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Configuration optimization for improving fuel efficiency of power split hybrid powertrains with a single planetary gear

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  • Pei, Huanxin
  • Hu, Xiaosong
  • Yang, Yalian
  • Tang, Xiaolin
  • Hou, Cong
  • Cao, Dongpu

Abstract

In order to significantly reduce vehicular fuel consumption and emission pollutants, power-split hybrid electric vehicles are increasingly deployed to ensure that internal combustion engines work at their high-efficiency regions. Because of multiple power components (internal combustion engine, two electric machines, and a driveshaft to the wheels), configurations of such vehicular powertrains are typically very complicated. In order to systematically analyze and design a fuel-optimal powertrain, an innovative hierarchical topological graph approach is proposed. This method comprises four major design processes: (1) modeling of hybrid vehicle powertrain systems, (2) generation of a configuration pool, (3) identification of isomorphism, and (4) classification of configuration modes. Potential power-split hybrid vehicle designs are rigorously examined via a dynamic programming algorithm to estimate their acceleration performance (0–100 km/h) and fuel economy in various driving cycles.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:appene:v:214:y:2018:i:c:p:103-116
    DOI: 10.1016/j.apenergy.2018.01.070
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    References listed on IDEAS

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    Citations

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    Cited by:

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    2. Wenjian Yang & Yongtao Li & Rongjiang Cui & Hongmei Kang, 2023. "A New Tree Graph Method for Synthesizing Planetary Gear Trains of Vehicle Powertrains," Energies, MDPI, vol. 16(20), pages 1-27, October.
    3. Yang, Yalian & Li, Pengshuai & Pei, Huanxin & Zou, Yunge, 2022. "Design of all-wheel-drive power-split hybrid configuration schemes based on hierarchical topology graph theory," Energy, Elsevier, vol. 242(C).
    4. Huijun Yue & Jinyu Lin & Peng Dong & Zhinan Chen & Xiangyang Xu, 2023. "Configurations and Control Strategies of Hybrid Powertrain Systems," Energies, MDPI, vol. 16(2), pages 1-18, January.
    5. Wu, Wei & Luo, Junlin & Zou, Tiangang & Liu, Yin & Yuan, Shihua & Xiao, Bingqing, 2022. "Systematic design and power management of a novel parallel hybrid electric powertrain for heavy-duty vehicles," Energy, Elsevier, vol. 253(C).
    6. 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.
    7. Hyukjoon Kwon & Monika Ivantysynova, 2020. "System Characteristics Analysis for Energy Management of Power-Split Hydraulic Hybrids," Energies, MDPI, vol. 13(7), pages 1-23, April.
    8. Peng Xing & Junzhu Yao, 2022. "Power Battery Echelon Utilization and Recycling Strategy for New Energy Vehicles Based on Blockchain Technology," Sustainability, MDPI, vol. 14(19), pages 1-21, September.
    9. Zhang, Feitie & Yang, Fuyuan & Xue, Dianlun & Cai, Yuanchun, 2019. "Optimization of compound power split configurations in PHEV bus for fuel consumption and battery degradation decreasing," Energy, Elsevier, vol. 169(C), pages 937-957.
    10. Anselma, Pier Giuseppe, 2022. "Electrified powertrain sizing for vehicle fleets of car makers considering total ownership costs and CO2 emission legislation scenarios," Applied Energy, Elsevier, vol. 314(C).
    11. Geng, Wenran & Lou, Diming & Wang, Chen & Zhang, Tong, 2020. "A cascaded energy management optimization method of multimode power-split hybrid electric vehicles," Energy, Elsevier, vol. 199(C).
    12. Wang, Sinan & Chen, Kangda & Zhao, Fuquan & Hao, Han, 2019. "Technology pathways for complying with Corporate Average Fuel Consumption regulations up to 2030: A case study of China," Applied Energy, Elsevier, vol. 241(C), pages 257-277.
    13. Tang, Yanyan & Zhang, Qi & Li, Yaoming & Li, Hailong & Pan, Xunzhang & Mclellan, Benjamin, 2019. "The social-economic-environmental impacts of recycling retired EV batteries under reward-penalty mechanism," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    14. Xingxing Wang & Shengren Liu & Peilin Ye & Yu Zhu & Yinnan Yuan & Linfei Chen, 2023. "Study of a Hybrid Vehicle Powertrain Parameter Matching Design Based on the Combination of Orthogonal Test and Cruise Software," Sustainability, MDPI, vol. 15(14), pages 1-28, July.
    15. Ju, Fei & Zhuang, Weichao & Wang, Liangmo & Zhang, Zhe, 2020. "Comparison of four-wheel-drive hybrid powertrain configurations," Energy, Elsevier, vol. 209(C).
    16. Wenjian Yang & Changping Li, 2022. "Symmetry Detection and Topological Synthesis of Mechanisms of Powertrains," Energies, MDPI, vol. 15(13), pages 1-22, June.
    17. Hao Hao & Wenxian Xu & Fangfang Wei & Chuanliang Wu & Zhaoran Xu, 2022. "Reward–Penalty vs. Deposit–Refund: Government Incentive Mechanisms for EV Battery Recycling," Energies, MDPI, vol. 15(19), pages 1-18, September.
    18. Cipek, Mihael & Kasać, Josip & Pavković, Danijel & Zorc, Davor, 2020. "A novel cascade approach to control variables optimisation for advanced series-parallel hybrid electric vehicle power-train," Applied Energy, Elsevier, vol. 276(C).
    19. Zhuang, Weichao & Li (Eben), Shengbo & Zhang, Xiaowu & Kum, Dongsuk & Song, Ziyou & Yin, Guodong & Ju, Fei, 2020. "A survey of powertrain configuration studies on hybrid electric vehicles," Applied Energy, Elsevier, vol. 262(C).
    20. Yang, Yalian & Pei, Huanxin & Hu, Xiaosong & Liu, Yonggang & Hou, Cong & Cao, Dongpu, 2019. "Fuel economy optimization of power split hybrid vehicles: A rapid dynamic programming approach," Energy, Elsevier, vol. 166(C), pages 929-938.
    21. 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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