE Energy Conversion Congress and Exposition (ECCE). IEEE Press, IEEE Energy Conversion Congress and Exposition, s. 2720-2725, Portland, USA, 23/09/2018. https://doi.org/10.1109/ECCE.2018.8557998

SOH Estimation of LMO/NMC-based Electric Vehicle Lithium-Ion Batteries Using the Incremental Capacity Analysis Technique. / Stroe, Daniel-Ioan; Schaltz, Erik.

Proceedings of the 2018 IEEE Energy Conversion Congress and Exposition (ECCE). IEEE Press, 2018. s. 2720-2725 (IEEE Energy Conversion Congress and Exposition).

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

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AB - The implementation of an accurate but also low computational demanding state-of-health (SOH) estimation algorithm represents a key challenge for the battery management systems in electric vehicle (EV) applications. In this paper we investigate the suitability of the incremental capacity analysis (ICA) technique for estimating the capacity fade and subsequently the SOH of LMO/NMC-based EV Lithium-ion batteries. Based on ageing results collected during eleven months of testing, we were able to accurately relate the capacity fade of the studied batteries to the evolution of the voltage value, which corresponds to one of the incremental capacity (IC) valleys, obtained using the ICA technique.

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KW - SOH Estimation

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KW - Incremental Capacity Analysis

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Stroe D-I, Schaltz E. SOH Estimation of LMO/NMC-based Electric Vehicle Lithium-Ion Batteries Using the Incremental Capacity Analysis Technique. I Proceedings of the 2018 IEEE Energy Conversion Congress and Exposition (ECCE). IEEE Press. 2018. s. 2720-2725. (IEEE Energy Conversion Congress and Exposition). https://doi.org/10.1109/ECCE.2018.8557998