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

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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 languageEnglish
Title of host publicationProceedings of the 2018 IEEE Energy Conversion Congress and Exposition (ECCE)
Number of pages6
PublisherIEEE Press
Publication dateSept 2018
Pages2720-2725
ISBN (Print)978-1-4799-7313-2
ISBN (Electronic)978-1-4799-7312-5
DOIs
Publication statusPublished - Sept 2018
EventIEEE Energy Conversion Congress & Exposition ECCE 2018 - Portland, United States
Duration: 23 Sept 201827 Sept 2018
http://www.ieee-ecce.org/2018/

Conference

ConferenceIEEE Energy Conversion Congress & Exposition ECCE 2018
Country/TerritoryUnited States
CityPortland
Period23/09/201827/09/2018
Internet address
SeriesIEEE Energy Conversion Congress and Exposition
ISSN2329-3721

Keywords

  • Lithium-ion Battery
  • SOH Estimation
  • Electric Vehicle
  • Incremental Capacity Analysis

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