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This project investigates machine-learning approaches to predict the remaining driving range of electric vehicles using onboard telemetry and contextual features. The work, conducted as part of a research internship at the Department of Management Studies, IIT Roorkee
Ranked 12th globally in the IEEE-VTS Motor Vehicles Challenge 2026 as team ToLegends. I optimized a dual-motor electric refrigerated lorry powertrain using MATLAB/Simulink, building a custom energy management strategy with position-based charging and a 2000 Nm/s torque rate limit to maximize system efficiency and longevity.
The EV Battery Telemetry & BMS Diagnostics Platform is an end-to-end telemetry acquisition, state-estimation, and cloud monitoring system designed to replicate real-world automotive powertrain data pipelines. It bridges embedded hardware protocols with cloud analytics to demonstrate how modern Battery Management Systems (BMS) acquire cell metrics.
Electric Drive The function of an electric drives system is the controlled conversion of electrical energy to a mechanical form, and vice versa, via a magnetic field.
A modern, responsive landing page for an electric vehicle (EV) brand built using ReactJS. Ideal for showcasing product design, layout structure, and responsive UI with clean components.
Performing Market Segmentation on different Electric Vehicles datasets by different data visualization techniques to gain insights and find underlying patterns