CN118624212A - A clutch fault prediction method, device, equipment and program product - Google Patents

Abstract

The present invention relates to a clutch fault prediction method, device, equipment and program product, wherein the method comprises: acquiring driving data information within a preset period; determining, based on the driving data information, the speed difference between the engine speed and the input shaft speed of at least one clutch in a power shift event; determining the number of errors of the at least one clutch based on the speed difference; and sending a fault warning to a corresponding terminal device when it is determined that the number of errors of any of the clutches is greater than or equal to an error number threshold within the preset period.

Description

A clutch fault prediction method, device, equipment and program product

Technical Field

The present invention relates to the field of automobile technology, and in particular to a clutch fault prediction method, device, equipment and program product.

Background Art

At present, the fault detection of the vehicle transmission clutch generally integrates the function into the transmission control unit (TCU). The TCU performs calculation and analysis. When the clutch function is detected to be abnormal, the fault is directly fed back to the user in the form of a fault code. At this time, the performance of the whole vehicle is already abnormal, and the fault light is on. The user does not understand the meaning of the fault light and does not know how to clear it, resulting in a poor user experience and serious impact on after-sales service. At the same time, the function is integrated into the TCU for real-time calculation, which occupies TCU resources and increases the cost of fault detection.

Summary of the invention

One of the purposes of the present invention is to reduce product and after-sales costs and prevent failures from occurring by using a method for predicting periodic failures through driving data information.

In order to achieve the above object, the technical solution adopted by the present invention is as follows:

Acquire driving data information within a preset period;

determining a speed difference between an engine speed and an input shaft speed of at least one clutch during a power shift event based on the driving data information;

determining a number of errors of the at least one clutch based on the speed difference;

When it is determined that the number of errors of any of the clutches is greater than or equal to the error number threshold within the preset period, a fault warning is sent to the corresponding terminal device.

According to the above technical means, cloud computing equipment is used to periodically capture cloud data, and whether the working clutch is in a sub-healthy state or has a tendency to fail is determined by whether the total number of errors of any clutch within the period is greater than the preset error number threshold. This can effectively avoid after-sales failures. Subsequently, push prompts can be sent through a terminal that communicates with the vehicle equipped with the clutch, which can avoid the difficulty of transmitting information from existing fault light signs, avoid users' delay in discovering abnormalities, and improve users' driving experience. At the same time, the computing means of cloud big data greatly improves computing efficiency, liberates the computing power resources required for conventional fault diagnosis means of the transmission control unit, and reduces hardware costs.

Further, the driving data information includes a gear position signal, a shift state signal, a clutch pressure signal, an engine speed signal and at least one input shaft speed signal; wherein the shift state signal is determined based on the throttle opening, the vehicle speed, the gear position signal, the clutch pressure signal, the engine speed signal and the input shaft speed signal;

The determining the number of errors of at least one clutch based on the driving data information comprises:

determining target analysis data for clutch-integrated power shift event data based on the gear position signal, the shift state signal, and the clutch pressure signal;

A speed difference between an engine speed and an input shaft speed during a power shift event is determined based on the target analysis data of the engaged clutch.

According to the above technical means, it is possible to obtain target analysis data of the clutch engagement when a shift event is determined, and analyze the target analysis data of the clutch engagement to determine the speed difference between the engine speed and the input shaft speed in the power shift event.

Further, the determining of target analysis data of the clutch in the power shift event data based on the gear position signal, the shift state signal and the clutch pressure signal comprises:

determining power shift event data for the engaged clutch based on the gear position signal and the clutch state map;

determining torque phase data in the power shift event data based on the shift state signal;

The target analysis data is determined in the torque phase data based on the pressure signal of the engaged clutch.

According to the above technical means, it is possible to determine the target analysis data for determining whether the clutch engagement is erroneous in the power shift event data by using the clutch state map.

Further, the determining the power shift event data of the clutch engagement based on the gear position signal and the clutch state map includes:

determining at least one clutch state in at least one target power shift event based on the gear position signal and the clutch state map;

determining an engaged clutch in the target power shift event based on at least one clutch state in the target power shift event;

Power shift event data of the engaged clutch is acquired.

According to the above technical means, it is possible to determine the engaged clutch based on the clutch state and obtain the power shift event data of the engaged clutch.

Further, the determining the target analysis data in the torque phase data based on the pressure signal of the coupled clutch comprises:

Acquiring a pressure value of a pressure signal of the engaging clutch in the torque phase data;

In the case where it is determined that the pressure value of the pressure signal of the clutch engagement is greater than or equal to a pressure threshold, the target analysis data is determined.

According to the above technical means, it is possible to determine target analysis data for analyzing clutch engagement errors based on a preset pressure threshold.

Further, the target analysis data includes a maximum engine speed and a maximum clutch speed; and the determining of a speed difference between an engine speed and an input shaft speed in the power shift event based on the target analysis data of the clutch engagement includes:

Acquiring a maximum engine speed and a maximum clutch speed of the coupled clutch in a torque phase in the target power shift event;

The speed difference of the combined clutch is obtained by subtracting the maximum speed of the engine of the combined clutch in the torque phase from the maximum speed of the clutch.

According to the above technical means, a speed difference for judging whether an error occurs in the clutch can be determined based on the maximum speed of the engine and the maximum speed of the clutch.

Further, determining the number of errors of the at least one clutch based on the speed difference comprises:

When it is determined that the speed difference is greater than or equal to the speed difference threshold, the number of errors corresponding to the clutch is increased by 1 to obtain an error accumulation result;

The number of errors of the at least one clutch within the preset period is determined based on the error accumulation result corresponding to the at least one power shift event.

According to the above technical means, based on the preset speed difference threshold, the maximum engine speed and the maximum clutch speed can be used to determine whether an error occurs in the clutch engagement, and by accumulating the number of errors, the number of errors of at least one clutch within a preset period can be obtained.

Furthermore, the method further comprises:

When it is determined that the error times of all the clutches are less than the error times threshold value within the preset period, the error times are cleared.

According to the above technical means, when it is determined that all clutches have not reached the fault alarm condition within the preset period, the number of errors can be cleared in time, which can effectively avoid false alarms caused by the accumulation of the number of errors.

The embodiment of the present invention further provides a clutch fault prediction device, comprising:

An acquisition module, used to acquire driving data information within a preset period;

a first determination module, configured to determine, based on the driving data information, a speed difference between an engine speed and an input shaft speed of at least one clutch in a power shift event;

a second determination module, configured to determine a number of errors of the at least one clutch based on the rotation speed difference;

The sending module is used to send a fault warning to the corresponding terminal device when it is determined that the number of errors of any of the clutches is greater than or equal to a threshold number of errors within the preset period.

An embodiment of the present invention further provides a clutch fault prediction device on the cloud, comprising: a processor, a memory, and a communication bus;

The communication bus is used to realize the communication connection between the processor and the memory;

The processor is used to execute the computer program stored in the memory to implement the above method.

An embodiment of the present invention provides a storage medium storing executable instructions for implementing the above method when executed by a processor.

An embodiment of the present invention further provides a computer program product, including a computer program or instructions, and when the computer program or instructions are executed by a processor, the above method is implemented.

Beneficial effects of the present invention:

(1) The cloud computing equipment is used to periodically capture the cloud data. The total number of errors of any clutch accumulated within the period is determined to be greater than the preset error threshold to determine whether the working clutch is in a sub-healthy state and whether it has a tendency to fail, which can effectively avoid after-sales failures.

(2) The push notification can be sent through a terminal that communicates with the vehicle equipped with the clutch, which can avoid the difficulty of transmitting information with the existing fault light identification, prevent the user from discovering the abnormality in time, and improve the user's driving experience.

(3) The computing methods of cloud big data have greatly improved computing efficiency, freed up the computing power resources required for conventional fault diagnosis methods of the transmission control unit, and reduced hardware costs.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG1 is a schematic flow chart of a clutch fault prediction method provided by an embodiment of the present invention;

FIG2 is a schematic diagram of a flow chart of determining the number of clutch errors provided by an embodiment of the present invention;

FIG3 is a schematic diagram of a clutch state spectrum provided by an embodiment of the present invention;

FIG4 is a flow chart of cloud-based fault prediction of a clutch provided by an embodiment of the present invention;

FIG5 is a flow chart of cloud-based fault prediction of a clutch provided by an embodiment of the present invention;

FIG6 is a schematic structural diagram of a clutch fault prediction device provided by an embodiment of the present invention;

FIG. 7 is a schematic structural diagram of a cloud-based clutch fault prediction device provided in an embodiment of the present invention.

DETAILED DESCRIPTION

The following will describe the embodiments of the present invention with reference to the accompanying drawings and preferred embodiments. Those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present invention. It should be understood that the preferred embodiments are only for illustrating the present invention, not for limiting the scope of protection of the present invention.

An embodiment of the present invention provides a dual clutch transmission (DCT), including two inner and outer clutches, two input shafts, and four shift forks; the two clutch input ends are connected to a dual mass flywheel or a shock absorber, and the rotation speed of the two clutch input ends is the same as the engine rotation speed; the outer clutch output end is connected to the inner input shaft, and the inner clutch output end is connected to the outer input shaft; the DCT is provided with a speed sensor for real-time detection of the rotation speeds of the inner input shaft and the outer input shaft, a displacement sensor for real-time detection of the shift fork position, and a pressure sensor for real-time monitoring of the clutch execution pressure.

The present invention provides a clutch fault prediction method, which is implemented by a clutch fault prediction device on the cloud, as shown in FIG1 , and includes the following steps S110 to S130:

Step S110, obtaining driving data information within a preset period;

During implementation, the execution subject of the clutch fault prediction method can be a clutch fault prediction device on the cloud that can establish wireless communication with the vehicle carrying the clutch. The clutch fault prediction device on the cloud can pre-set a preset period for obtaining driving data information. For example, the cloud data calculation period can be set to 72 hours (h), and the acquisition of form data information and calculation process can be automatically triggered every 72 hours.

Here, the driving data information is the data recorded by the vehicle during driving. For example, the speed sensor can be used to obtain the speed of the inner input shaft and the speed of the outer input shaft; the displacement sensor can be used to determine the position of the shift fork, and further determine the clutch engagement based on the shift fork position; and the pressure sensor can be used to obtain the clutch pressure signal.

Step S120, determining a speed difference between an engine speed and an input shaft speed of at least one clutch in a power shift event based on the driving data information;

During implementation, at least one engagement state of at least one clutch may be determined within a preset period, and whether there is a clutch matching error may be determined based on the matching degree between the engine speed and the input shaft speed when the clutch is in the engagement state. For example, when each outer clutch is determined to be engaged, it may be determined whether the engine speed and the inner input shaft speed match to determine whether the number of errors is accumulated at that time.

Step S130, determining the number of errors of the at least one clutch based on the speed difference;

During implementation, the number of errors of at least one clutch can be determined based on the speed difference in a preset period. For example, the number of errors accumulated by the inner clutch and the number of errors accumulated by the outer clutch within 72 hours can be determined in sequence.

Step S140: When it is determined that the number of errors of any of the clutches is greater than or equal to the error number threshold within the preset period, a fault warning is sent to the corresponding terminal device.

Here, the error count threshold can be set according to actual needs. For example, the error count threshold can be set to 5 times. When the number of errors of the same clutch reaches the threshold ErrorSlip ≥ the error count threshold within a cycle, the fault prediction flag is set to 1 during cloud computing.

During the implementation process, if it is determined that the number of errors of any clutch is greater than or equal to the error number threshold within the preset period, it can be determined that the clutch is at risk of failure. The fault prediction flag is set to 1 during cloud computing, and a fault warning can be sent to the corresponding terminal device to prompt the customer to optimize the shifting performance.

For example, if the number of inner clutch errors has not reached the error number threshold, and the number of outer clutch errors has reached the error number threshold, the fault prediction flag Issue_pre=1 is set, and a fault warning of the outer clutch is reported.

If the number of errors of the outer clutch has not reached the error number threshold, and the number of errors of the inner clutch has reached the error number threshold, the fault prediction flag Issue_pre=1 is set, and a fault warning of the inner clutch is reported.

If the number of errors of the two clutches (inner clutch and outer clutch) has reached the error number threshold within a preset period, the fault prediction flag Issue_pre=1 is set, and a simultaneous fault warning of the inner clutch and the outer clutch is reported.

For another example, when it is determined that the cumulative number of errors of the external clutch is greater than 5 times within 72 hours, a clutch fault warning is sent to a user terminal (electronic product such as a mobile phone or tablet computer) that communicates with the vehicle carrying the clutch, so that the clutch fault warning is pushed to the user of the vehicle through a mobile phone application (Application, APP).

In the embodiment of the present invention, firstly, driving data information is acquired within a preset period; then, based on the driving data information, the speed difference between the engine speed and the input shaft speed in the power shift event is determined; based on the speed difference, the number of errors of at least one clutch is determined; finally, when it is determined that the number of errors of any of the clutches is greater than or equal to the error number threshold within the preset period, a fault warning is sent to the corresponding terminal device. In this way, by periodically capturing cloud data using a cloud computing device, whether the working clutch is in a sub-healthy state and whether it has a tendency to fail is determined by whether the total number of errors of any clutch accumulated based on the speed difference within the period is greater than the preset error number threshold, which can effectively avoid after-sales failures. Subsequently, a push prompt can be sent through a terminal communicating with a vehicle equipped with a clutch, which can avoid the difficulty of transmitting information from the existing fault light identification, avoid the user's delay in discovering abnormalities, and improve the user's driving experience. At the same time, the cloud big data computing means greatly improves the computing efficiency, liberates the computing power resources required by the conventional fault diagnosis means of the transmission control unit, and reduces the hardware cost.

In some embodiments, the driving data information includes a gear position signal, a shift state signal, a clutch pressure signal, an engine speed signal and at least one input shaft speed signal; wherein the shift state signal is determined based on the throttle opening, the vehicle speed, the gear position signal, the clutch pressure signal, the engine speed signal and the input shaft speed signal; the above step S120 "determining at least one speed difference between the engine speed and the input shaft speed in a power shift event based on the driving data information" is shown in FIG2 and can be implemented by the following steps:

Step S210, determining target analysis data combined with the clutch in the power shift event data based on the gear position signal, the shift state signal and the clutch pressure signal;

Here, the power shift event data is driving data information obtained when the clutch shifts.

During the implementation, the power shift event of the clutch can be determined based on the gear position signal, and then the engaged clutch in the power shift event can be determined; in the power shift event, at least one stage of the shift data can be determined based on the gear shift state signal, including the preparation phase stage 1, the torque phase stage 2, the speed phase stage 3 and the recovery phase stage 4; finally, the target analysis data corresponding to a stage can be obtained. For example, the clutch can be determined to switch from the 1st gear to the 2nd gear based on the gear position signal; then the engaged clutch in the power shift event can be determined; finally, the target analysis data of the engaged clutch corresponding to the torque phase can be determined based on the gear shift state signal.

Step S220: determining a speed difference between an engine speed and an input shaft speed in the power shift event based on the target analysis data of the engaged clutch.

During implementation, the target analysis data for determining the combined clutch can be used to determine the engine speed and the input shaft speed in the power shift event, and the speed difference can be determined based on the engine speed and the input shaft speed in the power shift event to determine whether the combined clutch is faulty based on the speed difference.

In the embodiment of the present invention, the target analysis data of the clutch in the power shift event data is first determined based on the gear position signal, the shift state signal and the clutch pressure signal; then the speed difference between the engine speed and the input shaft speed in the power shift event is determined based on the target analysis data of the clutch. In this way, it is possible to obtain the target analysis data of the clutch when the shift event is determined, and analyze the target analysis data of the clutch to determine the speed difference between the engine speed and the input shaft speed in the power shift event.

In some embodiments, the above step S210 "determining the target analysis data of the clutch in the power shift event data based on the gear position signal, the shift state signal and the clutch pressure signal" can be implemented by the following steps:

Step 211, determining the power shift event data of the clutch engagement based on the gear position signal and the clutch state map;

In the implementation process, it can be determined whether there is an operation of executing a gear shift based on the acquired gear position signal; in the case of determining that a gear shift operation is to be executed, the clutch engagement map in the gear shift operation is determined in combination with the clutch state map, wherein the clutch engagement map is a map for querying the clutch state during the gear shift process; finally, the power shift event data of the clutch engagement corresponding to the gear shift operation is determined. For example, the clutch engagement of the clutch switching from the 1st gear to the 2nd gear can be determined based on the gear position signal, and the power shift event data corresponding to the clutch engagement can be determined.

Step 212, determining torque phase data in the power shift event data based on the shift state signal;

Here, the shift state signal is determined based on the accelerator opening, the vehicle speed, the gear position signal, the clutch pressure signal, the engine speed signal, and the input shaft speed signal.

During implementation, the torque phase data may be determined based on the shift state signal.

Step 213: Determine the target analysis data in the torque phase data based on the clutch engagement pressure signal.

During implementation, a pressure sensor may be used to determine a pressure signal of the clutch engagement, and target analysis data may be determined in the torque phase data based on the pressure signal.

In the embodiment of the present invention, the power shift event data of the clutch engagement is first determined based on the gear position signal and the clutch state map; then the power shift event data is determined based on the gear position signal; and finally the target analysis data is determined in the torque phase data based on the clutch engagement pressure signal. In this way, the target analysis data for determining whether the clutch engagement is wrong can be determined in the power shift event data using the clutch state map.

In some embodiments, the above step 211 “determining the power shift event data of the coupled clutch based on the gear position signal and the clutch state map” can be implemented by the following steps:

Step 2111, determining at least one clutch state in at least one target power shift event based on the gear position signal and the clutch state map;

FIG3 is a schematic diagram of a clutch map provided by an embodiment of the present invention. As shown in FIG3 , the schematic diagram includes an upshift clutch action and a downshift clutch action. In the implementation process, the state of the clutch engagement can be determined based on the gear position signal and the clutch map shown in FIG3 . For example, when the gear shift from 1st gear to 2nd gear is determined based on the gear position signal, the state of the inner clutch can be determined to be engaged, and the state of the outer clutch can be determined to be disengaged.

Step 2112, determining an engaged clutch in the target power shift event based on at least one clutch state in the target power shift event;

In the implementation process, the engaged clutch can be determined based on the state of the clutch during the gear shifting process. For example, when shifting from 1st gear to 2nd gear, the state of the inner clutch is determined to be engaged, and the state of the outer clutch is determined to be disengaged. Then the engaged clutch can be determined to be the inner clutch.

Step 2113: Acquire the power shift event data of the clutch engagement.

After the engaged clutch is determined, the power shift event data corresponding to the engaged clutch may be obtained, for example, data such as the engine speed, input shaft speed, and engaged clutch pressure during the shifting process.

In the embodiment of the present invention, at least one clutch state in at least one target power shift event is first determined based on the gear position signal and the clutch state map; then, a coupled clutch in the target power shift event is determined based on at least one clutch state in the target power shift event; and finally, power shift event data of the coupled clutch is acquired. In this way, it is possible to determine the coupled clutch based on the clutch state and acquire the power shift event data of the coupled clutch.

In some embodiments, the above step 213 “determining the target analysis data in the torque phase data based on the pressure signal of the coupled clutch” can be implemented by the following steps:

Step 2131, obtaining a pressure value of a pressure signal of the engaging clutch in the torque phase data;

During implementation, a pressure sensor may be used to determine a pressure value of a pressure signal of the clutch engagement.

Step 2132: When it is determined that the pressure value of the pressure signal of the clutch engagement is greater than or equal to a pressure threshold, determine the target analysis data.

Here, the pressure threshold can be set according to actual needs. For example, the pressure threshold can be set to 230 centibars (cbar). In the implementation process, the target analysis data can be determined when it is determined that the clutch pressure value is greater than 230 cbar.

In the embodiment of the present invention, the pressure value of the pressure signal of the clutch engagement is first obtained in the torque phase data; then, when it is determined that the pressure value of the pressure signal of the clutch engagement is greater than or equal to a pressure threshold, the target analysis data is determined. In this way, the target analysis data for analyzing clutch engagement errors can be determined based on a preset pressure threshold.

In some embodiments, the target analysis data includes the maximum engine speed and the maximum clutch speed; the above step S220 "determining the speed difference between the engine speed and the input shaft speed in the power shift event based on the target analysis data of the clutch" can be achieved by the following steps:

Step 221, obtaining the maximum engine speed and the maximum clutch speed in the torque phase of the target power shift event;

During implementation, the maximum engine speed may be determined from a plurality of engine speeds in the target analysis data. Similarly, the maximum clutch speed may be determined from a plurality of speeds of input shafts corresponding to the clutch engagements.

Step 222: Subtract the maximum speed of the engine in the torque phase of the target power shift event from the maximum speed of the clutch to obtain a speed difference of the engaged clutch.

Here, the speed difference of the combined clutch is the speed difference between the front and rear ends of the combined clutch. In the implementation process, the speed difference of the combined clutch can be obtained by subtracting the maximum speed of the engine from the maximum speed of the clutch.

In an embodiment of the present invention, the maximum engine speed and the maximum clutch speed in the torque phase of the target power shift event are first obtained; then the maximum engine speed in the torque phase of the target power shift event is subtracted from the maximum clutch speed to obtain the speed difference of the engaged clutch; in this way, a speed difference for judging whether an error occurs in the clutch can be determined based on the maximum engine speed and the maximum clutch speed.

In some embodiments, the above step S130 "determining the number of errors of the at least one clutch based on the speed difference" can be implemented by the following steps:

Step 131: When it is determined that the speed difference is greater than or equal to the speed difference threshold, the number of errors corresponding to the clutch is increased by 1 to obtain an error accumulation result;

During implementation, the speed difference threshold can be set based on actual needs. For example, the speed difference threshold can be set to 300 revolutions per minute (rpm). When the vehicle performs a 1-to-2 power upshift event, in the torque phase, when the speed difference n2 _slip between the front and rear ends of the inner clutch is ≥300rpm, the number of errors of the inner clutch is added by 1 to obtain the accumulated error result of the inner clutch; when the vehicle performs a 2-to-3 power upshift event, in the torque phase, when the speed difference n1 _slip between the front and rear ends of the outer clutch is ≥300rpm, the number of errors of the outer clutch is added by 1 to obtain the accumulated error result of the outer clutch.

Step 132: Determine the number of errors of the at least one clutch within the preset period based on the error accumulation result corresponding to the at least one power shift event.

In a preset period, based on the accumulated results of the errors of the coupled clutches corresponding to the target power shift event, the number of errors of at least one clutch can be determined. Here, if the coupled clutch corresponding to each target power shift event is different, the coupled clutch corresponding to the accumulated errors can also be different. For example, the number of errors of the outer clutch in a preset period can be determined based on the power shift event corresponding to the outer clutch; the number of errors of the inner clutch in a preset period can be determined based on the power shift event corresponding to the inner clutch.

In the embodiment of the present invention, when it is determined that the speed difference is greater than or equal to the speed difference threshold, the number of clutch errors is increased by 1 to obtain an error accumulation result; based on the error accumulation result corresponding to at least one of the power shift events, the number of errors of the at least one clutch within the preset period is determined. In this way, based on the preset speed difference threshold, the maximum engine speed and the maximum clutch speed can be used to determine whether an error occurs in the clutch, and the number of errors of the at least one clutch within the preset period can be obtained by accumulating the number of errors.

In some embodiments, the above clutch fault prediction method further includes the following steps:

Step S140: when it is determined that the error times of all the clutches within the preset period are less than the error times threshold, the error times are cleared.

For example, if the error counts of both clutches (inner clutch and outer clutch) do not reach the error count threshold within a preset period, the error counts are reset to zero, and no fault information is reported within the period.

After the preset cycle ends and the next cycle starts, the fault prediction flag Issue_pre=0 is set again.

In the embodiment of the present invention, when it is determined that the number of errors of all the clutches is less than the error number threshold value within the preset period, the number of errors is cleared. In this way, when it is determined that all clutches have not reached the fault alarm condition within the preset period, the number of errors can be cleared in time, which can effectively avoid false alarms caused by the accumulation of the number of errors.

FIG4 is a flow chart of a clutch cloud fault prediction provided by an embodiment of the present invention. As shown in FIG4 , the flow chart includes the following steps:

Step S410: Capture cloud data;

During the implementation process, the cloud data calculation cycle can be pre-set. After the calculation cycle is triggered, the required signals in the cloud vehicle driving data are captured. The necessary data signals include engine speed, internal input shaft speed, external input shaft speed, gear shifting state signal of the transmission control unit, gear position signal, and clutch pressure signal. Among them, the gear shifting state signal of the transmission control unit is defined according to the throttle opening, vehicle speed, gear position signal, clutch pressure signal, engine speed signal, and input shaft speed signal.

Step S420, cleaning and filtering cloud data;

During the implementation process, the required power shift event data can be screened out according to the power shift state signal, gear position signal, and clutch pressure signal of the transmission control unit in the cloud data, and the clutch state can be determined according to the clutch map shown in Figure 3.

Step S430: cloud data calculation;

During implementation, when determining a certain gear shifting power event, if the speed difference between the front and rear ends of the clutch (maximum engine speed - maximum clutch speed) is greater than or equal to the speed difference threshold, and the clutch pressure is greater than or equal to the set pressure threshold, the clutch error count ErrorSlip is recorded plus 1.

When the number of clutch errors in a cycle reaches a threshold value ErrorSlip that is greater than or equal to the error number threshold value, the fault prediction flag is set to 1 during cloud computing.

Step S440: Pushing fault prediction information.

If the clutch error count does not reach the threshold, the error count is cleared.

In the embodiment of the present invention, the cloud data is periodically calculated and judged, the target shifting condition data is screened and cleaned, and the cloud is used to calculate whether the clutch is in a sub-healthy state. If it is determined that there is a clutch fault warning, the user can be prompted through the mobile phone APP and the phenomenon can be explained. The user can perform professional maintenance after sales based on this fault prediction. The invention can predict possible faults in advance, reduce the after-sales failure rate, improve user experience, and reduce after-sales costs.

The present embodiment provides a dual-clutch cloud-based fault prediction method for a DCT transmission, which is used to identify the sub-healthy state of the DCT transmission clutch and predict faults, thereby preventing faults from occurring and causing after-sales problems.

For example, the DCT comprises an outer clutch C1, an inner clutch C2, an outer input shaft Shaft1, an inner input shaft Shaft2, and four shift forks; the two clutch input ends are connected to a dual-mass flywheel or a shock absorber, and the rotation speed of the two clutch input ends is the same as the engine rotation speed; the outer clutch output end is connected to the inner input shaft, and the inner clutch output end is connected to the outer input shaft; the DCT is provided with a rotation speed sensor for real-time detection of the rotation speeds of the inner input shaft and the outer input shaft, a displacement sensor for real-time detection of the positions of the four shift forks, and a pressure sensor for real-time monitoring of the clutch execution pressure;

FIG5 is a flow chart of a clutch cloud fault prediction provided by an embodiment of the present invention. As shown in FIG5 , the flow chart includes the following steps:

Step S501, the calculation cycle starts;

During the implementation process, the cloud data calculation cycle can be pre-set. For example, the cloud data calculation cycle can be set to 72 hours, and the calculation process is automatically triggered every 72 hours.

Step S502, capturing data in the cloud within a period;

After triggering the calculation cycle, the required signals in the cloud vehicle driving data are captured. The necessary data signals include engine speed, internal input shaft speed, external input shaft speed, gearbox control unit shift status signal, gear position signal, and clutch pressure signal.

For example, when the DCT fault prediction algorithm cycle is started or every 72 hours (set period), the necessary data signals from the required vehicle driving data in the cloud are captured.

Step S503, filtering cloud data according to the TCU shift status signal;

During the implementation process, the required power shift event data can be screened out according to the power shift state signal, gear position signal, and clutch pressure signal of the transmission control unit, and non-shift and invalid shift data can be removed. According to the clutch state map shown in Figure 3, the clutch engagement and disengagement state can be determined, and the engagement clutch data can be calculated.

Here, the shifting state signal of the transmission control unit can be determined according to the throttle opening, vehicle speed, gear signal, clutch pressure signal, engine speed signal, and input shaft speed signal for data screening and cleaning.

Step S504, the cloud fault prediction flag position is 0;

Step S505, checking whether the speed difference between the engine speed and the shaft speed of the current gear is greater than the speed difference threshold during the power shift torque phase;

Determine the clutch state and calculate the speed difference between the front and rear ends of the clutch. When the speed difference between the front and rear ends of the clutch (engine maximum speed - clutch maximum speed) ≥ the speed difference threshold in a certain event, and the clutch pressure ≥ the set pressure threshold at this time, execute step S507 or step S508 to record the clutch error number ErrorSlip+1.

For example, in the cloud historical data, the vehicle performs a 1-to-2 power upshift event, in the torque phase, when the speed difference between the front and rear ends of the inner clutch n2 _slip ≥300rpm, and the clutch pressure ≥230cbar at this time, then step S508 is executed and the total number of errors Cl2ErrorSlip of the inner clutch is increased by 1. If the speed difference between the front and rear ends of the inner clutch n2 _slip <300rpm, then 1 is not increased.

When the vehicle performs a 2-to-3 power upshift event, in the torque phase, the speed difference between the front and rear ends of the outer clutch n1 _slip ≥300rpm, and the clutch pressure is ≥280cbar at this time, step S507 is executed to record the total number of errors Cl1ErrorSlip of the outer clutch plus 1. If the speed difference between the front and rear ends of the outer clutch n1 _slip <300rpm, no 1 is added.

n1 _slip =n _{Engine_max} -n _shaft1 (1);

n2 _slip =n _{Engine_max} -n _shaft2 (2);

Among them, n1 _slip is the speed difference between the front and rear ends of the outer clutch; n2 _slip is the speed difference between the front and rear ends of the inner clutch; n is the maximum speed of the engine in this event area; n _shaft1 is the maximum speed of the inner input shaft in this event area; n _shaft2 is the maximum speed of the outer input shaft in this event area.

Step S506, distinguishing the inner and outer clutches;

If it is determined to be an outer clutch, execute step S507; if it is determined to be an inner clutch, execute step S508.

Step S507, the number of external clutch errors is increased by 1;

Step S508, the number of inner clutch errors is increased by 1;

Step S509: Whether the total number of external clutch errors is greater than or equal to the error number threshold;

When the number of errors of the same clutch reaches the threshold ErrorSlip ≥ the error number threshold within a cycle, the fault prediction flag is set to 1 during cloud computing.

For example, when the number of errors Cl1ErrorSlip of the external clutch reaches ≥5 in a cycle, step S511 is executed to set the fault prediction flag Issue_pre to 1 in the cloud computing.

Step S510: Whether the total number of inner clutch errors is greater than or equal to the error number threshold;

For example, when the number of errors Cl2ErrorSlip of the inner clutch reaches ≥5 in a cycle, step S511 is executed to set the fault prediction flag Issue_pre to 1 in the cloud computing.

Step S511, cloud fault prediction flag position 1;

If the number of outer clutch errors does not reach the error number threshold, and the number of inner clutch errors reaches the error number threshold, the cloud fault prediction flag position is 1, and a fault warning of the inner clutch is reported.

If the number of inner clutch errors does not reach the error number threshold, and the number of outer clutch errors reaches the error number threshold, the cloud fault prediction flag position is 1, and a fault warning of the outer clutch is reported.

If the number of errors of both clutches (inner clutch and outer clutch) reaches the error number threshold, the cloud fault prediction flag position is 1, and the fault warning of the outer clutch and the inner clutch is reported.

If the error times of both clutches (inner clutch and outer clutch) do not reach the error times threshold, the error times are reset to zero, and step S504 is executed with the fault prediction flag Issue_pre = 0. No fault information is reported in this cycle.

At the end of the periodic data processing, the fault prediction flag Issue_pre=0 is set.

Step S512: Prompt the customer to optimize the gear shifting performance.

When the fault prediction flag Issue_pre=1, information is pushed through the customer APP to prompt the customer to optimize the vehicle's shifting performance and invite the customer to perform professional maintenance.

In the embodiment of the present invention, a cloud computing device is used to periodically capture cloud data, and based on the cloud data, the vehicle driving data is quickly screened to calculate the actual performance of the dual clutch under sensitive working conditions. Whether the total number of accumulated erroneous flying times within the period is greater than a preset error number threshold is determined to determine whether the working clutch is in a sub-healthy state and whether it has a tendency to fail, which can effectively avoid after-sales failures. Subsequently, push prompts through the mobile phone APP can avoid the difficulty of transmitting information from the existing fault light logo, avoid users from discovering abnormalities in a timely manner, and improve users' driving experience. At the same time, the calculation method of cloud big data greatly improves the calculation efficiency, liberates the computing power resources required for the conventional fault diagnosis method of the transmission control unit, and reduces hardware costs.

The embodiment of the present invention provides a clutch fault prediction device 600, as shown in FIG6 , comprising:

An acquisition module 610 is used to acquire driving data information within a preset period;

A first determination module 620, configured to determine a speed difference between an engine speed and an input shaft speed of at least one clutch in a power shift event based on the driving data information;

A second determination module 630, configured to determine a number of errors of the at least one clutch based on the rotation speed difference;

The sending module 640 is used to send a fault warning to the corresponding terminal device when it is determined that the number of errors of any of the clutches is greater than or equal to a threshold number of errors within the preset period.

In one embodiment of the present invention, the driving data information includes a gear signal, a shift status signal, a clutch pressure signal, an engine speed signal and at least one input shaft speed signal; wherein the shift status signal is determined based on the throttle opening, the vehicle speed, the gear signal, the clutch pressure signal, the engine speed signal and the input shaft speed signal; the first determination module 620 includes a first determination submodule and a second determination submodule, wherein the first determination submodule is used to determine the target analysis data of the combined clutch in the power shift event data based on the gear signal, the shift status signal and the clutch pressure signal; the second determination submodule is used to determine the speed difference between the engine speed and the input shaft speed in the power shift event based on the target analysis data of the combined clutch.

In one embodiment of the present invention, the first determination submodule includes a first determination unit, a second determination unit and a third determination unit, wherein the first determination unit is used to determine the power shift event data of the combined clutch based on the gear position signal and the clutch state map; the second determination unit is used to determine the torque phase stage data in the power shift event data based on the shift state signal; and the third determination unit is used to determine the target analysis data in the torque phase stage data based on the pressure signal of the combined clutch.

In one embodiment of the present invention, the first determination unit includes a first determination subunit, a second determination subunit and a first acquisition subunit, wherein the first determination subunit is used to determine at least one clutch state in at least one target power shift event based on the gear signal and the clutch state map; the second determination subunit is used to determine the engaged clutch in the target power shift event based on at least one clutch state in the target power shift event; and the first acquisition subunit is used to acquire power shift event data of the engaged clutch.

In one embodiment of the present invention, the third determination unit includes a second acquisition subunit and a third determination subunit, wherein the second acquisition subunit is used to obtain the pressure value of the pressure signal of the coupled clutch in the torque phase data; and the third determination subunit is used to determine the target analysis data when it is determined that the pressure value of the pressure signal of the coupled clutch is greater than or equal to a pressure threshold.

In one embodiment of the present invention, the target analysis data includes the maximum engine speed and the maximum clutch speed; the second determination submodule includes an acquisition unit and a subtraction unit, wherein the acquisition unit is used to acquire the maximum engine speed and the maximum clutch speed of the combined clutch in the torque phase in the target power shift event; the subtraction unit is used to subtract the maximum engine speed of the combined clutch in the torque phase from the maximum clutch speed to obtain the speed difference of the combined clutch.

In one embodiment of the present invention, the second determination module includes an accumulation submodule and a third determination submodule, wherein the accumulation submodule is used to determine that when the speed difference of the clutch is greater than or equal to the speed difference threshold, the number of errors corresponding to the clutch is increased by 1 to obtain an error accumulation result; the third determination submodule is used to determine the number of errors of the at least one clutch within the preset period based on the error accumulation result corresponding to at least one of the power shift events.

In an embodiment of the present invention, the clutch fault prediction device further comprises a clearing module for clearing the error times to zero when it is determined that the error times of all the clutches are less than the error times threshold value within the preset period.

An embodiment of the present invention provides a clutch fault prediction device on the cloud. As shown in FIG7 , the clutch fault prediction device on the cloud includes: a first processor 701 , a first memory 702 , and a first communication bus 703 ;

A first communication bus 703, used to implement a communication connection between the first processor 701 and the first memory 702;

The first processor 701 is used to execute the computer program stored in the first memory 702 to implement the clutch fault prediction method.

An embodiment of the present invention provides a computer-readable storage medium, characterized in that the computer-readable storage medium stores one or more computer programs, and the one or more computer programs can be executed by one or more processors to implement the above-mentioned clutch fault prediction method. The computer-readable storage medium can be a volatile memory (volatile memory), such as a random access memory (Random-Access Memory, RAM); or a non-volatile memory (non-volatile memory), such as a read-only memory (Read-Only Memory, ROM), a flash memory (flash memory), a hard disk (Hard Disk Drive, HDD) or a solid-state drive (SSD); or it can be a respective device including one or any combination of the above-mentioned memories, such as a mobile phone, a computer, a tablet device, a personal digital assistant, etc.

Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of hardware embodiments, software embodiments, or embodiments combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) containing computer-usable program codes.

The present invention is described with reference to the flowchart and/or block diagram of the method, device (system), and computer program product according to the embodiment of the present invention. It should be understood that each process and/or box in the flowchart and/or block diagram, as well as the combination of the process and/or box in the flowchart and/or block diagram can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device produce a device for implementing the functions specified in one or more processes in the flowchart and/or one or more boxes in the block diagram.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including an instruction device that implements the functions specified in one or more processes in the flowchart and/or one or more boxes in the block diagram.

These computer program instructions may also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, whereby the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one or more processes in the flowchart and/or one or more boxes in the block diagram.

The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed by the present invention should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims (10)

1.A method of predicting a failure of a clutch, the method comprising:

Acquiring driving data information in a preset period;

Determining a speed differential of an engine speed and an input shaft speed of at least one clutch during a power shift event based on the travel data information;

determining a number of errors of the at least one clutch based on the rotational speed difference;

And under the condition that the error times of any clutch is larger than or equal to an error times threshold value in the preset period, sending fault early warning to corresponding terminal equipment.

2. The fault prediction method of claim 1, wherein the travel data information includes a gear signal, a shift state signal, a clutch pressure signal, an engine speed signal, and at least one input shaft speed signal; wherein the shift state signal is determined based on an accelerator opening, a vehicle speed, the gear signal, the clutch pressure signal, the engine speed signal, and the input shaft speed signal;

the determining a rotational speed difference of the engine rotational speed and the input shaft rotational speed of the at least one clutch during a power shift event based on the travel data information includes:

determining target analysis data of a combined clutch in power shift event data based on the gear signal, the shift state signal and the clutch pressure signal;

A speed differential of an engine speed and an input shaft speed during the powershift event is determined based on the target analysis data for the coupling clutch.

3. The method of claim 2, wherein the determining target analysis data for a coupling clutch in powershift event data based on the gear signal, the shift state signal, and the clutch pressure signal comprises:

determining power shift event data for the bound clutch based on the gear signal and a clutch state map;

determining torque phase data in the power shift event data based on the shift state signal;

The target analysis data is determined in the torque phase data based on the pressure signal of the coupling clutch.

4. A method of predicting a failure as set forth in claim 3, wherein said determining power shift event data for said incorporated clutch based on said gear signal and clutch state map includes:

Determining at least one clutch state in at least one target power shift event based on the gear signal and the clutch state map;

determining a bound clutch in the target power shift event based on at least one clutch state in the target power shift event;

and acquiring power shift event data of the combined clutch.

5. The fault prediction method as set forth in claim 3, wherein said determining said target analysis data in said torque phase data based on said clutch-to-clutch pressure signal includes:

acquiring a pressure value of a pressure signal of the combined clutch in the torque phase stage data;

and determining the target analysis data under the condition that the pressure value of the pressure signal of the combined clutch is larger than or equal to a pressure threshold value.

6. The fault prediction method as claimed in claim 2, wherein the target analysis data includes an engine maximum speed and a clutch maximum speed; the determining a speed difference between an engine speed and an input shaft speed during the power shift event based on the target analysis data for the coupling clutch includes:

Obtaining the maximum engine speed and the maximum clutch speed of the combined clutch in a torque phase stage in the target power shift event;

And subtracting the maximum engine speed of the combined clutch in the torque phase stage from the maximum clutch speed to obtain the speed difference of the combined clutch.

7. The failure prediction method according to any one of claims 1 to 6, characterized in that the determining the number of errors of the at least one clutch based on the rotational speed difference includes:

Under the condition that the rotating speed difference is larger than or equal to the speed difference threshold value, adding 1 to the error times corresponding to the clutch to obtain an error accumulation result;

And determining the error times of the at least one clutch in the preset period based on the error accumulation result corresponding to the at least one power shift event.

8. A failure prediction apparatus of a clutch, comprising:

the acquisition module is used for acquiring the driving data information in a preset period;

A first determination module for determining a speed difference of an engine speed and an input shaft speed of at least one clutch in a power shift event based on the travel data information;

a second determination module for determining a number of errors of the at least one clutch based on the rotational speed difference;

And the sending module is used for sending fault early warning to corresponding terminal equipment under the condition that the error times of any clutch is more than or equal to the error times threshold value in the preset period.

9. A failure prediction apparatus for a clutch on a cloud, comprising: a processor, a memory, and a communication bus;

The communication bus is used for realizing communication connection between the processor and the memory;

The processor for executing a computer program stored in the memory for implementing the method of any one of claims 1 to 7.

10. A computer program product comprising a computer program or instructions which, when executed by a processor, implements the method of any one of claims 1 to 7.