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Bridging Multiscale Characterization Technologies and Digital Modeling to Evaluate Lithium Battery Full Lifecycle (Adv. Energy Mater. 33/2022)

Xinhua Liu, Lisheng Zhang, Hanqing Yu, Jian-An Wang, Junfu Li, Kai Yang, Yunlong Zhao, Huizhi Wang, Billy Wu, Nigel P. Brandon, Shichun Yang

2022Advanced Energy Materials23 citationsDOI

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.

Topics & Concepts

Systems engineeringBattery (electricity)Bridging (networking)Materials scienceBridge (graph theory)Characterization (materials science)Computer scienceNanotechnologyEngineeringMedicineQuantum mechanicsInternal medicinePower (physics)Computer networkPhysicsGraph Theory and Algorithms
Bridging Multiscale Characterization Technologies and Digital Modeling to Evaluate Lithium Battery Full Lifecycle (Adv. Energy Mater. 33/2022) | Litcius