Engine oil state determination method and device, equipment, medium and product

Abstract

The invention discloses an engine oil state determination method and device, equipment, a medium and a product, and relates to the technical field of vehicle engineering.The engine oil state determination method comprises the steps that at least one candidate engine working condition of a target engine in a target time period and candidate driving mileages of a target vehicle under all the candidate engine working conditions are determined, generating at least one candidate working condition parameter according to the candidate engine working condition and the candidate driving mileage; according to the engine attribute parameters and the candidate working condition parameters of the target engine, candidate operation indexes generated by the target engine under all the candidate engine working conditions are determined; wherein the candidate operation index is at least one of engine oil rising temperature, engine oil metal content increment, engine oil film thickness distribution and abrasion depth of an engine friction pair; and determining the engine oil state of the target engine according to the candidate operation indexes. The effect of improving the accuracy and reliability of engine oil state recognition is achieved.

Description

Technical Field

[0001] The present invention relates to the field of vehicle engineering technology, and in particular to a method, device, equipment, medium and product for determining engine oil status. Background Art

[0002] Motor oil, the "blood" of the engine, provides lubrication, friction reduction, cooling, sealing, leak prevention, rust and corrosion prevention, and shock absorption. With the rapid development of intelligent and electric vehicles in recent years, intelligent maintenance of motor oil has been widely researched and applied.

[0003] Existing automotive oil status identification mostly relies solely on mileage and time. However, this method relies on too single a factor and cannot reflect the degree of oil deterioration, affecting the accuracy and reliability of automotive oil status identification. Summary of the Invention

[0004] The present invention provides a method, device, equipment, medium and product for determining the oil status, so as to solve the problem that the existing technology relies solely on mileage and time to identify the oil status, resulting in insufficient accuracy and reliability of oil status identification.

[0005] According to one aspect of the present invention, a method for determining an engine oil state is provided, the method comprising:

[0006] determining at least one candidate engine operating condition occurring within a target time period for a target engine and a candidate driving range of a target vehicle under each of the candidate engine operating conditions, and generating at least one candidate operating condition parameter based on the candidate engine operating conditions and the candidate driving range; wherein the target time period is the period between a current time and a previous oil change time;

[0007] determining, based on the engine attribute parameters of the target engine and the candidate operating condition parameters, candidate operating indicators generated by the target engine under each of the candidate engine operating conditions; wherein the candidate operating indicator is at least one of an engine oil temperature rise, an engine oil metal content increase, an engine oil film thickness distribution, and a wear depth of an engine friction pair;

[0008] The oil state of the target engine is determined according to the candidate operating index.

[0009] According to another aspect of the present invention, there is provided a device for determining an engine oil state, the device comprising:

[0010] an operating condition parameter generation module, configured to determine at least one candidate engine operating condition occurring within a target time period for a target engine, and a candidate driving range of a target vehicle under each of the candidate engine operating conditions, and to generate at least one candidate operating condition parameter based on the candidate engine operating conditions and the candidate driving range; wherein the target time period is the period between a current time and a previous oil change time;

[0011] an operating index determination module, configured to determine, based on the engine attribute parameters of the target engine and the candidate operating condition parameters, a candidate operating index generated by the target engine under each of the candidate engine operating conditions; wherein the candidate operating index is at least one of an engine oil temperature rise, an engine oil metal content increase, an engine oil film thickness distribution, and a wear depth of an engine friction pair;

[0012] The oil state determination module is used to determine the oil state of the target engine according to the candidate operating index.

[0013] According to another aspect of the present invention, an electronic device is provided, comprising:

[0014] at least one processor; and

[0015] a memory communicatively connected to the at least one processor; wherein,

[0016] The memory stores a computer program that can be executed by the at least one processor. The computer program is executed by the at least one processor to enable the at least one processor to perform the method for determining the engine oil state according to any one of the present inventions.

[0017] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement any one of the methods for determining the engine oil status of the present invention when executed.

[0018] According to another aspect of the present invention, a computer program product is provided, comprising a computer program, wherein when the computer program is executed by a processor, the computer program implements the method for determining the engine oil state according to any one of the present inventions.

[0019] The present invention determines at least one candidate engine operating condition occurring in a target time period, and a candidate mileage of a target vehicle under each candidate engine operating condition, and generates at least one candidate operating condition parameter based on the candidate engine operating condition and the candidate mileage; determines candidate operating indicators generated by the target engine under each candidate engine operating condition based on the engine attribute parameters of the target engine and the candidate operating condition parameters; wherein the candidate operating indicator is at least one of an oil temperature rise, an oil metal content increase, an engine oil film thickness distribution, and a wear depth of an engine friction pair; and determines the oil condition of the target engine based on the candidate operating indicator. The beneficial effects are:

[0020] First, the engine attribute parameters and candidate operating condition parameters are used to determine candidate operating indicators, including oil temperature rise, oil metal content increase, engine oil film thickness distribution, and engine friction pair wear depth. Since these indicators can reflect the degree of oil deterioration, they can improve the accuracy and reliability of oil status identification. Moreover, since the data dimensions of the candidate operating indicators are relatively rich, the diversity of the parameters on which the oil status determination depends can be ensured, further improving the accuracy and reliability of oil status identification.

[0021] Secondly, since different candidate engine operating conditions have different requirements for oil performance, by calculating the candidate operating indicators generated by the target engine under each candidate engine operating condition and using them to determine the oil status, the actual performance of the oil can be dynamically matched with the theoretical requirements, avoiding the one-sidedness of a single operating condition evaluation and improving the accuracy and reliability of oil status identification.

[0022] Thirdly, the existing technology identifies the oil status through mileage and time, which may lead to wasteful oil replacement. However, the present invention dynamically evaluates the oil status and can remind customers to replace the oil only when the oil performance is insufficient, thereby reducing oil and labor costs.

[0023] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present invention, nor is it intended to limit the scope of the present invention. Other features of the present invention will become readily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention, and it is obvious that those skilled in the art will not need to pay creative effort to understand the embodiments.

[0025] Figure 1 A flowchart of a method for determining an engine oil state provided in Example 1 of the present invention;

[0026] Figure 2 A flowchart of a method for determining an engine oil state provided in a second embodiment of the present invention;

[0027] Figure 3 A schematic structural diagram of a device for determining an engine oil state according to a third embodiment of the present invention;

[0028] Figure 4 3 is a schematic structural diagram of an electronic device for implementing the method for determining the oil state of an embodiment of the present invention. DETAILED DESCRIPTION

[0029] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of the present invention.

[0030] It should be noted that the terms "first", "second", "third", "fourth", "candidate", "history", "target", etc. in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0031] Example 1

[0032] Figure 1 This is a flow chart of a method for determining the state of an engine oil provided in the first embodiment of the present invention. This embodiment can be applied to determine dynamic candidate operating indicators by combining engine attribute parameters and candidate operating condition parameters to identify the state of the engine oil. This method can be executed by an engine oil state determination device, which can be implemented in the form of hardware and / or software. Figure 1 As shown, the method includes:

[0033] S101. Determine at least one candidate engine operating condition of a target engine within a target time period, and a candidate driving mileage of a target vehicle under each candidate engine operating condition, and generate at least one candidate operating condition parameter based on the candidate engine operating condition and the candidate driving mileage.

[0034] The target vehicle refers to any vehicle equipped with a target engine. Based on the powertrain structure, target vehicle types include, but are not limited to, fuel-powered vehicles, plug-in hybrid vehicles, or extended-range vehicles. Based on vehicle usage, target vehicle types include, but are not limited to, passenger vehicles or tractors. The target engine, installed in the target vehicle, represents the specific power unit for which operating condition identification is required. Target engine types include, but are not limited to, turbocharged engines, naturally aspirated engines, and diesel engines. This embodiment does not limit the specific types of target vehicles or engines.

[0035] The target time period is the period between the current time and the last oil change time. The last oil change time is the time when the user last changed the oil in the target engine. For example, if the current time is April 1st and the last oil change time is March 1st, the target time period is between March 1st and April 1st.

[0036] When the target engine operates within the target time period, at least one candidate engine operating condition will occur. The candidate engine operating condition refers to the operating state of the target engine under specific operating conditions, which is characterized by a combination of the actual torque percentage and the engine speed of the target engine.

[0037] For example, the actual torque percentage is divided into intervals of 5%, such as 0-5%, 5-10%, 10-15%, ..., 95-100%. The engine speed is divided into intervals of 100 rpm, such as 500-600 rpm, 600-700 rpm, 700-800 rpm, ..., 3400-3500 rpm. Based on the actual operating state of the target engine, the actual torque percentage intervals that occurred during the target time period of the target engine are combined with the engine speed intervals that occurred simultaneously to obtain at least one candidate engine operating condition.

[0038] For example, if the target engine has an actual torque percentage range of 5-10% and an engine speed range of 700-800 rpm during the target time period, a candidate engine operating condition is obtained based on the actual torque percentage of 5-10% and the engine speed of 700-800 rpm.

[0039] Candidate driving range refers to the mileage of the target vehicle under each candidate engine operating condition. For example, if a candidate engine operating condition is "actual torque percentage 5-10%, engine speed 700-800 rpm," and the target vehicle travels 500 km under this candidate engine operating condition, the candidate driving range of the target vehicle under this candidate engine operating condition is determined to be "500 km."

[0040] Candidate operating condition parameters are generated based on the candidate engine operating conditions and the candidate driving ranges corresponding to each candidate engine operating condition. For example, if a candidate engine operating condition is "actual torque percentage 5-10%, engine speed 700-800 rpm," and the target vehicle's candidate driving range under this candidate engine condition is "500 km," then "actual torque percentage 5-10%, engine speed 700-800 rpm, candidate driving range 500 km" will be used as a set of candidate operating condition parameters.

[0041] In one embodiment, at least one actual torque percentage and at least one engine speed of the target engine within a target time period are obtained from a vehicle big data platform based on the vehicle identification of the target vehicle. Based on the time at which each actual torque percentage and each engine speed occur, each actual torque percentage and each engine speed are combined to obtain at least one candidate engine operating condition.

[0042] In addition, the mileage distribution of the target vehicle is obtained from the vehicle big data platform according to the vehicle identification of the target vehicle, and the candidate mileage corresponding to each candidate engine operating condition is determined according to the time when each candidate engine operating condition and the mileage appear, and then each candidate engine operating condition and the corresponding candidate mileage are combined to obtain at least one candidate operating condition parameter.

[0043] Optionally, the candidate driving distance can be determined by:

[0044] The mileage ratio corresponding to each candidate engine operating condition and the total mileage of the target vehicle within the target time period are obtained; the candidate engine operating condition with a mileage ratio less than a preset ratio threshold is regarded as an invalid engine operating condition, and the sum of the mileage ratios of the invalid engine operating conditions is counted as the invalid mileage ratio; the candidate mileages of the remaining candidate engine operating conditions are determined based on the total mileage, the invalid mileage ratio, and the mileage ratios of the remaining candidate engine operating conditions.

[0045] For example, the candidate driving ranges for the remaining candidate engine operating conditions are determined by the following formula:

[0046] si=k1*s0 / (1-α); where k1 is the mileage ratio of any remaining candidate engine operating condition, α is the invalid mileage ratio, s0 is the total mileage, and si is the candidate mileage of the candidate engine operating condition.

[0047] S102: Determine candidate operating indicators generated by the target engine under each candidate engine operating condition based on the engine attribute parameters and candidate operating condition parameters of the target engine.

[0048] Among them, the engine attribute parameters are technical indicators that describe the basic structure, performance characteristics and operating status of the engine. The engine attribute parameters are at least one of the engine oil performance parameters, engine structure parameters and engine material parameters.

[0049] Among them, the engine oil performance parameters include but are not limited to at least one of 100°C viscosity, viscosity-temperature performance parameters, viscosity-pressure performance parameters, viscosity-shear rate performance parameters, high-temperature high-shear viscosity, pour point, low-temperature dynamic viscosity, low-temperature pumping viscosity, element content, pH value, specific heat capacity and thermal conductivity coefficient.

[0050] Engine structural parameters are technical indicators that describe the basic structural characteristics of the engine and are used to define its physical form, working principle and performance boundaries, including but not limited to at least one of the number of cylinders, cylinder arrangement, cylinder diameter, stroke, displacement, compression ratio, number of valves, valve timing, cooling method, intake form and ignition order.

[0051] Engine material parameters refer to the material types and physical and chemical performance indicators of the engine components, including but not limited to at least one of material type, tensile strength, yield strength, hardness, toughness, heat load capacity, corrosion resistance, deformation resistance, oxidation resistance, heat dissipation efficiency, density, casting / forging performance and welding and processability.

[0052] Candidate operating indicators are a set of parameters used to measure and evaluate the health of a target engine during operation. These indicators are at least one of the following: engine oil temperature rise, oil metal content increase, engine oil film thickness distribution, and wear depth of engine friction pairs.

[0053] The oil rise temperature indicates the temperature of the oil rises during the operation of the target engine.

[0054] The incremental metal content in engine oil refers to the continuous increase in the amount of metal particles or debris mixed into the engine oil during the operation of the target engine. These metals mainly come from the wear of the engine friction pairs, including but not limited to the incremental iron content, incremental copper content and incremental aluminum content.

[0055] An engine friction pair refers to two parts in direct contact and relative motion within the target engine. This interaction generates friction and wear. Examples include piston rings and cylinder liners, crankshafts and main bearings / connecting rod bearings, and camshafts and tappets / rocker arms. The wear depth of an engine friction pair refers to the depth of the depression or thinning caused by material loss due to friction.

[0056] Engine oil film thickness distribution refers to the thickness differences and dynamic changes in the oil film formed on different friction pairs within the engine. It is a key indicator of the oil's lubrication effectiveness and engine protection capabilities.

[0057] In one embodiment, an oil film thickness prediction model is used to determine the engine oil film thickness distribution of the target engine under each candidate engine operating condition based on engine oil performance parameters, engine structural parameters, engine material parameters, and candidate operating condition parameters.

[0058] In another embodiment, the relative friction speed of the engine friction pair under each candidate engine operating condition is determined, and through the wear model corresponding to the engine friction pair, according to the contact pressure distribution, engine material parameters, and relative friction speed, the wear depth generated by the engine friction pair under each candidate engine operating condition and the increase in the metal content of the engine oil generated by the target engine under each candidate engine operating condition are determined.

[0059] In another embodiment, the fluid velocity of the target engine's oil under each candidate engine operating condition is determined, and the oil temperature rise generated by the target engine under each candidate engine operating condition is determined based on the engine oil performance parameters and the fluid velocity using an oil energy model.

[0060] S103: Determine the oil state of the target engine according to the candidate operating indicators.

[0061] Among them, the engine oil status includes the to-be-replaced status and the no-replacement status. The to-be-replaced status means that the engine oil can no longer meet the engine's lubrication needs and needs to be replaced immediately; the no-replacement status means that the engine oil still has normal lubrication protection functions and can continue to be used.

[0062] In one embodiment, a maximum oil rise temperature is determined based on the oil rise temperatures, and a minimum oil film thickness is determined based on the engine oil film thickness distribution. Numerical comparisons are performed on the maximum oil rise temperature and a first threshold value, the minimum oil film thickness and a second threshold value, the oil metal content increase and a third threshold value, and the wear depth and a fourth threshold value, respectively.

[0063] If it is determined that the maximum oil temperature rise is greater than the first threshold, the minimum engine oil film thickness is less than the second threshold, the oil metal content increase is greater than the third threshold, or the wear depth is greater than the fourth threshold, then the oil status is determined to be in the waiting-for-replacement status and the oil needs to be replaced immediately.

[0064] If it is determined that the maximum oil temperature rise is less than or equal to the first threshold, the minimum engine oil film thickness is greater than or equal to the second threshold, the oil metal content increase is less than or equal to the third threshold, and the wear depth is less than or equal to the fourth threshold, then it is determined that the oil status does not require replacement and the oil can continue to be used.

[0065] The embodiment of the present invention determines at least one candidate engine operating condition occurring in a target time period, and a candidate mileage of a target vehicle under each candidate engine operating condition, and generates at least one candidate operating condition parameter based on the candidate engine operating condition and the candidate mileage; determines candidate operating indicators generated by the target engine under each candidate engine operating condition based on the engine attribute parameters of the target engine and the candidate operating condition parameters; wherein the candidate operating indicator is at least one of an oil temperature rise, an oil metal content increase, an engine oil film thickness distribution, and a wear depth of an engine friction pair; and determines the oil condition of the target engine based on the candidate operating indicator. The beneficial effects are:

[0066] First, the engine attribute parameters and candidate operating condition parameters are used to determine candidate operating indicators, including oil temperature rise, oil metal content increase, engine oil film thickness distribution, and engine friction pair wear depth. Since these indicators can reflect the degree of oil deterioration, they can improve the accuracy and reliability of oil status identification. Moreover, since the data dimensions of the candidate operating indicators are relatively rich, the diversity of the parameters on which the oil status determination depends can be ensured, further improving the accuracy and reliability of oil status identification.

[0067] Secondly, since different candidate engine operating conditions have different requirements for oil performance, by calculating the candidate operating indicators generated by the target engine under each candidate engine operating condition and using them to determine the oil status, the actual performance of the oil can be dynamically matched with the theoretical requirements, avoiding the one-sidedness of a single operating condition evaluation and improving the accuracy and reliability of oil status identification.

[0068] Thirdly, the existing technology identifies the oil status through mileage and time, which may lead to wasteful oil replacement. However, the present invention dynamically evaluates the oil status and can remind customers to replace the oil only when the oil performance is insufficient, thereby reducing oil and labor costs.

[0069] Example 2

[0070] Figure 2This is a flow chart of a method for determining the oil state provided by the second embodiment of the present invention. This embodiment further optimizes and expands the above embodiment and can be combined with the above optional implementation methods. Figure 2 As shown, the method includes:

[0071] S201. Determine at least one candidate engine operating condition of a target engine within a target time period, and a candidate driving mileage of a target vehicle under each candidate engine operating condition, and generate at least one candidate operating condition parameter based on the candidate engine operating condition and the candidate driving mileage.

[0072] S202. Input engine oil performance parameters, engine structural parameters, engine material parameters, and candidate operating condition parameters into an oil film thickness prediction model, so that the oil film thickness prediction model outputs an engine oil film thickness distribution generated by the target engine under each candidate engine operating condition.

[0073] Among them, the oil film thickness prediction model refers to a pre-trained model for predicting the distribution of engine oil film thickness, and its types include but are not limited to prediction models based on neural networks, prediction models based on fluid mechanics and physical equations, etc.

[0074] In one embodiment, engine oil performance parameters, engine structural parameters, engine material parameters, and candidate operating condition parameters are input into an oil film thickness prediction model. The oil film thickness prediction model predicts the engine oil film thickness distribution based on the engine oil performance parameters, engine structural parameters, engine material parameters, and candidate operating condition parameters, and outputs the engine oil film thickness distribution generated by the target engine under each candidate engine operating condition.

[0075] By inputting engine oil performance parameters, engine structural parameters, engine material parameters, and candidate operating condition parameters into the oil film thickness prediction model, the oil film thickness prediction model outputs the engine oil film thickness distribution generated by the target engine under each candidate engine operating condition. The beneficial effects are:

[0076] First, by integrating engine oil performance parameters, engine structural parameters, and engine material parameters, the system accurately simulates the physical boundary conditions for engine oil film formation. Compared to traditional single-factor models, this improves the prediction accuracy of engine oil film thickness distribution.

[0077] Secondly, for OEMs, the engine oil film thickness distribution can be determined through model prediction without increasing costs (without adding any sensors), which reduces costs and shortens the determination cycle.

[0078] S203. Determine the engine oil film pressure distribution generated by the target engine under each candidate engine operating condition, and input the engine oil film thickness distribution and engine structural parameters into a contact model corresponding to the engine friction pair, so that the contact model outputs the contact pressure distribution generated by the engine friction pair under each candidate engine operating condition.

[0079] Among them, the contact model corresponding to the engine friction pair is a mathematical or physical model used to describe the mechanical behavior and energy transfer law of the friction pair in the engine under force, motion and lubrication conditions.

[0080] In one embodiment, the lubrication model is used to determine the engine oil film pressure distribution generated by the target engine under each candidate engine operating condition. The engine oil film thickness distribution and engine structural parameters are input into the contact model as input parameters. The contact model predicts the contact pressure distribution based on the engine oil film thickness distribution and engine structural parameters, and outputs the contact pressure distribution generated by the engine friction pair under each candidate engine operating condition.

[0081] Optionally, determining an engine oil film pressure distribution generated by the target engine under each candidate engine operating condition includes:

[0082] S2031. Determine a target engine lubrication mode from candidate engine lubrication modes based on the engine oil film thickness distribution.

[0083] Engine lubrication methods refer to the specific methods used to deliver lubricating oil or grease to the friction surfaces of moving parts within an engine through various technical means to reduce friction, minimize wear, dissipate heat, and extend service life. Candidate engine lubrication methods include, but are not limited to, pressure lubrication, splash lubrication, grease lubrication, and composite lubrication.

[0084] In one embodiment, the engine oil film thickness distribution is matched with the standard oil film thickness distribution corresponding to each candidate engine lubrication mode, the similarity between the engine oil film thickness distribution and each standard oil film thickness distribution is determined, and a matching oil film thickness distribution is determined from the standard oil film thickness distribution based on the similarity, and the candidate engine lubrication mode corresponding to the matching oil film thickness distribution is used as the target engine lubrication mode.

[0085] S2032. Determine a target lubrication model corresponding to the target engine lubrication mode, and input the engine oil film thickness and engine oil performance parameters into the target lubrication model, so that the target lubrication model outputs the engine oil film pressure distribution generated by the target engine under each candidate engine operating condition.

[0086] Among them, the target lubrication model refers to a theoretical calculation model established for the target engine lubrication mode, which is used to simulate and predict the oil film pressure distribution under the target engine lubrication mode.

[0087] In one embodiment, based on the association between candidate engine lubrication modes and candidate lubrication models, a candidate lubrication model corresponding to the target engine lubrication mode is determined as a target lubrication model. Engine oil film thickness and engine oil performance parameters are input into the target lubrication model as input parameters. The target lubrication model predicts the oil film pressure distribution based on the engine oil film thickness and engine oil performance parameters, and outputs the engine oil film pressure distribution generated by the target engine under each candidate engine operating condition.

[0088] By determining a target engine lubrication mode from candidate engine lubrication modes based on the engine oil film thickness distribution; determining a target lubrication model corresponding to the target engine lubrication mode, and inputting the engine oil film thickness and engine oil performance parameters into the target lubrication model, the target lubrication model outputs the engine oil film pressure distribution generated by the target engine under each candidate engine operating condition. The beneficial effects are:

[0089] First, by inputting the engine oil film thickness and engine oil performance parameters, the target lubrication model can automatically correct the engine oil film pressure distribution generated by the target engine under various candidate engine operating conditions, thereby ensuring the accuracy of the engine oil film pressure distribution prediction.

[0090] Secondly, the corresponding target engine lubrication method is determined according to different engine oil film thickness distributions, and then the corresponding target lubrication model is determined according to different target engine lubrication methods, realizing data coupling between oil film thickness-lubrication method-lubrication model, and further ensuring the accuracy of engine oil film pressure distribution prediction.

[0091] S204. Input the engine oil film pressure distribution, contact pressure distribution, engine structural parameters, and engine material parameters into the deformation model corresponding to the engine friction pair, so that the deformation model outputs the deformation of the engine friction pair, and performs stability verification on the deformation according to the deformation convergence state.

[0092] The deformation model for an engine friction pair is a mathematical or physical description of the shape changes that occur when the friction pair is subjected to force, heat, or motion, and is used to simulate its dynamic behavior. Whether the deformation of the friction pair converges refers to whether the plastic deformation of the surface and subsurface layers of the friction pair tends to a stable state during continuous friction, rather than accumulating infinitely or changing suddenly.

[0093] In one embodiment, the engine oil film pressure distribution, contact pressure distribution, engine structural parameters, and engine material parameters are input into the deformation model as input parameters. The deformation model predicts the deformation amount based on the contact pressure distribution, engine structural parameters, and engine material parameters, and outputs the deformation amount of the engine friction pair.

[0094] Furthermore, the convergence state of the deformation of the friction pair is identified. If it is determined that the deformation of the friction pair is in a converged state, the deformation of the friction pair is determined to be stable, that is, the prediction of the engine oil film thickness distribution is accurate; correspondingly, if it is determined that the deformation of the friction pair is in an unconverged state, the deformation of the friction pair is determined to be unstable, that is, the prediction of the engine oil film thickness distribution is wrong, and the engine oil film thickness distribution needs to be re-predicted.

[0095] By determining the engine oil film pressure distribution generated by the target engine under each candidate engine operating condition, and inputting the engine oil film thickness distribution and engine structural parameters into the contact model corresponding to the engine friction pair, the contact model outputs the contact pressure distribution generated by the engine friction pair under each candidate engine operating condition; the engine oil film pressure distribution, contact pressure distribution, engine structural parameters, and engine material parameters are input into the deformation model corresponding to the engine friction pair, the deformation model outputs the deformation of the engine friction pair; and the deformation is stability-checked according to the deformation convergence state. The beneficial effects are:

[0096] The stability check of the deformation of the engine friction pair is achieved, which is conducive to judging the accuracy of the previously predicted engine oil film thickness distribution and further ensuring the accuracy and credibility of the final oil state identification result.

[0097] S205. When the deformation is stable, determine the fluid velocity of the target engine oil under each candidate engine operating condition based on the engine structural parameters, the candidate operating condition parameters, the engine oil performance parameters, the engine oil film pressure distribution, and the engine oil film thickness distribution.

[0098] Among them, the oil fluid velocity refers to the speed at which the oil circulates inside the engine. The oil fluid velocity undergoes dynamic adjustments, which directly affects core functions such as lubrication and heat dissipation.

[0099] In one embodiment, after determining that the deformation is stable, the lubrication model is used to determine the engine oil film pressure distribution generated by the target engine under each candidate engine operating condition. Furthermore, an integral calculation is performed based on the engine structural parameters, the candidate operating condition parameters, the engine oil performance parameters, the engine oil film pressure distribution, and the engine oil film thickness distribution to determine the flow velocity of the target engine oil under each candidate engine operating condition.

[0100] S206: Input the engine oil performance parameters and fluid velocity into the oil energy model, so that the oil energy model outputs the oil temperature rise generated by the target engine under each candidate engine operating condition.

[0101] The oil energy model is a systematic theoretical framework used to describe the energy transfer, conversion, and loss of oil during engine operation. Its core principle is to quantify the impact of oil on heat during lubrication, cooling, and cleaning processes.

[0102] In one embodiment, engine oil performance parameters and fluid velocity are used as input parameters of an oil energy model. The oil energy model predicts the oil temperature rise based on the engine oil performance parameters and fluid velocity, and outputs the oil temperature rise generated by the target engine under each candidate engine operating condition.

[0103] By determining the engine oil film pressure distribution generated by the target engine under each candidate engine operating condition; determining the flow velocity of the target engine oil under each candidate engine operating condition based on engine structural parameters, candidate operating condition parameters, engine oil performance parameters, engine oil film pressure distribution, and engine oil film thickness distribution; inputting the engine oil performance parameters and flow velocity into an oil energy model, so that the oil energy model outputs the oil temperature rise generated by the target engine under each candidate engine operating condition, the beneficial effects are:

[0104] First, the constructed oil energy model can accurately calculate the corresponding temperature increase of the oil under different fluid velocities under different working conditions.

[0105] Secondly, by replacing some physical experiments with model simulation, the efficiency of determining the oil temperature rise can be improved and the cost required for determining the oil temperature rise can be reduced.

[0106] S207 , determining a temperature convergence state of the engine oil temperature increase; and performing stability verification on the engine oil temperature increase according to the temperature convergence state.

[0107] Among them, whether the oil temperature rise converges refers to whether the oil temperature rise tends to a stable state rather than infinite accumulation or sudden change.

[0108] In one embodiment, the convergence state of the oil temperature increase is identified. If it is determined that the oil temperature increase is in a converged state, the oil temperature increase is determined to be stable, that is, the engine oil film thickness distribution prediction is accurate; correspondingly, if it is determined that the oil temperature increase is in a non-convergent state, the oil temperature increase is determined to be unstable, that is, the engine oil film thickness distribution prediction is wrong, and the engine oil film thickness distribution needs to be re-predicted.

[0109] By determining the temperature convergence state of the oil temperature increase and performing stability verification on the oil temperature increase according to the temperature convergence state, the stability verification of the oil temperature increase is achieved, which is beneficial to judging the accuracy of the previously predicted engine oil film thickness distribution, and further ensuring the accuracy and credibility of the final oil state identification result.

[0110] S208. When the oil temperature rises steadily, determine the relative friction speed of the engine friction pair under each candidate engine operating condition based on the engine structural parameters, the candidate operating condition parameters, the engine oil performance parameters, and the engine material parameters.

[0111] In one embodiment, when it is determined that the oil temperature rise is stable, kinematic modeling and analysis are performed based on engine structural parameters, candidate operating condition parameters, engine oil performance parameters, and engine material parameters to determine the relative friction speed of the engine friction pair under each candidate engine operating condition.

[0112] S209. Input the contact pressure distribution, engine material parameters, and relative friction velocity into a wear model corresponding to the engine friction pair, so that the wear model outputs the wear depth of the engine friction pair under each candidate engine operating condition, and outputs the increase in metal content in the engine oil of the target engine under each candidate engine operating condition.

[0113] Among them, the wear model corresponding to the engine friction pair is a tool that uses mathematical methods to describe the wear law of the friction pair under specific working conditions.

[0114] In one embodiment, the contact pressure distribution, engine material parameters, and relative friction velocity are used as input parameters of the wear model. Based on the contact pressure distribution, engine material parameters, and relative friction velocity, the wear model predicts the single-cycle wear depth of the engine friction pair under each candidate engine operating condition. The wear model then accumulates the single-cycle wear depth and the total number of cycles corresponding to each candidate engine operating condition to output the wear depth of the engine friction pair under each candidate engine operating condition.

[0115] Furthermore, the wear model predicts the single-cycle metal content increment generated by the engine friction pair under each candidate engine operating condition based on the contact pressure distribution, engine material parameters, and relative friction velocity. The wear model then accumulates the single-cycle metal content increment and the total number of cycles corresponding to each candidate engine operating condition to output the oil metal content increment generated by the target engine under each candidate engine operating condition.

[0116] Optionally, the total number of cycles corresponding to the candidate engine operating condition is determined by the following formula:

[0117] ni=si*ri / vi; where si is the candidate mileage of any candidate engine operating condition, vi is the average driving speed of the candidate engine operating condition, ri is the engine speed corresponding to the candidate engine operating condition, and ni is the total number of cycles corresponding to the candidate engine operating condition.

[0118] By determining the relative friction velocity of the engine friction pair under each candidate engine operating condition based on engine structural parameters, candidate operating condition parameters, engine oil performance parameters, and engine material parameters; and inputting the contact pressure distribution, engine material parameters, and relative friction velocity into a wear model corresponding to the engine friction pair, the wear model outputs the wear depth of the engine friction pair under each candidate engine operating condition, and outputs the increase in metal content of the engine oil produced by the target engine under each candidate engine operating condition. The beneficial effects are:

[0119] First, the wear depth and oil metal content increment output by the wear model can directly reflect the wear status of the friction pair and provide data support for the oil change cycle.

[0120] Secondly, predicting the wear depth of the friction pair under each candidate engine operating condition can identify the operating boundary conditions of the target engine and avoid sudden failures caused by excessive use.

[0121] Thirdly, traditional oil film thickness verification relies on precision instrument measurement, while the embodiments of the present invention reduce the number of bench tests through model simulation and shorten the R&D cycle.

[0122] S210 : Determine a maximum engine oil elevation temperature according to the engine oil elevation temperatures, and determine a minimum engine oil film thickness according to the engine oil film thickness distribution.

[0123] In one embodiment, statistics are collected on the oil temperature rise of the target engine under each candidate engine operating condition to identify the maximum oil temperature rise. Furthermore, statistics are collected on the engine oil film thickness distribution of the target engine under each candidate engine operating condition to identify the minimum engine oil film thickness.

[0124] S211. Determine that the engine oil state is to be replaced when at least one of the following conditions is met: the maximum engine oil temperature rise is greater than a first threshold; the minimum engine oil film thickness is less than a second threshold; the oil metal content increment is greater than a third threshold; and the wear depth is greater than a fourth threshold.

[0125] Among them, the first threshold is used to identify whether the maximum oil temperature rise is abnormal. That is, when the maximum oil temperature rise is greater than the first threshold, it indicates that the maximum oil temperature rise is abnormal; when the maximum oil temperature rise is less than or equal to the first threshold, it indicates that the maximum oil temperature rise is normal.

[0126] The second threshold is used to identify whether the minimum engine oil film thickness is abnormal. That is, when the minimum engine oil film thickness is less than the second threshold, it indicates that the minimum engine oil film thickness is abnormal; when the minimum engine oil film thickness is greater than or equal to the second threshold, it indicates that the minimum engine oil film thickness is normal.

[0127] The third threshold is used to identify whether the increase in the metal content of the engine oil is abnormal. That is, when the increase in the metal content of the engine oil is greater than the third threshold, it indicates that the increase in the metal content of the engine oil is abnormal; when the increase in the metal content of the engine oil is less than or equal to the third threshold, it indicates that the increase in the metal content of the engine oil is normal.

[0128] The fourth threshold is used to identify whether the wear depth is abnormal. That is, when the wear depth is greater than the fourth threshold, it indicates that the wear depth is abnormal; when the wear depth is less than or equal to the fourth threshold, it indicates that the wear depth is normal.

[0129] In one embodiment, when the maximum oil temperature rise is greater than a first threshold, the minimum engine oil film thickness is less than a second threshold, the oil metal content increase is greater than a third threshold, or the wear depth is greater than a fourth threshold, that is, when at least one of the four conditions is met, the oil state is determined to be a state to be replaced.

[0130] By determining the maximum engine oil rise temperature from the engine oil rise temperatures and determining the minimum engine oil film thickness from the engine oil film thickness distribution, the engine oil state is determined to be in a state to be replaced when at least one of the following conditions is met: the maximum engine oil rise temperature is greater than a first threshold; the minimum engine oil film thickness is less than a second threshold; the increase in the metal content of the engine oil is greater than a third threshold; and the wear depth is greater than a fourth threshold. The beneficial effect is that:

[0131] First, by comprehensively judging key parameters such as the maximum oil temperature rise, the minimum engine oil film thickness, the increase in oil metal content, and the wear depth, rather than judging by a single indicator, it avoids the misjudgment caused by traditional methods that rely solely on mileage or time, and improves the accuracy and reliability of oil status determination.

[0132] Secondly, the increase in metal content in the engine oil reflects the degree of wear of the friction pair of the target engine. Timely replacement of the friction pair can avoid damage to the key components of the friction pair.

[0133] Thirdly, compared with changing the engine oil at a fixed period, this solution can reduce unnecessary oil waste.

[0134] Optionally, also include:

[0135] A2. When all conditions are not met, it is determined that the engine oil is in a state where no replacement is required.

[0136] In one embodiment, when the maximum oil temperature rise is less than or equal to a first threshold, the minimum engine oil film thickness is greater than or equal to a second threshold, the oil metal content increment is less than or equal to a third threshold, and the wear depth is less than or equal to a fourth threshold, that is, when all four conditions are not met, it is determined that the oil state is a state that does not require replacement.

[0137] B2. If the engine oil is determined to be in a state where no replacement is required, determine the remaining life of the engine oil based on the maximum engine oil temperature rise, minimum engine oil film thickness, engine oil metal content increase, and wear depth.

[0138] Optionally, the remaining engine oil life is determined based on the maximum oil temperature rise, minimum engine oil film thickness, oil metal content increase, and wear depth, including:

[0139] B21. Perform regression fitting based on the maximum oil temperature rise and the total mileage of the target vehicle within the target time period to predict a first predicted mileage of the target vehicle when the maximum oil temperature rise is greater than a first threshold, and determine a first remaining oil life based on the total mileage and the first predicted mileage.

[0140] In one embodiment, a target regression algorithm is used to perform regression fitting based on the maximum oil temperature rise and the total mileage of the target vehicle within a target time period to predict a first predicted mileage of the target vehicle when the maximum oil temperature rise is greater than a first threshold. The target regression algorithm includes, but is not limited to, polynomial regression, ridge regression, LASSO regression, nonlinear regression, locally weighted regression, generalized additive model, support vector regression, random forest regression, or neural network regression.

[0141] Furthermore, the first engine oil remaining life is determined based on the ratio between the total mileage and the first predicted mileage. For example, assuming the total mileage is 5000 km and the first predicted mileage is 10000 km, the first engine oil remaining life is (1-5000 / 10000)×100%=50%.

[0142] B22. Perform regression fitting based on the minimum engine oil film thickness and the total mileage to predict a second predicted mileage of the target vehicle when the minimum engine oil film thickness is less than a second threshold, and determine a second remaining engine oil life based on the total mileage and the second predicted mileage.

[0143] In one embodiment, a target regression algorithm is used to perform regression fitting based on the minimum engine oil film thickness and the total mileage to predict a second predicted mileage of the target vehicle when the minimum engine oil film thickness is less than a second threshold. Furthermore, a second remaining engine oil life is determined based on the ratio between the total mileage and the second predicted mileage.

[0144] B23. Perform regression fitting based on the increase in the metal content of the engine oil and the total mileage to predict a third predicted mileage of the target vehicle when the increase in the metal content of the engine oil is greater than a third threshold, and determine a third remaining life of the engine oil based on the total mileage and the third predicted mileage.

[0145] In one embodiment, a target regression algorithm is used to perform regression fitting based on the oil metal content increment and the total mileage to predict a third predicted mileage of the target vehicle when the oil metal content increment exceeds a third threshold. Furthermore, a third remaining oil life is determined based on the ratio between the total mileage and the third predicted mileage.

[0146] B24. Perform regression fitting based on the wear depth and the total mileage to predict a fourth predicted mileage of the target vehicle when the wear depth is greater than a fourth threshold, and determine a fourth remaining engine oil life based on the total mileage and the fourth predicted mileage.

[0147] In one embodiment, a target regression algorithm is used to perform regression fitting based on the wear depth and total mileage to predict a fourth predicted mileage of the target vehicle when the wear depth is greater than a fourth threshold. Furthermore, a fourth remaining engine oil life is determined based on the ratio between the total mileage and the fourth predicted mileage.

[0148] B25. Determine the minimum remaining engine oil life among the first remaining engine oil life, the second remaining engine oil life, the third remaining engine oil life, and the fourth remaining engine oil life as the remaining engine oil life.

[0149] For example, assuming that the remaining life of the first engine oil is 40%, the remaining life of the second engine oil is 45%, the remaining life of the third engine oil is 50%, and the remaining life of the fourth engine oil is 55%, it is determined that the remaining life of the engine oil is 40%.

[0150] By performing regression fitting based on the maximum oil temperature rise and the total mileage of the target vehicle in the target time period, a first predicted mileage of the target vehicle is predicted when the maximum oil temperature rise is greater than a first threshold, and the first remaining life of the oil is determined based on the total mileage and the first predicted mileage; by performing regression fitting based on the minimum engine oil film thickness and the total mileage, a second predicted mileage of the target vehicle is predicted when the minimum engine oil film thickness is less than a second threshold, and the second remaining life of the oil is determined based on the total mileage and the second predicted mileage; Regression fitting is performed to predict a third predicted mileage of the target vehicle when the oil metal content increment is greater than a third threshold value, and a third remaining oil life is determined based on the total mileage and the third predicted mileage; regression fitting is performed based on the wear depth and the total mileage to predict a fourth predicted mileage of the target vehicle when the wear depth is greater than a fourth threshold value, and a fourth remaining oil life is determined based on the total mileage and the fourth predicted mileage; and the minimum remaining oil life among the first remaining oil life, the second remaining oil life, the third remaining oil life, and the fourth remaining oil life is determined as the remaining oil life. The beneficial effects are:

[0151] First, by selecting the minimum value of multiple oil remaining life indicators (first to fourth) as the final life judgment value, the risk of accidental error or delay of a single indicator can be avoided, and the reliability of the oil change warning can be improved.

[0152] Secondly, users do not need to manually compare multiple life indicators. The minimum value can be directly used as the basis for oil change, reducing the complexity of operation.

[0153] C2. Visualize the remaining life of the engine oil.

[0154] In one embodiment, the instrument panel or central control screen of the target vehicle is controlled to visually display the remaining life of the engine oil.

[0155] By determining that the oil status does not require replacement when various conditions are not met, and determining the remaining oil life based on the maximum oil temperature rise, minimum engine oil film thickness, oil metal content increment, and wear depth when the oil status is determined to not require replacement, and visually displaying the remaining oil life, the beneficial effects are:

[0156] Firstly, by comprehensively monitoring four key parameters, namely, maximum oil temperature rise, minimum engine oil film thickness, oil metal content increment and wear depth, the oil status can be dynamically assessed, avoiding the traditional "one-size-fits-all" replacement strategy based on fixed mileage or time.

[0157] Secondly, the remaining life of the engine oil is displayed visually to help users plan maintenance time intuitively and lower the user's cognitive threshold for complex parameters.

[0158] Optionally, also include:

[0159] Each candidate operating condition parameter is matched with the historical data mapping relationship, and a candidate operating index is determined based on the matching result; and the oil state of the target engine is determined based on the candidate operating index.

[0160] The historical data mapping relationship is constructed based on at least one historical operating condition parameter of the target engine that occurs within a historical time period, and a historical operating index generated by the target engine under each historical engine operating condition.

[0161] For example, assuming that any candidate operating condition parameter is "actual torque percentage 5-10%, engine speed 700-800r / min, candidate mileage 500km", assuming that there is a historical operating condition parameter "actual torque percentage 5-10%, engine speed 700-800r / min, historical mileage 500km" in the historical data mapping relationship, and its associated historical operating indicators are "oil temperature increase A, oil metal content increase B, engine oil film thickness distribution C, and engine friction pair wear depth D", then "oil temperature increase A, oil metal content increase B, engine oil film thickness distribution C, and engine friction pair wear depth D" are used as candidate operating indicators, and then the oil state of the target engine is determined based on the candidate operating indicators.

[0162] By matching each candidate operating condition parameter with a historical data mapping relationship, and determining a candidate operating index based on the matching results, and determining the target engine's oil condition based on the candidate operating index, wherein the historical data mapping relationship is constructed based on at least one historical operating condition parameter of the target engine occurring within a historical time period, and the historical operating index generated by the target engine under various historical engine operating conditions, the beneficial effects are:

[0163] First, by establishing a historical data mapping relationship, when the same operating parameters are encountered in the future, the related historical operating indicators can be directly fed back without recalculation, thereby improving the efficiency of determining the operating indicators.

[0164] Secondly, mapping relationships are built based on historical data to reduce dependence on high-precision real-time sensors and reduce data collection costs.

[0165] Thirdly, by mapping the historical operating parameters with the historical operation indicators, a multi-dimensional data association model is established to avoid misjudgment of a single parameter.

[0166] Example 3

[0167] Figure 3 This is a schematic diagram of a structure of an oil state determination device provided by the third embodiment of the present invention, which can be used to combine engine attribute parameters and candidate operating condition parameters to determine dynamic candidate operating indicators for identifying oil state conditions, such as Figure 3 As shown, the device includes:

[0168] The operating condition parameter generating module 31 is configured to determine at least one candidate engine operating condition occurring within a target time period, and a candidate driving range of the target vehicle under each of the candidate engine operating conditions, and to generate at least one candidate operating condition parameter based on the candidate engine operating conditions and the candidate driving range; wherein the target time period is the period between the current time and the previous oil change time;

[0169] an operating index determination module 32 for determining, based on the engine attribute parameters of the target engine and the candidate operating condition parameters, candidate operating indexes of the target engine under each of the candidate engine operating conditions; wherein the candidate operating indexes are at least one of engine oil temperature rise, engine oil metal content increase, engine oil film thickness distribution, and wear depth of an engine friction pair;

[0170] The oil state determination module 33 is configured to determine the oil state of the target engine according to the candidate operating index.

[0171] Optionally, the engine property parameter is at least one of an engine oil performance parameter, an engine structure parameter, and an engine material parameter;

[0172] The operation index determination module 32 is specifically used to:

[0173] The engine oil performance parameters, the engine structure parameters, the engine material parameters, and the candidate operating condition parameters are input into an oil film thickness prediction model, so that the oil film thickness prediction model outputs the engine oil film thickness distribution generated by the target engine under each of the candidate engine operating conditions.

[0174] Optionally, the device further includes a deformation verification module, specifically configured to:

[0175] determining an engine oil film pressure distribution generated by the target engine under each of the candidate engine operating conditions, and inputting the engine oil film thickness distribution and the engine structural parameters into a contact model corresponding to the engine friction pair, so that the contact model outputs a contact pressure distribution generated by the engine friction pair under each of the candidate engine operating conditions;

[0176] Inputting the engine oil film pressure distribution, the contact pressure distribution, the engine structural parameters, and the engine material parameters into a deformation model corresponding to the engine friction pair, so that the deformation model outputs the deformation amount of the engine friction pair;

[0177] The stability of the deformation is checked according to a deformation convergence state of the deformation.

[0178] Optionally, the operation indicator determination module 32 is specifically configured to:

[0179] determining a fluid velocity of the target engine oil under each of the candidate engine operating conditions based on the engine structural parameters, the candidate operating condition parameters, the engine oil performance parameters, the engine oil film pressure distribution, and the engine oil film thickness distribution;

[0180] The engine oil performance parameter and the fluid velocity are input into an oil energy model, so that the oil energy model outputs the oil temperature increase generated by the target engine under each of the candidate engine operating conditions.

[0181] Optionally, the operation indicator determination module 32 is specifically configured to:

[0182] determining a relative friction speed of the engine friction pair under each of the candidate engine operating conditions based on the engine structural parameters, the candidate operating condition parameters, the engine oil performance parameters, and the engine material parameters;

[0183] The contact pressure distribution, the engine material parameters, and the relative friction speed are input into the wear model corresponding to the engine friction pair, so that the wear model outputs the wear depth generated by the engine friction pair under each of the candidate engine operating conditions, and outputs the oil metal content increment generated by the target engine under each of the candidate engine operating conditions.

[0184] Optionally, the deformation verification module is further configured to:

[0185] determining a target engine lubrication mode from candidate engine lubrication modes according to the engine oil film thickness distribution;

[0186] Determine a target lubrication model corresponding to the target engine lubrication mode, and input the engine oil film thickness and the engine oil performance parameters into the target lubrication model, so that the target lubrication model outputs the engine oil film pressure distribution generated by the target engine under each of the candidate engine operating conditions.

[0187] Optionally, the device further includes a temperature calibration module, specifically configured to:

[0188] determining a temperature convergence state of the increased temperature of the engine oil;

[0189] The stability of the oil temperature increase is checked according to the temperature convergence state.

[0190] Optionally, the oil state determination module 33 is specifically configured to:

[0191] determining a maximum engine oil rise temperature according to the engine oil rise temperatures, and determining a minimum engine oil film thickness according to the engine oil film thickness distribution;

[0192] The engine oil state is determined to be a state to be replaced when at least one of the following conditions is met:

[0193] The maximum oil rise temperature is greater than a first threshold;

[0194] The minimum engine oil film thickness is less than a second threshold;

[0195] The increase in the metal content in the engine oil is greater than a third threshold;

[0196] The wear depth is greater than a fourth threshold.

[0197] Optionally, the device further includes an engine oil remaining life determination module, specifically configured to:

[0198] When the conditions are not met, determining that the engine oil is in a state where it does not need to be replaced;

[0199] When it is determined that the engine oil state is a state where replacement is not required, determining the remaining life of the engine oil based on the maximum engine oil temperature rise, the minimum engine oil film thickness, the engine oil metal content increase, and the wear depth;

[0200] The remaining life of the engine oil is visually displayed.

[0201] Optionally, the engine oil remaining life determination module is further configured to:

[0202] performing regression fitting based on the maximum engine oil temperature rise and the total mileage of the target vehicle within the target time period to predict a first predicted mileage of the target vehicle when the maximum engine oil temperature rise is greater than the first threshold, and determining a first engine oil remaining life based on the total mileage and the first predicted mileage;

[0203] performing regression fitting based on the minimum engine oil film thickness and the total mileage to predict a second predicted mileage of the target vehicle when the minimum engine oil film thickness is less than the second threshold, and determining a second remaining engine oil life based on the total mileage and the second predicted mileage;

[0204] performing regression fitting based on the engine oil metal content increment and the total mileage to predict a third predicted mileage of the target vehicle when the engine oil metal content increment is greater than the third threshold, and determining a third engine oil remaining life based on the total mileage and the third predicted mileage;

[0205] performing regression fitting based on the wear depth and the total mileage to predict a fourth predicted mileage of the target vehicle when the wear depth is greater than a fourth threshold, and determining a fourth remaining engine oil life based on the total mileage and the fourth predicted mileage;

[0206] The minimum remaining engine oil life among the first remaining engine oil life, the second remaining engine oil life, the third remaining engine oil life, and the fourth remaining engine oil life is determined as the remaining engine oil life.

[0207] Optionally, the device further includes a historical data matching module, specifically configured to:

[0208] Matching each candidate operating condition parameter with a historical data mapping relationship, and determining the candidate operating index based on the matching result; wherein the historical data mapping relationship is constructed based on at least one historical operating condition parameter of the target engine occurring within a historical time period and the historical operating index generated by the target engine under each historical engine operating condition;

[0209] The oil state of the target engine is determined according to the candidate operating index.

[0210] The device for determining the oil status provided in the embodiment of the present invention can execute the method for determining the oil status provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0211] According to an embodiment of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium, and a computer program product.

[0212] Example 4

[0213] Figure 4A schematic diagram of the structure of an electronic device 40 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or claimed herein.

[0214] like Figure 4 As shown, the electronic device 40 includes at least one processor 41 and a memory, such as a read-only memory (ROM) 42, a random access memory (RAM) 43, etc., which is communicatively connected to the at least one processor 41. The memory stores a computer program that can be executed by the at least one processor, and the processor 41 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 42 or the computer program loaded from the storage unit 48 into the random access memory (RAM) 43. Various programs and data required for the operation of the electronic device 40 can also be stored in the RAM 43. The processor 41, ROM 42, and RAM 43 are connected to each other via a bus 44. An input / output (I / O) interface 45 is also connected to the bus 44.

[0215] Multiple components in the electronic device 40 are connected to the I / O interface 45, including an input unit 46, such as a keyboard, a mouse, etc.; an output unit 47, such as various types of displays, speakers, etc.; a storage unit 48, such as a magnetic disk, an optical disk, etc.; and a communication unit 49, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 49 allows the electronic device 40 to exchange information / data with other devices via a computer network such as the Internet and / or various telecommunication networks.

[0216] Processor 41 can be any general-purpose and / or specialized processing component with processing and computing capabilities. Some examples of processor 41 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various specialized artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any other suitable processor, controller, microcontroller, etc. Processor 41 executes the various methods and processes described above, such as the method for determining the engine oil status.

[0217] In some embodiments, the method for determining the engine oil condition can be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as storage unit 48. In some embodiments, part or all of the computer program can be loaded and / or installed on electronic device 40 via ROM 42 and / or communication unit 49. When the computer program is loaded into RAM 43 and executed by processor 41, one or more steps of the method for determining the engine oil condition described above can be performed. Alternatively, in other embodiments, processor 41 can be configured to perform the method for determining the engine oil condition in any other suitable manner (e.g., via firmware).

[0218] Various embodiments of the systems and techniques described above can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), system-on-chip systems (SOCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include being implemented in one or more computer programs that are executable and / or interpreted on a programmable system that includes at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0219] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when the computer program is executed by the processor, the functions / operations specified in the flowcharts and / or block diagrams are implemented. The computer program may be executed entirely on the machine, partially on the machine, as a stand-alone software package, partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0220] In the context of the present invention, computer-readable storage media can be tangible media that can contain or store a computer program for use with an instruction execution system, device or equipment or used in combination with an instruction execution system, device or equipment. Computer-readable storage media can include but are not limited to electronic, magnetic, optical, electromagnetic, infrared or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, computer-readable storage media can be machine-readable signal media. More specific examples of machine-readable storage media can include electrical connections based on one or more lines, portable computer disks, hard disks, random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM or flash memory), optical fibers, portable compact disk read-only memories (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0221] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0222] The systems and techniques described herein can be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0223] A computing system may include clients and servers. The clients and servers are typically remote from each other and typically interact via a communication network. This client-server relationship arises through computer programs running on the respective computers, creating a client-server relationship. The server may be a cloud server, also known as a cloud computing server or cloud host. This server is a hosting product within the cloud computing service ecosystem that addresses the management difficulties and limited scalability of traditional physical hosting and VPS services.

[0224] It should be understood that the various forms of the processes shown above can be used to reorder, add, or delete steps. For example, the steps described in the present invention can be performed in parallel, sequentially, or in a different order, as long as the desired results of the technical solution of the present invention can be achieved. This is not limited herein.

[0225] The above specific embodiments do not limit the scope of protection of the present invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions may be made based on design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention are intended to be included within the scope of protection of the present invention.

Claims

1. A method for determining the state of engine oil, characterized in that: The method comprises: determining at least one candidate engine operating condition occurring within a target time period for a target engine and a candidate driving range of a target vehicle under each of the candidate engine operating conditions, and generating at least one candidate operating condition parameter based on the candidate engine operating conditions and the candidate driving range; wherein the target time period is the period between a current time and a previous oil change time; determining, based on the engine attribute parameters of the target engine and the candidate operating condition parameters, candidate operating indicators generated by the target engine under each of the candidate engine operating conditions; wherein the candidate operating indicator is at least one of an engine oil temperature rise, an engine oil metal content increase, an engine oil film thickness distribution, and a wear depth of an engine friction pair; The oil state of the target engine is determined according to the candidate operating index.

2. The method according to claim 1, characterized in that The engine property parameter is at least one of an engine oil performance parameter, an engine structure parameter, and an engine material parameter; The determining, based on the engine attribute parameters of the target engine and the candidate operating condition parameters, the candidate operating indicators generated by the target engine under each of the candidate engine operating conditions includes: The engine oil performance parameters, the engine structure parameters, the engine material parameters, and the candidate operating condition parameters are input into an oil film thickness prediction model, so that the oil film thickness prediction model outputs the engine oil film thickness distribution generated by the target engine under each of the candidate engine operating conditions.

3. The method according to claim 2, further comprising: determining an engine oil film pressure distribution generated by the target engine under each of the candidate engine operating conditions, and inputting the engine oil film thickness distribution and the engine structural parameters into a contact model corresponding to the engine friction pair, so that the contact model outputs a contact pressure distribution generated by the engine friction pair under each of the candidate engine operating conditions; Inputting the engine oil film pressure distribution, the contact pressure distribution, the engine structural parameters, and the engine material parameters into a deformation model corresponding to the engine friction pair, so that the deformation model outputs the deformation amount of the engine friction pair; The stability of the deformation is checked according to a deformation convergence state of the deformation.

4. The method according to claim 3, characterized in that The determining, based on the engine attribute parameters of the target engine and the candidate operating condition parameters, the candidate operating indicators generated by the target engine under each of the candidate engine operating conditions includes: determining a fluid velocity of the target engine oil under each of the candidate engine operating conditions based on the engine structural parameters, the candidate operating condition parameters, the engine oil performance parameters, the engine oil film pressure distribution, and the engine oil film thickness distribution; The engine oil performance parameter and the fluid velocity are input into an oil energy model, so that the oil energy model outputs the oil temperature increase generated by the target engine under each of the candidate engine operating conditions.

5. The method according to claim 3, characterized in that The determining, based on the engine attribute parameters of the target engine and the candidate operating condition parameters, the candidate operating indicators generated by the target engine under each of the candidate engine operating conditions includes: determining a relative friction speed of the engine friction pair under each of the candidate engine operating conditions based on the engine structural parameters, the candidate operating condition parameters, the engine oil performance parameters, and the engine material parameters; The contact pressure distribution, the engine material parameters, and the relative friction speed are input into the wear model corresponding to the engine friction pair, so that the wear model outputs the wear depth generated by the engine friction pair under each of the candidate engine operating conditions, and outputs the oil metal content increment generated by the target engine under each of the candidate engine operating conditions.

6. The method according to claim 3, characterized in that Determining the engine oil film pressure distribution generated by the target engine under each of the candidate engine operating conditions includes: determining a target engine lubrication mode from candidate engine lubrication modes according to the engine oil film thickness distribution; Determine a target lubrication model corresponding to the target engine lubrication mode, and input the engine oil film thickness and the engine oil performance parameters into the target lubrication model, so that the target lubrication model outputs the engine oil film pressure distribution generated by the target engine under each of the candidate engine operating conditions.

7. The method according to claim 4, further comprising: determining a temperature convergence state of the increased temperature of the engine oil; The stability of the oil temperature increase is checked according to the temperature convergence state.

8. The method according to claim 1, characterized in that Determining the oil state of the target engine according to the candidate operating index includes: determining a maximum engine oil rise temperature according to the engine oil rise temperatures, and determining a minimum engine oil film thickness according to the engine oil film thickness distribution; The engine oil state is determined to be a state to be replaced when at least one of the following conditions is met: The maximum oil rise temperature is greater than a first threshold; The minimum engine oil film thickness is less than a second threshold; The increase in the metal content in the engine oil is greater than a third threshold; The wear depth is greater than a fourth threshold.

9. The method according to claim 8, further comprising: When the conditions are not met, determining that the engine oil is in a state where it does not need to be replaced; When it is determined that the engine oil state is a state where replacement is not required, determining the remaining life of the engine oil based on the maximum engine oil temperature rise, the minimum engine oil film thickness, the engine oil metal content increase, and the wear depth; The remaining life of the engine oil is visually displayed.

10. The method according to claim 9, characterized in that The determining of the remaining life of the engine oil according to the maximum engine oil rise temperature, the minimum engine oil film thickness, the engine oil metal content increment, and the wear depth includes: performing regression fitting based on the maximum engine oil temperature rise and the total mileage of the target vehicle within the target time period to predict a first predicted mileage of the target vehicle when the maximum engine oil temperature rise is greater than the first threshold, and determining a first engine oil remaining life based on the total mileage and the first predicted mileage; performing regression fitting based on the minimum engine oil film thickness and the total mileage to predict a second predicted mileage of the target vehicle when the minimum engine oil film thickness is less than the second threshold, and determining a second remaining engine oil life based on the total mileage and the second predicted mileage; performing regression fitting based on the engine oil metal content increment and the total mileage to predict a third predicted mileage of the target vehicle when the engine oil metal content increment is greater than the third threshold, and determining a third engine oil remaining life based on the total mileage and the third predicted mileage; performing regression fitting based on the wear depth and the total mileage to predict a fourth predicted mileage of the target vehicle when the wear depth is greater than a fourth threshold, and determining a fourth remaining engine oil life based on the total mileage and the fourth predicted mileage; The minimum remaining engine oil life among the first remaining engine oil life, the second remaining engine oil life, the third remaining engine oil life, and the fourth remaining engine oil life is determined as the remaining engine oil life.

11. The method according to claim 1 , further comprising: Matching each candidate operating condition parameter with a historical data mapping relationship, and determining the candidate operating index based on the matching result; wherein the historical data mapping relationship is constructed based on at least one historical operating condition parameter of the target engine occurring within a historical time period and the historical operating index generated by the target engine under each historical engine operating condition; The oil state of the target engine is determined according to the candidate operating index.

12. A device for determining an engine oil state, characterized in that: The device comprises: an operating condition parameter generation module, configured to determine at least one candidate engine operating condition occurring within a target time period for a target engine, and a candidate driving range of a target vehicle under each of the candidate engine operating conditions, and to generate at least one candidate operating condition parameter based on the candidate engine operating conditions and the candidate driving range; wherein the target time period is the period between a current time and a previous oil change time; an operating index determination module, configured to determine, based on the engine attribute parameters of the target engine and the candidate operating condition parameters, a candidate operating index generated by the target engine under each of the candidate engine operating conditions; wherein the candidate operating index is at least one of an engine oil temperature rise, an engine oil metal content increase, an engine oil film thickness distribution, and a wear depth of an engine friction pair; The oil state determination module is used to determine the oil state of the target engine according to the candidate operating index.

13. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor. The computer program is executed by the at least one processor to enable the at least one processor to perform the method for determining the engine oil state according to any one of claims 1 to 11.

14. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to execute the method for determining the engine oil state according to any one of claims 1 to 11.

15. A computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the computer program implements the method for determining the engine oil state according to any one of claims 1 to 11.

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