Smart Fleet Management for Electric Vehicles

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Author(s): Yojna Arora (Sharda University, India), Adnan Parwez (Sharda University, India)and Ashima Narang (Amity University, Gurgaon, India)
Copyright: 2025
Pages: 28
Source title: Modern Computing Technologies for EV Efficiency and Sustainable Energy Integration
Source Author(s)/Editor(s): George Fotis (Aarhus University, Denmark), Sandeep Gupta (Graphic Era University, India), Tarun Varshney (Sharda University, India), Suman Lata Dhar (Sharda University, India)and Muhammad Majid Gulzar (King Fahd University of Petroleum and Minerals, Saudi Arabia)
DOI: 10.4018/979-8-3373-2382-4.ch006

Keywords: Energy / Engineering Science Reference / Mechanical Engineering / Science & Engineering

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Abstract

Electric Vehicles (EVs) are increasingly used in fleet management to reduce emissions and costs. Due to their complexity, EV fleets—especially autonomous ones—require advanced tools for energy use, maintenance, and route optimization. Data analytics enables smarter decision-making through descriptive, predictive, and prescriptive insights. Integrated with IoT, machine learning, and cloud systems, analytics helps optimize energy use, charging, and predictive maintenance. Real-world examples from Amazon, UPS, and governments show improved performance and sustainability. Despite challenges like data integrity and system integration, the paper highlights the need for innovation and collaboration to advance EV fleet analytics.

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