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Behavioral Modeling of DC/DC Converters in Self-Powered Sensor Systems with Modelica
Jan Kokert1, Leonhard M Reindl1, Stefan J Rupitsch1
1Chair for Electrical Instrumentation and Embedded Systems, Department of Microsystems Engineering-IMTEK, University of Freiburg, Georges-Köhler-Allee 103, 79110 Freiburg, Germany.
Sensors (Basel, Switzerland)
|July 20, 2021
Summary
A new behavioral model for DC/DC converters enables long-term simulations essential for self-powered systems. This open-source model accurately predicts voltage and efficiency over extended periods.
Area of Science:
- Electrical Engineering
- Power Electronics
- System Simulation
Background:
- DC/DC converters are crucial for power management in self-powered systems.
- Existing cycle-to-cycle models are unsuitable for long-term simulations (days/months).
- Accurate simulation is vital for converter configuration, analysis, and design.
Purpose of the Study:
- To develop a novel behavioral model for DC/DC converters.
- To enable accurate long-term simulations for self-powered applications.
- To provide an open-source, implementable model in Modelica.
Main Methods:
- Developed a behavioral model focusing on electrical representation and causal input-output connections.
- Implemented the model in the Modelica language as an open-source library.
- Incorporated a feedback controller for maximum power point (MPP) operation, a loss-based efficiency function, and start/stop behavior.
Main Results:
- The new model facilitates long-term simulations, overcoming limitations of existing approaches.
- Demonstrated model capabilities through a 24-hour experiment.
- Successfully predicted voltage levels and conversion efficiency over the 24-hour period.
Conclusions:
- The presented open-source behavioral model is suitable for long-term simulations of DC/DC converters.
- The model accurately captures essential aspects for self-powered systems, including MPP tracking and efficiency.
- This work provides a valuable tool for the design and analysis of power management systems.
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