• DocumentCode
    3709001
  • Title

    SOH Estimation and Prediction for NMC Cells Based on Degradation Mechanism Detection

  • Author

    M. Berecibar;N. Omar;M. Garmendia;M. Dubarry;I. Villarreal;P. Van den Bossche;Joeri Van Mierlo

  • Author_Institution
    Energy Bussines Unit, IK4-Ikerlan, Minano, Spain
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Accurate on board State of Health (SOH) estimation is a key Battery Management System (BMS) function to provide optimal management of the battery system under control. In this regard, this paper presents an extensive study of the degradation mechanism of NMC/Graphite cells based on the study of both incremental capacity (IC) and differential voltage (DV) curves. Moreover, based on the obtained IC curves, a linear relationship was identified between capacity and IC peak intensity for both calendar and cycling ageing. This novel characteristic allows to estimate and even to predict the SOH of NMC/graphite cells.
  • Keywords
    "Integrated circuits","Degradation","Batteries","Aging","Discharges (electric)","Estimation","Electrodes"
  • Publisher
    ieee
  • Conference_Titel
    Vehicle Power and Propulsion Conference (VPPC), 2015 IEEE
  • Type

    conf

  • DOI
    10.1109/VPPC.2015.7353020
  • Filename
    7353020