Energy collection ways using solar energy, wave, wind, or mechanical energy have attracted widespread attention for small self-powered electronic devices with low power consumption, such as sensors, wearable devices, electronic skin, and implantable devices. Among them, triboelectric nanogenerator (TENG) operated by coupling effect of triboelectrification and electrostatic induction has gradually gained prominence due to its advantages such as low cost, lightweight, high degree of freedom in material selection, large power, and high applicability. The device with a single energy exchange mechanism is limited by its conversion efficiency and work environment and cannot achieve the maximum conversion of energy. Thus, this article reviews the research status of different types of hybrid generators based on TENG in recent years. Hybrid energy generators will improve the output performance though the integration of different energy exchange methods, which have an excellent application prospect. From the perspective of energy complementation, it can be divided into harvesting mechanical energy by various principles, combining with harvesters of other clean energy, and converting mechanical energy or various energy sources into hydrogen energy. For integrating multitype energy harvesters, mechanism of single device and structural design of integrated units for different application scenarios are summarized. The expanding energy harvesting efficiency of the hybrid TENG makes the scheme of self-charging unit to power intelligent mobile electronic feasible and has practical significance for the development of self-powered sensor network.
| (1) | Hybrid energy harvesting: the integration of various kinds of energy is mainly a compound of two kinds of energy; few have a combination of three or more energy sources. Subject to the limitations of functional materials themselves, various collection devices need to improve the characteristics of the materials themselves to enhance the output indicators |
| (2) | Integrate design: at present, the composition of hybrid energy mechanisms is mainly reflected in a simple stack of different energy harvesters. Thus, the energy efficiency of the hybrid system can be improved through the reasonable layout of the placement positions of different energy units. However, there is little research on the complex energy management circuit. Because different energy harvesting units have different system resistance and response characteristics, the single-strategy energy management mode or management chip is not applicable. At the same time, the stability of every energy unit in the hybrid system and the whole structure needs to be optimized to meet harsh environments and long working hours |
| (3) | Self-charging power pack: although the hybrid energy harvesting can improve the energy efficiency to a certain extent, the energy scale of TENG still belongs to the category of microenergy, and minimizing the power consumption of the back-end management circuit is the long-term pursuit goal in this field. Energy storage devices matching different hybrid energy devices are also less studied, such as batteries and supercapacitors. Wearable electronic devices have increasing application potential in the field of the Internet of Things, but the limitation of traditional power sources has been a huge challenge. To meet this challenge, integrating wearable energy harvesting device and energy storage device into the self-powered device is a promising solution. Thus, as for a wearable self-charging power pack, the hybrid energy system needs to be designed as a flexible, light, washable, and wearable power pack |
| (4) | Self-powered sensor: because the different energy collection devices themselves are sensitive to different signals, hybrid self-powered sensors are appropriate for multisignal recognition. Multifunctional self-powered sensors based on hybrid energy devices avoid signal crossing and can detect multiple signals at the same time, which is a reliable way for future integrated sensor networks. However, in order to meet the practical application challenges, the sensors are facing the problem of damage and unable to work for a long time. There has been no progress in the self-repair function of the multifunction sensor, and this problem needs to be overcome. Intelligence is the future development trend of sensors. The sensor integrated microprocessor can learn, judge, and process signals; its ability determines that the intelligent sensor also has higher precision and resolution, higher stability and reliability, and better adaptability |
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |