Method and system for prioritizing fault diagnosis of electronic oil pump
By classifying and weighting of electronic oil pump faults, calculating the fault impact factor and determining priority, the problem of low reliability of fault diagnosis in the existing technology is solved, and more efficient fault detection and diagnosis is achieved.
Patent Information
- Application Number
- CN202210135939.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-02-15
- Publication Date
- 2025-05-16
- Estimated Expiration
- 2042-02-15
AI Technical Summary
The lack of detection sequence of electronic oil pump faults in the prior art, resulting in low reliability of fault diagnosis.
By dividing all basic fault performance of electronic oil pumps into multiple fault levels, each fault level corresponds to different fault weights and fault coefficients, the fault impact factor of each fault to be diagnosed, and the fault priority is determined based on the fault impact factor.
It realizes reasonable priority classification for electronic oil pump faults, and improves the reliability and efficiency of fault diagnosis.
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Figure CN114493334B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of electronic oil pump motor control for automobiles, and in particular to a method and system for prioritizing fault diagnosis of an electronic oil pump. Background Art
[0002] Automobile electronic oil pumps may encounter faults in actual operation. The main fault types include electronic oil pump stall fault, electronic oil pump overvoltage fault, electronic oil pump overcurrent fault, electronic oil pump undervoltage fault, electronic oil pump motor phase failure, electronic oil pump ambient temperature overtemperature fault, electronic oil pump system internal short circuit fault, etc. In the control program, interrupt programs are usually used to detect faults. Due to the characteristics of the controller chip itself, when processing the interrupt program, it is necessary to detect faults in sequence. Therefore, it is necessary to set the fault priority, first detect the faults with higher priority, and then detect the low priority faults after ensuring that the high priority fault detection passes.
[0003] In the prior art, there are few control strategies that explain and analyze the strategy for determining the priority of electronic oil pump faults. That is, when faced with electronic oil pump jam fault, electronic oil pump overpressure fault, electronic oil pump overcurrent fault, electronic oil pump undervoltage fault, electronic oil pump motor phase loss fault, electronic oil pump ambient temperature overtemperature fault, and electronic oil pump system internal short circuit fault, the prior art does not have a detection order for these faults, resulting in low reliability of fault diagnosis. Summary of the invention
[0004] In view of this, an object of the present invention is to provide a method and system for prioritizing fault diagnosis of an electronic oil pump, so as to alleviate the technical problem of low reliability due to the lack of fault detection priority order in the prior art.
[0005] In a first aspect, an embodiment of the present invention provides a method for prioritizing fault diagnosis of an electronic oil pump, comprising: dividing all basic fault manifestations of an electronic oil pump into multiple fault levels, each fault level corresponding to a different fault weight; determining a fault coefficient corresponding to each fault manifestation based on the degree of influence of each basic fault manifestation on the system of the electronic oil pump; determining a basic fault manifestation corresponding to each fault to be diagnosed among multiple faults to be diagnosed; wherein one fault to be diagnosed corresponds to at least one basic fault manifestation; calculating a fault influence factor of each fault to be diagnosed based on the fault weight and fault coefficient corresponding to each basic fault manifestation; and determining priority information of each fault to be diagnosed among the multiple faults to be diagnosed based on the fault influence factor.
[0006] Furthermore, all basic fault manifestations of the electronic oil pump are divided into multiple fault levels, including: dividing all basic fault manifestations of the electronic oil pump into: a first fault level, a second fault level and a third fault level; wherein the basic fault manifestation corresponding to the first fault level is a macro-overall fault of the electronic oil pump; the basic fault manifestation corresponding to the second fault level is a first subdivision fault after subdividing the macro-overall fault; the basic fault manifestation corresponding to the third fault level is a second subdivision fault after further subdividing the first subdivision fault.
[0007] Furthermore, based on the fault weight and fault coefficient corresponding to each basic fault manifestation, the fault influence factor of each fault to be diagnosed is calculated, including: weighted summing the fault coefficients of the basic fault manifestations corresponding to each fault to be diagnosed according to the corresponding fault weights to obtain the fault influence factor of each fault to be diagnosed.
[0008] Further, after determining the priority information of each of the multiple faults to be diagnosed, the method further includes: diagnosing the multiple faults to be diagnosed in descending order of the priority information of each fault to be diagnosed.
[0009] In the second aspect, an embodiment of the present invention also provides an electronic oil pump fault diagnosis priority division system, comprising: a division module, a first determination module, a second determination module, a calculation module and a third determination module; wherein the division module is used to divide all basic fault manifestations of the electronic oil pump into multiple fault levels, each fault level corresponding to a different fault weight; the first determination module is used to determine the fault coefficient corresponding to each fault manifestation based on the degree of influence of each basic fault manifestation on the system of the electronic oil pump; the second determination module is used to determine the basic fault manifestation corresponding to each fault to be diagnosed among multiple faults to be diagnosed; wherein one fault to be diagnosed corresponds to at least one basic fault manifestation; the calculation module is used to calculate the fault influence factor of each fault to be diagnosed based on the fault weight and fault coefficient corresponding to each basic fault manifestation; the third determination module is used to determine the priority information of each fault to be diagnosed among the multiple faults to be diagnosed based on the fault influence factor.
[0010] Furthermore, the classification module is also used to: classify all basic fault manifestations of the electronic oil pump into: a first fault level, a second fault level and a third fault level; wherein the basic fault manifestation corresponding to the first fault level is a macro-overall fault of the electronic oil pump; the basic fault manifestation corresponding to the second fault level is a first subdivision fault after subdividing the macro-overall fault; and the basic fault manifestation corresponding to the third fault level is a second subdivision fault after further subdividing the first subdivision fault.
[0011] Furthermore, the calculation module is also used to: perform weighted summation of the fault coefficients of the basic fault manifestations corresponding to each fault to be diagnosed according to the corresponding fault weights, so as to obtain the fault influence factor of each fault to be diagnosed.
[0012] Furthermore, the system further comprises: a fault diagnosis module, configured to diagnose the multiple faults to be diagnosed in descending order of priority information of each fault to be diagnosed.
[0013] In a third aspect, an embodiment of the present invention further provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method described in the first aspect when executing the computer program.
[0014] In a fourth aspect, an embodiment of the present invention further provides a computer-readable medium having a non-volatile program code executable by a processor, wherein the program code enables the processor to execute the method described in the first aspect.
[0015] The present invention provides a method and system for prioritizing fault diagnosis of an electronic oil pump. By classifying all basic fault manifestations of an electronic oil pump and assigning different fault weights and fault coefficients, a fault influence factor can be calculated for each fault to be diagnosed, and finally the faults to be diagnosed can be prioritized based on the fault influence factors, thereby alleviating the technical problem of low reliability in the prior art due to the lack of fault detection priority division. BRIEF DESCRIPTION OF THE DRAWINGS
[0016] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.
[0017] Figure 1 A flowchart of a method for prioritizing electronic oil pump fault diagnosis provided by an embodiment of the present invention;
[0018] Figure 2 A schematic diagram of electronic oil pump fault classification provided by an embodiment of the present invention;
[0019] Figure 3 A schematic diagram of an electronic oil pump fault diagnosis priority classification system provided by an embodiment of the present invention;
[0020] Figure 4A schematic diagram of another electronic oil pump fault diagnosis priority classification system provided by an embodiment of the present invention. DETAILED DESCRIPTION
[0021] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments 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 creative work are within the scope of protection of the present invention.
[0022] Embodiment 1:
[0023] Figure 1 FIG. 1 is a flow chart of a method for prioritizing electronic oil pump fault diagnosis according to an embodiment of the present invention. Figure 1 As shown, the method specifically comprises the following steps:
[0024] Step S102: classify all basic fault manifestations of the electronic oil pump into multiple fault levels, each fault level corresponding to a different fault weight.
[0025] Step S104 : determining a fault coefficient corresponding to each basic fault manifestation based on the degree of influence of each basic fault manifestation on the system of the electronic oil pump.
[0026] Step S106, determining a basic fault manifestation corresponding to each of the multiple faults to be diagnosed; wherein one fault to be diagnosed corresponds to at least one basic fault manifestation.
[0027] Step S108, calculating the fault impact factor of each to-be-diagnosed fault based on the fault weight and fault coefficient corresponding to each basic fault manifestation.
[0028] Optionally, the fault coefficients of the basic fault manifestations corresponding to each fault to be diagnosed are weighted and summed according to the corresponding fault weights to obtain the fault influence factor of each fault to be diagnosed.
[0029] Step S110 : determining priority information of each of the multiple faults to be diagnosed based on the fault impact factor.
[0030] The present invention provides a method for prioritizing fault diagnosis of an electronic oil pump. By classifying all basic fault manifestations of an electronic oil pump and assigning different fault weights and fault coefficients, a fault influence factor can be calculated for each fault to be diagnosed, and finally the faults to be diagnosed can be prioritized based on the fault influence factors, thereby alleviating the technical problem of low reliability in the prior art due to the lack of fault detection priority division.
[0031] Optionally, in an embodiment of the present invention, all basic fault manifestations of the electronic oil pump are divided into three fault levels, specifically including: a first fault level, a second fault level and a third fault level; wherein:
[0032] The basic fault corresponding to the first fault level is manifested as a macroscopic overall fault of the electronic oil pump;
[0033] The basic fault corresponding to the second fault level is manifested as the first subdivided fault after subdividing the macro overall fault;
[0034] The basic fault corresponding to the third fault level is manifested as a second subdivision fault after the first subdivision fault is further subdivided.
[0035] Figure 2 FIG. 1 is a schematic diagram of electronic oil pump fault classification according to an embodiment of the present invention. Figure 2 As shown, before formulating a fault priority classification strategy, basic fault classification must be carried out first. The basic fault manifestations are divided into three major levels, which are divided into the first fault level T1, the second fault level T2 and the third fault level T3 from major categories to subdivided levels.
[0036] Specifically, the T1 level is a macroscopic overall fault type, including: controller hardware damage, ADC sampling abnormality, and electronic oil pump speed abnormality, which correspond to controller fault, sensor fault, and electronic oil pump output fault, respectively. In the embodiment of the present invention, the T1 level macroscopic overall fault is a fault that can be perceived at a macroscopic level.
[0037] Then, the three major fault categories belonging to the first fault level are assigned fault coefficients according to the degree of impact on the oil pump operation. The most influential fault is the controller hardware damage fault, with a fault coefficient of 3; the second is the ADC sampling abnormality, with a fault coefficient of 2; the relatively least influential is the electronic oil pump output speed abnormality, with a fault coefficient of 1. Figure 2 As shown, in the embodiment of the present invention, according to the degree of influence of the macroscopic overall fault of level T1 on the operation of the electronic oil pump, labels N1, N2 and N3 are respectively assigned to controller hardware damage, ADC sampling abnormality and electronic oil pump speed abnormality.
[0038] Next is the T2 level fault, which is the first subdivision fault under the macro overall fault. Figure 2As shown in the figure, the controller hardware damage is subdivided into three categories: power module damage, three-phase inverter module damage, and main chip module damage. The power module is a peripheral circuit module of the controller. Because of the clamping protection and anti-reverse protection, when the power module fails, the impact on other modules of the controller is small, so the failure coefficient of this fault is 1; for the three-phase inverter module damage failure, this module is an important module of the motor controller and a core component of the drive motor. The damage of this module will cause irreversible, difficult to repair, and difficult to detect failures in the motor controller, so the failure coefficient of this fault is 2; for the main chip module damage failure, because the main chip is the core of the electronic oil pump controller and the main chip is the most expensive component in the controller, the damage of the main chip means the failure of the controller, so the failure coefficient of this fault is set to 1.
[0039] like Figure 2 As shown in the figure, under the power module damage fault, there are two second subdivision faults, one is the voltage clamping element damage, and the other is the anti-reverse connection MOSFET damage. Because the voltage clamping element is the core protection part of the power module, it plays a clamping protection role for the power anti-reverse connection MOSFET in the circuit through the clamping diode and the clamping capacitor to prevent it from being damaged under system overvoltage conditions, so the fault coefficient of the second subdivision fault is set to 1. In the case of damage to the clamping diode and the capacitor, if the MOSFET of the power module fails, the power circuit loses its basic protection function, so the power MOSFET fault coefficient is set to 2.
[0040] like Figure 2 As shown, under the fault of the three-phase inverter module, there are two second subdivision faults, one of which is the breakdown of the circuit protection capacitor. In the three-phase inverter bridge, multiple protection capacitors are usually provided. These capacitors play a protective role such as absorbing spikes and preventing overshoot. They protect the circuit through their own circuit breaking characteristics. After their own failure, they can break the circuit and protect other components of the three-phase inverter. Therefore, the fault coefficient of the second subdivision fault is set to 1. MOSFET (metal oxide semiconductor field effect transistor) is the core component of the three-phase inverter module of the electronic oil pump. It is the electrical signal receiving hardware after SVPWM modulation in the FOC algorithm and plays the role of driving the motor. If the power element MOSFET in the three-phase inverter is damaged, it will cause great damage to the controller, making the controller unable to drive the motor and causing the controller to fail. Therefore, the fault coefficient of the second subdivision fault is set to 2.
[0041] like Figure 2As shown in the figure, under the fault of main chip module damage, there are two second subdivision faults, one is the damage of the protection capacitor of the main chip power input circuit, and the other is the damage of the main chip. The main chip damage is mainly caused by the input fault. Capacitors are usually set in the circuit for protection, so the fault coefficient of capacitor failure is set to 1. If the protection element cannot protect the main chip, the main chip will be damaged, causing the controller to fail, and the fault coefficient of this fault is set to 2.
[0042] like Figure 2 As shown in Figure 1, level N2 is an abnormal ADC sampling fault, and the circuit samples the key current of the circuit through the ADC module of the chip. Figure 2 As shown in the figure, after the ADC sampling anomaly is subdivided, three first subdivision faults are obtained: LIN_ADC, temperature ADC, and phase current sampling ADC. Phase current sampling is the core part of the motor FOC current loop, so the fault coefficient is set to 3; temperature ADC is the temperature sensor signal, which can reflect the ambient temperature, so the fault coefficient is set to 2; LIN_ADC is the communication module current sampling, and its fault has the least impact on the system, so the fault coefficient is set to 1. Among these three current sampling faults, a second subdivision fault is further set. If the overcurrent is within 10%, the fault coefficient is set to 1; if the overcurrent is between 10% and 30%, the fault coefficient is set to 2; if the overcurrent is above 30%, the fault coefficient is set to 3.
[0043] like Figure 2 As shown, the N3 level is the abnormal speed of the electronic oil pump. Because the electronic oil pump adopts speed control, the speed output is a more important reference quantity. According to the type of speed abnormality, it is subdivided into three types of first-level faults: speed vibration, electronic oil pump stall, and electronic oil pump shutdown. Among them, the most serious shutdown is set to a fault coefficient of 3, the second most serious is set to a fault coefficient of 2, and the smallest impact of vibration is set to a fault coefficient of 1.
[0044] Then, the three first subdivided faults are further subdivided according to the fault magnitude to obtain the second subdivided faults, and the corresponding fault coefficients are assigned according to the magnitude of the impact on the operation of the electronic oil pump. Specifically, Figure 2 As shown in the figure, for speed chattering fault, if the chattering is less than 10%, the fault coefficient is set to 1; if it is between 10%-30%, the fault coefficient is set to 2; if it is above 30%, the fault coefficient is set to 3. For stalling fault, if the stall is within 20%, the fault coefficient is set to 1; if the stall is between 20%-50%, the fault coefficient is set to 2; if the stall is above 50%, the fault coefficient is set to 3; for system shutdown, the fault coefficient is directly set to 3.
[0045] From the above description, it can be seen that the embodiments of the present invention are as follows Figure 2The fault manifestations are subdivided according to the controller, current and speed performance of the electronic oil pump. For each fault, it is graded according to its impact on the system. The conventional faults to be diagnosed of the electronic oil pump include electronic oil pump stall fault, electronic oil pump overvoltage fault, electronic oil pump overcurrent fault, electronic oil pump undervoltage fault, electronic oil pump motor phase failure fault, electronic oil pump ambient temperature overtemperature fault, and electronic oil pump system internal short circuit fault. Each fault can correspond to one or more fault manifestations of N1, N2, and N3. The fault impact factor N is set, N = N1 + N2 + N3. By comparing the N values under different fault conditions, the priority ranking of the faults to be diagnosed is determined, and the faults that have a greater impact on the system are diagnosed first.
[0046] Optionally, the fault weight corresponding to each fault level is set as follows: T1 level is 10; T2 level is 5; T3 level is 1. According to the above scoring criteria, the fault coefficients are weighted and summed based on the fault weights to calculate the fault impact factor under the characteristic fault, sort the fault impact factors and determine the fault priority.
[0047] For Figure 2 As shown in the schematic diagram of electronic oil pump fault classification, for example, when the electronic oil pump is blocked, the blockage will increase the load of the three-phase inverter bridge and damage the MOSFET, so N1=2*1+2*5+3*10=42; the blockage will cause the system ADC sampling to be abnormal, which will mainly affect the phase current sampling. The blockage will cause the phase current to increase. For example, the phase current increase level is 25% under the blockage condition, and the corresponding fault coefficient is 2, so N2=2*1+3*5+2*10=37; in addition, the electronic oil pump speed will be abnormal, and the blockage will cause the electronic oil pump to stop, so N3=3+3*5+1*10=28; after calculation, it can be obtained that the fault influencing factor when the electronic oil pump is blocked is: N=N1+N2+N3=42+37+28=107.
[0048] For example, when an internal short circuit occurs in the electronic oil pump, the electronic oil pump control will be damaged under this fault condition, because in the electronic oil pump system of the embodiment of the present invention, the internal short circuit of the system will damage the main chip, so N1=2*1+3*5+3*10=47; in addition, the ADC sampling of the electronic oil pump will also be abnormal, and the phase current sampling of the electronic oil pump in the embodiment of the present invention exceeds 30% of the normal value, so N2=3*1+3*5+2*10=38; and the electronic oil pump will interrupt the power and shut down, so N3=3+3*5+1*10=28; after calculation, it can be obtained that the fault impact factor of the electronic oil pump when an internal short circuit occurs in the system is: N=N1+N2+N3=47+38+28=113, which is the highest priority fault.
[0049] For example, in the case of a motor phase failure, in the electronic oil pump system of the embodiment of the present invention, removing one phase of the motor will only cause the motor speed to vibrate, and the vibration amplitude is 30%. The fault impact factor can be calculated as: N = N3 = 3*1 + 1*5 + 1*10 = 18, which is the lowest priority fault of this system. For a system overcurrent fault, N1 = 1 + 2*5 + 3*10 = 41, N2 = 3 + 3*5 + 2*10 = 38, N3 = 3 + 5 + 10 = 18, so the fault impact factor N = 97; the fault impact factor of the system overtemperature is 98, the fault impact factor of the system overvoltage is 54, N1 = 1 + 5 + 30 = 36, N2 = 0, N3 = 3 + 5 + 10 = 18, the fault impact factor of the system undervoltage is 23, and the impact factor of the LIN BUS line short circuit is 28.
[0050] According to the above priority evaluation strategy, the electronic oil pump fault priority in the embodiment of the present invention can be obtained as follows: 1. System internal short circuit; 2. System stall; 3. System overtemperature; 4. System overcurrent; 5. System overvoltage; 6. LIN BUS line short circuit; 7. System undervoltage; 8. Motor phase loss. The method provided by the embodiment of the present invention is widely applicable to electronic oil pump systems and has high compatibility.
[0051] Optionally, the method provided by the embodiment of the present invention, after determining the priority information of each of the multiple faults to be diagnosed, further comprises: diagnosing the multiple faults to be diagnosed in descending order of the priority information of each fault to be diagnosed.
[0052] From the above description, it can be seen that the embodiment of the present invention provides a method for prioritizing electronic oil pump fault diagnosis, formulates a strategy for prioritizing electronic oil pump fault diagnosis, and realizes the division of fault diagnosis priorities among the required fault types for various electronic oil pump fault diagnosis needs. According to the test method and process in the embodiment of the present invention, an assessment is made on the possible consequences of the fault on the electronic oil pump system, and the system is graded according to the final evaluation score to obtain the electronic oil pump fault diagnosis priority after test optimization. This allows for more reasonable fault detection, priority given to the diagnosis of important faults, and protection of the safe operation of the electronic oil pump system.
[0053] Embodiment 2:
[0054] Figure 3 FIG. 1 is a schematic diagram of an electronic oil pump fault diagnosis priority classification system provided according to an embodiment of the present invention. Figure 3 As shown, the system includes: a division module 10 , a first determination module 20 , a second determination module 30 , a calculation module 40 and a third determination module 50 .
[0055] Specifically, the classification module 10 is used to classify all basic fault manifestations of the electronic oil pump into multiple fault levels, each fault level corresponding to a different fault weight.
[0056] The first determination module 20 is configured to determine a fault coefficient corresponding to each fault manifestation based on the degree of influence of each basic fault manifestation on the system of the electronic oil pump.
[0057] The second determination module 30 is used to determine a basic fault manifestation corresponding to each of the multiple faults to be diagnosed; wherein one fault to be diagnosed corresponds to at least one basic fault manifestation.
[0058] The calculation module 40 is used to calculate the fault impact factor of each to-be-diagnosed fault based on the fault weight and fault coefficient corresponding to each basic fault manifestation.
[0059] The third determination module 50 is used to determine the priority information of each of the multiple faults to be diagnosed based on the fault impact factor.
[0060] The present invention provides an electronic oil pump fault diagnosis priority classification system. By classifying all basic fault manifestations of the electronic oil pump and assigning different fault weights and fault coefficients, the fault influence factor can be calculated for each fault to be diagnosed, and finally the faults to be diagnosed can be prioritized based on the fault influence factors, thereby alleviating the technical problem of low reliability caused by the lack of fault detection priority classification in the prior art.
[0061] Optionally, the classification module 10 is further used to classify all basic fault manifestations of the electronic oil pump into: a first fault level, a second fault level and a third fault level; wherein:
[0062] The basic fault corresponding to the first fault level is manifested as a macroscopic overall fault of the electronic oil pump;
[0063] The basic fault corresponding to the second fault level is manifested as the first subdivided fault after subdividing the macro overall fault;
[0064] The basic fault corresponding to the third fault level is manifested as a second subdivision fault after the first subdivision fault is further subdivided.
[0065] Specifically, the calculation module 40 is further used to: perform weighted summation on the fault coefficients of the basic fault manifestations corresponding to each fault to be diagnosed according to the corresponding fault weights, so as to obtain the fault influence factor of each fault to be diagnosed.
[0066] Figure 4 FIG. 1 is a schematic diagram of another electronic oil pump fault diagnosis priority classification system provided according to an embodiment of the present invention. Figure 4As shown, the system further includes: a fault diagnosis module 60, which is used to diagnose multiple faults to be diagnosed in order of priority information of each fault to be diagnosed from high to low.
[0067] An embodiment of the present invention further provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method in the first embodiment when executing the computer program.
[0068] The embodiment of the present invention further provides a computer-readable medium having a non-volatile program code executable by a processor, wherein the program code enables the processor to execute the method in the above-mentioned embodiment 1.
[0069] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.
Claims
1. A method for prioritizing fault diagnosis of an electronic oil pump, characterized in that: include: All basic fault manifestations of the electronic oil pump are divided into multiple fault levels, and each fault level corresponds to a different fault weight; Determining a fault coefficient corresponding to each basic fault manifestation based on the degree of influence of each basic fault manifestation on the system of the electronic oil pump; Determine a basic fault manifestation corresponding to each of the multiple faults to be diagnosed; wherein one fault to be diagnosed corresponds to at least one basic fault manifestation; Based on the fault weight and fault coefficient corresponding to each basic fault manifestation, calculate the fault impact factor of each fault to be diagnosed; Determining priority information of each of the multiple faults to be diagnosed based on the fault influencing factor; Based on the fault weight and fault coefficient corresponding to each basic fault manifestation, the fault impact factor of each fault to be diagnosed is calculated, including: The fault coefficients of the basic fault manifestations corresponding to each fault to be diagnosed are weighted and summed according to the corresponding fault weights to obtain the fault influence factor of each fault to be diagnosed; After determining the priority information of each of the multiple faults to be diagnosed, the method further includes: Diagnose the multiple faults to be diagnosed in descending order of priority information of each fault to be diagnosed; Classifying all basic fault manifestations of the electronic oil pump into multiple fault levels, including: classifying all basic fault manifestations of the electronic oil pump into: a first fault level, a second fault level and a third fault level; wherein, The basic fault corresponding to the first fault level is manifested as a macroscopic overall fault of the electronic oil pump; The basic fault corresponding to the second fault level is manifested as a first subdivided fault after subdividing the macro overall fault; The basic fault corresponding to the third fault level is manifested as a second subdivision fault after the first subdivision fault is further subdivided.
2. An electronic oil pump fault diagnosis priority classification system, characterized in that: include: a division module, a first determination module, a second determination module, a calculation module and a third determination module; wherein, The classification module is used to classify all basic fault manifestations of the electronic oil pump into multiple fault levels, each fault level corresponding to a different fault weight; The first determination module is used to determine the fault coefficient corresponding to each fault manifestation based on the influence degree of each basic fault manifestation on the system of the electronic oil pump; The second determination module is used to determine the basic fault manifestation corresponding to each of the multiple faults to be diagnosed; wherein one fault to be diagnosed corresponds to at least one basic fault manifestation; The calculation module is used to perform weighted summation of the fault coefficients of the basic fault manifestations corresponding to each fault to be diagnosed according to the corresponding fault weights to obtain the fault influence factor of each fault to be diagnosed; The third determination module is used to determine the priority information of each of the multiple faults to be diagnosed based on the fault impact factor; A fault diagnosis module, configured to diagnose the plurality of faults to be diagnosed in descending order of priority information of each fault to be diagnosed; The method of dividing all basic fault manifestations of the electronic oil pump into multiple fault levels includes: dividing all basic fault manifestations of the electronic oil pump into: a first fault level, a second fault level and a third fault level; wherein, The basic fault corresponding to the first fault level is manifested as a macroscopic overall fault of the electronic oil pump; The basic fault corresponding to the second fault level is manifested as a first subdivided fault after subdividing the macro overall fault; The basic fault corresponding to the third fault level is manifested as a second subdivision fault after the first subdivision fault is further subdivided.
3. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to claim 1 are implemented.
4. A computer-readable medium having a non-volatile program code executable by a processor, characterized in that: The program code enables the processor to execute the method of claim 1.
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