Time series analysis of high energy density lithium-ion batteries for electric vehicles applications

Hani Mustafataher M Almadni, Babakalli Alkali, Gyorgy Balint Lak, Ray Ansell

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

The use of Lithium-ion secondary batteries in electric vehicles has now become a key component of high-performance energy storage systems. There are various factors that contribute significantly to the reduction in battery performance and subsequent damage of battery cells. The factors associated with battery degradation as a result of the charging and discharge rate is not new and has been investigated widely by many researchers. The maximum amount of electrical charge that a battery can store and deliver normally decreases over time. This capacity fade phenomenon is as a result of various degradation mechanisms within the battery. The degradation mechanisms are random in nature and in this paper, the degradation mechanisms associated with the change of battery cells electrical impedance, capacity and the life cycle are conducted. The 18650 battery cells is tested for 23 cycles on a trickle charge and the designated samples from each battery is subjected to different set temperatures range of (20°C-55 °C) at a constant time per experiment. Statistical analysis of the data is conducted using time series approach, and a reliability model is proposed in an attempt to predict the degradation or failure and hence improve the battery performance.

Original languageEnglish
Title of host publicationProceedings of the 16th International Conference on Condition Monitoring and Asset Management, BINDT 2019
Number of pages13
DOIs
Publication statusPublished - 27 Jun 2019

ASJC Scopus subject areas

  • Mechanical Engineering
  • Safety, Risk, Reliability and Quality
  • Industrial and Manufacturing Engineering

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