IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i8p4549-d539357.html
   My bibliography  Save this article

On the Investigation of Energy Efficient Torque Distribution Strategies through a Comprehensive Powertrain Model

Author

Listed:
  • Sara Salamone

    (Department of Energy, Systems, Territory and Constructions Engineering, University of Pisa, 56122 Pisa, Italy
    Department of Engineering and Mathematics, Sheffield Hallam University, Sheffield S1 1WB, UK)

  • Basilio Lenzo

    (Department of Engineering and Mathematics, Sheffield Hallam University, Sheffield S1 1WB, UK
    Department of Industrial Engineering, University of Padua, 35131 Padova, Italy)

  • Giovanni Lutzemberger

    (Department of Energy, Systems, Territory and Constructions Engineering, University of Pisa, 56122 Pisa, Italy)

  • Francesco Bucchi

    (Department of Civil and Industrial Engineering, University of Pisa, 56122 Pisa, Italy)

  • Luca Sani

    (Department of Energy, Systems, Territory and Constructions Engineering, University of Pisa, 56122 Pisa, Italy)

Abstract

In electric vehicles with multiple motors, the torque at each wheel can be controlled independently, offering significant opportunities for enhancing vehicle dynamics behaviour and system efficiency. This paper investigates energy efficient torque distribution strategies for improving the operational efficiency of electric vehicles with multiple motors. The proposed strategies are based on the minimisation of power losses, considering the powertrain efficiency characteristics, and are easily implementable in real-time. A longitudinal dynamics vehicle model is developed in Simulink/Simscape environment, including energy models for the electrical machines, the converter, and the energy storage system. The energy efficient torque distribution strategies are compared with simple distribution schemes under different standardised driving cycles. The effect of the different strategies on the powertrain elements, such as the electric machine and the energy storage system, are analysed. Simulation results show that the optimal torque distribution strategies provide a reduction in energy consumption of up to 5.5% for the case-study vehicle compared to simple distribution strategies, also benefiting the battery state of charge.

Suggested Citation

  • Sara Salamone & Basilio Lenzo & Giovanni Lutzemberger & Francesco Bucchi & Luca Sani, 2021. "On the Investigation of Energy Efficient Torque Distribution Strategies through a Comprehensive Powertrain Model," Sustainability, MDPI, vol. 13(8), pages 1-20, April.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:8:p:4549-:d:539357
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/8/4549/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/8/4549/
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Wen Sun & Yang Chen & Junnian Wang & Xiangyu Wang & Lili Liu, 2022. "Research on TVD Control of Cornering Energy Consumption for Distributed Drive Electric Vehicles Based on PMP," Energies, MDPI, vol. 15(7), pages 1-19, April.
    2. Stefan Tabacu & Dragos Popa, 2023. "Backward-Facing Analysis for the Preliminary Estimation of the Vehicle Fuel Consumption," Sustainability, MDPI, vol. 15(6), pages 1-19, 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:jsusta:v:13:y:2021:i:8:p:4549-:d:539357. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.