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Energy management of a plug-in fuel cell/battery hybrid vehicle with on-board fuel processing

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  • Tribioli, Laura
  • Cozzolino, Raffaello
  • Chiappini, Daniele
  • Iora, Paolo

Abstract

This paper describes the energy management controller design of a mid-sized vehicle driven by a fuel cell/battery plug-in hybrid powertrain, where an experimentally validated hight temperature polymer electrolyte membrane fuel cell model is used. The power management strategy is derived by the application of the Pontryagin’s Minimum Principle, where the control parameter is adapted by using feedback information on the state of charge and total trip length forecast as a function of a moving average of past information about the driving cycle speed. The strategy we propose aims at achieving a real time sub-optimal solution of the control problem which is cast into the minimization of the consumed fuel. The vehicle is also equipped by an auto-thermal reformer and, in order to minimize the hydrogen buffer size, the control algorithm is subject to constraints on the maximum hydrogen buffer level. A comparative analysis of the proposed strategy against the optimal one is conducted and results are reported. The obtained fuel consumptions are also compared to those obtained by the same vehicle, powered by an internal combustion engine and by a plug-in hybrid electric powertrain.

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  • Tribioli, Laura & Cozzolino, Raffaello & Chiappini, Daniele & Iora, Paolo, 2016. "Energy management of a plug-in fuel cell/battery hybrid vehicle with on-board fuel processing," Applied Energy, Elsevier, vol. 184(C), pages 140-154.
    • Handle: RePEc:eee:appene:v:184:y:2016:i:c:p:140-154
    DOI: 10.1016/j.apenergy.2016.10.015
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    Cited by:

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    2. Du, Guodong & Zou, Yuan & Zhang, Xudong & Guo, Lingxiong & Guo, Ningyuan, 2022. "Energy management for a hybrid electric vehicle based on prioritized deep reinforcement learning framework," Energy, Elsevier, vol. 241(C).
    3. Samsun, Remzi Can & Prawitz, Matthias & Tschauder, Andreas & Meißner, Jan & Pasel, Joachim & Peters, Ralf, 2020. "Reforming of diesel and jet fuel for fuel cells on a systems level: Steady-state and transient operation," Applied Energy, Elsevier, vol. 279(C).
    4. Edwin R. Grijalva & José María López Martínez & M. Nuria Flores & Víctor Del Pozo, 2018. "Design and Simulation of a Powertrain System for a Fuel Cell Extended Range Electric Golf Car," Energies, MDPI, vol. 11(7), pages 1-30, July.
    5. Peng, Hujun & Chen, Zhu & Li, Jianxiang & Deng, Kai & Dirkes, Steffen & Gottschalk, Jonas & Ünlübayir, Cem & Thul, Andreas & Löwenstein, Lars & Pischinger, Stefan & Hameyer, Kay, 2021. "Offline optimal energy management strategies considering high dynamics in batteries and constraints on fuel cell system power rate: From analytical derivation to validation on test bench," Applied Energy, Elsevier, vol. 282(PA).
    6. Nie, Zhigen & Jia, Yuan & Wang, Wanqiong & Chen, Zheng & Outbib, Rachid, 2022. "Co-optimization of speed planning and energy management for intelligent fuel cell hybrid vehicle considering complex traffic conditions," Energy, Elsevier, vol. 247(C).
    7. Laura Tribioli & Raffaello Cozzolino & Daniele Chiappini, 2017. "Technical Assessment of Different Operating Conditions of an On-Board Autothermal Reformer for Fuel Cell Vehicles," Energies, MDPI, vol. 10(7), pages 1-17, June.
    8. Chen, Kui & Laghrouche, Salah & Djerdir, Abdesslem, 2019. "Degradation model of proton exchange membrane fuel cell based on a novel hybrid method," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    9. Kwan, Trevor Hocksun & Katsushi, Fujii & Shen, Yongting & Yin, Shunan & Zhang, Yongchao & Kase, Kiwamu & Yao, Qinghe, 2020. "Comprehensive review of integrating fuel cells to other energy systems for enhanced performance and enabling polygeneration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 128(C).
    10. Purnima, P. & Jayanti, S., 2017. "Water neutrality and waste heat management in ethanol reformer - HTPEMFC integrated system for on-board hydrogen generation," Applied Energy, Elsevier, vol. 199(C), pages 169-179.
    11. Alessandro Serpi & Mario Porru, 2019. "Modelling and Design of Real-Time Energy Management Systems for Fuel Cell/Battery Electric Vehicles," Energies, MDPI, vol. 12(22), pages 1-21, November.
    12. Xueqin Lü, & Wu, Yinbo & Lian, Jie & Zhang, Yangyang, 2021. "Energy management and optimization of PEMFC/battery mobile robot based on hybrid rule strategy and AMPSO," Renewable Energy, Elsevier, vol. 171(C), pages 881-901.
    13. Kurnia, Jundika C. & Sasmito, Agus P. & Shamim, Tariq, 2017. "Performance evaluation of a PEM fuel cell stack with variable inlet flows under simulated driving cycle conditions," Applied Energy, Elsevier, vol. 206(C), pages 751-764.
    14. Guo, Ningyuan & Shen, Jiangwei & Xiao, Renxin & Yan, Wensheng & Chen, Zheng, 2018. "Energy management for plug-in hybrid electric vehicles considering optimal engine ON/OFF control and fast state-of-charge trajectory planning," Energy, Elsevier, vol. 163(C), pages 457-474.
    15. Xiao Hu & Shikun Liu & Ke Song & Yuan Gao & Tong Zhang, 2021. "Novel Fuzzy Control Energy Management Strategy for Fuel Cell Hybrid Electric Vehicles Considering State of Health," Energies, MDPI, vol. 14(20), pages 1-20, October.
    16. Yao He & Changchang Miao & Ji Wu & Xinxin Zheng & Xintian Liu & Xingtao Liu & Feng Han, 2021. "Research on the Power Distribution Method for Hybrid Power System in the Fuel Cell Vehicle," Energies, MDPI, vol. 14(3), pages 1-15, January.
    17. Samsun, Remzi Can & Prawitz, Matthias & Tschauder, Andreas & Pasel, Joachim & Pfeifer, Peter & Peters, Ralf & Stolten, Detlef, 2018. "An integrated diesel fuel processing system with thermal start-up for fuel cells," Applied Energy, Elsevier, vol. 226(C), pages 145-159.
    18. Sulaiman, N. & Hannan, M.A. & Mohamed, A. & Ker, P.J. & Majlan, E.H. & Wan Daud, W.R., 2018. "Optimization of energy management system for fuel-cell hybrid electric vehicles: Issues and recommendations," Applied Energy, Elsevier, vol. 228(C), pages 2061-2079.
    19. Wu, Wei & Chuang, Bo-Neng & Hwang, Jenn-Jiang & Lin, Chien-Kung & Yang, Shu-Bo, 2019. "Techno-economic evaluation of a hybrid fuel cell vehicle with on-board MeOH-to-H2 processor," Applied Energy, Elsevier, vol. 238(C), pages 401-412.
    20. Wang, Yujie & Sun, Zhendong & Chen, Zonghai, 2019. "Energy management strategy for battery/supercapacitor/fuel cell hybrid source vehicles based on finite state machine," Applied Energy, Elsevier, vol. 254(C).
    21. Sun, Wenjing & Zou, Yuan & Zhang, Xudong & Guo, Ningyuan & Zhang, Bin & Du, Guodong, 2022. "High robustness energy management strategy of hybrid electric vehicle based on improved soft actor-critic deep reinforcement learning," Energy, Elsevier, vol. 258(C).
    22. Sun, Zhendong & Wang, Yujie & Chen, Zonghai & Li, Xiyun, 2020. "Min-max game based energy management strategy for fuel cell/supercapacitor hybrid electric vehicles," Applied Energy, Elsevier, vol. 267(C).
    23. Lei, Zhenzhen & Qin, Datong & Hou, Liliang & Peng, Jingyu & Liu, Yonggang & Chen, Zheng, 2020. "An adaptive equivalent consumption minimization strategy for plug-in hybrid electric vehicles based on traffic information," Energy, Elsevier, vol. 190(C).
    24. Facci, Andrea L. & Ubertini, Stefano, 2018. "Analysis of a fuel cell combined heat and power plant under realistic smart management scenarios," Applied Energy, Elsevier, vol. 216(C), pages 60-72.
    25. Song, Ke & Ding, Yuhang & Hu, Xiao & Xu, Hongjie & Wang, Yimin & Cao, Jing, 2021. "Degradation adaptive energy management strategy using fuel cell state-of-health for fuel economy improvement of hybrid electric vehicle," Applied Energy, Elsevier, vol. 285(C).

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