IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v10y2017i12p2157-d123260.html
   My bibliography  Save this article

Design and Analysis of a New Torque Vectoring System with a Ravigneaux Gearset for Vehicle Applications

Author

Listed:
  • Yu-Fan Chen

    (Department of Mechanical Engineering, National Taiwan University, Taipei 10617, Taiwan)

  • I-Ming Chen

    (Department of Mechanical Engineering, National Taiwan University, Taipei 10617, Taiwan)

  • Joshua Chang

    (Department of Mechanical Engineering, National Taiwan University, Taipei 10617, Taiwan)

  • Tyng Liu

    (Department of Mechanical Engineering, National Taiwan University, Taipei 10617, Taiwan)

Abstract

The purpose of this research is to develop a new torque vectoring differential (TVD) for vehicle applications and investigate its effect on vehicle dynamic control. TVD is a technology that is able to distribute the engine torque to the left and right driving wheels at different ratios so that the yaw motion control can be realized. Attention has been paid to this technology in recent years because of its potential to improve the vehicle performance and driving safety. In this study, a new TVD design with a Ravigneaux gearset was developed. This new design is able to use only one pair of gearsets to generate two different speed ratios, and the weight and volume of the system can be reduced. To execute the research, current TVD designs were analyzed and their design principles were clarified. Next, a new TVD design with Ravigneaux gearset was proposed. Then the connecting manner and the gear ratio of the Ravigneaux gearset were discussed. The dynamic equation of the system was then derived and the operation of the system was simulated in a MATLAB program. Further simulation was performed with a vehicle dynamic model in SimulationX to demonstrate the effect of the new system. The results of this study show the potential of building a new TVD with a Ravigneaux gearset and can be helpful for further system development.

Suggested Citation

  • Yu-Fan Chen & I-Ming Chen & Joshua Chang & Tyng Liu, 2017. "Design and Analysis of a New Torque Vectoring System with a Ravigneaux Gearset for Vehicle Applications," Energies, MDPI, vol. 10(12), pages 1-16, December.
  • Handle: RePEc:gam:jeners:v:10:y:2017:i:12:p:2157-:d:123260
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/10/12/2157/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/10/12/2157/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cheng Lin & Zhifeng Xu, 2015. "Wheel Torque Distribution of Four-Wheel-Drive Electric Vehicles Based on Multi-Objective Optimization," Energies, MDPI, vol. 8(5), pages 1-17, April.
    2. Yong Zhang & Xuerui Ma & Chengliang Yin & Shifei Yuan, 2016. "Development and Simulation of a Type of Four-Shaft ECVT for a Hybrid Electric Vehicle," Energies, MDPI, vol. 9(3), pages 1-20, February.
    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. Jinhong Sun & Xiangdang Xue & Ka Wai Eric Cheng, 2019. "Fuzzy Sliding Mode Wheel Slip Ratio Control for Smart Vehicle Anti-Lock Braking System," Energies, MDPI, vol. 12(13), pages 1-22, June.

    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. Milan Perkušić & Damir Jelaska & Srdjan Podrug & Vjekoslav Tvrdić, 2017. "On the Feasibility of Independently Controllable Transmissions," Energies, MDPI, vol. 10(11), pages 1-13, November.
    2. Rufei Hou & Li Zhai & Tianmin Sun, 2018. "Steering Stability Control for a Four Hub-Motor Independent-Drive Electric Vehicle with Varying Adhesion Coefficient," Energies, MDPI, vol. 11(9), pages 1-17, September.
    3. Zhaolong Zhang & Yuan Zou & Xudong Zhang & Zhifeng Xu & Han Wang, 2020. "Driver Model Based on Optimized Calculation and Functional Safety Simulation," Energies, MDPI, vol. 13(24), pages 1-12, December.
    4. Józef Drewniak & Tomasz Kądziołka & Jacek Rysiński & Konrad Stańco, 2023. "Power Flow in Coupled Three-Row Series-Parallel Planetary Gear System, Part I: Without Power Losses," Energies, MDPI, vol. 16(21), pages 1-37, October.
    5. Junnian Wang & Siwen Lv & Nana Sun & Shoulin Gao & Wen Sun & Zidong Zhou, 2021. "Torque Vectoring Control of RWID Electric Vehicle for Reducing Driving-Wheel Slippage Energy Dissipation in Cornering," Energies, MDPI, vol. 14(23), pages 1-16, December.
    6. Xuerui Ma & Yong Zhang & Chengliang Yin & Shifei Yuan, 2017. "Multi-Objective Optimization Considering Battery Degradation for a Multi-Mode Power-Split Electric Vehicle," Energies, MDPI, vol. 10(7), pages 1-16, July.
    7. Jiongjiong Cai & Peng Ke & Xiao Qu & Zihui Wang, 2022. "Research on the Design of Auxiliary Generator for Enthalpy Reduction and Steady Speed Scroll Expander," Energies, MDPI, vol. 15(9), pages 1-17, April.
    8. Thanh Vo-Duy & Minh C. Ta & Bảo-Huy Nguyễn & João Pedro F. Trovão, 2020. "Experimental Platform for Evaluation of On-Board Real-Time Motion Controllers for Electric Vehicles," Energies, MDPI, vol. 13(23), pages 1-28, December.
    9. Chuanjia Han & Bo Yang & Tao Bao & Tao Yu & Xiaoshun Zhang, 2017. "Bacteria Foraging Reinforcement Learning for Risk-Based Economic Dispatch via Knowledge Transfer," Energies, MDPI, vol. 10(5), pages 1-24, May.
    10. Kritika Deepak & Mohamed Amine Frikha & Yassine Benômar & Mohamed El Baghdadi & Omar Hegazy, 2023. "In-Wheel Motor Drive Systems for Electric Vehicles: State of the Art, Challenges, and Future Trends," Energies, MDPI, vol. 16(7), pages 1-31, March.

    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:10:y:2017:i:12:p:2157-:d:123260. 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.