Stotsky A.A. Automotive Engines. Control, Estimation, Statistical Detection

Springer-Verlag Berlin Heidelberg, 2009. 215 р. ISBN:978-3-642-00163-5

Contents
Part I Idle Speed Control, Adaptive Flow Estimation and Spline Interpolation
Idle Speed Control with Estimation of Unmeasurable
Disturbances
Introduction
Engine Model
Problem Statement
Control Design
Observer Design for Disturbance Torque Td(t)
Control Law Design for a Spark Advance
Control Law Design for Throttle
Stability Analysis of the System
Simulation Results
Conclusion
Cylinder Flow Estimation
Introduction
Air Charge Determination Using Input Observer
Input Estimation Algorithms: General Case
Input Observer Application to Charge Estimation
Experimental Evaluation
Composite Adaptive Engine Air Charge Estimation
Composite Adaptive Algorithms: General Case
Derivation of Composite Adaptive Air Charge Estimator
Improving Feedforward via Leaing
Evaluation
Air Charge Prediction
Concluding Remarks
Recursive Spline Interpolation Method
Introduction
The Estimation of the Derivatives of Signal via Spline Interpolation
Second Order Example
Spline Interpolation Method
Combination of High Gain Observer and Spline Interpolation Method and Their Comparative Analysis
Implementation Results: Crankshaft Acceleration Estimation
Conclusion
Part II Engine Torque and Friction Estimation
Engine Torque Estimation
Introduction
Problem Statement
Recursive Trigonometric Interpolation Method
General Description
Computationally Efficient Filtering Algorithms
Filtering Technique Based on the Kaczmarz Projection Method
Estimation of the Engine Torque via Crankshaft Speed
Fluctuations
Conclusion
Engine Friction Estimation at Start
Introduction
Impact on Drivability
Problem Statement
Estimation of the Friction Torque at Start
Adaptation Algorithms for Look-up Tables
Problem Statement
General Adaptation Algorithms for Look-Up Tables
Adaptation Algorithms of the Engine Friction Torque Look-up Table
Conclusions
Data-Driven Algorithms for Engine Friction Estimation
Introduction
Estimation of Engine Losses During Fuel Cut Off State
Problem Statement
Filtering Technique
Adaptation of the Friction Torque Look-up Table
Description of Adaptation Algorithm for Look-up Tables
Adaptation Algorithm for Engine Friction Look-up Table
Conclusion
Part III Engine Misfire and Cam Profile Switching State Detection
Statistical Engine Misfire Detection
Introduction
Recursive Trigonometric Interpolation Algorithms
Problem Statement
Recursive Algorithms for Trigonometric Interpolation
Correction of the Recursive Algorithms for Round-Off Errors
Filtering Technique Based on Trigonometric Interpolation Method
Statistical Misfire Detection Technique
Misfire Detection at the Combustion Frequency
Misfire Detection at the Half-Order Frequency
Conclusion
The Cam Profile Switching State Detection Method
Introduction
The CPS State Detection Algorithm
Conclusion
Part IV Engine Knock
Statistical Engine Knock Detection
Introduction
Recursive Trigonometric Interpolation Algorithms
Problem Statement
Knock Detection Algorithms
Step1: Knock Detection by Using the Cylinder Pressure Signal
Step2: Knock Detection by Using the Knock Sensor Signal
Conclusion
Statistical Engine Knock Control
Introduction
Statistical Models of the Knock Sensor and Microphone Signals
Generation of the Amplitude Signals
Threshold Value Determination
Knock Sound Model
Engine Knock Control with Desired ?-risk
Introduction
Control Aims
Trade-off Between the ?-risk and Fuel Consumption
Control Algorithm
Simulation of the Closed Loop Knock Control System
Adaptation of the Threshold Value
Conclusion
Appendix A
Appendix B
Appendix C
Appendix D
Hypotheses Tests
One Sample t-Test
Two Sample t-Tests
One Sample ?2-Test (Test on the Variance)
Test for Equal Variances (F-test)
A Statistical Transient Detection
Outlier Detection and Confidence Intervals as Thresholds
7 Change in Mean Test Based on Neyman-Pearson Lemma
Appendix E
References