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김새봄(Saebom Kim),백찬호(Chanho Baek),유석현(Seokhyun Yu) 한국자동차공학회 2022 한국자동차공학회 학술대회 및 전시회 Vol.2022 No.11
In general, motor design optimization is required the basic design and optimization process is based on the selected design factor by engineer. There are several problems with this method. First, the optimization result depends on the initial design, so if the basic design is not proper, the results cannot be optimal design. Second, the know-how of the designer is the most important factor. so it is difficult for the engineer who lacks motor design experience to design the motor from the beginning. In this paper, suggested method allows engineer to design easily with integrating the basic design stage and the optimization stage. This paper intends to present a method using a genetic algorithm with deep learning method.