IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v286y2024ics0360544223029596.html
   My bibliography  Save this article

Energy-saving starting method of electric motor based on the battery-accumulator hybrid drive

Author

Listed:
  • Liu, Huanlong
  • Wang, Xu
  • Tian, Hao
  • Gan, Shicheng
  • Zhou, Jianyi
  • Wang, Jiawei

Abstract

The series electro-hydraulic hybrid powertrain has advantages in improving the dynamic characteristics and increasing the cruising range of battery rail vehicles. In order to reduce the large peak starting current of electric motor, an energy-saving starting method is proposed, which is using the hydraulic pump/motor to reversely drive the electric motor to restart at a speed, based on the energy reverse transfer characteristics between electric motor and hydraulic pump/motor. Firstly, the principle of restarting the electric motor at a speed is proposed based on the designed EH3. Then, PID is adopted to control the starting of electric motor which is driven by hydraulic powertrain. And a speed sensorless control algorithm is designed to control the restarting at a speed. Finally, aiming at the problem that the traditional simulation models of electro-hydraulic hybrid powertrain components are too simple and ideal. The estimation model of battery and SOC, dynamic efficiency model of hydraulic motor and dynamic iron loss model of PMSM are improved and optimized to improve the accuracy of powertrain simulation. The results both of co-simulation and experiments shows that the starting current can be reduced by 69.36 % at most and 64.91 % of battery consumption can be saved by restarting the electric motor at a speed.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:energy:v:286:y:2024:i:c:s0360544223029596
    DOI: 10.1016/j.energy.2023.129565
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223029596
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2023.129565?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. Liu, Huanlong & Chen, Guanpeng & Li, Dafa & Wang, Jiawei & Zhou, Jianyi, 2021. "Energy active adjustment and bidirectional transfer management strategy of the electro-hydrostatic hydraulic hybrid powertrain for battery bus," Energy, Elsevier, vol. 230(C).
    2. 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.
    3. 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).
    4. He, Xiangyu & Liu, Hao & He, Shanghong & Hu, Bili & Xiao, Guangxin, 2019. "Research on the energy efficiency of energy regeneration systems for a battery-powered hydrostatic vehicle," Energy, Elsevier, vol. 178(C), pages 400-418.
    5. 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).
    6. 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).
    7. Cui, Taowen & Zhao, Wanzhong & Wang, Chunyan, 2019. "Design optimization of vehicle EHPS system based on multi-objective genetic algorithm," Energy, Elsevier, vol. 179(C), pages 100-110.
    Full references (including those not matched with items on IDEAS)

    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. 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. 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).
    4. 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).
    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. Yang, Jian & Liu, Bo & Zhang, Tiezhu & Hong, Jichao & Zhang, Hongxin, 2023. "Multi-parameter controlled mechatronics-electro-hydraulic power coupling electric vehicle based on active energy regulation," Energy, Elsevier, vol. 263(PC).
    7. Liu, Huanlong & Chen, Guanpeng & Li, Dafa & Wang, Jiawei & Zhou, Jianyi, 2021. "Energy active adjustment and bidirectional transfer management strategy of the electro-hydrostatic hydraulic hybrid powertrain for battery bus," Energy, Elsevier, vol. 230(C).
    8. Li, Lin & Zhang, Tiezhu & Sun, Binbin & Wu, Kaiwei & Sun, Zehao & Zhang, Zhen & Lin, Lianhua & Xu, Haigang, 2023. "Research on electro-hydraulic ratios for a novel mechanical-electro-hydraulic power coupling electric vehicle," Energy, Elsevier, vol. 270(C).
    9. Tan, Lisha & He, Xiangyu & Xiao, Guangxin & Jiang, Mengjun & Yuan, Yulin, 2022. "Design and energy analysis of novel hydraulic regenerative potential energy systems," Energy, Elsevier, vol. 249(C).
    10. Serrano, José Ramón & Piqueras, Pedro & De la Morena, Joaquín & Gómez-Vilanova, Alejandro & Guilain, Stéphane, 2021. "Methodological analysis of variable geometry turbine technology impact on the performance of highly downsized spark-ignition engines," Energy, Elsevier, vol. 215(PB).
    11. Wang, Xin & Luo, Yingbing & Qin, Bin & Guo, Lingzhong, 2022. "Power dynamic allocation strategy for urban rail hybrid energy storage system based on iterative learning control," Energy, Elsevier, vol. 245(C).
    12. Li, Chengchen & Wang, Huanran & He, Xin & Zhang, Yan, 2022. "Experimental and thermodynamic investigation on isothermal performance of large-scaled liquid piston," Energy, Elsevier, vol. 249(C).
    13. Wang, Feng & Wu, Jiaming & Lin, Zichang & Zhang, Haoxiang & Xu, Bing, 2023. "A power-sharing electro-hydraulic actuator system to downsize electric motors for electric mobile machines," Energy, Elsevier, vol. 284(C).
    14. Bui, Tri Quang & Magnussen, Ole-Petter & Cao, Vinh Duy & Wang, Wei & Kjøniksen, Anna-Lena & Aaker, Olav, 2021. "Osmotic engine converting energy from salinity difference to a hydraulic accumulator by utilizing polyelectrolyte hydrogels," Energy, Elsevier, vol. 232(C).
    15. Yan, Xiaopeng & Chen, Baijin, 2021. "Analysis of a novel energy-efficient system with 3-D vertical structure for hydraulic press," Energy, Elsevier, vol. 218(C).
    16. Jia Liang & Baofeng Yao & Yonghong Xu & Hongguang Zhang & Fubin Yang & Anren Yang & Yan Wang & Yuting Wu, 2023. "Experimental Research on Performance Comparison of Compressed Air Engine under Different Operation Modes," Energies, MDPI, vol. 16(3), pages 1-17, January.
    17. Gao, Kai & Luo, Pan & Xie, Jin & Chen, Bin & Wu, Yue & Du, Ronghua, 2023. "Energy management of plug-in hybrid electric vehicles based on speed prediction fused driving intention and LIDAR," Energy, Elsevier, vol. 284(C).
    18. Lin, Xinyou & Huang, Hao & Xu, Xinhao & Xie, Liping, 2024. "Dynamic programming solutions extracted SOC-trajectory online learning generation algorithm based approximate global optimization control strategy for a fuel cell hybrid electric vehicle," Energy, Elsevier, vol. 295(C).
    19. Rekha Guchhait & Biswajit Sarkar, 2023. "Increasing Growth of Renewable Energy: A State of Art," Energies, MDPI, vol. 16(6), pages 1-29, March.
    20. Yang, Dongpo & Liu, Tong & Song, Dafeng & Zhang, Xuanming & Zeng, Xiaohua, 2023. "A real time multi-objective optimization Guided-MPC strategy for power-split hybrid electric bus based on velocity prediction," Energy, Elsevier, vol. 276(C).

    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:286:y:2024:i:c:s0360544223029596. 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.