Implementation of Solar Charging System with Condition Monitoring Using AI in Electric Vehicle
Gaurav Vitthal Umbarkar, Aditya Sandip Bhagat, Siddhant Raju Sonawane, Aniket Suresh Gunjal, Om Shyam More, Akash Suryabhan Prasad, Prof. A. A. Netake, Dr. D. P. Kadam
Solar Car, Reverse Parking Assistance, Driving Drowsiness system, Fleet Management.
This project focuses on improving the functionality and sustainability of electric vehicles (EVs) by addressing specific challenges and implementing new technologies. The project aims to improve reverse parking capabilities through a system equipped with sensors, ensuring smoother and more precise parking. Integrating solar power technology will capture sunlight and convert it into electricity, stored in batteries to extend the vehicle's range and reduce reliance on traditional electricity sources. An AI-powered driver monitoring system using a camera and sensors will analyse the driver's face and steering wheel input to prevent drowsy driving and issue alerts when necessary, prioritizing safety on the road. Furthermore, our project highlights real-time monitoring of EV performance and health, providing crucial data for users and fleet managers to make well-informed decisions. Overall, this project aims to make EVs more reliable, efficient, and user-friendly by tackling specific challenges and implementing advanced technologies. This advancement in the automotive industry will contribute to a more sustainable and safe transportation experience.
Article Details
Unique Paper ID: 163241

Publication Volume & Issue: Volume 10, Issue 11

Page(s): 2039 - 2046
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