Published March 1, 2020 | Version v1
Journal article

Maximum power point of piezoelectric energy harvesters: a review of optimality condition for electrical tuning

  • 1. Institut Supérieur d'Electronique de Paris (ISEP), 28 rue Notre Dame des Champs, F-75006, Paris (France)
  • 2. Université Grenoble Alpes, CEA, LETI, MINATEC, F-38000 Grenoble (France)
  • 3. GeePs - Group of electrical engineering—Paris, UMR CNRS 8507, CentraleSupélec, Univ. Paris-Sud, Sorbonne Universités, UPMC Univ. Paris 06, 3,11 rue Joliot-Curie, Plateau de Moulon F-91192 Gif-sur-Yvette CEDEX (France)
  • 4. Centre for Nanoscience and Nanotechnology, Univ. Paris Sud—CNRS, Université Paris-Saclay (France)
  • 5. SYMME, Université Savoie Mont-Blanc (France)

Description

This paper is a review and synthetic presentation of existing energy harvesting circuits and techniques for piezoelectric energy scavengers. We provide a hierarchical presentation based on functional analysis to distinguish between existing solutions which may look superficially similar but prove to perform very differently in practice. Based on this hierarchical presentation, definitions of topologies, architectures and techniques are given in order to avoid redundancy among existing and future solutions. Then, after a thorough and unified mathematical analysis of the general problem to address, we present a comparison of the conditions for each technique to maximize the power flow from an external vibration source to an electrical load. This analysis is meant to help researchers and engineers make optimal choices for effective implementation of maximum power point tracking. (topical review)

Availability note (English)

Available from http://dx.doi.org/10.1088/1361-665X/ab6484

Additional details

Identifiers

Publishing Information

Journal Title
Smart Materials and Structures (Print)
Journal Volume
29
Journal Issue
3
Journal Page Range
[33 p.]
ISSN
0964-1726

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
53055565
Subject category
S36: MATERIALS SCIENCE;
Descriptors DEI
COMPARATIVE EVALUATIONS; PIEZOELECTRICITY; REDUNDANCY; TOPOLOGY; TUNING
Descriptors DEC
ELECTRICITY; EVALUATION; MATHEMATICS