TY - GEN
T1 - Optimal sensor placement methods for active power electronic systems
AU - Peddada, Satya R.T.
AU - Tannous, Pamela J.
AU - Alleyne, Andrew G.
AU - Allison, James T.
N1 - Funding Information:
This material is based upon the work supported by National Science Foundation Engineering Research Center for Power Optimization of Electro-Thermal Systems (POETS) with cooperative agreement EEC-1449548. The authors would like to acknowledge Thomas Foulkes and Dr. Robert Pilawa for providing the thermal data related to the GaN-based inverter, as well as Daniel Herber and Danny Lohan, members of the Engineering Systems Design Laboratory at University of Illinois-Urbana Champaign, for their constructive engagement with this work.
Publisher Copyright:
© Copyright 2017 ASME.
PY - 2017
Y1 - 2017
N2 - Accurate temperature estimation of high density active power electronic systems is vital for dynamic thermal management. Accurate and reliable estimation is especially important in regions that are close to failure, either due to high temperature or significant materials or component sensitivity. Improved estimation can support lower safety factors and enhanced system performance. An investigation of optimal temperature sensor placement methods is presented here, focusing primarily on methods utilizing information-based metrics. In addition, physics-based metrics are explored in an initial study that may have the potential to be more closely aligned with overall system utility. Studies are based on a 2 kW, single-phase, seven-level, GaN-based inverter. A lumped-parameter reduced-order thermal model, developed in previous work, is used for real-time temperature estimation. A continuous relaxation of a 2D placement domain led to a novel linear programming formulation that supports solution of finely-discretized sensor placement problems with minimal computational expense. Improved sensor placement performance metrics account for multiple loading conditions and estimation accuracy with respect to failure prevention.
AB - Accurate temperature estimation of high density active power electronic systems is vital for dynamic thermal management. Accurate and reliable estimation is especially important in regions that are close to failure, either due to high temperature or significant materials or component sensitivity. Improved estimation can support lower safety factors and enhanced system performance. An investigation of optimal temperature sensor placement methods is presented here, focusing primarily on methods utilizing information-based metrics. In addition, physics-based metrics are explored in an initial study that may have the potential to be more closely aligned with overall system utility. Studies are based on a 2 kW, single-phase, seven-level, GaN-based inverter. A lumped-parameter reduced-order thermal model, developed in previous work, is used for real-time temperature estimation. A continuous relaxation of a 2D placement domain led to a novel linear programming formulation that supports solution of finely-discretized sensor placement problems with minimal computational expense. Improved sensor placement performance metrics account for multiple loading conditions and estimation accuracy with respect to failure prevention.
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U2 - 10.1115/DETC2017-68253
DO - 10.1115/DETC2017-68253
M3 - Conference contribution
AN - SCOPUS:85034738141
T3 - Proceedings of the ASME Design Engineering Technical Conference
BT - 43rd Design Automation Conference
PB - American Society of Mechanical Engineers (ASME)
T2 - ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2017
Y2 - 6 August 2017 through 9 August 2017
ER -