Increasing the efficiency and density of power electronic systems (PESs) is an important objective for many high-impact applications, such as electric vehicle charging and aircraft electrification. Due to compactness and high heat dissipation, careful thermal monitoring of such PESs is required. Strategic placement of temperature sensors can improve the accuracy of real-time temperature distribution estimates. Enhanced temperature estimation supports increased power throughput and density because PESs can be operated in a less conservative manner while still preventing thermal failure. This article presents new methods for temperature sensor placement for 2- A nd 3-dimensional PESs that (1) improve computational efficiency (by orders of magnitude in at least one case), (2) support the use of more accurate evaluation metrics, and (3) are scalable to high-dimension sensor placement problems. These methods are tested via sensor placement studies based on a single-phase flying capacitor multi-level (FCML) prototype inverter. Information-based metrics are derived from a resistance-capacitance (RC) lumped parameter thermal model. Other more general metrics and system models are possible through the application of a new continuous relaxation strategy introduced here for placement representation. A new linear programming (LP) formulation is presented that is compatible with a particular type of information-based metric. This LP strategy is demonstrated to support an efficient solution of finely discretized large-scale placement problems. The optimal sensor locations obtained from these methods were tested via physical experiments. The new methods and results presented here may aid the development of thermally aware PESs with significantly enhanced capabilities.
|Original language||English (US)|
|Journal||Journal of Mechanical Design, Transactions of the ASME|
|State||Published - Feb 1 2020|
Bibliographical noteFunding Information:
This work was supported by the National Science Foundation Engineering Research Center for Power Optimization of ElectroThermal Systems (POETS) with cooperative agreement EEC-1449548. The authors also sincerely thank Dr. Robert Pilawa Podgurski, Derek Chou, and Thomas Foulkes from the University of California, Berkley, and the University of Illinois for providing the thermal data related to the FCML inverter. The authors would also like to acknowledge the support provided by Dr. Daniel Herber, a postdoctoral research fellow within the Engineering Systems Design Laboratory at the University of Illinois at Urbana-Champaign.
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- Design automation
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