Application of fuzzy dynamic weights drivability evaluation model in tip-in condition

Abstract

Only the subjective or objective method is employed to calculate the index weight in the evaluation of drivability, which makes the evaluation result less accurate. In this paper, a drivability evaluation model was proposed on the basis of fuzzy dynamic weights, and the drivability was evaluated in tip-in conditions. The evaluation indexes affecting drivability in tip-in conditions were determined using multi-dimensional analysis. The dynamic weight was built using an improved analytic hierarchy process and improved entropy method in accordance with the principle of “function driving and difference driving.” The fuzzy matrix was built by drawing upon the improved membership function of the evaluation index. Finally, the drivability evaluation model of the tip-in condition was built with dynamic weight and fuzzy matrix. The evaluation model was employed to evaluate the drivability of the vehicle, which obtained the drivability score. As the experiment results suggest, the evaluation model is accurate and effective in comparison with the real score and the score obtained from the fuzzy analytic hierarchy process. The evaluation model is employed to formulate a control strategy for a vehicle that will allow better drivability. Besides, the method makes the performance development of the vehicle more knowledgeable and agile.