Energiegewinnung für selbstversorgende verteilte Systeme - Untersuchung der Leistungsgewinnung in selbstversorgenden Sensornetzwerken
Zusammenfassung der Projektergebnisse
Energy harvesting systems (EHS) are structures which collect energy from their ambient environment and convert it into electrical energy. The technology is a strong contender for an alternative to batteries in various applications requiring low power. Stochastic resonance energy harvesting systems (SR-EHS) have been proposed on a conceptual level, but the lack of a rigorous theory and numerical analysis tools has hampered the implementation of real-life applications. The goal of the project was to construct a novel generalized theoretical framework (macro-model) describing bi- and multi-stable systems driven by noise. The aim was to develop theoretical and numerical analysis and synthesis tools for the study and design of SR-EHS. A generalized model description of non-linear systems employing stochastic resonance was developed. The framework is unified in the sense that it can be applied to all systems independently of dimensionality, topology or parameter dependence. A comprehensive simulation program was created to test and evaluate the developed theory. The numerical tests verified the model as a correct representation of stochastic resonance in higher dimensional systems. The work detailed herein represents the preliminary steps of a larger effort aimed at the development of a computer-aided-design environment geared towards simulation of noise-driven, non-linear systems. These numerical tools could prove critical for the design and optimization of non-linear energy harvester devices.
