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Remaining capacity estimation of Li-ion batteries based on temperature sample entropy and particle filter

  • Junfu Li
  • , Chao Lyu*
  • , Lixin Wang
  • , Liqiang Zhang
  • , Chenhui Li
  • *Corresponding author for this work
  • School of Electrical Engineering and Automation, Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

Currently, safety issue on Li-ion battery caused by thermal stability is one of the main factors that restricts its developmental application. In this paper, from a perspective of heat generation, we present a method to estimate remaining capacity of single Li-ion battery. Sample entropy (SampEn) is employed for the calculation of surface temperature in charging process and the relationship between SampEn and capacity fading in aging process is built. Considering various factors of capacity attenuation, an intelligent estimation approach is proposed by the combination of SampEn and particle filter (PF).

Original languageEnglish
Pages (from-to)895-903
Number of pages9
JournalJournal of Power Sources
Volume268
DOIs
StatePublished - 5 Dec 2014
Externally publishedYes

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

  • Particle filter
  • Remaining capacity
  • Sample entropy
  • Thermal stability

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