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作 者:王一博 Wang Yibo(School of Automobile,Chang’an University,Shaanxi Xi’an 710064)
机构地区:[1]长安大学汽车学院
出 处:《汽车实用技术》2019年第24期101-103,共3页Automobile Applied Technology
摘 要:为研究汽车动力性能主观评价与客观评价的相关性,采用逐步回归分析方法构建数学模型。介绍了逐步回归分析的基本理论和求解步骤,明确了基于加速性能、爬坡性能以及舒适性能的13项汽车动力性主观评价指标,并建立了结合十分评分制的打分方法。根据国家标准,选取最高车速、原地加速时间、超车加速时间和最大爬坡度等4项内容作为汽车动力性客观评价指标。选取3名评车师,分别对2台测试车辆进行动力性主观评价和客观评价,得到评价结果。采用逐步回归法对评价结果的相关性进行分析,得到11项主观评价指标与其对应的客观评价指标具有线性相关关系。In order to study the correlation between subjective evaluation and objective evaluation of vehicle dynamic quality,a mathematical model was established by stepwise regression analysis.The basic theory and solving steps of stepwise regression analysis are introduced.Thirteen subjective evaluation indexes of automotive power performance based on acceleration performance,climbing performance and comfort performance are defined,and a scoring method combined with ten-point scoring system is established.According to the national standard,the maximum speed,starting acceleration time,overtaking acceleration time and maximum gradient are selected as the objective evaluation indexes of vehicle power performance.Three car evaluators were selected to conduct subjective and objective dynamic evaluation on two test vehicles respectively,and the evaluation results were obtained.Stepwise regression method was used to analyze the correlation of evaluation results,and 11 subjective evaluation indicators were found to have linear correlation with their corresponding objective evaluation indicators.
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