| PREDICTION OF VEHICLE ENGINE OIL VISCOSITY USING
OBDII SIGNAL |
| Sung Pil Jung , Duck Hyun Yu |
| Premium Vehicle R&D Center, Korea Automotive Technology Institute |
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| ABSTRACT |
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This study presents a method for predicting the viscosity of engine oil by using information on the amount of
increase in coolant temperature and outside temperature that can be measured in OBDII of automobiles. In every driving
distance of 3000 ~ 5000 km, the amount of coolant temperature rise over time was measured through the OBDII output
terminal in the environmental chamber, and the time for the coolant temperature to reach a specific value was defined as the
coolant characteristic value. After measuring the actual vehicle, engine oil was extracted and the viscosity was measured to
analyze the correlation between the coolant temperature rise and the viscosity. The coolant characteristics measured at a
mileage of 10,137 km show similar levels of 78.6 % of the initial value and 74.3 % of the initial value of engine oil, coolant
characteristic value and engine oil viscosity show a close relationship. Through engineering analysis, a mathematical formula
and ANN model that can predict the engine oil viscosity value according to the change in coolant characteristics and outside
temperature was proposed. |
| Key Words:
Engine oil, Coolant temperature, Outside temperature, OBDII, Mathematical formula, ANN |
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Corresponding Author.
Sung Pil Jung , Email. 
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