IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i7p2641-d786791.html
   My bibliography  Save this article

Research on TVD Control of Cornering Energy Consumption for Distributed Drive Electric Vehicles Based on PMP

Author

Listed:
  • Wen Sun

    (College of Automotive Engineering, Changzhou Institute of Technology, Changzhou 213001, China
    School of Mechanical and Aerospace Engineering, Queen’s University Belfast, Belfast BT7 1NN, UK)

  • Yang Chen

    (College of Automotive Engineering, Changzhou Institute of Technology, Changzhou 213001, China)

  • Junnian Wang

    (State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China)

  • Xiangyu Wang

    (College of Automotive Engineering, Changzhou Institute of Technology, Changzhou 213001, China)

  • Lili Liu

    (College of Automotive Engineering, Changzhou Institute of Technology, Changzhou 213001, China)

Abstract

This paper aims to study the torque optimization control of distributed drive electric vehicles in the cornering process and reduce the cornering energy consumption. The main energy consumption of the vehicle in the cornering process is analyzed clearly based on the 7-DOF vehicle dynamics model. The torque vectoring distribution (TVD) of a distributed drive electric vehicle in the process of turning was studied on the basis of the Pontryagin Minimum Principle (PMP). The Beetle Antenna Search–Particle Swarm Optimization (BAS-PSO) algorithm was used to optimize the torque distribution coefficient offline, and the algorithm was improved to improve the operation speed. Based on the vehicle dynamics characteristics, the table of torque distribution coefficient of minimum turning energy consumption and the optimal energy-saving degree of TVD control in different bending conditions were worked out.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:7:p:2641-:d:786791
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/7/2641/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/7/2641/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mohammed Kharrich & Salah Kamel & Mohamed H. Hassan & Salah K. ElSayed & Ibrahim B. M. Taha, 2021. "An Improved Heap-Based Optimizer for Optimal Design of a Hybrid Microgrid Considering Reliability and Availability Constraints," Sustainability, MDPI, vol. 13(18), pages 1-25, September.
    2. Xudong Zhang & Dietmar Göhlich, 2017. "Integrated Traction Control Strategy for Distributed Drive Electric Vehicles with Improvement of Economy and Longitudinal Driving Stability," Energies, MDPI, vol. 10(1), pages 1-18, January.
    3. Xiaogang Wu & Dianyu Zheng & Tianze Wang & Jiuyu Du, 2019. "Torque Optimal Allocation Strategy of All-Wheel Drive Electric Vehicle Based on Difference of Efficiency Characteristics between Axis Motors," Energies, MDPI, vol. 12(6), pages 1-16, March.
    4. Qinghua Meng & Tingting Zhao & Chunjiang Qian & Zong-yao Sun & Panpan Ge, 2018. "Integrated stability control of AFS and DYC for electric vehicle based on non-smooth control," International Journal of Systems Science, Taylor & Francis Journals, vol. 49(7), pages 1518-1528, May.
    5. 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.
    6. Wen Sun & Juncai Rong & Junnian Wang & Wentong Zhang & Zidong Zhou, 2021. "Research on Optimal Torque Control of Turning Energy Consumption for EVs with Motorized Wheels," Energies, MDPI, vol. 14(21), pages 1-15, October.
    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. El-Sattar, Hoda Abd & Kamel, Salah & Hassan, Mohamed H. & Jurado, Francisco, 2022. "An effective optimization strategy for design of standalone hybrid renewable energy systems," Energy, Elsevier, vol. 260(C).
    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. Fang, Liandi & Ma, Li & Ding, Shihong & Zhao, Dean, 2019. "Finite-time stabilization for a class of high-order stochastic nonlinear systems with an output constraint," Applied Mathematics and Computation, Elsevier, vol. 358(C), pages 63-79.
    4. 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.
    5. Szilárd Czibere & Ádám Domina & Ádám Bárdos & Zsolt Szalay, 2021. "Model Predictive Controller Design for Vehicle Motion Control at Handling Limits in Multiple Equilibria on Varying Road Surfaces," Energies, MDPI, vol. 14(20), pages 1-17, October.
    6. Xingxing Wang & Peilin Ye & Yujie Zhang & Hongjun Ni & Yelin Deng & Shuaishuai Lv & Yinnan Yuan & Yu Zhu, 2022. "Parameter Optimization Method for Power System of Medium-Sized Bus Based on Orthogonal Test," Energies, MDPI, vol. 15(19), pages 1-26, October.
    7. Miranda, Matheus H.R. & Silva, Fabrício L. & Lourenço, Maria A.M. & Eckert, Jony J. & Silva, Ludmila C.A., 2022. "Electric vehicle powertrain and fuzzy controller optimization using a planar dynamics simulation based on a real-world driving cycle," Energy, Elsevier, vol. 238(PC).
    8. 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.
    9. Hafiz Muhammad Abdullah & Sanghyoun Park & Kwanjae Seong & Sangyong Lee, 2023. "Hybrid Renewable Energy System Design: A Machine Learning Approach for Optimal Sizing with Net-Metering Costs," Sustainability, MDPI, vol. 15(11), pages 1-37, May.
    10. Du, Haibo & Yu, Bo & Wei, Jiajia & Zhang, Jun & Wu, Di & Tao, Weiqing, 2020. "Attitude trajectory planning and attitude control for quad-rotor aircraft based on finite-time control technique," Applied Mathematics and Computation, Elsevier, vol. 386(C).
    11. Li Zhai & Rufei Hou & Tianmin Sun & Steven Kavuma, 2018. "Continuous Steering Stability Control Based on an Energy-Saving Torque Distribution Algorithm for a Four in-Wheel-Motor Independent-Drive Electric Vehicle," Energies, MDPI, vol. 11(2), pages 1-19, February.
    12. Laiqing Yan & Yulin Zhao & Tailin Xue & Ning Ma & Zhenwen Li & Zutai Yan, 2022. "Two-Layer Optimal Operation of AC–DC Hybrid Microgrid Considering Carbon Emissions Trading in Multiple Scenarios," Sustainability, MDPI, vol. 14(17), pages 1-20, 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:gam:jeners:v:15:y:2022:i:7:p:2641-:d:786791. 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.