Application of digital twin technology in production process optimization and performance prediction of new energy battery packs

The Higher Educational Key Laboratory for Flexible Manufacturing Equipment Integration of Fujian Province (Xiamen Institute of Technology)Xiamen, China

School of Mechanical Electrical and Information Engineering, Xiamen Institute of TechnologyXiamen, China

Li, Zun

Poweroad Renewable Energy Co., LtdXiamen, China

Ding, Haitao

Jimei Industrial CollegeXiamen, China

Huang, Junsheng

Quanzhou HUST, Research Institute of Intelligent ManufacturingQuanzhou, China

Zhang, Huiju

The Higher Educational Key Laboratory for Flexible Manufacturing Equipment Integration of Fujian Province (Xiamen Institute of Technology)Xiamen, China

School of Mechanical Electrical and Information Engineering, Xiamen Institute of TechnologyXiamen, China

Sprache:: Englisch

Zeitrahmen der Veröffentlichung:: 1 Hefte pro Jahr
Fachgebiete der Zeitschrift:: Biologie, Biologie, andere, Mathematik, Angewandte Mathematik, Mathematik, Allgemeines, Physik, Physik, andere

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Application of digital twin technology in production process optimization and performance prediction of new energy battery packs

Chunhui Li

Zun Li

Haitao Ding

Junsheng Huang

Huiju Zhang

Online veröffentlicht: 25. Nov. 2024

Eingereicht: 01. Juli 2024

Akzeptiert: 21. Okt. 2024

DOI: https://doi.org/10.2478/amns-2024-3464

Schlüsselwörter<kwd>Digital twin</kwd>, <kwd>Battery pack</kwd>, <kwd>Production process optimization</kwd>, <kwd>Piecewise conveyer</kwd>

© 2024 Chunhui Li et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
<kwd>Digital twin</kwd>, <kwd>Battery pack</kwd>, <kwd>Production process optimization</kwd>, <kwd>Piecewise conveyer</kwd>