基于电热约束映射的MCPM布局优化热失控缓解

Quang Le, M. Hossain, Tristan M. Evans, Yarui Peng, H. Mantooth
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引用次数: 1

摘要

随着电力电子封装技术的发展,许多关于mcpm布局设计自动化的研究进一步推动了其功率密度和紧凑性的设计极限。在这些研究中,PowerSynth展示了mcpm的完整设计流程,提供了一种多目标布局优化算法和用于电寄生提取和热评估的降阶模型。虽然这些模型是准确的,但在布局优化过程中,电寄生与器件温度之间没有联系。因此,多目标优化算法分别对这些目标进行优化,而不考虑它们对宽带隙(WBG)器件可靠性和性能的影响。与WBG器件的安全操作区域(SOA)相比,这种限制可能导致布局解决方案具有不理想的性能。因此,本研究将基于WBG物理的器件知识整合到功率损耗计算中,以便在PowerSynth中进行更准确的电热预测。然后就可以做出更好的决定,选择最合适的热管理系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Thermal Runaway Mitigation through Electrothermal Constraints Mapping for MCPM Layout Optimization
Along with the developments in power electronic packaging technology, many studies on design automation for MCPMs layout further push the design limits for their power density and compactness. Among these studies, PowerSynth has shown the complete design flow for MCPMs, which offers a multiobjective layout optimization algorithm and reduced-order models for electrical parasitic extraction and thermal evaluation. While these models are accurate, there is no connection between the electrical parasitic and device temperature during the layout optimization process. Hence, the multi-objective optimization algorithm optimizes these objectives separately without insights into their impacts on the reliability and performance of the wide bandgap (WBG) device. This limitation can lead to a layout solution with undesirable performance compared to the WBG device’s safe operation area (SOA). Therefore, this work incorporates the WBG physics-based device knowledge into the power loss calculation for a more accurate electro-thermal prediction in PowerSynth. A better decision can then be made on the most suitable thermal management system.
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