Challenges and developments of automotive fuel cell hybrid power system and control

Science China Information Sciences volume 62, Article number: 51201 (2019) Cite this article

Abstract

Fuel cells are emerging as promising power sources and have attracted increasing attention from industries and academics worldwide. In particular, automotive manufacturers are replacing internal combustion engines in vehicles with fuel cell systems, which are advantaged by zero emissions, high efficiency, and various clean routes that generate pure hydrogen. However, current fuel cell systems are costly, and their corresponding infrastructures are not fully qualified to meet current market demand. This paper reviews the challenges and developments of automotive fuel cell hybrid power systems and their controls. It briefly summarizes the model, control, and optimization issue associated with the research and application of fuel cells in hybrid power systems. After presenting the basic knowledge and discussing the trending size and structure of fuel cells for automotive usage, the review describes models of automotive fuel cell systems, focusing on the electrochemical reaction dynamics and the key parameters influencing their efficiency and lifetime. The control problems associated with automotive fuel cell systems as well as the optimization issue associated with hybrid energy systems (comprising fuel cells, batteries, and ultra-capacitors) are elaborately analyzed. The review concludes with current problems and challenges faced by the energy control systems of fuel cell vehicles.

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References

  1. 1

    U.S. Energy Information Administration. Monthly energy review. 2018. https://doi.org/www.eia.gov/totalenergy/data/monthly/

    Google Scholar 

  2. 2

    California Fuel Cell Partnership. A california road map: the commercialization of hydrogen fuel cell vehicles. 2012. https://doi.org/cafcp.org/sites/default/files/A%20California%20Road%20Map%20June%202012%20%28CaFCP%20technical%20version%29.pdf

    Google Scholar 

  3. 3

    U.S. DRIVE (Driving Research and Innovation for Vehicle efficiency and Energy sustainability). Fuel cell technical team roadmap. 2013. https://doi.org/wwwl.eere.energy.gov/vehiclesandfuels/pdfs/program/us_drive_partnership_plan_mar2013.pdf

    Google Scholar 

  4. 4

    European Commission. Hydrogen energy and fuel cells: a vision of our future. 2003. https://doi.org/www.fch.europa.eu/sites/default/files/documents/hlg_vision_report_en.pdf

    Google Scholar 

  5. 5

    Public Works and Government Services Canada. Canadian fuel cell commercialization roadmap update — progress of Canada’s Hydrogen and fuel cell industry. 2008. https://doi.org/www.chfca.ca/media/FC%20Comercialization%20Roadmap%20EN%202008(1).pdf

    Google Scholar 

  6. 6

    E4tech and Element Energy. Hydrogen and fuel cells: opportunities for growth: a roadmap for the UK. 2016. https://doi.org/www.e4tech.com/wp-content/uploads/2016/11/UKHFC-Roadmap-Final-Main-Report-171116.pdf

    Google Scholar 

  7. 7

    International Energy Agency. Technology roadmap: Hydrogen and fuel cells. 2015. https://doi.org/www.iea.org/publications/freepublications/publication/TechnologyRoadmapHydrogenandFuelCells.pdf

    Google Scholar 

  8. 8

    Daud W R W, Rosli R E, Majlan E H, et al. PEM fuel cell system control: a review. Renew Energy, 2017, 113: 620–638

    Article  Google Scholar 

  9. 9

    Das V, Padmanaban S, Venkitusamy K, et al. Recent advances and challenges of fuel cell based power system architectures and control — a review. Renew Sustain Energy Rev, 2017, 73: 10–18

    Article  Google Scholar 

  10. 10

    Barbir F, Yazici S. Status and development of PEM fuel cell technology. Int J Energy Res, 2008, 32: 369–378

    Article  Google Scholar 

  11. 11

    Pollet B G, Staffell I, Shang J L. Current status of hybrid, battery and fuel cell electric vehicles: from electrochemistry to market prospects. Electrochim Acta, 2012, 84: 235–249

    Article  Google Scholar 

  12. 12

    Eudy L, Post M, Gikakis C. Fuel Cell Buses in U.S. Transit Fleets: Current Status 2015. National Renewable Energy Laboratory Technical Report NREL/TP-5400-64974, 2015

    Google Scholar 

  13. 13

    U.S. Department of Energy Hydrogen and Fuel Cells Program. 2017 annual merit rewiew and peer evaluation report. 2017. https://doi.org/www.hydrogen.energy.gov/annual_reviewl7_report.html

    Google Scholar 

  14. 14

    Hua T, Ahluwalia R, Eudy L, et al. Status of hydrogen fuel cell electric buses worldwide. J Power Source, 2014, 269: 975–993

    Article  Google Scholar 

  15. 15

    Nishikawa H, Sasou H, Kurihara R, et al. High fuel utilization operation of pure hydrogen fuel cells. Int J Hydrogen Energy, 2008, 33: 6262–6269

    Article  Google Scholar 

  16. 16

    Han I S, Jeong J, Shin H K. PEM fuel-cell stack design for improved fuel utilization. Int J Hydrogen Energy, 2013, 38: 11996–12006

    Article  Google Scholar 

  17. 17

    Nonobe Y. Development of the fuel cell vehicle mirai. IEEJ Trans Elec Electron Eng, 2017, 12: 5–9

    Article  Google Scholar 

  18. 18

    Emadi A, Williamson S S, Khaligh A. Power electronics intensive solutions for advanced electric, hybrid electric, and fuel cell vehicular power systems. IEEE Trans Power Electron, 2006, 21: 567–577

    Article  Google Scholar 

  19. 19

    Das H S, Tan C W, Yatim A H M. Fuel cell hybrid electric vehicles: a review on power conditioning units and topologies. Renew Sustain Energy Rev, 2017, 76: 268–291

    Article  Google Scholar 

  20. 20

    Kim S. Physical damage of polymer electrolyte fuel cells subject to freezing. Dissertation for Ph.D. Degree. State College: The Pennsylvania State University, 2008

    Google Scholar 

  21. 21

    Wöhr M, Bolwin K, Schnurnberger W, et al. Dynamic modelling and simulation of a polymer membrane fuel cell including mass transport limitation. Int J Hydrogen Energy, 1998, 23: 213–218

    Article  Google Scholar 

  22. 22

    Asl S M S, Rowshanzamir S, Eikani M H. Modelling and simulation of the steady-state and dynamic behaviour of a PEM fuel cell. Energy, 2010, 35: 1633–1646

    Article  Google Scholar 

  23. 23

    Saengrung A, Abtahi A, Zilouchian A. Neural network model for a commercial PEM fuel cell system. J Power Source, 2007, 172: 749–759

    Article  Google Scholar 

  24. 24

    Rakhshanpouri S, Rowshanzamir S. Water transport through a PEM (proton exchange membrane) fuel cell in a seven-layer model. Energy, 2013, 50: 220–231

    Article  Google Scholar 

  25. 25

    Le A D, Zhou B. A general model of proton exchange membrane fuel cell. J Power Source, 2008, 182: 197–222

    Article  Google Scholar 

  26. 26

    Scott K, Argyropoulos P. A current distribution model of a porous fuel cell electrode. J Electroanal Chem, 2004, 567: 103–109

    Article  Google Scholar 

  27. 27

    Shan Y, Choe S Y. A high dynamic PEM fuel cell model with temperature effects. J Power Source, 2005, 145: 30–39

    Article  Google Scholar 

  28. 28

    Thampan T, Malhotra S, Tang H, et al. Modeling of conductive transport in proton-exchange membranes for fuel cells. J Electrochem Soc, 2000, 147: 3242–3250

    Article  Google Scholar 

  29. 29

    Janssen G J M. A phenomenological model of water transport in a proton exchange membrane fuel cell. J Electrochem Soc, 2001, 148: 1313–1323

    Article  Google Scholar 

  30. 30

    Vasu G, Tangirala A K. Control-orientated thermal model for proton-exchange membrane fuel cell systems. J Power Source, 2008, 183: 98–108

    Article  Google Scholar 

  31. 31

    Nolan J, Kolodziej J. Modeling of an automotive fuel cell thermal system. J Power Source, 2010, 195: 4743–4752

    Article  Google Scholar 

  32. 32

    Amphlett J C. Performance modeling of the ballard mark IV solid polymer electrolyte fuel cell. J Electrochem Soc, 1995, 142: 9–15

    Article  Google Scholar 

  33. 33

    Kordesch K V, Simader G R. Fuel Cells and Their Applications. Weinheim: Wiley-VCH, 1996

    Google Scholar 

  34. 34

    Springer T E. Polymer electrolyte fuel cell model. J Electrochem Soc, 1991, 138: 2334–2342

    Article  Google Scholar 

  35. 35

    Guzzella L. Control oriented modelling of fuel-cell based vehicles. In: Proceedings of NSF Workshop on the Integration of Modeling and Control for Automotive Systems, 1999

    Google Scholar 

  36. 36

    Pukrushpan J T. Modeling and control of fuel cell systems and fuel processors. Dissertation for Ph.D. Degree. Ann Arbor: University of Michigan, 2003

    Google Scholar 

  37. 37

    Pathapati P R, Xue X M, Tang J T. A new dynamic model for predicting transient phenomena in a PEM fuel cell system. Renew Energy, 2005, 30: 1–22

    Article  Google Scholar 

  38. 38

    Heywood J B. Internal Combustion Engine Fundamentals. New York: McGraw-Hill, 1988

    Google Scholar 

  39. 39

    Yu S. Thermal modeling of the proton exchange membrane fuel cell. Dissertation for Ph.D. Degree. Ann Arbor: University of Michigan, 2006

    Google Scholar 

  40. 40

    Moré J J, Puleston P F, Kunusch C, et al. Temperature control of a PEM fuel cell test bench for experimental MEA assessment. Int J Hydrogen Energy, 2010, 35: 5985–5990

    Article  Google Scholar 

  41. 41

    Zhang Q, Cui N X, Shang Y L, et al. Relevance between fractional-order hybrid model and unified equivalent circuit model of electric vehicle power battery. Sci China Inf Sci, 2018, 61: 070208

    Article  Google Scholar 

  42. 42

    Rojas J D, Kunusch C, Ocampo-Martinez C, et al. Control-oriented thermal modeling methodology for water-cooled PEM fuel-cell-based systems. IEEE Trans Ind Electron, 2015, 62: 5146–5154

    Article  Google Scholar 

  43. 43

    Li X, Deng Z H, Wei D, et al. Novel variable structure control for the temperature of PEM fuel cell stack based on the dynamic thermal affine model. Energy Convers Manage, 2011, 52: 3265–3274

    Article  Google Scholar 

  44. 44

    Chen D M. Modeling and control of PEM fuel cell humiditication system. Dissertation for Ph.D. Degree. Ann Arbor: University of Michigan, 2006

    Google Scholar 

  45. 45

    Pukrushpan J T, Stefanopoulou A G, Peng H. Control of fuel cell breathing. IEEE Control Syst Mag, 2004, 24: 30–46

    MathSciNet  MATH  Google Scholar 

  46. 46

    Rakhtala S M, Noei A R, Ghaderi R, et al. Design of finite-time high-order sliding mode state observer: a practical insight to PEM fuel cell system. J Process Control, 2014, 24: 203–224

    Article  Google Scholar 

  47. 47

    Kim E S, Kim C J. Nonlinear state feedback control of PEM fuel cell systems. J Energy Power Eng, 2010, 4: 8–14

    Google Scholar 

  48. 48

    Baroud Z, Gazzam N, Benalia A, et al. Algebraic observer design for PEM fuel cell system. In: Proceedings of the 8th International Conference on Modelling, Identification and Control, 2016. 966–970

    Google Scholar 

  49. 49

    Liu J M, Lin W Y, Alsaadi F, et al. Nonlinear observer design for PEM fuel cell power systems via second order sliding mode technique. Neurocomputing, 2015, 168: 145–151

    Article  Google Scholar 

  50. 50

    Liu J X. Contributions to adaptative higher order sliding mode observers: application to fuel cell an power converters. Dissertation for Ph.D. Degree. Belfort: University of Technology of Belfort-Montbeliard, 2014

    Google Scholar 

  51. 51

    Laghrouche S, Liu J, Ahmed F S, et al. Adaptive second-order sliding mode observer-based fault reconstruction for PEM fuel cell air-feed system. IEEE Trans Control Syst Technol, 2015, 23: 1098–1109

    Article  Google Scholar 

  52. 52

    Luna J, Ocampo-Martinez C, Serra M. Nonlinear predictive control for the concentrations profile regulation under unknown reaction disturbances in a fuel cell anode gas channel. J Power Source, 2015, 282: 129–139

    Article  Google Scholar 

  53. 53

    Thomya A, Khunatorn Y. Design of control system of Hydrogen and oxygen flow rate for proton exchange membrane fuel cell using fuzzy logic controller. Energy Procedia, 2011, 9: 186–197

    Article  Google Scholar 

  54. 54

    Pukrushpan J T, Stefanopoulou A G, Peng H. Modeling and control for fuel cell stack system. In: Proceedings of American Control Conference (ACC), 2002. 3117–3122

    Google Scholar 

  55. 55

    Talj R J, Ortega R, Hilairet M. A controller tuning methodology for the air supply system of a PEM fuel-cell system with guaranteed stability properties. Int J Control, 2009, 82: 1706–1719

    MathSciNet  MATH  Article  Google Scholar 

  56. 56

    Grujicic M, Chittajallu K M, Law E H, et al. Model-based control strategies in the dynamic interaction of air supply and fuel cell. Proc Inst Mech Eng Part A-J Power Energy, 2004, 218: 487–499

    Article  Google Scholar 

  57. 57

    Torres D H, Sename O, Riu D. An LPV control approach for a fuel cell power generator air supply system. In: Proceedings of American Control Conference (ACC), 2012. 4299–4304

    Google Scholar 

  58. 58

    Hernández-Torres D, Riu D, Sename O. Reduced-order robust control of a fuel cell air supply system. IFAC-PapersOnLine, 2017, 50: 96–101

    Article  Google Scholar 

  59. 59

    Methekar R N, Prasad V, Gudi R D. Dynamic analysis and linear control strategies for proton exchange membrane fuel cell using a distributed parameter model. J Power Source, 2007, 165: 152–170

    Article  Google Scholar 

  60. 60

    Matraji I, Laghrouche S, Jemei S, et al. Robust control of the PEM fuel cell air-feed system via sub-optimal second order sliding mode. Appl Energy, 2013, 104: 945–957

    Article  Google Scholar 

  61. 61

    Garcia-Gabin W, Dorado F, Bordons C. Real-time implementation of a sliding mode controller for air supply on a PEM fuel cell. J Process Control, 2010, 20: 325–336

    Article  Google Scholar 

  62. 62

    Williams J G, Liu G, Chai S, et al. Intelligent control for improvements in PEM fuel cell flow performance. Int J Autom Comput, 2008, 5: 145–151

    Article  Google Scholar 

  63. 63

    Baroud Z, Benmiloud M, Benalia A, et al. Novel hybrid fuzzy-PID control scheme for air supply in PEM fuel-cell-based systems. Int J Hydrogen Energy, 2017, 42: 10435–10447

    Article  Google Scholar 

  64. 64

    Rgab O, Yu D L, Gomm J B. Polymer electrolyte membrane fuel cell control with feed-forward and feedback strategy. Int J Eng Sci Technol, 2010, 2: 56–66

    Google Scholar 

  65. 65

    Danzer M A, Wittmann S J, Hofer E P. Prevention of fuel cell starvation by model predictive control of pressure, excess ratio, and current. J Power Source, 2009, 190: 86–91

    Article  Google Scholar 

  66. 66

    Arce A, Ramíez D R, Real A J D, et al. Constrained explicit predictive control strategies for PEM fuel cell systems. In: Proceedings of the 46th IEEE Conference on Decision and Control, 2007. 6088–6093

    Google Scholar 

  67. 67

    Tang L, Landers R G. Coordinated control of fuel cell air supply system using model predictive control. In: Proceedings of the ASME 2010 Dynamic Systems and Control Conference, 2010. 735–741

    Google Scholar 

  68. 68

    Guo L L, Gao B Z, Li Y, et al. A fast algorithm for nonlinear model predictive control applied to HEV energy management systems. Sci China Inf Sci, 2017, 60: 092201

    Article  Google Scholar 

  69. 69

    Kim T H, Kim S H, Lim W, et al. Development of the novel control algorithm for the small proton exchange membrane fuel cell stack without external humidification. J Power Source, 2010, 195: 6008–6015

    Article  Google Scholar 

  70. 70

    Suh K W, Stefanopoulou A G. Performance limitations of air flow control in power-autonomous fuel cell systems. IEEE Trans Control Syst Technol, 2007, 15: 465–473

    Article  Google Scholar 

  71. 71

    Vahidi A, Stefanopoulou A G, Peng H. Model predictive control for starvation prevention in a hybrid fuel cell system. In: Proceeding of American Control Conference (ACC), 2004. 834–839

    Google Scholar 

  72. 72

    Sun J, Kolmanovsky I V. Load governor for fuel cell oxygen starvation protection: a robust nonlinear reference governor approach. IEEE Trans Control Syst Technol, 2005, 13: 911–920

    Article  Google Scholar 

  73. 73

    Headley A J, Chen D M, Li W. Non-uniform control volume sizing methodology for relative humidity control of proton exchange membrane fuel cells. Int J Hydrogen Energy, 2017, 42: 23170–23179

    Article  Google Scholar 

  74. 74

    Headley A, Yu V, Borduin R, et al. Development and experimental validation of a physics-based PEM fuel cell model for cathode humidity control design. IEEE/ASME Trans Mechatron, 2016, 21: 1775–1782

    Article  Google Scholar 

  75. 75

    Riascos L A M. Relative humidity control in polymer electrolyte membrane fuel cells without extra humidification. J Power Source, 2008, 184: 204–211

    Article  Google Scholar 

  76. 76

    Song M C, Pei P C, Zha H S, et al. Water management of proton exchange membrane fuel cell based on control of hydrogen pressure drop. J Power Source, 2014, 267: 655–663

    Article  Google Scholar 

  77. 77

    Pei P C, Li Y H, Xu H C, et al. A review on water fault diagnosis of PEMFC associated with the pressure drop. Appl Energy, 2016, 173: 366–385

    Article  Google Scholar 

  78. 78

    Liu Z Y, Chen J, Chen S R, et al. Modeling and control of cathode air humidity for PEM fuel cell systems. IFAC-PapersOnLine, 2017, 50: 4751–4756

    Article  Google Scholar 

  79. 79

    Haddad A, Elsoufi L, Mannah M, et al. Efficiency improvement of PEM fuel cells via humidity control. J Control Sci Eng, 2016, 4: 26–35

    Google Scholar 

  80. 80

    Noè R B, Carlos O M, Cristian K. On the anode pressure and humidity regualtion in PEM fuel cells: a nonlinear predictive control approach. IFAC-PapersOnline, 2015, 48: 434–439

    Google Scholar 

  81. 81

    Wong K H, Loo K H, Lai Y M, et al. A theoretical study of inlet relative humidity control in PEM fuel cell. Int J Hydrogen Energy, 2011, 36: 11871–11885

    Article  Google Scholar 

  82. 82

    Kim B J, Kim M S. Studies on the cathode humidification by exhaust gas recirculation for PEM fuel cell. Int J Hydrogen Energy, 2012, 37: 4290–4299

    Article  Google Scholar 

  83. 83

    Schumacher J O, Gemmar P, Denne M, et al. Control of miniature proton exchange membrane fuel cells based on fuzzy logic. J Power Source, 2004, 129: 143–151

    Article  Google Scholar 

  84. 84

    Kunde C, Hanke-Rauschenbach R, Mangold M, et al. Temperature and humidity control of a micro PEM fuel cell stack. Fuel Cell, 2010, 10: 949–959

    Article  Google Scholar 

  85. 85

    Karnik A Y, Sun J, Stefanopoulou A G, et al. Humidity and pressure regulation in a PEM fuel cell using a gain-scheduled static feedback controller. IEEE Trans Control Syst Technol, 2009, 17: 283–297

    Article  Google Scholar 

  86. 86

    McCain B A, Stefanopoulou A G, Kolmanovsky I V. On the dynamics and control of through-plane water distributions in PEM fuel cells. Chem Eng Sci, 2008, 63: 4418–4432

    Article  Google Scholar 

  87. 87

    Kolodziej J R. Thermal dynamic modeling and nonlinear control of a proton exchange membrane fuel cell stack. J Fuel Cell Sci Technol, 2007, 4: 255–260

    Article  Google Scholar 

  88. 88

    O’Keefe D, El-Sharkh M Y, Telotte J C, et al. Temperature dynamics and control of a water-cooled fuel cell stack. J Power Source, 2014, 256: 470–478

    Article  Google Scholar 

  89. 89

    Liso V, Nielsen M P, Kær S K, et al. Thermal modeling and temperature control of a PEM fuel cell system for forklift applications. Int J Hydrogen Energy, 2014, 39: 8410–8420

    Article  Google Scholar 

  90. 90

    Shao Q L, Wei D, Cao G G, et al. Dynamic thermal model and temperature control of proton exchange membrane fuel cell stack. Chinese J Chem Eng, 2005, 13: 218–224

    Google Scholar 

  91. 91

    Cheng S L, Fang C, Xu L F, et al. Model-based temperature regulation of a PEM fuel cell system on a city bus. Int J Hydrogen Energy, 2015, 40: 13566–13575

    Article  Google Scholar 

  92. 92

    Li D Z, Li C, Gao Z Q, et al. On active disturbance rejection in temperature regulation of the proton exchange membrane fuel cells. J Power Source, 2015, 283: 452–463

    Article  Google Scholar 

  93. 93

    Saygili Y, Eroglu I, Kincal S. Model based temperature controller development for water cooled PEM fuel cell systems. Int J Hydrogen Energy, 2015, 40: 615–622

    Article  Google Scholar 

  94. 94

    Han J, Park J, Yu S. Control strategy of cooling system for the optimization of parasitic power of automotive fuel cell system. Int J Hydrogen Energy, 2015, 40: 13549–13557

    Article  Google Scholar 

  95. 95

    Han J, Yu S, Yi S. Advanced thermal management of automotive fuel cells using a model reference adaptive control algorithm. Int J Hydrogen Energy, 2017, 42: 4328–4341

    Article  Google Scholar 

  96. 96

    Ahn J W, Choe S Y. Coolant controls of a PEM fuel cell system. J Power Source, 2008, 179: 252–264

    Article  Google Scholar 

  97. 97

    Chen F X, Yu Y, Gao Y. Temperature control for proton exchange membrane fuel cell based on current constraint with consideration of limited cooling capacity. Fuel Cell, 2017, 17: 662–670

    Article  Google Scholar 

  98. 98

    Li X, Deng Z H, Wei D, et al. Parameter optimization of thermal-model-oriented control law for PEM fuel cell stack via novel genetic algorithm. Energy Convers Manage, 2011, 52: 3290–3300

    Article  Google Scholar 

  99. 99

    Fly A, Thring R H. Temperature regulation in an evaporatively cooled proton exchange membrane fuel cell stack. Int J Hydrogen Energy, 2015, 40: 11976–11982

    Article  Google Scholar 

  100. 100

    Hwang J J. Thermal control and performance assessment of a proton exchanger membrane fuel cell generator. Appl Energy, 2013, 108: 184–193

    Article  Google Scholar 

  101. 101

    The Office of Energy Efficiency and Renewable Energy, Fuel Cell Technologies Office. Multi-year research, development, and demonstration plan. 2012. https://doi.org/www.energy.gov/sites/prod/files/2014/12/fl9/fcto_myrdd_full_document.pdf

    Google Scholar 

  102. 102

    Mao L, Wang C Y. Analysis of cold start on ploymer electrolyte fuel cells. J Electrochem Soc, 2007, 154: 139–146

    Article  Google Scholar 

  103. 103

    Meng H. A PEM fuel cell model for cold-start simulations. J Power Source, 2008, 178: 141–150

    Article  Google Scholar 

  104. 104

    Pierre J S, Roberts J, Colbow K, et al. PEMFC operational and design strategies for Sub zero environments. J New Mater Electrochem Syst, 2005, 8: 163–176

    Google Scholar 

  105. 105

    Ge S, Wang C Y. Characteristics of subzero startup and water/ice formation on the catalyst layer in a polymer electrolyte fuel cell. Electrochim Acta, 2007, 52: 4825–4835

    Article  Google Scholar 

  106. 106

    Borup R, Davey H, Garzon F, et al. PEM fuel cell durability with transportation transient operation. ECS Trans, 2006, 3: 879–886

    Article  Google Scholar 

  107. 107

    Pesaran A, Kim G H, Gonder J. PEM fuel cell freeze and rapid startup incestigation. 2005. https://doi.org/www.hydrogen.energy.gov/pdfs/progress05/vii_h_9_pesaran.pdf

    Google Scholar 

  108. 108

    Technical Note of Ballard. Cold weather operation of fuel cell electric buses. https://doi.org/www.ballard.com/about-ballard/publication-library

  109. 109

    Lin B. Thermal Control of Fuel Cell for Improved Cold Start. US Patent, US7534511B2, 2009

    Google Scholar 

  110. 110

    Chacko C, Ramasamy R, Kim S, et al. Characteristic behavior of polymer electrolyte fuel cell resistance during cold start. J Electrochem Soc, 2008, 155: 1145–1154

    Article  Google Scholar 

  111. 111

    Gwak G, Ju H. A rapid start-up strategy for polymer electrolyte fuel cells at subzero temperatures based on control of the operating current density. Int J Hydrogen Energy, 2015, 40: 11989–11997

    Article  Google Scholar 

  112. 112

    Lin R, Weng Y M, Lin X W, et al. Rapid cold start of proton exchange membrane fuel cells by the printed circuit board technology. Int J Hydrogen Energy, 2014, 39: 18369–18378

    Article  Google Scholar 

  113. 113

    Jiao K. Experimental and modelling studies of cold start processes in proton exchange membrane fuel cells. Dissertation for Ph.D. Degree. Waterloo: University of Waterloo, 2011

    Google Scholar 

  114. 114

    Zhou Y B, Luo Y Q, Yu S H, et al. Modeling of cold start processes and performance optimization for proton exchange membrane fuel cell stacks. J Power Source, 2014, 247: 738–748

    Article  Google Scholar 

  115. 115

    Henao N, Kelouwani S, Agbossou K, et al. Proton exchange membrane fuel cells cold startup global strategy for fuel cell plug-in hybrid electric vehicle. J Power Source, 2012, 220: 31–41

    Article  Google Scholar 

  116. 116

    Amamou A A, Kelouwani S, Boulon L, et al. A comprehensive review of solutions and strategies for cold start of automotive proton exchange membrane fuel cells. IEEE Access, 2016, 4: 4989–5002

    Article  Google Scholar 

  117. 117

    Taner T. Energy and exergy analyze of PEM fuel cell: a case study of modeling and simulations. Energy, 2018, 143: 284–294

    Article  Google Scholar 

  118. 118

    Bizon N. Real-time optimization strategy for fuel cell hybrid power sources with load-following control of the fuel or air flow. Energy Convers Manage, 2018, 157: 13–27

    Article  Google Scholar 

  119. 119

    Bizon N. Energy optimization of fuel cell system by using global extremum seeking algorithm. Appl Energy, 2017, 206: 458–474

    Article  Google Scholar 

  120. 120

    Han I S, Park S K, Chung C B. Modeling and operation optimization of a proton exchange membrane fuel cell system for maximum efficiency. Energy Convers Manage, 2016, 113: 52–65

    Article  Google Scholar 

  121. 121

    Zhao H B, Burke A F. Optimization of fuel cell system operating conditions for fuel cell vehicles. J Power Sources, 2009, 186: 408–416

    Article  Google Scholar 

  122. 122

    Salva J A, Iranzo A, Rosa F, et al. Optimization of a PEM fuel cell operating conditions: obtaining the maximum performance polarization curve. Int J Hydrogen Energy, 2016, 41: 19713–19723

    Article  Google Scholar 

  123. 123

    Khaligh A, Zhihao Li A. Battery, ultracapacitor, fuel cell, and hybrid energy storage systems for electric, hybrid electric, fuel cell, and plug-in hybrid electric vehicles: state of the art. IEEE Trans Veh Technol, 2010, 59: 2806–2814

    Article  Google Scholar 

  124. 124

    Bendjedia B, Rizoug N, Boukhnifer M, et al. Influence of secondary source technologies and energy management strategies on energy storage system sizing for fuel cell electric vehicles. Int J Hydrogen Energy, 2018, 43: 11614–11628

    Article  Google Scholar 

  125. 125

    Marx N, Hissel D, Gustin F, et al. On the sizing and energy management of an hybrid multistack fuel cell — battery system for automotive applications. Int J Hydrogen Energy, 2017, 42: 1518–1526

    Article  Google Scholar 

  126. 126

    U.S. Department of Energy. DOE Hydrogen and fuel cells program: 2017 annual progress report. 2017. https://doi.org/www.hydrogen.energy.gov/annual_progressl7.html

    Google Scholar 

  127. 127

    Zhou D M, Ravey A, Al-Durra A, et al. A comparative study of extremum seeking methods applied to online energy management strategy of fuel cell hybrid electric vehicles. Energy Convers Manage, 2017, 151: 778–790

    Article  Google Scholar 

  128. 128

    Thounthong P, Raël S, Davat B. Energy management of fuel cell/battery/supercapacitor hybrid power source for vehicle applications. J Power Source, 2009, 193: 376–385

    Article  Google Scholar 

  129. 129

    Erdinc O, Vural B, Uzunoglu M. A wavelet-fuzzy logic based energy management strategy for a fuel cell/battery/ultra-capacitor hybrid vehicular power system. J Power Source, 2009, 194: 369–380

    Article  Google Scholar 

  130. 130

    Tie S F, Tan C W. A review of energy sources and energy management system in electric vehicles. Renew Sustain Energy Rev, 2013, 20: 82–102

    Article  Google Scholar 

  131. 131

    Schaltz E, Khaligh A, Rasmussen P O. Influence of battery/ultracapacitor energy-storage sizing on battery lifetime in a guel cell hybrid electric vehicle. IEEE Trans Veh Technol, 2009, 58: 3882–3891

    Article  Google Scholar 

  132. 132

    Tahri A, Fadil H E, Belhaj F Z, et al. Management of fuel cell power and supercapacitor state-of-charge for electric vehicles. Electric Power Syst Res, 2018, 160: 89–98

    Article  Google Scholar 

  133. 133

    Mokrani Z, Rekioua D, Mebarki N, et al. Proposed energy management strategy in electric vehicle for recovering power excess produced by fuel cells. Int J Hydrogen Energy, 2017, 42: 19556–19575

    Article  Google Scholar 

  134. 134

    Li Q, Chen W R, Li Y K, et al. Energy management strategy for fuel cell/battery/ultracapacitor hybrid vehicle based on fuzzy logic. Int J Electrical Power Energy Syst, 2012, 43: 514–525

    Article  Google Scholar 

  135. 135

    Jeong K S, Lee W Y, Kim C S. Energy management strategies of a fuel cell/battery hybrid system using fuzzy logics. J Power Source, 2005, 145: 319–326

    Article  Google Scholar 

  136. 136

    Zhou D M, Al-Durra A, Gao F, et al. Online energy management strategy of fuel cell hybrid electric vehicles based on data fusion approach. J Power Source, 2017, 366: 278–291

    Article  Google Scholar 

  137. 137

    Geng C, Jin X F, Zhang X. Simulation research on a novel control strategy for fuel cell extended-range vehicles. Int J Hydrogen Energy, 2018. https://doi.org/10.1016/j.ijhydene.2018.04.038

    Google Scholar 

  138. 138

    Zandi M, Payman A, Martin J P, et al. Energy management of a fuel cell/supercapacitor/battery power source for electric vehicular applications. IEEE Trans Veh Technol, 2011, 60: 433–443

    Article  Google Scholar 

  139. 139

    Payman A, Pierfederici S, Meibody-Tabar F. Energy control of supercapacitor/fuel cell hybrid power source. Energy Convers Manage, 2008, 49: 1637–1644

    Article  Google Scholar 

  140. 140

    Rodatz P, Paganelli G, Sciarretta A, et al. Optimal power management of an experimental fuel cell/supercapacitor-powered hybrid vehicle. Control Eng Pract, 2005, 13: 41–53

    Article  Google Scholar 

  141. 141

    Hong Z H, Li Q, Han Y, et al. An energy management strategy based on dynamic power factor for fuel cell/battery hybrid locomotive. Int J Hydrogen Energy, 2018, 43: 3261–3272

    Article  Google Scholar 

  142. 142

    Tribioli L, Cozzolino R, Chiappini D, et al. Energy management of a plug-in fuel cell/battery hybrid vehicle with on-board fuel processing. Appl Energy, 2016, 184: 140–154

    Article  Google Scholar 

  143. 143

    Yuan J N, Yang L, Chen Q. Intelligent energy management strategy based on hierarchical approximate global optimization for plug-in fuel cell hybrid electric vehicles. Int J Hydrogen Energy, 2018, 43: 8063–8078

    Article  Google Scholar 

  144. 144

    Li T Y, Liu H Y, Ding D L. Predictive energy management of fuel cell supercapacitor hybrid construction equipment. Energy, 2018, 149: 718–729

    Article  Google Scholar 

  145. 145

    Lu X H, Li Z, Guo L L, et al. Optimization of gearshift MAP based on DP for vehicles with automated transmission. Sci China Inf Sci, 2018, 61: 119202

    Article  Google Scholar 

  146. 146

    Caux S, Gaoua Y, Lopez P. A combinatorial optimisation approach to energy management strategy for a hybrid fuel cell vehicle. Energy, 2017, 133: 219–230

    Article  Google Scholar 

  147. 147

    Fletcher T, Thring R, Watkinson M. An energy management strategy to concurrently optimise fuel consumption & PEM fuel cell lifetime in a hybrid vehicle. Int J Hydrogen Energy, 2016, 41: 21503–21515

    Article  Google Scholar 

  148. 148

    Muñoz P M, Correa G, Gaudiano M E, et al. Energy management control design for fuel cell hybrid electric vehicles using neural networks. Int J Hydrogen Energy, 2017, 42: 28932–28944

    Article  Google Scholar 

  149. 149

    Feroldi D, Serra M, Riera J. Energy management strategies based on efficiency map for fuel cell hybrid vehicles. J Power Source, 2009, 190: 387–401

    Article  Google Scholar 

  150. 150

    Hames Y, Kaya K, Baltacioglu E, et al. Analysis of the control strategies for fuel saving in the hydrogen fuel cell vehicles. Int J Hydrogen Energy, 2018, 43: 10810–10821

    Article  Google Scholar 

  151. 151

    Ahmadi S, Bathaee S M T, Hosseinpour A H. Improving fuel economy and performance of a fuel-cell hybrid electric vehicle (fuel-cell, battery, and ultra-capacitor) using optimized energy management strategy. Energy Convers Manage, 2018, 160: 74–84

    Article  Google Scholar 

  152. 152

    Fernández R A, Caraballo S C, Cilleruelo F B, et al. Fuel optimization strategy for hydrogen fuel cell range extender vehicles applying genetic algorithms. Renew Sustain Energy Rev, 2018, 81: 655–668

    Article  Google Scholar 

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Acknowledgements

This work was supported by National Key Research and Development Program of China (Grant Nos. 2017YFB0102800, 2018YFB0105300) and National Natural Science Foundation of China (Nos. 61703179, 61703177).

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Affiliations

  1. State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun, 130022, China

    Jinwu Gao, Yunfeng Hu & Hong Chen

  2. Department of Control Science and Engineering, Jilin University, Changchun, 130022, China

    Jinwu Gao, Meng Li, Yunfeng Hu, Hong Chen & Yan Ma

Authors
  1. Jinwu Gao
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  2. Meng Li
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  3. Yunfeng Hu
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  4. Hong Chen
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  5. Yan Ma
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Correspondence to Yunfeng Hu or Hong Chen.

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Gao, J., Li, M., Hu, Y. et al. Challenges and developments of automotive fuel cell hybrid power system and control. Sci. China Inf. Sci. 62, 51201 (2019). https://doi.org/10.1007/s11432-018-9690-y

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Keywords

  • fuel cell system
  • automotive fuel cell control
  • optimization issue
  • hybrid energy system