4.8 Review

A review of stochastic battery models and health management

期刊

RENEWABLE & SUSTAINABLE ENERGY REVIEWS
卷 80, 期 -, 页码 716-732

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.rser.2017.05.127

关键词

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

资金

  1. National Natural Science Foundation of China [61603016, 51575021]
  2. Fundamental Research Funds for the Central Universities [YWF-16-BJ-J-18]
  3. China Postdoctoral Science Foundation [166482]

向作者/读者索取更多资源

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.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据