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Learning Modules

EV Drive Line Simulator with Controller Development & Validation Platform

The EV Driveline Simulator with Controller Development & Validation Platform is a complete hardware-integrated environment designed for mastering electric vehicle propulsion systems. It enables students, researchers, and engineers to design, test, and validate motor control algorithms on real PMSM traction motors, interact with a programmable dynamometer, execute drive cycles, and evaluate full charging–discharging workflows. The platform replicates a true EV energy ecosystem—from grid to battery to motor and back—making it ideal for advanced learning, research, and prototype development in electric mobility.

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Battery Cycler with Data Analytics

The Battery Cycler with Data Analytics (BCDA) is a comprehensive educational and experimental platform designed to study and analyze electric vehicle (EV) battery systems. Combining real EV components with open-source software and a built-in environmental chamber, this system provides users with the tools to conduct hands-on experiments, simulate real-world conditions, and perform in-depth data analytics. BCDA is ideal for institutions and research labs aiming to deliver practical skills and foster innovation in battery technology and electric mobility.

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BMS Learn & Build Platform

The BMS Learn & Build Platform is a comprehensive learning, development, and validation solution designed for students, researchers, universities, and industry professionals working with battery technologies. It bridges the gap between theoretical education and practical implementation by providing a hands-on environment to design, program, test, and validate a BMS battery management system for real battery packs. Built for next-generation battery technologies, the platform enables users to develop and evaluate BMS for lithium-ion battery applications used in electric vehicles, renewable energy storage systems, robotics, drones, and industrial battery-powered equipment. Whether learning battery fundamentals or developing advanced control algorithms, this platform provides an industry-ready experience. The system combines a programmable BMS controller, intelligent battery monitoring system, battery cycler, data acquisition, and optional environmental testing chamber into a single integrated solution. With LabVIEW-based visualization and open-source firmware, users can configure battery parameters, perform BMS battery charging experiments, execute protection algorithms, and analyse battery performance in real time. Designed for education, research, and product development, the platform provides a scalable environment for developing modern EV BMS solutions while supporting practical experimentation with real lithium-ion battery packs.

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Modular and Adaptive EVSE

The Modular and Adaptive Electric Vehicle Supply Equipment (MAEVSE) by Ecosense is a fully integrated educational and research platform that simulates the complete EV charging ecosystem. Designed for universities, polytechnics, and technical institutions, MAEVSE combines real EV hardware with open-source control software, enabling students and researchers to explore every aspect of EV charging technology—from onboard AC charging to off-board DC fast charging—through hands-on experimentation, data analysis, and control algorithm development. This lab-grade platform is engineered to bridge the gap between theoretical knowledge and real-world EV infrastructure.

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Modular Battery & BMS Development Platform

The future of electric mobility and energy storage depends on intelligent battery management. At the core of every high-performance battery pack lies a reliable BMS battery system that ensures safety, efficiency, and longevity. The Modular Battery & BMS Development Platform bridges the gap between theoretical learning and practical battery engineering. Designed for universities, EV research labs, and battery developers, the platform enables complete battery lifecycle development — from cell preparation and sorting to pack assembly, algorithm design, validation, and environmental testing. This platform functions as a complete BMS battery system research environment, enabling students and researchers to study cell behavior, develop battery management algorithms, and validate system performance under real operating conditions. It is more than a training kit; it is a comprehensive battery development and validation ecosystem.

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