Abstract:Traditionally the thermal behavior of power devices is characterized by temperature measurements at the junction and at accessible external points. In large modules composed of thin chips and materials of high thermal conductivity the shape and distribution of the heat trajectories are influenced by the external boundary represented by the cooling mount. This causes mediocre repeatability of the characteristic RthJC junction to case thermal resistance even in measurements at the same laboratory and causes very… Show more
“…For the system identification purposes, the time constant spectrum R (z) has to be computed from (5) given the function determining its right hand side, the measured transient response a(z). Mathematically, equation ( 5) is the most iconic example of an ill-posed problem, the Fredholm integral equation of the first kind.…”
Section: The Conventional Nid Methods and Its Limitationsmentioning
confidence: 99%
“…It should be clear that formally expressing the solution to (5) in the form (8) does not alleviate the ill-posed nature of the problem. Indeed, in the context of ( 8) the illposedness manifests itself through the fact, that owing to the smoothness of the convolution kernel (6) its Fourier transform appearing in the denominator of (8) will be diminishingly small for large frequencies Φ.…”
Section: B the Ill-posed Challenge Of The Nid Methodsmentioning
confidence: 99%
“…that is, in the standard ℓ 1 -regularized constrained least squares formulation of the equation (5). We note that one needs to seek R(•) in the space of measures to guarantee that the infimum in ( 9) is attained, which is of course consistent with (4).…”
Section: A Regularized Inversion In Time Domainmentioning
confidence: 99%
“…One of the important research perspectives is to investigate the thermal transient responses. The typical applications are such as to obtain the thermal model parameters [5], [6], identify the inner structure [7], [8], analyze failure modes non-destructively [9], and estimate the junction temperature [10]- [12].…”
Section: Introductionmentioning
confidence: 99%
“…method, the framework of the NID method has been successfully standardized in [17] and commercialized in [18]. The majority of publications about the NID method are focused on a variety of its applications [5], [6], [9], [10], [14]. The limitations or challenges of the method itself are rarely discussed.…”
<p>In this paper we propose a new evaluation method for revealing the inner structure information from the measurements of the thermal transient response of semiconductor devices. In contrast with the conventional methods based on the frequency domain deconvolution, the proposed method casts the problem as a regularized least squares problem for an integral equation directly in the time domain. The regularization is selected based on the knowledge of certain physical quantities involved in the measurement. We observe that the thermal time constant spectrum produced by the proposed method tends to have a better capability of identifying two adjacent parameters. With the benchmark of the true values of the thermal networks, the structure function of the proposed method reduces the relative error by an order of magnitude. A series of simulations based on different parameters and structures verify the viability and performance of the proposed method. A proof-of-concept experiment based on a commercial power semiconductor device also validates the effectiveness of the proposed method.</p>
“…For the system identification purposes, the time constant spectrum R (z) has to be computed from (5) given the function determining its right hand side, the measured transient response a(z). Mathematically, equation ( 5) is the most iconic example of an ill-posed problem, the Fredholm integral equation of the first kind.…”
Section: The Conventional Nid Methods and Its Limitationsmentioning
confidence: 99%
“…It should be clear that formally expressing the solution to (5) in the form (8) does not alleviate the ill-posed nature of the problem. Indeed, in the context of ( 8) the illposedness manifests itself through the fact, that owing to the smoothness of the convolution kernel (6) its Fourier transform appearing in the denominator of (8) will be diminishingly small for large frequencies Φ.…”
Section: B the Ill-posed Challenge Of The Nid Methodsmentioning
confidence: 99%
“…that is, in the standard ℓ 1 -regularized constrained least squares formulation of the equation (5). We note that one needs to seek R(•) in the space of measures to guarantee that the infimum in ( 9) is attained, which is of course consistent with (4).…”
Section: A Regularized Inversion In Time Domainmentioning
confidence: 99%
“…One of the important research perspectives is to investigate the thermal transient responses. The typical applications are such as to obtain the thermal model parameters [5], [6], identify the inner structure [7], [8], analyze failure modes non-destructively [9], and estimate the junction temperature [10]- [12].…”
Section: Introductionmentioning
confidence: 99%
“…method, the framework of the NID method has been successfully standardized in [17] and commercialized in [18]. The majority of publications about the NID method are focused on a variety of its applications [5], [6], [9], [10], [14]. The limitations or challenges of the method itself are rarely discussed.…”
<p>In this paper we propose a new evaluation method for revealing the inner structure information from the measurements of the thermal transient response of semiconductor devices. In contrast with the conventional methods based on the frequency domain deconvolution, the proposed method casts the problem as a regularized least squares problem for an integral equation directly in the time domain. The regularization is selected based on the knowledge of certain physical quantities involved in the measurement. We observe that the thermal time constant spectrum produced by the proposed method tends to have a better capability of identifying two adjacent parameters. With the benchmark of the true values of the thermal networks, the structure function of the proposed method reduces the relative error by an order of magnitude. A series of simulations based on different parameters and structures verify the viability and performance of the proposed method. A proof-of-concept experiment based on a commercial power semiconductor device also validates the effectiveness of the proposed method.</p>
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