About the program

During this internship, the intern designed and developed a smart home electric vehicle EV charging system incorporating Internet of Things IoT technologies for automated billing and peak demand management. The project aimed to improve energy efficiency, reduce electricity costs, and support intelligent energy usage in residential environments. IoT sensors were used to monitor real time parameters such as voltage, current, power consumption, and charging duration. The collected data was processed using a micro controller IoT platform to enable accurate energy metering and automatic billing based on consumption. Communication protocols such as WiFi MQTT were implemented to transmit data to a cloud platform or mobile web dashboard for remote monitoring. Peak demand management strategies were integrated to control charging during highload periods. The system dynamically adjusted charging rates or scheduled charging during offpeak hours to reduce grid stress and optimize energy usage. Simulation and prototype testing were carried out to evaluate system performance, reliability, and responsiveness. This internship provided practical exposure to IoT based energy management systems, smart EV charging infrastructure, embedded systems, and demand side management techniques. Tools Technologies Used: IoT Sensors and Smart Meters Microcontrollers ESP32ESP8266 Arduino WiFi MQTT Communication Cloud Dashboard Mobile Application Embedded C Python Smart Energy Management Learning Outcomes: Understanding of smart EV charging systems Knowledge of IoT based automatic billing mechanisms Experience with peak load and demand management Exposure to smart home and energy monitoring technologies

Perks

Here are AICTE-appropriate perks for the Smart Home EV Charger with Automatic Billing and Peak Demand Management using IoT internship: Hands-on experience with IoT-based smart energy systems Practical exposure to smart EV charging infrastructure Experience in automatic energy billing and smart metering Understanding of peak demand and load management techniques Real-time data monitoring using sensors and cloud platforms Skill development in embedded systems and IoT communication Exposure to smart home and smart grid technologies Industry-oriented project experience Internship completion certificate (AICTE compliant) Enhanced problem-solving and system design skills

Who can apply?

Only those candidates can apply who:

1. are from B.Tech. / B.E./ Equivalent
2. and specialisation from Electrical and Electronics Engineering,Electrical Engineering,Electrical Engineering (Electronics and Power),Electronics and Communication Engineering (Industry Integrated),Electronics and Communication Engineering (Microwaves)
3. are available for duration of 4 Months
4. have relevant skills and interests

Terms of Engagement

Terms of Engagement: 81069 75810

Number of openings

10