Abstract
Generally, WSNs or IoT nodes are powered by energy-constrained batteries, which significantly limit their operating lifetime and application. Harvesting energy from the surrounding environment provides a promising solution for self-powered WSNs or IoT nodes. Compared with other energy harvesting approaches, thermoelectric energy harvesting based on thermoelectric generators (TEGs) has many advantages. However, the power output of TEGs is difficult to be maintained at its maximum power point (MPP) due to the fluctuation of ambient temperature. To achieve the maximum power point tracking (MPPT) based-on internal resistance matching method for self-powered WSNs or IoT nodes using TEG, this paper proposes a simple approach to obtain the models of TEG open-circuit voltage, Seebeck coefficient, and internal resistance. The proposed method is verified by a series of experiments on a commercial TEG module. The results indicate that the presented models are more accurate and simple than the existing models reported by other authors.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.