Control Methods for Energy-Saving Electric Bus Operation

Electric buses (EBs) have the advantages of lower noise, higher driving stability and less emissions, which significantly reduce traffic related air pollutants and bus company operation costs. However, the short driving range is one of its tough problems. This study aims to develop an energy-saving optimization model for a pure electric bus traveling between two continuous stations to reduce energy consumption. Firstly, the state of an electric bus is divided into three steps including time expression, state of motion, and the calculation of energy consumption. Secondly, considering punctuality indicators and comfort of passengers, the optimization model for saving energy is established and solved by Immune Algorithm. Finally, the case study based on a real electric bus route in Meihekou City is conducted to verify the optimization model. The results show that the optimization model can reduce energy consumption effectively no matter whether the traffic light of the intersection is green or red.

• Record URL:
  • https://doi.org/10.1007/978-981-99-3284-9_11
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9789819932832
• Supplemental Notes:
  • © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.
• Corporate Authors:

  Springer Nature Singapore

  ,    
• Authors:
  • Chen, Yuwei
  • Wang, Linhong
• Conference:
  • 6th KES-STS International Symposium (KES-STS 2023)
  • Location: Rome , Italy
  • Date: 2023-6-14 to 2023-6-16
• Publication Date: 2023

Language

• English

Media Info

• Media Type: Web
• Edition: 1
• Features: References;
• Pagination: pp 113-123
• Monograph Title: Smart Transportation Systems 2023: Proceedings of 6th KES-STS International Symposium
• Serial:
  • Smart Innovation, Systems and Technologies
  • Volume: 356
  • Publisher: Springer Singapore
  • ISSN: 2190-3018
  • Serial URL: https://www.springer.com/series/8767

Subject/Index Terms

• TRT Terms: Case studies; Electric buses; Energy consumption; Optimization; Vehicle range
• Geographic Terms: Meihekou (China)
• Subject Areas: Highways; Passenger Transportation; Public Transportation;

Filing Info

• Accession Number: 01941624
• Record Type: Publication
• ISBN: 9789819932832
• Files: TRIS
• Created Date: Dec 31 2024 9:04AM