드라이브 ㆍ 컨트롤 (Journal of Drive and Control)

  • 제16권2호
  • /
  • Pages.80-90
  • /
  • 2019
  • /
  • 2671-7972(pISSN)
  • /
  • 2671-7980(eISSN)
유공압건설기계학회 (The Korean Society for Fluid Power and Construction Equipment)
권호 표지
DOI QR코드

DOI QR Code

Modeling and Energy Management Strategy in Energetic Macroscopic Representation for a Fuel Cell Hybrid Electric Vehicle

  • Dinh, To Xuan (Graduate school of Mechanical Engineering, University of Ulsan) ;
  • Thuy, Le Khac (Department of Electrical Engineering, Le Quy Don Technical University) ;
  • Tien, Nguyen Thanh (Department of Electrical Engineering, Le Quy Don Technical University) ;
  • Dang, Tri Dung (Graduate school of Mechanical Engineering, University of Ulsan) ;
  • Ho, Cong Minh (Graduate school of Mechanical Engineering, University of Ulsan) ;
  • Truong, Hoai Vu Anh (Graduate school of Mechanical Engineering, University of Ulsan) ;
  • Dao, Hoang Vu (Graduate school of Mechanical Engineering, University of Ulsan) ;
  • Do, Tri Cuong (Graduate school of Mechanical Engineering, University of Ulsan) ;
  • Ahn, Kyoung Kwan (School of Mechanical Engineering, University of Ulsan)
  • 투고 : 2019.04.05
  • 심사 : 2019.05.24
  • 발행 : 2019.06.01
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

Fuel cell hybrid electric vehicle is an attractive solution to reduce pollutants, such as noise and carbon dioxide emission. This study presents an approach for energy management and control algorithm based on energetic macroscopic representation for a fuel cell hybrid electric vehicle that is powered by proton exchange membrane fuel cell, battery and supercapacitor. First, the detailed model of the fuel cell hybrid electric vehicle, including fuel cell, battery, supercapacitor, DC-DC converters and powertrain system, are built on the energetic macroscopic representation. Next, the power management strategy was applied to manage the energy among the three power sources. Moreover, the control scheme that was based on back-stepping sliding mode control and inversed-model control techniques were deduced. Simulation tests that used a worldwide harmonized light vehicle test procedure standard driving cycle showed the effectiveness of the proposed control method.

키워드

참고문헌

  1. M. Zandi et al., "Energy Management of a Fuel Cell/Supercapacitor/Battery Power Source for Electric Vehicular Applications", IEEE Transactions on Vehicular Technology, Vol.60, No.2, pp.433-443, 2011. https://doi.org/10.1109/TVT.2010.2091433
  2. P. Thounthong, S. Raël and B. Davat, "Energy management of fuel cell/battery/supercapacitor hybrid power source for vehicle applications", Journal of Power Sources, Vol.193, No.1, pp.376-385, 2009. https://doi.org/10.1016/j.jpowsour.2008.12.120
  3. T. D. Dang et al., "Design, Modeling and Analysis of a PEM Fuel Cell Excavator with Supercapacitor/Battery Hybrid Power Source", Journal of Drive and Control, Vol.16, No.1, pp.45-53, 2019. https://doi.org/10.7839/ksfc.2019.16.1.045
  4. K. Ettihir et al., "Design of an adaptive EMS for fuel cell vehicles", International Journal of Hydrogen Energy, Vol.42, No.2, pp.1481-1489, 2017. https://doi.org/10.1016/j.ijhydene.2016.07.211
  5. Y.-X. Yu and K. K. Ahn, "Optimization of energy regeneration of hybrid hydraulic excavator boom system", Energy Conversion and Management, Vol.183, pp.26-34, 2019. https://doi.org/10.1016/j.enconman.2018.12.084
  6. J. S. Joh, "A Review on New Non-hybrid Technologies to Improve Energy Efficiency of Construction Machineries", Journal of Drive and Control, Vol.13, No.3, pp.53-66, 2016. https://doi.org/10.7839/ksfc.2016.13.3.053
  7. Y. X. Yu, E. J. Jeong and K. K. Ahn, "Review of Energy Saving Technology of Hybrid Construction Machine", Journal of Drive and Control, Vol.15, No.4, pp.91-100, 2018. https://doi.org/10.7839/ksfc.2018.15.4.091
  8. J. Y. Huh, "Energy Saving in Boom Motion of Excavators using IMV", Journal of Drive and Control, Vol.14, No.3, pp.1-7, 2017. https://doi.org/10.7839/KSFC.2017.14.3.001
  9. L. Boulon et al., "From Modeling to Control of a PEM Fuel Cell Using Energetic Macroscopic Representation", IEEE Transactions on Industrial Electronics, Vol.57, No.6, pp.1882-1891, 2010. https://doi.org/10.1109/TIE.2009.2026760
  10. A. Bouscayrol et al., "Energetic Macroscopic Representation and Inversion-Based Control Illustrated on a Wind-Energy-Conversion System Using Hardware-in-the-Loop Simulation", IEEE Transactions on Industrial Electronics, Vol.56, No.12, pp.4826-4835, 2009. https://doi.org/10.1109/TIE.2009.2013251
  11. G. L. Lopez et al., "Hybrid PEMFC-supercapacitor system: Modeling and energy management in energetic macroscopic representation", Applied Energy, Vol.205, pp.1478-1494, 2017. https://doi.org/10.1016/j.apenergy.2017.08.063
  12. M. R. Barakat et al., "Energetic Macroscopic Representation of a Marine Current Turbine System with Loss Minimization Control", IEEE Transactions on Sustainable Energy, Vol.9, No.1, pp.106-117, 2018. https://doi.org/10.1109/TSTE.2017.2716926
  13. S. N. Motapon, O. Tremblay and L.-A. Dessaint, "Development of a generic fuel cell model: application to a fuel cell vehicle simulation", International Journal of Power Electronics, Vol.4, No.6, pp.505-522, 2012. https://doi.org/10.1504/IJPELEC.2012.052427
  14. R. C. Kroeze and P. T. Krein, "Electrical battery model for use in dynamic electric vehicle simulations", Proceedings of 2008 IEEE Power Electronics Specialists Conference, pp.1336-1342, Rhodes, Greece, 2008.
  15. R. Xiong et al., "Modeling for Lithium-Ion Battery used in Electric Vehicles", Procedia Engineering, Vol.15, pp.2869-2874, 2011. https://doi.org/10.1016/j.proeng.2011.08.540
  16. H. He, R. Xiong and J. Fan, "Evaluation of Lithium-Ion Battery Equivalent Circuit Models for State of Charge Estimation by an Experimental Approach", Energies, Vol.4, No.4, 2011.
  17. X. Hu, S. Li and H. Peng, "A comparative study of equivalent circuit models for Li-ion batteries", Journal of Power Sources, Vol.198, pp.359-367, 2012. https://doi.org/10.1016/j.jpowsour.2011.10.013
  18. H. He et al., "Comparison study on the battery models used for the energy management of batteries in electric vehicles", Energy Conversion and Management, Vol.64, pp.113-121, 2012. https://doi.org/10.1016/j.enconman.2012.04.014
  19. J. H. Chang, F. P. Dawson and K. Lian, "A first principles approach to develop a dynamic model of electrochemical capacitors", Proceedings of The 2010 International Power Electronics Conference - ECCE ASIA-, pp.2382-2389, Sapporo, Japan, 2010.
  20. B. K. Kim et al., Electrochemical Supercapacitors for Energy Storage and Conversion, Handbook of Clean Energy Systems, John Wiley & Sons, Ltd., New York, pp. 2015.
  21. L. Zhang et al., "A review of supercapacitor modeling, estimation, and applications: A control/management perspective", Renewable and Sustainable Energy Reviews, Vol.81, Pt. 2, pp.1868-1878, 2018. https://doi.org/10.1016/j.rser.2017.05.283
  22. S.-H. Kim et al., "Advanced Dynamic Simulation of Supercapacitors Considering Parameter Variation and Self-Discharge", IEEE Transactions on Power Electronics, Vol.26, No.11, pp.3377-3385, 2011. https://doi.org/10.1109/TPEL.2011.2136388
  23. P. Saha, S. Dey and M. Khanra, "Modeling and State-of-Charge Estimation of Supercapacitor Considering Leakage Effect", IEEE Transactions on Industrial Electronics, pp.1-1, 2019.
  24. A. Castaings et al., "Practical control schemes of a battery/supercapacitor system for electric vehicle", IET Electrical Systems in Transportation, Vol.6, No.1, pp.20-26, 2016. https://doi.org/10.1049/iet-est.2015.0011
  25. L. Gauchia et al., "Fuel cell, battery and supercapacitor hybrid system for electric vehicle: Modeling and control via energetic macroscopic representation", Proceedings of 2011 IEEE Vehicle Power and Propulsion Conference, Chicago, IL, USA, 2011.
  26. M. J. Blondin et al.,"Metaheuristic Optimization for Backstepping Control and Inversion Based Control from EMR for an Electric Vehicle", Proceedings of 2018 IEEE Vehicle Power and Propulsion Conference (VPPC), Chicago, IL, USA, 2018.

피인용 문헌

  1. Energy Management Strategy of a PEM Fuel Cell Excavator with a Supercapacitor/Battery Hybrid Power Source vol.12, pp.22, 2019, https://doi.org/10.3390/en12224362
  2. Mapping Fuzzy Energy Management Strategy for PEM Fuel Cell-Battery-Supercapacitor Hybrid Excavator vol.13, pp.13, 2019, https://doi.org/10.3390/en13133387
  3. Independent Metering Valve: A Review of Advances in Hydraulic Machinery vol.17, pp.4, 2019, https://doi.org/10.7839/ksfc.2020.17.4.054
  4. A Boom Energy Regeneration System of Hybrid Hydraulic Excavator Using Energy Conversion Components vol.10, pp.1, 2021, https://doi.org/10.3390/act10010001