White Paper: Automotive
Modeling the Lithium-Ion Battery
Lithium-ion batteries have become the most common batteries for consumer electronics, industrial, transportation, and power storage applications. The increased demand and the pressure for improving battery performance have intensified the need for mathematical modeling to be able to understand, predict, and optimize batteries for a wide range of applications.
Modeling and simulations allow for the analysis of an almost unlimited number of design parameters and operating conditions, while reducing time and cost to bring new battery technology to market. Testing is used to provide the necessary validation of the models as well as qualification for large-scale production.
For a battery manufacturer, models and simulations help to improve the materials and the design of the battery system. For device manufacturers, who incorporate batteries in products and devices, modeling allows for understanding and simulating performance at relevant operating conditions.
The most accurate way of describing the lithium-ion battery is through physics-based models formulated with partial differential equations. The COMSOL Multiphysics® software provides the modeling tools to create accurate numerical simulations of lithium-ion batteries based on the Newman model, extensively validated by scientists and researchers.
This white paper exemplifies the use of models and simulations through a gallery of examples for performance predictions, thermal management, safety assessment, characterization, state-of-health monitoring as well as for fundamental research and understanding.
Don't have an account? Sign up here.