Engine Oil Fuel Dilution Tracking for Hybrid Cold Starts
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Solution Overview
Problem
In internal combustion engines, fuel can transfer into the engine oil, leading to decreased viscosity and degradation, causing increased component wear, particularly in hybrid electric vehicles where fuel-to-air ratio imbalances occur during cold starts and high-load operations.
Innovation Solution
A method to manage fuel in engine oil by determining fuel flow during cold start and enrichment phases, using lambda sensors to measure excess fuel, and calculating fuel evaporation rates, allowing for a modified service interval based on the percentage of fuel in the oil, thereby optimizing oil changes and reducing wear.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fuel is injected into the engine during cold start phases to ensure correct operation, then engine reliability is improved, but fuel transfer into the engine oil increases causing oil degradation
Solution Approach 1:
The system performs preliminary action by calculating and tracking fuel transfer to oil during cold start phases before significant oil degradation occurs. By proactively monitoring fuel flow into oil during these critical phases and predicting future oil quality, the system enables preventive maintenance scheduling that prevents oil degradation from compromising engine reliability.
2Strength
If fuel is injected into the engine during enrichment phases to reduce cylinder temperature, then engine component protection is improved, but fuel transfer into the engine oil increases causing viscosity decrease
Solution Approach 1:
The system calculates fuel transfer during enrichment phases in advance, tracking the cumulative effect on oil viscosity before degradation becomes critical. This preliminary monitoring enables the service interval extension logic to account for thermal protection benefits while compensating for viscosity changes, maintaining oil stability through predictive scheduling.
3Measurement precision
If lambda sensors and fuel flow monitoring are implemented to measure fuel in oil, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system uses existing lambda sensors and fuel flow data as intermediaries to indirectly measure fuel transfer to oil, rather than implementing direct measurement devices. This intermediary approach leverages available sensor data combined with computational models to achieve precise fuel-in-oil quantification without adding complex dedicated measurement hardware.
Solution Approach 2:
The system replaces potential mechanical fuel transfer measurement devices with computational analysis of electrical sensor data. By using software-based calculations that process lambda sensor readings and fuel injection data, the system achieves precise measurement while avoiding complex mechanical measurement mechanisms.
4Loss of time
If service intervals are extended based on fuel evaporation calculations, then loss of time is reduced, but measurement precision requirements increase
Solution Approach 1:
The system implements feedback by continuously monitoring fuel evaporation from oil and using this information to dynamically adjust service interval recommendations. The calculated evaporation rates feed back into the service interval extension logic, allowing the system to extend maintenance periods when evaporation is sufficient while maintaining measurement precision through ongoing computational assessment of oil quality conditions.
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
Ensures accurate timing of engine oil changes to prevent degradation, ensuring optimal engine operation by accurately determining fuel levels and evaporation rates, thus extending engine lifespan and performance.
Implementation Method 1
determining an amount of fuel evaporated from the engine oil during one or more phases of vehicle operation with the engine on
Data Source
AI summary
A method of managing fuel in oil 100 in an internal combustion engine of a hybrid electric vehicle, the method comprising: determining an amount of fuel flow into the engine oil during one or more cold start phases of engine operation 110; determining an amount of fuel evaporated from the engine oil during one or more phases of vehicle operation with the engine on 120; determining an amount of fuel evaporated from the engine oil during one or more phases of vehicle operation with the engine off 130; determining a percentage of fuel in the engine oil 140 from the amount of fuel flow into the engine oil and the amount of fuel flow evaporated from the engine oil; and modifying a service interval for the vehicle 150 based on the percentage of fuel in the engine oil.