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

Daniel-Ioan Stroe; Erik Schaltz

doi:10.1109/ECCE.2018.8557998

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

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

13 Citations (Scopus)

742 Downloads (Pure)

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.

Original language	English
Title of host publication	Proceedings of the 2018 IEEE Energy Conversion Congress and Exposition (ECCE)
Number of pages	6
Publisher	IEEE Press
Publication date	Sep 2018
Pages	2720-2725
ISBN (Print)	978-1-4799-7313-2
ISBN (Electronic)	978-1-4799-7312-5
DOIs	https://doi.org/10.1109/ECCE.2018.8557998
Publication status	Published - Sep 2018
Event	IEEE Energy Conversion Congress & Exposition ECCE 2018 - Portland, United States Duration: 23 Sep 2018 → 27 Sep 2018 http://www.ieee-ecce.org/2018/

Conference

Conference	IEEE Energy Conversion Congress & Exposition ECCE 2018
Country/Territory	United States
City	Portland
Period	23/09/2018 → 27/09/2018
Internet address	http://www.ieee-ecce.org/2018/

Series	IEEE Energy Conversion Congress and Exposition
ISSN	2329-3721

Keywords

Lithium-ion Battery
SOH Estimation
Electric Vehicle
Incremental Capacity Analysis

Access to Document

10.1109/ECCE.2018.8557998

SOH Estimation of LMO-NMC-based Electric Vehicle Lithium-Ion Batteries Using the Incremental Capacity Analysis TechniqueAccepted author manuscript, 1.08 MB

https://ieeexplore.ieee.org/document/8557998

Batnostic: adaptive BATtery diagNOSTIC tools for lifetime assessment of EV batteries
Schaltz, E. & Stroe, D.
EUDP
01/01/2016 → 31/12/2018
Project: Research

Cite this

@inproceedings{ad9f94f33de7442d93b0bac87ce4ca0c,

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",

author = "Daniel-Ioan Stroe and Erik Schaltz",

year = "2018",

month = sep,

doi = "10.1109/ECCE.2018.8557998",

language = "English",

isbn = "978-1-4799-7313-2",

series = "IEEE Energy Conversion Congress and Exposition",

pages = "2720--2725",

booktitle = "Proceedings of the 2018 IEEE Energy Conversion Congress and Exposition (ECCE)",

publisher = "IEEE Press",

note = "IEEE Energy Conversion Congress & Exposition ECCE 2018 ; Conference date: 23-09-2018 Through 27-09-2018",

url = "http://www.ieee-ecce.org/2018/",

}

Stroe, D-I & Schaltz, E 2018, SOH Estimation of LMO/NMC-based Electric Vehicle Lithium-Ion Batteries Using the Incremental Capacity Analysis Technique. in Proceedings of the 2018 IEEE Energy Conversion Congress and Exposition (ECCE). IEEE Press, IEEE Energy Conversion Congress and Exposition, pp. 2720-2725, IEEE Energy Conversion Congress & Exposition ECCE 2018, Portland, Oregon, United States, 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. p. 2720-2725 (IEEE Energy Conversion Congress and Exposition).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - SOH Estimation of LMO/NMC-based Electric Vehicle Lithium-Ion Batteries Using the Incremental Capacity Analysis Technique

AU - Stroe, Daniel-Ioan

AU - Schaltz, Erik

PY - 2018/9

Y1 - 2018/9

N2 - 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.

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.

KW - Lithium-ion Battery

KW - SOH Estimation

KW - Electric Vehicle

KW - Incremental Capacity Analysis

U2 - 10.1109/ECCE.2018.8557998

DO - 10.1109/ECCE.2018.8557998

M3 - Article in proceeding

SN - 978-1-4799-7313-2

T3 - IEEE Energy Conversion Congress and Exposition

SP - 2720

EP - 2725

BT - Proceedings of the 2018 IEEE Energy Conversion Congress and Exposition (ECCE)

PB - IEEE Press

T2 - IEEE Energy Conversion Congress & Exposition ECCE 2018

Y2 - 23 September 2018 through 27 September 2018

ER -

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

Abstract

Conference

Keywords

Access to Document

Fingerprint

Projects

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

Cite this