Skip to main content

Design and Comparative Analysis of Various Intelligent Controller Based Efficiency Improvement of Fuel Cell System

  • Conference paper
  • First Online:
Emerging Trends in Expert Applications and Security

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 841))

  • 1249 Accesses

Abstract

In last decade, the growth of fuel cell power system based research has been reached enormous. A fuel cell’s output power depends nonlinearly on the current or voltage due to fuel flow rate, and there exists a unique maximum power point (MPP). Thus, a maximum power point tracking (MPPT) controller is needed to continuously deliver the highest possible power to the load when variations in operation conditions occur. This paper concentrates to analysis and improves the efficiency of PEM fuel cell using various intelligent controllers’ techniques based MPPT. The various intelligent controllers have been designed in MATLAB environment and applied PEM fuel Cell power system. The simulation results are evaluated and compared with each other. Finally, the optimum intelligent controller has been chosen based on their performance in improvement of fuel cell efficiency under nonlinear operating conditions.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Somaiah B, Agarwal V (2016) Distributed maximum power extraction from fuel cell stack arrays using dedicated power converters in series and parallel configuration. IEEE Trans Energy Convers 31(4):1442–1451

    Article  Google Scholar 

  2. Wang MH, Huang ML, Jiang WJ, Liou KJ (2016) Maximum power point tracking control method for proton exchange membrane fuel cell. IET Renew Power Gener 10(7):908–915

    Article  Google Scholar 

  3. Rezk H (2016) Performance of incremental resistance MPPT based proton exchange membrane fuel cell power system. In: 2016 eighteenth international middle east power systems conference (MEPCON), Cairo, pp 199–205

    Google Scholar 

  4. Patil SN, Prasad RC (2015) Design and development of MPPT algorithm for high efficient DC-DC converter for solar energy system connected to grid. In: 2015 international conference on energy systems and applications, Pune, pp 228–233

    Google Scholar 

  5. Karami N, Khoury LE, Khoury G, Moubayed N (2014) Comparative study between P&O and incremental conductance for fuel cell MPPT. In: International conference on renewable energies for developing countries 2014, Beirut, pp 17–22

    Google Scholar 

  6. Ramos-Paja CA, Spagnuolo G, Petrone G, Giral R, Romero A (2010) Fuel cell MPPT for fuel consumption optimization. In: Proceedings of 2010 IEEE international symposium on circuits and systems, Paris, pp 2199–2202

    Google Scholar 

  7. Rezk H (2016) Performance of incremental resistance MPPT based proton exchange membrane fuel cell power system. In: 2016 eighteenth international middle east power systems conference (MEPCON), Cairo, pp 199–205

    Google Scholar 

  8. Ettihir K, Boulon L, Agbossou K, Kelouwani S (2012) MPPT control strategy on PEM fuel cell low speed vehicle. In: 2012 IEEE vehicle power and propulsion conference, Seoul, pp 926–931

    Google Scholar 

  9. Karami N, Outbib R, Moubayed N (2012) Fuel flow control of a PEM fuel cell with MPPT. In: 2012 IEEE international symposium on intelligent control, Dubrovnik, pp 289–294

    Google Scholar 

  10. Pachauri RK, Chauhan YK (2014) Hydrogen generation/pressure enhancement using FC and ANN based MPPT assisted PV system. In: 2014 innovative applications of computational intelligence on power, energy and controls with their impact on humanity (CIPECH), Ghaziabad, pp 427–432

    Google Scholar 

  11. Mane S, Kadam P, Lahoti G, Kazi F, Singh NM (2016) Optimal load balancing strategy for hybrid energy management system in DC microgrid with PV, fuel cell and battery storage. In: 2016 IEEE international conference on renewable energy research and applications (ICRERA), Birmingham, pp 851–856

    Google Scholar 

  12. Liu J, Zhao T, Chen Y (2017) Maximum power point tracking with fractional order high pass filter for proton exchange membrane fuel cell. IEEE/CAA J Automatica Sinica 4(1):70–79

    Article  MathSciNet  Google Scholar 

  13. Gördesel M, Canan B, Günlü G, Sanlı AE (2015) Fuel cell powered hybrid system controlled by the maximum peak power tracking technique. In: 2015 twelve international conference on electronics computer and computation (ICECCO), Almaty, pp 1–3

    Google Scholar 

  14. Djoudi H, Badji A, Benyahia N, Zaouia M, Denoun H, Benamrouche N (2015) Modeling and power management control of the photovoltaic and fuel cell/electrolyzer system for stand-alone applications. In: 2015 4th international conference on electrical engineering (ICEE), Boumerdes, pp 1–6

    Google Scholar 

  15. Venkateshkumar M, Sarathkumar G, Britto S (2013) Intelligent control based MPPT method for fuel cell power system. In: 2013 international conference on renewable energy and sustainable energy (ICRESE), Coimbatore, pp 253–257

    Google Scholar 

  16. Sarvi M, Barati MM (2010) Voltage and current based MPPT of fuel cells under variable temperature conditions. In: 45th international universities power engineering conference UPEC2010, Cardiff, Wales, pp 1–4

    Google Scholar 

  17. Ramos-Paja CA, Spagnuolo G, Petrone G, Giral R, Romero A (2010) Fuel cell MPPT for fuel consumption optimization. In: Proceedings of 2010 IEEE international symposium on circuits and systems, Paris, pp 2199–2202

    Google Scholar 

  18. Venkateshkumar M, Indumathi R (2017) Comparative analysis of hybrid intelligent controller based MPPT of fuel cell power system. In: 2017 IEEE international conference on smart technologies and management for computing, communication, controls, energy and materials (ICSTM), Chennai, pp 155–159

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to M. Venkateshkumar .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Venkateshkumar, M., Raghavan, R., Indumathi, R., Sukumar, S. (2019). Design and Comparative Analysis of Various Intelligent Controller Based Efficiency Improvement of Fuel Cell System. In: Rathore, V., Worring, M., Mishra, D., Joshi, A., Maheshwari, S. (eds) Emerging Trends in Expert Applications and Security. Advances in Intelligent Systems and Computing, vol 841. Springer, Singapore. https://doi.org/10.1007/978-981-13-2285-3_33

Download citation

Publish with us

Policies and ethics