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电子节气门动力失控工况诊断及故障模式管理

Diagnosis for ETB Power Out of Control Condition and Failure Mode Management
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摘要 针对因电子节气门位置传感器出现严重的信号偏移现象造成的车辆动力失控工况,通过监测目标进气量与实际进气量的偏差量进行识别,并在故障确认后通过对节气门驱动电机和系统燃油喷射进行主动干预及时避免危险驾驶状况的发生,同时提示驾驶员当前发动机处于危险工作状态。推导演算了驾驶动力需求、目标进气量、目标节气门开度转换过程,以及基于进气压力信号的发动机实际进气量,利用Spike算法对进气偏差量进行工程过滤处理。设计了驱动电机断电策略以及游车怠速功能。经过实车驾驶试验验证表明:提出的控制策略能够迅速有效地识别动力失控工况,采取合适的故障管理方式能有效避免危险驾驶状况的发生。 In terms of the condition of power out of control caused by serious electronic throttle position sensor error, a strategy that monitoring the deviation of desired air intake and actual air intake was proposed. Electronic throttle driving motor and fuel injection were intervened to avoid dangerous driving, and the driver was prompted that the engine is in dangerous working condition. Conversion process from driving power demand to desired air intake and desired throttle opening was derived, and actual air intake based on intake air pressure was calculated. Intake air deviation was processed using "Spike" algorithm. Driving motor power losing and hunting idle strategy was designed. Based on on-car driving tests results, power out of control condition can be identified quickly and effectively, and failure mode management was introduced timely, therefore dangerous driving condition was avoided effectively.
出处 《重庆理工大学学报(自然科学)》 2015年第12期32-40,共9页 Journal of Chongqing University of Technology:Natural Science
关键词 电子节气门 动力失控工况 故障诊断 Spike算法 故障管理 electronic throttle body power out of control condition fault diagnosis Spike algorithm failure mode management
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  • 1钱立军,袭著永,赵韩.基于BP神经网络的发动机排放预测[J].汽车工程,2005,27(1):28-30. 被引量:5
  • 2Egan W J, Morgan S L. Outlier detection in multivariate analytical chemical data[J]. Anal. Chem, 1998, 70(11): 2372-2379.
  • 3P. J. de Groot, Postma G J, Melssen W J, et al. Application of principal component analysis to detect outliers and spectral deviations in near-field surface-enhanced Raman spectra [J]. Analytica Chimica Acta, 2001, 446(1-2):71-83.
  • 4Bussian B M, Harale W. Robust smoothing applied to white noise and single outlier contaminated Rarnan spectra[J]. Appl. Spectrosc, 1984, 38 (3) : 309-313.
  • 5Katsumoto Y, Ozaki Y. Practical algorithm for reducing convex spike noises on a spectrum[J]. Appl. Spectrosc, 2003, 57(3):317-322.
  • 6Phillips G R, Harris J M. Polynomial filters for data sets with outlying or missing observations: application to charge-coupled-device-detected Raman spectra contaminated by cosmic rays[J]. Anal. Chem, 1990, 62(21): 2351-2357.
  • 7Hill W, Rogalla D. Spike-correction of weak signals from charge-coupled devices and its application to Raman spectroscopy [J]. Anal. Chem, 1992, 64(21): 2575-2579.
  • 8Ehrentreich F, Summehen L. Spike removal and denoising of Raman spectra by wavelet transform methods[J]. Anal. Chem, 2001, 73(17): 4364- 4373.
  • 9Takeuchi H, Hashimoto S, Harada I. Simple and efficient method to eliminate spike noise from spectra recorded on charge-coupled device detectors[J]. Appl. Spectrosc, 1993, 47(1): 129-131.
  • 10Zhang D M, Jallad K N, Ben-Amotz D. Stripping of cosmic spike spectral artifacts using a new upper-bound spectrum algorithm [J]. Appl. Spectrosc, 2001, 55(11): 1523-1531.

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