基于融合理论的车用柴油机失火在线诊断

摘要

为避免车用柴油机失火故障发生,基于信息融合理论,制定了柴油机失火诊断策略和失火率预测模型；利用轻型车排放转鼓循环的动力与排放等试验数据,对柴油机失火及失火率进行了判别与预测.根据国Ⅳ的OBD系统项目试验条款,通过失火控制器设定失火故障,进行了车用柴油机失火诊断、失火率预测和排放测试等试验.结果表明:诊断训练误差为0.08％,失火诊断的准确率为99.92％,失火率的诊断误差为0.05％,证实了制定的柴油机失火诊断策略是切实可行的；表明了信息融合方法是柴油机失火诊断、失火率预测的理论基础,为车用柴油机满足OBD排放规定提供了保障.%In order to avoid the engine misfire,based on the information syncretic theory,the misfire rate forecasting model of the diesel engine was established and the misfire diagnostic strategy of the diesel engine was put forward.Using the syncretic parameters on the power and emissions test data of the light-duty vehicle chassis dynamometer,the misfire pattern of diesel engine was diagnosed and the misfire rate of diesel engine was inspected.According to the test terms of the OBD system in the national Ⅳ emissions regulations,the diesel engine misfire types were put forward by the misfire controller.The tests on the misfire pattern,the misfire rate and the emissions were inspected and diagnosed in the light-duty vehicle chassis dynamometer.The test result showed that the diagnostic training error was 0.08％,the misfire diagnostic accuracy was 99.92％,and the diagnostic error of the misfire rate was 0.05％.It has been confirmed that the misfire diagnosis strategy was feasible; the information syncretic method was the diagnostic theoretical basis of the misfire,the misfire rate and the emissions of the diesel engine.This has provided the guarantee that the automotive diesel engine emissions could meet the OBD requirements.