Filter State Estimation Using Oil Temperature and Bypass Valve
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Solution Overview
Problem
Existing filter state estimation systems cannot accurately determine the clogging state of a filter element until it is fully clogged, lacking insight into the filter's state before clogging occurs.
Innovation Solution
A filter state estimation system that includes sensors to detect the open or closed state of a bypass channel valve and a temperature sensor to estimate the filter's state based on oil temperature, allowing for prediction of filter clogging and replacement timing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a bypass channel with a valve is provided to notify when the filter element is clogged, then the filter clogging notification function is improved, but the ability to estimate the filter state before clogging occurs deteriorates
Solution Approach 1:
The patent applies preliminary action by measuring the differential pressure across the filter element continuously before the bypass valve opens. The state estimation unit calculates the clogging state using the differential pressure data and temperature data, enabling estimation of the filter element's clogging state in advance of the bypass valve activation, thus preserving information about the filter's condition before clogging occurs.
2Device complexity
If only valve open/closed state detection is used, then the detection system remains simple, but the measurement precision of filter state deteriorates
Solution Approach 1:
The patent applies multi-functionality by using the differential pressure sensor for multiple purposes: it not only triggers the bypass valve operation but also provides continuous data to the state estimation unit for calculating the clogging state. Additionally, the temperature sensor data is integrated into the same estimation system, allowing a single detection framework to provide both control signals and precise measurement information about filter element condition.
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
Enables accurate estimation of filter clogging and prediction of filter lifetime, facilitating timely replacement and maintaining hydraulic system efficiency.
Implementation Method 1
a temperature sensor configured to detect a temperature of the hydraulic oil
Implementation Method 2
a valve provided in the bypass channel and configured to be opened and closed based on a differential pressure
Data Source
AI summary
A filter state estimation system is configured to estimate a state of a filter provided in a hydraulic circuit. The hydraulic circuit includes: the filter; a bypass channel circumventing the filter and through which an oil flows; and a valve provided in the bypass channel and configured to be opened and closed based on a differential pressure. The filter state estimation system includes: a sensor to detect that the valve is in an open state or in a closed state; a temperature sensor to detect a temperature of the oil; and a state estimating unit to estimate a state of the filter based on detection results detected by the sensor and the temperature sensor. The state estimating unit estimates the state of the filter based on the temperature of the oil which is detected by the temperature sensor when the sensor detects that the valve is in the open state.