Magnetic-assisted self-powered vehicle motion sensor based on triboelectric nanogenerator for real-time monitoring of vehicle motion states

The monitoring of vehicle motion states is a key factor to ensure smooth, safe, and efficient management of traffic in intelligent transportation systems. However, employing multiple sensors for vehicle motion states monitoring not only increases system costs but also complicates the wiring. Here, we propose an integrated magnetic-assisted self-powered vehicle motion sensor (MSVMS) based on a triboelectric nanogenerator for real-time monitoring of vehicle motion states, including acceleration, angular speed, and inclination angle. By introducing a magnetic repulsion adjustment system, the sensor can achieve automatic resetting and effectively monitor the vehicle’s motion state during normal driving. Experimental results indicate that the electromagnetic generator (EMG) unit can achieve a maximum peak power of 4.5 mW at an optimal load resistance of 1 kΩ. Meanwhile, the triboelectric nanogenerator (TENG) unit demonstrated good sensing performance for acceleration, angular speed, and inclination angle, with fitting coefficients of 0.99, 0.979, and 0.978, respectively. Finally, the feasibility of the MSVMS in monitoring acceleration magnitude and direction is verified in a vehicle motion sensing system and actual vehicle test scenarios. This work further validates the potential application prospects of MSVMS in intelligent transportation systems.

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Publication Details

Journal
Nano Research
Published
2024-12-16
DOI
https://doi.org/10.26599/nr.2025.94907015
Citations
5
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.92

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article

Magnetic-assisted self-powered vehicle motion sensor based on triboelectric nanogenerator for real-time monitoring of vehicle motion states

Tinghai Cheng, Bangcheng Zhang, Hancheng Li, Shaosong Li et al.
5 citations
Nano Research
Advanced Sensor and Energy Harvesting Materials
0.92
article

Magnetic-assisted self-powered vehicle motion sensor based on triboelectric nanogenerator for real-time monitoring of vehicle motion states

Tinghai Cheng, Bangcheng Zhang, Hancheng Li, Shaosong Li, Jianming Wen, Chunyang Wang, Hengyu Li, Xiaohui Lu, Wei Lv, Shitong Yang
article en
5 citations

Abstract

The monitoring of vehicle motion states is a key factor to ensure smooth, safe, and efficient management of traffic in intelligent transportation systems. However, employing multiple sensors for vehicle motion states monitoring not only increases system costs but also complicates the wiring. Here, we propose an integrated magnetic-assisted self-powered vehicle motion sensor (MSVMS) based on a triboelectric nanogenerator for real-time monitoring of vehicle motion states, including acceleration, angular speed, and inclination angle. By introducing a magnetic repulsion adjustment system, the sensor can achieve automatic resetting and effectively monitor the vehicle’s motion state during normal driving. Experimental results indicate that the electromagnetic generator (EMG) unit can achieve a maximum peak power of 4.5 mW at an optimal load resistance of 1 kΩ. Meanwhile, the triboelectric nanogenerator (TENG) unit demonstrated good sensing performance for acceleration, angular speed, and inclination angle, with fitting coefficients of 0.99, 0.979, and 0.978, respectively. Finally, the feasibility of the MSVMS in monitoring acceleration magnitude and direction is verified in a vehicle motion sensing system and actual vehicle test scenarios. This work further validates the potential application prospects of MSVMS in intelligent transportation systems.

Nano ResearchVol. 18(1)
Zhejiang Normal University (CN), Beijing Institute of Nanoenergy and Nanosystems (CN), Changchun Institute of Technology (CN), Changchun University of Technology (CN)
China Postdoctoral Science Foundation
Affordable and clean energy
Openalex Percentile: Top 27%
Advanced Sensor and Energy Harvesting Materials
0.92
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