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Open circuit voltage and state of charge online estimation for lithium ion batteries

  • Rui Xiong*
  • , Quanqing Yu
  • , Le Yi Wang
  • *Corresponding author for this work
  • Beijing Institute of Technology
  • Wayne State University

Research output: Contribution to journalConference articlepeer-review

Abstract

Open circuit voltage (OCV), as a nonlinear function of state of charge (SoC) of lithium ion battery, commonly obtained through offline OCV test at certain ambient temperatures and aging stages. The OCV-SoC relationship may be inaccurate in real application due to the difference in operation conditions. In this paper, the OCV is identified by H infinity filter (HIF) in real operation conditions. Due to the no need to derive the jacobian matrices with unscented Kalman filter (UKF), the identified discrete OCV points are propagated to state estimation process instead of the traditional OCV-SoC nonlinear function. Additionally, the polarization voltage across the polarization capacitor is also passed to state estimation in the form of discrete data points. The experimental results demonstrate that the HIF-UKF can obtain the OCV and SoC in real time.

Original languageEnglish
Pages (from-to)1902-1907
Number of pages6
JournalEnergy Procedia
Volume142
DOIs
StatePublished - 2017
Externally publishedYes
Event9th International Conference on Applied Energy, ICAE 2017 - Cardiff, United Kingdom
Duration: 21 Aug 201724 Aug 2017

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Adaptive H infinity filter
  • Adaptive unscented kalman filter
  • Open circuit voltage
  • Type your keywords here
  • separated by semicolons
  • state of chage

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