BibTex RIS Cite

Dynamic Modeling and Analysis of Power Sharing Control Strategy Based Fuel Cell/Battery Assisted Hybrid Electric Vehicle System

Year 2015, Volume: 5 Issue: 1, 139 - 150, 01.03.2015

Abstract

A dynamic modeling of Fuel cell/Battery assisted hybrid electric vehicle system is presented in this article and two suitable power sharing control strategies are integrated into the system with the objective of minimizing the fuel consumption and maximizing the battery life through its safe operating limit. This prominent goal is accomplished into the developed hybrid vehicle system by incorporating suitable control strategies without compromising the drivability of the vehicle. The proposed hybrid electric vehicle is capable of sustaining the peak power demand and utilizes the regenerative power in an effective manner for charging the energy storage system which could be possible with the relative power control strategy. In this paper, the proposed vehicle is modeled for its different hybridized configurations utilizing the model components such as dynamic PEM-Fuel Cell (PEMFC) system modeled by NARX network, Ni-MH battery system, DC/AC converters, PMAC traction motor and a power sharing controller. The proposed hybrid electric vehicle with two control strategies are modeled and evaluated in a MATLAB/Simulink environment. Simulations and comparison results shows that the PEMFC system assisted by battery during peak power demand accomplishes an improved fuel economy of hydrogen consumption and maximizes the battery SOC at the end of the driving schedule in a safe operating limit, which has a greater influence on the battery life cycle. Also, a comparative analysis is performed for the suitable selection of PMAC motor power rating to be adopted into the proposed vehicle model based on the fuel economy and efficient utilization of the battery.

References

  • BP Statistical Review of World Energy, June 2007, www.bp.com/statisticalreview.
  • R. Von Helmolt and U. Eberle, “Fuel cell vehicles: Status 2007”, Journal of Power Sources, vol. 165, pp. 833-843, 2007.
  • K. Mammar and A. Chaker, “Neural Network-Based Modeling of PEM fuel cell and Controller Syn thesis of a stand-alone International Journal of Computer Science Issues (IJCSI), vol. 9, pp. 244-253, 2012.
  • S. Jemei, D. Hissel, M.C. Pera, and J.M. Kauffmann, “A New Modeling Approach of Embedded Fuel-Cell Power Generators Based on Artificial Neural Network”, IEEE Transactions on Industrial Electronics, vol. 55, pp. 437- 447. 2008.
  • M. Sedighizadeh, M. Rezaei and V. Najmi, “A Predictive control based on Neural Network for Proton Exchange Membrane Fuel Cell”, World Academy of Science, Engineering and Technology, vol.5, pp. 395- 399, 2011.
  • S.V. Puranik, A. Keyhani and F. Khorrami, “Neural Network Modeling of Proton Exchange Membrane Fuel Cell”, IEEE Transactions on Energy Conversion, vol. 25, pp. 474-483, 2010.
  • Sudaryono, Soebagio and Mochamad Ashari, “Modeling and Simulation of Electric Vehicle fed by PEM Fuel Cell”, International Journal of Engineering Science Invention, vol.2, pp. 121-126, 2013.
  • Sudaryono, Soebagio and Mochamad Ashari, “Neural Network Model of Polymer Electrolyte Membran Fuel Cell for Electrical Vehicle”, Journal of Theoretical and Applied Information Technology, vol. 49, pp. 32-37, 2013.
  • J. Larminie and D. Dicks, “Fuel Cell Systems Explained”, 1st ed., New York: Wiley, pp. 29–52.
  • J.T Pukrushpan, A.G. Stefanopoulou and H. Peng, “Control of fuel cell breathing”, IEEE Control System Magazine, vol. 24, pp. 30–46, 2004
  • T.E. Springer, T.A. Zawodzinski and S. Gottesfeld, “Polymer electrolyte fuel cell model”, Journal of Electrochemical Society, vol. 138, pp. 2334–2342, 1991.
  • S. Pasricha and S.R. Shaw, “A dynamic PEM fuel cell model”, IEEE Transactions on Energy Conversion, vol. 21, pp. 484–490, 2006.
  • C. Wang, M. H. Nehrir and S. R. Shaw, “Dynamic models and model validation for PEM fuel cells using electrical circuits”, IEEE Transactions on Energy Conversion, vol. 20, pp. 442–451, 2005.
  • W. Friede, S. Rael, and B. Davat, “Mathematical model and characterization of the transient behavior of a PEM fuel cell”, IEEE Transactions on Power Electronics, vol. 19, pp. 1234–1241, 2004.
  • M. Karthik and S. Vijayachitra, “An integrated exploration dynamics on the performance of a stand-alone 5-kW Ballard fuel-cell system for its scale-up design”, Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, vol. 228, pp. 836- 852, 2014. and water management
  • C. H. Lee and J.T. Yang, “Modeling of the Ballard - Mark-V proton exchange membrane fuel cell with power converters for applications in autonomous underwater vehicles”, Journal of Power Sources, vol.196, pp. 3810-3823, 2011.
  • M. Karthik and S. Vijayachitra, “ Investigation of water management dynamics on the performance of a Ballard - Mark-V proton exchange membrane fuel cell stack system”, International Journal of Electrochemical Science, vol. 8, pp. 7885-7904, 2013.
  • Cardoso, J. Ferriera, V. Alves and R.E. Araujo, “The Design and Implementation of an Electric Go Kart for Education in Motor Control”, IEEE International Symposium on Power Electronics, Electrical Drives, Automation and Motion, pp. 1489-1494, 2006.
  • S. Castillo, N.K. Samala, K. Manwaring, B. Izadi and D. Radhakrishnan, “Experimental Analysis of Batteries under Continuous And Intermittent Operations”, Proceedings of the International Conference on Embedded Systems and Applications, pp. 18-24, 2004.
  • Panasonic HHR 650D Ni-MH Battery: Individual Data Sheet for its discharge characteristics, Panasonic Inc.
  • M. Karthik and S. Vijayachitra, “Numerical Study on the Detailed Characterization of Ni-MH Battery Model for its Dynamic Behavior using Multi-Regression Analysis–MRA”, Computing and Engineering, vol. 4, pp. 34-43, 2015.
  • B. Lin, “Conceptual design and modeling of a fuel cell scooter for urban Asia”, Journal of Power Sources, vol. 86, pp. 202-213, 2000.
  • L. Bostock and S. Chandler, “Applied mathematics”, 1st Volume, Nelson Thornes, pp. 29, 1975.
Year 2015, Volume: 5 Issue: 1, 139 - 150, 01.03.2015

Abstract

References

  • BP Statistical Review of World Energy, June 2007, www.bp.com/statisticalreview.
  • R. Von Helmolt and U. Eberle, “Fuel cell vehicles: Status 2007”, Journal of Power Sources, vol. 165, pp. 833-843, 2007.
  • K. Mammar and A. Chaker, “Neural Network-Based Modeling of PEM fuel cell and Controller Syn thesis of a stand-alone International Journal of Computer Science Issues (IJCSI), vol. 9, pp. 244-253, 2012.
  • S. Jemei, D. Hissel, M.C. Pera, and J.M. Kauffmann, “A New Modeling Approach of Embedded Fuel-Cell Power Generators Based on Artificial Neural Network”, IEEE Transactions on Industrial Electronics, vol. 55, pp. 437- 447. 2008.
  • M. Sedighizadeh, M. Rezaei and V. Najmi, “A Predictive control based on Neural Network for Proton Exchange Membrane Fuel Cell”, World Academy of Science, Engineering and Technology, vol.5, pp. 395- 399, 2011.
  • S.V. Puranik, A. Keyhani and F. Khorrami, “Neural Network Modeling of Proton Exchange Membrane Fuel Cell”, IEEE Transactions on Energy Conversion, vol. 25, pp. 474-483, 2010.
  • Sudaryono, Soebagio and Mochamad Ashari, “Modeling and Simulation of Electric Vehicle fed by PEM Fuel Cell”, International Journal of Engineering Science Invention, vol.2, pp. 121-126, 2013.
  • Sudaryono, Soebagio and Mochamad Ashari, “Neural Network Model of Polymer Electrolyte Membran Fuel Cell for Electrical Vehicle”, Journal of Theoretical and Applied Information Technology, vol. 49, pp. 32-37, 2013.
  • J. Larminie and D. Dicks, “Fuel Cell Systems Explained”, 1st ed., New York: Wiley, pp. 29–52.
  • J.T Pukrushpan, A.G. Stefanopoulou and H. Peng, “Control of fuel cell breathing”, IEEE Control System Magazine, vol. 24, pp. 30–46, 2004
  • T.E. Springer, T.A. Zawodzinski and S. Gottesfeld, “Polymer electrolyte fuel cell model”, Journal of Electrochemical Society, vol. 138, pp. 2334–2342, 1991.
  • S. Pasricha and S.R. Shaw, “A dynamic PEM fuel cell model”, IEEE Transactions on Energy Conversion, vol. 21, pp. 484–490, 2006.
  • C. Wang, M. H. Nehrir and S. R. Shaw, “Dynamic models and model validation for PEM fuel cells using electrical circuits”, IEEE Transactions on Energy Conversion, vol. 20, pp. 442–451, 2005.
  • W. Friede, S. Rael, and B. Davat, “Mathematical model and characterization of the transient behavior of a PEM fuel cell”, IEEE Transactions on Power Electronics, vol. 19, pp. 1234–1241, 2004.
  • M. Karthik and S. Vijayachitra, “An integrated exploration dynamics on the performance of a stand-alone 5-kW Ballard fuel-cell system for its scale-up design”, Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, vol. 228, pp. 836- 852, 2014. and water management
  • C. H. Lee and J.T. Yang, “Modeling of the Ballard - Mark-V proton exchange membrane fuel cell with power converters for applications in autonomous underwater vehicles”, Journal of Power Sources, vol.196, pp. 3810-3823, 2011.
  • M. Karthik and S. Vijayachitra, “ Investigation of water management dynamics on the performance of a Ballard - Mark-V proton exchange membrane fuel cell stack system”, International Journal of Electrochemical Science, vol. 8, pp. 7885-7904, 2013.
  • Cardoso, J. Ferriera, V. Alves and R.E. Araujo, “The Design and Implementation of an Electric Go Kart for Education in Motor Control”, IEEE International Symposium on Power Electronics, Electrical Drives, Automation and Motion, pp. 1489-1494, 2006.
  • S. Castillo, N.K. Samala, K. Manwaring, B. Izadi and D. Radhakrishnan, “Experimental Analysis of Batteries under Continuous And Intermittent Operations”, Proceedings of the International Conference on Embedded Systems and Applications, pp. 18-24, 2004.
  • Panasonic HHR 650D Ni-MH Battery: Individual Data Sheet for its discharge characteristics, Panasonic Inc.
  • M. Karthik and S. Vijayachitra, “Numerical Study on the Detailed Characterization of Ni-MH Battery Model for its Dynamic Behavior using Multi-Regression Analysis–MRA”, Computing and Engineering, vol. 4, pp. 34-43, 2015.
  • B. Lin, “Conceptual design and modeling of a fuel cell scooter for urban Asia”, Journal of Power Sources, vol. 86, pp. 202-213, 2000.
  • L. Bostock and S. Chandler, “Applied mathematics”, 1st Volume, Nelson Thornes, pp. 29, 1975.
There are 23 citations in total.

Details

Primary Language English
Journal Section Articles
Authors

Karthik Murugesan This is me

Vijayachitra Sennıappan This is me

Publication Date March 1, 2015
Published in Issue Year 2015 Volume: 5 Issue: 1

Cite

APA Murugesan, K., & Sennıappan, V. (2015). Dynamic Modeling and Analysis of Power Sharing Control Strategy Based Fuel Cell/Battery Assisted Hybrid Electric Vehicle System. International Journal Of Renewable Energy Research, 5(1), 139-150.
AMA Murugesan K, Sennıappan V. Dynamic Modeling and Analysis of Power Sharing Control Strategy Based Fuel Cell/Battery Assisted Hybrid Electric Vehicle System. International Journal Of Renewable Energy Research. March 2015;5(1):139-150.
Chicago Murugesan, Karthik, and Vijayachitra Sennıappan. “Dynamic Modeling and Analysis of Power Sharing Control Strategy Based Fuel Cell/Battery Assisted Hybrid Electric Vehicle System”. International Journal Of Renewable Energy Research 5, no. 1 (March 2015): 139-50.
EndNote Murugesan K, Sennıappan V (March 1, 2015) Dynamic Modeling and Analysis of Power Sharing Control Strategy Based Fuel Cell/Battery Assisted Hybrid Electric Vehicle System. International Journal Of Renewable Energy Research 5 1 139–150.
IEEE K. Murugesan and V. Sennıappan, “Dynamic Modeling and Analysis of Power Sharing Control Strategy Based Fuel Cell/Battery Assisted Hybrid Electric Vehicle System”, International Journal Of Renewable Energy Research, vol. 5, no. 1, pp. 139–150, 2015.
ISNAD Murugesan, Karthik - Sennıappan, Vijayachitra. “Dynamic Modeling and Analysis of Power Sharing Control Strategy Based Fuel Cell/Battery Assisted Hybrid Electric Vehicle System”. International Journal Of Renewable Energy Research 5/1 (March 2015), 139-150.
JAMA Murugesan K, Sennıappan V. Dynamic Modeling and Analysis of Power Sharing Control Strategy Based Fuel Cell/Battery Assisted Hybrid Electric Vehicle System. International Journal Of Renewable Energy Research. 2015;5:139–150.
MLA Murugesan, Karthik and Vijayachitra Sennıappan. “Dynamic Modeling and Analysis of Power Sharing Control Strategy Based Fuel Cell/Battery Assisted Hybrid Electric Vehicle System”. International Journal Of Renewable Energy Research, vol. 5, no. 1, 2015, pp. 139-50.
Vancouver Murugesan K, Sennıappan V. Dynamic Modeling and Analysis of Power Sharing Control Strategy Based Fuel Cell/Battery Assisted Hybrid Electric Vehicle System. International Journal Of Renewable Energy Research. 2015;5(1):139-50.