An Energy Management Strategy for Piezoelectric Energy Harvester for Low-Power Applications

Naveen Tyagi, Anshu Mli Gaur, Rakesh Mishra

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

Abstract

This paper presents a novel design of a piezoelectric cantilever beam for energy harvesting applications. Finite element simulations have been carried out to evaluate the effect of variation of geometrical parameters on the generated voltage output. The effect of thickness and area of the designed piezoelectric structures on the output voltage has been investigated for different piezoelectric materials to select the optimal material for low-power applications. The simulation results have revealed the Aluminum nitride and PZT-7A as potential materials for PEH devices due to a higher output voltage generation (30–35 V) capability. The results have showcased the appropriate selection of piezoelectric materials. It has been demonstrated that the geometrical parameters of the beam have a substantial effect on the output voltage generation of PEH. In addition to the Finite element simulation-based design, an energy management strategy has been implemented to optimize the battery charging/discharging process. An IoT system with sensors has been proposed to monitor the real-time battery conditions and manage the output voltage generation of PEH. The designed system can optimally maintain the healthy charging voltage of the battery in the range of 3.6–3.7 V without overheating. The results from the simulation of the energy management system have showcased the capability to deliver a load of up to 0.05 watts suitable for low-power sensing applications.
Original languageEnglish
Title of host publicationProceedings of the UNIfied Conference of DAMAS, IncoME VIII and TEPEN Conferences
Subtitle of host publicationUNIfied 2024–Volume 2
EditorsManeesh Singh, Gunjan Soni, Jyoti Sinha, Andrew D. Ball, Fengshou Gu, Huajiang Ouyang, Carol Featherston
Place of PublicationCham
PublisherSpringer, Cham
Pages69-81
Number of pages13
Edition1st
ISBN (Electronic)9783031959639
ISBN (Print)9783031959622, 9783031959653
DOIs
Publication statusPublished - 14 Oct 2025

Publication series

NameMechanisms and Machine Science
PublisherSpringer
ISSN (Print)2211-0984
ISSN (Electronic)2211-0992

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