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Supercapacitor Storage Sizing Analysis for a Series Hybrid Vehicle

Author

Listed:
  • Massimiliano Passalacqua

    (Department of Electrical, Electronic, Tlc Engineering and Naval Architecture (DITEN), University of Genoa, via all’Opera Pia 11a, 16145 Genova, Italy)

  • Mauro Carpita

    (Institute of Energy and Electrical Systems (IESE), University of Applied Sciences of Western Switzerland, route de Cheseaux 1, CH 1400 Yverdon-les-Bains, Switzerland)

  • Serge Gavin

    (Institute of Energy and Electrical Systems (IESE), University of Applied Sciences of Western Switzerland, route de Cheseaux 1, CH 1400 Yverdon-les-Bains, Switzerland)

  • Mario Marchesoni

    (Department of Electrical, Electronic, Tlc Engineering and Naval Architecture (DITEN), University of Genoa, via all’Opera Pia 11a, 16145 Genova, Italy)

  • Matteo Repetto

    (Department of Mechanical, Energy, Management and Transportation Engineering (DIME), University of Genova, via all’Opera Pia 15, 16145 Genova, Italy)

  • Luis Vaccaro

    (Department of Electrical, Electronic, Tlc Engineering and Naval Architecture (DITEN), University of Genoa, via all’Opera Pia 11a, 16145 Genova, Italy)

  • Sébastien Wasterlain

    (Institute of Energy and Electrical Systems (IESE), University of Applied Sciences of Western Switzerland, route de Cheseaux 1, CH 1400 Yverdon-les-Bains, Switzerland)

Abstract

The increasing interest in Hybrid Electric Vehicles led to the study of new powertrain structures. In particular, it was demonstrated in the technical literature how series architecture can be more efficient, compared to parallel one, if supercapacitors are used as storage system. Since supercapacitors are characterized by high efficiency and high power density, but have low specific energy, storage sizing is a critical point with this technology. In this study, a detailed analysis on the effect of supercapacitor storage sizing on series architecture was carried out. In particular, in series architecture, supercapacitor storage sizing influences both engine number of starts and the energy that can be stored during regenerative braking. The first aspect affects the comfort, whereas the second aspect directly influences powertrain efficiency. Vehicle model and Energy Management System were studied and simulations were carried out for different storage energy, in order to define the optimal sizing.

Suggested Citation

  • Massimiliano Passalacqua & Mauro Carpita & Serge Gavin & Mario Marchesoni & Matteo Repetto & Luis Vaccaro & Sébastien Wasterlain, 2019. "Supercapacitor Storage Sizing Analysis for a Series Hybrid Vehicle," Energies, MDPI, vol. 12(9), pages 1-15, May.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:9:p:1759-:d:229599
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    References listed on IDEAS

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    1. Millo, F. & Cubito, C. & Rolando, L. & Pautasso, E. & Servetto, E., 2017. "Design and development of an hybrid light commercial vehicle," Energy, Elsevier, vol. 136(C), pages 90-99.
    2. Chen, Syuan-Yi & Wu, Chien-Hsun & Hung, Yi-Hsuan & Chung, Cheng-Ta, 2018. "Optimal strategies of energy management integrated with transmission control for a hybrid electric vehicle using dynamic particle swarm optimization," Energy, Elsevier, vol. 160(C), pages 154-170.
    3. Yue Hu & Weimin Li & Hui Xu & Guoqing Xu, 2015. "An Online Learning Control Strategy for Hybrid Electric Vehicle Based on Fuzzy Q-Learning," Energies, MDPI, vol. 8(10), pages 1-20, October.
    4. Roberto Finesso & Daniela Misul & Ezio Spessa & Mattia Venditti, 2018. "Optimal Design of Power-Split HEVs Based on Total Cost of Ownership and CO 2 Emission Minimization," Energies, MDPI, vol. 11(7), pages 1-28, July.
    5. Massimiliano Passalacqua & Damiano Lanzarotto & Matteo Repetto & Mario Marchesoni, 2017. "Advantages of Using Supercapacitors and Silicon Carbide on Hybrid Vehicle Series Architecture," Energies, MDPI, vol. 10(7), pages 1-14, July.
    6. Andrea Bonfiglio & Damiano Lanzarotto & Mario Marchesoni & Massimiliano Passalacqua & Renato Procopio & Matteo Repetto, 2017. "Electrical-Loss Analysis of Power-Split Hybrid Electric Vehicles," Energies, MDPI, vol. 10(12), pages 1-17, December.
    7. Xiang, Changle & Ding, Feng & Wang, Weida & He, Wei, 2017. "Energy management of a dual-mode power-split hybrid electric vehicle based on velocity prediction and nonlinear model predictive control," Applied Energy, Elsevier, vol. 189(C), pages 640-653.
    8. Pei, Huanxin & Hu, Xiaosong & Yang, Yalian & Tang, Xiaolin & Hou, Cong & Cao, Dongpu, 2018. "Configuration optimization for improving fuel efficiency of power split hybrid powertrains with a single planetary gear," Applied Energy, Elsevier, vol. 214(C), pages 103-116.
    9. Fengqi Zhang & Haiou Liu & Yuhui Hu & Junqiang Xi, 2016. "A Supervisory Control Algorithm of Hybrid Electric Vehicle Based on Adaptive Equivalent Consumption Minimization Strategy with Fuzzy PI," Energies, MDPI, vol. 9(11), pages 1-26, November.
    10. Qiwei Xu & Yunqi Mao & Meng Zhao & Shumei Cui, 2018. "A Hybrid Electric Vehicle Dynamic Optimization Energy Management Strategy Based on a Compound-Structured Permanent-Magnet Motor," Energies, MDPI, vol. 11(9), pages 1-17, August.
    11. Cipek, Mihael & Pavković, Danijel & Petrić, Joško, 2013. "A control-oriented simulation model of a power-split hybrid electric vehicle," Applied Energy, Elsevier, vol. 101(C), pages 121-133.
    12. Roberto Capata, 2018. "Urban and Extra-Urban Hybrid Vehicles: A Technological Review," Energies, MDPI, vol. 11(11), pages 1-38, October.
    13. Xiaofeng Ding & Jiawei Cheng & Feida Chen, 2017. "Impact of Silicon Carbide Devices on the Powertrain Systems in Electric Vehicles," Energies, MDPI, vol. 10(4), pages 1-17, April.
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    Cited by:

    1. Alessandro Benevieri & Lorenzo Carbone & Simone Cosso & Krishneel Kumar & Mario Marchesoni & Massimiliano Passalacqua & Luis Vaccaro, 2021. "Series Architecture on Hybrid Electric Vehicles: A Review," Energies, MDPI, vol. 14(22), pages 1-31, November.
    2. Mitsuhide Sato & Takumi Goto & Jianping Zheng & Shoma Irie, 2020. "Resonant Combustion Start Considering Potential Energy of Free-Piston Engine Generator," Energies, MDPI, vol. 13(21), pages 1-17, November.
    3. Xiaoping Li & Junming Zhou & Wei Guan & Feng Jiang & Guangming Xie & Chunfeng Wang & Weiguang Zheng & Zhijie Fang, 2023. "Optimization of Brake Feedback Efficiency for Small Pure Electric Vehicles Based on Multiple Constraints," Energies, MDPI, vol. 16(18), pages 1-20, September.
    4. Gustavo Navarro & Jorge Torres & Marcos Blanco & Jorge Nájera & Miguel Santos-Herran & Marcos Lafoz, 2021. "Present and Future of Supercapacitor Technology Applied to Powertrains, Renewable Generation and Grid Connection Applications," Energies, MDPI, vol. 14(11), pages 1-29, May.
    5. Mario Marchesoni & Massimiliano Passalacqua & Luis Vaccaro, 2020. "A Refined Loss Evaluation of a Three-Switch Double Input DC-DC Converter for Hybrid Vehicle Applications," Energies, MDPI, vol. 13(1), pages 1-13, January.
    6. Chien-Hsun Wu & Yong-Xiang Xu, 2019. "The Optimal Control of Fuel Consumption for a Heavy-Duty Motorcycle with Three Power Sources Using Hardware-in-the-Loop Simulation," Energies, MDPI, vol. 13(1), pages 1-16, December.
    7. Sekhar Raghu Raman & Ka-Wai (Eric) Cheng & Xiang-Dang Xue & Yat-Chi Fong & Simon Cheung, 2021. "Hybrid Energy Storage System with Vehicle Body Integrated Super-Capacitor and Li-Ion Battery: Model, Design and Implementation, for Distributed Energy Storage," Energies, MDPI, vol. 14(20), pages 1-22, October.
    8. Matteo Repetto & Massimiliano Passalacqua & Luis Vaccaro & Mario Marchesoni & Alessandro Pini Prato, 2020. "Turbocompound Power Unit Modelling for a Supercapacitor-Based Series Hybrid Vehicle Application," Energies, MDPI, vol. 13(2), pages 1-20, January.

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