Electric Vehicle Management and Tracking using AI and IoT

Packialatha, A. and Vadlamudi, Bindu and Sai Thrinath, B.V. and Sundar Ganesh, C.S. and Ishrat, Mohammad and Bhaskar, Archana (2023) Electric Vehicle Management and Tracking using AI and IoT. In: 2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), Chennai, India.

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Abstract

Technology has come a long way, and now many problems can be solved with the help of new developments in the field. With this technology, we can finally put an end to the suffocating effects of air pollution. Air pollution is on the rise due to the widespread use of automobiles powered by internal combustion engines. By replacing internal combustion engines with electric motors, we can end our reliance on polluting fossil fuels and ensure future generations have access to clean air. Electric vehicles are similar to machines in that they are powered by a rechargeable battery. To what extent an EV functions depends on its battery. Voltage, current, and temperature are the indicators of battery health. These factors are used to calculate the state of charge (SOC). These results are tracked by a BMS (Battery Management System). This article details how to create an EV monitoring system that makes use of AI and IoT to collect data from the vehicle’s battery and send it to the cloud. Using a cloud-based smartphone app, we can track how well the battery is doing.

Item Type: Conference or Workshop Item (Paper)
Subjects: Electrical and Electronics Engineering > Electrical Machines
Divisions: Electrical and Electronics Engineering
Depositing User: Mr IR Admin
Date Deposited: 20 Sep 2024 05:26
Last Modified: 20 Sep 2024 05:26
URI: https://ir.vistas.ac.in/id/eprint/6606

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