Presentation Title

Solid-state Li-ion battery modeling in Python

Faculty Mentor

John Christopher Bachman

Start Date

23-11-2019 10:45 AM

End Date

23-11-2019 11:30 AM

Location

174

Session

poster 4

Type of Presentation

Poster

Subject Area

engineering_computer_science

Abstract

Lithium-ion solid-state batteries have the potential to provide higher energy densities with improved safety compared to conventional lithium-ion batteries. To analyze and improve these batteries, a simulation was created in Python of a 1D thin-film Li-ion solid state battery with a Li3PO4 electrolyte, a LiCoO2 positive electrode, and a Li metal negative electrode. The simulation is capable of predicting charge/discharge curves, the electric field, overpotential contributions, and the concentration gradients in the electrode and electrolyte during charge and discharge. Battery capacities were found to be limited by the diffusion overpotential in the positive electrode.

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Nov 23rd, 10:45 AM Nov 23rd, 11:30 AM

Solid-state Li-ion battery modeling in Python

174

Lithium-ion solid-state batteries have the potential to provide higher energy densities with improved safety compared to conventional lithium-ion batteries. To analyze and improve these batteries, a simulation was created in Python of a 1D thin-film Li-ion solid state battery with a Li3PO4 electrolyte, a LiCoO2 positive electrode, and a Li metal negative electrode. The simulation is capable of predicting charge/discharge curves, the electric field, overpotential contributions, and the concentration gradients in the electrode and electrolyte during charge and discharge. Battery capacities were found to be limited by the diffusion overpotential in the positive electrode.