Optimizing electric bus performance via predictive maintenance: a combined experimental and modeling approach
IntroductionThis study explores the optimization of Electric Bus (EB) performance by integrating predictive maintenance strategies, utilizing real-time data and advanced modeling techniques.MethodsThe study involves installing measurement sensors to capture dynamic behavior and energy consumption du...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Future Transportation |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/ffutr.2024.1506866/full |
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| author | Hisham Ibrahim Ahmed M. Ali Tamer Attia |
| author_facet | Hisham Ibrahim Ahmed M. Ali Tamer Attia |
| author_sort | Hisham Ibrahim |
| collection | DOAJ |
| description | IntroductionThis study explores the optimization of Electric Bus (EB) performance by integrating predictive maintenance strategies, utilizing real-time data and advanced modeling techniques.MethodsThe study involves installing measurement sensors to capture dynamic behavior and energy consumption during actual road trips, analyzing the collected data to refine vehicle dynamics models and assess battery degradation under various operational conditions, and employing a multi-objective optimization framework to minimize battery degradation while ensuring efficient energy use and maintaining operational requirements.Results and DiscussionThe study offers valuable insights into battery management strategies, revealing that battery degradation can be reduced by 25% through optimum driving behavior, which can be achieved in real driving conditions by avoiding aggressive driving. This research supports the broader goal of promoting sustainable public transportation solutions through the effective use of electric buses, enabling operators to extend battery longevity and enhance overall vehicle performance by implementing the identified strategies. |
| format | Article |
| id | doaj-art-9e2a8fd23d2f4ad29d80bad557fe7cf3 |
| institution | Kabale University |
| issn | 2673-5210 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Future Transportation |
| spelling | doaj-art-9e2a8fd23d2f4ad29d80bad557fe7cf32025-01-07T06:48:38ZengFrontiers Media S.A.Frontiers in Future Transportation2673-52102025-01-01510.3389/ffutr.2024.15068661506866Optimizing electric bus performance via predictive maintenance: a combined experimental and modeling approachHisham Ibrahim0Ahmed M. Ali1Tamer Attia2Automotive Engineering Department, Military Technical College, Cairo, EgyptAutomotive Engineering Department, Military Technical College, Cairo, EgyptMechatronics Engineering Department, Military Technical College, Cairo, EgyptIntroductionThis study explores the optimization of Electric Bus (EB) performance by integrating predictive maintenance strategies, utilizing real-time data and advanced modeling techniques.MethodsThe study involves installing measurement sensors to capture dynamic behavior and energy consumption during actual road trips, analyzing the collected data to refine vehicle dynamics models and assess battery degradation under various operational conditions, and employing a multi-objective optimization framework to minimize battery degradation while ensuring efficient energy use and maintaining operational requirements.Results and DiscussionThe study offers valuable insights into battery management strategies, revealing that battery degradation can be reduced by 25% through optimum driving behavior, which can be achieved in real driving conditions by avoiding aggressive driving. This research supports the broader goal of promoting sustainable public transportation solutions through the effective use of electric buses, enabling operators to extend battery longevity and enhance overall vehicle performance by implementing the identified strategies.https://www.frontiersin.org/articles/10.3389/ffutr.2024.1506866/fullpredictive maintenanceelectric busesenergy consumption optimizationbattery degradationsustainable transportationindustrial informatics |
| spellingShingle | Hisham Ibrahim Ahmed M. Ali Tamer Attia Optimizing electric bus performance via predictive maintenance: a combined experimental and modeling approach Frontiers in Future Transportation predictive maintenance electric buses energy consumption optimization battery degradation sustainable transportation industrial informatics |
| title | Optimizing electric bus performance via predictive maintenance: a combined experimental and modeling approach |
| title_full | Optimizing electric bus performance via predictive maintenance: a combined experimental and modeling approach |
| title_fullStr | Optimizing electric bus performance via predictive maintenance: a combined experimental and modeling approach |
| title_full_unstemmed | Optimizing electric bus performance via predictive maintenance: a combined experimental and modeling approach |
| title_short | Optimizing electric bus performance via predictive maintenance: a combined experimental and modeling approach |
| title_sort | optimizing electric bus performance via predictive maintenance a combined experimental and modeling approach |
| topic | predictive maintenance electric buses energy consumption optimization battery degradation sustainable transportation industrial informatics |
| url | https://www.frontiersin.org/articles/10.3389/ffutr.2024.1506866/full |
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