基于大数据的实际道路油耗研究与优化

文章借助大数据平台,以国内某款乘用车型为研究对象,提取了车型不同地区不同用户群体的油耗状态,分离出了高油耗客户群体油耗偏高的原因,有针对性地进行油耗优化和验证。通过大数据对比发现车辆实际道路工况及油耗与法规工况及油耗差异较大,文章通过实际道路设计进行油耗验证和分析,用更加贴近用户使用的工况分析油耗影响因素的敏感性,通过采取相应的降油耗措施达到降低实际使用油耗的目的。研究结果表明:高油耗客户群体的怠速工况占比较大;油耗对行驶平均车速、冷启动工况的敏感性较高;北方地区行驶工况恶劣是油耗偏高的主要原因;低温地区匹配雪地胎的油耗比匹配四季胎的油耗更好。

Research and Optimization of Actual Road Fuel Consumption Based on Big Data

In this paper,based on the big data platform,taking a passenger car as the research object,obtained the fuel consumption status of different regions and user groups,find out the reason of high fuel consumption and optimized it.Through big data comparison,it is found that there is a big difference between the actual road fuel consumption and the regulated fuel consumption.In this paper,through the actual road cycle design for fuel consumption verification and analysis,with a more user-friendly working conditions for the sensitivity analysis of fuel consumption influencing factors,by taking appropriate measures to achieve the purpose of reducing the actual use of fuel consumption.The results show that:the idle speed of high fuel consumption group is large;the sensitivity of fuel consumption to average velocity and cold start is high;The main reason for the high fuel consumption is the bad driving conditions in northern China;the fuel consumption of snow tire is better than the four season tire in low temperature area.