A low coefficient of performance (COP) limits the development of thermoelectric (TE) systems in buildings. However, considering their good integration with solar systems and budling structures, there is good application potential for TE systems in buildings. In many previous works, control systems indeed help TE systems to improve their performance. Therefore, the objective of this work is to analyze and summarize key factors in the control process and control methods for designing and optimizing the control systems for TE systems in buildings. This work reviews relevant publications from 2000 to 2022 on control applications of TE systems in different fields and groups them into key factors and control methods. The analysis of the key factors indicates the power strength of Peltier cells, the number of working Peltier cells, the temperature difference between the cold and hot sides, and the temperature difference between the object side and the indoor space as significant factors. Additionally, the most relevant control methods for the operating voltage or current are also classified. It is crucial to appropriately adjust these key factors using suitable control methods to achieve improved COP. Regarding the control application of TE systems in buildings, this is an issue that has not been studied with specific attention. Therefore, the analysis of key factors and control methods is meaningful for control systems to improve the performance of TE systems in buildings, especially under dynamic operating conditions of the built environment. 

Thermoelectric system applications in buildings: A review of key factors and control methods

/pdf/method-for-modeling-dynamic-modes-of-nonlinear-control-d9bst554jx.pdf

Method for Modeling Dynamic Modes of Nonlinear Control Systems for Thermoelectric Modules

Design of a Small Temperature Control System Based on TEC

Aiming at the problems containing complex working conditions, modeling difficulties and long-time delay of thermoelectric cooler temperature control system, an improved ADRC control method combining ADRC and Smith predictor is proposed in this paper. ADRC deals with the disturbances and uncertain dynamics in the system, SP compensates the time delay to improve the control performance. Compared with the traditional PID controller, the proposed control method has faster response speed and stronger anti-disturbance ability, meanwhile, overcomes the dependence of Smith predictor on object parameters to a certain extent. Through simulation and experimental verification, a good control effect is obtained, which provides a positive guidance of the related application of thermoelectric cooler. 

Temperature Control System of Thermoelectric Cooler Based on Improved ADRC

Thermoelectric Cooler technology has been widely used in military and civilian refrigeration equipment.Based on theoretical analysis of Thermoelectric Cooler technology and process experimental studies,at the same time,through careful selection of refrigeration and control circuit design to achieve accurate temperature control for refrigeration,this essay aims to trial-produce a kind of device which is implemented on practical small-size clinical medical and household physical cooling device of semiconductor.

The research of thermoelectric cooler technology in clinical medical

thermoelectric cooler (TEC) is widely applied in temperature control areas. Traditional PID based temperature controller cannot reach a stable operation status. In this paper, a LADRC based TEC temperature control system is designed. Comparing with the PID based control process, the LADRC based one has a significant better dynamic tracking capacity to the external and internal disturbances. Moreover, since LADRC algorithm ignores the complex thermal conduction process of the system, the LADRC based control has a potential applicability in practical applications.

LADRC based TEC Temperature Control System

Thermoelectric Cooler (TEC) is widely applied in the field of temperature control. It has the advantages of non-pollution and high precision. A TEC temperature control system is designed in this paper. The simple mathematical model is established by theoretical analysis. The parameters of the mathematical model are identified by several improved PSO algorithms through the actual input and output values of the system. The incremental PID control parameters are designed on the basis of the mathematical model. Experiment results show that the mathematical model parameters of the system can be identified effectively by the PSO algorithms used in this paper. This method has high applicability due to it ignores the complex heat conduction process in the system. The incremental PID control system based on this model has less overshoot and good stability in practical application.

PSO Algorithm Based Thermoelectric Cooler Temperature Control System Design

Measurement and analysis of the basic physical properties for a thermoelectric module (TEM) is important to design a high-performance TEC (thermoelectric cooler) system. A thermal balance equation based method is proposed to determine the figure of merit, electrical resistance, and maximum temperature difference of a TEM. A STM32 based measuring device is designed and operated at the room-temperature. It is found that the maximum measuring relative error is about 3%. The design provides potential to manufacture a high repeatability and stability measuring device for TEM.

A device design method for measuring the basic physical properties of thermoelectric module

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LADRC based TEC Temperature Control System

PSO Algorithm Based Thermoelectric Cooler Temperature Control System Design

A device design method for measuring the basic physical properties of thermoelectric module