基于PEMS测量的机动车尾气预测研究

Research on Prediction of Vehicle Exhaust Based on Measurement by PEMS

为了实现对机动车尾气排放的控制,解决现有预测模型未能通过燃油消耗来研究污染物排放以及未能建立起油耗及其车外可观测影响因素之间的关系问题,对油耗数据及其理论模型进行了研究,提出了微观综合预测模型,它是根据便携式尾气测量系统(PEMS)实际工况下测量的机动车油耗与各污染物排放数据,并结合油耗的理论模型建立起的综合预测模型;最后,通过实验对综合预测模型进行了实例分析与验证;实验结果表明,综合预测模型首次对污染物CO和NO的预测模拟值和实测值之间的平均误差分别为14.3%和12.8%,实现了较好的预测效果,为进一步研究燃油消耗和排放的关系奠定了很好的基础。

Aiming at realizing the control of vehicle exhaust emissions,solving the problem that the existing model can＇t predict the pollutant through the fuel consumption and establish the contact between the fuel consumption and the factors affecting the pollutant emissions,the date of the fuel consumption and the theoretical model were researched,then the microscopic comprehensive prediction model was proposed.It was the model that made by the date of fuel consumption and the pollutant emissions that based on the real world driving cycle measured by Portable Emission Measurement System（PEMS）,and then combined the theoretical model of the fuel consumption.At last,the comprehensive prediction model was proved by using the real-time date that was also collected by the PEMS.The experimental result shows that the effect of the model used the first time was accurate enough to predict the pollutant emissions such as CO and NO that the error between the actual and the predicted was 14.3% and 12.8%,and lays the good foundation for further experiment with the contact between the fuel consumption and the pollutant emissions.