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- W3181236698 abstract "DC/DC converters are the essential component of power management in applications such as self-powered systems. Their simulation plays an important role in the configuration, analysis and design. A major drawback is the lack of behavioral models for DC/DC converters for long-term simulations (days or months). Available models are cycle-to-cycle-based due to the switch-mode nature of the converters and are therefore not applicable. In this work, we present a new behavioral model of a DC/DC power converter. The model is based on a thorough discussion of the model aspects that are relevant for self-powered systems, such as electrical representation and the causal connection if input and output. The model implementation is shown in the Modelica language and is available as an open-source library. The highlights of the model are a feedback controller for operation at the maximum power point (MPP), a loss-based efficiency function, and the start/stop behavior. The model’s capabilities are demonstrated in a 24h-experiment to predict voltage levels and the conversion efficiency." @default.
- W3181236698 created "2021-07-19" @default.
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- W3181236698 date "2021-07-05" @default.
- W3181236698 modified "2023-09-27" @default.
- W3181236698 title "Behavioral Modeling of DC/DC Converters in Self-Powered Sensor Systems with Modelica" @default.
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- W3181236698 doi "https://doi.org/10.3390/s21134599" @default.
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