Model-based condition monitoring of a vanadium redox flow battery
The safe, efficient and durable utilization of a vanadium redox flow battery (VRB) requires accurate monitoring of its state of charge (SOC) and capacity decay. This paper focuses on the unbiased model parameter identification and model-based monitoring of both the SOC and capacity decay of a VRB. S...
| 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/10356/141904 |
| _version_ | 1811692085204484096 |
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| author | Meng, Shujuan Xiong, Binyu Lim, Tuti Mariana |
| author2 | School of Civil and Environmental Engineering |
| author_facet | School of Civil and Environmental Engineering Meng, Shujuan Xiong, Binyu Lim, Tuti Mariana |
| author_sort | Meng, Shujuan |
| collection | NTU |
| description | The safe, efficient and durable utilization of a vanadium redox flow battery (VRB) requires accurate monitoring of its state of charge (SOC) and capacity decay. This paper focuses on the unbiased model parameter identification and model-based monitoring of both the SOC and capacity decay of a VRB. Specifically, a first-order resistor-capacitance (RC) model was used to simulate the dynamics of the VRB. A recursive total least squares (RTLS) method was exploited to attenuate the impact of external disturbances and accurately track the change of model parameters in realtime. The RTLS-based identification method was further integrated with an H-infinity filter (HIF)-based state estimator to monitor the SOC and capacity decay of the VRB in real-time. Experiments were carried out to validate the proposed method. The results suggested that the proposed method can achieve unbiased model parameter identification when unexpected noises corrupt the current and voltage measurements. SOC and capacity decay can also be estimated accurately in real-time without requiring additional open-circuit cells. |
| first_indexed | 2024-10-01T06:30:10Z |
| format | Journal Article |
| id | ntu-10356/141904 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:30:10Z |
| publishDate | 2020 |
| record_format | dspace |
| spelling | ntu-10356/1419042020-06-11T08:28:40Z Model-based condition monitoring of a vanadium redox flow battery Meng, Shujuan Xiong, Binyu Lim, Tuti Mariana School of Civil and Environmental Engineering Engineering::Civil engineering State of Charge Capacity Decay The safe, efficient and durable utilization of a vanadium redox flow battery (VRB) requires accurate monitoring of its state of charge (SOC) and capacity decay. This paper focuses on the unbiased model parameter identification and model-based monitoring of both the SOC and capacity decay of a VRB. Specifically, a first-order resistor-capacitance (RC) model was used to simulate the dynamics of the VRB. A recursive total least squares (RTLS) method was exploited to attenuate the impact of external disturbances and accurately track the change of model parameters in realtime. The RTLS-based identification method was further integrated with an H-infinity filter (HIF)-based state estimator to monitor the SOC and capacity decay of the VRB in real-time. Experiments were carried out to validate the proposed method. The results suggested that the proposed method can achieve unbiased model parameter identification when unexpected noises corrupt the current and voltage measurements. SOC and capacity decay can also be estimated accurately in real-time without requiring additional open-circuit cells. Published version 2020-06-11T08:28:40Z 2020-06-11T08:28:40Z 2019 Journal Article Meng, S., Xiong, B., & Lim, T. M. (2019). Model-based condition monitoring of a vanadium redox flow battery. Energies, 12(15), 3005-. doi:10.3390/en12153005 1996-1073 https://hdl.handle.net/10356/141904 10.3390/en12153005 2-s2.0-85070337286 15 14 en Energies © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). application/pdf |
| spellingShingle | Engineering::Civil engineering State of Charge Capacity Decay Meng, Shujuan Xiong, Binyu Lim, Tuti Mariana Model-based condition monitoring of a vanadium redox flow battery |
| title | Model-based condition monitoring of a vanadium redox flow battery |
| title_full | Model-based condition monitoring of a vanadium redox flow battery |
| title_fullStr | Model-based condition monitoring of a vanadium redox flow battery |
| title_full_unstemmed | Model-based condition monitoring of a vanadium redox flow battery |
| title_short | Model-based condition monitoring of a vanadium redox flow battery |
| title_sort | model based condition monitoring of a vanadium redox flow battery |
| topic | Engineering::Civil engineering State of Charge Capacity Decay |
| url | https://hdl.handle.net/10356/141904 |
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