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Research on a Novel Hydraulic/Electric Synergy Bus

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  • Kegang Zhao

    (National Local Joint Engineering Laboratory of Automobile Parts Technology, South China University of Technology, Guangzhou 510640, China
    Department of Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo, ON N2L3G1, Canada)

  • Zhihao Liang

    (National Local Joint Engineering Laboratory of Automobile Parts Technology, South China University of Technology, Guangzhou 510640, China)

  • Yanjun Huang

    (Department of Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo, ON N2L3G1, Canada)

  • Hong Wang

    (Department of Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo, ON N2L3G1, Canada)

  • Amir Khajepour

    (Department of Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo, ON N2L3G1, Canada)

  • Yuke Zhen

    (National Local Joint Engineering Laboratory of Automobile Parts Technology, South China University of Technology, Guangzhou 510640, China)

Abstract

In recent years, increasing concerns regarding environmental pollution and requirements for lower fossil fuel consumption have increased interest in alternative hybrid powertrains. As a result, this paper presents a novel hydraulic/electric synergy powertrain with multiple working modes. The three energy sources (i.e., engine, battery, and hydraulic accumulator) in this configuration are regulated by a dual planetary gear set to achieve optimal performances. This paper selects the component sizes of a hybrid electric vehicle (HEV), a hydraulic hybrid vehicle (HHV), and a hydraulic/electric synergy vehicle (HESV), based on the dynamic performance of a target vehicle (TV). In addition, this paper develops the forward simulation models of the four aforementioned vehicles in the MATLAB/Simulink/Driveline platform, in which the fuel economy simulations are carried out in relation to the Chinese urban bus cycle. The simulation results show that the fuel consumption of the three hybrid vehicles is similar, but much better than, that of the TV. Finally, based on the operating cost calculations over a five-year working period, the lowest cost ranges of the three hybrid vehicles are determined, which provides a method for choosing the optimal hybrid scheme.

Suggested Citation

  • Kegang Zhao & Zhihao Liang & Yanjun Huang & Hong Wang & Amir Khajepour & Yuke Zhen, 2017. "Research on a Novel Hydraulic/Electric Synergy Bus," Energies, MDPI, vol. 11(1), pages 1-18, December.
    • Handle: RePEc:gam:jeners:v:11:y:2017:i:1:p:34-:d:124226
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    References listed on IDEAS

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    1. Pregelj, Boštjan & Vrečko, Darko & Petrovčič, Janko & Jovan, Vladimir & Dolanc, Gregor, 2015. "A model-based approach to battery selection for truck onboard fuel cell-based APU in an anti-idling application," Applied Energy, Elsevier, vol. 137(C), pages 64-76.
    2. Tie, Siang Fui & Tan, Chee Wei, 2013. "A review of energy sources and energy management system in electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 82-102.
    3. Yang Yang & Chang Luo & Pengxi Li, 2017. "Regenerative Braking Control Strategy of Electric-Hydraulic Hybrid (EHH) Vehicle," Energies, MDPI, vol. 10(7), pages 1-18, July.
    4. Jia-Shiun Chen, 2015. "Energy Efficiency Comparison between Hydraulic Hybrid and Hybrid Electric Vehicles," Energies, MDPI, vol. 8(6), pages 1-27, May.
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    Cited by:

    1. Hu, Jie & Liu, Di & Du, Changqing & Yan, Fuwu & Lv, Chen, 2020. "Intelligent energy management strategy of hybrid energy storage system for electric vehicle based on driving pattern recognition," Energy, Elsevier, vol. 198(C).
    2. Jian Yang & Tiezhu Zhang & Hongxin Zhang & Jichao Hong & Zewen Meng, 2020. "Research on the Starting Acceleration Characteristics of a New Mechanical–Electric–Hydraulic Power Coupling Electric Vehicle," Energies, MDPI, vol. 13(23), pages 1-20, November.
    3. Kegang Zhao & Jinghao Bei & Yanwei Liu & Zhihao Liang, 2019. "Development of Global Optimization Algorithm for Series-Parallel PHEV Energy Management Strategy Based on Radau Pseudospectral Knotting Method," Energies, MDPI, vol. 12(17), pages 1-23, August.

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