Simulative determination of the composition-dependent effective thermophysical parameters of established and future battery electrodes

Thermal management is essential for the performance, lifetime and safety of intercalation batteries like lithium-ion batteries (LIB), especially in large cell assemblies used in electric vehicles or stationary storage systems. With the emergence of ever newer cell technologies such as next-generation LIB or sodium-ion battery materials, the design of thermal management systems is constantly facing new challenges, as these new cell generations are usually not sufficiently characterized. The huge variety of materials and designs at the electrode level influences the thermal behavior of the entire cell. The aim of this work is to derive the effective thermal transport parameters for different electrode configurations by means of modeling, based on the thermophysical variables of the individual components and the composition. By specifically varying the input parameters, a spectrum of the possible thermal properties is demonstrated and a corresponding database provided. The focus of the thermophysical data is on thermal conductivity, density, and specific heat capacity for commercial and future technically relevant lithium and sodium-ion battery (SIB) systems.