Battery energy storage system modeling: A combined comprehensive approach
| Autor: | Tung Fai Yu, George Baure, James Marco, W. Dhammika Widanage, Carlos Pastor-Fernández, Matthieu Dubarry |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Renewable Energy
Sustainability and the Environment Computer science business.industry TK 020209 energy Energy Engineering and Power Technology 02 engineering and technology Modular design 021001 nanoscience & nanotechnology Battery energy storage system Battery pack Reliability engineering Task (computing) Work (electrical) 0202 electrical engineering electronic engineering information engineering Grid energy storage Electrical and Electronic Engineering 0210 nano-technology business |
| Zdroj: | Journal of Energy Storage. 21:172-185 |
| ISSN: | 2352-152X |
| DOI: | 10.1016/j.est.2018.11.012 |
| Popis: | Battery pack modeling is essential to improve the understanding of large battery energy storage systems, whether for transportation or grid storage. It is an extremely complex task as packs could be composed of thousands of cells that are not identical and will not degrade homogeneously. This paper presents a new approach toward battery pack modeling by combining several previously published models into a comprehensive framework. This work describes how the sub-models are connected, their basic principles, what adjustments were necessary, and what new parameters needed to be introduced. Overall, this paper introduces an open modular framework for future work on, among others, the impact of cell-to-cell variations, inhomogeneous degradation, SOC and SOH tracking, balancing and performance forecast. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect