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

机译:模糊动态权重驱动性评估模型在尖端条件下的应用

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摘要

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.
机译:仅采用主观或客观方法计算驾驶性评估中的指数重量,这使得评估结果不太准确。在本文中,在模糊动力量的基础上提出了一种驱动性评价模型,并且在尖端条件下评估了驱动性。利用多维分析确定影响尖端条件下的驱动性的评价指标。使用改进的分析层次处理和改进的熵方法根据“函数驾驶和差异驾驶”原理建立动态重量。通过绘制评估指标的改善的成员函数来构建模糊矩阵。最后,采用动态重量和模糊矩阵构建了尖端状况的驾驶性评估模型。使用评估模型来评估车辆的驾驶性,从而获得驱动性分数。随着实验结果表明,与真实评分和从模糊分析层次过程中获得的分数相比,评估模型是准确和有效的。评估模型用于制定将允许更好的驾驶性能的车辆的控制策略。此外,该方法使车辆的性能开发更知识渊博和敏捷。

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