Optimisation of control strategy of a range-extended electric bus

The aim of the present study was to optimise the cycle fuel consumption and energy consumption of a range-extended electric bus. The optimal variables included the final drive ratio of the main decelerator, the upper and lower limits of the power unit and the speed threshold. NSGA-II was used as the optimisation algorithm. The optimisation results showed that the overall economy behaviour of the bus was improved, while climbing performance increased by 43.77%. The stability of dynamic performances was acceptable and only slight fluctuations were found in the maximum speed and the acceleration duration from 0 km/h to 50 km/h. Although the power consumption increased by 0.6%, per 100 km fuel consumption decreased by 32.98%. The results showed that the optimisation strategies, optimisation objectives and optimisation variables applied in this paper were reasonable and effective.

• Record URL:
  • https://doi.org/10.1504/IJEHV.2019.098705
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/17514088
• Supplemental Notes:
  • Copyright © 2018 Inderscience Enterprises Ltd.
• Authors:
  • Zha, Yunfei
  • Song, Jinlong
  • Zhang, Qingyong
  • Liu, Guoqing
  • Guo, Ronghui
• Publication Date: 2019

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 1-11
• Serial:
  • International Journal of Electric and Hybrid Vehicles
  • Volume: 11
  • Issue Number: 1
  • Publisher: Inderscience Enterprises Limited
  • ISSN: 1751-4088
  • EISSN: 1751-4096
  • Serial URL: http://www.inderscience.com/jhome.php?jcode=ijehv

Subject/Index Terms

• TRT Terms: Control systems; Electric buses; Energy consumption; Genetic algorithms; Optimization; Simulation; Vehicle range
• Subject Areas: Energy; Public Transportation; Vehicles and Equipment;

Filing Info

• Accession Number: 01706806
• Record Type: Publication
• Files: TRIS
• Created Date: May 29 2019 5:07PM