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Space mapping-assisted optimization of a thin-walled honeycomb structure for battery packaging

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成果类型:
期刊论文
作者:
Shuai, Wenquan;Li, Enying*;Wang, Hu;Li, Yu
通讯作者:
Li, Enying
作者机构:
[Shuai, Wenquan; Li, Enying] Cent South Univ Forestry & Technol, Coll Mech & Elect Engn, Changsha 41004, Peoples R China.
[Li, Yu; Wang, Hu; Shuai, Wenquan] Hunan Univ, State Key Lab Adv Design & Mfg Vehicle Body, Changsha 410082, Hunan, Peoples R China.
[Wang, Hu] Joint Ctr Intelligent New Energy Vehicle, Shanghai, Peoples R China.
通讯机构:
[Li, Enying] C
Cent South Univ Forestry & Technol, Coll Mech & Elect Engn, Changsha 41004, Peoples R China.
语种:
英文
关键词:
Space mapping (SM);Thin-walled honeycomb structure;Li-ion battery package;Pseudo-plane-strain model
期刊:
Structural and Multidisciplinary Optimization
ISSN:
1615-147X
年:
2020
卷:
62
期:
2
页码:
937-955
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China [11972155, 51621004]; Key Projects of the Research Foundation of Education Bureau of Hunan Province [17A224]
机构署名:
本校为第一且通讯机构
院系归属:
机电工程学院
摘要:
A new thin-walled honeycomb structure for Li-ion battery packaging is designed and optimized in this study. Compared with other battery packaging structures, the designed honeycomb structure described here uses a grid to reinforce its strength. At the same time, the weight is reduced to improve the energy density of the entire package. Moreover, the new thin-walled structure can better protect the internal battery and improve the safety of an electric vehicle (EV). A space mapping (SM) algorithm is used to efficiently optimize the thin-walled honeycomb structure due to the expensive computatio...

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