?. H. Li, A. Ravey, A. N'diaye, and A. Djerdir, Online adaptive equivalent consumption minimization strategy for fuel cell hybrid electric vehicle considering power sources degradation, Energy Conversion and Management.(Accept) International Conference with proceeding
DOI : 10.1016/j.enconman.2019.03.090

?. H. Li, A. Ravey, A. N. Diaye, and A. Djerdir, A Review of energy management strategy for Fuel Cell Hybrid Electric Vehicle, 2017 IEEE Vehicle Power and Propulsion Conference (VPPC, pp.1-6, 2017.

?. H. Li, A. Ravey, A. N. Diaye, and A. Djerdir, Equivalent consumption minimization strategy for fuel cell hybrid electric vehicle considering fuel cell degradation, 2017 IEEE Transportation Electrification Conference and Expo (ITEC, pp.540-544, 2017.

?. H. Li, A. Ravey, A. N. Diaye, and A. Djerdir, State of health estimation of lithiumion batteries under variable load profile, IECON 2017 -43rd Annual Conference of the IEEE Industrial Electronics Society, pp.5287-5291, 2017.

?. H. Li, A. Ravey, A. N. Diaye, and A. Djerdir, Equivalent consumption minimization strategy for hybrid electric vehicle powered by fuel cell, battery and supercapacitor, IECON 2016 -42nd Annual Conference of the IEEE Industrial Electronics Society, pp.4401-4406, 2016.
URL : https://hal.archives-ouvertes.fr/hal-02131091

H. S. Das, C. W. Tan, and A. H. Yatim, Fuel cell hybrid electric vehicles: A review on power conditioning units and topologies, Renewable and Sustainable Energy Reviews, vol.76, pp.268-291, 2017.

J. Hwang, Y. Chen, and J. Kuo, The study on the power management system in a fuel cell hybrid vehicle, International Journal of Hydrogen Energy, vol.37, pp.4476-4489, 2012.

H. Li, A. Ravey, A. N. Diaye, and A. Djerdir, A review of energy management strategy for fuel cell hybrid electric vehicle, 2017 IEEE Vehicle Power and Propulsion Conference (VPPC), pp.1-6

M. Sabri, M. F. Danapalasingam, K. A. Rahmat, and M. F. , A review on hybrid electric vehicles architecture and energy management strategies, Renewable and Sustainable Energy Reviews, vol.53, pp.1433-1442, 2016.

R. Fernández, F. B. Cilleruelo, and I. V. Martínez, A new approach to battery powered electric vehicles: A hydrogen fuel-cell-based range extender system, International Journal of Hydrogen Energy, vol.41, pp.4808-4819, 2016.

J. Hwang, J. Hu, and C. Lin, Design of a range extension strategy for power decentralized fuel cell/battery electric vehicles, International Journal of Hydrogen Energy, vol.40, pp.11704-11712, 2015.

Y. Sohn, M. Kim, and W. Lee, The computer-aided analysis for the driving stability of a plug-in fuel cell vehicle using a proton exchange membrane fuel cell, International Journal of Hydrogen Energy, vol.37, pp.1893-1904, 2012.

C. C. Chan, The state of the art of electric, hybrid, and fuel cell vehicles, Proceedings of the IEEE, vol.95, pp.704-718, 2007.

C. Marks, E. A. Rishavy, and F. A. Wyczalek, Electrovan-a fuel cell powered vehicle, In SAE Technical Paper Series
DOI : 10.4271/670176

T. P. Fletcher, Optimal energy management strategy for a fuel cell hybrid electric vehicle. Thesis, 2017.

N. Qin, A. Raissi, and P. Brooker, Analysis of fuel cell vehicle developments, The Florida Solar Energy Center (FSEC, 2014.

K. Kreuer, Fuel cells: selected entries from the encyclopedia of sustainability science and technology, 2012.

N. None, annual progress report: Doe hydrogen and fuel cells program, pp.2017-2020, 2016.

, United States Environmental Protection Agency and US Department of Energy, Compare fuel cell

J. Larminie and A. Dicks, Fuel cell systems explained, vol.2, 2003.

O. Z. Sharaf and M. F. Orhan, An overview of fuel cell technology: Fundamentals and applications, Renewable and Sustainable Energy Reviews, vol.32, pp.810-853, 2014.

A. Khaligh, L. , and Z. , 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 Transactions on Vehicular Technology, vol.59, pp.2806-2814, 2010.

J. Reddy, K. Natarajan, and S. , Energy sources and multi-input dcdc converters used in hybrid electric vehicle applications -a review, International Journal of Hydrogen Energy, vol.43, pp.17387-17408, 2018.

A. Ravey, Design and control strategy of powertrain in hybrid electric vehicles. Theses, 2012.
URL : https://hal.archives-ouvertes.fr/tel-00863541

J. Deng, C. Bae, J. Marcicki, A. Masias, and T. Miller, Safety modelling and testing of lithium-ion batteries in electrified vehicles, Nature Energy, vol.3, pp.261-266, 2018.

J. P. Trovão, M. A. Silva, C. H. Antunes, and M. R. Dubois, Stability enhancement of the motor drive dc input voltage of an electric vehicle using on-board hybrid energy storage systems, Applied Energy, vol.205, pp.244-259, 2017.

O. Veneri, C. Capasso, and S. Patalano, Experimental investigation into the effectiveness of a super-capacitor based hybrid energy storage system for urban commercial vehicles, Applied Energy, vol.227, pp.312-323, 2018.

D. Deng, Li-ion batteries: basics, progress, and challenges, Energy Science & Engineering, vol.3, pp.385-418, 2015.

C. Capasso, D. Lauria, and O. Veneri, Experimental evaluation of model-based control strategies of sodium-nickel chloride battery plus supercapacitor hybrid storage systems for urban electric vehicles, Applied Energy, vol.228, pp.2478-2489, 2018.

J. Ruan, P. D. Walker, N. Zhang, and J. Wu, An investigation of hybrid energy storage system in multi-speed electric vehicle, Energy, vol.140, pp.291-306, 2017.

S. Mekhilef, R. Saidur, and A. Safari, Comparative study of different fuel cell technologies, Renewable and Sustainable Energy Reviews, vol.16, pp.981-989, 2012.

T. Elmer, M. Worall, S. Wu, and S. B. Riffat, Fuel cell technology for domestic built environment applications: State of-the-art review, Renewable and Sustainable Energy Reviews, vol.42, pp.913-931, 2015.

H. Wang, Q. Wang, and B. Hu, A review of developments in energy storage systems for hybrid excavators, Automation in Construction, vol.80, pp.1-10, 2017.

X. Lü, Y. Qu, Y. Wang, C. Qin, and G. Liu, A comprehensive review on hybrid power system for pemfc-hev: Issues and strategies, Energy Conversion and Management, vol.171, pp.1273-1291, 2018.

C. Zhang, J. Jiang, Y. Gao, W. Zhang, Q. Liu et al., Charging optimization in lithium-ion batteries based on temperature rise and charge time, Applied Energy, vol.194, pp.569-577, 2017.

S. Zhang, R. Xiong, and J. Cao, Battery durability and longevity based power management for plug-in hybrid electric vehicle with hybrid energy storage system, Applied Energy, vol.179, pp.316-328, 2016.

G. Wang, Y. Yu, H. Liu, C. Gong, S. Wen et al., Progress on design and development of polymer electrolyte membrane fuel cell systems for vehicle applications: A review, Fuel Processing Technology, vol.179, pp.203-228, 2018.

N. None, annual progress report: Doe hydrogen and fuel cells program, pp.2017-2022, 2017.

S. Satyapal, Us department of energy hydrogen and fuel cells program

D. Peterson and R. F. , Historical fuel cell and hydrogen budgets, pp.2017-2024

, Fuel cell technologies program multi-year research, development and demonstration plan, 2005.

, Hydrogen and fuels cells for transport -european commission

S. J. Undertaking, Annual work plan, S2R JU Governing Board, 2016.

, Summary of the strategic road map for hydrogen and fuel cells, Agency for Natural Resources and Energy, 2014.

, Ministerial Council on Renewable Energy, Hydrogen and Related Issues, 2017.

A. F. Energy, Summary of the strategic road map for hydrogen and fuel cells, 2014.

N. Behling, M. C. Williams, and S. Managi, Fuel cells and the hydrogen revolution: Analysis of a strategic plan in japan, Economic Analysis and Policy, vol.48, pp.204-221, 2015.

M. Kendall, Fuel cell development for new energy vehicles (nevs) and clean air in china, Progress in Natural Science: Materials International, 2018.

, China's hydrogen energy and fuel cell industry innovation strategic alliance was formally established, 2018.

M. Rajabzadeh, S. M. Bathaee, A. Golkar, and M. , Dynamic modeling and nonlinear control of fuel cell vehicles with different hybrid power sources, International Journal of Hydrogen Energy, vol.41, pp.3185-3198, 2016.

D. C. Papageorgopoulos, Advancements and prospects of doe fuel cell research and development activities, Meeting Abstracts, pp.1614-1614

H. Chen, P. Pei, and M. Song, Lifetime prediction and the economic lifetime of proton exchange membrane fuel cells, Applied Energy, vol.142, pp.154-163, 2015.

F. A. De-bruijn, V. A. Dam, and G. J. Janssen, Review: Durability and degradation issues of pem fuel cell components, Fuel Cells, vol.8, pp.3-22, 2008.

J. Li, Z. Hu, L. Xu, M. Ouyang, C. Fang et al., Fuel cell system degradation analysis of a chinese plug-in hybrid fuel cell city bus, International Journal of Hydrogen Energy, vol.41, pp.15295-15310, 2016.

X. Hu, L. Johannesson, N. Murgovski, and B. Egardt, Longevity-conscious dimensioning and power management of the hybrid energy storage system in a fuel cell hybrid electric bus, Applied Energy, vol.137, pp.913-924, 2015.

X. Yuan, H. Li, S. Zhang, J. Martin, W. et al., A review of polymer electrolyte membrane fuel cell durability test protocols, Journal of Power Sources, vol.196, pp.9107-9116, 2011.

L. Placca and R. Kouta, Fault tree analysis for pem fuel cell degradation process modelling, International Journal of Hydrogen Energy, vol.36, pp.12393-12405, 2011.

D. Liu, C. , and S. , Durability study of proton exchange membrane fuel cells under dynamic testing conditions with cyclic current profile, Journal of Power Sources, vol.162, issue.1, pp.521-531, 2006.

N. Sulaiman, M. A. Hannan, A. Mohamed, E. H. Majlan, W. Daud et al., A review on energy management system for fuel cell hybrid electric vehicle: Issues and challenges, Renewable and Sustainable Energy Reviews, vol.52, pp.802-814, 2015.

A. F. Burke, Batteries and ultracapacitors for electric, hybrid, and fuel cell vehicles, Proceedings of the Ieee, vol.95, pp.806-820, 2007.

F. Odeim, J. Roes, and A. Heinzel, Power management optimization of an experimental fuel cell/battery/supercapacitor hybrid system, vol.8, pp.6302-6327, 2015.

A. Panday and H. O. Bansal, A review of optimal energy management strategies for hybrid electric vehicle, International Journal of Vehicular Technology, pp.1-19, 2014.

M. U. Cuma and T. Koroglu, A comprehensive review on estimation strategies used in hybrid and battery electric vehicles, Renewable and Sustainable Energy Reviews, vol.42, pp.517-531, 2015.

N. Jalil, N. A. Kheir, S. , and M. , A rule-based energy management strategy for a series hybrid vehicle, Proceedings of the 1997 American Control Conference (Cat. No.97CH36041), vol.1, pp.689-693

W. Shabbir and S. A. Evangelou, Exclusive operation strategy for the supervisory control of series hybrid electric vehicles, IEEE Transactions on Control Systems Technology, pp.1-9, 2016.

S. Ahmadi and S. M. Bathaee, Multi-objective genetic optimization of the fuel cell hybrid vehicle supervisory system: Fuzzy logic and operating mode control strategies, International Journal of Hydrogen Energy, vol.40, pp.12512-12521, 2015.

A. Fadel and B. Zhou, An experimental and analytical comparison study of power management methodologies of fuel cell-battery hybrid vehicles, Journal of Power Sources, vol.196, pp.3271-3279, 2011.

I. Lachhab and L. Krichen, An improved energy management strategy for fc/uc hybrid electric vehicles propelled by motor-wheels, International Journal of Hydrogen Energy, vol.39, pp.571-581, 2014.

H. Aouzellag, K. Ghedamsi, A. , and D. , Energy management and fault tolerant control strategies for fuel cell/ultra-capacitor hybrid electric vehicles to enhance autonomy, efficiency and life time of the fuel cell system, International Journal of Hydrogen Energy, vol.40, pp.7204-7213, 2015.

H. Yun, S. Liu, Y. Zhao, J. Xie, C. Liu et al., Energy management for fuel cell hybrid vehicles based on a stiffness coefficient model, International Journal of Hydrogen Energy, vol.40, pp.633-641, 2015.

Q. Li, H. Yang, Y. Han, M. Li, C. et al., A state machine strategy based on droop control for an energy management system of pemfc-battery-supercapacitor hybrid tramway, International Journal of Hydrogen Energy, vol.41, pp.16148-16159, 2016.

Q. Li, W. Chen, Y. Li, S. Liu, and J. Huang, Energy management strategy for fuel cell/battery/ultracapacitor hybrid vehicle based on fuzzy logic, International Journal of Electrical Power & Energy Systems, vol.43, pp.514-525, 2012.

M. Mohammedi, O. Kraa, M. Becherif, A. Aboubou, M. Y. Ayad et al., Fuzzy logic and passivity-based controller applied to electric vehicle using fuel cell and supercapacitors hybrid source, Energy Procedia, vol.50, pp.619-626, 2014.

A. Ravey, A. Mohammadi, and D. Bouquain, Control strategy of fuel cell electric vehicle including degradation process, Industrial Electronics Society, IECON 2015 -41st Annual Conference of the IEEE, pp.3508-003513

F. Odeim, J. Roes, L. Wülbeck, and A. Heinzel, Power management optimization of fuel cell/battery hybrid vehicles with experimental validation, Journal of Power Sources, vol.252, pp.333-343, 2014.

S. Caux, W. Hankache, M. Fadel, and D. Hissel, On-line fuzzy energy management for hybrid fuel cell systems, International Journal of Hydrogen Energy, vol.35, pp.2134-2143, 2010.

J. Ryu, Y. Park, and M. Sunwoo, Electric powertrain modeling of a fuel cell hybrid electric vehicle and development of a power distribution algorithm based on driving mode recognition, Journal of Power Sources, vol.195, pp.5735-5748, 2010.

C. Li and G. Liu, Optimal fuzzy power control and management of fuel cell/battery hybrid vehicles, Journal of Power Sources, vol.192, pp.525-533, 2009.

M. G. Carignano, R. Costa-castelló, V. Roda, N. M. Nigro, S. Junco et al., Energy management strategy for fuel cell-supercapacitor hybrid vehicles based on prediction of energy demand, Journal of Power Sources, vol.360, pp.419-433, 2017.

M. Ibrahim, S. Jemei, G. Wimmer, N. Y. Steiner, C. C. Kokonendji et al., Selection of mother wavelet and decomposition level for energy management in electrical vehicles including a fuel cell, International Journal of Hydrogen Energy, vol.40, pp.15823-15833, 2015.

H. Alloui, Y. Achour, K. Marouani, and M. Becherif, Energy management based on frequency decoupling: Experimental results with fuel cell-electric vehicle emulator, 2015 IEEE 81st Vehicular Technology Conference (VTC Spring), pp.1-5

A. Tani, M. B. Camara, and B. Dakyo, Energy management based on frequency approach for hybrid electric vehicle applications: Fuel-cell/lithium-battery and ultracapacitors, IEEE Transactions on Vehicular Technology, vol.61, pp.3375-3386, 2012.
URL : https://hal.archives-ouvertes.fr/hal-01966438

H. Alloui, K. Marouani, M. Becherif, M. N. Sid, and M. E. Benbouzid, A control strategy scheme for fuel cell-vehicle based on frequency separation, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01023557

T. Azib, C. Larouci, A. Chaibet, and M. Boukhnifer, Online energy management strategy of a hybrid fuel cell/battery/ultracapacitor vehicular power system, IEEJ Transactions on Electrical and Electronic Engineering, vol.9, pp.548-554, 2014.

Q. Li, W. Chen, Z. Liu, M. Li, and L. Ma, Development of energy management system based on a power sharing strategy for a fuel cell-battery-supercapacitor hybrid tramway, Journal of Power Sources, vol.279, pp.267-280, 2015.

W. Enang and C. Bannister, Modelling and control of hybrid electric vehicles (a comprehensive review), Renewable and Sustainable Energy Reviews, vol.74, pp.1210-1239, 2017.

O. A. Shaneb, P. C. Taylor, and G. Coates, Optimal online operation of residential ï¿¿chp systems using linear programming, Energy and Buildings, vol.44, pp.17-25, 2012.

R. Dinnawi, D. Fares, R. Chedid, S. Karaki, and R. A. Jabr, Optimized energy management system for fuel cell hybrid vehicles, Mediterranean Electrotechnical Conference (MELECON), pp.97-102, 2014.

S. Caux, Y. Gaoua, and P. Lopez, A combinatorial optimisation approach to energy management strategy for a hybrid fuel cell vehicle, Energy, vol.133, pp.219-230, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01531987

F. R. Salmasi, Control strategies for hybrid electric vehicles: Evolution, classification, comparison, and future trends, IEEE Transactions on Vehicular Technology, vol.56, pp.2393-2404, 2007.

X. Zhang, M. , and C. , Vehicle power management: modeling, control and optimization, 2011.

D. P. Bertsekas, D. P. Bertsekas, D. P. Bertsekas, and D. P. Bertsekas, Dynamic programming and optimal control, Athena scientific Belmont, vol.1, 1995.

T. Fletcher, R. Thring, and M. Watkinson, An energy management strategy to concurrently optimise fuel consumption & pem fuel cell lifetime in a hybrid vehicle, International Journal of Hydrogen Energy, 2016.

F. Martel, S. Kelouwani, Y. Dubé, and K. Agbossou, Optimal economy-based battery degradation management dynamics for fuel-cell plug-in hybrid electric vehicles, Journal of Power Sources, vol.274, pp.367-381, 2015.

F. Martel, Y. Dubé, S. Kelouwani, J. Jaguemont, and K. Agbossou, Long-term assessment of economic plug-in hybrid electric vehicle battery lifetime degradation management through near optimal fuel cell load sharing, Journal of Power Sources, vol.318, pp.270-282, 2016.

D. Fares, R. Chedid, F. Panik, S. Karaki, J. et al., Dynamic programming technique for optimizing fuel cell hybrid vehicles, International Journal of Hydrogen Energy, vol.40, pp.7777-7790, 2015.

Z. Zhou, M. , and C. , Power management of phev using quadratic programming, International Journal of Electric and Hybrid Vehicles, vol.3, pp.246-258, 2011.

D. Chrenko, S. Gan, C. Gutenkunst, R. Kriesten, and L. L. Moyne, Novel classification of control strategies for hybrid electric vehicles, Vehicle Power and Propulsion Conference (VPPC), pp.1-6, 2015.

S. Ahmadi, S. M. Bathaee, and A. H. Hosseinpour, Improving fuel economy and performance of a fuel-cell hybrid electric vehicle (fuel-cell, battery, and ultracapacitor) using optimized energy management strategy, Energy Conversion and Management, vol.160, pp.74-84, 2018.

R. Eberhart, K. , and J. , A new optimizer using particle swarm theory, Micro Machine and Human Science, 1995. MHS '95., Proceedings of the Sixth International Symposium on, pp.39-43

M. R. Bonyadi and Z. Michalewicz, Particle swarm optimization for single objective continuous space problems: A review, Evolutionary Computation, vol.25, pp.1-54, 2017.

Y. Zhang, S. Wang, J. , and G. , A comprehensive survey on particle swarm optimization algorithm and its applications, Mathematical Problems in Engineering, 2015.

Y. Zhang, S. Balochian, P. Agarwal, V. Bhatnagar, and O. J. Housheya, Artificial intelligence and its applications, Mathematical Problems in Engineering, vol.2014, p.10, 2014.

F. Khoucha, M. Habib, M. E. Benbouzid, and A. Kheloui, Rule-based energy management strategy optimized using pso for fuel cell/battery electric vehicle, vol.3, p.1, 2015.

R. Koubaa, K. , and L. , Double layer metaheuristic based energy management strategy for a fuel cell/ultra-capacitor hybrid electric vehicle, Energy, vol.133, pp.1079-1093, 2017.

S. Ahmadi, S. Abdi, and M. Kakavand, Maximum power point tracking of a proton exchange membrane fuel cell system using pso-pid controller, International Journal of Hydrogen Energy, vol.42, pp.20430-20443, 2017.

F. Marini and B. Walczak, Particle swarm optimization (pso). a tutorial. Chemometrics and Intelligent Laboratory Systems, vol.149, pp.153-165, 2015.

M. Li, W. Q. Du, and F. Z. Nian, An adaptive particle swarm optimization algorithm based on directed weighted complex network, Mathematical Problems in Engineering, vol.2014, p.7, 2014.

F. Millo, L. Rolando, R. Fuso, E. Bergshoeff, and F. Shafiabady, Analysis of different energy management strategies for complex hybrid electric vehicles, ComputerAided Design and Applications, vol.11, pp.1-10, 2014.

H. Wang, Y. Huang, H. He, C. Lv, W. Liu et al., Chapter 5 -Energy Management of Hybrid Electric Vehicles A2 -Zhang, pp.159-206, 2018.

I. E. Aiteur, C. Vlad, and E. Godoy, Energy management and control of a fuel cell/supercapacitor multi-source system for electric vehicles, System Theory, Control and Computing (ICSTCC), pp.797-802, 201519.
URL : https://hal.archives-ouvertes.fr/hal-01257838

P. García, J. P. Torreglosa, L. M. Fernández, J. , and F. , Viability study of a fc-battery-sc tramway controlled by equivalent consumption minimization strategy, International Journal of Hydrogen Energy, vol.37, pp.9368-9382, 2012.

B. Geng, J. K. Mills, and D. Sun, Two-stage energy management control of fuel cell plug-in hybrid electric vehicles considering fuel cell longevity, IEEE Transactions on Vehicular Technology, vol.61, pp.498-508, 2012.

P. Zhang, F. Yan, and C. Du, A comprehensive analysis of energy management strategies for hybrid electric vehicles based on bibliometrics, Renewable and Sustainable Energy Reviews, vol.48, pp.88-104, 2015.

J. Han, Y. Park, and Y. Park, A novel updating method of equivalent factor in ecms for prolonging the lifetime of battery in fuel cell hybrid electric vehicle, IFAC Proceedings Volumes, vol.45, pp.227-232, 2012.

S. Zhang, R. Xiong, and C. Zhang, Pontryagin's minimum principle-based power management of a dual-motor-driven electric bus, Applied Energy, vol.159, pp.370-380, 2015.

V. F. Krotov, Global Methods in Optimal Control Theory, pp.74-121, 1993.

C. H. Zheng, G. Q. Xu, Y. I. Park, W. S. Lim, and S. W. Cha, Prolonging fuel cell stack lifetime based on pontryagin's minimum principle in fuel cell hybrid vehicles and its economic influence evaluation, Journal of Power Sources, vol.248, pp.533-544, 2014.

L. Xu, J. Li, M. Ouyang, J. Hua, Y. et al., Multi-mode control strategy for fuel cell electric vehicles regarding fuel economy and durability, International Journal of Hydrogen Energy, vol.39, pp.2374-2389, 2014.

K. Ettihir, L. Boulon, and K. Agbossou, Optimization-based energy management strategy for a fuel cell/battery hybrid power system, Applied Energy, vol.163, pp.142-153, 2016.

C. Zheng, S. W. Cha, Y. Park, W. S. Lim, and G. Xu, Pmp-based power management strategy of fuel cell hybrid vehicles considering multi-objective optimization, International Journal of Precision Engineering and Manufacturing, vol.14, pp.845-853, 2013.

L. Serrao, S. Onori, and G. Rizzoni, A comparative analysis of energy management strategies for hybrid electric vehicles, Journal of Dynamic Systems, Measurement, and Control, vol.133, pp.31012-031012, 2011.

S. Onori and L. Tribioli, Adaptive pontryagin's minimum principle supervisory controller design for the plug-in hybrid gm chevrolet volt, Applied Energy, vol.147, pp.224-234, 2015.

K. Simmons, Y. Guezennec, and S. Onori, Modeling and energy management control design for a fuel cell hybrid passenger bus, Journal of Power Sources, vol.246, pp.736-746, 2014.

W. Greenwell and A. Vahidi, Predictive control of voltage and current in a fuel cell-ultracapacitor hybrid, IEEE Transactions on Industrial Electronics, vol.57, pp.1954-1963, 2010.

W. R. Sultana, S. K. Sahoo, S. Sukchai, S. Yamuna, and D. Venkatesh, A review on state of art development of model predictive control for renewable energy applications, Renewable and Sustainable Energy Reviews, vol.76, pp.391-406, 2017.

C. Ziogou, S. Papadopoulou, M. C. Georgiadis, and S. Voutetakis, On-line nonlinear model predictive control of a pem fuel cell system, Journal of Process Control, vol.23, pp.483-492, 2013.

J. P. Torreglosa, P. Garcia, L. M. Fernandez, J. , and F. , Predictive control for the energy management of a fuel-cell battery supercapacitor tramway, IEEE Transactions on Industrial Informatics, vol.10, pp.276-285, 2014.

T. Li, H. Liu, and D. Ding, Predictive energy management of fuel cell supercapacitor hybrid construction equipment, Energy, vol.149, pp.718-729, 2018.

A. Arce, A. J. Del-real, and C. Bordons, Mpc for battery/fuel cell hybrid vehicles including fuel cell dynamics and battery performance improvement, Journal of Process Control, vol.19, pp.1289-1304, 2009.

S. Zhang, R. Xiong, and F. Sun, Model predictive control for power management in a plug-in hybrid electric vehicle with a hybrid energy storage system, Applied Energy, vol.185, pp.1654-1662, 2017.

E. Camacho, C. Bordons, A. , and C. , Model Predictive Control, 2004.
URL : https://hal.archives-ouvertes.fr/hal-00256633

M. Marcano, J. A. Matute, R. Lattarulo, E. Martí, and J. Pérez, Low speed longitudinal control algorithms for automated vehicles in simulation and real platforms, Complexity, vol.2018, p.12, 2018.

J. Kaths, Using model predictive control for cooperative traffic signal control, OPT-i 1st International Conference on Engineering and Applied Sciences Optimization -Proceedings, 2014.

M. N. Sid, K. Nounou, M. Becherif, K. Marouani, A. et al., Energy management and optimal control strategies of fuel cell/supercapacitors hybrid vehicle, Electrical Machines (ICEM), pp.2293-2298, 2014.

C. Zheng, C. Lee, Y. Huang, and W. Lin, Adaptive optimal control algorithm for maturing energy management strategy in fuel-cell/li-ion-capacitor hybrid electric vehicles, 9th Asian Control Conference (ASCC), pp.1-7, 2013.

M. Ansarey, M. Shariat-panahi, H. Ziarati, and M. Mahjoob, Optimal energy management in a dual-storage fuel-cell hybrid vehicle using multi-dimensional dynamic programming, Journal of Power Sources, vol.250, pp.359-371, 2014.

H. Li, A. Ravey, A. N'diaye, and A. Djerdir, Equivalent consumption minimization strategy for hybrid electric vehicle powered by fuel cell, battery and supercapacitor, IECON 2016 -42nd Annual Conference of the IEEE Industrial Electronics Society, pp.4401-4406, 2016.
URL : https://hal.archives-ouvertes.fr/hal-02131091

J. P. Torreglosa, F. Jurado, P. García, and L. M. Fernández, Hybrid fuel cell and battery tramway control based on an equivalent consumption minimization strategy, Control Engineering Practice, vol.19, pp.1182-1194, 2011.

M. A. Hannan, F. A. Azidin, M. , and A. , Hybrid electric vehicles and their challenges: A review, Renewable and Sustainable Energy Reviews, vol.29, pp.135-150, 2014.

J. Solano, D. Hissel, and M. C. Pera, Energy management of an hybrid electric vehicle in degraded operation, 2014 IEEE Vehicle Power and Propulsion Conference (VPPC), pp.1-4

J. Solano, D. Hissel, and M. Pera, Fail-safe power for hybrid electric vehicles: Implementing a self-sustained global energy management system, IEEE Vehicular Technology Magazine, vol.13, pp.34-39, 2018.

C. H. Zheng, N. W. Kim, Y. I. Park, W. S. Lim, S. W. Cha et al., The effect of battery temperature on total fuel consumption of fuel cell hybrid vehicles, International Journal of Hydrogen Energy, vol.38, pp.5192-5200, 2013.

H. Li, A. Ravey, A. N. Diaye, and A. Djerdir, Equivalent consumption minimization strategy for fuel cell hybrid electric vehicle considering fuel cell degradation, 2017 IEEE Transportation Electrification Conference and Expo (ITEC), pp.540-544
DOI : 10.1109/itec.2017.7993328

P. García, J. P. Torreglosa, L. M. Fernández, J. , and F. , Control strategies for high-power electric vehicles powered by hydrogen fuel cell, battery and supercapacitor, Expert Systems with Applications, vol.40, pp.4791-4804, 2013.

D. Feroldi and M. Carignano, Sizing for fuel cell/supercapacitor hybrid vehicles based on stochastic driving cycles, Applied Energy, vol.183, pp.645-658, 2016.

K. Ettihir, M. Higuita-cano, L. Boulon, and K. Agbossou, Design of an adaptive ems for fuel cell vehicles, International Journal of Hydrogen Energy, 2016.

N. Bizon and P. Thounthong, Real-time strategies to optimize the fueling of the fuel cell hybrid power source: A review of issues, challenges and a new approach, Renewable and Sustainable Energy Reviews, vol.91, pp.1089-1102, 2018.

N. Bizon, Energy optimization of fuel cell system by using global extremum seeking algorithm, Applied Energy, vol.206, pp.458-474, 2017.

N. Bizon, Real-time optimization strategy for fuel cell hybrid power sources with load-following control of the fuel or air flow, Energy Conversion and Management, vol.157, pp.13-27, 2018.

H. Hemi, J. Ghouili, and A. Cheriti, Combination of markov chain and optimal control solved by pontryagin's minimum principle for a fuel cell/supercapacitor vehicle, Energy Conversion and Management, vol.91, pp.387-393, 2015.

S. Pelletier, O. Jabali, G. Laporte, and M. Veneroni, Battery degradation and behaviour for electric vehicles: Review and numerical analyses of several models, Transportation Research Part B-Methodological, vol.103, pp.158-187, 2017.

L. Zhang, X. Hu, Z. Wang, F. Sun, and D. G. Dorrell, A review of supercapacitor modeling, estimation, and applications: A control/management perspective, Renewable and Sustainable Energy Reviews, vol.81, pp.1868-1878, 2018.

P. Pei, C. , and H. , Main factors affecting the lifetime of proton exchange membrane fuel cells in vehicle applications: A review, Applied Energy, vol.125, pp.60-75, 2014.

P. Pei, Q. Chang, and T. Tang, A quick evaluating method for automotive fuel cell lifetime, International Journal of Hydrogen Energy, vol.33, pp.3829-3836, 2008.

T. Li, H. Liu, D. Zhao, W. , and L. , Design and analysis of a fuel cell supercapacitor hybrid construction vehicle, International Journal of Hydrogen Energy, vol.41, pp.12307-12319, 2016.

X. Hu, N. Murgovski, L. M. Johannesson, and B. Egardt, Optimal dimensioning and power management of a fuel cell/battery hybrid bus via convex programming, IEEE/ASME Transactions on Mechatronics, vol.20, pp.457-468, 2015.

C. H. Zheng, C. E. Oh, Y. I. Park, and S. W. Cha, Fuel economy evaluation of fuel cell hybrid vehicles based on equivalent fuel consumption, International Journal of Hydrogen Energy, vol.37, pp.1790-1796, 2012.

J. Han, Y. Park, K. , and D. , Optimal adaptation of equivalent factor of equivalent consumption minimization strategy for fuel cell hybrid electric vehicles under active state inequality constraints, Journal of Power Sources, vol.267, pp.491-502, 2014.

L. Xu, F. Yang, J. Li, M. Ouyang, and J. Hua, Real time optimal energy management strategy targeting at minimizing daily operation cost for a plug-in fuel cell city bus, International Journal of Hydrogen Energy, vol.37, pp.15380-15392, 2012.

M. J. Daigle and C. S. Kulkarni, Electrochemistry-based battery modeling for prognostics

Z. Hou, R. Wang, K. Wang, W. Shi, D. Xing et al., Failure mode investigation of fuel cell for vehicle application, Frontiers in Energy, vol.11, issue.3, pp.318-325, 2017.

W. Jakob and C. Blume, Pareto optimization or cascaded weighted sum: A comparison of concepts, Algorithms, vol.7, pp.166-185, 2014.

I. Y. Kim and O. L. De-weck, Adaptive weighted sum method for multiobjective optimization: a new method for pareto front generation. Structural and Multidisciplinary Optimization, vol.31, pp.105-116, 2006.

S. Onori, L. Serrao, and G. Rizzoni, Hybrid electric vehicles: Energy management strategies, 2016.

A. Tani, M. B. Camara, and B. Dakyo, Energy management based on frequency approach for hybrid electric vehicle applications: Fuel-cell/lithium-battery and ultracapacitors, IEEE Transactions on Vehicular Technology, vol.61, pp.3375-3386, 2012.
URL : https://hal.archives-ouvertes.fr/hal-01966438

F. Gao, B. Blunier, and A. Miraoui, Proton exchange membrane fuel cells modeling, 2013.

J. Kim, M. Kim, T. Kang, Y. Sohn, T. Song et al., Degradation modeling and operational optimization for improving the lifetime of high-temperature pem (proton exchange membrane) fuel cells, Energy, vol.66, pp.41-49, 2014.

E. Breaz, F. Gao, B. Blunier, and R. Tirnovan, Mathematical modeling of proton exchange membrane fuel cell with integrated humidifier for mobile applications, 2012 IEEE Transportation Electrification Conference and Expo (ITEC), pp.1-6

G. Fei, B. Blunier, and A. Miraoui, Pem fuel cell stack modeling for real-time emulation in hardware-in-the-loop applications, IEEE Transactions on Energy Conversion, vol.26, pp.184-194, 2011.

J. Mccall, Genetic algorithms for modelling and optimisation, Journal of Computational and Applied Mathematics, vol.184, pp.205-222, 2005.

G. W. You, S. Park, and D. Oh, Diagnosis of electric vehicle batteries using recurrent neural networks, IEEE Transactions on Industrial Electronics, vol.64, pp.4885-4893, 2017.

M. Basualdo, D. Feroldi, and R. Outbib, Pem fuel cells with bio-ethanol processor systems, Springer, vol.10, pp.978-979, 2012.

J. Larminie, A. Dicks, and M. S. Mcdonald, Fuel cell systems explained, vol.2, 2003.

C. Zheng, C. Oh, Y. Park, and S. Cha, Fuel economy evaluation of fuel cell hybrid vehicles based on equivalent fuel consumption, 10th International Conference on Clean Energy, vol.37, pp.1790-1796, 2010.

M. J. Daigle and C. S. Kulkarni, Electrochemistry-based battery modeling for prognostics

R. R. Richardson, M. A. Osborne, and D. A. Howey, Gaussian process regression for forecasting battery state of health, Journal of Power Sources, vol.357, pp.209-219, 2017.

B. Bole, C. S. Kulkarni, and M. Daigle, Adaptation of an electrochemistry-based li-ion battery model to account for deterioration observed under randomized use, 2014.

D. K. Karthikeyan, G. Sikha, and R. E. White, Thermodynamic model development for lithium intercalation electrodes, Journal of Power Sources, vol.185, pp.1398-1407, 2008.

H. Li, A. Ravey, A. N'diaye, and A. Djerdir, State of health estimation of lithiumion batteries under variable load profile, IECON 2017 -43rd Annual Conference of the IEEE Industrial Electronics Society, pp.5287-5291, 2017.

Y. Gao, Graphene and polymer composites for supercapacitor applications: a review, Nanoscale Research Letters, vol.12, p.387, 2017.

H. Li, A. Ravey, A. N'diaye, and A. Djerdir, Equivalent consumption minimization strategy for fuel cell hybrid electric vehicle considering fuel cell degradation, 2017 IEEE Transportation Electrification Conference and Expo (ITEC), pp.540-544, 2017.

J. Solano-martínez, R. I. John, D. Hissel, and M. Péra, A survey-based type-2 fuzzy logic system for energy management in hybrid electrical vehicles, Information Sciences, vol.190, pp.192-207, 2012.

H. Hemi, J. Ghouili, and A. Cheriti, A real time fuzzy logic power management strategy for a fuel cell vehicle, Energy Conversion and Management, vol.80, pp.63-70, 2014.

Z. Yu, D. Zinger, and A. Bose, An innovative optimal power allocation strategy for fuel cell, battery and supercapacitor hybrid electric vehicle, Journal of Power Sources, vol.196, pp.2351-2359, 2011.

P. García, J. P. Torreglosa, L. M. Fernández, J. , and F. , Viability study of a fc-battery-sc tramway controlled by equivalent consumption minimization strategy, International Journal of Hydrogen Energy, vol.37, pp.9368-9382, 2012.

W. Zhang, J. Li, L. Xu, and M. Ouyang, Optimization for a fuel cell/battery/capacity tram with equivalent consumption minimization strategy. Energy Conversion and Management 134, pp.59-69, 2017.

S. Onori, L. Serrao, and G. Rizzoni, Hybrid electric vehicles: Energy management strategies, 2015.

X. Q. Xing, K. W. Lum, H. J. Poh, and Y. L. Wu, Geometry optimization for proton-exchange membrane fuel cells with sequential quadratic programming method, Journal of Power Sources, vol.186, pp.10-21, 2009.

K. Brundell-freij and E. Ericsson, Influence of street characteristics, driver category and car performance on urban driving patterns, Transportation Research Part D: Transport and Environment, vol.10, pp.213-229, 2005.

T. Sutharssan, D. Montalvao, Y. K. Chen, W. C. Wang, C. Pisac et al., A review on prognostics and health monitoring of proton exchange membrane fuel cell, Renewable and Sustainable Energy Reviews, vol.75, pp.440-450, 2017.

B. Saha and K. Goebel, Model adaptation for prognostics in a particle filtering framework, International Journal of Prognostics and Health Management, vol.2, p.61, 2011.

M. Daigle, B. Saha, and K. Goebel, A comparison of filter-based approaches for model-based prognostics, 2012 IEEE Aerospace Conference, pp.1-10, 2012.

S. Sankararaman, M. J. Daigle, and K. Goebel, Uncertainty quantification in remaining useful life prediction using first-order reliability methods, IEEE Transactions on Reliability, vol.63, pp.603-619, 2014.

D. Chelidze, Multimode damage tracking and failure prognosis in electromechanical systems, Component and Systems Diagnostics, Prognostics, and Health Management II, vol.4733, pp.1-13

J. Celaya, C. Kulkarni, G. Biswas, S. Saha, and K. Goebel, A model-based prognostics methodology for electrolytic capacitors based on electrical overstress accelerated aging

S. Haykin, . Kalman, and . Networks, , vol.47, 2004.

E. A. Wan and R. V. Merwe, The unscented kalman filter for nonlinear estimation, Proceedings of the IEEE 2000 Adaptive Systems for Signal Processing, Communications, and Control Symposium (Cat. No.00EX373), pp.153-158

K. Goebel, B. Saha, A. Saxena, J. R. Celaya, and J. P. Christophersen, Prognostics in battery health management, IEEE instrumentation & measurement magazine, vol.11, p.4, 2008.

M. Daigle, I. Roychoudhury, and A. Bregon, Model-based prognostics of hybrid systems

E. A. Wan and R. V. Merwe, The unscented kalman filter for nonlinear estimation, Proceedings of the IEEE 2000 Adaptive Systems for Signal Processing, Communications, and Control Symposium, pp.153-158, 2000.

E. Wan, R. V. Merwe, and . Chapter, Kalman Filtering and Neural Networks, pp.221-280, 2001.

G. Sierra, M. Orchard, K. Goebel, and C. Kulkarni, Battery health management for small-size rotary-wing electric unmanned aerial vehicles: An efficient approach for constrained computing platforms, Reliability Engineering & System Safety, vol.182, pp.166-178, 2019.

P. Gazdzick, J. Mitzel, D. Garcia-sanchez, M. Schulze, and K. A. Friedrich, Evaluation of reversible and irreversible degradation rates of polymer electrolyte membrane fuel cells tested in automotive conditions, Journal of Power Sources, vol.327, pp.86-95, 2016.

J. Larminie and A. Dicks, Fuel Cell Systems Explained, 2003.

M. Jouin, R. Gouriveau, D. Hissel, M. Péra, and N. Zerhouni, Degradations analysis and aging modeling for health assessment and prognostics of pemfc, Reliability Engineering & System Safety, vol.148, pp.78-95, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01303392

M. Bressel, M. Hilairet, D. Hissel, and B. O. Bouamama, Remaining useful life prediction and uncertainty quantification of proton exchange membrane fuel cell under variable load, IEEE Transactions on Industrial Electronics, vol.63, pp.2569-2577, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01558245

M. Bressel, M. Hilairet, D. Hissel, O. Bouamama, and B. , Extended kalman filter for prognostic of proton exchange membrane fuel cell, Applied Energy, vol.164, pp.220-227, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01558212

R. Yang, R. Xiong, H. He, H. Mu, W. et al., A novel method on estimating the degradation and state of charge of lithium-ion batteries used for electrical vehicles, Applied Energy, vol.207, pp.336-345, 2017.

.. .. Toyota-mirai,

, 2 The schematic diagram of fuel cell

, Electrical Chain Components Evaluation vehicle

F. .. ,

, 6 3 vehicles of the Mobypost fleet

.. .. Mobypost,

.. .. Hydrogen,

, Hydrogen/Fuel cell Strategy Road map

, Hydrogen/Fuel cell Strategy Road map about FCV and hydrogen stations, vol.42, p.21

, Development objectives of hydrogen fuel cell vehicles in China, p.25

. .. Energy-management-strategy,

.. .. Operating,

, Fuzzy membership function of battery SOC

.. .. Fuzzy,

.. .. Speed,

. Comparative and . .. Soc,

]. .. , 35 2.10 Wavelet transform for the Fuel cells-batteries-supercapacitors-architecture [78]

]. .. , 42 2.14 (a)Supercapacitor power, (b) Power dissipated in the braking resistor dissipated power, and (c) total power of the energy sources, p.43

, 15 Response of fuel-cell hybrid vehicle with hybrid storage system, p.47

, The (a) power distribution and (b) battery voltage[139, 140]

, The (a) power distribution and (b) battery voltage[139, 140]

. .. , 20 FUDS cycle-sprinter power allocation of the sources[94], p.57

, Comparison between the Pareto front and the performance of randomly tuned parameters; (b) Optimal strategy parameters for the Pareto front

, Experimental evaluation of the power management strategy over Manhattan drive cycle, p.61

.. .. Powertrain-architecture,

, Structural and functional decomposition of a fuel cell stack[165, p.73

.. .. Ballard,

, Fuel cell polarization curve

, Fuel cell system efficiency curve along with stack current, p.78

.. .. Battery,

, 83 3.11 2-quadrant DC/DC buck/boost converter for supercapacitor, p.83

, Architecture of rule based control strategy, vol.87

, Flow chart of operating mode control strategy

, 90 3.18 Load power profile for composite drive cycle of WVUCITY

. .. Soc, Simulation results of battery SOC and supercapacitor, p.92

, Simulation results of fuel cell, battery and supercapacitor currents for three control strategies

. .. Model-based-prognostics-architecture, 96 4.2 The general architecture of prognostic approach for estimation of power sources SOHs

. .. Soh, Estimation of the stack voltage, vol.100

, Battery model fitting for the aged battery

, Battery degradation model fit for aged battery

, On-line UKF estimates of the degradation state parameter and SOH, p.102

, Comparative results of fuel cell system efficiency between new fuel cell and aged one

, Comparative results of ECMS under different power sources degradation conditions

. Control and . .. Fchev, 10 Comparative results of AECMS under different power sources degradation conditions, vol.107

, Schematics of the rapid-prototyping test bench used to validate the energy management system

.. .. Input-i/o-model,

.. .. Output-i/o-model,

. .. Hierarchical-control-architecture,

. .. Test-bench-architecture,

.. .. Dc/dc-converters,

, Control of power supply and electronic load through MicroAutoBox ?, p.113

?. .. Microautobox,

.. .. Current,

, Drive cycle profile and load power profile

, 12 DC bus voltage profile and current profile

, Comparison of experiment and simulation results of battery SOC, p.118

. .. Secms, Comparison of experiment and simulation results of, vol.120

. Experimental and . .. Soc, , p.121

, Experimental results of fuel cell, battery and supercapacitor current for three control strategies

H. .. , Comparison of fuel cell reference currents for SECMS

, Real-world demonstration projects of fuel cell vehicles and their specifications[11]

]. .. , Comparison of different kinds of fuel cells, p.11

, Comparison of batteries and supercapacitor

, Highway/FUDS driving cycle comparative results

, Fuel cell parameters

, Cooling fan speed and stack temperature

. .. Constraints, , p.86

, Parameters for three drive cycles

, Comparative results for three EMSs

, Four degradation conditions of power sources

, Simulation results of ECMS for four conditions

, Simulation results of AECMS for four conditions

. .. Experimental-results, 117 Document generated with L AT E X and: the L AT E X style for PhD Thesis created by S