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Degradation model prediction for battery of electric vehicle based on hidden Markov model

  • Harbin Institute of Technology Shenzhen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper proposed a new method based on hidden Markov model (HMM) to distinguish the degradation mode of the battery of electric vehicle. In the process of describing the degradation process of battery of electric vehicle, degradation models under dynamic running conditions need to be analyzed in order to effectively forecast the remaining useful mileage and life of battery. First, the paper performs cluster analysis of the battery's charge and discharge curves to find out the degradation mode of the battery. Then HMM is applied to research the dynamic changes of the degradation mode and predict future degradation mode sequences. Finally, experimental analysis based on battery's charge and discharge data from NASA proves the effectiveness of the proposed approach.

Original languageEnglish
Title of host publicationApplied Mechanics, Materials and Manufacturing
Pages492-495
Number of pages4
DOIs
StatePublished - 2013
Externally publishedYes
Event2013 International Conference on Applied Mechanics, Materials, and Manufacturing, AMMM 2013 - Hong Kong, China
Duration: 17 Aug 201318 Aug 2013

Publication series

NameApplied Mechanics and Materials
Volume378
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Conference

Conference2013 International Conference on Applied Mechanics, Materials, and Manufacturing, AMMM 2013
Country/TerritoryChina
CityHong Kong
Period17/08/1318/08/13

Keywords

  • Battery of electric vehicle
  • Degradation model
  • Hidden Markov model
  • Prediction

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