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Gear Ratio Optimization of a Multi-Speed Transmission for Electric Dump Truck Operating on the Structure Route

Author

Listed:
  • Senqi Tan

    (School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China)

  • Jue Yang

    (School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China)

  • Xinxin Zhao

    (School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China)

  • Tingting Hai

    (School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China)

  • Wenming Zhang

    (School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China)

Abstract

Research demonstrated that the application of a multi-speed transmission could improve the dynamic and economic performance of electric vehicles. This paper deals with a novel multi-speed transmission for the electric dump truck (EDT) operating on the structure route (SR), which has a definite starting point and end point without complex traffic conditions. To optimize the gear ratio and shift schedule to reduce energy consumption in such conditions, the mathematical model of the transmission and the dynamic model of the EDT are initially required. Following this, the shift schedule is presented according to the motor efficiency map. After that, the gear ratio optimization is carried out by a particle swarm optimization (PSO) algorithm. Moreover, the proposed EDT is compared with an EDT with a single-speed transmission. The simulation results show that the energy consumption is reduced by 6.1%.

Suggested Citation

  • Senqi Tan & Jue Yang & Xinxin Zhao & Tingting Hai & Wenming Zhang, 2018. "Gear Ratio Optimization of a Multi-Speed Transmission for Electric Dump Truck Operating on the Structure Route," Energies, MDPI, vol. 11(6), pages 1-17, May.
  • Handle: RePEc:gam:jeners:v:11:y:2018:i:6:p:1324-:d:148547
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    References listed on IDEAS

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    Cited by:

    1. Milla Vehviläinen & Pekka Rahkola & Janne Keränen & Jenni Pippuri-Mäkeläinen & Marko Paakkinen & Jukka Pellinen & Kari Tammi & Anouar Belahcen, 2022. "Simulation-Based Comparative Assessment of a Multi-Speed Transmission for an E-Retrofitted Heavy-Duty Truck," Energies, MDPI, vol. 15(7), pages 1-29, March.
    2. Kwon, Kihan & Lee, Jung-Hwan & Lim, Sang-Kil, 2023. "Optimization of multi-speed transmission for electric vehicles based on electrical and mechanical efficiency analysis," Applied Energy, Elsevier, vol. 342(C).
    3. Peng Wu & Penghui Qiang & Tao Pan & Huaiquan Zang, 2022. "Multi-Objective Optimization of Gear Ratios of a Seamless Three-Speed Automated Manual Transmission for Electric Vehicles Considering Shift Performance," Energies, MDPI, vol. 15(11), pages 1-27, June.
    4. Md Ragib Ahssan & Mehran Ektesabi & Saman Gorji, 2023. "Evaluation of a Three-Parameter Gearshift Strategy for a Two-Speed Transmission System in Electric Vehicles," Energies, MDPI, vol. 16(5), pages 1-28, March.
    5. Antti Ritari & Jari Vepsäläinen & Klaus Kivekäs & Kari Tammi & Heikki Laitinen, 2020. "Energy Consumption and Lifecycle Cost Analysis of Electric City Buses with Multispeed Gearboxes," Energies, MDPI, vol. 13(8), pages 1-21, April.
    6. Md Ragib Ahssan & Mehran Ektesabi & Saman Gorji, 2020. "Gear Ratio Optimization along with a Novel Gearshift Scheduling Strategy for a Two-Speed Transmission System in Electric Vehicle," Energies, MDPI, vol. 13(19), pages 1-24, September.
    7. Kwon, Kihan & Seo, Minsik & Min, Seungjae, 2020. "Efficient multi-objective optimization of gear ratios and motor torque distribution for electric vehicles with two-motor and two-speed powertrain system," Applied Energy, Elsevier, vol. 259(C).
    8. Kwon, Kihan & Jo, Junhyeong & Min, Seungjae, 2021. "Multi-objective gear ratio and shifting pattern optimization of multi-speed transmissions for electric vehicles considering variable transmission efficiency," Energy, Elsevier, vol. 236(C).
    9. Huang, Xiaohui & Huang, Qi & Cao, Huajun & Yan, Wanbin & Cao, Le & Zhang, Qiongzhi, 2023. "Optimal design for improving operation performance of electric construction machinery collaborative system: Method and application," Energy, Elsevier, vol. 263(PA).

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