Design of a Lightweight Model for the Battery Carrier of a Commercial Large Electric Truck Using the Response Surface Method

Soon-Jae Hwang, Min-Seong Oh, Ou-Chul Sul, Mun-Gyu Yoo, Young-Gu Chung, Seok-moo Hong
{"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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于响应面法的某商用大型电动卡车电池支架轻量化模型设计
这项研究优化了电池载体的形状,以减轻重量,以应对商用氢电动重型卡车对电池容量不断增加的需求。采用响应面法(RSM)对车架进行优化设计,同时保持与传统车架模型相同的应力水平。将电池骨架材料由钢替换为铝,并用玻璃纤维片模复合材料(GF-SMC)加固,实现了电池骨架的优化设计。确定了四个设计变量来调整车架厚度以减小车架重量。目标函数设置为最小化电池载体的重量,同时保持与传统钢框架模型等效的应力水平。RSM的预测准确率达到98%。因此,在相同的应力水平下,与传统模型相比,该模型的重量减轻了29.7%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Design of a Lightweight Model for the Battery Carrier of a Commercial Large Electric Truck Using the Response Surface Method A Study on the Process Establishment Using FOM-BI and CPS for a Small and Medium-sized Food Manufacturing Company Strength Design of e-PGS Pinion Considering Dedendum Modification Numerical Evaluation of Flow Pattern for Root Canal Irrigation Including Microbubbles Design of Ultrasonic Knife Transducer Using CAE
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1