Component Sizing of Parallel Hybrid Electric Vehicle Using Optimal Search Algorithm

In designing a parallel hybrid electric vehicle, it is essential to select the optimal capacity of power sources and the optimal gear ratio of the torque coupler. The capacity of the power sources and the gear ratio of the torque coupler should be optimized simultaneously. However, since this process is excessively time-consuming, previous studies have selected the gear ratio of the torque coupler and then selected the capacity of power source. However, this approach cannot guarantee global optimization. In this paper, a feasible region is defined to satisfy the required performance of vehicle such as maximum speed, hill-climbing. and feasible points are selected inside the feasible region. In the conventional technique, the global optimal solution is obtained by simulating all feasible points. In the optimization technique, optimal points are simulated within the feasible region using several optimal search algorithms, such as the golden section search algorithm and the hill-climbing search algorithm. And using these algorithms, the number of simulations is reduced and the capacity of the power source and the gear ratio of the torque coupler are optimized simultaneously. Finally, the validity of the component sizing results is verified by comparing the global optimal solution obtained by applying the conventional technique with the solution obtained by applying the proposed optimization technique.

• Record URL:
  • https://doi.org/10.1007/s12239-018-0071-7
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/12299138
• Supplemental Notes:
  • Copyright © 2018, The Korean Society of Automotive Engineers and Springer-Verlag Berlin Heidelberg.
• Authors:
  • Kim, Jinseong
  • Kim, Gisu
  • Park, Yeong-il
• Publication Date: 2018-8

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: pp 743-749
• Serial:
  • International Journal of Automotive Technology
  • Volume: 19
  • Issue Number: 4
  • Publisher: Korean Society of Automotive Engineers
  • ISSN: 1229-9138
  • EISSN: 1976-3832
  • Serial URL: http://link.springer.com/journal/12239

Subject/Index Terms

• TRT Terms: Algorithms; Couplers; Electric power supply; Electric vehicles; Gears; Hybrid vehicles; Optimization; Torque
• Subject Areas: Energy; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01679115
• Record Type: Publication
• Files: TRIS
• Created Date: Aug 27 2018 2:05PM