The invention belongs to the technical field of driving strategies and energy, and particularly relates to a driving habit-fuel economy analysis method oriented to green driving. The invention provides a driving habit and fuel economy correlation analysis method based on a car-following model in order to overcome the defects that a traditional experiment method is large in manpower and material resource consumption and experiment samples are difficult to select in order to meet the requirement for a large number of driving process data samples in driving habit research oriented to energy saving. The motion state of the automobile is generated through the driving habit and the IDM car-following model, namely a simulated driving process. And calculating the fuel consumption condition of each section of driving process by using an MOVES fuel consumption calculation model. Through a Monte Carlo experiment, driving habit-unit distance fuel consumption data is obtained, and through correlation analysis and curve fitting methods, a mathematical relationship of influence of each driving habit on the fuel consumption condition in the car-following model is analyzed and explored. The method used in the research can be used for exploring the influence of driving habits on fuel consumption for different vehicle models. The method can replace road actual measurement or serve as a pre-analysis means to provide reference, manpower and material resources are saved, and the method has wide application prospects.
本发明属于驾驶策略和能源技术领域,具体涉及一种以绿色驾驶为导向的驾驶习惯——燃油经济性分析方法。针对以节能为导向的驾驶习惯研究中对大量驾驶过程数据样本的需求,为了弥补传统试实验方法人力物力消耗大、实验样本难以选择的缺点,本发明提出了一种基于跟驰模型的驾驶习惯与燃油经济性相关性分析方法。通过驾驶习惯与IDM跟驰模型,生成汽车的运动状态,即一段仿真的驾驶过程。再利用MOVES燃油消耗计算模型,计算每段驾驶过程的燃油消耗情况。通过蒙特卡洛实验,得到驾驶习惯‑单位距离燃油消耗数据,并通过相关性分析和曲线拟合的方法分析探究跟驰模型中各个驾驶习惯对燃油消耗情况影响的数学关系。本研究中所使用的方法能够针对不同车辆型号,探究驾驶习惯对燃油消耗的影响。能够代替道路实测或作为预分析手段,为其提供参考,节省人力物力,具有广阔的应用前景。
Driving habit and fuel economy correlation analysis method based on car-following model
一种基于跟驰模型的驾驶习惯与燃油经济性相关性分析方法
2024-06-28
Patent
Electronic Resource
Chinese