机动车行驶参数采集与驾驶行为量化软件-《计算机技术与发展》

文章信息/Info

Title:: Software for Collecting Driving Parameters and Quantifying Driving Behaviors of Power-driven Vehicles

Author(s):: PENG Kun; ZHANG Li-cheng; ZHOU Zhou; School of Information Engineering,Chang’an University,Xi’an 710064,China

Keywords:: application software; quantitative evaluation; driving behavior; driving parameter collection; on-board diagnostic; . NET

摘要:: 针对当前能源短缺和空气污染问题,以节能减排为目的的生态驾驶研究愈发重要,驾驶行为量化评估是生态驾驶领域的重要研究内容之一。基于. Net 和 C#开发了可实时采集机动车行驶参数及量化驾驶行为的上位机应用软件,软件通过串行方式与车载 OBD 通信,实时解析读取车辆速度、发动机转速、瞬时油耗、百公里油耗、里程等行驶参数,并完成预处理、可视化、存储等功能。在此基础上,提出了基于车辆速度方差、加速度方差的驾驶行为量化因子,该因子与燃油消耗近似线性关系。经过对该量化因子的归一化处理,得到驾驶行为量化评分,定量地评估驾驶行为经济性。实验表明,开发的软件界面友好,使用方便且稳定可靠,提出的驾驶行为量化因子可有效地反映驾驶员的经济驾驶程度。

Abstract:: Aiming at the current problems of energy shortage and air pollution,ecological driving research for the purpose of energy saving and emission reduction is becoming more and more important. The quantitative evaluation of driving behaviors is one of the hot research interests in the field of ecological driving. Based on . Net and C#,an application software running in a host computer that can collect the driving parameters of power-driven vehicles and quantify driving behaviors in real time is developed. The software communicates with the on board diagnostics ( OBD) in a serial manner to analyze and read the vehicle speed,engine speed, instantaneous fuel consumption,fuel consumption per one hundred kilometers, mileage and other driving parameters, and complete the functions of preprocessing,visualization,storage and so on. On this basis,a driving behavior quantization factor based on vehicle speed variance and acceleration variance is proposed, which is approximately linearly related to fuel consumption. After normalizing the quantization factor,a quantitative score for driving behavior is obtained, which quantitatively evaluates the economics of driving behavior. Experiment shows that the developed software is easy to use and stable and reliable with a friendly interface. The proposed driving behavior quantitative factor can effectively reflect the driver’s economic driving degree.