Methodology for Determining the Minimum Capacity of Traction Batteries of Electric Buses Based on the Operational Characteristics of Routes Using Artificial Intelligence Tools

• Published in: 2023 Systems of Signals Generating and Processing in the Field of on Board Communications pp. 1 - 6
• Main Authors: Moroz, D. G., Zhukov, A. I., Makurina, V. M., Akopov, Ph. V., Kudryshov, M. A.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 14-03-2023
• Subjects: Batteries; Charging stations; decision tree; electric bus with ultrafast charging; Organizations; Power demand; Production; traction batteries; Transportation; Turning
• ISSN: 2768-0118
• DOI: 10.1109/IEEECONF56737.2023.10092121

The authors have developed a method for determining the minimum capacity of traction batteries of electric buses with ultrafast charging for operation on regular routes. The calculation is based on a cluster analysis of the general set of regular routes of an operational enterprise, as well as an artificial intelligence tool (decision tree) developed and trained by the authors to predict battery power consumption. The article presents the results of testing the developed methodology for determining the minimum capacity of traction batteries of electric buses for operation on the route network. The results obtained can be useful not only for operational enterprises, but also for manufacturers of electric buses with ultrafast charging to optimize their design in terms of completing batteries of the required capacity for various customers.