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Sizing and optimization process of hybrid electric propulsion system for heavy-duty vehicle based on Gaussian process modeling considering traction motor characteristics

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  • Kim, Dong-Min
  • Lee, Soo-Gyung
  • Kim, Dae-Kee
  • Park, Min-Ro
  • Lim, Myung-Seop

Abstract

This paper suggests a sizing and optimization scheme of a hybrid electric propulsion system for a heavy-duty vehicle. The considered propulsion system consists of four in-wheel traction motors with a planetary gear, and the power source is configured with a battery and engine–generator set. To optimize fuel economy by powertrain sizing, the vehicle design process and vehicle simulation were constructed. Optimization was then performed using Gaussian process modeling (GPM). During the optimization, the variation of the gross weight of the propulsion system was considered. In addition, the change in the efficiency map of the traction motor was precisely reflected. The sampling points for GPM were determined from the Optimal Latin hypercube design. Subsequently, the fuel economy surrogate model was generated via the GPM. Optimization was then performed using the steepest gradient descent algorithm. Finally, the maximized fuel economy model was verified using a vehicle simulation.

Suggested Citation

  • Kim, Dong-Min & Lee, Soo-Gyung & Kim, Dae-Kee & Park, Min-Ro & Lim, Myung-Seop, 2022. "Sizing and optimization process of hybrid electric propulsion system for heavy-duty vehicle based on Gaussian process modeling considering traction motor characteristics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    • Handle: RePEc:eee:rensus:v:161:y:2022:i:c:s1364032122002052
    DOI: 10.1016/j.rser.2022.112286
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    Cited by:

    1. 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).
    2. Kim, Dong-Min & Chin, Jun-Woo & Kim, Jae-Hyun & Lim, Myung-Seop, 2023. "Analytical temperature estimation process of the air supply system of the proton exchange membrane fuel cell stack in fuel cell electric vehicles," Energy, Elsevier, vol. 283(C).
    3. Ugnė Koletė Medževeprytė & Rolandas Makaras & Vaidas Lukoševičius & Sigitas Kilikevičius, 2023. "Application and Efficiency of a Series-Hybrid Drive for Agricultural Use Based on a Modified Version of the World Harmonized Transient Cycle," Energies, MDPI, vol. 16(14), pages 1-16, July.
    4. Ju, Fei & Du, Wei & Zhuang, Weichao & Li, Bingbing & Wang, Tao & Wang, Weiwei & Ma, Huijie, 2024. "Profit-effective component sizing for electric delivery trucks with dual motor coupling powertrain," Energy, Elsevier, vol. 296(C).
    5. Navid Balazadeh Meresht & Sina Moghadasi & Sandeep Munshi & Mahdi Shahbakhti & Gordon McTaggart-Cowan, 2023. "Advances in Vehicle and Powertrain Efficiency of Long-Haul Commercial Vehicles: A Review," Energies, MDPI, vol. 16(19), pages 1-37, September.

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