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Improved thermoelectric maximum power tracking method and system based on particle swarm optimization

A technology of maximum power tracking and particle swarm algorithm, applied in control/regulating systems, adjusting electrical variables, instruments, etc., can solve the problems of local power maximum value, low power generation efficiency, etc., to improve efficiency, reduce convergence time, avoid The effect of a full range scan

Inactive Publication Date: 2022-03-11
WUHAN UNIV OF TECH
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Problems solved by technology

[0005] The purpose of the present invention is to provide an improved thermoelectric maximum power tracking method and system based on the particle swarm algorithm, which solves the problem that the existing maximum power point tracking algorithm is easy to fall into a local maximum power when the thermoelectric power generation module has a non-uniform temperature difference distribution. The value causes the problem of low power generation efficiency

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  • Improved thermoelectric maximum power tracking method and system based on particle swarm optimization
  • Improved thermoelectric maximum power tracking method and system based on particle swarm optimization
  • Improved thermoelectric maximum power tracking method and system based on particle swarm optimization

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Embodiment 1

[0123] An improved thermoelectric maximum power tracking method and system based on a particle swarm algorithm, the method comprising the following steps:

[0124] Step 1: Utilize Simulation Software Matrix Factory (Matlab) Build the overall thermoelectric power generation system model;

[0125] Step 1.1: Determine the thermoelectric unit TEG electrical characteristics;

[0126] In steady state, the thermoelectric unit TEG Electrical modeling can be done with a constant voltage source and a series resistance;

[0127] Electromotive force of a constant voltage source V OC The calculation formula is:

[0128] V OC =α np ×（T h -T c ）=α np ×ΔT

[0129] In the formula: α np is the Seebeck coefficient of the material, T h , T c are the hot and cold side temperatures, ΔT is the temperature difference between the hot and cold sides.

[0130] In fact, the Seebeck coefficient will vary with the average temperature, and the specific mathematical relationshi...

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Abstract

The invention discloses an improved thermoelectric maximum power tracking method and system based on a particle swarm algorithm, and solves the problem that the existing maximum power point tracking algorithm is easy to fall into a local power maximum value to cause low power generation efficiency when non-uniform temperature difference distribution occurs in a thermoelectric power generation module. The thermoelectric maximum power tracking problem of the thermoelectric power generation module under non-uniform temperature difference distribution is solved by setting elimination conditions, and falling into a local maximum power point is avoided. Unnecessary full-range scanning is avoided by setting an iteration termination condition, and the efficiency of the whole system is improved. The problem of steady-state oscillation in the particle swarm algorithm is solved by setting the restart condition, and the energy loss is reduced.

Description

technical field [0001] The invention relates to the technical field of thermoelectric power generation, in particular to an improved thermoelectric maximum power tracking method and system based on particle swarm algorithm. Background technique [0002] In recent years, the energy crisis has become increasingly serious and traditional fossil fuels will bring huge pollution to the environment. People have begun to pay attention to new energy sources such as solar energy, wind energy, water energy, geothermal energy, wave energy, tidal energy, and biomass energy. The utilization rate of new energy is low, and most of the energy is discharged into the atmosphere in the form of waste heat. How to effectively utilize the energy in waste heat has become an important research direction in the field of new energy power generation. [0003] Thermoelectric generators can effectively utilize waste heat for green power generation, and use the Seebeck effect to convert heat energy into ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05F1/67
CPCG05F1/67
Inventor 谢长君陈逸峰朱文超杨扬石英李维波黄亮
Owner WUHAN UNIV OF TECH
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