Oil detection method, electronic equipment, vehicle and storage medium

Abstract

The invention provides an oil liquid detection method, electronic equipment, a vehicle and a storage medium, the method is applied to the technical field of transmission maintenance, and the method comprises the steps that the current oil liquid flow velocity corresponding to a target oil duct in a target transmission is detected; calculating a first oil viscosity value according to the current oil flow rate; a standard oil viscosity value and a standard deviation value corresponding to the current working parameters are determined, the standard deviation value refers to the deviation between the standard oil viscosity value and a theoretical oil viscosity value corresponding to the current working parameters, and the standard oil viscosity value is obtained in a direct measurement mode in a standard experimental environment; the theoretical oil viscosity value is obtained in a theoretical calculation mode in a standard experimental environment; and determining the oil quality state of the target transmission according to the standard oil viscosity value, the standard deviation value and the first oil viscosity value. According to the method, the quality oil of the transmission can be effectively evaluated, so that accurate oil maintenance suggestions can be provided.

Description

Technical Field

[0001] This application relates to the field of transmission maintenance technology, and more specifically, to a method for detecting fluid, electronic equipment, vehicle, and storage medium in the field of transmission maintenance technology. Background Technology

[0002] Currently, vehicle transmissions typically require regular fluid changes. Transmission fluid maintenance decisions primarily rely on fixed time or mileage intervals, with a generally recommended interval of no more than 48 months or 80,000 kilometers. This recommendation is mainly based on fluid performance degradation under the most demanding operating conditions to ensure reliable transmission operation even under extreme usage.

[0003] However, actual vehicle operating conditions vary significantly, and most car owners' daily driving conditions are not among the most demanding. Their transmission fluid may not actually be in a condition requiring replacement. However, car owners typically adhere strictly to fixed maintenance schedules, which can lead to unnecessary maintenance—replacing the fluid when it still possesses normal lubrication and protective capabilities. This results in economic waste and resource consumption, and may also pose a potential risk, albeit a low probability, of transmission damage due to deteriorated fluid not being replaced in time. Therefore, how to effectively assess the quality of transmission fluid through technical means to provide accurate fluid maintenance recommendations has become an urgent technical problem to be solved. Summary of the Invention

[0004] This application provides a method for detecting fluid, an electronic device, a vehicle, and a storage medium. This method can provide accurate fluid maintenance recommendations by effectively assessing the quality of the transmission fluid.

[0005] Firstly, a method for detecting fluid is provided. This method includes: detecting the current fluid flow rate corresponding to a target oil passage inside a target transmission; calculating a first fluid viscosity value based on the current fluid flow rate; determining a standard fluid viscosity value and a standard deviation value corresponding to the current operating parameters of the target transmission, wherein the standard deviation value refers to the deviation between the standard fluid viscosity value and the theoretical fluid viscosity value corresponding to the current operating parameters, the standard fluid viscosity value being obtained by direct measurement under standard experimental conditions, and the theoretical fluid viscosity value being obtained by theoretical calculation under the standard experimental conditions; and determining the fluid quality state of the target transmission based on the standard fluid viscosity value, the standard deviation value, and the first fluid viscosity value.

[0006] The aforementioned technical solution calculates the first oil viscosity value by detecting the current oil flow rate corresponding to the target oil passage in the target transmission. This achieves the theoretical calculation of the key performance parameter, viscosity, transforming viscosity, an indicator that is difficult to measure directly on a real vehicle, into a method that can be calculated based on flow rate. This overcomes the challenge of direct viscosity measurement within the space-constrained interior of the transmission. The standard oil viscosity value and its standard deviation are dynamically obtained based on the current operating parameters of the transmission, establishing an adaptive evaluation benchmark for oil quality assessment. This allows the evaluation benchmark to adjust adaptively with the actual operating parameters of the transmission, improving the scientific rigor and accuracy of oil quality testing. A comprehensive comparison and analysis of the standard oil viscosity value, standard deviation value, and first oil viscosity reliably determines whether the oil has deteriorated. This method breaks through the reliance on fixed-cycle maintenance models, providing a technical basis for accurate and timely oil maintenance recommendations by objectively assessing the actual quality state of the oil, thus balancing transmission reliability and maintenance economy.

[0007] In conjunction with the first aspect, in some possible implementations, determining the standard oil viscosity value and standard deviation value corresponding to the current operating parameters of the target transmission includes: querying a first correspondence relationship based on the current operating parameters of the target transmission to obtain the standard oil viscosity value corresponding to the current operating parameters; wherein the first correspondence relationship describes the standard oil viscosity value under different operating parameters; and querying a second correspondence relationship based on the current operating parameters of the target transmission to obtain the standard deviation value corresponding to the current operating parameters; wherein the second correspondence relationship describes the standard deviation value under different operating parameters.

[0008] The above technical solution, by introducing a pre-calibrated first and second correspondence, can quickly and accurately obtain the standard oil viscosity value and standard deviation value corresponding to the current working parameters, providing a dynamic evaluation benchmark that matches the current parameters for real-time monitoring of oil quality status, which is conducive to improving the accuracy of oil quality status judgment.

[0009] In combination with the first aspect and the above implementation methods, in some possible implementation methods, the standard oil viscosity value under each working parameter in the first correspondence is determined in the following way: under standard experimental conditions, a standard transmission of the same specifications as the target transmission is selected, and the standard oil viscosity value of the standard transmission under the working parameters is measured by a viscosity testing device.

[0010] The above technical solution uses a standard transmission of the same specifications as the target transmission, ensuring consistency between the experimental measurement environment and the actual application scenario in terms of geometry, flow characteristics, and working mechanism, thus eliminating systematic errors introduced by structural differences. In the standard experimental environment, different operating parameters are simulated, and viscosity measurements are performed under these different parameters. This facilitates the accurate acquisition of standard oil viscosity values ​​under different operating parameters, ensuring the effectiveness and accuracy of the overall oil quality assessment.

[0011] In combination with the first aspect and the above implementation methods, in some possible implementation methods, the standard deviation value of each working parameter in the second correspondence is determined in the following way: under the standard experimental environment, the standard oil flow rate corresponding to the standard oil passage in the standard transmission under the working parameters is detected; based on the standard oil flow rate and the characteristic parameters of the standard oil passage, the theoretical oil viscosity value of the standard transmission under the working parameters is calculated; the deviation value between the standard oil viscosity value of the standard transmission under the working parameters and the theoretical oil viscosity value is taken as the standard deviation value under the working parameters.

[0012] The above technical solution compares the theoretically calculated oil viscosity value with the standard oil viscosity value directly measured by a viscosity testing device under the same standard experimental environment to obtain the standard deviation value under different operating parameters. This standard deviation value essentially characterizes the deviation between the theoretically calculated viscosity value and the actually measured viscosity value under specific operating parameters. Storing the standard deviation value and the corresponding operating parameters in a second correspondence allows for the rapid acquisition of a standard deviation value suitable for the current operating parameters during real-time monitoring. This facilitates the correction of the currently calculated first oil viscosity value, improving the reliability and credibility of the overall oil quality status judgment result.

[0013] In conjunction with the first aspect and the above implementation methods, in some possible implementation methods, determining the fluid quality state of the target transmission based on the standard fluid viscosity value, the standard deviation value, and the first fluid viscosity value includes: determining a second fluid viscosity value based on the first fluid viscosity value and the standard deviation value; determining the fluid quality state of the target transmission as a first state when the absolute value of the deviation between the second fluid viscosity value and the standard fluid viscosity value is greater than a preset threshold; and determining the fluid quality state of the target transmission as a second state when the absolute value of the deviation between the second fluid viscosity value and the standard fluid viscosity value is less than or equal to the preset threshold; wherein the fluid quality represented by the first state is lower than the fluid quality represented by the second state.

[0014] The above technical solution corrects the first oil viscosity value based on a known standard deviation, which helps to obtain a reliable viscosity assessment value, namely the second oil viscosity value, for final condition determination. By comparing the absolute value of the deviation between the second oil viscosity value and the standard oil viscosity value with a preset threshold, the good and deteriorated states of the oil can be clearly and accurately distinguished, providing technical support for achieving true on-demand oil maintenance.

[0015] In combination with the first aspect and the above implementation methods, in some possible implementation methods, the step of calculating the first oil viscosity value based on the current oil flow rate includes: obtaining the length and radius of the target oil passage and the pressure difference between the two ends of the target oil passage; substituting the current oil flow rate, the length and radius of the target oil passage and the pressure difference between the two ends of the target oil passage into the Poiseuille formula to calculate the first oil viscosity value.

[0016] The above technical solution, based on the deterministic relationship between flow velocity, oil passage length, radius, pressure difference and viscosity defined by Poiseuille's formula, can accurately calculate the current first oil viscosity value through theoretical calculation.

[0017] In combination with the first aspect and the above implementation methods, in some possible implementation methods, a flow rate sensor is provided in the target oil passage, and the detection of the current oil flow rate corresponding to the target oil passage inside the target transmission includes: detecting the current oil flow rate corresponding to the target oil passage inside the target transmission through the flow rate sensor.

[0018] The above technical solution, by integrating a flow rate sensor into the target oil passage, enables online and real-time monitoring of the actual oil flow state during the operation of the target transmission, providing accurate and reliable basic data input for subsequent viscosity calculation.

[0019] Secondly, an oil detection device is provided, comprising: a detection module for detecting the current oil flow rate corresponding to a target oil passage inside a target transmission; a calculation module for calculating a first oil viscosity value based on the current oil flow rate; a first determination module for determining a standard oil viscosity value and a standard deviation value corresponding to the current operating parameters of the target transmission, wherein the standard deviation value refers to the deviation between the standard oil viscosity value and the theoretical oil viscosity value corresponding to the current operating parameters, the standard oil viscosity value being obtained by direct measurement under standard experimental conditions, and the theoretical oil viscosity value being obtained by theoretical calculation under standard experimental conditions; and a second determination module for determining the oil quality state of the target transmission based on the standard oil viscosity value, the standard deviation value, and the first oil viscosity value.

[0020] Thirdly, an electronic device is provided, comprising: a memory for storing executable program code; and a processor for calling and running the executable program code from the memory, causing the electronic device to perform the method as described in the first aspect or any possible implementation thereof.

[0021] Fourthly, a vehicle is provided, the vehicle including: the electronic equipment described in the third aspect above.

[0022] Fifthly, a computer program product is provided, comprising: computer program code, which, when run on a computer, causes the computer to perform the methods described in the first aspect or any possible implementation thereof.

[0023] In a sixth aspect, a non-volatile storage medium is provided, which stores computer program code that, when executed on a computer, causes the computer to perform the method described in the first aspect or any possible implementation thereof. Attached Figure Description

[0024] Figure 1 This is an illustrative flowchart of an oil detection method provided in an embodiment of this application; Figure 2 This is an illustrative flowchart of another oil detection method provided in the embodiments of this application; Figure 3 This is a schematic diagram of the structure of an oil detection device provided in an embodiment of this application; Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0025] The technical solutions in this application will be clearly and thoroughly described below with reference to the accompanying drawings. In the description of the embodiments of this application, unless otherwise stated, " / " means "or," for example, A / B can mean A or B. "And / or" in the text is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Furthermore, in the description of the embodiments of this application, "multiple" refers to two or more than two.

[0026] Hereinafter, the terms "first" and "second" are used for descriptive purposes only and should not be construed as implying or suggesting relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature.

[0027] Currently, vehicle transmissions typically require regular fluid changes, with a generally recommended maintenance interval of no more than 48 months or 80,000 kilometers. This recommendation is primarily based on fluid performance degradation under the most demanding operating conditions to ensure reliable transmission operation even in extreme conditions.

[0028] However, actual vehicle operating conditions vary considerably, and most car owners' daily driving conditions are not among the most demanding. Their transmission fluid may not actually be in a condition requiring replacement. Due to the lack of simple and reliable technical means to assess the fluid's actual performance in real time, car owners typically have to strictly adhere to fixed maintenance schedules. This can lead to unnecessary maintenance, where the fluid is replaced when it still possesses normal lubrication and protective capabilities, resulting in economic waste and resource consumption. It may also pose a potential risk, albeit a low probability, but there is still a possibility of transmission damage due to deteriorated fluid not being replaced in time.

[0029] In other words, transmission fluid maintenance decisions primarily rely on fixed time or mileage intervals, lacking real-time and accurate assessment of the fluid's actual condition. This not only leads many car owners to perform unnecessary fluid changes when the fluid is still usable, but also results in some vehicles failing to undergo timely maintenance when the fluid has severely deteriorated, potentially impacting transmission lifespan and driving safety. Therefore, how to effectively assess transmission fluid quality through technical means to provide accurate fluid maintenance recommendations has become an urgent technical problem to be solved.

[0030] To accurately assess the quality of transmission fluid, this application, through research, found that transmission fluid quality deterioration is mainly manifested in changes in its physical and chemical properties. Transmission fluid failure primarily involves the following aspects: Firstly, the viscosity change caused by moisture intrusion. Transmission fluid is extremely sensitive to moisture content, generally requiring a water content of no more than 0.1% (by volume), with stricter standards requiring less than 0.05%. After moisture intrusion, the fluid viscosity exhibits a trend of first increasing and then decreasing: In the initial stage, as the water content increases, the viscosity of the lubricating oil rises because the presence of water alters the intermolecular forces, strengthening the intermolecular interactions and thus increasing viscosity. When the water content reaches a certain level (e.g., around 30%), the viscosity reaches its maximum. In the later stage, as the water content continues to increase, the viscosity of the lubricating oil decreases rapidly and gradually stabilizes. At this point, excessive moisture damages the structure of the lubricating oil, forming an oil-water emulsion, which deteriorates the lubricating performance, manifested as a decrease in viscosity.

[0031] Secondly, the shear effect causes the molecular chain breakage of base oils. Under high shear stress conditions (such as gear meshing and bearing friction), long-chain hydrocarbon molecules in lubricating oils will break down, forming shorter, smaller molecular structures. This phenomenon is particularly evident in compound oils containing viscosity index improvers (VII). Under shear stress, the molecular chains of polymer additives break down, directly leading to a decrease in the apparent viscosity of the oil.

[0032] Thirdly, decomposition and oxidation reactions. High-temperature environments (>100℃) accelerate the thermal decomposition of base oils, causing C-C bonds to break and produce light hydrocarbon components. Simultaneously, the oxidation process generates low-molecular-weight acids, aldehydes, ketones, and other products, which both reduce viscosity and cause corrosion. Experimental data shows that for every 10℃ increase in temperature, the oxidation rate of mineral oil increases by approximately 1.8 times, leading to a correlation between an increase in TAN (total acid number) and a decrease in viscosity.

[0033] Fourthly, the combined effect of viscosity rebound. After long-term use, the viscosity of the oil may rebound due to the polar association of oxidation products, the polymerization of gums and asphaltenes, and the hydrodynamic effects of suspended solids. However, modern transmissions are usually equipped with multi-layer filtration systems and sedimentation structures, which can effectively isolate sludge and solid impurities. The oil pump also draws the filtered upper layer of oil. Therefore, the viscosity rebound effect caused by sediment has a relatively small impact in actual operation and can be disregarded.

[0034] Based on the above analysis, it is clear that changes in fluid viscosity can effectively reflect the degree of quality deterioration. Therefore, accurate monitoring of the viscosity of the fluid within the transmission can provide crucial information for assessing its quality. However, traditional viscosity measuring devices are often complex in structure and large in size, making direct integration into the space-constrained interior of the transmission difficult and potentially affecting its original structure and function. To address this technical challenge, this application provides a method for detecting fluid viscosity. This method introduces an indirect viscosity assessment approach, calculating the viscosity value by detecting the flow rate of the fluid within a target oil passage. This indirect detection method avoids installing a large viscosity measuring device inside the transmission, requiring only a miniaturized flow rate sensing element. It requires minimal modification to the original transmission structure, is easy to integrate, and provides a practical and feasible solution for real-time monitoring of fluid status.

[0035] The fluid detection method provided in this application is applied to electronic devices in a vehicle, such as a transmission control unit (TCU) or other controllers. This application uses the application of the fluid detection method to a TCU as an example for illustration.

[0036] Figure 1 This is an illustrative flowchart of an oil detection method provided in an embodiment of this application.

[0037] For example, such as Figure 1 As shown, the detection method includes: Step 101: Detect the current oil flow rate corresponding to the target oil passage inside the target transmission.

[0038] Step 102: Calculate the first oil viscosity value based on the current oil flow rate.

[0039] Step 103: Based on the current operating parameters of the target transmission, determine the standard oil viscosity value and standard deviation value corresponding to the current operating parameters. The standard deviation value refers to the deviation between the standard oil viscosity value and the theoretical oil viscosity value corresponding to the current operating parameters. The standard oil viscosity value is obtained by direct measurement under standard experimental conditions, and the theoretical oil viscosity value is obtained by theoretical calculation under standard experimental conditions.

[0040] Step 104: Determine the fluid quality status of the target transmission based on the standard fluid viscosity value, standard deviation value, and first fluid viscosity value.

[0041] exist Figure 1 In the illustrated embodiment, by measuring the current oil flow rate and calculating the first oil viscosity value based on the current oil flow rate, the theoretical calculation of the key performance parameter, viscosity, is achieved. This transforms viscosity, an indicator that is difficult to measure directly on a real vehicle, into a method that can be calculated based on flow rate, overcoming the challenge of direct viscosity measurement within the space-constrained interior of a transmission. Based on the current operating parameters of the target transmission, the corresponding standard oil viscosity value and standard deviation value are determined, providing two dynamic benchmarks for oil quality testing: the standard oil viscosity value reflects the standard state that the oil should have under the current operating parameters, while the standard deviation value reflects the deviation between the standard oil viscosity value and the theoretical oil viscosity value under the current operating parameters. This allows the evaluation benchmark to adaptively adjust with the actual operating parameters of the transmission, improving the scientific rigor and accuracy of oil quality assessment. By comprehensively comparing and analyzing the standard oil viscosity value, standard deviation value, and first oil viscosity value, the system can track the change trend of oil viscosity in real time, objectively reflect the actual performance degradation, and thus provide vehicle owners or maintenance systems with accurate oil quality status. This facilitates the provision of accurate maintenance timing recommendations, avoids over-maintenance or under-maintenance problems that may occur based on fixed maintenance cycles, and improves the economy and safety of vehicle maintenance.

[0042] The following is about Figure 1 The specific implementation methods of each step in the illustrated embodiment are explained below: In step 101, the target transmission refers to the transmission installed in the vehicle for which fluid condition monitoring is required. The target oil passage refers to a specific oil passage within the transmission. To achieve accurate and reliable flow rate detection, the target oil passage must meet specific hydrodynamic conditions to facilitate modeling and analysis of its internal flow state.

[0043] To simplify the flow model and improve calculation accuracy, a target oil passage can be selected from all the oil passages inside the transmission that meets the following characteristics: Feature 1: It possesses a sufficiently long straight pipe section to ensure sufficient development of oil flow and the formation of a stable velocity profile. Optionally, to ensure sufficient development of oil flow and eliminate inlet section effects, the straight pipe section length (L) of the target oil passage can satisfy the following condition: L ≥ n × D, where D is the nominal inner diameter of the target oil passage, and n is a coefficient determined based on the flow state. For laminar or low Reynolds number flows commonly found in transmissions, n ≥ 20 is typically required, meaning the straight pipe section length is at least 20 times its inner diameter. For flows with higher Reynolds numbers, this coefficient needs to be increased accordingly.

[0044] Feature 2: Arranged as horizontally as possible to eliminate the influence of gravitational potential difference on the measured pressure. Optional, To minimize the interference of static pressure difference caused by gravity on the measured pressure difference, the angle θ between the theoretical axis of the target oil passage and the horizontal plane can be controlled within a certain range, such as |θ|≤3 degrees. This angle limitation ensures that the pressure difference caused by the weight of the oil is negligible relative to the driving pressure difference.

[0045] Feature 3: Smooth inner wall and uniform inner diameter ensure stable flow resistance coefficient and reduce flow uncertainty. Optionally, within the entire measurement section of the target oil passage, the deviation between its actual inner diameter and nominal inner diameter (D) should be controlled within ±0.5%D or ±0.1mm. The surface roughness of the inner wall of the target oil passage measurement section should not exceed 1.6μm to reduce random fluctuations in wall friction and ensure that the flow resistance coefficient depends primarily on the inner diameter and Reynolds number, rather than minor differences in surface condition.

[0046] Based on the three characteristics mentioned above, the target oil passage can be understood as a long, straight, horizontal passage with smooth inner walls and a uniform inner diameter within the target transmission. It is understood that the circulation of oil within the target transmission is primarily driven by the oil pump. When oil flows through an oil passage with known and stable structural parameters, its flow velocity has a definite physical relationship with the driving pressure difference, the passage geometry, and the oil's own viscosity. By fixing the passage size and the operating pressure difference, the flow velocity becomes a sensitive variable reflecting the oil viscosity. Therefore, monitoring the flow velocity within the target oil passage is crucial for indirectly obtaining the oil viscosity.

[0047] In some embodiments, a flow rate sensor is provided in the target oil passage, and the detection of the current oil flow rate corresponding to the target oil passage inside the target transmission includes: detecting the current oil flow rate corresponding to the target oil passage inside the target transmission through the flow rate sensor.

[0048] Specifically, a miniature flow rate sensor is integrated and installed on the wall of the selected target oil passage. This flow rate sensor can be a turbine flow sensor, ultrasonic flow sensor, or thermal mass flow sensor, among others. Common characteristics include small size, robust structure, and the ability to withstand the high temperatures, vibrations, and oil contamination environment inside the transmission. During transmission operation, oil continuously flows through this target oil passage. The flow rate sensor detects the oil velocity in real time, obtains the current oil velocity, and converts it into an electrical signal (current oil velocity signal). This signal is transmitted via wiring harness to the vehicle's controller, such as the TCU, for further processing.

[0049] In this embodiment, by integrating a flow rate sensor into the target oil passage, online and real-time monitoring of the actual oil flow state during the operation of the target transmission is achieved, providing accurate and reliable basic data input for subsequent viscosity calculation.

[0050] In step 102, the first oil viscosity value refers to a viscosity value calculated based on the current oil flow velocity detected in real time in the target oil passage, according to the principles of fluid mechanics. This first oil viscosity value is a key intermediate physical quantity that indirectly reflects the internal friction characteristics of the oil under the current flow state. The flow behavior of the oil in the target oil passage conforms to the Hagen-Poiseuille law, which clarifies the deterministic mathematical relationship between flow velocity, driving pressure difference, oil passage geometry, and fluid dynamic viscosity. Therefore, given the geometric parameters and pressure difference of the target oil passage, the dynamic viscosity of the fluid, i.e., the first oil viscosity value, can be calculated by measuring the current oil flow velocity.

[0051] For example, based on the current oil flow rate and the characteristic parameters of the target oil passage, the characteristic parameters of the target oil passage are calculated. The first oil viscosity value is obtained through theoretical calculation under actual vehicle operation scenarios. The theoretical calculation method refers to the calculation method based on the Hagen-Poiseuille law or the Poiseuille formula.

[0052] In some embodiments, the characteristic parameters of the target oil passage include: the length and radius of the target oil passage and the pressure difference between the two ends of the target oil passage; the above step 102 is implemented by: obtaining the length and radius of the target oil passage and the pressure difference between the two ends of the target oil passage; substituting the current oil flow rate, the length and radius of the target oil passage and the pressure difference between the two ends of the target oil passage into the Poisson's formula to calculate the first oil viscosity value.

[0053] The length L of the target oil passage refers to the effective axial length of the target oil passage selected as the measurement section. The radius r of the target oil passage refers to the inner diameter, i.e., the inner radius of the target oil passage. The pressure difference ΔP between the two ends of the target oil passage refers to the pressure difference between the inlet and outlet when the driving oil flows through the target oil passage. The pressure difference can be directly measured by installing miniature pressure sensors at both ends of the target oil passage. In this embodiment, the pressure difference is also called the driving pressure difference. The current oil flow rate Q is detected in step 101 above. For example, the Poiseuille formula can be expressed as the following formula 1: Formula 1 The target oil passage length L, radius r, pressure difference ΔP, and current oil flow velocity Q can be calculated by substituting them into Formula 1 above. , It can be directly used as the first oil viscosity value, that is, the first oil viscosity value is calculated by Poiseuille formula.

[0054] In some embodiments, to ensure the laminar flow conditions under which the Poiseuille formula applies, the size of the target oil passage and the Reynolds number Re under the operating condition must be within the laminar flow range (typically Re ≤ 2000). When Re ≤ 2000, the value calculated using the Poiseuille formula can be directly used. The first oil viscosity value is used. When Re > 2000, it indicates that inertial force dominates the flow, and the flow enters a turbulent state. At this time, the viscosity calculated by the above Poiseuille formula can be used. Corrections are made to account for the additional pressure drop caused by turbulence. These corrections can be made using empirical or semi-empirical friction factor formulas. For example, a turbulence correction factor based on the Reynolds number can be introduced, and this turbulence correction factor is compared with... The product of these factors is used as the first oil viscosity value. The turbulence correction factor is a factor greater than 1 and can be determined by a pre-calibrated lookup table or empirical formula. For example, the turbulence correction factor f can be expressed as follows: Formula 2: Formula 2 In this embodiment, the viscosity calculated based on the Poiseuille formula is corrected based on the Reynolds number (Re) when the flow enters turbulence, which helps to obtain a first oil viscosity value that is more consistent with the actual flow state.

[0055] In step 103, the TCU acquires the current operating parameters of the target transmission and determines the standard oil viscosity value and standard deviation value corresponding to the current operating parameters.

[0056] The current operating parameters of the target transmission refer to the real-time status parameters of the target transmission during operation, mainly including operating temperature and oil pump pressure. Operating temperature directly affects the basic viscosity of the oil, while oil pump pressure is related to the drive pressure difference and is key operating condition information affecting flow pattern and viscosity calculations.

[0057] The standard fluid viscosity, theoretical fluid viscosity, and standard deviation values ​​were all obtained in advance under standard experimental conditions. Under these conditions, a standard transmission of the same specifications as the target transmission was selected, and the fluid inside the standard transmission was either brand new or in good working order. The environmental parameters under standard experimental conditions are controllable, enabling stable and repeatable simulation of the standard transmission's operation under different parameters. This provides benchmark data that accurately reflects the true viscosity of the standard fluid under specific operating conditions, eliminating external interference and serving as a reference for subsequent real-vehicle fluid testing.

[0058] For example, the standard oil viscosity value is obtained through direct measurement under standard experimental conditions. Under standard experimental conditions, a viscosity testing device is used to directly measure the viscosity of a properly functioning oil in a standard transmission, and this measured viscosity value is the standard oil viscosity value. The standard deviation value refers to the deviation between the standard oil viscosity value and the theoretical oil viscosity value. The theoretical oil viscosity value is obtained through theoretical calculation under standard experimental conditions. By determining the standard oil viscosity value and standard deviation value corresponding to the current operating parameters, it is beneficial to accurately assess the quality status reflected by the first oil viscosity value.

[0059] In some embodiments, step 103 is implemented by including the following steps 1031 and 1032: Step 1031: Query the first correspondence based on the current operating parameters of the target transmission to obtain the standard oil viscosity value corresponding to the current operating parameters; wherein, the first correspondence describes the standard oil viscosity value under different operating parameters.

[0060] Specifically, the TCU can pre-store the aforementioned first correspondence, which is pre-calibrated through experiments and describes the standard oil viscosity values ​​corresponding to different operating parameters. After obtaining the current operating parameters of the target transmission, the TCU queries the pre-stored first correspondence for the standard oil viscosity value corresponding to the current operating parameters.

[0061] In some embodiments, the standard oil viscosity value for each operating parameter in the first correspondence is determined as follows: under standard experimental conditions, a standard transmission of the same specifications as the target transmission is selected, and the standard oil viscosity value of the standard transmission under the operating parameter is measured by a viscosity testing device.

[0062] Specifically, under controlled standard experimental conditions, a standard transmission with specifications identical to the target transmission was selected, and brand-new standard fluid was injected. To ensure the accuracy and consistency of the calibration benchmark, a fluid passage with the same geometric and flow characteristics as the aforementioned target fluid passage was selected from the standard transmission as the standard fluid passage. Specifically, a section of fluid passage that also meets the requirements of being long and straight, horizontal, with smooth inner walls and uniform inner diameter was selected as the standard fluid passage. This ensures that the standard fluid viscosity value and standard deviation value established during the experimental calibration stage are based on the same flow conditions and measurement principles as those used in actual vehicle testing, providing a reliable and consistent evaluation benchmark for fluid quality testing in actual vehicles.

[0063] Under the aforementioned controlled standard experimental environment, the standard transmission operates under various set operating parameters (such as operating temperature and oil pump pressure). The viscosity of the standard oil passage in the standard transmission is measured under various operating parameters using a viscosity testing device (such as a vibratory or capillary online viscometer), thus obtaining the standard oil viscosity value corresponding to different operating parameters.

[0064] For example, to obtain direct measurements of the viscosity of a standard transmission fluid under different operating parameters, i.e., the standard fluid viscosity value, the following experimental method can be used: In the external lubrication or hydraulic circulation lines of a standard transmission, a measuring line is branched off and connected in parallel with the main circulation line. Through proper line design and calibration, the oil temperature and shear history experienced in the measuring line are ensured to be consistent with the oil flowing through the main circuit of the standard oil passage, and the conversion relationships for parameters such as pressure and flow rate are clarified. This ensures that the oil measured in the measuring line accurately represents the oil state within the standard oil passage. A viscosity testing device is connected in series in this measuring line. During the experiment, the standard transmission is first run at a preset operating temperature and oil pump pressure for a sufficient period until the entire system reaches thermal and dynamic equilibrium. After the system stabilizes, the viscosity testing device, already in operation, continuously measures and records the oil viscosity, while simultaneously recording the corresponding operating parameters such as operating temperature and oil pump pressure. Under each stable operating condition, stable viscosity readings are collected over a continuous period, and their statistical average is used as the standard oil viscosity value corresponding to that set of operating parameters. Data obtained under multiple sets of different operating parameters are organized to establish a mapping table, i.e., the first correspondence, with operating parameters as input and standard oil viscosity value as output.

[0065] For example, the above first correspondence can be represented by Table 1 below: Table 1

[0066] Table 1 describes the correspondence between the combination of operating temperature and oil pump pressure and the standard oil viscosity value. For example, the standard oil viscosity value corresponding to the operating parameters of operating temperature 1 and oil pump pressure 1 is Th1, and the standard oil viscosity value corresponding to the operating parameters of operating temperature 3 and oil pump pressure 4 is Th12. The correspondence between other operating parameters and standard oil viscosity values ​​can be deduced in the same way. To avoid repetition, it will not be elaborated here.

[0067] It should be noted that Table 1 only lists a limited number of parameter combinations (e.g., 4 operating temperatures and 4 oil pump pressures) for ease of understanding. In actual calibration, to cover the complete operating range of the transmission and ensure query accuracy, measurements and calibrations can be performed at a wider and denser range of operating points, depending on actual needs. For example, the operating temperature can cover the actual operating temperature range of the transmission (e.g., -40 degrees to 130 degrees Celsius). The oil pump pressure can cover its actual operating pressure range (e.g., 200 kPa to 400 kPa). By selecting a sufficient number of temperature and pressure points within the actual operating temperature and pressure ranges of the transmission for combined calibration, a denser first correspondence of data points can be obtained. Furthermore, based on discrete calibration point data, reliable interpolation algorithms (such as bilinear interpolation or surface fitting) can be used to generate a continuous first correspondence, thereby enabling the rapid and accurate acquisition of the corresponding standard oil viscosity value for any combination of operating parameters within the range.

[0068] Understandably, the powertrain layout of mass-produced vehicles is extremely compact. The space around the transmission is strictly limited by components such as the engine, chassis, and frame, leaving almost no redundant space for installing a bypass system containing pipes, connectors, and a viscometer. Furthermore, high-precision viscosity testing devices are themselves precision instruments and expensive; installing them as standard equipment on every mass-produced vehicle would increase the cost per vehicle. The goal of a standard testing environment is to obtain the most accurate baseline data (including standard oil viscosity values ​​and standard deviation values). Its advantage lies in the ability to artificially create and maintain stable, controllable, and undisturbed measurement conditions. Therefore, it allows for direct and precise measurement methods under more ideal conditions and with fewer external constraints, without needing to compromise on the comprehensive constraints inherent in mass-produced vehicles.

[0069] In this embodiment, the difficulty of directly measuring viscosity on a real vehicle is bypassed by using an indirect measurement principle (converting viscosity from flow rate) and a pre-calibrated database of corresponding relationships under experimental conditions. A low-cost flow rate sensor replaces the expensive viscosity measurement device, and theoretical calculations and pre-calibrated standard oil viscosity values ​​and standard deviations are used to simulate the actual measurement results, replacing the fragile and complex bypass physical system. This achieves an economical and reliable oil condition monitoring function in mass-produced vehicles.

[0070] Step 1032: Query the second correspondence based on the current operating parameters of the target transmission to obtain the standard deviation value corresponding to the current operating parameters; wherein, the second correspondence describes the standard deviation value under different operating parameters.

[0071] Specifically, the TCU can pre-store the aforementioned second correspondence, which is pre-calibrated through experiments and describes the standard deviation values ​​corresponding to different operating parameters. After obtaining the current operating parameters of the target transmission, the TCU queries the pre-stored second correspondence for the standard deviation value corresponding to the current operating parameters.

[0072] In some embodiments, the standard deviation value for each operating parameter in the second correspondence is determined as follows: under a standard experimental environment, the standard oil flow rate corresponding to the standard oil passage in the standard transmission under the operating parameter is detected; based on the standard oil flow rate, the theoretical oil viscosity value of the standard transmission under the operating parameter is calculated; and the deviation between the standard oil viscosity value and the theoretical oil viscosity value of the standard transmission under the operating parameter is taken as the standard deviation value under the operating parameter.

[0073] Specifically, under the same standard experimental environment for establishing the first correspondence, the oil flow rate in the standard oil passage is detected by a flow rate sensor installed in the standard oil passage and taken as the standard oil flow rate. Subsequently, using the same calculation model as in step 102 (such as the Poiseuille formula and corresponding correction logic), the theoretical oil viscosity values ​​of the standard transmission under different operating parameters are calculated based on the standard oil flow rate and known characteristic parameters of the standard oil passage (length, radius, and pressure difference between the two ends of the standard oil passage, etc.). For each set of operating parameters, the standard oil viscosity value measured in step 1031 is compared and statistically analyzed with the theoretical oil viscosity value calculated theoretically. The difference between the standard oil viscosity value and the theoretical oil viscosity value is taken as the standard deviation value for that set of operating parameters. Thus, a second correspondence from operating parameters to standard deviation values ​​is established.

[0074] For example, the above second correspondence can be represented by the following Table 2: Table 2

[0075] Table 2 describes the correspondence between the combination of operating temperature and oil pump pressure and the standard deviation values. For example, the standard deviation value corresponding to the operating parameters of operating temperature 1 and oil pump pressure 1 is ΔTh1. Referring to Table 1 above, ΔTh1 = standard oil viscosity value Th1 - theoretical oil viscosity value 1. The theoretical oil viscosity value 1 is the theoretical oil viscosity value in the standard transmission obtained through theoretical calculation under the operating conditions of operating temperature 1 and oil pump pressure 1. The standard deviation value corresponding to the operating parameters of operating temperature 3 and oil pump pressure 4 is ΔTh12. Referring to Table 1 above, ΔTh12 = standard oil viscosity value Th12 - theoretical oil viscosity value 12. The theoretical oil viscosity value 12 is the theoretical oil viscosity value in the standard transmission obtained through theoretical calculation under the operating conditions of operating temperature 3 and oil pump pressure 4. The correspondence between other operating parameters and standard deviation values ​​can be deduced similarly, and will not be elaborated here to avoid repetition.

[0076] It should be noted that, similar to Table 1 above, Table 2 only lists a limited number of parameter combinations (e.g., 4 operating temperatures and 4 oil pump pressures) for ease of understanding. In actual calibration, to cover the complete operating range of the transmission and ensure query accuracy, measurements and calibrations can be performed at a wider and denser range of operating points, depending on actual needs. For example, the operating temperature can cover the actual operating temperature range of the transmission (e.g., -40 degrees to 130 degrees). The oil pump pressure can cover its actual operating pressure range (e.g., 200 kPa to 400 kPa). By selecting a sufficient number of temperature and pressure points within the actual operating temperature and pressure ranges of the transmission for combined calibration, a denser second correspondence can be obtained. Furthermore, based on discrete calibration point data, reliable interpolation algorithms (such as bilinear interpolation or surface fitting) can be used to generate a continuous second correspondence, thereby enabling the rapid and accurate acquisition of the corresponding standard deviation value for any combination of operating parameters within the range.

[0077] In this embodiment, by introducing pre-calibrated first and second correspondences, a dynamic evaluation benchmark matching the current parameters is provided for real-time monitoring of oil quality status. The standard oil viscosity value changes dynamically with the operating parameters, avoiding misjudgments that may occur when using a single fixed threshold. The standard deviation value also changes dynamically with the operating parameters, improving the accuracy of oil quality status judgment.

[0078] In step 104, the TCU determines the oil quality status of the target transmission based on the standard oil viscosity value, standard deviation value, and first oil viscosity value corresponding to the current operating parameters.

[0079] In some embodiments, a reference range consisting of the standard oil viscosity value ± standard deviation is compared with a first oil viscosity value. If the first oil viscosity value is within the reference range, it can be determined that the current oil quality is good and no oil change is required. If the first oil viscosity value is not within the reference range, it can be determined that the current oil quality has deteriorated and further maintenance or an oil change is needed.

[0080] For example, if the viscosity value of the first fluid consistently and stably falls within the aforementioned reference range within a certain observation period (e.g., several consecutive driving cycles or a period of cumulative mileage), the current fluid quality is considered good, its performance meets the requirements for continued use, and no maintenance or oil change is necessary. If the viscosity value of the first fluid consistently or repeatedly deviates from the aforementioned reference range, the fluid quality is considered abnormal.

[0081] In this embodiment, by continuously comparing and analyzing the real-time monitored first oil viscosity value with a dynamic, statistically based reference range, it is possible not only to accurately determine whether the oil has failed, but also to identify early signs of deterioration. This achieves a shift from maintenance based on fixed cycles to predictive maintenance based on actual conditions, effectively preventing failures caused by oil deterioration while avoiding over-maintenance, thus improving the economy and reliability of vehicle maintenance.

[0082] For example, a second oil viscosity value is determined based on a first oil viscosity value and a standard deviation value, and the oil quality status of the target transmission is determined based on the second oil viscosity value and a standard oil viscosity value.

[0083] In some embodiments, step 104 is implemented by: determining a second oil viscosity value based on a first oil viscosity value and a standard deviation value; determining the oil quality state of the target transmission as a first state if the absolute value of the deviation between the second oil viscosity value and the standard oil viscosity value is greater than a preset threshold; and determining the oil quality state of the target transmission as a second state if the absolute value of the deviation between the second oil viscosity value and the standard oil viscosity value is less than or equal to a preset threshold. The first state represents an oil quality lower than the second state represents an oil quality lower than the second state. The first state can be referred to as a deteriorated state, and the second state can be referred to as a good state.

[0084] Specifically, the TCU can correct the first oil viscosity value based on the standard deviation value to obtain a second oil viscosity value. This second oil viscosity value can be the sum of the standard deviation value and the first oil viscosity value.

[0085] Since the standard deviation value represents the deviation of the viscosity value obtained by direct measurement under standard experimental conditions and current operating parameters from the viscosity value obtained by theoretical calculation, and the first oil viscosity value is obtained by theoretical calculation on an actual vehicle, the sum of the standard deviation value and the first oil viscosity value can be understood as: assuming that the viscosity value can be obtained by measuring the viscosity of the oil under the current state parameters using a viscosity detection device, that is, the current true viscosity value.

[0086] The TCU calculates the absolute value of the deviation between the viscosity value of the second oil and the viscosity value of the standard oil. This absolute value is then compared to a preset threshold. This preset threshold, which can be pre-calibrated, is used to distinguish between normal fluctuations in oil quality and performance degradation. It is a critical value determined through simulation experiments to differentiate between acceptable and unacceptable oil quality states; for example, it might be calibrated to around 10%.

[0087] If the absolute value of the above deviation is greater than the preset threshold, it indicates that the second oil viscosity value has changed abnormally compared with its current standard oil viscosity value, the oil is in an unacceptable quality state, and the oil performance does not meet the requirements. Therefore, the oil quality state of the target transmission is determined to be the first state, i.e., the deteriorated state.

[0088] Furthermore, if the absolute value of the above deviation value continues to be greater than the preset threshold within a preset time period, the oil quality state of the target transmission can be determined as the first state. This indicates that the oil viscosity has continuously and stably exceeded the safety boundary, eliminating the possibility of instantaneous interference and improving the accuracy of the determined oil quality state.

[0089] Furthermore, if the target transmission fluid quality is in the first state, the user can be prompted to check, maintain, or replace the target transmission fluid.

[0090] If the absolute value of the above deviation is less than or equal to the preset threshold, it indicates that the second oil viscosity value, i.e. the current true viscosity value, has not changed abnormally compared with its current standard oil viscosity value. The oil is in an acceptable quality state and its performance meets the requirements. Therefore, the oil quality state of the target transmission is determined to be the second state, i.e., the good state.

[0091] Furthermore, if the absolute value of the above deviation value is continuously less than or equal to the preset threshold within a preset time period, the oil quality state of the target transmission can be determined to be the second state. This indicates that the oil viscosity has been continuously and stably lower than the safety boundary, eliminating the possibility of instantaneous interference and improving the accuracy of the determined oil quality state.

[0092] Furthermore, if the target transmission fluid quality condition is in the second state, there is no need to prompt the user to check, maintain, or replace the target transmission fluid.

[0093] The above embodiments correct the first oil viscosity value based on a known standard deviation value, which helps to obtain a reliable viscosity assessment value, namely the second oil viscosity value, for final state determination. By comparing the absolute value of the deviation between the second oil viscosity value and the standard oil viscosity value with a preset threshold, it is possible to clearly and accurately distinguish between the good and deteriorated states of the oil, providing technical support for achieving true on-demand oil maintenance.

[0094] Figure 2 This is an illustrative flow diagram of another oil detection method provided in the embodiments of this application.

[0095] For example, such as Figure 2 As shown, the detection method for this oil includes: Step 201: Detect the current oil flow rate corresponding to the target oil passage inside the target transmission.

[0096] Step 202: Calculate the first oil viscosity value based on the current oil flow rate.

[0097] Step 203: Obtain the operating temperature and oil pump pressure of the target transmission.

[0098] Step 204: Based on the working temperature and oil pump pressure, look up the first correspondence to obtain the standard oil viscosity value at that working temperature and oil pump pressure.

[0099] Step 205: Based on the working temperature and oil pump pressure, look up the second correspondence to obtain the standard deviation value at that working temperature and oil pump pressure.

[0100] Step 206: Determine the second oil viscosity value based on the first oil viscosity value and the standard deviation value.

[0101] Step 207: If the absolute value of the deviation between the second oil viscosity value and the standard oil viscosity value is greater than a preset threshold, the oil quality condition of the target transmission is determined to be deteriorated.

[0102] Step 208: If the absolute value of the deviation between the second oil viscosity value and the standard oil viscosity value is less than or equal to a preset threshold, the oil quality status of the target transmission is determined to be good.

[0103] Step 209: Output a prompt message to remind the user that the fluid in the target transmission needs to be checked, maintained, or replaced.

[0104] In summary, the technical solution of this application, by acquiring the current oil flow rate in real time through a flow rate sensor installed on the target oil passage and calculating the first oil viscosity value according to the Poiseuille formula, successfully transforms the viscosity parameter, which is difficult to measure directly online, into a flow rate signal that can be reliably acquired through miniaturized sensors for indirect monitoring, thus solving the problem of integrating a viscosity detection device inside the transmission. By introducing a first and second correspondence based on experimental calibration, a standard oil viscosity value and standard deviation value dynamically matched to the operating conditions are provided for the evaluation process, giving the state judgment an objective and quantitative scientific basis.

[0105] This embodiment's real-time monitoring capability of oil viscosity enables it to detect abnormal viscosity change trends caused by different failure mechanisms. For example, when the water content of the transmission oil abnormally increases due to water immersion, the viscosity characteristics will change systematically; when the oil undergoes base oil molecular chain breakage or oxidation due to prolonged high temperature or shearing, the viscosity will also exhibit characteristic deviations. By comparing the viscosity value of the treated second oil with the viscosity value of the standard oil, such early signs of degradation can be identified promptly and reliably, and warnings can be issued, thereby helping to avoid serious mechanical damage caused by the accumulation of oil failure.

[0106] Because this embodiment can assess the actual quality of the transmission fluid in real time, it breaks the limitations of fixed maintenance cycles. For most vehicles operating under relatively stable conditions, when the fluid quality is determined to be good, the oil change interval can be reasonably extended, avoiding unnecessary maintenance and saving user costs. Conversely, for vehicles frequently operating under harsh conditions such as high loads, maintenance needs can be indicated in advance based on measured data. This achieves a precise match between maintenance decisions and actual fluid consumption. It provides decision support based on objective condition monitoring for transmission fluid maintenance, effectively compensating for the shortcomings of traditional fixed-cycle maintenance methods.

[0107] Figure 3 This is a schematic diagram of the structure of an oil detection device provided in an embodiment of this application.

[0108] For example, such as Figure 3 As shown, the oil detection device 300 includes: Detection module 301 is used to detect the current oil flow rate corresponding to the target oil passage inside the target transmission; Calculation module 302 is used to calculate the first oil viscosity value based on the current oil flow rate; The first determining module 303 is used to determine the standard oil viscosity value and standard deviation value corresponding to the current operating parameters of the target transmission based on the current operating parameters of the target transmission. The second determining module 304 is used to determine the oil quality status of the target transmission based on the standard oil viscosity value, the standard deviation value, and the first oil viscosity value.

[0109] In some embodiments, the first determining module is specifically used to: query a first correspondence relationship based on the current operating parameters of the target transmission to obtain the standard oil viscosity value corresponding to the current operating parameters; wherein the first correspondence relationship describes the standard oil viscosity value under different operating parameters; and query a second correspondence relationship based on the current operating parameters of the target transmission to obtain the standard deviation value corresponding to the current operating parameters; wherein the second correspondence relationship describes the standard deviation value under different operating parameters.

[0110] In some embodiments, the oil detection device further includes a third determining module, wherein the standard oil viscosity value under each working parameter in the first correspondence is determined by the third determining module, and the third determining module is used to select a standard transmission of the same specifications as the target transmission under a standard experimental environment, and measure the standard oil viscosity value of the standard transmission under the working parameters by a viscosity testing device.

[0111] In some embodiments, the oil detection device further includes: a fourth determining module, wherein the standard deviation value under each working parameter in the second correspondence is determined by the fourth determining module, the fourth determining module being used to detect the standard oil flow rate corresponding to the working parameters in the standard oil passage of the standard transmission under a standard experimental environment; calculate the theoretical oil viscosity value of the standard transmission under the working parameters based on the standard oil flow rate; and take the deviation value between the standard oil viscosity value and the theoretical oil viscosity value of the standard transmission under the working parameters as the standard deviation value under the working parameters.

[0112] In some embodiments, the second determining module is specifically configured to determine a second oil viscosity value based on a first oil viscosity value and a standard deviation value; if the absolute value of the deviation between the second oil viscosity value and the standard oil viscosity value is greater than a preset threshold, determine the oil quality state of the target transmission as a first state; if the absolute value of the deviation between the second oil viscosity value and the standard oil viscosity value is less than or equal to a preset threshold, determine the oil quality state of the target transmission as a second state; wherein the oil quality represented by the first state is lower than the oil quality represented by the second state.

[0113] In some embodiments, the calculation module is specifically used to obtain the length and radius of the target oil passage and the pressure difference between the two ends of the target oil passage; and to calculate the first oil viscosity value by substituting the current oil flow rate, the length and radius of the target oil passage and the pressure difference between the two ends of the target oil passage into the Poiseuille formula.

[0114] In some embodiments, a flow rate sensor and a detection module are provided in the target oil passage, specifically used to detect the current oil flow rate corresponding to the target oil passage inside the target transmission through the flow rate sensor.

[0115] Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application.

[0116] For example, such as Figure 4 As shown, the electronic device 400 includes a memory 401 and a processor 402. The memory 401 stores executable program code 4011, and the processor 402 is used to call and execute the executable program code 4011 to perform an oil detection method.

[0117] Furthermore, this application also protects an apparatus that may include a memory and a processor, wherein the memory stores executable program code, and the processor is used to call and execute the executable program code to perform an oil detection method provided in this application.

[0118] This embodiment can divide the device into functional modules based on the above method example. For example, each module can correspond to a separate function, or two or more functions can be integrated into one processing module. The integrated module can be implemented in hardware. It should be noted that the module division in this embodiment is illustrative and only represents one logical functional division. In actual implementation, there may be other division methods.

[0119] When the functional modules are divided according to their respective functions, the device may also include a detection module, a calculation module, a first determination module, a second determination module, etc. It should be noted that all relevant content regarding the steps involved in the above method embodiments can be referenced to the functional descriptions of the corresponding functional modules, and will not be repeated here.

[0120] It should be understood that the device provided in this embodiment is used to perform the above-described method for detecting oil, and therefore can achieve the same effect as the above-described method.

[0121] When using an integrated unit, the device may include a processing module and a storage module. When the device is applied to a vehicle, the processing module can be used to control and manage the vehicle's movements. The storage module can be used to support the vehicle in executing relevant program code.

[0122] The processing module may be a processor or a controller, which can implement or execute various exemplary logic blocks, modules, and circuits shown in conjunction with the disclosure of this application. The processor may also be a combination of functions that implement computing capabilities, such as a combination of one or more microprocessors, a combination of digital signal processing (DSP) and a microprocessor, etc., and the storage module may be a memory.

[0123] In addition, the device provided in the embodiments of this application may specifically be a chip, component or module. The chip may include a connected processor and a memory. The memory is used to store instructions. When the processor calls and executes the instructions, the chip can execute the oil detection method provided in the above embodiments.

[0124] This embodiment also provides a vehicle, the vehicle including as follows: Figure 4 The electronic device shown.

[0125] This embodiment also provides a non-volatile storage medium storing computer program code. When the computer program code is run on a computer, the computer executes the above-described related method steps to implement the oil detection method provided in the above embodiment.

[0126] This embodiment also provides a computer program product. When the computer program product is run on a computer, it causes the computer to perform the above-mentioned related steps to realize the oil detection method provided in the above embodiment.

[0127] In this embodiment, the device, non-volatile storage medium, computer program product or chip are all used to execute the corresponding method provided above. Therefore, the beneficial effects that can be achieved can be referred to the beneficial effects of the corresponding method provided above, and will not be repeated here.

[0128] Through the above description of the embodiments, those skilled in the art will understand that, for the sake of convenience and brevity, only the division of the above functional modules is used as an example. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above.

[0129] In the embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another device, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0130] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for detecting oil, characterized in that, The method includes: Detect the current oil flow rate corresponding to the target oil passage inside the target transmission; Calculate the first oil viscosity value based on the current oil flow rate; Based on the current operating parameters of the target transmission, determine the standard oil viscosity value and standard deviation value corresponding to the current operating parameters. The standard deviation value refers to the deviation between the standard oil viscosity value and the theoretical oil viscosity value corresponding to the current operating parameters. The standard oil viscosity value is obtained by direct measurement under standard experimental conditions, and the theoretical oil viscosity value is obtained by theoretical calculation under the standard experimental conditions. The fluid quality status of the target transmission is determined based on the standard fluid viscosity value, the standard deviation value, and the first fluid viscosity value.

2. The method according to claim 1, characterized in that, The step of determining the standard oil viscosity value and standard deviation value corresponding to the current operating parameters of the target transmission, based on the current operating parameters of the target transmission, includes: The first correspondence is queried based on the current operating parameters of the target transmission to obtain the standard oil viscosity value corresponding to the current operating parameters; wherein, the first correspondence describes the standard oil viscosity value under different operating parameters; The standard deviation value corresponding to the current operating parameters is obtained by querying the second correspondence based on the current operating parameters of the target transmission; wherein, the second correspondence describes the standard deviation value under different operating parameters.

3. The method according to claim 2, characterized in that, The standard oil viscosity value for each of the operating parameters in the first correspondence is determined as follows: Under the standard experimental conditions, a standard transmission of the same specifications as the target transmission was selected, and the standard oil viscosity value of the standard transmission under the operating parameters was measured by a viscosity testing device.

4. The method according to claim 3, characterized in that, The standard deviation value for each working parameter in the second correspondence is determined as follows: Under the standard experimental environment, the standard oil flow rate corresponding to the standard oil passage in the standard transmission under the operating parameters was detected. Calculate the theoretical oil viscosity value of the standard transmission under the stated operating parameters based on the stated standard oil flow rate; The deviation between the standard oil viscosity value and the theoretical oil viscosity value of the standard transmission under the operating parameters is taken as the standard deviation value under the operating parameters.

5. The method according to claim 1, characterized in that, Determining the fluid quality state of the target transmission based on the standard fluid viscosity value, the standard deviation value, and the first fluid viscosity value includes: The second oil viscosity value is determined based on the first oil viscosity value and the standard deviation value. If the absolute value of the deviation between the second oil viscosity value and the standard oil viscosity value is greater than a preset threshold, the oil quality state of the target transmission is determined to be the first state. If the absolute value of the deviation between the second oil viscosity value and the standard oil viscosity value is less than or equal to the preset threshold, the oil quality state of the target transmission is determined to be the second state. Wherein, the oil mass represented by the first state is lower than the oil mass represented by the second state.

6. The method according to claim 1, characterized in that, The step of calculating the first oil viscosity value based on the current oil flow rate includes: Obtain the length and radius of the target oil passage, as well as the pressure difference between the two ends of the target oil passage; The first oil viscosity value is calculated by substituting the current oil flow rate, the length and radius of the target oil passage, and the pressure difference between the two ends of the target oil passage into Poiseuille's formula.

7. The method according to any one of claims 1 to 6, characterized in that, A flow rate sensor is installed inside the target oil passage. Detecting the current oil flow rate corresponding to the target oil passage inside the target transmission includes: The flow rate sensor detects the current oil flow rate corresponding to the target oil passage inside the target transmission.

8. An electronic device, characterized in that, The electronic device includes: Memory, used to store executable program code; A processor for calling and running the executable program code from the memory, causing the electronic device to perform the method as described in any one of claims 1 to 7.

9. A vehicle, characterized in that, The vehicle includes: the electronic device as described in claim 8.

10. A non-volatile storage medium, characterized in that, The non-volatile storage medium stores a computer program that, when executed, implements the method as described in any one of claims 1 to 7.

Images