Automated Engine Oil Dilution Analysis System
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Solution Overview
Problem
Current methods for measuring oil dilution in vehicle engines are manual, time-consuming, and lack the ability to identify specific driving conditions that cause oil dilution, leading to inaccurate analysis and potential engine wear.
Innovation Solution
An automated oil dilution analysis system that takes multiple oil samples throughout a drive cycle, correlates engine operating parameters with oil dilution levels using machine learning algorithms, and assigns weighting factors to different driving conditions to pinpoint contributing factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual sampling methods are used before and after drive cycle tests, then safety concerns are avoided (no sampling during engine operation), but the ability to identify specific driving conditions causing oil dilution is lost and information completeness is reduced
Solution Approach 1:
The system performs preliminary actions by installing the sampling apparatus and configuring it during engine operation, but actually takes samples at predetermined intervals during the drive cycle. The controller is pre-programmed with sampling triggers based on engine operating parameters, allowing automated sampling without manual intervention during critical measurement periods.
Solution Approach 2:
The patent introduces an automated sampling apparatus as an intermediary between the engine oil system and the analysis system. This intermediary device includes a sampling valve, pump, and container system that automatically extracts oil samples at predetermined intervals and transfers them to storage containers, eliminating the need for manual sampling while enabling continuous monitoring of oil dilution under various driving conditions.
2Measurement precision
If multiple oil samples are taken throughout the drive cycle, then the ability to identify specific driving conditions contributing to oil dilution is improved, but the complexity of the sampling system increases
Solution Approach 1:
The drive cycle is segmented into multiple measurement intervals, with oil samples collected at predetermined times throughout the test. The controller divides the continuous drive cycle into discrete sampling periods, allowing engineers to correlate oil dilution measurements with specific driving conditions (cold start, acceleration, deceleration, idle) that occur during different segments of the test.
Solution Approach 2:
The sampling apparatus is designed with multi-functionality to handle various sampling requirements. The same apparatus can sample from different engine locations (crankcase, oil gallery), store multiple samples in separate containers, and interface with different analysis methods. The controller can be programmed with different sampling schedules and criteria, making the system adaptable to various test protocols without requiring separate dedicated equipment for each function.
3Productivity
If automated sampling and analysis is implemented, then productivity and accuracy of oil dilution analysis are improved, but device complexity and initial resource requirements increase
Solution Approach 1:
The system performs self-service by automatically executing the entire sampling and analysis process without continuous human intervention. The controller monitors engine operating parameters, automatically triggers sampling at predetermined intervals, transfers samples to storage containers, and initiates analysis. The system even generates reports correlating oil dilution measurements with driving conditions, eliminating the need for manual sample collection, laboratory analysis coordination, and data interpretation.
Solution Approach 2:
The system implements feedback by continuously monitoring engine operating parameters (temperature, speed, load) and using this information to correlate with oil dilution measurements. The controller receives feedback from sensors throughout the drive cycle and uses this data to identify which specific driving conditions contributed to observed oil dilution levels. This feedback mechanism allows the system to automatically adjust sampling timing and generate meaningful conclusions about engine lubrication performance under various operating conditions.
Data Source
AI summary
A system is presented for analyzing lubricant composition of a vehicle engine. The system includes the vehicle engine; sensors; a controller in communication with the sensors; and a lubrication sampling apparatus coupled to the controller and the engine's lubrication system. The sampling apparatus is configured to: transfer a first sample of the lubricant into a first sample container and a second sample of the lubricant a second sample container. The controller is configured to: receive first sensor readings over a time period of the first sample and second sensor readings over a time period of the second sample; receive a composition analysis of the first sample and a composition analysis of the second sample; and generate a report comprising: the first composition analyses, the first sensor readings, the second composition analysis, and the second sensor readings.