Modeling and Extraction of Parasitic Thermal Conductance and Intrinsic Model Parameters of Thermoelectric Modules

Sim, Minseob; Park, Hyunbin; Kim, Shiho

doi:10.1007/s11664-015-3985-0

Cited by 3 publications

(3 citation statements)

References 13 publications

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“…Since the intrinsic parameters and parasitic parameter K c are recursively related and K c is difficult to measure, they can only be obtained by iterative calculations 20 .…”

Section: Methodsmentioning

confidence: 99%

“…Furthermore, M Sim et al . presented both modelling and a method for extracting the parasitic thermal conductance and intrinsic parameters of TEMs based on information readily available from vendor datasheets 20 . The results of the containing parasitic thermal conductance K c model are comparable with the vendor data within the current range of 1.36 A to 3.4 A, and the model does not describe the relationship between the intrinsic parameters and the parasitic thermal conductance.…”

Section: Introductionmentioning

confidence: 99%

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Equivalent model optimization with cyclic correction approximation method considering parasitic effect for thermoelectric coolers

Wang

Chen

Zhang

et al. 2017

Sci Rep

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As thermoelectric coolers (TECs) have become highly integrated in high-heat-flux chips and high-power devices, the parasitic effect between component layers has become increasingly obvious. In this paper, a cyclic correction method for the TEC model is proposed using the equivalent parameters of the proposed simplified model, which were refined from the intrinsic parameters and parasitic thermal conductance. The results show that the simplified model agrees well with the data of a commercial TEC under different heat loads. Furthermore, the temperature difference of the simplified model is closer to the experimental data than the conventional model and the model containing parasitic thermal conductance at large heat loads. The average errors in the temperature difference between the proposed simplified model and the experimental data are no more than 1.6 K, and the error is only 0.13 K when the absorbed heat power Q c is equal to 80% of the maximum achievable absorbed heat power Q max. The proposed method and model provide a more accurate solution for integrated TECs that are small in size.

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“…Since the intrinsic parameters and parasitic parameter K c are recursively related and K c is difficult to measure, they can only be obtained by iterative calculations 20 .…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Equivalent model optimization with cyclic correction approximation method considering parasitic effect for thermoelectric coolers

Wang

Chen

Zhang

et al. 2017

Sci Rep

View full text Add to dashboard Cite

show abstract

“…Without such constrain, it is then possible to envisage impedance spectroscopy as an appropriate technique to perform in-situ characterization of thermoelectric modules, including determination of the thermal contact quality. Note that a method based on the dc contribution of R TE has already been proposed to evaluate thermal contact conductances [33].…”

Section: Comparison With Previous Modelsmentioning

confidence: 99%

Small-signal model for frequency analysis of thermoelectric systems

Apertet

Ouerdane

2017

Energy Conversion and Management

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We show how small-signal analysis, a standard method in electrical engineering, may be applied to thermoelectric device performance measurement by extending a dc model to the dynamical regime. We thus provide a physical ground to \textit{ad-hoc} models used to interpret impedance spectroscopy of thermoelectric elements from an electrical circuit equivalent for thermoelectric systems in the frequency domain. We particularly stress the importance of the finite thermal impedance of the thermal contacts between the thermoelectric system and the thermal reservoirs in the derivation of such models. The expression for the characteristic angular frequency of the thermoelectric system we obtain is a generalization of the expressions derived in previous studies. In particular, it allows to envisage impedance spectroscopy measurements beyond the restrictive case of adiabatic boundary conditions often difficult to achieve experimentally, and hence \emph{in-situ} characterization of thermoelectric generators

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Thermal resistance matching for thermoelectric cooling systems

Zhao

et al. 2018

Energy Conversion and Management

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Modeling and Extraction of Parasitic Thermal Conductance and Intrinsic Model Parameters of Thermoelectric Modules

Cited by 3 publications

References 13 publications

Equivalent model optimization with cyclic correction approximation method considering parasitic effect for thermoelectric coolers

Equivalent model optimization with cyclic correction approximation method considering parasitic effect for thermoelectric coolers

Small-signal model for frequency analysis of thermoelectric systems

Thermal resistance matching for thermoelectric cooling systems

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