Bridging Multiscale Characterization Technologies and Digital Modeling to Evaluate Lithium Battery Full Lifecycle (Adv. Energy Mater. 33/2022)
Source abstract
Abstract
Lithium Batteries In article number 2200889, Kai Yang, Shichun Yang and co-workers demonstrate the potential of cyber hierarchy and interactional network framework (CHAIN) to bridge multi-scale characterization and modeling technologies to evaluate lithium battery overall lifecycle. CHAIN combing digital twin, cyber twin and artificial intelligence can enable the digitalization of cyber-physical space, further encouraging battery full-lifespan management from new material discovery, intelligent manufacturing and cloud management system design.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Graph Theory and Algorithms
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Affiliations
School of Transportation Science and Engineering Beihang University Beijing 100191 China
Advanced Technology Institute University of Surrey Guildford Surrey GU2 7XH UK
School of Automotive Engineering Harbin Institute of Technology at Weihai Weihai Shandong 264209 China
Department of Mechanical Engineering Imperial College London London SW7 2AZ UK
Dyson School of Design Engineering Imperial College London London SW11 8EX UK
Department of Earth Science and Engineering Imperial College London London SW7 2AZ UK
References
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