Residual-based fault diagnosis for thermal management systems of proton exchange membrane fuel cells. (1st November 2020)
- Record Type:
- Journal Article
- Title:
- Residual-based fault diagnosis for thermal management systems of proton exchange membrane fuel cells. (1st November 2020)
- Main Title:
- Residual-based fault diagnosis for thermal management systems of proton exchange membrane fuel cells
- Authors:
- Oh, Hwanyeong
Lee, Won-Yong
Won, Jinyeon
Kim, Minjin
Choi, Yoon-Young
Han, Soo-Bin - Abstract:
- Highlights: Hierarchical fault diagnosis using residuals for fuel cell systems is proposed. Four residuals are used to diagnose thermal management systems. Initial faults of the pumps, thermocouples, and heat exchanger are diagnosed. The component faults can be diagnosed based on distinct residual patterns. This method contributes to the development of fuel cell health management systems. Abstract: Fuel cells are considered a highly efficient and eco-friendly alternative for energy production. However, for successful commercialization of fuel cells, it is necessary to ensure the reliability of fuel cell systems. This study proposes a real-time fault detection and diagnosis method for the thermal management system, one of the important balance of plants in proton exchange membrane fuel cell systems. A hierarchical method is developed for fault detection and diagnosis using the residuals which are differences between the analytical redundancies and the measured values as indicators. The analytical redundancies are calculated with regression models. The proposed method consists of two steps. After faults are classified into the thermal management system at the subsystem level diagnosis in the first step, specific component faults are diagnosed in the second step. The residual of the heat transfer rate is used in the first step, and the additional residuals related to two coolant flow rates and one coolant temperature are used in the second step. When faults occurred in theHighlights: Hierarchical fault diagnosis using residuals for fuel cell systems is proposed. Four residuals are used to diagnose thermal management systems. Initial faults of the pumps, thermocouples, and heat exchanger are diagnosed. The component faults can be diagnosed based on distinct residual patterns. This method contributes to the development of fuel cell health management systems. Abstract: Fuel cells are considered a highly efficient and eco-friendly alternative for energy production. However, for successful commercialization of fuel cells, it is necessary to ensure the reliability of fuel cell systems. This study proposes a real-time fault detection and diagnosis method for the thermal management system, one of the important balance of plants in proton exchange membrane fuel cell systems. A hierarchical method is developed for fault detection and diagnosis using the residuals which are differences between the analytical redundancies and the measured values as indicators. The analytical redundancies are calculated with regression models. The proposed method consists of two steps. After faults are classified into the thermal management system at the subsystem level diagnosis in the first step, specific component faults are diagnosed in the second step. The residual of the heat transfer rate is used in the first step, and the additional residuals related to two coolant flow rates and one coolant temperature are used in the second step. When faults occurred in the pumps, sensors, and heat exchanger, the experimental results showed that the residual-based method accurately diagnosed the causes and locations of problems in fuel cell systems. … (more)
- Is Part Of:
- Applied energy. Volume 277(2020)
- Journal:
- Applied energy
- Issue:
- Volume 277(2020)
- Issue Display:
- Volume 277, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 277
- Issue:
- 2020
- Issue Sort Value:
- 2020-0277-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-11-01
- Subjects:
- Polymer electrolyte fuel cell -- Fault diagnosis -- Analytical redundancy -- Regression analysis -- Residual -- Fuel cell health management
Power (Mechanics) -- Periodicals
Energy conservation -- Periodicals
Energy conversion -- Periodicals
621.042 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03062619 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.apenergy.2020.115568 ↗
- Languages:
- English
- ISSNs:
- 0306-2619
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1572.300000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 14539.xml