Lithium-ion batteries are becoming a preferred technology for energy storage, particularly within the automotive industry due to a transition towards electric vehicles. Significant improvements in battery technology have been made, including reducing cost and increasing energy density. However, improving battery performance has an impact upon safety considerations due to increased heat generation inside the cell, which in turn increases the probability of thermal runaway. Therefore, the thermal characteristics of a cell are an important consideration during cell and pack design. Models can aid this design process by simulating the heat generation and electrochemical behaviour of a battery. Increasingly, physics-based models are being used for predictive purposes, providing insights into the internal states of a battery and more accurate predictions compared to equivalent circuit models. Through the porous electrode theory introduced in the work of Newman and Tiedemann, physics-based electrochemical models became popularised for predicting the internal states of a battery. These predictions can be further improved by coupling to a thermal model to capture the thermal-dependency. Higher energy density materials have been developed to meet the automotive specifications for lower cost vehicles, these include nickel-rich layered oxides and silicon-doped graphite electrodes. The development of new materials and cell types means that these systems need to be parameterised to enable accurate model predictions for these applications. This is because electrodes vary in composition and microstructure, factors that have significant influence on the resulting electrochemical and thermal properties. Commonly used parameter sets for commercial cells are not for high energy systems and do not include the information required to extend to a 3D thermal model. Recent parameterisations of commercial cells only considered batteries with electrodes less than 55 µm. Previous work has compared differences in energy vs power cells and their physical and electrochemical properties, these differences identified a need to parameterise high energy cells as literature has focussed on high power. Additionally, research that has parameterised thermal-electrochemical models has not involved measuring the specific heat capacities and thermal conductivities of the individual materials needed to describe thermal performance beyond 0D (Table ). The requirements of the different thermal model definitions are as follows (the electrochemical parameters also need to be defined):