Vibration energy harvesting system based on track energy-recycling technology for heavy-duty freight railroads

Zhang, Tingsheng; Wu, Xiaoping; Pan, Yajia; Luo, Dabing; Xu, Yongsheng; Zhang, Zutao; Yuan, Yanping; Yan, Jinyue

doi:10.1016/j.apenergy.2022.119673

Cited by 19 publications

(13 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Section: Available Ambient Micro-energymentioning

confidence: 99%

Recent Progress in Application‐Oriented Self‐Powered Microelectronics

Qi,

Kong,

Wang

et al. 2023

Advanced Energy Materials

Self Cite

View full text Add to dashboard Cite

With the rapid development of the Internet of Things (IoTs), numerous distributed wide‐area low‐power electronic devices have been utilized in various fields, such as wireless monitoring sensors and wearable electronics. Due to the dispersion and mobility of microelectronic devices, their energy supply faces serious challenges. The inconvenience and non‐environmental friendliness of using traditional centralized low entropy energy and chemical batteries to power distributed microelectronic devices are becoming increasingly prominent. Environmental energy harvesting technology with high entropy characteristics is considered an effective solution for low‐power electronic devices. This paper comprehensively reviews the recent progress in microelectronic technologies based on energy harvesting and signal sensing. First, state‐of‐the‐art micro‐power electronic devices in humans, animals, and the environment are introduced. Secondly, the available micro‐energy sources in the environmentare elaborated and summarized. Then, the principles and characteristics of ambient microenergy harvesting technologies based on different mechanisms are classified, summarized, and analyzed. In addition, this work comprehensively summarizes the applications of self‐powered micro‐electronics technology in 11 different fields, including human, animal, and environment. Finally, research challenges, technical difficulties, and research gaps in self‐powered microelectronics based on micro‐energy harvesting technology are discussed and summarized.

show abstract

Section: Available Ambient Micro-energymentioning

confidence: 99%

Recent Progress in Application‐Oriented Self‐Powered Microelectronics

Qi,

Kong,

Wang

et al. 2023

Advanced Energy Materials

Self Cite

View full text Add to dashboard Cite

show abstract

“…As a promising way of generating electricity, electromagnetic generators (EMG) have the advantages of high output power, low impedance, and high current, and their performance advantages have been demonstrated in many wearable energy harvesters. [ 32,33 ]…”

Section: Introductionmentioning

confidence: 99%

A Self‐Powered and Self‐Sensing Lower‐Limb System for Smart Healthcare

Kong

Fang

Zhang

et al. 2023

Advanced Energy Materials

Self Cite

View full text Add to dashboard Cite

In the age of the artificial intelligence of things (AIoT), wearable devices have been extensively developed for smart healthcare. This paper proposes a self‐powered and self‐sensing lower‐limb system (SS‐LS) with negative energy harvesting and motion capture for smart healthcare. The SS‐LS achieves self‐sustainability via a half‐wave electromagnetic generator (HW‐EMG) that recovers negative work from walking with a low cost of harvesting. Additionally, the motion capture function of the system is achieved by the three‐channel triboelectric nanogenerator (TC‐TENG) based on binary code, which can accurately detect the angle and direction of the knee joint rotation. The bench test experiment indicates that the HW‐EMG has an average output power of 11.2 mW, sufficient to power a wireless sensor. The three‐channel voltage signal of TC‐TENG fits well with the binary signal, which can precisely detect the angle and direction of rotation. Furthermore, the SS‐LS demonstrates an identification accuracy of 99.68% and a motion detection accuracy of 99.96% based on an LSTM deep learning model. Demonstrations of Parkinson's disease and fall detection and monitoring of three training modes (sit‐and‐stand, balance, and walking training) are also performed, which exhibit outstanding sensing capabilities. The SS‐LS is highly promising in sports rehabilitation medicine and can contribute to the development of smart healthcare.

show abstract

“…The special closed-loop shaped gear train can isolate all shaped gears in rebound condition to reduce unnecessary energy loss, and the maximum efficiency is about 51.9%. Zhang et al (2022) innovated the vibration-to-rotation mechanism with the combination of the slider and scissor linkage for heavy-duty freight railroad energy harvesting. Two pairs of them and two one-way clutches form a single-shaft system with the motion rectification function, which was validated with a maximum mechanical efficiency of 73.38% and peak power of 7.44 W.…”

Section: Introductionmentioning

confidence: 99%

Mechanically-driven energy harvester in railway freight system: Integrated modeling and performance analysis

Dong

Yu²

2023

Journal of Intelligent Material Systems and Structures

View full text Add to dashboard Cite

Vibration energy harvesters (VEHs) convert mechanical energy of unpowered freight wagons into electricity and unlock more smart devices to improve operating conditions. In this paper, the nut-screw-based mechanically-driven VEHs (MD-VEHs) along with several mechanical motion rectifiers (MMRs) are proposed and compared in nonlinear railway freight system. Firstly, the working principles of harvesters with non-MMR, half-wave and full-wave MMRs are researched, and equivalent circuit models are established to better reveal the engagement and disengagement of one-way clutches, followed by the integrated model of wagon-harvester system which studies the suspension vibration response and assesses harvester performance. The harvester equivalent circuit model is validated on a horizontal test bench, and presents a good consistency with test data. In addition, the effects of harvester equivalent damping and inertia on performance are explored systematically. The analysis results indicate that full-wave MMR presents the best power performance under the same parameter configuration. The increase of flywheel inertia will decrease the power generation capacity of non-MMR configuration, but further enhance those of half-wave and full-wave MMRs and narrow the performance gap between both. This analysis based on system coupling will be instructive for the engineering design and application of railway VEHs.

show abstract

Vibration energy harvesting system based on track energy-recycling technology for heavy-duty freight railroads

Cited by 19 publications

References 40 publications

Recent Progress in Application‐Oriented Self‐Powered Microelectronics

Recent Progress in Application‐Oriented Self‐Powered Microelectronics

A Self‐Powered and Self‐Sensing Lower‐Limb System for Smart Healthcare

Mechanically-driven energy harvester in railway freight system: Integrated modeling and performance analysis

Contact Info

Product

Resources

About