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ORIGINAL RESEARCH article

Front. Future Transp.
Sec. Transportation Electrification
Volume 5 - 2024 | doi: 10.3389/ffutr.2024.1506866

Optimizing Electric Bus Performance via Predictive Maintenance: A Combined Experimental and Modeling Approach

Provisionally accepted
Hisham Mohamed Eltaher Kamel Ibrahim Hisham Mohamed Eltaher Kamel Ibrahim *Ahmed Mohamed Ahmed Ali Ahmed Mohamed Ahmed Ali Tamer Attia Tamer Attia
  • Military Technical College, Cairo, Egypt

The final, formatted version of the article will be published soon.

    This study explores the optimization of Electric Bus (EB) performance by integrating predictive maintenance strategies, utilizing real-time data and advanced modeling techniques. The methodology involves a comprehensive approach, including the installation of measurement sensors to capture dynamic behavior and energy consumption during actual road trips. By analyzing these data, the research aims to refine vehicle dynamics models and assess battery degradation under various operational conditions. A multi-objective optimization framework is employed to minimize battery degradation while ensuring efficient energy use and maintaining operational requirements. The findings provide valuable insights into battery management strategies, allowing operators to extend the longevity of the battery system and improve overall vehicle performance. The study shows that battery degradation can be reduced by 25% by following an optimum driving behavior which can be achieved in real driving conditions by avoiding aggressive driving whenever possible. This research contributes to the broader goal of promoting sustainable public transportation solutions through the effective use of electric buses.

    Keywords: Predictive maintenance, Electric buses, Energy consumption optimization, Battery degradation, sustainable transportation, industrial informatics

    Received: 09 Oct 2024; Accepted: 16 Dec 2024.

    Copyright: © 2024 Ibrahim, Ali and Attia. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Hisham Mohamed Eltaher Kamel Ibrahim, Military Technical College, Cairo, Egypt

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.