| With the continuous development of the Internet of Things(Io T),the number of sensor nodes located in the Io T terminals is increasing,the distribution area is becoming wider,and the distribution environment is becoming more complex.The problem of energy supply to these terminal sensors is receiving increasing attention.Triboelectric nanogenerator based on the coupling of the triboelectricity and electrostatic induction can be a potential solution for collecting mechanical energy from the environment and providing independent power to terminal sensor nodes.Triboelectric nanogenerator,which have the advantages of low cost and high instantaneous output,have also become a research focus for promoting self-powered,distributed independent power sources for sensing systems.Currently,the traditional design methods of triboelectric nanogenerators mainly rely on analytical derivation,repetitive testing,and reproduction,and does not actually have a low-cost,universal,and reliable automated design method.The difficulty of device design optimization has also prolonged the research and development process,hindering the further development of practical applications of triboelectric nanogenerators.Based on the aforementioned design requirements for triboelectric nanogenerator,this thesis conducts the following research:(1)The basic fabrication process of triboelectric nanogenerator was discussed.It has been developed a universal process method for fabricating triboelectric nanogenerator that can be used for various working modes.This method involves CAD graphic design,PCB electrode generation,and fabrication using a public PCB manufacturing platform.This method excels in delivering both high precision and meeting diverse design and manufacturing requirements.(2)An entire automated optimization design platform was built.Non-dominated Sorting Genetic Algorithm II(NSGA-II)was used as the main algorithm,and the platform also utilized finite element simulation and equivalent circuit simulation.Calculate the fitness function of individual triboelectric nanogenerator,and the sorted,crossover and mutation selection were used for generational optimization.Finally,after 300 generations,the platform was able to converge to the Pareto frontier,and obtain a structural population with relatively balanced output power and matching point performance.(3)Multidimensional simulation calculation acceleration was achieved in the automated design.In the finite element simulation section,the freestanding rotational TENG simplified model of electrode thickness and periodic geometry is established,and the ultra-low sampling rate is used to fit and interpolate to accelerate the calculation.In the calculation platform section,parallel computational acceleration is achieved using parallel computing and decoupled computing.Ultimately,tens of thousands of times of computational acceleration were achieved in automated design.(4)A self-powered environmental monitoring system based on the independently freestanding rotational TENG as the sole energy source was built,along with relevant verification experiments.In the verification experiment section,the comparison between the simulation results of single individual output and the experimental results was achieved,as well as the simulation of the optimization results is compared with the normalization of the relative output of multiple individuals in the experiment.The cosine similarity of the single individual result vector reached 99%,and the relative output of multiple individuals was consistent,which proved the effectiveness of the simulation optimization method.Additionally,a self-powered wireless multi-parameter environmental temperature,humidity,and UV intensity sensing system was built,using the independently designed freestanding rotational TENG as the sole energy source,STM32 as the main control module,and bluetooth as the basic transmission method.The system can complete environmental state monitoring in about 7 seconds. |
PDF Full Text Request