Physics-based models have proven to be effective tools for understanding the behavior of Li-ion batteries (LIBs), which is essential for improving their design and performance. Among the various physics-based models, the Doyle-Fuller-Newman (DFN) model has emerged as the most widely used due to its accurate simulation of LIB behavior. Model parameters play a crucial role in achieving accurate simulations of LIBs, with the solid-phase diffusion coefficient (𝐷𝑠) and the reaction-rate coefficient (𝑘0) standing out as particularly influential factors. In this work, the Galvanostatic Intermittent Titration Technique (GITT) and Potentiostatic Intermittent Titration Technique (PITT) measurement methods in combination with analytical and physics-based approaches are used to estimate 𝐷𝑠 and 𝑘0. GITT and PITT measurements are performed on Li/NC46 coin cells. Results show 𝐷𝑠 and 𝑘0 estimated with the DFN model give the best accuracy and lowest Root Mean Squared Error (RMSE) vs measurements. The analytical method for estimating 𝐷𝑠 and 𝑘0 shows the least accuracy and is thus not recommended for use in physics-based models. Overall, the DFN model with GITT has the lowest RMSE and can accurately estimate both 𝐷𝑠 and 𝑘0.