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Modelling and Design of Real-Time Energy Management Systems for Fuel Cell/Battery Electric Vehicles

Author

Listed:
  • Alessandro Serpi

    (Department of Electrical and Electronic Engineering, University of Cagliari, 09123 Cagliari, Italy
    Novel Electric Propulsion Systems, NEPSY srl, 09127 Cagliari, Italy)

  • Mario Porru

    (Department of Electrical and Electronic Engineering, University of Cagliari, 09123 Cagliari, Italy
    Novel Electric Propulsion Systems, NEPSY srl, 09127 Cagliari, Italy)

Abstract

Modelling and design of real-time energy management systems for optimising the operating costs of a fuel cell/battery electric vehicle are presented in this paper. The proposed energy management system consists of optimally sharing the propulsion power demand between the fuel cell and battery by enabling them to support each other for operating cost minimisation. The optimisation is achieved through real-time minimisation of a cost function, which accounts for fuel cell and battery degradation, hydrogen consumption and charge sustaining costs. A detailed analysis of each term of the overall cost function is performed and presented, which enables the development of a real-time, advanced energy management system for improving a previously presented simplified version using more accurate modelling and by considering cost function minimisation over a given time horizon. The performance of the proposed advanced energy management system are verified through numerical simulations over different driving cycles; particularly, simulations were performed in MATLAB-Simulink by considering a hysteresis-based energy management system and both simplified and advanced versions of the proposed energy management system for comparison.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:22:p:4260-:d:285002
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    References listed on IDEAS

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    Cited by:

    1. Kliti Kodra & Ningfan Zhong, 2020. "Singularly Perturbed Modeling and LQR Controller Design for a Fuel Cell System," Energies, MDPI, vol. 13(11), pages 1-20, May.
    2. Adriano Ceschia & Toufik Azib & Olivier Bethoux & Francisco Alves, 2020. "Optimal Sizing of Fuel Cell Hybrid Power Sources with Reliability Consideration," Energies, MDPI, vol. 13(13), pages 1-18, July.
    3. Wen Sun & Juncai Rong & Junnian Wang & Wentong Zhang & Zidong Zhou, 2021. "Research on Optimal Torque Control of Turning Energy Consumption for EVs with Motorized Wheels," Energies, MDPI, vol. 14(21), pages 1-15, October.
    4. Carlo Baron & Ameena S. Al-Sumaiti & Sergio Rivera, 2020. "Impact of Energy Storage Useful Life on Intelligent Microgrid Scheduling," Energies, MDPI, vol. 13(4), pages 1-23, February.
    5. Phatiphat Thounthong & Matheepot Phattanasak & Damien Guilbert & Noureddine Takorabet & Serge Pierfederici & Babak Nahid-Mobarakeh & Nicu Bizon & Poom Kumam, 2020. "Differential Flatness Based-Control Strategy of a Two-Port Bidirectional Supercapacitor Converter for Hydrogen Mobility Applications," Energies, MDPI, vol. 13(11), pages 1-24, June.
    6. Ching-Ming Lai & Jiashen Teh & Yuan-Chih Lin & Yitao Liu, 2020. "Study of a Bidirectional Power Converter Integrated with Battery/Ultracapacitor Dual-Energy Storage," Energies, MDPI, vol. 13(5), pages 1-23, March.

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