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 language | English |
|---|---|
| Pages (from-to) | 716-732 |
| Number of pages | 17 |
| Journal | Renewable and Sustainable Energy Reviews |
| Volume | 80 |
| DOIs | |
| State | Published - 2017 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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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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