AI and IoT-based Electric Vehicle Monitoring System

M. Bharathi, K. Geetha, P. Mani, G. N. Samuel Vijayakumar, K. Srinivasan, K. R. Kumar
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Abstract

In this technology world, technology is increasing by giving solutions to many problems. By using this technology, a solution for decreasing air pollution is implemented. The main cause of increasing air pollution is using various kinds of vehicles that run on combustion engines for transportation utilities. The implementation of Electric Vehicle (EVs) can resolve this air pollution problem and keeps the environment as pollution-free air and the world can survive in pure air. EVs are like machines that run on a charging battery. An EV’s condition is depending on the battery’s performance. The parameters for the battery’s condition the voltage, current, and temperature. By using these parameters State of Charge (SOC) is determined. These performances are monitored as Battery Management System (BMS). In this paper, the EV monitoring system is implemented using the combination of Artificial Intelligence (AI) and Internet of Things (IoT) interfacing by the sensors in the vehicle’s battery, and to the cloud. The performance of the battery is monitored using the mobile application of the cloud.
基于人工智能和物联网的电动汽车监控系统
在这个技术的世界里,技术通过给许多问题提供解决方案而不断发展。通过使用该技术,实现了减少空气污染的解决方案。空气污染日益严重的主要原因是各种交通工具使用内燃机。电动汽车(ev)的实施可以解决这一空气污染问题,使环境保持无污染的空气,世界可以在纯净的空气中生存。电动汽车就像靠充电电池运行的机器。电动汽车的状态取决于电池的性能。电池状态的参数包括电压、电流和温度。通过使用这些参数来确定荷电状态(SOC)。这些性能通过电池管理系统(BMS)进行监控。本文采用人工智能(AI)和物联网(IoT)相结合的方式实现电动汽车监控系统,该系统由汽车电池中的传感器与云连接。使用云的移动应用程序监控电池的性能。
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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