Model Order Reduction for Thermal Analysis of Wireless Power Transfer Systems Considering Radiation

Tiemann, Myrel; Clemens, Markus; Schmuelling, Benedikt

doi:10.1109/compumag55718.2022.9827513

Cited by 4 publications

(6 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The displayed soda has the same size as a common 0.33 l soda can, and it is made of an aluminum alloy with a specific heat capacity 875 Jkg À1 K À1 . The magneto-thermal full coupled field dynamic simulation is based upon other research work (Alsayegh et al, 2019;Tiemann et al, 2022). Based on those publications, the thermal boundaries are determined, therefore, the contact conductance between the different materials of the WPT model shown in Figure 2.…”

Section: Thermal Analysismentioning

confidence: 99%

“…The magneto-thermal full coupled field dynamic simulation is based upon other research work (Alsayegh et al , 2019; Tiemann et al , 2022). Based on those publications, the thermal boundaries are determined, therefore, the contact conductance between the different materials of the WPT model shown in Figure 2.…”

Section: Simulation Model and Materials Propertiesmentioning

confidence: 99%

“…With regard to radiation, it can be broken down into radiation to ambient and surface-to-surface radiation, the latter of which allows for the thermal coupling of the reduced WPT modules. As shown in Tiemann et al (2022), this net rate of radiated heat flow _ Q net from a body with temperature T b is described by _…”

Section: Model Order Reductionmentioning

confidence: 99%

“…Arnoldi method is shown to be much more computationally cheaper than proper orthogonal decomposition technique for different simulation problems (Willcox et al , 2002; Bechtold et al , 2017; Hasan et al , 2016) Based on that, the use of Arnoldi-Krylov-based MOR is justified and chosen for the following analyses. Because the FEM simulations were conducted using ANSYS Workbench and ANSYS Electronic Desktop, the tool MORACT ( Model Order Reduction Application Customization Toolkit ) (CADFEM, 2020; Rudnyi and Korvink, 2004), which implements Arnoldi-Krylov-based method in ANSYS, was used to generate the reduced models of the GA and VA modules separately as suggested by Tiemann et al (2022). This approach is intentional because it allows for greater flexibility in creating system-level simulations that combine different GA and VA modules, resulting in various WPT systems and enabling interoperability analyses.…”

Section: Model Order Reductionmentioning

confidence: 99%

“…whether it was flush with the road or at some distance below it; in this case, the surface temperature of the pad was higher. In other research (Alsayegh et al , 2019; Tiemann et al , 2022), the thermal behavior of a WPT system and the impact of the frequency of operation on the overall power transfer efficiency were examined. A module for determining the system parts losses was implemented to enable modular fast use in subsequent design improvement processes.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Thermal analysis for foreign objects in high-power wireless power transfer systems

Tiemann,

Clemens,

Schmuelling

2023

COMPEL

Self Cite

View full text Add to dashboard Cite

Purpose This paper aims to present a fast and modular framework implementation for the thermal analyses of foreign metal objects in the context of wireless power transfer (WPT) to evaluate whether they pose a hazard to the system. This framework serves as a decision-making tool for determining the necessity of foreign object detection in certain applications and at certain transmitted power levels. Design/methodology/approach To assess the necessity of implementing foreign object detection, the considered WPT system is modeled, and Arnoldi-Krylov-based model order reduction is applied to generate separate reduced models of the ground and vehicle modules of the WPT system. This enables interoperable evaluations to be conducted. Further discussion on the implementation details of the system-level simulations used to evaluate the electrical and thermal characteristics is provided. The resulting modular implementation allows for efficient evaluation of the thermal behavior of the wireless charging system at various transferred power levels and under various boundary conditions. Findings Based on the transferred power level, the WPT model, the relative positioning between the vehicle and the charging pad and the charging time, it may be necessary to divide the area of the charging pad into multiple regions for the purpose of implementing foreign object detection. Originality/value While the tools and fundamentals of thermal analysis are widely known and used, their application to high-power WPT systems for electric vehicles has not yet been thoroughly discussed in this form in the literature. The approach presented in this paper is not limited to the specific WPT model discussed but rather is directly applicable to other WPT models as well.

show abstract

Section: Thermal Analysismentioning

confidence: 99%

Section: Simulation Model and Materials Propertiesmentioning

confidence: 99%

Section: Model Order Reductionmentioning

confidence: 99%