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A review of stochastic battery models and health management

  • Science & Technology on Reliability & Environmental Engineering Laboratory
  • University of Toronto
  • Iran University of Science and Technology
  • Contemporary Amperex Technology Limited
  • Beihang University

Research output: Contribution to journalReview articlepeer-review

Abstract

Batteries are promising sources of green and sustainable energy that have been widely used in various applications. Battery modelling as the basis of battery management system is vital for both technology development and applications of batteries. Compared with other battery models, stochastic battery models feature high accuracy and low time consumption. Moreover, charging profile, battery behavior, and discharging profile can all be considered to optimize battery performance and usage, which is a key issue in battery usage in real life. Given the significance of stochastic modelling and the progress of battery health management, this paper reviews various aspects of related studies and developments from different fields, while identifying their corresponding merits and weaknesses. Remaining challenges are discussed, and several suggestions are offered as possible inspirations for further research.

Original languageEnglish
Pages (from-to)716-732
Number of pages17
JournalRenewable and Sustainable Energy Reviews
Volume80
DOIs
StatePublished - 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

  • Battery health management
  • Battery modelling
  • Markov chain
  • Renewable energy storage
  • Stochastic modelling
  • Stochastic process

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