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Name of experiment：modeling and experimental study of vertical moving magnetic piezoelectric vibration energy collector

Research direction：in order to improve the performance of single cantilever piezoelectric energy collector

Experiment content：

In order to improve the performance of single cantilever piezoelectric energy collector, a vertical moving magnetic piezoelectric vibration energy collector structure was designed. A lumped parameter piezoelectric coupling model was established for the structure and numerical simulation was carried out. An experimental platform was built to evaluate the performance of the structure.

Test equipment：

oscilloscope, energy collection circuit, signal generator, ATA-3080 power amplifier, electromagnetic vibration exciter, accelerometer, etc.

Experimental process：

The excitation part of the experimental platform is composed of a function generator, a power amplifier and an electromagnetic vibration exciter. The measurement part is composed of acceleration measurement and energy measurement function. The acceleration measurement is completed by the accelerometer and the additional signal conditioning device. The accelerometer is fixed on the acrylic base to calibrate and measure the acceleration of the excitation.

piezoelectric materials are connected to an energy collection circuit by wires, and resistors are added to the circuit as a load to facilitate testing of the performance of the energy collection device. Both ends of the load and the output of the IEPE acceleration sensor are directly connected to the oscilloscope, and directly record the output voltage and acceleration of the system.

Experimental result：

1. Low frequency repulsion and MIMo attraction model show mimo wide band characteristics, while high frequency repulsion and low frequency attraction show double peak characteristics, and the low frequency repulsion model is easier to apply.

Voltage and power curves under different loads

2. The lumped parameter model can effectively predict the structural properties within the acceptable error range, and the prediction error of the amplitude is less than 7%, which can be used for the design and parameter optimization of VMM-PVEH.

3. There are optimal magnet distance values under different magnetic induction intensities. With the increase of magnetic induction intensities, the optimal distance values become larger, and the peak values under each optimal value are approximate.

4. Under the optimized parameters, the peak power and bandwidth of the system can be increased by 42.7% and 40.6% respectively.