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作 者:谢凌霄 黎福海[1] 漆一宏 Xie Lingxiao;Li Fuhai;Qi Yihong(Hunan Universily,Changsha 410082,China;LinkE Technologies(Hengqin)Inc.,Zhuhai 519000,China)
机构地区:[1]湖南大学,长沙410082 [2]领翌技术(横琴)有限公司,珠海519000
出 处:《仪器仪表学报》2022年第7期230-238,共9页Chinese Journal of Scientific Instrument
摘 要:燃油经济性一直是汽车的关键性能指标,也是环境保护中迫切需要解决的问题,目前已有很多油耗测量的方法,但大多只实现了对汽车油耗的监控,无法快速且准确地评估不同车型的燃油经济性。本文基于实时的汽车CAN总线数据,提出了行驶场景的方法,将普通驾驶过程划分为短时间单元,对不同行驶状态下的汽车数据进行分类和分析,建立各场景下的评估模型,并根据各模型特点设计评分方法,综合评估汽车的燃油经济性。研究表明,评估结果不受驾驶环境或驾驶行为的影响,在规定的驾驶时间及路段测试后,油耗计算误差只有0.4,同车最大评估误差仅为4%。本方法可以为汽车购买者提供更为精准的车型燃油经济性评估报告,避免实地试驾的不便,有效提升理想车辆的选购率,能够推动新兴的在线汽车市场。Fuel economy has always been a key performance indicator of automobiles, which is also an urgent problem to be addressed in environmental protection. At present, there are many methods for fuel consumption measurement. However, most of them only achieve monitoring of automobile fuel consumption, which cannot quickly and accurately evaluate the fuel economy of different models. In this article, based on real-time automotive controller area network bus data, a driving scenario method is proposed to divide the common driving process into short time units, classify and analyze automotive data under different driving states, establish evaluation models under each scenario, and design scoring methods according to the characteristics of each model to comprehensively evaluate the fuel economy of automobiles. The study shows that the evaluation results are not affected by driving environment or driving behavior. The fuel consumption calculation error is only 0.4 after the prescribed driving time and road test, and the maximum evaluation error of the same car is only 4%. This method can provide car buyers with more accurate fuel economy evaluation reports for their models, avoid the inconvenience of field test drives, effectively improve the purchase rate of desirable vehicles, and can promote the emerging online car market.
关 键 词:燃油经济性 汽车OBD 行驶场景 核密度估计 贝叶斯拟合
分 类 号:TH701[机械工程—仪器科学与技术] U467.498[机械工程—精密仪器及机械]
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