Valve Event Detection via Knock Sensor Vibration Analysis
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Solution Overview
Problem
Current valve event detection and control systems in combustion engines are inefficient in identifying and correcting issues such as valve lash misadjustment, excessive peak cylinder pressure, and other valve-related problems, leading to reduced engine efficiency and maintenance challenges.
Innovation Solution
The implementation of a system that uses knock sensors to detect vibration signals, correlates them with statistical valve train models and ADSR envelopes, and adjusts valve timing and lift dynamically to correct valve events, allowing for real-time monitoring and control of valve operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional valve event detection methods are used, then the system structure is simple, but the detection precision and reliability are insufficient
Solution Approach 1:
The patent replaces traditional mechanical valve event detection systems with an acoustic-based detection system using knock sensors and signal processing. The system uses vibration/acoustic signal analysis with ADSR envelope correlation and statistical modeling to detect valve events, substituting mechanical linkages and direct contact detection with non-contact acoustic field measurement and digital signal processing.
Solution Approach 2:
The patent introduces an intermediary signal processing layer between the physical valve events and the detection system. Knock sensors capture acoustic vibrations, which are then processed through ADSR envelope analysis and statistical valve train models to indirectly detect valve events. This intermediary acoustic signal and processing layer enables precise detection without direct mechanical contact.
2Productivity
If real-time valve control is implemented, then engine efficiency is improved, but the control system complexity increases
Solution Approach 1:
The patent implements a feedback control system where knock sensors continuously monitor valve train acoustic signals, the processor analyzes these signals using ADSR envelope correlation and statistical models to detect valve events in real-time, and the engine control system adjusts valve timing and lift based on detected events. This closed-loop feedback enables real-time optimization of engine efficiency while maintaining manageable complexity through algorithmic control.
Solution Approach 2:
The patent employs dynamic valve control that adjusts valve timing and lift in real-time based on detected valve events. The system transitions from static, pre-programmed valve control to dynamic, adaptive control that responds to actual engine conditions, improving efficiency by optimizing valve operations according to real-time engine state while using flexible software-based control architecture.
3Reliability
If advanced signal processing is used for valve event detection, then detection reliability is improved, but computational requirements increase
Solution Approach 1:
The patent performs preliminary action by pre-calculating and storing reference ADSR envelopes for different valve events during system initialization or manufacturing. These reference templates are stored in memory and used for correlation analysis during operation, avoiding the need to perform complex envelope calculations in real-time. This shifts computational burden from runtime to setup phase, improving detection reliability while reducing operational energy consumption.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances engine efficiency, extends maintenance intervals, and improves the detection and correction of valve-related issues, leading to more precise control and reduced wear on engine components.
Implementation Method 1
receive a vibration signal sensed by a knock sensor disposed in an engine
Data Source
AI summary
In one embodiment, a system includes an engine control system configured to control an engine. The engine control system comprises a processor configured to receive a vibration signal sensed by a knock sensor disposed in an engine. The processor is further configured to correlate the vibration signal with a fingerprint having at least an ADSR envelope indicative of the operating event of a valve train of the combustion engine, analyze the vibration signal with a statistical valve train model, or a combination thereof. The processor is also configured to detect if the operating event has occurred based on correlating of the noise signal with the fingerprint, based on analyzing the vibration signal with a statistical valve train model, or a combination thereof, and to control the valve train based on the operating event.