International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | IOT Based Electric Vehicle Energy Consumption Predicting Device |
|---|---|
| ABSTRACT | The rapid adoption of electric vehicles (EVs) has increased the need for efficient energy management and accurate prediction of power consumption. This project presents an IoT-based Electric Vehicle Energy Consumption Predicting Device that monitors real-time vehicle parameters and predicts energy usage during operation. Sensors are used to collect data such as battery voltage, current, speed, distance traveled, and temperature. The collected data is processed by a microcontroller and transmitted to a cloud platform through IoT communication modules. |
| AUTHOR | SHAHID BASHA C, THOUFEEQ PASHA, SINGIREDDY BHANU BHARATH REDDY, THARUN G, DR. MALATESH SH Student, Dept. of Computer Science and Engineering, MS Engineering College, Bengaluru, Karnataka, India HOD, Dept. of Computer Science and Engineering, MS Engineering College, Bengaluru, Karnataka, India |
| VOLUME | 180 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1401021 |
| pdf/21_IOT Based Electric Vehicle Energy Consumption Predicting Device.pdf | |
| KEYWORDS | |
| References | 1. M. Ehsani, Y. Gao, and A. Emadi, Modern Electric, Hybrid Electric, and Fuel Cell Vehicles, CRC Press, 2018. 2. C. C. Chan and K. T. Chau, Modern Electric Vehicle Technology, Oxford University Press, 2017. 3. S. Kumar and P. Ranjan, “IoT Based Monitoring and Control System for Electric Vehicles,” International Journal of Engineering Research & Technology (IJERT), vol. 9, no. 6, 2020. 4. ESP32/Arduino Official Documentation, Embedded Systems and IoT Development Resources. 5. Blynk / Firebase IoT Platform Documentation for Data Storage and Visualization. 6. Dr. Malatesh S.H., S. Kattimani, P. Pallabavi, V.A.P., and D.M.G., “Ai Based Solar Powered Agricultured E Vehicle” International Journal of Innovative Research in Technology (IJIRT), vol. 8, no. 12, p. 6285, May 2025, ISSN: 2349-6002 |
