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 EMG unit can achieve a maximum peak power of 4.5 mW at an optimal load resistance of 1 MΩ. Meanwhile, the 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.

Ocean wave energy is a significant and promising source of renewable energy. However, the energy harvesting is challenging due to the multi-directional nature of waves. This paper proposes a magnetic-field-assisted triboelectric nanogenerator (MFA-TENG) for harvesting multi-directional wave energy. By incorporating a magnetic field, the planar motion of the pendulum is converted into spatial motion, increasing the triggering of multilayered TENG (M-TENG) and enhancing the output energy of the MFA-TENG. Experimental results demonstrate that the output energy of the MFA-TENG is increased by 73% by utilizing the magnetic field. Moreover, a spring model based on the origami-structured M-TENG is established to analyze the effect of different equivalent stiffnesses on the performance of the M-TENG, aiming to obtain optimal output performance. The results showcase the impressive output performance of the M-TENG, generating outputs of 250 V, 18 μA, and 255 nC. Furthermore, the proposed MFA-TENG effectively harvests multi-directional wave energy under water-wave driven conditions. This study significantly enhances the ability of the MFA-TENG to harvest multi-directional wave energy and presents a promising approach for self-powered marine monitoring in the future.

The development and utilization of marine blue energy has become the focus of current research. A drawstring triboelectric nanogenerator with modular electrodes (DS-TENG) is proposed to harvest wave energy. Motion displacement and water wave adaptability are improved by using the drawstring structure in the DS-TENG. Furthermore, the modular electrode design is applied to improve the durability and replaceability of the generation units. The rationality of the structure is verified by theoretical analysis, and performance experiments on the fundamental output, displacement and frequency, durability and application are carried out. The DS-TENG can achieve output performance of 98.03 nC, 3.63 μA, 238.50 V and 923.92 µW at 150 mm and 1.0 Hz. In addition, the performance drops by 6.11% after 110,000 cycles for DS-TENG durability. This paper will provide reference for the design of TENG that adapts to a wide range of wave heights.

The development of automation industry is inseparable from the progress of sensing technology. As a promising self-powered sensing technology, the durability and stability of triboelectric sensor (TES) have always been inevitable challenges. Herein, a continuous charge supplement (CCS) strategy and an adaptive signal processing (ASP) method are proposed to improve the lifetime and robustness of TES. The CCS uses low friction brushes to increase the surface charge density of the dielectric, ensuring the reliability of sensing. A triboelectric mechanical motion sensor (TMMS) with CCS is designed, and its electrical signal is hardly attenuated after 1.5 million cycles after reasonable parameter optimization, which is unprecedented in linear TESs. After that, the dynamic characteristics of the CCS-TMMS are analyzed with error rates of less than 1% and 2% for displacement and velocity, respectively, and a signal-to-noise ratio of more than 35 dB. Also, the ASP used a signal conditioning circuit for impedance matching and analog-to-digital conversion to achieve a stable output of digital signals, while the integrated design and manufacture of each hardware module is achieved. Finally, an intelligent logistics transmission system (ILTS) capable of wirelessly monitoring multiple motion parameters is developed. This work is expected to contribute to automation industries such as smart factories and unmanned warehousing.

The high-voltage power source is one of the important research directions of triboelectric nanogenerator (TENG). In this paper, a high-voltage output TENG (HVO-TENG) is proposed with direct current/alternating current (DC/AC) optimal combination method for wind energy harvesting. Through the optimal design of a direct current generation unit (DCGU) and an alternating current generation unit (ACGU), the HVO-TENG can produce DC voltage of 21.5 kV and AC voltage of 200 V, simultaneously. The HVO-TENG can continuously illuminate more than 6,000 light emitting diodes (LEDs), which is enough to drive more possible applications of TENG. Besides, this paper explored application experiments on HVO-TENG. Demonstrative experiments indicate that the high-voltage DC output is used for producing ozone, while the AC output can light up ultraviolet (UV) LEDs. The HVO-TENG can increase the ozone concentration (C) in an airtight container to 3 parts per million (ppm) after 7 h and continuously light up UV LEDs. All these demonstrations verify that the HVO-TENG has important guiding significance for designing high performance TENG.