Driving Behavior Monitoring Method And Experimental Research Based On Triboelectric Nanogenerator

The increasing number of motor vehicles makes the road driving environment more complex,which increases the probability of traffic accidents to a certain extent.Human factors are an important cause of road traffic accidents,which mainly include two types of dangerous driving behaviors: fatigue driving and bad driving habits.Therefore,effective monitoring and early warning for these behaviors have become more and more important.The traditional vehicle-mounted sensors currently used for monitoring have high maintenance costs and require external power supply,which brings great inconvenience to ensuring their continuous and stable operation.an important way of crisis.Triboelectric nanogenerators can convert environmental mechanical energy into electrical energy.Since its output signal is obviously affected by the environment,it can also be used as a new type of sensing method.In this paper,the driving behavior monitoring method based on triboelectric nanogenerators is explored and experimentally studied.A triboelectric driving habit monitor and a triboelectric fatigue driving monitor are designed.According to the characteristic analysis of the output signal,the driving habit analysis and the early warning of the fatigue state are realized.The main research contents are as follows:Firstly,the basic principle and electrical characteristics of triboelectric nanogenerators are expounded,the theoretical model and load characteristics of independent layer mode generators are analyzed,and the effect of charge distribution and mechanical operation state on output performance is verified.Secondly,based on statics analysis and electrical simulation,combined with the motion characteristics of the driver’s feet and hands when driving,by analyzing the input parameters such as external excitation frequency,excitation method,excitation amplitude,and the structure and material of the transmission element and power generation unit,etc.According to the relationship between the parameters,a design method combining the bidirectional gear transmission structure and the three-phase dislocation electrode structure is proposed,and the design of the triboelectric driving habit monitor and the triboelectric fatigue driving monitor is carried out.According to the proposed design method,a triboelectric vehicle driving habit monitor is developed based on foot pedal motion.Experiments show that the electric energy generated under low-frequency bidirectional equidistant excitation is twice that of unidirectional excitation,proving the entire stroke energy harvesting capability of the monitor.By performing a series of signal processing on the pedal output signals of multiple drivers during simulated driving in different road sections,the frequency and times of pedaling by different people can be obtained to comprehensively analyze different driving habits.On the other hand,based on the hand motion of turning the steering wheel,a triboelectric self-driven fatigue driving monitor was designed and mounted on the steering rod.The following signal processing unit analyzes the number of steering wheel rotations,average angle,and other parameters of the driver,and determines the alarm thresholds of various parameters accordingly.The results of multiple verification tests show that the overall accuracy rate of the system for judging the fatigue level reaches 87.63%.The triboelectric driving behavior monitor overcomes the problems of complicated wiring and the need for additional battery power in the current traditional driving monitoring sensors.It greatly improves the accuracy of driving monitoring information and the types of information provided,enriches traffic information,and broadens the breadth of the scope of the collection,showing the important application potential of the research content in the fields of traffic safety and intelligent driving,and provides information for intelligent traffic information.Monitoring research provides new ideas.