Stochastic dynamics and performance optimization of a bistable hybrid energy harvester with rectifier circuits
Artykuł w czasopiśmie
MNiSW
140
Lista 2024
| Status: | |
| Autorzy: | Sun Chengjia, Jin Yanfei, Zhao Zhen, Litak Grzegorz |
| Dyscypliny: | |
| Aby zobaczyć szczegóły należy się zalogować. | |
| Rok wydania: | 2026 |
| Wersja dokumentu: | Drukowana | Elektroniczna |
| Język: | angielski |
| Wolumen/Tom: | 114 |
| Numer artykułu: | 1109 |
| Strony: | 1 - 19 |
| Impact Factor: | 5,7 |
| Web of Science® Times Cited: | 0 |
| Bazy: | Web of Science |
| Efekt badań statutowych | NIE |
| Finansowanie: | This work was supported by the National Natural Science Foundation of China (Grant Nos. 12072025, 12302038), the Beijing Natural Science Foundation (Grant No. 1222015), and the National Science Centre, Poland, under the OPUS Call in the Weave program (Project No. 2023/51/I/ST8/02739). |
| Materiał konferencyjny: | NIE |
| Publikacja OA: | NIE |
| Abstrakty: | angielski |
| This paper investigates the stochastic dynamics and output performance of a bistable piezoelectric-electromagnetic hybrid vibrational energy harvester (VEH), which is integrated with a standard rectifier circuit and operates under Gaussian white noise excitation. Based on experimentally identified dimensionless parameters, a coupled electromechanical model is established to capture the strong interaction between the bistable mechanical motion and the electrical interface circuit. A semi-analytical solution is developed to characterize the system dynamics and output power through stochastic averaging, enabling efficient evaluation of the stationary probability density and mean electrical response. To enhance harvesting performance, a hybrid genetic algorithm-pattern search (GA-PS) strategy is employed to simultaneously optimize multiple tunable parameters, including key geometric and circuit parameters. The results indicate a noticeable improvement in energy harvesting performance under optimal conditions. Experimental investigations are conducted to examine the stochastic dynamic behaviors. In particular, the influence of key parameters, such as magnet spacing, is experimentally confirmed. The results show trends consistent with the theoretical analysis and lead to an increase in output voltage |
