CN115450728A - Method and system for rapidly detecting degradation degree of vehicle engine oil - Google Patents
Method and system for rapidly detecting degradation degree of vehicle engine oil Download PDFInfo
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F01—MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
- F01M—LUBRICATING OF MACHINES OR ENGINES IN GENERAL; LUBRICATING INTERNAL COMBUSTION ENGINES; CRANKCASE VENTILATING
- F01M11/00—Component parts, details or accessories, not provided for in, or of interest apart from, groups F01M1/00 - F01M9/00
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F01—MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
- F01M—LUBRICATING OF MACHINES OR ENGINES IN GENERAL; LUBRICATING INTERNAL COMBUSTION ENGINES; CRANKCASE VENTILATING
- F01M11/00—Component parts, details or accessories, not provided for in, or of interest apart from, groups F01M1/00 - F01M9/00
- F01M11/10—Indicating devices; Other safety devices
- F01M11/12—Indicating devices; Other safety devices concerning lubricant level
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F01—MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
- F01M—LUBRICATING OF MACHINES OR ENGINES IN GENERAL; LUBRICATING INTERNAL COMBUSTION ENGINES; CRANKCASE VENTILATING
- F01M11/00—Component parts, details or accessories, not provided for in, or of interest apart from, groups F01M1/00 - F01M9/00
- F01M11/10—Indicating devices; Other safety devices
- F01M2011/14—Indicating devices; Other safety devices for indicating the necessity to change the oil
- F01M2011/148—Indicating devices; Other safety devices for indicating the necessity to change the oil by considering viscosity
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Abstract
The invention relates to the technical field of engine oil detection, in particular to a method and a system for rapidly detecting the degradation degree of engine oil of a vehicle, which comprises an engine oil detection module and an AI learning module, wherein the method comprises the steps of S1, assigning preset parameters according to preset operation parameters in a vehicle ECU, and judging whether each sensor has a fault according to the comparison result between the current engine oil viscosity and the current engine oil liquid level height and the corresponding preset parameters respectively; s2, judging whether the current engine oil viscosity and the total engine oil amount meet preset standards or not according to comparison results of the current engine oil viscosity and the total engine oil amount and corresponding preset parameters respectively; s3, calculating the relationship between the engine oil replacement time and mileage and standing time respectively by learning the viscosity of the historical engine oil; and S4, correcting the oil viscosity replacement time according to the estimated historical relationship. The invention can quickly and accurately judge the degradation degree of the engine oil by directly detecting the degradation degree of the engine oil and detecting the driving habit.
Description
Technical Field
The invention relates to the technical field of engine oil detection, in particular to a method and a system for rapidly detecting the degradation degree of vehicle engine oil.
Background
In view of the fact that the recognition of the change of the engine oil in the vehicle is still limited to the erroneous concept of "5000 km/change", the engine oil needs to be changed due to the degradation of the engine oil, which is mainly reflected in the process of reducing the viscosity of the engine oil from dilution to emulsification, wherein the degradation degree of the engine oil is affected by the engine oil with different qualities, different types of engines, different lengths of standing time, different degrees of driving environments and driving habits, so that the erroneous concept of "5000 km/change" may cause excessive consumption of the service life of the vehicle or excessive consumption of personal economy.
The traditional machine oil identification method comprises the following three methods: the filter paper detection method, the portable engine oil detector and the laboratory engine oil detection analysis have advantages and disadvantages, the error of the filter paper detection method is too far from spectrum and is not accurate enough, the portable engine oil detector utilizes the dielectric constant of the engine oil for detection, but the detection principle of the portable engine oil detector is that the dielectric constant is used for indirect calculation, so when the dielectric constant sensor breaks down, the detection method becomes no longer credible, and although the laboratory engine oil detection analysis directly detects the components and the state of the engine oil, the time and the economic cost are quite high, so that the engine oil degradation degree detection method which can directly detect the engine oil degradation degree rapidly and at low cost and report the real-time engine oil degradation degree to a driver in cooperation with a vehicle ECU is urgently needed, and the engine oil replacement time can be determined scientifically and reasonably.
Chinese patent publication No.: CN107448257B discloses a method for determining engine oil quality degradation, which comprises: obtaining an engine oil viscosity value, an engine oil density value and an engine oil dielectric constant; when the viscosity value of the engine oil exceeds a preset viscosity critical value, the density value of the engine oil exceeds a preset density critical value, the dielectric constant value of the engine oil exceeds a preset dielectric constant critical value, the degradation speed of the engine oil is too high, and if the degradation speed of the engine oil is too high, an alarm is given and a user is reminded that the service life of the engine oil exceeds the service life; the engine oil quality degradation degree is judged according to the engine oil characteristic parameters such as the engine oil viscosity value, the engine oil density value, the engine oil dielectric constant value and the like, a user can be informed of replacing the engine oil in time, the accuracy is higher in teaching of the traditional method, the user has a plurality of degrees of engine oil quality degradation and whether the engine oil is replaced or not, and a large amount of time and money are saved; however, the method for judging the quality degradation of the engine oil does not describe how to obtain the viscosity value, the density value and the dielectric constant of the engine oil, the application environment is too single, the adaptability is poor, the dielectric constant of the engine oil is influenced by different brands and models of engine oil, and the dielectric constants are inconsistent, so that the early preparation work of the method is too complicated and tedious, and intelligent automation cannot be realized.
Disclosure of Invention
Therefore, the invention provides a method and a system for rapidly detecting the degradation degree of vehicle engine oil, which are used for solving the problems that the engine oil degradation is judged complexly and the engine oil replacement time cannot be judged in real time directly according to the current engine oil viscosity and the driving habit in the prior art.
To achieve the above object, the present invention provides a method for rapidly detecting a degree of deterioration of a vehicle oil, comprising:
the method comprises the following steps that S1, an engine oil detection module obtains vehicle operation parameters preset in a vehicle ECU, the vehicle operation parameters comprise the current working temperature, the current mileage, the vehicle standing time, the total engine oil amount and the engine oil temperature of an engine, the engine oil detection module obtains current engine oil viscosity data according to the average value of a plurality of engine oil viscosity data sent back by a plurality of engine oil viscosity sensors arranged in an engine oil tank, whether faults exist in the engine oil viscosity sensors corresponding to the engine oil viscosity data or not is judged according to the current engine oil viscosity data, the engine oil detection module also judges whether the current engine oil liquid level height meets the preset engine oil liquid level height or not according to a plurality of distance data sent back by a plurality of ultrasonic distance measuring sensors arranged at the top of the engine oil tank, and whether faults exist in the ultrasonic distance measuring sensors corresponding to the engine oil liquid level height or not is judged according to the current engine oil liquid level height;
s2, judging whether the current engine oil viscosity accords with a preset viscosity parameter or not by the engine oil detection module according to a comparison result of the current engine oil viscosity data and the preset engine oil viscosity parameter, if the current engine oil viscosity is larger than the preset viscosity parameter, the current engine oil does not need to be replaced, if the current engine oil viscosity is smaller than or equal to the preset viscosity parameter, the current engine oil needs to be replaced, and outputting an engine oil replacement prompt to the vehicle ECU by the engine oil detection module;
s3, marking the abnormally-increased real-time engine oil viscosity data detected by the engine oil detection module and the real-time engine oil viscosity data smaller than or equal to the preset viscosity parameter by the AI learning module, and respectively recording the mileage and the standing time corresponding to the engine oil viscosity data, wherein the AI learning module calculates the relationship between the engine oil viscosity data and the mileage and the standing time respectively according to the mileage and the standing time corresponding to the marked engine oil viscosity data;
and S4, the AI learning module calculates the engine oil change time corresponding to the current engine oil viscosity data according to the relationship between the engine oil viscosity data and the mileage and the standing time, corrects the engine oil change time corresponding to the current engine oil viscosity data according to the current driving habits of the vehicle, and outputs the engine oil change time to the vehicle ECU.
In step S1, the number of the oil viscosity sensors disposed inside the oil tank is preferably three, and the set heights of the oil viscosity sensors are not equal, and the oil detection module determines whether a fault exists in the oil viscosity sensor corresponding to each oil viscosity data according to a comparison result between the difference between the current oil viscosity data OV0 and each of the oil viscosity data OV1, OV2, and OV3 and a preset viscosity error parameter OVP, wherein,
when the absolute value of OV0-OV1 is more than or equal to OVP, the engine oil detection module judges that the engine oil viscosity sensor corresponding to OV1 has faults and outputs a prompt that the engine oil viscosity sensor corresponding to OV1 or the engine oil at the position is abnormal to a vehicle ECU;
when the absolute value of OV0-OV2 is more than or equal to OVP, the engine oil detection module judges that the engine oil viscosity sensor corresponding to OV2 has faults and outputs a prompt that the engine oil viscosity sensor corresponding to OV2 or the engine oil at the position is abnormal to a vehicle ECU;
when the absolute value of OV0-OV3 is more than or equal to OVP, the engine oil detection module judges that the engine oil viscosity sensor corresponding to OV3 has faults and outputs a prompt that the engine oil viscosity sensor corresponding to OV3 or the engine oil at the position is abnormal to the vehicle ECU;
if the engine oil detection module judges that the number of the engine oil viscosity sensors with faults is more than one within a preset time period, the engine oil detection module outputs a prompt of abnormity of each engine oil viscosity sensor to a vehicle ECU (electronic control Unit), prompts a driver to go to a 4S store for troubleshooting of the engine oil viscosity sensors as soon as possible, the engine oil viscosity sensors may have the conditions of impurity blockage and the like, and detects the current engine oil state;
in step S1, the number of the ultrasonic ranging sensors arranged at the top of the oil tank is preferably three, the ultrasonic ranging sensors are uniformly distributed at the top of the oil tank, the oil detection module judges whether the total amount of the oil in the oil tank meets a preset standard or not according to a comparison result of an average value of the height of the liquid level of the oil detected by the ultrasonic ranging sensors and a preset height parameter, wherein the preset height value comprises the preset height parameter in a vehicle running state and the preset height parameter in a vehicle standing state,
when the average value of the current oil liquid level height in the vehicle running state is greater than the preset height parameter in the vehicle running state, the oil detection module judges that the current oil does not need to be supplemented, and when the average value of the current oil liquid level height in the vehicle running state is less than or equal to the preset height parameter in the vehicle running state, the oil detection module judges that the current oil needs to be supplemented and outputs an oil adding prompt to a vehicle ECU;
when the average value of the current oil liquid level height in the vehicle standing state is larger than the preset height parameter in the vehicle standing state, the oil detection module judges that the current oil does not need to be supplemented, and when the average value of the current oil liquid level height in the vehicle standing state is smaller than or equal to the preset height parameter in the vehicle running state, the oil detection module judges that the current oil needs to be supplemented, and outputs an oil adding prompt to the vehicle ECU.
In step S1, the oil detection module determines whether a fault exists in the ultrasonic ranging sensor corresponding to each oil liquid level height according to a comparison result between the difference between the average oil liquid level height LL0 and each of the oil liquid level heights LL1, LL2, and LL3 and a preset height error parameter LLP, wherein,
when the absolute value LL0-LL1 is more than or equal to LLP, the engine oil detection module judges that the ultrasonic ranging sensor corresponding to the LL1 has a fault and outputs a prompt that the ultrasonic ranging sensor corresponding to the LL1 is abnormal to the vehicle ECU;
when the absolute value LL0-LL2 is more than or equal to LLP, the engine oil detection module judges that the ultrasonic ranging sensor corresponding to the LL2 has a fault and outputs a prompt that the ultrasonic ranging sensor corresponding to the LL2 is abnormal to the vehicle ECU;
when LL0-LL3 is larger than or equal to LLP, the engine oil detection module judges that the ultrasonic ranging sensor corresponding to LL3 has a fault and outputs a prompt that the ultrasonic ranging sensor corresponding to LL3 is abnormal to the vehicle ECU;
if the engine oil detection module judges that the number of the ultrasonic ranging sensors with faults is more than one within a preset time period, the engine oil detection module outputs a prompt to a vehicle ECU that each ultrasonic ranging sensor is abnormal, prompts a driver to go to a 4S store as soon as possible to check the faults of the ultrasonic ranging sensors, the ultrasonic ranging sensors are possibly covered by engine oil impurities, and the current engine oil state is detected;
in step S2, the engine oil detection module determines whether the current engine oil viscosity meets a preset viscosity parameter according to a comparison result between the current engine oil viscosity data and a preset engine oil viscosity parameter, wherein the preset viscosity parameter includes a normal temperature viscosity parameter and a high temperature viscosity parameter,
when the viscosity of the current engine oil at high temperature is greater than the high-temperature viscosity parameter, the engine oil detection module judges that the current engine oil does not need to be replaced, and when the viscosity of the current engine oil at high temperature is less than or equal to the high-temperature preset viscosity parameter, the engine oil detection module judges that the current engine oil needs to be replaced and outputs an engine oil replacement prompt to the vehicle ECU;
when the current engine oil viscosity is larger than the normal-temperature viscosity parameter at the normal temperature, the engine oil detection module judges that the current engine oil does not need to be replaced, and when the current engine oil viscosity is smaller than or equal to the normal-temperature preset viscosity parameter at the normal temperature, the engine oil detection module judges that the current engine oil needs to be replaced and outputs an engine oil replacement prompt to the vehicle ECU.
Specifically, the high temperature refers to the case temperature at the time of normal operation of the internal combustion engine, i.e., 80 to 105 degrees, and does not include the temperature in the combustion chamber at the time of normal operation of the internal combustion engine.
In step S3, the AI learning module marks the current oil viscosity data of abnormal rise detected by the oil detection module and the current oil viscosity data of less than or equal to the preset viscosity parameter, and records mileage and standing time corresponding to the oil viscosity data thereof, respectively, wherein,
the abnormally-increased current engine oil viscosity data detected by the engine oil detection module is the current engine oil viscosity data of the engine oil after the engine oil is replaced, the current engine oil viscosity data detected by the engine oil detection module and smaller than or equal to the preset viscosity parameter is the current engine oil viscosity data of the engine oil before the engine oil is replaced, and the AI learning module judges that the viscosity of the data of the current engine oil viscosity of the engine oil after the engine oil is replaced is reduced to the advancing mileage and the standing time corresponding to the data of the current engine oil viscosity of the engine oil before the engine oil is replaced.
In step S3, the AI learning module calculates, according to the mileage and the standing time corresponding to the labeled oil viscosity data, a relationship between the oil viscosity data and the mileage and the standing time, respectively, and obtains an oil viscosity reduction rate corresponding to the mileage at a high temperature when the oil viscosity is x and an oil viscosity reduction rate corresponding to the standing time at a normal temperature when the oil viscosity is x, respectively.
In step S4, the AI learning module calculates the oil change time corresponding to the current oil viscosity data according to the relationship between the oil viscosity data and the mileage and the standing time, wherein,
the AI learning module substitutes the current oil viscosity data into the oil viscosity reduction rate corresponding to the mileage at the high temperature when the oil viscosity is x and the oil viscosity reduction rate corresponding to the standing time at the normal temperature when the oil viscosity is x respectively, and calculates the oil change time corresponding to the current oil viscosity data in the current vehicle running state or the standing state.
In step S4, the AI learning module corrects the oil change time corresponding to the current oil viscosity data according to the current driving habits of the vehicle, wherein,
the AI learning module calculates the current driving habit of the vehicle according to the traveling mileage and the standing time length of the marked oil viscosity data in each time interval, wherein the current driving habit of the vehicle is that the average of all time periods when the oil viscosity data is reduced from x to a preset viscosity parameter is taken as a period, the average of all mileage and standing time when the vehicle travels in the period is taken as the ratio of the mileage to the standing time, and the ratio of the remaining mileage in the period corresponding to the oil viscosity data of x to the standing time is corrected according to the ratio in the current driving habit of the vehicle so as to correct the oil change time corresponding to the oil viscosity data of the current oil in the vehicle running state or the standing state.
In step S4, the AI learning module outputs the oil change time to the vehicle ECU, where the oil change time output to the vehicle ECU includes an oil change time corresponding to the current oil viscosity data when the vehicle is always in a running state and an oil change time corresponding to the current oil viscosity data when the vehicle is always in a standing state.
Meanwhile, the invention also provides a system for rapidly detecting the degradation degree of the vehicle engine oil, which comprises an engine oil detection module and an AI learning module, wherein,
the engine oil detection module is connected with the vehicle ECU and used for obtaining vehicle operation parameters and assigning preset parameters of the total engine oil amount, the engine oil temperature and the engine oil viscosity according to the regulations on the total engine oil amount, the engine oil temperature and the engine oil viscosity in the vehicle operation parameters, the engine oil detection module comprises a plurality of engine oil viscosity sensors and a plurality of ultrasonic ranging sensors, the engine oil viscosity sensors are arranged in the engine oil tank and used for obtaining engine oil viscosity values at different heights in the engine oil tank, the ultrasonic ranging sensors are arranged at the top of the engine oil tank and used for obtaining the engine oil liquid level heights at different positions in the engine oil tank, and the engine oil detection module is further used for judging whether the current engine oil viscosity state and the total engine oil amount meet preset standards according to comparison results of the engine oil viscosity values and the engine oil liquid level heights with the preset parameters respectively;
the AI learning module is respectively connected with the engine oil detection module and the vehicle ECU and used for storing and learning the values detected by the engine oil detection module, correcting the current engine oil replacement time in real time according to the stored historical values, and outputting the engine oil replacement time in different temperature states to the vehicle ECU so as to display the engine oil replacement time through a vehicle instrument panel.
Compared with the prior art, the invention has the advantages that firstly, the preset vehicle operation parameters prestored in the vehicle ECU are read through the engine oil detection module, the values of the preset parameters of the total engine oil amount, the engine oil temperature and the engine oil viscosity can be more automatically assigned, and the test-free monitoring can be carried out according to the engine oils with different viscosities required by engines with different models of different vehicles, so that the automation is improved, the labor and test costs are reduced, the application of vehicle production enterprises to test data is enlarged, and the use experience of users is effectively improved, and the cost of the production enterprises is reduced;
furthermore, through a plurality of engine oil viscosity sensors and a plurality of ultrasonic ranging sensors, the current engine oil viscosity and the current engine oil liquid level can be comprehensively detected, the engine oil detection module is used for comprehensively judging the values of the engine oil viscosity and the engine oil liquid level, sensor or engine oil data which are possibly abnormal can be obtained, automatic troubleshooting is realized, the condition that the value is abnormal and wrong judgment is caused due to the fact that a single sensor is in fault is avoided, the resource utilization rate is better guaranteed, and the economic cost is reduced.
Secondly, the AI learning module can judge when the current vehicle should change the engine oil according to the driving habit and driving environment of the current vehicle driver, and meanwhile, according to the engine oil data changed in real time, the engine oil data is mixed and added into different types of engine oils as consideration conditions, and the current vehicle specific driving habit and environment are combined, so that the engine oil changing time of the current vehicle is corrected, and the engine oil changing time is displayed at the same time in different states, so that the driver can better judge when the engine oil should be changed, the driver can conveniently select the idle time for changing, the engine oil changing becomes more intelligent and humanized, meanwhile, the adaptability of the engine oil changing to the vehicle and the driver is improved, and people orientation is really achieved;
furthermore, the current engine oil replacement time is corrected again according to the comparison result of the occupation ratio of the running state in the driving habit and the historical period of engine oil replacement, so that the calculation of the current engine oil replacement can better accord with the current driving environment, the uncertainty factor of a driver on the running state of the vehicle is fully considered, the historical time period is taken as the reference while the real-time adjustment is carried out, the currently obtained engine oil replacement time becomes more accurate and reliable, and the consumption of economic cost is reduced while the vehicle is protected.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1 is a schematic diagram illustrating a method for rapidly detecting a degree of deterioration of engine oil of a vehicle according to an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of a system for rapidly detecting a degree of degradation of engine oil of a vehicle according to an embodiment of the present invention.
Detailed Description
In order that the objects and advantages of the invention will be more clearly understood, the invention is further described in conjunction with the following examples; it should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only for explaining the technical principle of the present invention, and do not limit the scope of the present invention.
It should be noted that in the description of the present invention, the terms of direction or positional relationship indicated by the terms "upper", "lower", "left", "right", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings, which are only for convenience of description, and do not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation, and thus, should not be construed as limiting the present invention.
Furthermore, it should be noted that, in the description of the present invention, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
Please refer to fig. 1, which is a schematic structural diagram illustrating a method for rapidly detecting a degradation degree of engine oil of a vehicle according to an embodiment of the present invention, wherein the method includes:
the method comprises the following steps that S1, an engine oil detection module obtains vehicle operation parameters preset in a vehicle ECU, the vehicle operation parameters comprise the current working temperature, the current mileage, the vehicle standing time, the total engine oil amount and the engine oil temperature of an engine, the engine oil detection module obtains current engine oil viscosity data according to the average value of a plurality of engine oil viscosity data sent back by a plurality of engine oil viscosity sensors arranged in an engine oil tank, whether faults exist in the engine oil viscosity sensors corresponding to the engine oil viscosity data or not is judged according to the current engine oil viscosity data, the engine oil detection module also judges whether the current engine oil liquid level height meets the preset engine oil liquid level height or not according to a plurality of distance data sent back by a plurality of ultrasonic distance measuring sensors arranged at the top of the engine oil tank, and whether faults exist in the ultrasonic distance measuring sensors corresponding to the engine oil liquid level height or not is judged according to the current engine oil liquid level height;
s2, judging whether the current engine oil viscosity accords with a preset viscosity parameter or not by the engine oil detection module according to a comparison result of the current engine oil viscosity data and the preset engine oil viscosity parameter, if the current engine oil viscosity is larger than the preset viscosity parameter, the current engine oil does not need to be replaced, if the current engine oil viscosity is smaller than or equal to the preset viscosity parameter, the current engine oil needs to be replaced, and outputting an engine oil replacement prompt to the vehicle ECU by the engine oil detection module;
s3, marking the abnormally-increased real-time engine oil viscosity data detected by the engine oil detection module and the real-time engine oil viscosity data smaller than or equal to the preset viscosity parameter by the AI learning module, and respectively recording the mileage and the standing time corresponding to the engine oil viscosity data, wherein the AI learning module calculates the relationship between the engine oil viscosity data and the mileage and the standing time respectively according to the mileage and the standing time corresponding to the marked engine oil viscosity data;
and S4, the AI learning module calculates the engine oil change time corresponding to the current engine oil viscosity data according to the relationship between the engine oil viscosity data and the mileage and the standing time, corrects the engine oil change time corresponding to the current engine oil viscosity data according to the current driving habits of the vehicle, and outputs the engine oil change time to the vehicle ECU.
In step S1, the number of the oil viscosity sensors disposed inside the oil tank is preferably three, and the set heights of the oil viscosity sensors are not equal, and the oil detection module determines whether a fault exists in the oil viscosity sensor corresponding to each oil viscosity data according to a comparison result between the difference between the current oil viscosity data OV0 and each of the oil viscosity data OV1, OV2, and OV3 and a preset viscosity error parameter OVP, wherein,
when the absolute value OV0-OV1 is larger than or equal to OVP, the engine oil detection module judges that the engine oil viscosity sensor corresponding to OV1 has faults and outputs a prompt of the engine oil viscosity sensor corresponding to OV1 or abnormal engine oil at the position to a vehicle ECU;
when the absolute value OV0-OV2 is more than or equal to OVP, the engine oil detection module judges that the engine oil viscosity sensor corresponding to OV2 has faults and outputs a prompt of the engine oil viscosity sensor corresponding to OV2 or the abnormal engine oil at the position to a vehicle ECU;
when the absolute value of OV0-OV3 is more than or equal to OVP, the engine oil detection module judges that the engine oil viscosity sensor corresponding to OV3 has faults and outputs a prompt that the engine oil viscosity sensor corresponding to OV3 or the engine oil at the position is abnormal to the vehicle ECU;
if the engine oil detection module judges that the number of the engine oil viscosity sensors with faults is more than one within a preset time period, the engine oil detection module outputs a prompt of abnormity of each engine oil viscosity sensor to a vehicle ECU (electronic control Unit), prompts a driver to go to a 4S store for troubleshooting of the engine oil viscosity sensors as soon as possible, the engine oil viscosity sensors may have the conditions of impurity blockage and the like, and detects the current engine oil state;
in step S1, the number of the ultrasonic ranging sensors arranged at the top of the oil tank is preferably three, the ultrasonic ranging sensors are uniformly distributed at the top of the oil tank, the oil detection module judges whether the total amount of the oil in the oil tank meets a preset standard or not according to a comparison result of an average value of the height of the liquid level of the oil detected by the ultrasonic ranging sensors and a preset height parameter, wherein the preset height value comprises the preset height parameter in a vehicle running state and the preset height parameter in a vehicle standing state,
when the average value of the current oil liquid level height in the vehicle running state is greater than the preset height parameter in the vehicle running state, the oil detection module judges that the current oil does not need to be supplemented, and when the average value of the current oil liquid level height in the vehicle running state is less than or equal to the preset height parameter in the vehicle running state, the oil detection module judges that the current oil needs to be supplemented and outputs an oil adding prompt to a vehicle ECU;
when the average value of the current oil liquid level height in the vehicle standing state is larger than the preset height parameter in the vehicle standing state, the oil detection module judges that the current oil does not need to be supplemented, and when the average value of the current oil liquid level height in the vehicle standing state is smaller than or equal to the preset height parameter in the vehicle running state, the oil detection module judges that the current oil needs to be supplemented, and outputs an oil adding prompt to the vehicle ECU.
In step S1, the oil detection module determines whether a fault exists in the ultrasonic ranging sensor corresponding to each oil liquid level height according to a comparison result between the difference between the average oil liquid level height LL0 and each of the oil liquid level heights LL1, LL2, and LL3 and a preset height error parameter LLP, wherein,
when the absolute value LL0-LL1 is larger than or equal to LLP, the engine oil detection module judges that the ultrasonic ranging sensor corresponding to LL1 has a fault, and outputs a prompt that the ultrasonic ranging sensor corresponding to LL1 is abnormal to the vehicle ECU;
when LL0-LL2 is larger than or equal to LLP, the engine oil detection module judges that the ultrasonic ranging sensor corresponding to LL2 has a fault, and outputs a prompt that the ultrasonic ranging sensor corresponding to LL2 is abnormal to the vehicle ECU;
when the absolute value LL0-LL3 is larger than or equal to LLP, the engine oil detection module judges that the ultrasonic ranging sensor corresponding to the LL3 has a fault and outputs a prompt that the ultrasonic ranging sensor corresponding to the LL3 is abnormal to the vehicle ECU;
if the engine oil detection module judges that the number of the ultrasonic ranging sensors with faults is more than one within a preset time period, the engine oil detection module outputs a prompt to a vehicle ECU that each ultrasonic ranging sensor is abnormal, prompts a driver to go to a 4S store as soon as possible to perform ultrasonic ranging sensor fault troubleshooting and engine sealing troubleshooting, and the ultrasonic ranging sensors are covered by engine oil impurities or the engine is not tightly sealed and detect the current engine oil state;
in the embodiment, because the sealing problem in the internal combustion engine is considered, the oil can excessively penetrate into the combustion chamber to cause a large amount of oil loss and an excessive amount of oil evaporation, the oil level height is included in the oil degradation detection, and the engine abnormality with the oil as a measurement point is automatically detected to the maximum extent.
In step S2, the engine oil detection module determines whether the current engine oil viscosity meets a preset viscosity parameter according to a comparison result between the current engine oil viscosity data and a preset engine oil viscosity parameter, wherein the preset viscosity parameter includes a normal temperature viscosity parameter and a high temperature viscosity parameter,
when the viscosity of the current engine oil at high temperature is greater than the high-temperature viscosity parameter, the engine oil detection module judges that the current engine oil does not need to be replaced, and when the viscosity of the current engine oil at high temperature is less than or equal to the high-temperature preset viscosity parameter, the engine oil detection module judges that the current engine oil needs to be replaced and outputs an engine oil replacement prompt to the vehicle ECU;
when the current engine oil viscosity is larger than the normal-temperature viscosity parameter at the normal temperature, the engine oil detection module judges that the current engine oil does not need to be replaced, and when the current engine oil viscosity is smaller than or equal to the normal-temperature preset viscosity parameter at the normal temperature, the engine oil detection module judges that the current engine oil needs to be replaced and outputs an engine oil replacement prompt to the vehicle ECU.
In the present embodiment, the high temperature refers to the case temperature at the time of normal operation of the internal combustion engine, i.e., 80 to 105 degrees, excluding the temperature in the combustion chamber at the time of normal operation of the internal combustion engine.
In this embodiment, a normal temperature viscosity parameter and a high temperature viscosity parameter in preset viscosity parameters are a minimum engine oil kinematic viscosity required by a current vehicle engine at 40 ℃ and a minimum engine oil kinematic viscosity required by the current vehicle engine at 100 ℃, and meanwhile, in view of different engine oil models, the engine oil viscosities of the engine oils of different models at normal temperature and high temperature are also different, and an engine oil detection module judges whether the current engine oil meets the use requirement of the engine at normal temperature or high temperature according to the comparison result between the detected normal temperature viscosity value and the detected high temperature viscosity value of the current engine oil and the minimum engine oil viscosity value required by the vehicle engine at normal temperature and high temperature, and changes the engine oil according to the requirement;
taking the example that two types of engine oil of a certain brand can reach the engine oil viscosity at normal temperature and high temperature respectively:
| characteristics of | SAE 15W-40 | SAE 20W-50 |
| Kinematic viscosity at 100 ℃ in mm 2 /s ，ASTM D445 | 14.3 | 19.1 |
| Kinematic viscosity at 40 ℃ in mm 2 /s ，ASTM D445 | 111 | 177 |
And because most engines produced by different countries (Germany, japan and America) respectively need different engine oil viscosities at normal temperature and high temperature, the engine oil detection module judges whether the current engine oil meets the engine motion requirements according to the comparison between the parameters of the normal temperature and the high temperature viscosity needed by the engine stored in the current vehicle ECU and the values of the normal temperature and the high temperature viscosity of the current engine oil, so that the lubricating effect of the engine in motion can be guaranteed to the maximum extent, and meanwhile, automatic presetting is carried out according to the needed engine oil viscosities of different vehicle engines, and the technical personnel in the field can understand that if the lowest engine oil viscosity needed by the current vehicle engine at normal temperature is 80 and the lowest engine oil viscosity needed at high temperature is 20, the assignment of the parameter at normal temperature is 80, and the assignment of the parameter at high temperature is 20.
In step S3, the AI learning module marks the current oil viscosity data of abnormal rise detected by the oil detection module and the current oil viscosity data of less than or equal to the preset viscosity parameter, and records mileage and standing time corresponding to the oil viscosity data thereof, respectively, wherein,
the abnormally-increased current engine oil viscosity data detected by the engine oil detection module is the current engine oil viscosity data of the engine oil after the engine oil is replaced, the current engine oil viscosity data detected by the engine oil detection module and smaller than or equal to the preset viscosity parameter is the current engine oil viscosity data of the engine oil before the engine oil is replaced, and the AI learning module judges that the viscosity of the data of the current engine oil viscosity of the engine oil after the engine oil is replaced is reduced to the advancing mileage and the standing time corresponding to the data of the current engine oil viscosity of the engine oil before the engine oil is replaced.
In step S3, the AI learning module calculates, according to the mileage and the standing time corresponding to the labeled oil viscosity data, a relationship between the oil viscosity data and the mileage and the standing time, respectively, and obtains an oil viscosity reduction rate corresponding to the mileage at a high temperature when the oil viscosity is x and an oil viscosity reduction rate corresponding to the standing time at a normal temperature when the oil viscosity is x, respectively.
In step S4, the AI learning module calculates the oil change time corresponding to the current oil viscosity data according to the relationship between the oil viscosity data and the mileage and the standing time, wherein,
the AI learning module substitutes the current oil viscosity data into the oil viscosity reduction rate corresponding to the mileage at the high temperature when the oil viscosity is x and the oil viscosity reduction rate corresponding to the standing time at the normal temperature when the oil viscosity is x respectively, and calculates the oil change time corresponding to the current oil viscosity data in the current vehicle running state or the standing state.
In step S4, the AI learning module corrects the oil change time corresponding to the current oil viscosity data according to the current driving habits of the vehicle, wherein,
the AI learning module calculates the current driving habit of the vehicle according to the traveling mileage and the standing time length of the marked oil viscosity data in each time interval, wherein the current driving habit of the vehicle is that the average of all time periods when the oil viscosity data is reduced from x to a preset viscosity parameter is taken as a period, the average of all mileage and standing time when the vehicle travels in the period is taken as the ratio of the mileage to the standing time, and the ratio of the remaining mileage in the period corresponding to the oil viscosity data of x to the standing time is corrected according to the ratio in the current driving habit of the vehicle so as to correct the oil change time corresponding to the oil viscosity data of the current oil in the vehicle running state or the standing state.
In step S4, the AI learning module outputs the oil change time to the vehicle ECU, where the oil change time output to the vehicle ECU includes an oil change time corresponding to the current oil viscosity data when the vehicle is always in a running state and an oil change time corresponding to the current oil viscosity data when the vehicle is always in a standing state.
Referring to fig. 2, a schematic structural diagram of a system for rapidly detecting a degree of degradation of vehicle oil according to an embodiment of the present invention is shown, which includes an oil detection module and an AI learning module, wherein,
the engine oil detection module is connected with the vehicle ECU and used for obtaining vehicle operation parameters and assigning preset parameters of the total engine oil amount, the temperature of the engine oil and the viscosity of the engine oil according to the provisions of the total engine oil amount, the temperature of the engine oil and the viscosity of the engine oil in the vehicle operation parameters, the engine oil detection module comprises a plurality of engine oil viscosity sensors and a plurality of ultrasonic ranging sensors, the plurality of engine oil viscosity sensors are arranged in the engine oil tank and used for obtaining engine oil viscosity values at different heights in the engine oil tank, the plurality of ultrasonic ranging sensors are arranged at the top of the engine oil tank and used for obtaining the liquid level heights of the engine oil at different positions in the engine oil tank, and the engine oil detection module is further used for judging whether the current engine oil viscosity state and the total engine oil amount meet preset standards according to the comparison results of the engine oil viscosity values and the liquid level heights with the preset parameters;
the AI learning module is respectively connected with the engine oil detection module and the vehicle ECU and is used for storing and learning the values detected by the engine oil detection module, correcting the current engine oil change time in real time according to the stored historical values, and outputting the engine oil change time in different temperature states to the vehicle ECU so as to display the engine oil change time through a vehicle instrument panel.
So far, the technical solutions of the present invention have been described in connection with the preferred embodiments shown in the drawings, but it is apparent to those skilled in the art that the scope of the present invention is not limited to these specific embodiments. Equivalent changes or substitutions of related technical features can be made by those skilled in the art without departing from the principle of the invention, and the technical scheme after the changes or substitutions can fall into the protection scope of the invention.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention; various modifications and alterations to this invention will become apparent to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A method for quickly detecting a degree of deterioration of a vehicle oil, comprising:
the method comprises the following steps that S1, an engine oil detection module obtains vehicle operation parameters preset in a vehicle ECU, wherein the vehicle operation parameters comprise the current working temperature, the current mileage, the vehicle standing time, the total engine oil amount and the engine oil temperature of an engine, the engine oil detection module obtains current engine oil viscosity data according to the average value of a plurality of engine oil viscosity data sent back by a plurality of engine oil viscosity sensors arranged in an engine oil tank, judges whether a fault exists in the engine oil viscosity sensor corresponding to each engine oil viscosity data according to the current engine oil viscosity data, judges whether the current engine oil liquid level height meets the preset engine oil liquid level height according to a plurality of distance data sent back by a plurality of ultrasonic ranging sensors arranged at the top of the engine oil tank, and judges whether a fault exists in the ultrasonic ranging sensor corresponding to each engine oil liquid level height according to the current engine oil liquid level height;
s2, the engine oil detection module judges whether the current engine oil viscosity accords with a preset viscosity parameter according to a comparison result of the current engine oil viscosity data and the preset engine oil viscosity parameter, if the current engine oil viscosity is larger than the preset viscosity parameter, the current engine oil does not need to be replaced, if the current engine oil viscosity is smaller than or equal to the preset viscosity parameter, the current engine oil needs to be replaced, and the engine oil detection module outputs an engine oil replacement prompt to the vehicle ECU;
step S3, an AI learning module marks current oil viscosity data which are detected by the oil detection module and are abnormally increased and real-time oil viscosity data which are less than or equal to a preset viscosity parameter, and respectively records mileage and standing time corresponding to the oil viscosity data, and the AI learning module calculates the relation between the oil viscosity data and the mileage and the standing time respectively according to the mileage and the standing time corresponding to the marked oil viscosity data;
and S4, the AI learning module calculates the engine oil change time corresponding to the current engine oil viscosity data according to the relationship between the engine oil viscosity data and the mileage and the standing time, corrects the engine oil change time corresponding to the current engine oil viscosity data according to the current driving habits of the vehicle, and outputs the engine oil change time to the vehicle ECU.
2. The method for rapidly detecting the degradation degree of the engine oil of the vehicle according to claim 1, wherein in the step S1, the number of the engine oil viscosity sensors is preferably three, and the setting heights of the engine oil viscosity sensors are unequal, and the engine oil detection module determines whether a fault exists in the engine oil viscosity sensor corresponding to each engine oil viscosity data according to the comparison result between the difference value between the current engine oil viscosity data OV0 and each engine oil viscosity data OV1, OV2 and OV3 and a preset viscosity error parameter OVP, wherein,
when OV0-OV1|, is more than or equal to OVP, the engine oil detection module judges that the engine oil viscosity sensor corresponding to OV1 has a fault, and outputs a prompt of the engine oil viscosity sensor corresponding to OV1 or the abnormal engine oil at the position to the vehicle ECU;
when OV0-OV2|, is more than or equal to OVP, the engine oil detection module judges that the engine oil viscosity sensor corresponding to OV2 has a fault, and outputs a prompt of the engine oil viscosity sensor corresponding to OV2 or the abnormal engine oil at the position to the vehicle ECU;
when OV0-OV3|, is more than or equal to OVP, the engine oil detection module judges that the engine oil viscosity sensor corresponding to OV3 has a fault, and outputs a prompt of the engine oil viscosity sensor corresponding to OV3 or the abnormal engine oil at the position to the vehicle ECU;
and if the engine oil detection module judges that the number of the engine oil viscosity sensors with faults is more than one within a preset time period, the engine oil detection module outputs a prompt that each engine oil viscosity sensor is abnormal to the vehicle ECU.
3. The method for rapidly detecting the degradation degree of engine oil of a vehicle according to claim 2, wherein in the step S1, the number of the ultrasonic ranging sensors is preferably three, the ultrasonic ranging sensors are uniformly distributed on the top of the engine oil tank, the engine oil detection module determines whether the total amount of the engine oil in the engine oil tank meets a preset standard according to a comparison result between an average value of heights of levels of the engine oil detected by the ultrasonic ranging sensors and a preset height parameter, wherein the preset height value comprises the preset height parameter in a vehicle running state and the preset height parameter in a vehicle standing state,
when the average value of the current oil liquid level height in the vehicle running state is greater than the preset height parameter in the vehicle running state, the oil detection module judges that the current oil does not need to be supplemented, and when the average value of the current oil liquid level height in the vehicle running state is less than or equal to the preset height parameter in the vehicle running state, the oil detection module judges that the current oil needs to be supplemented and outputs an oil addition prompt to the vehicle ECU;
when the average value of the current oil liquid level height in the vehicle standing state is larger than the preset height parameter in the vehicle standing state, the oil detection module judges that the current oil does not need to be supplemented, and when the average value of the current oil liquid level height in the vehicle standing state is smaller than or equal to the preset height parameter in the vehicle running state, the oil detection module judges that the current oil needs to be supplemented, and outputs an oil adding prompt to the vehicle ECU.
4. The method for rapidly detecting degradation degree of vehicle oil according to claim 3, wherein in step S1, the oil detection module determines whether there is a fault in the ultrasonic ranging sensor corresponding to each of the oil level heights based on a comparison result of a difference between an average oil level LL0 and each of the oil level heights LL1, LL2, and LL3, respectively, and a preset height error parameter LLP,
when the absolute value LL0-LL1 is larger than or equal to LLP, the engine oil detection module judges that the ultrasonic ranging sensor corresponding to LL1 has a fault, and outputs a prompt that the ultrasonic ranging sensor corresponding to LL1 is abnormal to the vehicle ECU;
when LL0-LL2 is larger than or equal to LLP, the engine oil detection module judges that the ultrasonic ranging sensor corresponding to LL2 has a fault, and outputs a prompt that the ultrasonic ranging sensor corresponding to LL2 is abnormal to the vehicle ECU;
when | LL0-LL3| > or more than LLP, the engine oil detection module judges that the ultrasonic ranging sensor corresponding to LL3 has a fault, and outputs a prompt that the ultrasonic ranging sensor corresponding to LL3 is abnormal to the vehicle ECU;
if the engine oil detection module judges that the number of the ultrasonic ranging sensors with faults is more than one within a preset time period, the engine oil detection module outputs a prompt that each ultrasonic ranging sensor is abnormal to the vehicle ECU.
5. The method of claim 4, wherein in the step S2, the oil detection module determines whether the current oil viscosity is consistent with a preset viscosity parameter according to a comparison result between the current oil viscosity data and the preset oil viscosity parameter, wherein the preset oil viscosity parameter includes a normal temperature viscosity parameter and a high temperature viscosity parameter,
when the current engine oil viscosity at high temperature is greater than the high-temperature viscosity parameter, the engine oil detection module judges that the current engine oil does not need to be replaced, and when the current engine oil viscosity at high temperature is less than or equal to the high-temperature preset viscosity parameter, the engine oil detection module judges that the current engine oil needs to be replaced and outputs an engine oil replacement prompt to the vehicle ECU;
when the current engine oil viscosity at the normal temperature is larger than the normal temperature viscosity parameter, the engine oil detection module judges that the current engine oil does not need to be replaced, and when the current engine oil viscosity at the normal temperature is smaller than or equal to the normal temperature preset viscosity parameter, the engine oil detection module judges that the current engine oil needs to be replaced and outputs an engine oil replacement prompt to the vehicle ECU.
6. The method for rapidly detecting a degree of degradation of engine oil for a vehicle according to claim 5, wherein in the step S3, the AI learning module marks the current oil viscosity data detected by the oil detection module as abnormally elevated and the current oil viscosity data less than or equal to a preset viscosity parameter, and records mileage and standing time corresponding to the oil viscosity data thereof, respectively,
the AI learning module judges that the data of the current machine oil viscosity with the viscosity being the machine oil after the machine oil is replaced is reduced to the advancing mileage and the standing time corresponding to the data of the current machine oil viscosity with the viscosity being the machine oil before the machine oil is replaced.
7. The method of claim 6, wherein in the step S3, the AI learning module calculates the relationship between the oil viscosity data and the mileage and the standing time respectively according to the mileage and the standing time corresponding to the labeled oil viscosity data, and obtains the oil viscosity reduction rate corresponding to the mileage at a high temperature when the oil viscosity is x and the oil viscosity reduction rate corresponding to the standing time at a normal temperature when the oil viscosity is x.
8. The method for rapidly detecting a degree of degradation of engine oil for a vehicle according to claim 7, wherein in the step S4, the AI learning module estimates an engine oil change time corresponding to current engine oil viscosity data based on a relationship between the engine oil viscosity data and a mileage and a standing time, respectively, wherein,
and the AI learning module substitutes the current engine oil viscosity data into the engine oil viscosity reduction rate corresponding to the mileage at high temperature when the engine oil viscosity is x and the engine oil viscosity reduction rate corresponding to the standing time at normal temperature when the engine oil viscosity is x respectively, and calculates the engine oil change time corresponding to the current engine oil viscosity data in the current vehicle running state or the standing state.
9. The method for rapidly detecting a degree of degradation of engine oil for a vehicle according to claim 8, wherein in the step S4, the AI learning module corrects an oil change time corresponding to current oil viscosity data based on current driving habits of the vehicle and outputs the oil change time to the vehicle ECU, wherein,
the AI learning module calculates the current driving habits of the vehicle according to the traveling mileage and the standing time length of the marked oil viscosity data in each time interval, wherein the current driving habits of the vehicle are all periods of time when the oil viscosity data is reduced from x to a preset viscosity parameter, the average of all mileage and standing time of the vehicle traveling in the periods is the ratio of mileage and standing time, and the ratio of the remaining mileage and the standing time in the corresponding period when the oil viscosity is x is corrected according to the ratio in the current driving habits of the vehicle so as to correct the oil change time corresponding to the current oil viscosity data in the vehicle running state or the standing state;
the AI learning module outputs the engine oil change time to the vehicle ECU, wherein the engine oil change time output to the vehicle ECU comprises the engine oil change time corresponding to the current engine oil viscosity data when the vehicle is always in the running state and the engine oil change time corresponding to the current engine oil viscosity data when the vehicle is always in the standing state.
10. A vehicle oil deterioration degree rapid detection system for performing the vehicle oil deterioration degree rapid detection method according to any one of claims 1 to 9, the system including the oil detection module and the AI learning module, wherein,
the engine oil detection module is connected with the vehicle ECU and used for obtaining vehicle operation parameters and assigning preset parameters of the total engine oil amount, the engine oil temperature and the engine oil viscosity according to the regulations on the total engine oil amount, the engine oil temperature and the engine oil viscosity in the vehicle operation parameters, the engine oil detection module comprises a plurality of engine oil viscosity sensors and a plurality of ultrasonic ranging sensors, each engine oil viscosity sensor is arranged in an engine oil tank and used for obtaining engine oil viscosity values at different heights in the engine oil tank, each ultrasonic ranging sensor is arranged at the top of the engine oil tank and used for obtaining the engine oil liquid level heights at different positions in the engine oil tank, and the engine oil detection module is further used for judging whether the current engine oil viscosity state and the total engine oil amount meet preset standards according to comparison results of the engine oil viscosity values and the engine oil liquid level heights with the preset parameters;
the AI learning module is respectively connected with the engine oil detection module and the vehicle ECU and is used for storing and learning the values detected by the engine oil detection module, correcting the current engine oil replacement time in real time according to the stored historical values, and outputting the engine oil replacement time in different temperature states to the vehicle ECU so as to display the engine oil replacement time through an instrument panel.
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