The aim of this study is to identify perceptually pertinent parameters for the evaluation of car door closure sounds. For this purpose, perceptual properties of recorded sounds were first evaluated by sensory metrology. Then, an analysis-synthesis approach was chosen in order to identify perceptually pertinent signal parameters. The analysis part of this process first consisted in decomposing the sound in several independent impact sources using the Empirical Modal Decomposition method. Each impact is then modeled by a set of gains and damping factors in each critical band (ERB). These parameters were further used to synthesize sounds related to various aspects of the door closure sound with a real-time tool. This approach allowed for the generation of realistic, synthesized car door closure sounds that preserve perceptual properties with a reduced number of signal parameters. Listening tests finally allowed for the observation of the influence of the main signal parameters on the perceptual properties of such action-related impact sounds.