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Power management based on sliding control applied to fuel cell systems: A further step towards the hybrid control concept

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  • Segura, Francisca
  • Andújar, José Manuel

Abstract

This paper proposes a novel solution to power management based on sliding control techniques. Most of solutions to power management over fuel cell systems are based on traditional constant frequency control techniques like peak, valley and average current or voltage control or other kind of control techniques like PID controllers which act over switching devices on power conditioning stages (DC/DC converters). However, variable frequency control techniques like sliding control are widely used to control the hydrogen and oxidant supply (Balance of Plant, BOP) on PEM fuel cell stacks, but not on power management. In this paper, authors give a further step, and they join constant and variable frequency control techniques to establish the power management in fuel cell hybrid systems. That is, the power supplied by sources in a hybrid system is regulated applying hybrid control based on combining peak, valley or average current control (traditionally associated with fixed frequency), and sliding control techniques (variable frequency technique). Features like stability, precision, easy to implement and speed derive from this hybrid control concept. Simulation results of real system will show different power management solutions based on hybrid control applied to different topologies of fuel cell based systems.

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  • Segura, Francisca & Andújar, José Manuel, 2012. "Power management based on sliding control applied to fuel cell systems: A further step towards the hybrid control concept," Applied Energy, Elsevier, vol. 99(C), pages 213-225.
    • Handle: RePEc:eee:appene:v:99:y:2012:i:c:p:213-225
    DOI: 10.1016/j.apenergy.2012.04.047
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    References listed on IDEAS

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    1. Bizon, N., 2011. "Nonlinear control of fuel cell hybrid power sources: Part I - Voltage control," Applied Energy, Elsevier, vol. 88(7), pages 2559-2573, July.
    2. Bizon, N., 2011. "Nonlinear control of fuel cell hybrid power sources: Part II - Current control," Applied Energy, Elsevier, vol. 88(7), pages 2574-2591, July.
    3. Andújar, J.M. & Segura, F. & Vasallo, M.J., 2008. "A suitable model plant for control of the set fuel cell−DC/DC converter," Renewable Energy, Elsevier, vol. 33(4), pages 813-826.
    4. Bizon, N., 2010. "On tracking robustness in adaptive extremum seeking control of the fuel cell power plants," Applied Energy, Elsevier, vol. 87(10), pages 3115-3130, October.
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    Citations

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    1. De las Heras, A. & Vivas, F.J. & Segura, F. & Redondo, M.J. & Andújar, J.M., 2018. "Air-cooled fuel cells: Keys to design and build the oxidant/cooling system," Renewable Energy, Elsevier, vol. 125(C), pages 1-20.
    2. Xu, Liangfei & Mueller, Clemens David & Li, Jianqiu & Ouyang, Minggao & Hu, Zunyan, 2015. "Multi-objective component sizing based on optimal energy management strategy of fuel cell electric vehicles," Applied Energy, Elsevier, vol. 157(C), pages 664-674.
    3. Xu, Jiamin & Zhang, Caizhi & Wan, Zhongmin & Chen, Xi & Chan, Siew Hwa & Tu, Zhengkai, 2022. "Progress and perspectives of integrated thermal management systems in PEM fuel cell vehicles: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
    4. Andújar, J.M. & Segura, F. & Isorna, F. & Calderón, A.J., 2018. "Comprehensive diagnosis methodology for faults detection and identification, and performance improvement of Air-Cooled Polymer Electrolyte Fuel Cells," Renewable and Sustainable Energy Reviews, Elsevier, vol. 88(C), pages 193-207.
    5. Hong, Taehoon & Kim, Daeho & Koo, Choongwan & Kim, Jimin, 2014. "Framework for establishing the optimal implementation strategy of a fuel-cell-based combined heat and power system: Focused on multi-family housing complex," Applied Energy, Elsevier, vol. 127(C), pages 11-24.
    6. Matraji, Imad & Laghrouche, Salah & Jemei, Samir & Wack, Maxime, 2013. "Robust control of the PEM fuel cell air-feed system via sub-optimal second order sliding mode," Applied Energy, Elsevier, vol. 104(C), pages 945-957.
    7. Hou, Junbo & Yang, Min & Ke, Changchun & Zhang, Junliang, 2020. "Control logics and strategies for air supply in PEM fuel cell engines," Applied Energy, Elsevier, vol. 269(C).
    8. Wang, Yujie & Sun, Zhendong & Chen, Zonghai, 2019. "Energy management strategy for battery/supercapacitor/fuel cell hybrid source vehicles based on finite state machine," Applied Energy, Elsevier, vol. 254(C).
    9. Francisca Segura & José Manuel Andújar, 2015. "Modular PEM Fuel Cell SCADA & Simulator System," Resources, MDPI, vol. 4(3), pages 1-21, September.
    10. Kang, Sanggyu & Min, Kyoungdoug, 2016. "Dynamic simulation of a fuel cell hybrid vehicle during the federal test procedure-75 driving cycle," Applied Energy, Elsevier, vol. 161(C), pages 181-196.
    11. Bizon, Nicu, 2014. "Tracking the maximum efficiency point for the FC system based on extremum seeking scheme to control the air flow," Applied Energy, Elsevier, vol. 129(C), pages 147-157.
    12. Wang, Yujie & Sun, Zhendong & Chen, Zonghai, 2019. "Development of energy management system based on a rule-based power distribution strategy for hybrid power sources," Energy, Elsevier, vol. 175(C), pages 1055-1066.
    13. da Fonseca, R. & Bideaux, E. & Gerard, M. & Jeanneret, B. & Desbois-Renaudin, M. & Sari, A., 2014. "Control of PEMFC system air group using differential flatness approach: Validation by a dynamic fuel cell system model," Applied Energy, Elsevier, vol. 113(C), pages 219-229.
    14. Xu, Liangfei & Ouyang, Minggao & Li, Jianqiu & Yang, Fuyuan & Lu, Languang & Hua, Jianfeng, 2013. "Optimal sizing of plug-in fuel cell electric vehicles using models of vehicle performance and system cost," Applied Energy, Elsevier, vol. 103(C), pages 477-487.
    15. Bizon, Nicu, 2013. "Energy harvesting from the FC stack that operates using the MPP tracking based on modified extremum seeking control," Applied Energy, Elsevier, vol. 104(C), pages 326-336.

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