电能路由器设计自动化综述—设计流程架构和遗传算法

doi:10.19595/j.cnki.1000-6753.tces.191022

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Abstract Electrical energy routers are promising in energy Internet, ubiquitous electric Internet of Things and other scenarios, and have the features of multi-cascade, multi-port, multi-flow, and multi-modal. These features bring many difficulties to traditional manual design. Design automation for power electronics is expected to overcome the challenges such as difficulty in weighing design objectives, wasting costs on marginal design, time-consuming and labor in hardware iterations, and low degree of design automation. With the rapid development of wide bandgap devices, rapid iteration of computer performance, and extension and refinement of converter application scenarios, design automation for power electronics is expected to achieve design integration, refinement and rapidity. The electrical energy router design problem can be abstracted as a multidisciplinary optimization problem with poor mathematical nature and large scale. Regarding such optimization problems, genetic algorithms have better performance than the traditional optimization algorithms. Based on a systematic summary of the current mainstream design workflow and design software architecture, this paper analyzes the applicability of genetic algorithms to solve design automation problems of power electronics, summarizes the potential problems and challenges in design automation for electrical energy routers, and gives corresponding suggestions.

Key words： Design automation for power electronics electrical energy router design workflow design software optimization genetic algorithm

Received: 11 August 2019

PACS:	TM46
	TP301

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	Yuan Liqiang
	Lu Zixian
	Sun Jianning
	Duan Renzhi
	Zhao Zhengming

Cite this article:

Yuan Liqiang,Lu Zixian,Sun Jianning等. Design Automation for Electrical Energy Router-Design Workflow Framework and Genetic Algorithm: a Review[J]. Transactions of China Electrotechnical Society, 2020, 35(18): 3878-3893.

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