{"title":"Design of a Lightweight Model for the Battery Carrier of a Commercial Large Electric Truck Using the Response Surface Method","authors":"Soon-Jae Hwang, Min-Seong Oh, Ou-Chul Sul, Mun-Gyu Yoo, Young-Gu Chung, Seok-moo Hong","doi":"10.7735/ksmte.2023.32.5.283","DOIUrl":null,"url":null,"abstract":"This study optimized the shape of the battery carrier to reduce weight in response to the increasing battery capacity required for commercial hydrogen electric heavy trucks. The Response Surface Method (RSM) was utilized to optimize the frame design while maintaining the same stress level as the conventional frame model. An optimal design was realized by substitute the material of battery frame from steel to aluminum and in addition reinforcing it with glass fiber sheet molding compounds (GF-SMC). Four design variables were identified to adjust the frame thickness to reduce the frame weight. The objective function was set as minimizing the weight of the battery carrier while maintaining stress levels equivalent to the conventional frame model using steel. The predicting accuracy from RSM shows a good result as 98%. Consequently, the proposed model achieved a weight reduction of 29.7% compared to the conventional model at the same stress level.","PeriodicalId":487533,"journal":{"name":"한국생산제조학회지","volume":"60 10","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"한국생산제조학회지","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7735/ksmte.2023.32.5.283","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This study optimized the shape of the battery carrier to reduce weight in response to the increasing battery capacity required for commercial hydrogen electric heavy trucks. The Response Surface Method (RSM) was utilized to optimize the frame design while maintaining the same stress level as the conventional frame model. An optimal design was realized by substitute the material of battery frame from steel to aluminum and in addition reinforcing it with glass fiber sheet molding compounds (GF-SMC). Four design variables were identified to adjust the frame thickness to reduce the frame weight. The objective function was set as minimizing the weight of the battery carrier while maintaining stress levels equivalent to the conventional frame model using steel. The predicting accuracy from RSM shows a good result as 98%. Consequently, the proposed model achieved a weight reduction of 29.7% compared to the conventional model at the same stress level.