TY - GEN
T1 - Study on the Extraction of Key Thermophysical Parameters and the Establishment of Simulation Models for Thermoelectric Coolers
AU - Shao, Shuaiyue
AU - Wang, Wei
AU - Liu, Wenlong
AU - Wang, Hejia
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - As the demand for heat dissipation in electronic devices continues to increase, Thermoelectric Coolers (TECs) have significant application potential. Due to the differences between the theoretical properties of materials and their actual properties in practical applications, accurate parameter extraction is crucial for improving thermal simulations. This study employs a steady-state method to design experiments for extracting the thermoelectric parameters of TECs. Three model identification methods are compared for extracting parameters such as the Seebeck coefficient, electrical conductivity, and thermal conductivity. The results show that the BR method provides the most accurate parameter extraction, with a steady-state equation calculation error of less than 1.379%. The extracted parameters were validated for their accuracy under both steady-state and transient conditions through experiments and three-dimensional numerical analysis models established in COMSOL simulation software. The simulation model results with parameters extracted using the method in this paper show an error of less than 2.06%, and transient simulation results also accurately reflect the thermoelectric cooling characteristics. This research contributes to the design of TECs with higher Coefficient of Performance (COP), addressing overheating issues and reducing energy consumption in electronic devices.
AB - As the demand for heat dissipation in electronic devices continues to increase, Thermoelectric Coolers (TECs) have significant application potential. Due to the differences between the theoretical properties of materials and their actual properties in practical applications, accurate parameter extraction is crucial for improving thermal simulations. This study employs a steady-state method to design experiments for extracting the thermoelectric parameters of TECs. Three model identification methods are compared for extracting parameters such as the Seebeck coefficient, electrical conductivity, and thermal conductivity. The results show that the BR method provides the most accurate parameter extraction, with a steady-state equation calculation error of less than 1.379%. The extracted parameters were validated for their accuracy under both steady-state and transient conditions through experiments and three-dimensional numerical analysis models established in COMSOL simulation software. The simulation model results with parameters extracted using the method in this paper show an error of less than 2.06%, and transient simulation results also accurately reflect the thermoelectric cooling characteristics. This research contributes to the design of TECs with higher Coefficient of Performance (COP), addressing overheating issues and reducing energy consumption in electronic devices.
KW - Bayesian Regression
KW - Experimental Research
KW - Parameter Identification
KW - Thermoelectric Coolers
UR - https://www.scopus.com/pages/publications/105031101038
U2 - 10.1109/ICEEPS66790.2025.11239610
DO - 10.1109/ICEEPS66790.2025.11239610
M3 - Conference contribution
AN - SCOPUS:105031101038
T3 - 2025 4th International Conference on Energy and Electrical Power Systems, ICEEPS 2025
SP - 879
EP - 883
BT - 2025 4th International Conference on Energy and Electrical Power Systems, ICEEPS 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th International Conference on Energy and Electrical Power Systems, ICEEPS 2025
Y2 - 17 July 2025 through 19 July 2025
ER -