Results-driven professional with a strong commitment to excellence, and meeting targets under pressure. Demonstrates a proactive approach to learning new skills, fostering collaboration, and building relationships. Core competencies include resilience, adaptability, and a passion for personal growth.
Batteries in electric vehicles require efficient temperature management to operate at their best and last a long time. This project develops an Arduino-powered system that uses sensors like thermistors or DS18B20 to monitor and regulate battery temperature. The microcontroller prevents overheating by analyzing temperature data in real time and activating cooling devices like fans or liquid cooling systems. The system also has alert triggers that sound when temperature thresholds are exceeded, which increases efficiency and safety.
DC motors must maintain a steady speed for a variety of automation and industrial applications. This research investigates how to choose a suitable DC motor based on efficiency, torque, and power rating. In order to compensate for changes in load, a microcontroller and motor driver (such as the L298N) use feedback methods like encoders or current sensors to manage speed. The objective is to guarantee dependable, energy-efficient, and steady motor functioning.
In this project, an impedance matching network is designed for a dual-band antenna, which is frequently used in wireless communication and operates at 2.4 GHz and 5 GHz. Effective and dependable communication performance is ensured by optimizing the impedance to reduce signal loss and increase power transmission using strategies like the Smith Chart method.
Akanksha Tomar