Design Automation of Power Electronic Converters a Grid Elitist Multiobjective Genetic Algorithm
Design Automation of Power Electronic Converters a Grid Elitist Multiobjective Genetic Algorithm
复制标题
电力电子变换器的设计自动化网格精英多目标遗传算法
DOI：
10.1109/apec39645.2020.9124359
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发表时间：
2020
期刊：
影响因子：
--
通讯作者：
S. Mariéthoz
中科院分区：
文献类型：
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作者：
Timothé Delaforge;S. Mariéthoz
电力电子设计自动化是一种使用优化算法的方法，该算法选择最佳参数和组件，以最低的价格实现最高的功率密度和效率。本文提出了一种基于 MATLAB 的电力电子转换器设计自动化工具。它采用电网精英多目标遗传算法来实现功率转换器的优化设计。它使用半导体、散热器、电容器、磁性材料、磁芯、AWG 电线、栅极驱动器、信号隔离器的现有组件库来为模型提供数据。优化的输出是帕累托，即考虑众多约束的多个目标之间的最佳权衡，例如EMC 标准、组件热限制、可用体积。设计人员最终可以在所有最佳解决方案中选择一个可行的解决方案，其中每个解决方案都是一份物料清单。这大大缩短了上市时间。文末介绍了该平台自动设计工业产品的成功案例。
Power Electronic Design Automation is a methodology using optimization algorithms that selects optimal parameters and components achieving the highest power densities and efficiencies for the lowest prices. The paper presents a MATLAB based tool for design automation of power electronic converter. It implements a grid elitist multiobjective genetic algorithm to achieve optimal design of power converters. It uses libraries of existing components for semiconductors, heat-sinks, capacitors, magnetic materials, magnetic cores, AWG wires, gate drivers, signal isolator to feed the models. The output of the optimization is a Pareto, best tradeoff between several objectives respecting numerous constraints, e.g. EMC standards, thermal limits of components, available volume. The designer can finally pickup a feasible solution among all the optimal ones where each solution is a bill of materials. This reduces dramatically the time to market. Success stories of industrial products automatically designed by the platform are presented at the end of the paper.