Surrogacy-Based Maximization of Output Power of a Low-Voltage Vibration Energy Harvesting Device

Abstract

The coreless microgenerators implemented in electromagnetic vibration energy harvesting devices usually suffer from power deficiency. This can be noticeably improved by optimizing the distribution of separate turns within the armature winding. The purposeful optimization routine developed in this work is based on numerical identification of the turns that contribute most to the electromotive force and the elimination of those with the least contribution in order to reduce the internal impedance of the winding. The associated mixed integer nonlinear programming problem is solved comparatively using three approaches employing surrogate models based on kriging. The results show very good performance of the strategy based on a sequentially refined kriging in terms of the ability to accurately localize extremum and reduction of the algorithm execution time. As a result of optimization, the output power of the system increased by some 300 percent with respect to the initial configuration.

A Review on Kinetic Energy Harvesting with Focus on 3D Printed Electromagnetic Vibration Harvesters

“…In [52], a coreless, non-linear, resonant vibration harvester was presented. The authors intended to improve the efficiency of coreless harvesters.…”

“…There are various applications mentioned; specific applications as well as potential fields of application. The most common fields are WSNs [44,52,58,66] as well as wearables/portable devices [24,46,54,62,63]. Health/fitness monitoring [62,63] are a subcategory of wearables.…”

Analysis of Core Loss of Permanent Magnet Synchronous Machine for Vehicle Applications under Different Operating Conditions

“…When the motor adopted MTPA control, the internal magnetic saturation of the stator was relatively high, and the phase current obtained was larger than the phase current without considering the magnetic saturation. In weak field control, the magnetic saturation was low, and the phase current was smaller than the phase current without considering the effect of magnetic saturation [15][16][17][18][19][20][21][22][23]. The A-phase current shown in Figure 2 was Fourier decomposed to get its harmonic amplitudes, as shown in Figure 3.…”

Applied Optimization in Clean and Renewable Energy: New Trends

“…The authors propose a fast heuristic algorithm for constructing an optimized ε-cover that gives a reasonable balance the value of the proximity parameter ε and the number of spheres used. In the paper [5], the authors investigate coreless microgenerators implemented in electromagnetic vibration energy harvesting devices and developed a targeted optimization procedure that is based on the numerical identification of the turns that contribute the most to the electromotive force and the elimination of those with the least contribution in order to reduce the internal impedance of the winding. In the paper [6], the authors created a mathematical model by using a multi-criteria optimization mechanism to resolve the impact of economy and energy allocation in the mixed photovoltaic type microgrid (combined cooling, heating and power).…”