Role,application and challenges of IoT in smart EV charging management:a review

Tripti Kunj, Kirti Pal
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Abstract

The rapid expansion of Electric Vehicles (EVs) has initiated significant advancements in charging infrastructure to support sustainable transportation. This paper reviews the role and integration of the Internet of Things (IoT) in Smart EV Charging Management, highlighting how IoT technology enhances operational efficiency, energy management, and user experience. Drawing on real-world implementations such as Tesla’s predictive maintenance systems, Enel X’s JuiceNet for smart charging, and Nissan Leaf’s Vehicle-to-Grid (V2G) capabilities, the paper discusses IoT applications in areas including real-time monitoring, energy optimization, predictive maintenance, and user-centric services. These integrations demonstrate measurable benefits such as improved battery health monitoring, reduced charging downtime, and enhanced grid interaction. Furthermore, the synergy between IoT and renewable energy sources, such as solar power, is explored as a pathway to further optimize charging efficiency and minimize environmental impact. Despite the benefits, challenges such as cybersecurity risks, interoperability barriers, and the lack of communication protocol standardization are also identified. Additionally, the paper emphasizes the importance of adaptive algorithms and machine learning models for predictive maintenance and efficient resource allocation. This review serves as a key reference for policymakers, researchers, and industry leaders aiming to develop resilient and intelligent EV charging ecosystems, contributing to a more connected and sustainable electric mobility future.
物联网在电动汽车智能充电管理中的作用、应用与挑战综述
电动汽车(ev)的快速扩张推动了充电基础设施的重大进步,以支持可持续交通。本文综述了物联网(IoT)在智能电动汽车充电管理中的作用和集成,重点介绍了物联网技术如何提高运营效率、能源管理和用户体验。本文以特斯拉的预测性维护系统、Enel X的智能充电JuiceNet以及日产Leaf的车辆到电网(V2G)功能等实际应用为例,讨论了物联网在实时监控、能源优化、预测性维护和以用户为中心的服务等领域的应用。这些集成展示了可衡量的好处,例如改进电池健康监测、减少充电停机时间和增强电网交互。此外,还探索了物联网与太阳能等可再生能源之间的协同作用,作为进一步优化充电效率和最小化环境影响的途径。尽管有好处,但也发现了网络安全风险、互操作性障碍和缺乏通信协议标准化等挑战。此外,本文还强调了自适应算法和机器学习模型对于预测性维护和有效资源分配的重要性。本综述为决策者、研究人员和行业领导者提供了重要参考,旨在开发有弹性和智能的电动汽车充电生态系统,为更加互联和可持续的电动汽车未来做出贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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