The result of correlation analysis in the subjective preference evaluation illustrates that the strength used to close the automotive door influences the judgment of sound quality seriously. So we acquired and studied the samples of the sounds from the driver's ears when a car's front door was closed heavily and lightly. And a new sound quality evaluation parameter named sharpness-energy (SE) was proposed. Firstly, energies of noise samples were calculated numerically based on dual ensemble empirical mode decomposition (EEMD) and Wigner-Ville distribution. Then SE was acquired through the calculation formula of sharpness. Finally, SE was normalized to a centesimal system. SE underlines the influence of high-frequency component in the judgment of sound quality. In order to verify the validity of the extraction process, we carried out a correlation analysis between SE and subjective evaluation results. The results illustrate that the SE method acquires better performance than sharpness when evaluating the sound of closing door.