Research On Response Characteristics And Power Tracking Of Thermogenerator Under Dynamic Heat Source

As a kind of clean energy technology,thermoelectric power generation can convert waste thermal energy into electric energy,without movement,pollution,and noise during the working process.It can be applied to various fields such as transportation,military,aerospace,and has important academic significance and engineering application value.This article has carried out researches on the working principle,numerical model,response characteristics under the excitation of the dynamic heat source,energy recovery system and maximum power point tracking strategy of the thermoelectric generator.The main research work and the obtained results are as follows.(1)The research background,development and research status of energy recovery of thermoelectric generators are reviewed.The research points are proposed on the basis of the summarized research gaps.The working mechanism of the thermoelectric generator is sorted out,the energy conversion process of the thermoelectric generator from heat to electricity is deduced,and the corresponding mathematical model is established.(2)The output performance of thermoelectric generator under constant heat source and dynamic heat source is simulated by finite element software.The response characteristics of thermoelectric generator under different heat sources are analyzed,and the mechanism of maximum power point drift are explored.The study found that under the excitation of the dynamic heat source,the temperature distribution of the thermoelectric legs on the same section of the thermoelectric generator is more uneven,and the overall output is reduced.However,the output characteristics of the device keep constant when the heat source changes.Under the excitation of different heat sources,the change trend of the thermoelectric generator output performance is the same.(3)Considering that the parameters of the thermoelectric generator are affected by external factors such as temperature difference changes,an adaptive fuzzy control strategy optimized by particle swarm optimization is proposed with the purpose of being able to continuously output the maximum power.The fuzzy control rules are established,and the membership function parameters of the adaptive fuzzy control are optimized by the particle swarm algorithm.The circuit model is built in Matlab/Simulink and the component parameters of the energy recovery circuit are improved.The simulation results show that the proposed maximum power point tracking control strategy for thermoelectric generator energy recovery has excellent tracking effects under both dynamic and steady-state conditions.(4)The test platform for response characteristics of thermoelectric generators is established.The response performance test of the thermoelectric generator has been completed,and the reliability of the conclusions obtained is verified by comparing the test results with the simulation results.The digital control system of thermoelectric generator with TMS320F28335 as the core was developed,and the control process of energy recovery of thermoelectric generator including main program and interrupt subroutine was designed.The test results show that the proposed control strategy has excellent dynamic and steady-state performance in actual work.