Diesel Engine Oil Soot Estimation Using CA90 and Exhaust Opacity
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Solution Overview
Problem
Current methods for estimating soot particles in diesel engine oil are complex, unreliable, and costly, relying on expensive sensors and multiple parameters, which complicates the optimization of engine oil change intervals and does not effectively prevent soot particles from entering the oil.
Innovation Solution
A method using a cylinder pressure sensor and control unit to estimate the percentage of polluting particles in engine oil over a predetermined time, based on the angle of fuel consumption, opacity of exhaust fumes, and fuel quantity, allowing for real-time estimation and optimization of oil change intervals without relying on engine adjustment parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current methods use expensive sensors and multiple parameters to estimate soot particles, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The invention extracts and isolates the critical parameter CA90 (crankshaft angle at 90% fuel consumption) from the complex multi-parameter monitoring systems. By focusing solely on this single angular parameter combined with fuel injection data, the system achieves soot particle estimation without requiring expensive additional sensors or complex measurement systems.
Solution Approach 2:
The invention replaces expensive, long-lived sensor systems with a computationally-based approach using existing engine control unit data. The estimation relies on processing readily available fuel injection quantities and CA90 angle measurements through mathematical models, eliminating the need for costly dedicated soot sensors while maintaining estimation accuracy.
2Reliability
If current methods use multiple sensors and parameters, then measurement reliability is improved, but ease of operation deteriorates
Solution Approach 1:
The invention makes the engine control unit self-sufficient by utilizing its own existing measurements (fuel injection quantity and CA90 angle) to estimate soot particle levels. The system processes data already being collected for engine control purposes, eliminating dependence on external sensors and simplifying implementation while maintaining reliability.
3Productivity
If engine oil change intervals are extended to reduce maintenance costs, then productivity is improved, but engine reliability may deteriorate due to accumulated soot
Solution Approach 1:
The invention implements a feedback-based oil change optimization system that continuously monitors soot particle accumulation through CA90 and fuel injection data. The control unit calculates real-time soot levels and provides feedback on optimal oil change timing, allowing extension of service intervals when soot accumulation is low while ensuring timely changes when accumulation reaches critical levels, thus maintaining reliability while improving productivity.
Data Source
Figure 1~2
AI summary
Method for optimizing the interval of changing the engine oil in a diesel internal combustion engine comprising at least one cylinder pressure sensor and one control unit, in which a percentage by weight of polluting particles (TMC) in the engine oil is estimated for a time step, according to the value of an angle (CA90), in crank angle degrees, for which 90% of the fuel has been consumed according to the pressure measured in the cylinder, a value of the opacity of the exhaust fumes (FSN) and the quantity (Qe) of fuel injected into the combustion chamber.