IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v187y2019ics0360544219316470.html
   My bibliography  Save this article

Design and downhill speed control of an electric-hydrostatic hydraulic hybrid powertrain in battery-powered rail vehicles

Author

Listed:
  • Liu, Huanlong
  • Jiang, Yue
  • Li, Shun

Abstract

The diesel-driven rail vehicles are gradually replaced by battery-powered rail vehicles (BRVs), due to its exhaust emissions and noise. However, the development of BRVs have two aspects that need improvement: low energy efficiency and poor downhill stability. To address these problems, this paper presents the design and downhill speed control of an electric-hydrostatic hydraulic hybrid (EH3) powertrain, which is mainly composed of a variable pump, a variable pump/motor, a proportional flow control valve (PFCV) and accumulators. Through a laboratory test bench, the hydraulic regenerative/non-friction braking performance of an EH3 powertrain is validated and experimentally analyzed. The hydraulic average energy recovery rate could be 50%. The method of downhill speed control is proposed, which is validated by the simulation results. During the downhill process, EH3 rail vehicle has a relatively high energy efficiency, which will bring good economic benefits in energy conversation and environmental protection.

Suggested Citation

  • Liu, Huanlong & Jiang, Yue & Li, Shun, 2019. "Design and downhill speed control of an electric-hydrostatic hydraulic hybrid powertrain in battery-powered rail vehicles," Energy, Elsevier, vol. 187(C).
  • Handle: RePEc:eee:energy:v:187:y:2019:i:c:s0360544219316470
    DOI: 10.1016/j.energy.2019.115957
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544219316470
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2019.115957?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Di Zhao & Liang Chu & Nan Xu & Chengwei Sun & Yanwu Xu, 2018. "Development of a Cooperative Braking System for Front-Wheel Drive Electric Vehicles," Energies, MDPI, vol. 11(2), pages 1-24, February.
    2. Bravo, Rafael Rivelino Silva & De Negri, Victor Juliano & Oliveira, Amir Antonio Martins, 2018. "Design and analysis of a parallel hydraulic – pneumatic regenerative braking system for heavy-duty hybrid vehicles," Applied Energy, Elsevier, vol. 225(C), pages 60-77.
    3. Yi, Tong & Ma, Fei & Jin, Chun & Huang, Yanjun, 2018. "A novel coupled hydro-pneumatic energy storage system for hybrid mining trucks," Energy, Elsevier, vol. 143(C), pages 704-718.
    4. Wu, Wei & Hu, Jibin & Yuan, Shihua & Di, Chongfeng, 2016. "A hydraulic hybrid propulsion method for automobiles with self-adaptive system," Energy, Elsevier, vol. 114(C), pages 683-692.
    5. Wu, Wei & Hu, Jibin & Jing, Chongbo & Jiang, Zhonglin & Yuan, Shihua, 2014. "Investigation of energy efficient hydraulic hybrid propulsion system for automobiles," Energy, Elsevier, vol. 73(C), pages 497-505.
    6. Pugi, L. & Pagliai, M. & Nocentini, A. & Lutzemberger, G. & Pretto, A., 2017. "Design of a hydraulic servo-actuation fed by a regenerative braking system," Applied Energy, Elsevier, vol. 187(C), pages 96-115.
    7. Ramakrishnan, R. & Hiremath, Somashekhar S. & Singaperumal, M., 2014. "Design strategy for improving the energy efficiency in series hydraulic/electric synergy system," Energy, Elsevier, vol. 67(C), pages 422-434.
    8. 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.
    9. Li, Liang & Li, Xujian & Wang, Xiangyu & Song, Jian & He, Kai & Li, Chenfeng, 2016. "Analysis of downshift’s improvement to energy efficiency of an electric vehicle during regenerative braking," Applied Energy, Elsevier, vol. 176(C), pages 125-137.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Li, Lin & Zhang, Tiezhu & Lu, Liqun & Zhang, Hongxin & Yang, Jian & Zhang, Zhen, 2023. "An energy active regulation management strategy based on driving mode recognition for electro-hydraulic hybrid vehicles," Energy, Elsevier, vol. 285(C).
    2. Liu, Huanlong & Chen, Guanpeng & Xie, Chixin & Li, Dafa & Wang, Jiawei & Li, Shun, 2020. "Research on energy-saving characteristics of battery-powered electric-hydrostatic hydraulic hybrid rail vehicles," Energy, Elsevier, vol. 205(C).
    3. Cipek, Mihael & Pavković, Danijel & Krznar, Matija & Kljaić, Zdenko & Mlinarić, Tomislav Josip, 2021. "Comparative analysis of conventional diesel-electric and hypothetical battery-electric heavy haul locomotive operation in terms of fuel savings and emissions reduction potentials," Energy, Elsevier, vol. 232(C).
    4. Nie, Chunhui & Shao, Yimin & Mechefske, Chris K. & Cheng, Min & Wang, Liming, 2021. "Power distribution method for a parallel hydraulic-pneumatic hybrid system using a piecewise function," Energy, Elsevier, vol. 233(C).
    5. Qu, Shaoyang & Fassbender, David & Vacca, Andrea & Busquets, Enrique, 2021. "A high-efficient solution for electro-hydraulic actuators with energy regeneration capability," Energy, Elsevier, vol. 216(C).
    6. Liu, Huanlong & Wang, Xu & Tian, Hao & Gan, Shicheng & Zhou, Jianyi & Wang, Jiawei, 2024. "Energy-saving starting method of electric motor based on the battery-accumulator hybrid drive," Energy, Elsevier, vol. 286(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yang, Chao & Sun, Tonglin & Wang, Weida & Li, Ying & Zhang, Yuhang & Zha, Mingjun, 2024. "Regenerative braking system development and perspectives for electric vehicles: An overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 198(C).
    2. Liu, Huanlong & Chen, Guanpeng & Xie, Chixin & Li, Dafa & Wang, Jiawei & Li, Shun, 2020. "Research on energy-saving characteristics of battery-powered electric-hydrostatic hydraulic hybrid rail vehicles," Energy, Elsevier, vol. 205(C).
    3. 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.
    4. Yang, Jian & Zhang, Tiezhu & Hong, Jichao & Zhang, Hongxin & Zhao, Qinghai & Meng, Zewen, 2021. "Research on driving control strategy and Fuzzy logic optimization of a novel mechatronics-electro-hydraulic power coupling electric vehicle," Energy, Elsevier, vol. 233(C).
    5. Antonia Tamborrino & Claudio Perone & Filippo Catalano & Giacomo Squeo & Francesco Caponio & Biagio Bianchi, 2019. "Modelling Energy Consumption and Energy-Saving in High-Quality Olive Oil Decanter Centrifuge: Numerical Study and Experimental Validation," Energies, MDPI, vol. 12(13), pages 1-20, July.
    6. Yu, Jin & Song, Yurun & Zhang, Huasen & Dong, Xiaohan, 2022. "Novel design of compound coupled hydro-mechanical transmission on heavy-duty vehicle for energy recycling," Energy, Elsevier, vol. 239(PD).
    7. Zhou, Junjie & Jing, Chongbo & Wu, Wei, 2020. "Energy efficiency modeling and validation of a novel swash plate-rotating type hydraulic transformer," Energy, Elsevier, vol. 193(C).
    8. Qi, Lingfei & Wu, Xiaoping & Zeng, Xiaohui & Feng, Yan & Pan, Hongye & Zhang, Zutao & Yuan, Yanping, 2020. "An electro-mechanical braking energy recovery system based on coil springs for energy saving applications in electric vehicles," Energy, Elsevier, vol. 200(C).
    9. Bao, Qianqian & Zhou, Junjie & Jing, Chongbo & Zhao, Huipeng & Wu, Yi & Zhang, Zhu, 2022. "Nonlinear dynamic model for the free rotor of the swash plate-rotating hydraulic transformer," Energy, Elsevier, vol. 261(PB).
    10. Kwon, Hyukjoon & Sprengel, Michael & Ivantysynova, Monika, 2016. "Thermal modeling of a hydraulic hybrid vehicle transmission based on thermodynamic analysis," Energy, Elsevier, vol. 116(P1), pages 650-660.
    11. Muhammad Khalid, 2019. "A Review on the Selected Applications of Battery-Supercapacitor Hybrid Energy Storage Systems for Microgrids," Energies, MDPI, vol. 12(23), pages 1-34, November.
    12. Liu, Huanlong & Wang, Xu & Tian, Hao & Gan, Shicheng & Zhou, Jianyi & Wang, Jiawei, 2024. "Energy-saving starting method of electric motor based on the battery-accumulator hybrid drive," Energy, Elsevier, vol. 286(C).
    13. Han, Zhongliang & Xu, Nan & Chen, Hong & Huang, Yanjun & Zhao, Bin, 2018. "Energy-efficient control of electric vehicles based on linear quadratic regulator and phase plane analysis," Applied Energy, Elsevier, vol. 213(C), pages 639-657.
    14. Jacek Caban & Jan Vrabel & Dorota Górnicka & Radosław Nowak & Maciej Jankiewicz & Jonas Matijošius & Marek Palka, 2023. "Overview of Energy Harvesting Technologies Used in Road Vehicles," Energies, MDPI, vol. 16(9), pages 1-32, April.
    15. Jiangbo Wang & Kai Liu & Toshiyuki Yamamoto, 2017. "Improving Electricity Consumption Estimation for Electric Vehicles Based on Sparse GPS Observations," Energies, MDPI, vol. 10(1), pages 1-12, January.
    16. Zhao, Weiwei & Zhang, Tongtong & Kildahl, Harriet & Ding, Yulong, 2022. "Mobile energy recovery and storage: Multiple energy-powered EVs and refuelling stations," Energy, Elsevier, vol. 257(C).
    17. Wen, Jianping & Zhao, Dan & Zhang, Chuanwei, 2020. "An overview of electricity powered vehicles: Lithium-ion battery energy storage density and energy conversion efficiency," Renewable Energy, Elsevier, vol. 162(C), pages 1629-1648.
    18. Guo, Qingbo & Zhang, Chengming & Li, Liyi & Gerada, David & Zhang, Jiangpeng & Wang, Mingyi, 2017. "Design and implementation of a loss optimization control for electric vehicle in-wheel permanent-magnet synchronous motor direct drive system," Applied Energy, Elsevier, vol. 204(C), pages 1317-1332.
    19. Liu, Yang & Zhang, Qi & Lyu, Cheng & Liu, Zhiyuan, 2021. "Modelling the energy consumption of electric vehicles under uncertain and small data conditions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 313-328.
    20. Zewen Meng & Tiezhu Zhang & Hongxin Zhang & Qinghai Zhao & Jian Yang, 2021. "Energy Management Strategy for an Electromechanical-Hydraulic Coupled Power Electric Vehicle Considering the Optimal Speed Threshold," Energies, MDPI, vol. 14(17), pages 1-12, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:187:y:2019:i:c:s0360544219316470. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.