IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i18p5649-d631468.html
   My bibliography  Save this article

Design of Gerotor Pump and Influence on Oil Supply System for Hybrid Transmission

Author

Listed:
  • Mingyu Huang

    (School of Mechanical Engineering, Nantong University, Nantong 226019, China)

  • Chongshi Shi

    (School of Mechanical Engineering, Nantong University, Nantong 226019, China)

  • Yu Zhu

    (School of Mechanical Engineering, Nantong University, Nantong 226019, China)

  • Jiaqiao Zhang

    (School of Mechanical Engineering, Nantong University, Nantong 226019, China)

  • Fubao Zhang

    (School of Mechanical Engineering, Nantong University, Nantong 226019, China)

Abstract

Electric continuously variable transmission (E-CVT) is a vital part of the automobile in order to enhance the power coupling. The oil pump is an important power source component in the hybrid transmission system. Its efficiency exerts a significant impact on the efficiency of the oil supply system and even the hybrid transmission system. In this study, a gerotor pump is designed in line with the requirements of a certain type of hybrid electric vehicle. A Non-dominated Sorting Genetic Algorithm II (NSGA-II) genetic algorithm was employed to optimize the rotor tooth profile. The proportional-derivative (PD) control of the oil supply system was realized to lower the functional error of the oil supply system based on the AMESim simulation platform. In addition, the prototype test was performed to verify the rationality of the design.

Suggested Citation

  • Mingyu Huang & Chongshi Shi & Yu Zhu & Jiaqiao Zhang & Fubao Zhang, 2021. "Design of Gerotor Pump and Influence on Oil Supply System for Hybrid Transmission," Energies, MDPI, vol. 14(18), pages 1-13, September.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:18:p:5649-:d:631468
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/18/5649/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/18/5649/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cheng-Ta Chung & Chien-Hsun Wu & Yi-Hsuan Hung, 2018. "Effects of Electric Circulation on the Energy Efficiency of the Power Split e-CVT Hybrid Systems," Energies, MDPI, vol. 11(9), pages 1-15, September.
    2. Tang, Xiaolin & Zhang, Dejiu & Liu, Teng & Khajepour, Amir & Yu, Haisheng & Wang, Hong, 2019. "Research on the energy control of a dual-motor hybrid vehicle during engine start-stop process," Energy, Elsevier, vol. 166(C), pages 1181-1193.
    3. Mayet, C. & Welles, J. & Bouscayrol, A. & Hofman, T. & Lemaire-Semail, B., 2019. "Influence of a CVT on the fuel consumption of a parallel medium-duty electric hybrid truck," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 158(C), pages 120-129.
    4. Sachin Chaturvedi, 2016. "The Development Compact," International Studies, , vol. 53(1), pages 15-43, January.
    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. Nien-Che Yang & Yan-Lin Zeng & Tsai-Hsiang Chen, 2021. "Assessment of Voltage Imbalance Improvement and Power Loss Reduction in Residential Distribution Systems in Taiwan," Mathematics, MDPI, vol. 9(24), pages 1-17, December.

    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. Woong Lee & Tacksu Kim & Jongryeol Jeong & Jaewoo Chung & Deokjin Kim & Beomho Lee & Namwook Kim, 2020. "Control Analysis of a Real-World P2 Hybrid Electric Vehicle Based on Test Data," Energies, MDPI, vol. 13(16), pages 1-15, August.
    2. Bảo-Huy Nguyễn & João Pedro F. Trovão & Ronan German & Alain Bouscayrol, 2020. "Real-Time Energy Management of Parallel Hybrid Electric Vehicles Using Linear Quadratic Regulation," Energies, MDPI, vol. 13(21), pages 1-19, October.
    3. Du, Guodong & Zou, Yuan & Zhang, Xudong & Kong, Zehui & Wu, Jinlong & He, Dingbo, 2019. "Intelligent energy management for hybrid electric tracked vehicles using online reinforcement learning," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    4. Ziqi Zhang & Wanyong Li & Junye Shi & Jiangping Chen, 2016. "A Study on Electric Vehicle Heat Pump Systems in Cold Climates," Energies, MDPI, vol. 9(11), pages 1-11, October.
    5. Yang Yang & Qiang He & Yongzheng Chen & Chunyun Fu, 2020. "Efficiency Optimization and Control Strategy of Regenerative Braking System with Dual Motor," Energies, MDPI, vol. 13(3), pages 1-21, February.
    6. Shu, Gequn & Wang, Rui & Tian, Hua & Wang, Xuan & Li, Xiaoya & Cai, Jinwen & Xu, Zhiqiang, 2020. "Dynamic performance of the transcritical power cycle using CO2-based binary zeotropic mixtures for truck engine waste heat recovery," Energy, Elsevier, vol. 194(C).
    7. Jia, Jinda & Shan, Xiaobiao & Upadrashta, Deepesh & Xie, Tao & Yang, Yaowen & Song, Rujun, 2020. "An asymmetric bending-torsional piezoelectric energy harvester at low wind speed," Energy, Elsevier, vol. 198(C).
    8. Andrzej Szałek & Ireneusz Pielecha, 2021. "The Influence of Engine Downsizing in Hybrid Powertrains on the Energy Flow Indicators under Actual Traffic Conditions," Energies, MDPI, vol. 14(10), pages 1-12, May.
    9. Chen, Chien-fei & Zarazua de Rubens, Gerardo & Noel, Lance & Kester, Johannes & Sovacool, Benjamin K., 2020. "Assessing the socio-demographic, technical, economic and behavioral factors of Nordic electric vehicle adoption and the influence of vehicle-to-grid preferences," Renewable and Sustainable Energy Reviews, Elsevier, vol. 121(C).
    10. Tian, Xiang & Cai, Yingfeng & Sun, Xiaodong & Zhu, Zhen & Xu, Yiqiang, 2019. "An adaptive ECMS with driving style recognition for energy optimization of parallel hybrid electric buses," Energy, Elsevier, vol. 189(C).
    11. Lin, Xinyou & Li, Yalong & Zhang, Guangji, 2022. "Bi-objective optimization strategy of energy consumption and shift shock based driving cycle-aware bias coefficients for a novel dual-motor electric vehicle," Energy, Elsevier, vol. 249(C).
    12. 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).
    13. Hu, Jianjun & Guo, Qi & Sun, Zhicheng & Yang, Dianzhao, 2023. "Study on low-frequency torsional vibration suppression of integrated electric drive system considering nonlinear factors," Energy, Elsevier, vol. 284(C).
    14. Xing, Yazhou & Zhang, Su & Wen, Peng & Shao, Limin & Rouyendegh, Babak Daneshvar, 2020. "Load prediction in short-term implementing the multivariate quantile regression," Energy, Elsevier, vol. 196(C).
    15. Hang Zhao & Chunhua Liu & Zaixin Song & Jincheng Yu, 2019. "Analytical Modeling and Comparison of Two Consequent-Pole Magnetic-Geared Machines for Hybrid Electric Vehicles," Energies, MDPI, vol. 12(10), pages 1-25, May.
    16. Qin, Yechen & Tang, Xiaolin & Jia, Tong & Duan, Ziwen & Zhang, Jieming & Li, Yinong & Zheng, Ling, 2020. "Noise and vibration suppression in hybrid electric vehicles: State of the art and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 124(C).
    17. Liu, Teng & Tan, Wenhao & Tang, Xiaolin & Zhang, Jinwei & Xing, Yang & Cao, Dongpu, 2021. "Driving conditions-driven energy management strategies for hybrid electric vehicles: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    18. Fangwu Ma & Hongbin Yin & Lulu Wei & Guangdong Tian & Hui Gao, 2018. "Design and Optimization of IPM Motor Considering Flux Weakening Capability and Vibration for Electric Vehicle Applications," Sustainability, MDPI, vol. 10(5), pages 1-15, May.
    19. Xiangyang Xu & Kun Guo & Xuewu Liu & Hongzhong Qi & Peng Dong & Shuhan Wang & Wei Guo, 2022. "Optimal Design of Power-On Downshift Control of Series-Parallel Hybrid Transmission Based on Motor Active Speed Regulation," Energies, MDPI, vol. 15(17), pages 1-18, August.
    20. Hu, Xiaosong & Zhang, Xiaoqian & Tang, Xiaolin & Lin, Xianke, 2020. "Model predictive control of hybrid electric vehicles for fuel economy, emission reductions, and inter-vehicle safety in car-following scenarios," Energy, Elsevier, vol. 196(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:gam:jeners:v:14:y:2021:i:18:p:5649-:d:631468. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.