A Multi‐Degree‐of‐Freedom Piezoelectric Kinetic Energy Harvester for Self‐Powered Wireless Sensors in Electric Buses

Harvesting energy from the surrounding environment represents a viable method for developing self‐powered systems and realizing that vehicles' low‐power sensors are self‐powered. Nevertheless, existing energy harvesting devices exhibit limitations in their capacity to capture kinetic energy across a broad spectrum of motion. To overcome this limitation, a multi‐degree‐of‐freedom piezoelectric energy harvester has been developed, comprising three modules: motion conversion, energy transformation, and power storage. The motion conversion module utilizes a connecting rod and sliding bearing mechanism to transform complex three‐dimensional motions of swing body into simplified two‐dimensional movements of sliding mass. The energy transformation module utilizes piezoelectric elements to convert mechanical energy into electrical energy, which is then rectified and stored in capacitors by the power storage module. Experimental results demonstrate the system's capability to generate a maximum average output power of 758 μW. Capacitor charging tests show that 100, 330, and 470 μF capacitors can be charged to 1 V in 20, 32, and 50 s, respectively. Real‐world vehicle tests confirm the practical applicability of this harvester, providing valuable insights for developing self‐powered wireless sensor systems.

Authors

Institutions

Publication Details

Journal
Energy Technology
Published
2025-03-21
DOI
https://doi.org/10.1002/ente.202402440
Citations
1
Primary Topic
Innovative Energy Harvesting Technologies
Type
article
Field-Weighted Citation Impact
0.71

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Multi‐Degree‐of‐Freedom Piezoelectric Kinetic Energy Harvester for Self‐Powered Wireless Sensors in Electric Buses

Zhen Zhao, Deshuo Wan, Haichuan Cui, Xiaohui Zhang et al.
1 citations
Energy Technology
Innovative Energy Harvesting Technologies
0.71
article

A Multi‐Degree‐of‐Freedom Piezoelectric Kinetic Energy Harvester for Self‐Powered Wireless Sensors in Electric Buses

Zhen Zhao, Deshuo Wan, Haichuan Cui, Xiaohui Zhang, Duxing Fan, Baifu Zhang
article en
1 citations

Abstract

Harvesting energy from the surrounding environment represents a viable method for developing self‐powered systems and realizing that vehicles' low‐power sensors are self‐powered. Nevertheless, existing energy harvesting devices exhibit limitations in their capacity to capture kinetic energy across a broad spectrum of motion. To overcome this limitation, a multi‐degree‐of‐freedom piezoelectric energy harvester has been developed, comprising three modules: motion conversion, energy transformation, and power storage. The motion conversion module utilizes a connecting rod and sliding bearing mechanism to transform complex three‐dimensional motions of swing body into simplified two‐dimensional movements of sliding mass. The energy transformation module utilizes piezoelectric elements to convert mechanical energy into electrical energy, which is then rectified and stored in capacitors by the power storage module. Experimental results demonstrate the system's capability to generate a maximum average output power of 758 μW. Capacitor charging tests show that 100, 330, and 470 μF capacitors can be charged to 1 V in 20, 32, and 50 s, respectively. Real‐world vehicle tests confirm the practical applicability of this harvester, providing valuable insights for developing self‐powered wireless sensor systems.

Energy TechnologyVol. 13(10)
Liaocheng University (CN), Huazhong University of Science and Technology (CN), Taiyuan University of Technology (CN)
Liaocheng University
Openalex Percentile: Top 35%
Innovative Energy Harvesting Technologies
0.71
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.