车辆起步工况驾驶性品质评价方法研究*

doi:10.19562/j.chinasae.qcgc.2018.011.011

Abstract

Abstract: In order to solve the problem of poor stability of the results of subjective evaluation in vehicle drivability quality evaluation, the start control mechanism is analyzed, the evaluation indicators for drivability quality in start condition are determined. Then the drivability quality evaluation system for start condition is set up and a drivability quality evaluation scheme for start condition is proposed based on fuzzy neural network. Finally the trained evaluation model for drivability quality is validated and the results show that the difference between the score of each vehicle predicted by evaluation model and that of subjective evaluation is within one point, the acceptance rate of prediction scores for different start intentions is up to 90%, and the correlation coefficient between subjective score and predictive score reaches above 0.82, indicating that the evaluation model proposed can fulfill accurate evaluation of drivability quality

Key words: start condition, drivability quality, fuzzy neural network, evaluation

Huang Wei, Liu Haijiang, Li Min, Tong Ronghui, Zhou Lei. A Research on Evaluation Method for Vehicle Drivability Quality in Start Condition[J]., 2018, 40(11): 1324-1329.

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A Research on Evaluation Method for Vehicle Drivability Quality in Start Condition

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