Theoretical and experimental research on control strategy of maximum power point tracking for monolayer thermoelectric generator considering the degree of disturbance

Abstract

In this paper, the simulation model of thermoelectric generator and maximum power point tracking control (MPPT) DC/DC circuit is set up from the theory and mathematical formula. On this basis, this paper completes the maximum power point tracking control by observation and disturbance method, constant voltage method, pure fuzzy control, constant voltage method combined with PI control and constant voltage method combined with single neuron PI control. In this paper, the above five methods are firstly simulated and compared. The maximum power point tracking accuracy and corresponding time of constant voltage method combined with PI control and constant voltage method combined with single neuron PI control are the best, and these two methods are selected for subsequent experimental verification in this paper. The intelligent control algorithm of constant voltage method combined with single neuron PI control has high maximum power point tracking accuracy, and can greatly reduce the disturbance degree of output power. The experimental tracking accuracy of the control strategy studied in this paper is between 99.3% and 99.4%. The experimental, simulation and theoretical results of the thermoelectric generator and its maximum power point tracking control algorithm in this paper are highly consistent, which can prove the rationality and correctness of the research in this paper.

Keywords

• Thermoelectric generator
• Maximum power point tracking
• Waste heat recovery
• Theoretical model
• Experimental verification