基于驾驶行为的绿色驾驶算法模型的研究

发布时间：2018-06-06 04:19

本文选题：绿色驾驶 + 算法模型　；参考：《河北工业大学》2015年硕士论文

【摘要】：随着经济的飞速发展以及生活水平的提高,国内汽车市场蓬勃发展,汽车保有量也逐年激增。汽车带给人们便利的同时,也带来了严重的环境污染,因此降低车辆排放成为一个亟待解决的问题。大量研究表明,通过改善驾驶员驾驶行为使其尽可能的绿色驾驶,能有效降低汽车带来的环境污染,节约能源。故研究基于驾驶行为的绿色驾驶算法模型具有重要实际意义。而国内针对绿色节能驾驶算法模型的研究匮乏,通过绿色驾驶降低车辆尾气排放,帮助驾驶员养成优良的驾驶习惯等技术问题,更未得到解决。国外先进的汽车节油辅助技术,对于我国驾驶员来说过于专业化,无法帮助驾驶员及时有效的改进驾驶习惯,再加上国内外的道路状况特点不同,因此首先需要对车辆运行工况进行优化,使其更加适合国内道路情况。通过细化车辆燃油经济性的数学模型,根据变量之间的关系,分析出影响车辆燃油消耗的因素,并对驾驶行为和影响因素之间的关系进行分析,建立绿色驾驶行为模型。根据车辆的运行工况不同,将车辆分成七个行驶工况:1、加速工况;2、停车怠速工况;3、升降档工况;4、车速过高工况;5车速保持工况;6、停车制动工况;7、滑行制动工况。通过对车辆的操作识别,结合七个工况的优先级,建立一套工况之间的识别算法。通过优化各个工况下的限值标准,建立相应的驾驶行为评价体系,并将其融合成最终的车辆节能驾驶算法模型。利用软件仿真,通过输入已知各参数变量,将理论值与实际输出值进行比较,验证了算法的正确性和模型的可靠性。通过模拟路试台架对节油控制器进行模拟路试试验。实验结果表明控制器准确的输出了车速评价的理论值90%,有效的评价了驾驶员当前驾驶行为的节油性,取得了一定的节能效果。通过绿色驾驶行为评价算法模型,驾驶员不仅可以实时了解到自己当前的操作是否有利于车辆节油,长久以来还可以帮助驾驶员养成良好的驾驶习惯。绿色节油评价模型的建立也为后续的研究工作打下了良好的基础。
[Abstract]:With the rapid development of economy and the improvement of living standard, the domestic automobile market is booming, and the number of automobile ownership is increasing year by year. Automobile brings people convenience, but also brings serious environmental pollution, so reducing vehicle emissions has become a problem to be solved. A large number of studies have shown that by improving driver's driving behavior and making it as green as possible, it can effectively reduce the environmental pollution caused by cars and save energy. Therefore, it is of great practical significance to study the green driving algorithm model based on driving behavior. But the domestic research on green energy-saving driving algorithm model is scarce, through green driving to reduce vehicle exhaust emissions, help drivers develop good driving habits and other technical problems, not to mention have not been solved. Foreign advanced fuel saving auxiliary technology is too specialized for Chinese drivers to help drivers improve their driving habits in a timely and effective manner. In addition, the road conditions at home and abroad are different. Therefore, it is necessary to optimize the vehicle operating conditions to make it more suitable for the domestic road conditions. By refining the mathematical model of vehicle fuel economy and according to the relationship between variables, the factors affecting vehicle fuel consumption are analyzed, and the relationship between driving behavior and influencing factors is analyzed, and the green driving behavior model is established. According to the different operating conditions of the vehicle, the vehicle is divided into seven driving conditions: 1: 1, 2 acceleration, 3 idling, 4 lifting, 6 speed keeping, 7 braking and gliding. By identifying the operation of the vehicle and combining the priority of the seven working conditions, a set of identification algorithm between the working conditions is established. By optimizing the limit standard under each working condition, the corresponding evaluation system of driving behavior is established, and the final vehicle energy-saving driving algorithm model is merged into the model. By software simulation, the correctness of the algorithm and the reliability of the model are verified by comparing the theoretical value with the actual output value by inputting the known parameter variables. The fuel-saving controller was simulated by a simulated road test bench. The experimental results show that the controller accurately outputs the theoretical value of the speed evaluation 90 and effectively evaluates the fuel saving performance of the driver's current driving behavior and achieves a certain energy saving effect. Through the green driving behavior evaluation algorithm model, the driver can not only know in real time whether his current operation is conducive to fuel saving, but also help the driver to develop a good driving habit for a long time. The establishment of green fuel-saving evaluation model also laid a good foundation for further research.
【学位授予单位】：河北工业大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U491;U471.23

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