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Research Opportunities

Robotics

Work description

Development of a low-cost system for testing lithium-ion battery cells, using identification techniques to determine charge and discharge models. These models will be fundamental for the design of battery management systems (BMS) in autonomous maritime vehicles, such as submarines and boats.

The system will allow accurate estimation of the state of charge (SOC) and state of health (SOH) of the batteries, optimizing mission planning and allowing the scheduled replacement of cells without interruptions in the operation of the vehicles. Writing of the Grant reports.

Academic Qualifications

Ongoing higher education training in the area of Electrical and Computer Engineering.

Minimum profile required

Advanced knowledge of Python, C and C++. Experience in microcontroller design and hardware development. Proven experience and knowledge in the field of lithium batteries. Proven ability to work autonomously and proactively.

Preference factors

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