Multi-Objective Design Optimization of Fractal-based Piezoelectric Energy Harvester
Paper in proceeding, 2021

This paper studies optimization solutions for a proof-of-concept design methodology for a fractal-based tree energy harvester with a stress distribution optimized structure. The focus is on obtaining a sufficiently high-power output and a high enough stress in the longitudinal branch direction by using Frequency Response Functions. The design methodology shows that using the MATLAB code with Sensitivity Analysis and Multi-objective Optimization in combination with elitist genetic algorithm enables an optimal design.


Bogdan Pamfil

Student at Chalmers

Richard Palm

Student at Chalmers

Agin Vyas

Chalmers, Microtechnology and Nanoscience (MC2), Electronics Material and Systems

Henrik Staaf

RISE Research Institutes of Sweden

Cristina Rusu

RISE Research Institutes of Sweden

Peter Folkow

Chalmers, Mechanics and Maritime Sciences (M2), Dynamics

2021 IEEE 20th International Conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications

978-1-6654-2218-5 (ISBN)

Exeter, United Kingdom,

Subject Categories

Applied Mechanics

Other Electrical Engineering, Electronic Engineering, Information Engineering





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