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Modeling and Design for Energy Devices

Wei Lu, University of Michigan

Jonghyun Park, Missouri University of Science and Technology

Energy devices and systems, from batteries, supercapacitors, fuel cells to solar cells, have broad applications from electric vehicles, grids to consumer electronics. These systems inherently involves multiphysics and multiscale problems. Technology advancement demands energy storage solutions with higher capacity, longer life, higher reliability, and smarter management strategy. Designing such systems involves a trade-off among a large set of parameters of materials, electrode, and system. The topics of this symposium include, but are not limited to, the following:

• Mechanics of materials and structures for batteries, supercapacitors, fuel cells, solar cells and other systems.

• Mutiphysics simulations of electrochemical systems.

• Prediction of performance such as capacity and degradation.

• Failure mechanisms such as fracture and damage in energy storage materials and devices.

• Design and optimization of energy storage materials, electrodes, devices and systems.

• Data-driven approaches including machine learning for energy related applications.

• Diagnostics and prognostics (or estimation) of state-of-charge and state-of-health

• Optimization and control for electrochemical devices

• Optimization for power systems and smart grid