WO2023104120A1

WO2023104120A1 - Fault detection method and apparatus

Info

Publication number: WO2023104120A1
Application number: PCT/CN2022/137349
Authority: WO
Inventors: 周瑾
Original assignee: 北京罗克维尔斯科技有限公司
Priority date: 2021-12-08
Filing date: 2022-12-07
Publication date: 2023-06-15
Also published as: CN114383864A

Abstract

A heat dissipater fault detection method. The method comprises: acquiring real-time working conditions of a target vehicle, and a real-time heat dissipation parameter of a heat dissipation device of the target vehicle (S310); reading a target heat dissipation parameter threshold value of the heat dissipation device under the real-time working conditions (S320), wherein the target heat dissipation parameter threshold value is calculated according to a plurality of target historical heat dissipation parameters, each target historical heat dissipation parameter is a historical heat dissipation parameter of the same heat dissipation device of a reference vehicle under target working conditions, and the target working conditions are the same as the real-time working conditions; and determining abnormal cooling conditions of the heat dissipation device according to the real-time heat dissipation parameter and the target heat dissipation parameter threshold value (S330). By means of the method, precise fault diagnosis can be performed on a heat dissipation device. The present application further relates to a heat dissipation device fault detection apparatus, a heat dissipation device fault detection device, a computer-readable medium for heat dissipation device fault detection, and a computer program product.

Description

Fault detection method and device

Cross References to Related Applications

This application is based on a Chinese patent application with application number 202111490267.X and a filing date of December 08, 2021, and claims the priority of this Chinese patent application. The entire content of this Chinese patent application is hereby incorporated by reference into this application.

technical field

The present disclosure relates to the technical field of vehicles, and in particular to a fault detection method, device, equipment and medium.

Background technique

In order to ensure the safety of the vehicle, it is often necessary to cool down some components of the vehicle through heat dissipation devices.

However, there is no fault diagnosis scheme for heat dissipation devices at this stage. If there is a fault in the heat dissipation device, it is often impossible to detect the fault of the heat dissipation device in time due to the lack of a corresponding fault diagnosis solution, which may affect the safety of the vehicle or the driving experience of the user.

Therefore, in order to ensure the safety of the vehicle, a solution capable of accurate fault diagnosis of heat dissipation devices is needed.

Contents of the invention

In order to solve the above technical problems, the present disclosure provides a fault detection method, device, equipment and medium.

In a first aspect, the present disclosure provides a fault detection method, comprising:

Obtain the real-time operating conditions of the target vehicle and the real-time heat dissipation parameters of the heat dissipation device of the target vehicle;

Read the target heat dissipation parameter threshold of the heat dissipation device under real-time working conditions. The target heat dissipation parameter threshold is calculated based on multiple target historical heat dissipation parameters. Each target historical heat dissipation parameter is the history of the same heat dissipation device of a reference vehicle under the target working condition Heat dissipation parameters, the target working condition is the same as the real-time working condition;

According to the real-time heat dissipation parameter and the target heat dissipation parameter threshold, the cooling abnormality of the heat dissipation device is determined.

In a second aspect, the present disclosure provides a fault detection device, comprising:

The parameter acquisition module is used to acquire the real-time working condition of the target vehicle and the real-time heat dissipation parameters of the heat dissipation device of the target vehicle;

A threshold value reading module is used to read the target heat dissipation parameter threshold of the heat dissipation device under real-time working conditions;

The fault detection module is used to determine the cooling abnormality of the heat dissipation device according to the real-time heat dissipation parameter and the target heat dissipation parameter threshold.

In a third aspect, the present disclosure provides a fault detection device, comprising:

processor;

memory for storing executable instructions;

Wherein, the processor is used to read executable instructions from the memory, and execute the executable instructions to implement the fault detection method in the first aspect.

In a fourth aspect, the present disclosure provides a computer-readable storage medium, the storage medium stores a computer program, and when the computer program is executed by a processor, the processor implements the fault detection method in the first aspect.

In a fifth aspect, the present disclosure provides a computer program product, including a computer program, which implements the fault detection method of the first aspect when executed by a processor.

The fault detection method, device, equipment, and medium of the embodiments of the present disclosure can read the target heat dissipation parameter threshold under the real-time working condition after obtaining the real-time working condition of the target vehicle and the real-time heat dissipation parameters of the heat dissipation device of the target vehicle, because The target heat dissipation parameter threshold is calculated based on the historical heat dissipation parameters of multiple reference vehicles under the target working condition, and the target working condition is the same as the real-time working condition. Threshold for normal cooling parameters. Therefore, according to the real-time heat dissipation parameter and the target heat dissipation parameter threshold, the cooling abnormality of the heat dissipation device can be accurately judged, so that the fault detection scheme provided by the embodiment of the present disclosure can accurately diagnose the fault of the heat dissipation device.

Description of drawings

The above and other features, advantages and aspects of the various embodiments of the present disclosure will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numerals denote the same or similar elements. It should be understood that the drawings are schematic and that elements and elements are not necessarily drawn to scale.

FIG. 1 shows a schematic diagram of a system architecture of a fault detection system provided by an embodiment of the present disclosure;

FIG. 2 shows a schematic diagram of the system architecture of another fault detection system provided by an embodiment of the present disclosure;

FIG. 3 shows a schematic flowchart of a fault detection method provided by an embodiment of the present disclosure;

FIG. 4 shows a schematic flowchart of another fault detection method provided by an embodiment of the present disclosure;

FIG. 5 shows a schematic flowchart of another fault detection method provided by an embodiment of the present disclosure;

FIG. 6 shows a schematic structural diagram of a fault detection device provided by an embodiment of the present disclosure;

FIG. 7 shows a logical schematic diagram of a fault detection solution provided by an embodiment of the present disclosure;

Fig. 8 shows a schematic structural diagram of a fault detection device provided by an embodiment of the present disclosure.

Detailed ways

Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present disclosure are shown in the drawings, it should be understood that the disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein; A more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are only for exemplary purposes, and are not intended to limit the protection scope of the present disclosure.

It should be understood that the various steps described in the method implementations of the present disclosure may be executed in different orders, and/or executed in parallel. Additionally, method embodiments may include additional steps and/or omit performing illustrated steps. The scope of the present disclosure is not limited in this regard.

As used herein, the term "comprise" and its variations are open-ended, ie "including but not limited to". The term "based on" is "based at least in part on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one further embodiment"; the term "some embodiments" means "at least some embodiments." Relevant definitions of other terms will be given in the description below.

It should be noted that concepts such as "first" and "second" mentioned in this disclosure are only used to distinguish different devices, modules or units, and are not used to limit the sequence of functions performed by these devices, modules or units or interdependence.

It should be noted that the modifications of "one" and "multiple" mentioned in the present disclosure are illustrative and not restrictive, and those skilled in the art should understand that unless the context clearly indicates otherwise, it should be understood as "one or more" multiple".

The names of messages or information exchanged between multiple devices in the embodiments of the present disclosure are used for illustrative purposes only, and are not used to limit the scope of these messages or information.

In order to ensure the safety of the vehicle, it is often necessary to cool down some components of the vehicle through a cooling device.

The present disclosure finds through research that if there is a fault in the cooling device, it may affect the safety of the vehicle or the driving experience of the user. For example, after the vehicle has been driving for a long time, the heat dissipation module will be blocked by catkins, dust and foreign objects, or covered by ice and snow, or covered by paper, garbage bags and other foreign objects during driving, resulting in poor cooling of the heat dissipation module, resulting in overheating of the engine and cooling of the air conditioner. If the effect is not good, it will affect the safety of the vehicle or affect the driving experience of the user.

In addition, the reason for the poor cooling of the heat dissipation module is that when the heat dissipation channel of the heat dissipation module is blocked, the air flow rate between the heat dissipation module and the external environment may be reduced, which in turn leads to a decrease in the heat exchange rate, thereby affecting the device to be cooled Unable to dissipate heat properly.

In order to solve the above problems, the embodiments of the present disclosure provide a fault detection method, device, equipment, and medium. By comparing the real-time heat dissipation parameters of the vehicle with the target heat dissipation parameter thresholds, abnormal cooling faults of the heat dissipation components of the vehicle can be detected. Perform accurate detection.

In order to facilitate the overall understanding of the fault detection solutions provided by the embodiments of the present disclosure, before introducing the fault detection method, device, equipment, and medium in the embodiments of the present disclosure, the fault detection system will be described in detail with reference to the accompanying drawings.

Fig. 1 shows a schematic diagram of a system architecture of a fault detection system provided by an embodiment of the present disclosure.

As shown in FIG. 1 , a fault detection system 10 provided by an embodiment of the present disclosure may include a parameter acquisition device 101 and a fault detection device 102 . Wherein, the solid line and the dotted line in FIG. 1 indicate the corresponding relationship between the devices, and are not used to limit the connection relationship between the devices.

The parameter collection device 101 has a parameter collection function, for example, it has the function of collecting the real-time operating conditions of the target vehicle and the real-time heat dissipation parameters of the heat dissipation device 103 . The fault detection device 102 may be a device having a fault diagnosis function and/or a logic judgment function. For example, the fault detection device 102 may be a vehicle controller disposed inside the vehicle, or a cloud server or a physical server disposed outside the vehicle, which is not specifically limited.

For example, the parameter acquisition device 101 acquires the real-time operating conditions of the target vehicle and the real-time heat dissipation parameters of the heat dissipation device 103 of the target vehicle. After the heat dissipation collection device 101 sends the real-time working conditions and real-time heat dissipation parameters to the fault detection device 102, the fault detection device 102 can read the target heat dissipation parameter threshold of the heat dissipation device under real-time working conditions, and , to determine the cooling abnormality of the heat dissipation device 103 . Therefore, the fault detection device 102 can accurately determine the cooling abnormality of the heat dissipation device according to the real-time heat dissipation parameter and the target heat dissipation parameter threshold, so as to perform accurate fault diagnosis on the heat dissipation device.

It should be noted that the above-mentioned heat dissipation device 103 is arranged inside the vehicle, and it may be a device that helps heat-generating components inside the vehicle or components to be dissipated that require cooling to perform heat exchange with the external environment.

In some embodiments, the heat dissipating device 103 may include a device for dissipating heat for the passenger compartment, power battery, engine, driving motor, turbocharger, etc. in the vehicle. In some embodiments, the heat dissipation device 103 may include one or more of a condenser, a high-temperature radiator, a low-temperature radiator, an intercooler, and the like. It should be noted that the cooling device 103 of different vehicles may be different, for example, for a vehicle with a turbocharger function, it may include an intercooler, which can be determined by those skilled in the art according to actual conditions.

Next, the condenser, the high-temperature radiator, the low-temperature radiator, and the intercooler will be described in detail in sequence.

Condenser, which is used to diffuse the heat in the high-temperature and high-pressure gaseous refrigerant to the atmosphere. Embodiments In some embodiments, the condenser may be a heat sink that cools the passenger compartment and/or the traction battery.

High temperature heat sink, which is used to dissipate the heat in the high temperature cooling circuit to the atmosphere. Embodiments In some embodiments, a high temperature radiator may provide engine cooling.

A low temperature radiator for dissipating heat from the low temperature cooling circuit to the atmosphere. Embodiments In some embodiments, a low temperature radiator may provide cooling for the drive motor.

Intercooler, which is used to dissipate the heat in the intercooling circuit to the atmosphere. Embodiments In some embodiments, an intercooler may cool high temperature exhaust gas from a turbocharger.

It should be noted that other heat dissipation devices can also be provided in the vehicle according to specific application scenarios and actual heat dissipation requirements. In addition, for the above-mentioned high-temperature cooling circuit, intercooling circuit and low-temperature cooling circuit, they can be distinguished according to the temperature of the coolant in the cooling channel. For example, the temperature of the coolant in the high-temperature heat dissipation circuit can be as high as more than one hundred degrees Celsius (°C), and the temperature of the coolant in the low-temperature heat dissipation circuit cannot exceed 65°C.

In addition, it should also be noted that, in the case that the above-mentioned fault detection module 102 is a physical server outside the vehicle or a cloud server, the fault detection module 102 can also be equipped with a function to calculate the target heat dissipation according to the target historical heat dissipation parameters under multiple target operating conditions. Function for parameter thresholding.

In some embodiments, the parameters of the cooling device can be directly transmitted to the physical server or the cloud server through the data acquisition device. Or the data acquisition device can be transmitted to the vehicle controller, and then transmitted by the vehicle controller to a physical server or a cloud server outside the vehicle.

In some other embodiments, when the fault detection module 102 is a vehicle controller, the fault detection module 102 may also have the function of data transmission with a physical server outside the vehicle or a cloud server. For example, the real-time operating conditions of the target vehicle and the real-time heat dissipation parameters of the heat dissipation device of the target vehicle can be sent to a physical server or a cloud server outside the vehicle. For another example, the target heat dissipation parameter threshold may be received from a physical server outside the vehicle or a cloud server.

Fig. 2 shows a schematic diagram of the system architecture of another fault detection system provided by an embodiment of the present disclosure.

As shown in FIG. 2 , the fault detection system 20 may include a parameter collection module 210 and a fault detection device 220 .

The parameter collection module 210 has a data collection function for the cooling module 230 . And it can also include the data collection function of the target vehicle. In some embodiments, the parameter collection module 210 may include multiple parameter collection devices 211 - 21N, where N is an integer greater than or equal to 2. The parameter collection devices 211-21N can collect real-time heat dissipation parameters and/or real-time working conditions of the corresponding heat dissipation devices 231-23N.

For example, the multiple parameter acquisition devices 211 - 21N of the parameter acquisition module 210 can respectively collect real-time heat dissipation parameters and real-time working conditions of the multiple heat dissipation devices 231 - 23N of the heat dissipation module 230 . The fault detection device 220 can determine the cooling abnormality of each heat dissipation device based on the real-time heat dissipation parameters and real-time working conditions of each heat dissipation device. And when the number of heat dissipation devices with abnormal cooling is greater than or equal to a preset number threshold, it is determined that the cooling of the heat dissipation module 230 is abnormal. Therefore, there is no need to collect data from the heat dissipation module 230, and by determining whether the number of heat dissipation devices with abnormal cooling is greater than or equal to a preset number threshold, detection of abnormal cooling faults can be realized, reducing the cost of abnormal detection.

It should be noted that the heat dissipation module 230 mentioned above is installed inside the vehicle, for example, it is installed on the front of the vehicle, for example, it may be called a front-end module. The cooling module can exchange heat from the interior of the vehicle to the environment outside the vehicle, for example to the atmosphere. In some embodiments, the heat dissipation module 230 may include N heat dissipation devices 231 - 23N. That is to say, the heat dissipation module 230 may be an assembly of multiple heat dissipation devices in the target vehicle. Wherein, each heat dissipation device in the heat dissipation module 230 can refer to the relevant description of the heat dissipation device 103 in the above-mentioned part of the embodiment of the present disclosure, which will not be repeated here.

In some embodiments, the heat dissipation module 230 may further include a cooling fan. Cooling fans facilitate the exchange of heat between the cooling device and the environment outside the vehicle.

In addition, it should be noted that the function of the above-mentioned fault detection device 220 is similar to that of the above-mentioned fault detection device 102 , and the similarities will not be repeated here.

In some embodiments, the fault detection device 220 may also have the function of judging whether the cooling of the heat dissipation module 230 is abnormal according to the detection results of the cooling functions of each heat dissipation device.

After introducing the fault detection system provided by the embodiment of the present disclosure, next, the fault detection method provided by the embodiment of the present disclosure will be described first.

Fig. 3 shows a schematic flowchart of a fault detection method provided by an embodiment of the present disclosure.

In some embodiments of the present disclosure, the fault detection method shown in FIG. 3 can be applied to devices with fault diagnosis function or logic judgment function, such as cloud server, physical server, or in-vehicle control device, which are not specifically limited.

As shown in FIG. 3, the fault detection method may include the following steps S310 to S330.

S310, acquiring the real-time operating conditions of the target vehicle and the real-time heat dissipation parameters of the heat dissipation devices of the target vehicle.

In an embodiment of the present disclosure, the real-time heat dissipation parameters of the heat dissipation device of the target vehicle may be expressed as heat dissipation parameters collected in real time from the heat dissipation device of the target vehicle when the target vehicle corresponds to the real-time working condition.

In some embodiments, as for the target vehicle, it may be a vehicle that needs to be tested for the cooling function of the heat dissipation device. In some embodiments, it may be a vehicle in which both the device to be dissipated and the dissipated device are in working condition, such as a vehicle in motion.

In some embodiments, the heat dissipation device of the target vehicle may be a heat dissipation device inside the target vehicle that needs to be tested for cooling function. In some embodiments, the heat dissipating device may be a heat dissipating device that satisfies the cooling failure detection condition in the target vehicle. Wherein, the cooling failure detection condition may include that the real-time working condition corresponding to the heat dissipation device reaches the target working condition corresponding to the target heat dissipation parameter threshold.

Embodiments In some embodiments, when the real-time working condition of the first heat dissipation device of the target vehicle is the same as the target working condition of the target heat dissipation parameter threshold corresponding to the first heat dissipation device, the real-time working condition of the second heat dissipation device of the target vehicle If the condition is different from the target working condition of the target heat dissipation parameter threshold corresponding to the second heat dissipation device, then a subsequent cooling abnormality diagnosis can be performed on the first heat dissipation parameter.

In some embodiments, for real-time conditions. It is used to characterize the real-time working condition of at least one of the target vehicle, the cooling device of the target vehicle, and the device to be cooled of the target vehicle.

In some embodiments, the real-time operating conditions may include at least one of the following operating conditions 1-4.

Working condition 1. The operating power of the device to be dissipated corresponding to the heat dissipating device.

It should be noted that the applicant found through research that the operating status of the heat dissipation device and the failure of the heat dissipation device will affect the judgment result of the cooling abnormality of the heat dissipation device. Therefore, by setting working condition 1, the influence of the abnormal temperature rise of the heat-dissipated module on the judgment result can be eliminated, and the influence of the operating power of the device to be dissipated on the judgment accuracy can be avoided, thereby improving the judgment accuracy and fault location accuracy.

Working condition 2, the operating condition corresponding to the cooling device corresponding to the cooling device. Wherein, the operating conditions are used to reflect the operating conditions of the heat dissipation device. For example, it may be the real-time rotational speed of the coolant pump corresponding to the heat dissipation device, the temperature/pressure value of the heat dissipation medium inlet of the heat dissipation module, etc. The operating conditions can be set according to specific scenarios and actual needs, and are not specifically limited.

It should be noted that the applicant found through research that the specific value of the operating condition corresponding to the heat dissipation device and whether the heat dissipation device is faulty will affect the judgment result of the cooling abnormality of the heat dissipation device. Therefore, by setting working condition 2, the influence of the coolant pump failure on the judgment result can be eliminated, and the influence of the speed of the coolant pump on the judgment accuracy can be avoided, thereby improving the judgment accuracy and fault location accuracy.

Working condition 3, the speed of the target vehicle.

It should be noted that the applicant found through research that the speed of the vehicle will have an impact on the result of judging the cooling abnormality of the heat dissipation device. Therefore, by setting working condition 2, the influence of vehicle speed on the judgment accuracy can be eliminated, thereby improving the judgment accuracy.

Working condition 4, the speed of the cooling fan corresponding to the cooling device. Wherein, the cooling fan may be a cooling fan inside the heat dissipation module, for which, reference may be made to the relevant description of the cooling fan in the above section, and details are not repeated here.

It should be noted that the speed of the cooling fan and whether it is faulty will affect the result of judging the cooling abnormality of the heat dissipation device. Therefore, by setting working condition 2, the influence of the cooling fan failure on the judgment result can be eliminated, and the influence of the speed of the cooling fan on the judgment accuracy can be avoided, thereby improving the judgment accuracy and fault location accuracy.

It should also be noted that other working conditions can also be selected according to actual conditions and specific needs, which is not specifically limited.

In one embodiment, when the heat dissipation device includes a high-temperature radiator, the real-time working conditions may include real-time output power of the engine, real-time engine water pump speed, real-time vehicle speed, and real-time speed of the cooling fan.

In another embodiment, when the cooling device includes a low-temperature radiator, the real-time working conditions may include the real-time output power of the motor, the real-time speed of the water pump of the motor, the real-time vehicle speed, and the real-time speed of the cooling fan.

In yet another embodiment, when the cooling device includes a condenser, the real-time operating conditions may include real-time refrigerant pressure at the condenser inlet, real-time temperature at the condenser inlet, real-time vehicle speed, and real-time rotational speed of the cooling fan.

After introducing the real-time working conditions, the real-time heat dissipation parameters will be described in detail next.

As for the real-time heat dissipation parameter, it may be a parameter that can reflect the cooling function of the heat dissipation device. For example, the real-time temperature of the heat dissipation medium, the real-time temperature change rate of the heat dissipation medium, the pressure value of the heat dissipation medium outlet, etc., are not specifically limited.

In one embodiment, when the heat dissipation device includes at least one of a high-temperature radiator, a low-temperature radiator, and an intercooler, the heat dissipation parameter includes a cooling liquid temperature change rate.

In another embodiment, when the heat dissipation device includes a condenser, the heat dissipation data includes the temperature change rate of the condenser outlet and/or the condenser outlet pressure value.

After introducing the real-time heat dissipation parameters, next, the following part of the embodiment of the present disclosure will describe the specific implementation manner of S310 in detail.

In some embodiments, the real-time working conditions and real-time heat dissipation parameters corresponding to the heat dissipation device can be continuously uploaded to the execution subject of the fault detection method. In order for the execution subject of the fault detection method to determine that the same real-time working condition as the target working condition exists in the uploaded real-time working condition, the cooling abnormality diagnosis is performed according to the real-time heat dissipation parameters corresponding to the same real-time working condition as the target working condition.

In some other embodiments, the execution subject of the fault detection method may, when it is determined that the real-time working condition is the same as the target working condition, collect real-time heat dissipation parameters and perform cooling abnormality diagnosis according to the real-time heat dissipation parameters.

S320. Read the target heat dissipation parameter threshold of the heat dissipation device under real-time working conditions.

The target heat dissipation parameter threshold is calculated based on multiple target historical heat dissipation parameters, each target historical heat dissipation parameter is a historical heat dissipation parameter of the same heat dissipation device of a reference vehicle under a target working condition, and the target working condition is the same as the real-time working condition.

In some embodiments, the reference vehicle may be a vehicle capable of uploading real-time cooling parameters and real-time operating conditions. Specifically, the reference vehicle may include the target vehicle or not include the target vehicle, which is not specifically limited.

In some embodiments, the multiple target historical heat dissipation parameters used for calculating the target heat dissipation parameter threshold may be historical heat dissipation parameters acquired within a preset period, or may be the latest preset number of historical heat dissipation parameters acquired, for which Not specifically limited.

As for the target heat dissipation parameter threshold, it may be the critical value of the heat dissipation parameter of the normal heat dissipation device corresponding to the target working condition and the cooling abnormal heat dissipation device corresponding to the target working condition.

First, from the perspective of the calculation subject, in some embodiments, in order to save vehicle computing power, the target heat dissipation parameter threshold can be calculated by a cloud server or a physical server outside the vehicle.

In terms of specific calculation methods, in some embodiments, the target heat dissipation parameter threshold is calculated according to a target normal distribution function constructed from a plurality of target historical heat dissipation parameters.

In some embodiments, for the target normal distribution, the target historical heat dissipation parameters distributed within the value range of (μ-3σ, μ+3σ) can be used as normal values, and the target historical heat dissipation parameters that deviate from the value range parameters as outliers. Correspondingly, the target historical heat dissipation parameter corresponding to μ-3σ can be used as the target heat dissipation parameter threshold. Among them, μ represents the expected value of multiple target historical heat dissipation parameters, and σ represents the standard deviation of multiple target historical heat dissipation parameters.

In some other embodiments, the target heat dissipation parameter threshold may be that after sorting the multiple target historical heat dissipation parameters in descending order, the Mth target historical heat dissipation parameter from the bottom is taken as the target heat dissipation parameter threshold. Alternatively, a preset percentage of the target historical heat dissipation parameter target heat dissipation parameter threshold will be counted down. For example, if there are 1000 target historical heat dissipation parameters, the tenth last target historical heat dissipation parameter may be used as the target heat dissipation parameter threshold. For another example, the target historical heat dissipation parameter located in the bottom 10% is used as the target heat dissipation parameter threshold, for example, there are 500 target historical heat dissipation parameters, and the 50th target historical heat dissipation parameter from the bottom is used as the target heat dissipation parameter threshold.

After introducing the specific calculation content of the target heat dissipation parameter threshold, the other contents of the target heat dissipation parameter threshold are described in detail next.

In some embodiments, when the target vehicle includes multiple heat dissipation devices, different heat dissipation devices may correspond to different target heat dissipation parameter thresholds, or multiple heat dissipation devices may correspond to the same target heat dissipation parameter threshold, for This is not specifically limited.

In some embodiments, the specific implementation of S320 may include: judging whether the real-time working condition is the same as the target working condition. In the case that the real-time working condition is the same as the target working condition, the target cooling parameter threshold corresponding to the target working condition is queried.

In some embodiments, when the real-time working condition is different from the target working condition, it is determined that the target heat dissipation parameter threshold under the real-time working condition is not found. Correspondingly, the fault detection of the heat dissipation device is stopped.

In some other embodiments, the applicant considers that the driving state of the vehicle will affect the cooling function of the heat dissipation device of the vehicle. In order to improve the diagnosis accuracy of abnormal cooling faults, different heat dissipation parameter thresholds can be set for vehicles with different driving data.

Correspondingly, S320 may specifically include the following steps B11 and B12.

Step B11, acquiring real-time driving data of the target vehicle.

For the real-time driving data, it may be the parameters of the real-time driving state of the vehicle that will affect the heat dissipation parameters of the heat dissipation device.

In some embodiments, the real-time driving data includes at least one of the real-time driving area of the target vehicle, the real-time driving mileage of the target vehicle, the ambient temperature of the environment where the target vehicle is located, and the actual working hours of the cooling device.

In an embodiment, the actual working time of the cooling device may be the continuous working time of the cooling device after this startup. Alternatively, it may be the cumulative working hours of the heat dissipation device since it starts to be used.

It should be noted that the real-time driving data may also be other data that can affect the heat dissipation performance of the vehicle radiator, such as the current driving season.

Step B12, among the multiple first heat dissipation parameter thresholds corresponding to the heat dissipation device, query the target heat dissipation parameter threshold corresponding to the real-time driving data. It should be noted that the multiple first heat dissipation parameter thresholds corresponding to different heat dissipation devices may be the same or different.

Wherein, the plurality of first heat dissipation parameter thresholds are calculated according to a plurality of target historical heat dissipation parameters corresponding to different driving data.

Embodiments In some embodiments, for a certain heat dissipation device, its first heat dissipation parameter threshold may include: first heat dissipation parameter thresholds corresponding to a plurality of driving data.

Correspondingly, for the first heat dissipation parameter threshold corresponding to any driving data, it may be calculated by using a plurality of target historical heat dissipation parameters under the driving data.

Table 1

As shown in Table 1, for high-temperature heat dissipation devices, the first heat dissipation parameter threshold corresponding to the first driving data (Hainan, driving mileage is L ₁ ) is X ₁₁ , and the second driving data (Hainan, driving mileage is L ₂ ) corresponds to The first heat dissipation parameter threshold is X ₁₂ , the first heat dissipation parameter threshold corresponding to the third driving data (Liaoning, driving mileage is L ₁ ) is X ₁₃ , the fourth driving data (Liaoning, driving mileage is L ₂ ) corresponds to the first The heat dissipation parameter threshold is X ₁₄ . Wherein, taking the first heat dissipation parameter threshold value of _X11 as an example, it can be calculated according to the historical heat dissipation parameters of the warm and heat dissipation devices of vehicles traveling in Hainan with the actual mileage _L1 under the target working condition.

For low-temperature heat dissipation devices, the first heat dissipation parameter threshold corresponding to the first driving data (Hainan, driving mileage is L ₁ ) is Y ₁₁ , and the first heat dissipation parameter threshold corresponding to the second driving data (Hainan, driving mileage is L ₂ ) is Y ₁₂ , the first heat dissipation parameter threshold corresponding to the third driving data (Liaoning, mileage L ₁ ) is Y ₁₃ , and the first heat dissipation parameter threshold corresponding to the fourth driving data (Liaoning, mileage L ₂ ) is Y ₁₄ .

Through the above steps, since different regions may have different heat dissipation functions of heat dissipation devices due to factors such as regional temperature and regional humidity, using different target heat dissipation parameter thresholds for vehicles in different regions for fault diagnosis can improve the accuracy of fault diagnosis.

Through the above steps, since the heat dissipation function of the heat dissipation device may be different due to factors such as regional temperature and regional humidity in different mileages, it is possible to improve the accuracy of fault diagnosis by using different target heat dissipation parameter thresholds for vehicles in different regions. .

In some embodiments, the applicant may set different heat dissipation parameter thresholds for different working conditions, so that the vehicle can reach Fault detection can be carried out in any working condition, improving the comprehensiveness and timeliness of fault detection.

Correspondingly, S320 may specifically include the following step B2.

Step B2, among the plurality of second heat dissipation parameter thresholds corresponding to the heat dissipation device, query the target heat dissipation parameter threshold corresponding to the target working condition. It should be noted that the multiple second heat dissipation parameter thresholds corresponding to different heat dissipation devices may be the same or different.

Wherein, the multiple second heat dissipation parameter thresholds are calculated according to multiple historical heat dissipation parameters under different working conditions. That is to say, different working conditions respectively correspond to a second heat dissipation parameter threshold. In some embodiments, for a certain heat dissipation device, the second heat dissipation parameter threshold for each working condition is calculated by using the historical heat dissipation parameters of the heat dissipation device of a reference vehicle under the working condition.

Table 2

As shown in Table 2, for high-temperature heat dissipation devices, the second heat dissipation parameter threshold value corresponding to the first working condition (engine output power P ₁ , engine water pump speed R ₁ , vehicle speed V ₁ , cooling fan speed W ₁ ) is X ₂₁ , and the second The second heat dissipation parameter threshold corresponding to the second working condition (engine output power P ₂ , engine water pump speed R ₂ , vehicle speed V ₂ , cooling fan speed W ₂ ) is X ₂₂ , and the third working condition (engine output power P ₃ , engine water pump The second heat dissipation parameter threshold corresponding to rotational speed R ₃ , vehicle speed V ₃ , cooling fan rotational speed W ₃ is X ₂₃ , and the fourth working condition (engine output power P ₄ , engine water pump rotational speed R ₄ , vehicle speed V ₄ , cooling fan rotational speed W ₄ ) The corresponding second heat dissipation parameter threshold is X ₂₄ .

Embodiments In some embodiments, when the obtained real-time operating conditions are engine output power P ₁ , engine water pump speed R ₁ , vehicle speed V ₁ , and cooling fan speed W ₁ , the second heat dissipation parameter threshold X ₂₁ can be selected as Target thermal parameter threshold.

In some embodiments, different driving data and different working conditions may correspond to different heat dissipation parameter thresholds. For example, vehicles in Liaoning and vehicles in Hainan correspond to different heat dissipation parameter thresholds under the same working condition.

It should be noted that different driving data and different working conditions correspond to different heat dissipation parameter thresholds, which can be referred to the specific description of the first heat dissipation parameter threshold and the second heat dissipation parameter threshold in the above section, and will not be repeated here.

S330. Determine the cooling abnormality of the heat dissipation device according to the real-time heat dissipation parameter and the target heat dissipation parameter threshold.

In some embodiments, the cooling abnormality of the heat dissipation device may include whether the cooling of the heat dissipation device is abnormal, the fault type of the heat dissipation device, the cooling abnormality level of the heat dissipation device, and the like.

First, as to whether the cooling of the cooling device is abnormal, the description is as follows.

In some embodiments, the cooling abnormality of the heat dissipation device may refer to an abnormal heat exchange function or cooling function of the heat dissipation module to be cooled by the heat dissipation device.

In one embodiment, S330 may include step C1.

In step C1, when the real-time heat dissipation parameter is smaller than the target heat dissipation parameter threshold, it is determined that the cooling of the heat dissipation module is abnormal.

In another embodiment, S330 may include step C2.

In response to the real-time heat dissipation parameter being greater than or equal to the target heat dissipation parameter threshold, it is determined that the cooling of the heat dissipation device is normal. That is to say, the cooling function of the cooling module to be cooled by the cooling device is normal.

Next, the failure types of the heat dissipation device will be described.

In some embodiments, S330 may include step C3.

In step C3, it is determined that the fault type of the heat dissipation device is a heat dissipation channel blocking fault.

Wherein, the blockage of the heat dissipation channel means that the heat dissipation channel between the heat dissipation device and the external environment of the vehicle is blocked.

It should be noted that the embodiments of the present disclosure can eliminate the influence of factors such as abnormal heating of the heat dissipation device, failure of the heat dissipation device, and changes in vehicle operating parameters on the heat dissipation parameters through the above real-time working conditions and/or real-time driving data, so as to accurately identify the cause of the failure. Locating the blockage of heat dissipation channels improves the accuracy of fault diagnosis.

Next, continue to explain the cooling abnormality level in detail.

The abnormal cooling level is used to reflect the fault degree of the abnormal cooling fault of the heat dissipation device. Different cooling abnormality grades can reflect different fault degrees of cooling abnormality faults.

In some embodiments, S330 may include step C4.

Step C4, based on the preset correspondence between heat dissipation parameters and cooling abnormality levels, using the real-time heat dissipation parameters to determine the target abnormality level of the heat dissipation device corresponding to the real-time heat dissipation parameters.

In some embodiments, different cooling abnormality levels may correspond to different value ranges of heat dissipation parameters. When the real-time heat dissipation parameter falls within the heat dissipation parameter range of a certain cooling abnormal level, the cooling abnormal level can be considered as the target abnormal level.

In some embodiments, the heat dissipation parameter value intervals of each cooling abnormality level may be correspondingly selected according to the target heat dissipation parameter threshold. For example, the threshold value of the target heat dissipation parameter is a ₁ , and there are three levels of cooling abnormality, respectively representing slight abnormality, moderate abnormality, and severe abnormality. Then the value intervals of the heat dissipation parameters of the three abnormal cooling levels can be [a ₁ , a ₂ ), [a ₂ , a ₃ ), [a ₃ ,+∞). Wherein, a ₃ is greater than a ₂ , and a ₂ is greater than a ₁ .

It should be noted that the number of abnormal cooling levels is not limited to three, and the number of abnormal cooling levels can also be determined according to actual conditions and specific needs, such as two or more levels than three.

In some embodiments, different heat dissipation devices may have different preset correspondences between heat dissipation parameters and cooling abnormality levels.

In some embodiments, the number of cooling abnormality levels in the corresponding relationship of different heat dissipation devices may be the same or the same, which is not limited. For example, the cooling abnormality level of the high-temperature radiator may include three levels of slight abnormality, moderate abnormality, and severe abnormality, and the cooling abnormality level of the intercooler may include two levels of slight abnormality level and serious abnormality level.

In some embodiments, the value intervals of heat dissipation parameters corresponding to the abnormal cooling levels of different heat dissipation devices may also be the same or different, which is not specifically limited. For example, the value interval of the heat dissipation parameter of the slight abnormal level of the high temperature radiator may be [b ₁ , b ₂ ), and the value range of the heat dissipation parameter of the slight abnormal level of the intercooler may be [c ₁ ,c ₂ ).

In the embodiment of the present disclosure, after obtaining the real-time working condition of the target vehicle and the real-time heat dissipation parameters of the heat dissipation device of the target vehicle, the target heat dissipation parameter threshold under the real-time working condition can be read, because the target heat dissipation parameter threshold is based on multiple It is calculated with reference to the historical heat dissipation parameters of the vehicle under the target working condition, and the target working condition is the same as the real-time working condition. Correspondingly, the target heat dissipation parameter threshold can represent the critical value of the normal heat dissipation parameter of the heat dissipation module under the real-time working condition. Therefore, according to the real-time heat dissipation parameter and the target heat dissipation parameter threshold, the cooling abnormality of the heat dissipation device can be accurately judged, so that the fault detection scheme provided by the embodiment of the present disclosure can accurately diagnose the fault of the heat dissipation device.

In some embodiments, after S320, the fault detection method further includes the following step C4.

Step C4, generating a fault detection result of the heat dissipation device. Wherein, the fault detection result is used to indicate whether the cooling of the cooling device is abnormal.

In some embodiments, in order to facilitate troubleshooting, the fault detection result may be sent to relevant personnel. Wherein, the relevant person may be a vehicle driver, a vehicle owner, or a vehicle after-sales personnel. For example, the fault detection result can be sent to the after-sales personnel, and the after-sales personnel will notify the user to go to the maintenance point for repair or guide the user to handle the fault remotely.

Fig. 4 shows a schematic flowchart of another fault detection method provided by an embodiment of the present disclosure. The embodiments of the present disclosure are optimized on the basis of the foregoing embodiments, and the embodiments of the present disclosure may be combined with various optional solutions in the foregoing one or more embodiments.

In some embodiments of the present disclosure, the fault detection method shown in FIG. 4 can be applied to devices with fault diagnosis function or logic judgment function, such as cloud server, physical server, or in-vehicle control device.

As shown in FIG. 4, the fault detection method may include the following steps S410 to S440.

S410, acquiring the real-time working condition of the target vehicle and the real-time heat dissipation parameters of the heat dissipation device of the target vehicle. Among them, the S410 is similar to the S310, and details will not be repeated here.

S420. Read the target heat dissipation parameter threshold of the heat dissipation device under real-time working conditions.

Among them, the S420 is similar to the S320, and details will not be repeated here.

S430. Determine the cooling abnormality of the heat dissipation device according to the real-time heat dissipation parameter and the target heat dissipation parameter threshold.

Among them, the S430 is similar to the S330, and details will not be repeated here.

S440, in response to the number of abnormally cooled heat dissipation devices in the heat dissipation module being greater than or equal to a preset number threshold, determine that the heat dissipation module is abnormally cooled.

Wherein, the preset number threshold may be an integer greater than or equal to 2, such as 2. It should be noted that a preset quantity threshold can also be set according to actual conditions and specific needs.

In one embodiment, when the heat dissipation module includes a high-temperature radiator, a low-temperature radiator, and a condenser, it is determined that the cooling of the heat dissipation module is abnormal in response to abnormal cooling of any two of the three, or abnormal cooling of all the three.

In some embodiments, the fault detection method further includes: determining that the fault type of the heat dissipation module is a fault of blockage of the heat dissipation channel. Wherein, the heat dissipation channel blocking fault indicates that the heat dissipation channel between the heat dissipation module and the external environment of the vehicle is blocked.

In addition, the applicant found through research that the heat dissipation performance of the heat dissipation device is not only affected by its own heat dissipation performance. Since multiple heat dissipation devices are integrated into a heat dissipation module, such as the front-end module shown in the above embodiment, the heat dissipation module has a great impact on the heat dissipation of the heat dissipation device. The heat dissipation performance plays a certain role. For example, the heat dissipation module can exchange heat with the outside of the vehicle through the heat dissipation port and the heat dissipation channel. If the heat dissipation port or the heat dissipation channel of the heat dissipation module fails, it will affect the heat dissipation of the heat dissipation device inside the heat dissipation module. Therefore, by judging whether the heat dissipation module is faulty, and more accurately locating abnormal cooling faults. And, because the heat dissipation device and the exterior of the vehicle often dissipate heat through the heat dissipation vents and heat dissipation channels. The heat dissipation port on the vehicle can include the heat dissipation port of the heat dissipation module and the heat dissipation port of the heat dissipation device, and the heat dissipation channel can include the heat dissipation channel inside the heat dissipation device (that is, the heat dissipation channel of the heat dissipation device) and the heat dissipation channel between the outside of the heat dissipation device and the outside of the vehicle. (That is, the heat dissipation channel of the heat dissipation module) Because the abnormal cooling failure is often caused by the blockage of the heat dissipation port or the heat dissipation channel, by determining the abnormal cooling of the heat dissipation module or the cooling of the heat dissipation device, it can be determined which heat dissipation port is blocked or which heat dissipation channel is blocked , for easy troubleshooting.

And, in the embodiment of the present disclosure, by determining whether the number of abnormal cooling cooling devices is greater than or equal to the preset number threshold, the detection of abnormal cooling faults can be realized without data collection of the cooling module, which reduces abnormal detection cost.

In some embodiments, after S440, the fault detection method further includes the following step D1.

Step D1, generating a fault detection result of the cooling module. Wherein, the fault detection result is used to indicate whether the cooling module is abnormally cooled.

Fig. 5 shows a schematic flowchart of another fault detection method provided by an embodiment of the present disclosure. The embodiments of the present disclosure are optimized on the basis of the foregoing embodiments, and the embodiments of the present disclosure may be combined with various optional solutions in the foregoing one or more embodiments.

In some embodiments of the present disclosure, the fault detection method shown in FIG. 5 can be applied to devices with fault diagnosis functions or logical judgment functions, such as cloud servers, physical servers, or in-vehicle control devices.

As shown in FIG. 5 , the fault detection method may include the following steps S510 to S540.

S510, acquiring the real-time operating conditions of the target vehicle and the real-time heat dissipation parameters of the heat dissipation devices of the target vehicle.

Among them, the S510 is similar to the S310, so details will not be repeated here.

S520. Read the target heat dissipation parameter threshold of the heat dissipation device under real-time working conditions.

Among them, the S520 is similar to the S320, and details will not be repeated here.

S530. In response to the real-time heat dissipation parameter being smaller than the target heat dissipation parameter threshold, based on the preset correspondence between the heat dissipation parameter and the cooling abnormality level, determine the target abnormality level of the heat dissipation device by using the real-time heat dissipation parameter.

Among them, the S530 is similar to the S330, and details will not be repeated here.

S540. Execute the target exception handling strategy corresponding to the target exception level.

In some embodiments, in order to improve the flexibility of fault handling, different cooling exception levels may correspond to different exception handling strategies.

In one embodiment, when the target abnormality level indicates a slight abnormality and does not affect normal driving, the driver of the vehicle may be notified to clean the vents or ventilation passages of the heat dissipation module by himself.

In another embodiment, when the target abnormality level represents a moderate abnormality and does not affect the safety of the vehicle, the driver of the vehicle may be notified to drive the vehicle to a maintenance station for fault repair.

In yet another embodiment, when the target abnormality level indicates a serious abnormality that affects vehicle safety, the driver of the vehicle may be notified to wait on the spot for maintenance.

Fig. 6 shows a schematic structural diagram of a fault detection device provided by an embodiment of the present disclosure.

In some embodiments of the present disclosure, the fault detection device shown in FIG. 6 may be a device with a fault diagnosis function or a logical judgment function, such as a cloud server, a physical server, or an in-vehicle control device, which is not specifically limited.

As shown in FIG. 6 , the fault detection device 600 may include a parameter acquisition module 610 , a threshold reading module 620 and a first fault detection module 630 .

The parameter acquisition module 610 can be used to acquire the real-time operating conditions of the target vehicle and the real-time heat dissipation parameters of the heat dissipation device of the target vehicle;

The threshold value reading module 620 can be used to read the target heat dissipation parameter threshold of the heat dissipation device under real-time working conditions;

The first fault detection module 630 can be used to determine the cooling abnormality of the heat dissipation device according to the real-time heat dissipation parameter and the target heat dissipation parameter threshold.

In some embodiments of the present disclosure, the target vehicle includes a plurality of heat dissipation devices, and the plurality of heat dissipation devices form a heat dissipation module.

Correspondingly, the fault detection device 600 may further include a second fault detection module.

The second fault detection module may be used to determine that the cooling of the heat dissipation module is abnormal in response to the number of abnormally cooled heat dissipation devices being greater than or equal to a preset number threshold.

In some embodiments of the present disclosure, the first fault detection module 630 may be specifically configured to use the real-time heat dissipation parameters to determine the heat dissipation device based on the preset correspondence between heat dissipation parameters and cooling abnormality levels in response to the real-time heat dissipation parameters being less than the target heat dissipation parameter threshold The target abnormality level; the fault detection device 600 may also include a policy execution module.

The policy execution module can be used to execute the target exception handling strategy corresponding to the target exception level of the cooling device.

In some embodiments of the present disclosure, the threshold reading module 620 may include a data acquisition unit and a first threshold query unit.

The data acquisition unit can be used to acquire real-time driving data of the target vehicle;

The first threshold query unit can be used to query the target heat dissipation parameter thresholds corresponding to the real-time driving data among the multiple first heat dissipation parameter thresholds corresponding to the heat dissipation device, wherein the multiple first heat dissipation parameter thresholds are based on multiple thresholds corresponding to different driving data. The target historical heat dissipation parameters are calculated.

In some embodiments of the present disclosure, the real-time driving data includes at least one of the real-time driving area of the target vehicle, the real-time driving mileage of the target vehicle, the ambient temperature of the environment where the target vehicle is located, and the actual working hours of the cooling device.

In some embodiments of the present disclosure, the threshold reading module 620 may include a second threshold query unit.

The second threshold query unit can be used to query the target heat dissipation parameter threshold corresponding to the target working condition among the multiple second heat dissipation parameter thresholds corresponding to the heat dissipation device. The multiple second heat dissipation parameter thresholds are based on multiple histories under different working conditions The heat dissipation parameters are calculated.

In some embodiments of the present disclosure, the real-time working conditions include at least one of the following;

The operating power of the device to be dissipated corresponding to the heat dissipating device;

The operating conditions corresponding to the cooling device;

the speed of the target vehicle;

The speed of the cooling fan corresponding to the cooling device.

In some embodiments of the present disclosure, the heat dissipation device includes at least one of a high-temperature radiator, a low-temperature radiator, and an intercooler, and the heat dissipation parameter includes a cooling liquid temperature change rate.

In some embodiments of the present disclosure, the heat dissipation device includes a condenser, and the heat dissipation data includes an outlet temperature change rate and/or an outlet pressure value.

In some embodiments of the present disclosure, the target heat dissipation parameter threshold is obtained according to a target normal distribution function constructed from a plurality of target historical heat dissipation parameters.

It should be noted that the fault detection device 600 shown in FIG. 6 can execute each step in the method embodiment shown in FIG. 3 to FIG. 5 , and realize each process and effects, which will not be described here.

In one embodiment, for ease of understanding, FIG. 7 shows a schematic diagram of a fault detection solution provided by an embodiment of the present disclosure.

As shown in Figure 7, if the target vehicle includes N cooling devices, for each cooling device in the first cooling device to the Nth cooling device, the first fault diagnosis module 711 of each cooling device can obtain the information from the cloud server 720 The target heat dissipation parameter threshold of the heat dissipation device and the first fault diagnosis module 711 of the heat dissipation device can obtain the real-time working conditions and real-time heat dissipation parameters of the heat dissipation device. Next, when the real-time heat dissipation parameter and the target working condition corresponding to the target heat dissipation parameter threshold are the same, the first fault diagnosis module 711 of the heat dissipation device can generate the heat dissipation device according to the comparison result of the real-time heat dissipation parameter and the target heat dissipation parameter threshold. The diagnosis result of T1.

The second fault diagnosis module 712 may receive the diagnosis results T1 of N cooling devices. In a case where it is determined that the number of abnormally cooled cooling components is greater than or equal to a preset number threshold according to the plurality of diagnosis results T1, it may be determined that the cooling module is abnormally cooled, and a diagnosis result T2 is generated.

In some embodiments, the diagnosis result T2 may be sent to relevant personnel for subsequent troubleshooting.

As shown in FIG. 8 , the fault detection device may include a controller 801 and a memory 802 storing computer program instructions.

Specifically, the above-mentioned controller 801 may include a central processing unit (CPU), or an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), or may be configured to implement one or more integrated circuits of the embodiments of the present application.

Memory 802 may include mass storage for information or instructions. By way of example and not limitation, the memory 802 may include a hard disk drive (Hard Disk Drive, HDD), a floppy disk drive, a flash memory, an optical disk, a magneto-optical disk, a magnetic tape, or a Universal Serial Bus (Universal Serial Bus, USB) drive or two or more thereof. A combination of the above. Storage 802 may include removable or non-removable (or fixed) media, where appropriate. Memory 802 may be internal or external to the integrated gateway device, where appropriate. In a particular embodiment, memory 802 is a non-volatile solid-state memory. In a particular embodiment, the memory 802 includes a read-only memory (Read-Only Memory, ROM). Where appropriate, the ROM can be a mask programmed ROM, a programmable ROM (Programmable ROM, PROM), an erasable PROM (Electrical Programmable ROM, EPROM), an electrically erasable PROM (Electrically Erasable Programmable ROM, EEPROM) ), electrically rewritable ROM (Electrically Alterable ROM, EAROM) or flash memory, or a combination of two or more of these.

The controller 801 executes the steps of the fault detection method provided by the embodiments of the present disclosure by reading and executing the computer program instructions stored in the memory 802 .

In one embodiment, the fault detection device may further include a transceiver 803 and a bus 804 . Wherein, as shown in FIG. 8 , the controller 801 , the memory 802 and the transceiver 803 are connected through a bus 804 and complete mutual communication.

Bus 804 includes hardware, software, or both. By way of example and not limitation, a bus may include an Accelerated Graphics Port (AGP) or other graphics bus, an Enhanced Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a Super Transmission (Hyper Transport, HT) interconnection, Industrial Standard Architecture (Industrial Standard Architecture, ISA) bus, Infinity Bandwidth interconnection, Low Pin Count (Low Pin Count, LPC) bus, memory bus, Micro Channel Architecture (Micro Channel Architecture) , MCA) bus, Peripheral Component Interconnect (PCI) bus, PCI-Express (PCI-X) bus, Serial Advanced Technology Attachment (Serial Advanced Technology Attachment, SATA) bus, Video Electronics Standards Association local (Video Electronics Standards Association Local Bus, VLB) bus or other suitable bus or a combination of two or more of these. Bus 804 may comprise one or more buses, where appropriate. Although the embodiments of this application describe and illustrate a particular bus, this application contemplates any suitable bus or interconnect.

The embodiment of the present disclosure also provides a computer-readable storage medium, which can store a computer program, and when the computer program is executed by the processor, the processor is enabled to implement the fault detection method provided by the embodiment of the present disclosure.

The above-mentioned storage medium may include, for example, a memory 802 of computer program instructions, and the above-mentioned instructions can be executed by the processor 801 of the fault detection device to complete the fault detection method provided by the embodiment of the present disclosure. In some embodiments, the storage medium can be a non-transitory computer-readable storage medium, for example, the non-transitory computer-readable storage medium can be ROM, random access memory (Random Access Memory, RAM), optical disc read-only memory (Compact Disc ROM, CD-ROM), magnetic tape, floppy disk and optical data storage devices, etc.

The embodiment of the present disclosure also provides a computer program product, including a computer program, and when the computer program is executed by a processor, the fault detection method provided by the embodiment of the present disclosure is implemented.

It should be noted that in this article, relative terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply these No such actual relationship or order exists between entities or operations. Moreover, the term "comprising" is intended to cover a non-exclusive inclusion such that a process, method, article, or apparatus comprising a set of elements includes not only those elements but also other elements not expressly listed, or is also included as such. An element inherent in a process, method, article, or device.

The above are only specific implementation manners of the present disclosure, so that those skilled in the art can understand or implement the present disclosure. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present disclosure. Therefore, the present disclosure will not be limited to these embodiments herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

A fault detection method, characterized in that, comprising:

Obtaining the real-time working condition of the target vehicle and the real-time heat dissipation parameters of the heat dissipation device of the target vehicle;

Read the target heat dissipation parameter threshold of the heat dissipation device under the real-time working condition, the target heat dissipation parameter threshold is calculated according to a plurality of target historical heat dissipation parameters, each of the target historical heat dissipation parameters is the same heat dissipation of a reference vehicle The historical heat dissipation parameters of the device under the target working condition, the target working condition is the same as the real-time working condition;

According to the real-time heat dissipation parameter and the target heat dissipation parameter threshold, an abnormal cooling condition of the heat dissipation device is determined.
The method according to claim 1, wherein the target vehicle includes a plurality of the heat dissipation devices, and the plurality of heat dissipation devices form a heat dissipation module;

Wherein, the method also includes:

In response to the number of abnormal cooling cooling components being greater than or equal to a preset number threshold, it is determined that the cooling module is abnormal.
The method according to claim 1, wherein the abnormal cooling condition comprises an abnormal cooling level of the heat dissipation device;

The determining the cooling abnormality of the heat dissipation device according to the real-time heat dissipation parameter and the target heat dissipation parameter threshold includes:

In response to the real-time heat dissipation parameter being less than the target heat dissipation parameter threshold, based on the preset correspondence between heat dissipation parameters and cooling abnormality levels, using the real-time heat dissipation parameters to determine the target abnormality level of the heat dissipation device;

After the determination of the cooling abnormality of the heat dissipation device, the method further includes: executing an abnormality handling strategy corresponding to a target abnormality level of the heat dissipation device.
The method according to claim 1, wherein the reading the target heat dissipation parameter threshold of the heat dissipation device under the real-time working condition comprises:

Obtain real-time driving data of the target vehicle;

Among the multiple first heat dissipation parameter thresholds corresponding to the heat dissipation device, query the target heat dissipation parameter thresholds corresponding to the real-time driving data, wherein the multiple first heat dissipation parameter thresholds are based on multiple target historical heat dissipation parameters corresponding to different driving data calculated.
The method according to claim 4, wherein the real-time driving data includes the real-time driving area of the target vehicle, the real-time driving mileage of the target vehicle, the ambient temperature of the environment where the target vehicle is located, and the heat dissipation device At least one of the actual hours worked.
The method according to claim 1, wherein the reading the target heat dissipation parameter threshold of the heat dissipation device under the real-time working condition comprises:

Among the multiple second heat dissipation parameter thresholds corresponding to the heat dissipation device, query the target heat dissipation parameter thresholds corresponding to the target working conditions, and the multiple second heat dissipation parameter thresholds are calculated according to multiple historical heat dissipation parameters under different working conditions get.
The method according to claim 1, wherein the real-time operating conditions include at least one of the following;

The operating power of the device to be dissipated corresponding to the heat dissipation device;

The operating conditions corresponding to the heat dissipation device;

the speed of the target vehicle;

The rotation speed of the cooling fan corresponding to the cooling device.
The method according to claim 1, wherein the heat dissipation device includes at least one of a high-temperature radiator, a low-temperature radiator, and an intercooler, and the heat dissipation parameter includes a cooling liquid temperature change rate.
The method according to claim 1 or 8, wherein the heat dissipation device includes a condenser, and the heat dissipation data includes an outlet temperature change rate and/or an outlet pressure value.
The method according to claim 1, wherein the target heat dissipation parameter threshold is calculated according to a target normal distribution function constructed from a plurality of target historical heat dissipation parameters.
A fault detection device, comprising:

A parameter acquisition module, configured to acquire the real-time operating conditions of the target vehicle and the real-time heat dissipation parameters of the heat dissipation device of the target vehicle;

A threshold value reading module, configured to read the target heat dissipation parameter threshold of the heat dissipation device under the real-time working condition;

The first fault detection module is configured to determine the cooling abnormality of the heat dissipation device according to the real-time heat dissipation parameter and the target heat dissipation parameter threshold.
A battery control device comprising:

processor;

memory for storing executable instructions;

Wherein, the processor is configured to read the executable instruction from the memory, and execute the executable instruction to implement the fault detection method described in any one of claims 1 to 10 above.
A computer-readable storage medium, wherein the storage medium stores a computer program, and when the computer program is executed by a processor, the processor realizes the fault detection described in any one of claims 1 to 10 method.
A computer program product, including a computer program, when the computer program is executed by a processor, the fault detection method described in any one of claims 1 to 10 is implemented.