Battery technology forms the foundation of electric vehicles, making battery testing and performance evaluation essential for EV education and research. Factors such as battery life, efficiency, charging characteristics, and thermal behavior significantly affect vehicle performance and reliability.
To support practical battery studies, Ecosense installed the Battery Cycler with Data Analytics platform at SMVDU. The system allows students and researchers to perform detailed charge-discharge experiments while continuously monitoring battery parameters and performance indicators.
The platform enables practical learning related to:
- Battery charging characteristics
- Discharge profiles
- Capacity estimation
- Cycle life studies
- State of Charge (SOC) analysis
- Battery efficiency evaluation
- Degradation and performance trends
One of the major advantages of this platform is its integrated data analytics capability. Students can observe battery behavior in real time and analyze performance trends through graphical representation and stored datasets.
Instead of learning battery behavior through static textbook examples, users gain the opportunity to study how batteries respond under actual operating conditions. This practical understanding helps learners identify patterns associated with battery aging, charging efficiency, and system performance.
The system can also support research activities involving lithium-ion battery technologies, making it valuable for both academic coursework and applied research projects.