CN109782747B - Fault detection method and device - Google Patents
Fault detection method and device Download PDFInfo
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Abstract
The embodiment of the application provides a fault detection method and device, which are used for carrying out validity detection on fault information sent by a control subunit and recording the fault information passing the validity detection. Meanwhile, the hard wire signal with the effective zone bit in the failure state is identified by monitoring the effective zone bit of the received hard wire signal, and corresponding fault information is obtained. Furthermore, self-detection fault information is determined by self-detecting each part in the hybrid electric vehicle. And finally, classifying and grading the fault information under the three conditions to obtain the fault grade of the whole vehicle mode and the fault grade of the power mode. Therefore, the method can synchronously realize the validity detection of the fault information of the control subunit, the effective zone bit detection of the hard wire signal and the self-detection of the parts, realize the fault diagnosis under different conditions, and synthesize the fault information under various conditions to determine the faults of the whole vehicle, thereby realizing the comprehensiveness of the fault detection of the hybrid electric vehicle and improving the safety.
Description
Technical Field
The invention relates to the technical field of hybrid electric vehicles, in particular to a fault detection method and a fault detection device.
Background
With the improvement of the requirements for low-carbon life and environmental protection, the development of hybrid electric vehicles is mature day by day and is widely applied at home and abroad. The number of parts and sensing equipment in the hybrid electric vehicle is large, and the parts and the sensing equipment are distributed in the hybrid electric vehicle to monitor the running state information of the hybrid electric vehicle in real time. For the operating state of the hybrid vehicle, safety is put in the first place. How to accurately determine whether each subsystem of the hybrid electric vehicle has a fault and determine the whole vehicle fault condition of the hybrid electric vehicle has great significance for the safe operation of the hybrid electric vehicle.
Disclosure of Invention
In view of the above, the present application provides a method and an apparatus for fault detection to improve the above problem.
The embodiment of the application provides a fault detection method, which is applied to a vehicle control unit in a hybrid electric vehicle, wherein the vehicle control unit is connected with each control subunit in the hybrid electric vehicle, and the method comprises the following steps:
when the fault information sent by the control subunit is received, carrying out validity detection on the received fault information, and recording the fault information passing the validity detection;
monitoring the validity flag bit of each received hard wire signal, identifying the hard wire signal with the valid flag bit in a failure state, and obtaining fault information corresponding to the hard wire signal according to the preset important level of the hard wire signal in the failure state;
self-detecting each part in the hybrid electric vehicle to determine self-detection fault information;
and classifying and grading the fault information detected by effectiveness, the fault information corresponding to the hard wire signal in the failure state and the self-detection fault information, and determining the current finished automobile mode fault grade and the current power mode fault grade according to the classification and grading results.
Optionally, the method further comprises:
after the current finished automobile mode fault level and the current power mode fault level are determined, a first processing strategy corresponding to the current finished automobile mode fault level and a second processing strategy corresponding to the current power mode fault level are obtained according to the preset relation between different fault levels and different processing strategies;
and correspondingly controlling the corresponding control subunits in the hybrid electric vehicle according to the obtained first processing strategy and the second processing strategy.
Optionally, the performing validity detection on the received fault information, and the step of recording the fault information that passes the validity detection includes:
detecting whether the duration of the received fault information exceeds a preset duration or not, and whether the fault information does not jump within the preset duration or not;
if the duration of the fault information exceeds the preset duration and no jump occurs within the preset duration, detecting whether the power state of a control subunit sending the fault information is effective;
if the power state of the control subunit sending the fault information is valid, detecting whether the ID of the message carrying the fault information is a valid ID;
and if the ID of the message carrying the fault information is the effective ID, determining that the fault information passes the effectiveness detection, and recording the fault information passing the effectiveness detection.
Optionally, the step of classifying and classifying the fault information detected by validity, the fault information corresponding to the hard-line signal in the failure state, and the self-detection fault information includes:
acquiring a control subunit corresponding to the fault information detected through effectiveness, and determining the fault level of each subsystem of the hybrid electric vehicle according to the subsystem to which the control subunit belongs and the subsystem to which the hard wire signal in the failure state belongs;
and determining the relevant fault grade of the whole hybrid electric vehicle according to the self-detection fault information.
Optionally, the step of determining the current vehicle mode fault level and the current power mode fault level according to the classification and classification results includes:
acquiring fault levels of all subsystems and the highest fault level in the relevant fault levels of the whole vehicle, and taking the highest fault level as the current fault level of the whole vehicle mode;
and grading and arranging and combining the fault grades of all the subsystems and the fault grades related to the whole vehicle according to a preset rule to obtain the current power mode fault grade.
Optionally, the method further includes a step of performing a clearing process on the fault information, where the step includes one of:
when an input clearing instruction is received, carrying out online clearing processing on the fault information;
when the power is off and the power is on again, the fault information before the power is off last time is cleared.
Optionally, the step of self-testing each component in the hybrid vehicle to determine self-test fault information includes:
acquiring current actual operation information of each part in the hybrid electric vehicle, and comparing the current actual operation information of the part with the received state information corresponding to the part;
and if the current actual operation information of the part is inconsistent with the state information, determining that a work uncoordinated fault exists so as to obtain self-detection fault information.
The embodiment of the present application further provides a fault detection device, which is applied to a vehicle control unit in a hybrid electric vehicle, the vehicle control unit is connected with each control subunit in the hybrid electric vehicle, and the device includes:
the first detection module is used for carrying out validity detection on the received fault information and recording the fault information passing the validity detection when the fault information sent by the control subunit is received;
the monitoring module is used for monitoring the validity flag bit of each received hard wire signal, identifying the hard wire signal with the valid flag bit in a failure state, and obtaining corresponding fault information according to the preset important level of the hard wire signal in the failure state;
the second detection module is used for carrying out self-detection on each part in the hybrid electric vehicle so as to determine self-detection fault information;
the classification module is used for classifying and grading the fault information detected by effectiveness, the fault information corresponding to the hard wire signal in the failure state and the self-detection fault information;
and the determining module is used for determining the current finished automobile mode fault level and the current power mode fault level according to the classification and grading results.
Optionally, the apparatus further comprises:
the processing strategy acquisition module is used for acquiring a first processing strategy corresponding to the current finished automobile mode fault grade and a second processing strategy corresponding to the current power mode fault grade according to the preset relation between different fault grades and different processing strategies after determining the current finished automobile mode fault grade and the current power mode fault grade;
and the control module is used for correspondingly controlling the corresponding control subunits in the hybrid electric vehicle according to the obtained first processing strategy and the second processing strategy.
Optionally, the first detecting module is configured to perform validity detection on the received fault information in the following manner:
detecting whether the duration of the received fault information exceeds a preset duration or not, and whether the fault information does not jump within the preset duration or not;
if the duration of the fault information exceeds the preset duration and no jump occurs within the preset duration, detecting whether the power state of a control subunit sending the fault information is effective;
if the power state of the control subunit sending the fault information is valid, detecting whether the ID of the message carrying the fault information is a valid ID;
and if the ID of the message carrying the fault information is the effective ID, determining that the fault information passes the effectiveness detection, and recording the fault information passing the effectiveness detection.
The fault detection method and the fault detection device provided by the embodiment of the application carry out validity detection on the fault information sent by the control subunit, and record the fault information passing the validity detection. Meanwhile, the hard wire signal with the effective zone bit in the failure state is identified by monitoring the effective zone bit of the received hard wire signal, and corresponding fault information is obtained. Furthermore, self-detection fault information is determined by self-detecting each part in the hybrid electric vehicle. And finally, classifying and grading the fault information under the three conditions to obtain the fault grade of the whole vehicle mode and the fault grade of the power mode. Therefore, the method can synchronously realize the validity detection of the fault information of the control subunit, the effective zone bit detection of the hard wire signal and the self-detection of the parts, realize the fault diagnosis under different conditions, and synthesize the fault information under various conditions to determine the faults of the whole vehicle, thereby realizing the comprehensiveness of the fault detection of the hybrid electric vehicle and improving the safety.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a schematic view of an application scenario of a fault detection method provided in an embodiment of the present application.
Fig. 2 is a flowchart of a fault detection method according to an embodiment of the present disclosure.
Fig. 3 is a flowchart of an effectiveness detection method according to an embodiment of the present application.
Fig. 4 is a second flowchart of a fault detection method according to an embodiment of the present application.
Fig. 5 is a third flowchart of a fault detection method according to an embodiment of the present application.
Fig. 6 is one of functional block diagrams of a fault detection apparatus according to an embodiment of the present application.
Fig. 7 is a second functional block diagram of a fault detection apparatus according to an embodiment of the present application.
Icon: 600-fault detection means; 601-a first detection module; 602-a monitoring module; 603-a second detection module; 604-a classification module; 605-a determination module; 606-processing policy acquisition module; 607-control module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
Fig. 1 is a schematic view of an application scenario of the fault detection method according to the embodiment of the present application. The fault detection method is applied to a vehicle control unit in a hybrid electric vehicle, and the vehicle control unit is connected with a plurality of control subunits in the hybrid electric vehicle, such as an electric compressor, an electric steering system, a clutch controller, a battery management system, a vehicle-mounted charger, a motor controller, an engine controller, a power converter and the like. The control subunits are distributed in the hybrid electric vehicle so as to monitor the state information of the hybrid electric vehicle in real time. The control subunit and the vehicle controller CAN interact data and information through a vehicle CAN bus. The CAN bus has the advantage of more connecting nodes and CAN be simultaneously connected with a plurality of unit nodes.
Each control subunit CAN send information to the whole vehicle controller through the CAN bus. The vehicle control unit can analyze and process the received information to determine whether the hybrid electric vehicle has a fault and the specific condition of the fault. In addition, the hybrid vehicle includes a plurality of components, such as an accelerator pedal, a brake pedal, and the like, and the vehicle control unit may perform self-detection by collecting actual operation information of each component.
With reference to fig. 2, an embodiment of the present application further provides a fault detection method applicable to the vehicle control unit. The method steps defined by the flow related to the method may be implemented by the vehicle control unit. The specific process shown in fig. 2 will be described in detail below.
And step 210, when the fault information sent by the control subunit is received, performing validity detection on the received fault information, and recording the fault information passing the validity detection.
And step 220, monitoring the validity flag bit of each received hard wire signal, identifying the hard wire signal with the valid flag bit in a failure state, and obtaining the fault information corresponding to the hard wire signal according to the preset important level of the hard wire signal in the failure state.
And step 230, performing self-detection on each part in the hybrid electric vehicle to determine self-detection fault information.
And 240, classifying and grading the fault information detected through effectiveness, the fault information corresponding to the hard wire signal in the failure state and the self-detection fault information, and determining the current finished automobile mode fault grade and the current power mode fault grade according to the classification and grading results.
When the vehicle fault of the hybrid electric vehicle is judged, in the prior art, the vehicle controller receives fault information reported by each control subunit to judge. However, currently, when the vehicle controller receives the fault information sent by each control subunit, only a simple comparison of the level is performed to determine the fault level of the vehicle, and the received fault information is not analyzed to detect whether the fault information is valid, so that the fault level may be interfered by invalid information, and the judgment of the fault level is further affected.
In this embodiment, when the vehicle control unit receives the fault information sent by any one of the control subunits, the effectiveness detection is performed on the received fault information to obtain the fault information passing the effectiveness detection.
Referring to fig. 3, in the present embodiment, the validity detection of the fault information can be implemented through the following processes:
In this embodiment, the vehicle control unit calculates whether the duration of the fault information exceeds a preset duration for the received fault information sent by each control subunit, where the preset duration may be 5s, 10s, and the like. If the duration of the received fault information is short, for example, shorter than a preset duration, it indicates that the fault information is not stable enough to be used as a basis for subsequent vehicle fault determination.
In addition, in this embodiment, if the duration of the received fault information exceeds the preset duration, it is further required to detect whether the fault level in the received fault information has not hopped. For example, whether the fault level carried in the received fault information sent by a certain control subunit jumps from fault level 1 to fault level 2 occurs. If the fault level in the received fault information changes, the fault information is determined to be unstable.
In addition, it is also necessary to detect whether the power state of the control subunit that transmits the failure information is valid, and if the power state of the control subunit that transmits the failure information is in an invalid state, it is determined that the failure information is invalid.
In this embodiment, the fault information is carried in a corresponding message, and the fault level is carried in an ID of the message. If the duration of the received fault information exceeds the preset duration, the fault level contained in the fault information is not changed, and the power state of the corresponding control subunit is an effective state, it is further required to detect whether the ID of the message carrying the fault information is an effective ID. For the specific process of detecting the validity of the message ID, reference may be made to a common method in the prior art, which is not described herein again.
If the ID of the message carrying the fault information is detected to be a valid ID, it can be determined that the validity detection of the received fault information is passed.
In addition, in this embodiment, the vehicle control unit further needs to detect whether the vehicle control unit is in a power-on starting state at the time of receiving the fault information sent by the control subunit. That is, if the vehicle control unit is not in the power-on starting state, it is indicated that the vehicle control unit cannot analyze and process the received fault information. Therefore, the detection of the validity of the fault information can be realized only when the vehicle control unit is in the power-on starting state.
In this embodiment, the vehicle control unit may further synchronously monitor the validity flag bits of the hard-wired signals connected to the control subunits in real time to obtain the hard-wired signals in the failure state, so as to determine the fault information represented by the hard-wired signals sent from the bottom layer. The hard-line signal comprises a digital signal and an analog signal, and for the digital signal, the vehicle control unit can judge whether the digital signal is effective or not by obtaining whether the vehicle control unit has a flag bit representing the states of short circuit, open circuit or open circuit. For the analog signal, the vehicle control unit can judge whether the analog signal is effective or not by obtaining a flag bit indicating whether the voltage value range is too high or too low.
The vehicle control unit can obtain the hard wire signal in the failure state, and determine the fault information corresponding to the hard wire signal in the failure state according to the preset importance degree of each hard signal.
In addition, in consideration of the possibility of vehicle failure caused by no failure of each control subunit but uncoordinated operation between the control subunits, in the embodiment, the vehicle control unit may also perform self-detection on each component in the hybrid vehicle in real time and synchronously to determine self-detection failure information.
Referring to fig. 4, in the present embodiment, the self-test of each component can be realized through the following processes:
and step 410, acquiring the current actual operation information of each part in the hybrid electric vehicle, and comparing the current actual operation information of the part with the received state information corresponding to the part.
In this embodiment, the vehicle control unit may perform self-detection on each part synchronously, may acquire current actual operation information of each part in the hybrid electric vehicle, and compares the acquired current actual operation information with the received state information corresponding to the part to detect whether a situation of inconsistent work exists between the parts. And the received state information corresponding to the part is detected by other parts for detecting the state of the part and is sent to the vehicle control unit. For example, for a brake pedal in a hybrid electric vehicle, if the actual operation information of the brake pedal collected by the vehicle controller is that the brake pedal has no opening, the received switch information of the brake pedal is in an "on" state, that is, the current actual operation information of the brake pedal is inconsistent with the received state information. In this case, it is considered that the two are out of harmony with each other. At this time, the vehicle control unit may determine self-detection failure information corresponding to the condition. Note that the control subunit in the hybrid vehicle is also a part of the components in the hybrid vehicle.
In this embodiment, the vehicle control unit performs synchronization fault detection from the above three aspects, that is, the steps 210, 220, and 230 are not performed sequentially, and may be performed synchronously in an actual process. After the fault information detected through effectiveness, the fault information corresponding to the hard wire signal in the failure state and the self-detection fault information are obtained, the three types of fault information are classified and classified to obtain fault grade information reflecting all subsystems of the hybrid electric vehicle. Referring to fig. 5, this step can be implemented by the following processes:
and 510, acquiring a control subunit corresponding to the fault information detected through effectiveness, and determining the fault level of each subsystem of the hybrid electric vehicle according to the subsystem to which the control subunit belongs and the subsystem to which the hard wire signal in the failure state belongs.
And step 520, determining the vehicle-mounted related fault level of the hybrid electric vehicle according to the self-detection fault information.
In this embodiment, each control subunit belongs to a different subsystem, and each hard-wired signal represents information of the different subsystem. The fault level of each subsystem can be determined according to the subsystem to which the control subunit corresponding to the fault information which is effectively detected belongs and the subsystem to which the hard wire signal in the failure state belongs.
For example, the fault level of the high-voltage system can be judged according to the fault information corresponding to the control subunit of the battery management system and the preset maximum allowable discharge power of the battery; determining the fault grade of the electric drive system according to the fault information corresponding to the motor controller and the preset maximum allowable discharge power of the motor; judging the fault level of the range extending system according to the corresponding fault information of the engine and the generator; and judging the fault grade of the transmission system according to the fault information corresponding to the clutch.
In addition, in the embodiment, the vehicle-related fault level of the hybrid electric vehicle can be determined according to the self-detection fault information.
In the embodiment, after the fault levels of all the subsystems and the fault levels related to the whole vehicle are determined, the current fault level of the whole vehicle mode and the current fault level of the power mode can be determined.
Optionally, the fault levels of all the subsystems and the highest fault level in the relevant fault levels of the whole vehicle may be obtained, and the highest fault level is used as a mode fault level of the whole vehicle.
And grading and arranging and combining the fault grades of all the subsystems and the fault grades related to the whole vehicle according to a preset rule to obtain the power mode fault grade. Here, the classification and permutation combination of the fault level of the subsystem and the fault level related to the entire vehicle are not particularly limited, and may be set correspondingly according to actual requirements. For example, several failure levels may be combined according to a preset rule to obtain a power mode failure level, or sorted according to a preset importance degree to obtain a power mode failure level, and so on.
In this embodiment, after the vehicle mode fault level and the power mode fault level are determined, corresponding processing measures need to be determined. According to the preset relationship between different fault grades and different processing strategies, a first processing strategy corresponding to the current complete vehicle mode fault grade and a second processing strategy corresponding to the current power mode fault grade can be obtained. And correspondingly controlling the corresponding control subunits in the hybrid electric vehicle according to the obtained first processing strategy and the second processing strategy.
For example, the failure level of the entire vehicle mode can be classified into 0-4, and when the failure level of the entire vehicle mode is 0, the entire vehicle is not processed and runs normally. And if the failure level of the whole vehicle mode is 1, reducing the power of the whole vehicle, and enabling the whole vehicle to run at low power. And if the failure level of the whole vehicle mode is 2, limiting the maximum required torque of the whole vehicle, and enabling the maximum vehicle speed not to exceed a set value to limp. And if the failure level of the whole vehicle mode is 3, the allowable output torque of the power system is 0. And if the failure level of the whole vehicle mode is 4, the whole vehicle needs to be powered off emergently to protect the safety of personnel on the vehicle.
For another example, the power mode fault level can be classified into fault levels 1-3, when the power mode fault level is 1, the direct drive mode can be prohibited, the condition that the whole vehicle enters the parallel connection mode is forced to be 0, even if the power mode cannot enter the clutch combination mode, and therefore the purpose of prohibiting the vehicle from entering the parallel connection mode is achieved. And if the power mode fault level is 2, forbidding the pure electric mode, forcibly setting the condition of starting the engine to be 1, even if the power mode enters the engine starting mode, and further achieving the purpose of forbidding to enter the pure electric mode. And if the power mode fault level is 3, the range extending mode is forbidden, the condition that the engine needs to be started by the range extending mode is forced to be 0, even if the power mode cannot be started, the purpose of forbidding the engine to be started in the range extending mode is achieved.
It should be noted that, the correspondence between the failure level and the first processing policy and the second processing policy is only an example, and is limited thereto, and the corresponding setting may be made according to the actual situation.
In this embodiment, when a fault occurs, a prompt message may also be generated to prompt the user to perform maintenance. If the vehicle control unit receives an input clearing command, for example, after a maintenance person clears a fault, the clearing command can be input, or the maintenance person feels that the fault does not affect the operation, the clearing command can also be input. After the vehicle control unit receives the clearing instruction, the obtained fault information can be cleared on line. Therefore, the interference caused by the fact that the fault information is reserved all the time to follow-up is avoided.
In addition, when the vehicle control unit is powered off and powered on again, if the fault information reserved in the last power off process is detected, the stored fault information can be cleared. So as to prevent the last fault information from being stored when the power is re-powered on, thereby causing interference to maintenance personnel.
Referring to fig. 6, the embodiment of the present application further provides a fault detection apparatus 600, where the fault detection apparatus 600 is applied to the vehicle control unit, and the fault detection apparatus 600 includes at least one software functional module that can be stored in a storage medium of the vehicle control unit in the form of software or firmware. The processor in the vehicle control unit executes executable programs in the storage medium, such as software functional modules and programs included in the fault detection apparatus 600, to implement the fault detection method described above.
In this embodiment, the fault detection apparatus 600 includes a first detection module 601, a monitoring module 602, a second detection module 603, a classification module 604, and a determination module 605.
The first detecting module 601 is configured to, when receiving the fault information sent by the control subunit, perform validity detection on the received fault information, and record the fault information that passes the validity detection. It is understood that the first detection module 601 can be used to perform the step 210, and for the detailed implementation of the first detection module 601, reference can be made to the above description regarding the step 210.
The monitoring module 602 is configured to monitor the validity flag bit of each received hard-line signal, identify the hard-line signal whose valid flag bit is in a failure state, and obtain fault information corresponding to the hard-line signal according to a preset importance level of the hard-line signal in the failure state. It is understood that the monitoring module 602 can be used to perform the step 220, and the detailed implementation of the monitoring module 602 can refer to the above description regarding the step 220.
The second detection module 603 is configured to perform self-detection on each component in the hybrid vehicle to determine self-detection fault information. It is understood that the second detection module 603 can be used to perform the step 230, and for the detailed implementation of the second detection module 603, reference can be made to the above description of the step 230.
The classification module 604 is configured to classify and grade the fault information detected by validity, the fault information corresponding to the hard-line signal in the failure state, and the self-detection fault information. The determining module 605 is configured to determine a current failure level of the entire vehicle mode and a current failure level of the power mode according to the classification and classification results. It is understood that the classification module 604 and the determination module 605 can be used to perform the step 240, and the detailed implementation of the classification module 604 and the determination module 605 can refer to the content related to the step 240.
Referring to fig. 7, in the present embodiment, the fault detection apparatus 600 further includes a processing policy obtaining module 606 and a control module 607.
The processing strategy obtaining module 606 is configured to, after determining the current vehicle mode fault level and the power mode fault level, obtain a first processing strategy corresponding to the current vehicle mode fault level and a second processing strategy corresponding to the current power mode fault level according to a preset relationship between different fault levels and different processing strategies.
The control module 607 is configured to correspondingly control the corresponding control subunit in the hybrid electric vehicle according to the obtained first processing strategy and the second processing strategy.
In this embodiment, the first detecting module 601 may perform validity detection on the received fault information by:
detecting whether the duration of the received fault information exceeds a preset duration or not, and whether the fault information does not jump within the preset duration or not;
if the duration of the fault information exceeds the preset duration and no jump occurs within the preset duration, detecting whether the power state of a control subunit sending the fault information is effective;
if the power state of the control subunit sending the fault information is valid, detecting whether the ID of the message carrying the fault information is a valid ID;
and if the ID of the message carrying the fault information is the effective ID, determining that the fault information passes the effectiveness detection, and recording the fault information passing the effectiveness detection.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working process of the apparatus described above may refer to the corresponding process in the foregoing method, and will not be described in too much detail herein.
To sum up, the fault detection method and apparatus provided in the embodiments of the present application perform validity detection on the fault information sent by the control subunit, and record the fault information that passes the validity detection. Meanwhile, the hard wire signal with the effective zone bit in the failure state is identified by monitoring the effective zone bit of the received hard wire signal, and corresponding fault information is obtained. Furthermore, self-detection fault information is determined by self-detecting each part in the hybrid electric vehicle. And finally, classifying and grading the fault information under the three conditions to obtain the fault grade of the whole vehicle mode and the fault grade of the power mode. Therefore, the method can synchronously realize the validity detection of the fault information of the control subunit, the effective zone bit detection of the hard wire signal and the self-detection of the parts, realize the fault diagnosis under different conditions, and synthesize the fault information under various conditions to determine the faults of the whole vehicle, thereby realizing the comprehensiveness of the fault detection of the hybrid electric vehicle and improving the safety.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The apparatus embodiments described above are merely illustrative and, for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention. It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (10)
1. A fault detection method is characterized by being applied to a vehicle control unit in a hybrid electric vehicle, wherein the vehicle control unit is connected with each control subunit in the hybrid electric vehicle, and the method comprises the following steps:
when the fault information sent by the control subunit is received, carrying out validity detection on the received fault information, and recording the fault information passing the validity detection;
monitoring the validity flag bit of each received hard wire signal, identifying the hard wire signal with the valid flag bit in a failure state, and obtaining fault information corresponding to the hard wire signal according to the preset important level of the hard wire signal in the failure state;
self-detecting each part in the hybrid electric vehicle to determine self-detection fault information;
and classifying and grading the fault information detected by effectiveness, the fault information corresponding to the hard wire signal in the failure state and the self-detection fault information, and determining the current finished automobile mode fault grade and the current power mode fault grade according to the classification and grading results.
2. The fault detection method of claim 1, wherein the method further comprises:
after the current finished automobile mode fault level and the current power mode fault level are determined, a first processing strategy corresponding to the current finished automobile mode fault level and a second processing strategy corresponding to the current power mode fault level are obtained according to the preset relation between different fault levels and different processing strategies;
and correspondingly controlling the corresponding control subunits in the hybrid electric vehicle according to the obtained first processing strategy and the second processing strategy.
3. The method according to claim 1, wherein the step of performing validity check on the received fault information, and the step of recording the fault information passing the validity check comprises:
detecting whether the duration of the received fault information exceeds a preset duration or not, and whether the fault information does not jump within the preset duration or not;
if the duration of the fault information exceeds the preset duration and no jump occurs within the preset duration, detecting whether the power state of a control subunit sending the fault information is effective;
if the power state of the control subunit sending the fault information is valid, detecting whether the ID of the message carrying the fault information is a valid ID;
and if the ID of the message carrying the fault information is the effective ID, determining that the fault information passes the effectiveness detection, and recording the fault information passing the effectiveness detection.
4. The method according to claim 1, wherein the step of classifying and classifying the fault information detected by validity, the fault information corresponding to the hard-wired signal in the failed state, and the self-detected fault information includes:
acquiring a control subunit corresponding to the fault information detected through effectiveness, and determining the fault level of each subsystem of the hybrid electric vehicle according to the subsystem to which the control subunit belongs and the subsystem to which the hard wire signal in the failure state belongs;
and determining the relevant fault grade of the whole hybrid electric vehicle according to the self-detection fault information.
5. The fault detection method of claim 4, wherein the step of determining the current full vehicle mode fault level and the current power mode fault level based on the results of the classifying and grading comprises:
acquiring fault levels of all subsystems and the highest fault level in the relevant fault levels of the whole vehicle, and taking the highest fault level as the current fault level of the whole vehicle mode;
and grading and arranging and combining the fault grades of all the subsystems and the fault grades related to the whole vehicle according to a preset rule to obtain the current power mode fault grade.
6. The method of claim 1, further comprising the step of performing a clearing process on the fault information, the step comprising one of:
when an input clearing instruction is received, carrying out online clearing processing on the fault information;
when the power is off and the power is on again, the fault information before the power is off last time is cleared.
7. The fault detection method according to claim 1, wherein the step of self-detecting each component in the hybrid vehicle to determine self-detected fault information includes:
acquiring current actual operation information of each part in the hybrid electric vehicle, and comparing the current actual operation information of the part with the received state information corresponding to the part;
and if the current actual operation information of the part is inconsistent with the state information, determining that a work uncoordinated fault exists so as to obtain self-detection fault information.
8. A fault detection device is applied to a vehicle control unit in a hybrid electric vehicle, wherein the vehicle control unit is connected with each control subunit in the hybrid electric vehicle, and the device comprises:
the first detection module is used for carrying out validity detection on the received fault information and recording the fault information passing the validity detection when the fault information sent by the control subunit is received;
the monitoring module is used for monitoring the validity flag bit of each received hard wire signal, identifying the hard wire signal with the valid flag bit in a failure state, and obtaining corresponding fault information according to the preset important level of the hard wire signal in the failure state;
the second detection module is used for carrying out self-detection on each part in the hybrid electric vehicle so as to determine self-detection fault information;
the classification module is used for classifying and grading the fault information detected by effectiveness, the fault information corresponding to the hard wire signal in the failure state and the self-detection fault information;
and the determining module is used for determining the current finished automobile mode fault level and the current power mode fault level according to the classification and grading results.
9. The fault detection device of claim 8, wherein the device further comprises:
the processing strategy acquisition module is used for acquiring a first processing strategy corresponding to the current finished automobile mode fault grade and a second processing strategy corresponding to the current power mode fault grade according to the preset relation between different fault grades and different processing strategies after determining the current finished automobile mode fault grade and the current power mode fault grade;
and the control module is used for correspondingly controlling the corresponding control subunits in the hybrid electric vehicle according to the obtained first processing strategy and the second processing strategy.
10. The apparatus according to claim 8, wherein the first detecting module is configured to perform validity detection on the received fault information by:
detecting whether the duration of the received fault information exceeds a preset duration or not, and whether the fault information does not jump within the preset duration or not;
if the duration of the fault information exceeds the preset duration and no jump occurs within the preset duration, detecting whether the power state of a control subunit sending the fault information is effective;
if the power state of the control subunit sending the fault information is valid, detecting whether the ID of the message carrying the fault information is a valid ID;
and if the ID of the message carrying the fault information is the effective ID, determining that the fault information passes the effectiveness detection, and recording the fault information passing the effectiveness detection.
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| CN111736030B (en) * | 2020-08-03 | 2020-12-11 | 北京航空航天大学 | General fault management method for automobile |
| CN112339683B (en) * | 2020-10-13 | 2022-01-21 | 广州汽车集团股份有限公司 | Method, system and storage medium for vehicle power distribution |
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