Delta Pressure Sensor Icing Detection Logic
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Solution Overview
Problem
Existing methods for detecting icing conditions in delta pressure sensors are inadequate in terms of accuracy, adaptability, complexity, precision, and robustness, leading to impaired sensor operation and a need for improved diagnostic techniques.
Innovation Solution
The implementation of an electronic control system that includes dynamic sensor heat transfer evaluation logic, cold sensor condition evaluation logic, and sensed pressure deviation evaluation logic to determine an icing condition in delta pressure sensors, using models like integral lump capacitance to assess heat transfer and pressure deviations, and generating an inhibit signal to prevent engine system diagnostics from being affected by icing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing methods are used to detect icing conditions in delta pressure sensors, then the detection process is simple, but the accuracy and reliability of icing detection deteriorates
Solution Approach 1:
The detection system is segmented into multiple independent evaluation logic modules: dynamic sensor heat transfer evaluation logic, cold sensor condition evaluation logic, and sensed pressure deviation evaluation logic. Each module independently evaluates specific aspects of icing conditions, improving overall detection accuracy while maintaining manageable system complexity through modular design.
Solution Approach 2:
The system employs dynamic evaluation that continuously monitors and updates sensor conditions based on real-time data. The dynamic sensor heat transfer evaluation logic adapts to changing environmental conditions, allowing the system to maintain high detection accuracy across varying operating conditions without requiring an overly complex fixed-threshold system.
2Reliability
If dynamic modeling of heat transfer and pressure deviations is implemented, then the reliability of sensor operation improves, but the computational complexity increases
Solution Approach 1:
The system performs preliminary evaluations of heat transfer conditions and pressure deviations before making final icing determinations. The dynamic sensor heat transfer evaluation logic and cold sensor condition evaluation logic assess potential icing risks in advance, allowing the system to maintain high reliability by proactively identifying conditions that may lead to sensor failure.
Solution Approach 2:
The system introduces intermediary evaluation layers between raw sensor data and final icing detection. The multiple evaluation logic modules act as intermediaries that process and interpret sensor data through specific physical models (heat transfer, pressure deviation), improving reliability by adding analytical depth while managing computational complexity through focused, specialized evaluation functions.
3Measurement precision
If multiple evaluation logic modules are used to assess icing conditions, then the precision of detection improves, but the system complexity increases
Solution Approach 1:
The detection system is divided into distinct evaluation logic modules, each responsible for specific aspects of icing detection: heat transfer evaluation, cold sensor condition evaluation, and pressure deviation evaluation. This segmentation improves detection precision by dedicating specialized logic to each physical phenomenon while managing system complexity through modular, independent components.
Solution Approach 2:
The electronic control system integrates multiple evaluation logic modules within a single unified platform that processes sensor data comprehensively. This multi-functional approach improves detection precision by considering multiple physical factors simultaneously while managing complexity through a consolidated control architecture that coordinates all evaluation functions.
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 effectively identifies icing conditions in delta pressure sensors, ensuring accurate and reliable operation by dynamically modeling heat transfer and pressure deviations, thereby preventing diagnostic inaccuracies and maintaining engine system performance.
Implementation Method 1
dynamically modeling a sensor heat transfer condition indicative of heating or cooling of the delta pressure sensor
Implementation Method 2
using models like integral lump capacitance to assess heat transfer
Implementation Method 3
determine a sensed pressure deviation condition indicative of deviation of the pressure difference sensed by the delta pressure sensor from an expected pressure
Data Source
AI summary
An engine system includes a delta pressure sensor configured to sense a pressure difference across an engine exhaust handling component and an electronic control system configured to determine a cold sensor condition permitting icing of the delta pressure sensor, determine a sensed pressure deviation condition indicative of deviation of the pressure difference sensed by the delta pressure sensor from a deviation limit, dynamically model a sensor heat transfer condition indicative of heating or cooling of the delta pressure sensor, determine that the sensor heat transfer condition is indicative of insufficient heating of the delta pressure sensor to mitigate icing of the delta pressure sensor, and determine an icing condition of the delta pressure sensor.