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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

科研成果: 期刊稿件文献综述同行评审

摘要

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.

源语言英语
页(从-至)716-732
页数17
期刊Renewable and Sustainable Energy Reviews
80
DOI
出版状态已出版 - 2017

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. 可持续发展目标 7 - 经济适用的清洁能源
    可持续发展目标 7 经济适用的清洁能源

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