Fuel Quality Monitoring via WIF Sensor and Separator Flow Scoring
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Solution Overview
Problem
Existing power systems used in transport, such as those powering transport climate control systems, face challenges in monitoring fuel quality and service issues, which can lead to prime mover performance issues, emissions compliance risks, and potential damage if water content in the fuel exceeds prescribed thresholds.
Innovation Solution
The implementation of a system that includes a fuel/water separator with a water collection reservoir and a Water-In-Fuel (WIF) sensor, monitored by a controller, which determines the fuel quality score based on the water content and fuel flow, triggering alerts for maintenance and quality issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a WIF sensor and fuel quality monitoring system are implemented, then fuel quality and service issues can be monitored in real-time, but device complexity increases
Solution Approach 1:
The patent introduces a controller as an intermediary component that receives signals from the WIF sensor and processes fuel quality data. The controller acts as a mediator between the sensor and the monitoring system, simplifying the overall architecture by centralizing data processing and decision-making functions in a single dedicated unit rather than distributing complexity across multiple components.
Solution Approach 2:
The controller is designed to perform multiple functions: it monitors water content via the WIF sensor, tracks fuel flow metrics, calculates fuel quality scores, determines filter conditions, and generates maintenance alerts. By consolidating these diverse monitoring and control functions into a single multi-functional controller, the system achieves comprehensive fuel quality monitoring without proportionally increasing device complexity.
2Reliability
If continuous monitoring of water content and fuel flow is performed, then fuel quality issues are detected earlier, but energy consumption increases
Solution Approach 1:
The monitoring system performs measurements and calculations at periodic intervals rather than continuously. The controller periodically reads the WIF sensor output and fuel flow data, calculates fuel quality scores at scheduled intervals, and generates maintenance alerts based on accumulated data. This periodic operation reduces energy consumption compared to continuous monitoring while still providing timely detection of fuel quality issues.
Solution Approach 2:
The system monitors only the critical parameters necessary for fuel quality assessment (water content and fuel flow) rather than all possible fuel system parameters. By focusing measurement efforts on these key indicators and using them to calculate a composite fuel quality score, the system achieves effective monitoring with minimal energy expenditure on sensing and data processing.
3Measurement precision
If fuel quality score calculation is implemented, then comprehensive fuel quality assessment is achieved, but computational requirements and system complexity increase
Solution Approach 1:
The system transforms multiple raw parameters (water content from WIF sensor, fuel flow rate, filter differential pressure) into a single composite fuel quality score through calculated relationships. By changing the representation of fuel quality from multiple separate measurements to a unified score, the system achieves comprehensive assessment while simplifying the complexity of data interpretation and maintenance decision-making.
Solution Approach 2:
The fuel quality score functions as a composite indicator that integrates multiple fuel system parameters into a single assessment metric. Similar to how composite materials combine different properties, the composite fuel quality score combines water content, fuel flow, and filter condition data to provide a holistic view of fuel quality, making the system more manageable without sacrificing assessment precision.
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 solution enables real-time monitoring and reporting of fuel quality issues, filter conditions, and adherence to maintenance processes, providing early indicators of potential power system failures and ensuring compliance with performance and emissions standards.
Implementation Method 1
a fuel/water separator that separates water from fuel passing through it
Implementation Method 2
a water collection reservoir of the fuel/water separator configured to collect water separated from the fuel
Implementation Method 3
a WIF sensor configured to measure an amount of the water accumulated in the water collection reservoir
Data Source
Figure 1A
Figure 1B
Figure 1C
AI summary
A method for monitoring fuel quality of a power system used in transport is provided. The method includes a controller of the power system determining that the prime mover is actively running. The method also includes the controller monitoring an output of a water-in-fuel (WIF) sensor configured to measure an amount of water accumulated in a water collection reservoir of a fuel/water separator that separates water from fuel passing there through. Also, the method includes the controller determining an amount of fuel passing through the fuel/water separator. Further, the method includes the controller calculating a fuel quality score of the fuel based on the output of the WIF sensor and the amount of fuel having passed through the fuel/water separator. The method further includes the controller triggering different alerts based on the calculated fuel quality score.