Cam Phaser Air Dynamic Detection for Engine Control
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Solution Overview
Problem
Conventional methods for estimating air in internal combustion engines fail to accurately detect transient and steady state operating conditions of cam phasers, leading to inaccurate air estimation during cam phaser movement.
Innovation Solution
An air dynamic steady state detection system that employs cam position sensing devices and a control module to differentiate between transient and steady state conditions using filters, and calculates estimated air values based on speed density calculations or mass airflow sensor signals accordingly, controlling fuel injection to maintain optimal air-fuel ratios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If mass airflow sensor measurements are used to estimate air, then the method is simple to implement, but the accuracy deteriorates during cam phaser movement
Solution Approach 1:
The system dynamically switches between two air estimation methods based on cam phaser operating conditions. A cam phaser state detector identifies whether the cam phaser is in steady state or transient state, and the air estimator selectively applies mass airflow sensor-based estimation for steady state and speed density calculation for transient state, thereby maintaining accuracy across all operating conditions while keeping the system relatively simple to implement
Solution Approach 2:
The system changes the estimation method parameter based on cam phaser state. When the cam phaser state detector determines transient operation, the system switches from mass airflow sensor estimation to speed density calculation, effectively changing the operational parameters to maintain accuracy during dynamic conditions
2Measurement precision
If speed density calculations are used to estimate air, then the accuracy improves during transient conditions, but the complexity of the system increases
Solution Approach 1:
The air estimation function is segmented into two distinct methods: mass airflow sensor-based estimation for steady state conditions and speed density calculation for transient conditions. The cam phaser state detector divides the operating conditions, and the air estimator selectively applies the appropriate method, reducing overall system complexity by using each method only when most effective
Solution Approach 2:
The system dynamically selects between two air estimation methods based on real-time cam phaser state detection. Rather than always using the more accurate but complex speed density calculation, the system switches to the simpler mass airflow sensor method during steady state, reducing computational complexity while maintaining accuracy
3Ease of operation
If conventional air estimation methods are used, then the system is simple to operate, but the ability to detect cam phaser operating conditions is lost
Solution Approach 1:
A cam phaser state detector acts as an intermediary component that monitors cam phaser position and determines operating state. This detector provides state information to the air estimator, enabling selective application of appropriate estimation methods without complicating the overall system operation
Solution Approach 2:
The system implements feedback through the cam phaser state detector that continuously monitors cam phaser position and feeds state information back to the air estimator. This feedback mechanism enables the system to automatically adjust the air estimation method based on current operating conditions, maintaining ease of operation while preserving detection capability
Data Source
AI summary
An air dynamic steady state detection system for movement of a cam phaser of an internal combustion engine includes a cam position sensing device and a control module. The cam position sensing device generates a position signal based on a position of the cam phaser of the engine. The control module receives the position signal and applies first and second filters to the position signal to select either a transient or steady state condition. The control module also calculates an estimated air value based on the selection of the transient or steady state condition.