Probing Multiscale Dynamics of Energy-Dense Batteries by Operando Imaging

Area of Science:

• Materials Science
• Electrochemistry
• Energy Storage

Background:

• Growing demand for high-performance batteries in electric vehicles and portable electronics.
• Complex dynamic behaviors during battery cycling impact performance.
• Limitations of conventional characterization techniques for understanding micro/mesoscale structure-performance relationships.

Purpose of the Study:

• To provide an overview of operando imaging techniques for battery characterization.
• To highlight advancements in multiscale analysis of battery materials.
• To elucidate dynamic evolution mechanisms within closed battery systems.

Main Methods:

• Review of operando imaging techniques.
• Multiscale characterization from sub/single-particle to full battery levels.
• Analysis of dynamic changes in electrode materials, SEI formation, and electrolyte distribution.

Main Results:

• Operando imaging enables visualization of dynamic processes at various scales.
• Identification of key factors governing battery performance.
• Bridging the gap between micro/mesoscale material changes and macroscopic device behavior.

Conclusions:

• Operando imaging offers crucial insights into battery performance.
• Advanced imaging is essential for developing next-generation batteries.
• Understanding multiscale dynamics is key to optimizing battery design and function.