IoT Solutions for Real-Time Monitoring and Management of Electric Vehicle Fleets
Keywords:
Internet of Things (IoT), Electric Vehicles (EV), Fleet Management, Real-Time Monitoring, Predictive Maintenance, Data Analytics, Energy Optimization, Vehicle Health Monitoring, Driver Behavior Monitoring.Abstract
The adoption of Internet of Things (IoT) technology in electric vehicle (EV) fleet management offers transformative potential for enhancing operational efficiency, reducing costs, and improving sustainability. This paper presents a comprehensive analysis of IoT solutions for real-time monitoring and management of EV fleets. Key components of an IoT architecture tailored for EV fleet management are outlined, encompassing sensors, communication networks, data storage, and analytics. Real-time monitoring techniques, including data collection, transmission, and visualization, are discussed in detail. Management solutions enabled by IoT, such as predictive maintenance, energy optimization, and driver behavior monitoring, are also explored. Through case studies and applications, the practical implementation and benefits of IoT in EV fleet management are demonstrated. Results from implemented IoT solutions indicate significant improvements in fleet utilization, maintenance efficiency, and overall cost savings. The discussion highlights the implications of these findings, compares them with existing literature, and addresses the challenges and limitations encountered. Finally, the paper identifies future trends and research opportunities in the field of IoT-enabled EV fleet management.
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