Experimentally-derived trap binding energies are essential for the validation of atomistic and meso-scale models of hydrogen-microstructure interactions and as input parameters for macro-scale simulations of hydrogen diffusion. There remain, however, many questions regarding their reliability. Most experimental values in the literature are derived from electrochemical permeation (EP) or thermal desorption spectroscopy (TDS) measurements. EP measurements involve electrochemically charging one side a flat specimen with hydrogen and measuring the hydrogen flux through the opposite side until a steady-state is reached. TDS measurements involve heating a hydrogen-containing sample at a constant heating rate and measuring the rate of desorption using a mass spectrometer. In some limiting cases trap binding energies can be derived from EP and TDS measurements using analytical formulas; however, this usually requires making a large number of assumptions regarding trap occupancy, local equilibrium and lattice diffusivity. One example of this is the use of the Kissinger equation to evaluate trap binding energies from TDS measurements, which assumes desorption in the absence of lattice diffusion. Alternatively trap binding energies can be determined by fitting the EP and TDS measurements with finite element (FE) models based on the diffusion equations assuming the presence of traps using optimization methods. This presentation will outline some of the drawbacks of both approaches. EP and TDS measurements were performed for advanced high strength steels with a broad range of diffusion characteristics, including high-strength multiphase steels and ferritic steels containing (Ti,Cr)C nanoparticles. The hydrogen trap binding energies were evaluated using analytical methods (e.g., the Kissinger equation) and by fitting with FE models. In the latter case, the correlation between trapping parameters determined using the fitting procedure were evaluated. It was shown that the experimental results can be fitted with multiple combinations of trapping parameters. Consequently, it was not possible to quantitatively evaluate individual trap parameters using this approach. Moreover, the results given by the Kissinger equation are not consistent with those derived using FE models.