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Reliability-Oriented Automated Design of Double-Sided Cooling Power Module: A Thermo-Mechanical-Coordinated and Multi-Objective-Oriented Optimization Methodology

机译:以可靠性为导向的双面冷却功率模块自动设计:热机械协调和多目标导向的优化方法

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摘要

Compared with the traditional single-sided cooling (SSC) power module, owing to the decreased thermal resistance and packaging parasitics, the double-sided cooling (DSC) power module is a promising solution of the motor drive for electric vehicle (EV) implementation. However, the lack of the model to characterize the thermo-mechanical interaction mechanism in the DSC power module challenges the co-design methodology of the power module from the respective of multi-physics. In this paper, aiming at reliability improvement, to balance the tradeoff between thermal resistance and mechanical stress, a multi-objective-coordinated automated design methodology is proposed for the DSC power module. To characterize the influences of material properties and structure sizes, the mathematical models for the thermal and mechanical features of the DSC power module are proposed. These models are also examined by using the finite element analysis (FEA) tool. Besides, to promote the specifications of DSC power module, a multi-objective optimization model is proposed to coordinate thermo-mechanical metrics in multi-physics. The non-dominated sorting genetic algorithm II (NSGA-II) is implemented to automatically achieve the Pareto solutions of the proposed multi-objective optimization model with respect to thermal resistance and mechanical stress. Considering the influences of material properties, optimal structure sizes of the DSC power module are comprehensively presented. The proposed multi-objective-oriented optimization methodology provides a new routine to reshape the thermo-mechanical performance of the next-generation DSC power module toward more reliable EV implementation.
机译:与传统的单面冷却(SSC)电源模块相比,由于耐热性和包装寄生酶降低,双面冷却(DSC)电源模块是电动汽车(EV)实施的电机驱动的有希望的解决方案。然而,缺乏模型来表征DSC电源模块中的热机械相互作用机制挑战电力模块的共设计方法从各个物理学的各个电源模块。本文针对可靠性改进,为了平衡热阻和机械应力之间的折衷,提出了一种用于DSC电源模块的多目标协调的自动化设计方法。为了表征材料性能和结构尺寸的影响,提出了DSC电源模块的热和机械特征的数学模型。还通过使用有限元分析(FEA)工具检查这些模型。此外,为了推广DSC电源模块的规格,提出了一种多目标优化模型,以协调多物理的热机械指标。实施非主导的分类遗传算法II(NSGA-II)以基于热阻和机械应力自动实现所提出的多目标优化模型的Pareto解。考虑到材料特性的影响,综合地呈现了DSC电源模块的最佳结构尺寸。提出的多目标导向优化方法提供了一种新的例程,可以重塑下一代DSC电源模块的热电机能性能,以更可靠的EV实现。

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