On Mechanical and Electrical Coupling Determination at Piezoelectric Harvester by Customized Algorithm Modeling and...

Area of Science:

• Materials Science
• Electrical Engineering
• Energy Harvesting

Background:

• Piezoelectric harvesters convert mechanical vibrations into electrical energy.
• Limited research exists on the material properties influencing harvester performance.
• Understanding electromechanical coupling is crucial for optimizing energy scavenging.

Purpose of the Study:

• To develop a behavior real model (BRM) for predicting the root-mean-square (rms) voltage output of a piezoelectric harvester.
• To investigate the adaptive behavior of piezoelectric materials under mechanical strain and electrical load.
• To establish a relationship between actuator and generator behavior in piezoelectric harvesters.

Main Methods:

• Experimental measurement of electromechanical parameters for a homemade PZT bimorph harvester.
• Development of a customized iterative algorithm to adapt the electromechanical coupling coefficient.
• Validation of the model by reproducing the complex rms voltage output in the frequency domain.

Main Results:

• The developed model accurately predicts the rms voltage output of the piezoelectric harvester.
• Demonstrated that piezoelectric harvesters adapt their elongation and coefficients based on applied strain and electrical behavior.
• The model successfully reproduced the complex frequency-domain voltage output.

Conclusions:

• The proposed Behavior Real Model (BRM) offers a realistic prediction of piezoelectric harvester performance.
• The model can be a valuable tool for designing and manufacturing customized piezoelectric harvesters.
• Accurate characterization of electromechanical properties is key for efficient energy harvesting device development.