Modelling and Comparing Converter Architectures and Energy Harvesting ICs for Battery-Free Systems

Hannah Brunner, Sebastian Scholl, Carlo Alberto Boano, Kay Uwe Römer

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

Abstract

Battery-free energy-harvesting devices are a new class of embedded systems that operate from ambient energy stored in environmentally-friendly capacitors and promise long-
lasting, maintenance-free operation. Due to tight energy constraints, these devices often employ voltage converters and dedicated integrated circuits (ICs) to maximize the power transfer between energy harvester, storage capacitor, and load. As we show
in this paper, the selection and configuration of such converter circuits are important, but non-trivial, as their performance is highly dependent on the energy harvesting conditions. We thus provide models of five off-the-shelf energy harvesting ICs and integrate them into an open-source simulator for battery-free systems: this allows practitioners and researchers to conveniently explore the design trade-offs and anticipate the achievable performance. Furthermore, we use these models to perform a systematic comparison of different converter architectures and derive concrete recommendations.
Original languageEnglish
Title of host publicationProceedings - 2024 IEEE 21st International Conference on Mobile Ad-Hoc and Smart Systems, MASS 2024
Pages380-386
Number of pages7
ISBN (Electronic)9798350363999
DOIs
Publication statusPublished - 25 Sept 2024
EventIEEE International Conference on Mobile Adhoc and Sensor Systems, MASS 2024 - Seoul, Korea, Republic of
Duration: 23 Sept 202425 Sept 2024

Publication series

NameProceedings - 2024 IEEE 21st International Conference on Mobile Ad-Hoc and Smart Systems, MASS 2024

Conference

ConferenceIEEE International Conference on Mobile Adhoc and Sensor Systems, MASS 2024
Abbreviated titleMASS 2024
Country/TerritoryKorea, Republic of
CitySeoul
Period23/09/2425/09/24

Keywords

  • Battery-Free Systems
  • Energy Harvesting
  • Modelling
  • Simulation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Signal Processing
  • Instrumentation
  • Hardware and Architecture
  • Computer Networks and Communications
  • Acoustics and Ultrasonics

Fields of Expertise

  • Information, Communication & Computing

Fingerprint

Dive into the research topics of 'Modelling and Comparing Converter Architectures and Energy Harvesting ICs for Battery-Free Systems'. Together they form a unique fingerprint.

Cite this