Real-time monitoring of capacity loss for vanadium redox flow battery
The long-term operation of the vanadium redox flow battery is accompanied by ion diffusion across the separator and side reactions, which can lead to electrolyte imbalance and capacity loss. The accurate online monitoring of capacity loss is therefore valuable for the reliable and efficient operatio...
| Main Authors: | , , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2020
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/141210 |
| _version_ | 1826127944819408896 |
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| author | Wei, Zhongbao Bhattarai, Arjun Zou, Changfu Meng, Shujuan Lim, Tuti Mariana Skyllas-Kazacos, Maria |
| author2 | School of Civil and Environmental Engineering |
| author_facet | School of Civil and Environmental Engineering Wei, Zhongbao Bhattarai, Arjun Zou, Changfu Meng, Shujuan Lim, Tuti Mariana Skyllas-Kazacos, Maria |
| author_sort | Wei, Zhongbao |
| collection | NTU |
| description | The long-term operation of the vanadium redox flow battery is accompanied by ion diffusion across the separator and side reactions, which can lead to electrolyte imbalance and capacity loss. The accurate online monitoring of capacity loss is therefore valuable for the reliable and efficient operation of vanadium redox flow battery system. In this paper, a model-based online monitoring method is proposed to detect capacity loss in the vanadium redox flow battery in real time. A first-order equivalent circuit model is built to capture the dynamics of the vanadium redox flow battery. The model parameters are online identified from the onboard measureable signals with the recursive least squares, in seeking to keep a high modeling accuracy and robustness under a wide range of working scenarios. Based on the online adapted model, an observer is designed with the extended Kalman Filter to keep tracking both the capacity and state of charge of the battery in real time. Experiments are conducted on a lab-scale battery system. Results suggest that the online adapted model is able to simulate the battery behavior with high accuracy. The capacity loss as well as the state of charge can be estimated accurately in a real-time manner. |
| first_indexed | 2024-10-01T07:16:49Z |
| format | Journal Article |
| id | ntu-10356/141210 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:16:49Z |
| publishDate | 2020 |
| record_format | dspace |
| spelling | ntu-10356/1412102021-01-14T07:18:44Z Real-time monitoring of capacity loss for vanadium redox flow battery Wei, Zhongbao Bhattarai, Arjun Zou, Changfu Meng, Shujuan Lim, Tuti Mariana Skyllas-Kazacos, Maria School of Civil and Environmental Engineering Energy Research Institute @ NTU (ERI@N) Engineering::Civil engineering Battery Modeling Parameter Identification The long-term operation of the vanadium redox flow battery is accompanied by ion diffusion across the separator and side reactions, which can lead to electrolyte imbalance and capacity loss. The accurate online monitoring of capacity loss is therefore valuable for the reliable and efficient operation of vanadium redox flow battery system. In this paper, a model-based online monitoring method is proposed to detect capacity loss in the vanadium redox flow battery in real time. A first-order equivalent circuit model is built to capture the dynamics of the vanadium redox flow battery. The model parameters are online identified from the onboard measureable signals with the recursive least squares, in seeking to keep a high modeling accuracy and robustness under a wide range of working scenarios. Based on the online adapted model, an observer is designed with the extended Kalman Filter to keep tracking both the capacity and state of charge of the battery in real time. Experiments are conducted on a lab-scale battery system. Results suggest that the online adapted model is able to simulate the battery behavior with high accuracy. The capacity loss as well as the state of charge can be estimated accurately in a real-time manner. 2020-06-05T02:22:08Z 2020-06-05T02:22:08Z 2018 Journal Article Wei, Z., Bhattarai, A., Zou, C., Meng, S., Lim, T. M., & Skyllas-Kazacos, M. (2018). Real-time monitoring of capacity loss for vanadium redox flow battery. Journal of Power Sources, 390, 261-269. doi:10.1016/j.jpowsour.2018.04.063 0378-7753 https://hdl.handle.net/10356/141210 10.1016/j.jpowsour.2018.04.063 2-s2.0-85046022142 390 261 269 en Journal of Power Sources © 2018 Elsevier B.V. All rights reserved. |
| spellingShingle | Engineering::Civil engineering Battery Modeling Parameter Identification Wei, Zhongbao Bhattarai, Arjun Zou, Changfu Meng, Shujuan Lim, Tuti Mariana Skyllas-Kazacos, Maria Real-time monitoring of capacity loss for vanadium redox flow battery |
| title | Real-time monitoring of capacity loss for vanadium redox flow battery |
| title_full | Real-time monitoring of capacity loss for vanadium redox flow battery |
| title_fullStr | Real-time monitoring of capacity loss for vanadium redox flow battery |
| title_full_unstemmed | Real-time monitoring of capacity loss for vanadium redox flow battery |
| title_short | Real-time monitoring of capacity loss for vanadium redox flow battery |
| title_sort | real time monitoring of capacity loss for vanadium redox flow battery |
| topic | Engineering::Civil engineering Battery Modeling Parameter Identification |
| url | https://hdl.handle.net/10356/141210 |
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