Lithium-metal battery degradation dataset from continuous cycling experiments

Area of Science:

• Materials Science
• Electrochemistry
• Energy Storage

Background:

• Lithium-metal batteries offer high energy density but face challenges in lifespan and safety.
• Degradation mechanisms like lithium plating and electrolyte depletion limit cycle life.

Purpose of the Study:

• To present a comprehensive dataset of lithium-metal battery cycling performance.
• To provide data for developing predictive models for battery lifespan and durability.

Main Methods:

• Collected current and voltage data from 23 lithium-metal battery cells with varying configurations.
• Performed continuous cycling using constant-current (CC) discharge and CC-constant voltage (CC-CV) charge protocols.
• Calculated cell capacity from the collected electrochemical data.

Main Results:

• The dataset includes voltage, current, and calculated capacity for each cycle of 23 cells.
• Data captures capacity loss attributed to known degradation mechanisms.
• Cells were tested under various C-rates and voltage cutoffs at room temperature.

Conclusions:

• The presented dataset is valuable for research into lithium-metal battery degradation.
• Enables the development of models to predict cell lifespan and optimize battery design.
• Facilitates accelerated design improvements for enhanced battery performance and durability.