CN110659671A - Method and device for detecting working state of vehicle generator and computer equipment - Google Patents
Method and device for detecting working state of vehicle generator and computer equipment Download PDFInfo
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- CN110659671A CN110659671A CN201910810133.8A CN201910810133A CN110659671A CN 110659671 A CN110659671 A CN 110659671A CN 201910810133 A CN201910810133 A CN 201910810133A CN 110659671 A CN110659671 A CN 110659671A
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Abstract
The application relates to a method and a device for detecting the working state of a vehicle generator and computer equipment. Wherein: the method comprises the following steps: acquiring storage battery voltage characteristic data in a vehicle starting process; classifying the storage battery voltage characteristic data through a preset classifier, and determining the storage battery voltage change type; the classifier is generated after training a data sample set through a classification algorithm; the data sample set comprises corresponding storage battery voltage characteristic data in the vehicle starting process when the generator is in different working states; and determining the working state of the generator according to the voltage change type of the storage battery. By adopting the method, the storage battery voltage characteristic data in the vehicle starting process can be classified through the preset classifier, the current storage battery voltage change type is judged, the working state of the generator is determined, the working state of the generator can be detected in daily use of a user, the abnormality can be found in time, and the loss or safety problem caused by the abnormality of the generator is avoided.
Description
Technical Field
The application relates to the technical field of vehicle networking, in particular to a method and a device for detecting the working state of a vehicle generator and computer equipment.
Background
The vehicle generator is a main power supply of the vehicle, and is used for supplying power to all electric equipment except a starter when an engine runs normally and simultaneously charging a storage battery, and supplying power to all electric equipment by the storage battery when the generator does not work.
If the vehicle starts, the generator can not work normally, and once the electric quantity of the storage battery is consumed, the vehicle can not be used normally. At present, the working state of the generator is detected by using an instrument at a special maintenance place, a user cannot know the working state of the generator in the daily driving process, and once the generator is abnormal, the user is puzzled, and even potential safety hazards appear in the driving process.
Disclosure of Invention
Therefore, it is necessary to provide a method, an apparatus and a computer device for detecting the operating state of a generator, which can conveniently detect the operating state of the generator.
A method for detecting the working state of a vehicle generator comprises the following steps:
acquiring voltage characteristic data of a storage battery in the starting process of a vehicle to be tested;
classifying the storage battery voltage characteristic data through a preset classifier, and determining the storage battery voltage change type; the classifier is generated after training a data sample set through a classification algorithm; the data sample set comprises corresponding storage battery voltage characteristic data in the vehicle starting process when the generator is in different working states;
and determining the working state of the generator of the vehicle to be tested according to the voltage change type of the storage battery.
In one embodiment, the generator operating state comprises: the system comprises a first type, a second type and a third type, wherein the first type, the second type and the third type are respectively corresponding to the voltage variation types of the storage battery.
In one embodiment, the generator operating state detection method further includes:
if the working state of the generator is determined that the vehicle is successfully started but the generator cannot normally work, generating an abnormal prompt; the abnormity prompt is used for prompting a user that the working state of the generator is abnormal;
and sending an exception prompt to the terminal.
In one embodiment, the step of obtaining the battery voltage characteristic data during the starting process of the vehicle to be tested comprises the following steps:
acquiring a storage battery voltage value sequence acquired by a vehicle OBD system according to a preset sampling period;
and extracting storage battery voltage characteristic data from the storage battery voltage value sequence according to a preset characteristic extraction rule.
In one embodiment, the feature extraction rules include:
extracting the voltage value of a reference sampling point, the voltage values of m sampling points before the reference sampling point, the voltage values of n sampling points after the reference sampling point, the voltage values of p sampling points after the reference sampling point and the voltage values of q sampling points after the reference sampling point as storage battery voltage characteristic data; the reference sampling point is a sampling point corresponding to the lowest voltage point in the vehicle storage battery voltage value sequence, and the lowest voltage point of the vehicle in the storage battery voltage value sequence is the voltage value of the reference sampling point; and, n < p < q;
acquiring the median of voltage values of m sampling points before a reference sampling point, the median of voltage values in a range from the p-th sampling point to the q-th sampling point after the reference sampling point and the maximum value of voltage values after the q-th sampling point after the reference sampling point as storage battery voltage characteristic data;
and calculating the difference between the median of the voltage values of m sampling points before the reference sampling point and the voltage value of the reference sampling point, the difference between the voltage values of n sampling points after the reference sampling point and the voltage value of the reference sampling point respectively, the difference between the voltage values of p sampling points after the reference sampling point and the voltage value of the reference sampling point respectively, the difference between the voltage values of q sampling points after the reference sampling point and the voltage value of the reference sampling point respectively, and the difference between the voltage values of q sampling points after the reference sampling point and the voltage values of p sampling points after the reference sampling point respectively as storage battery voltage characteristic data.
An operating state detecting device for a vehicle generator, the device comprising:
the characteristic data acquisition module is used for acquiring the voltage characteristic data of the storage battery in the starting process of the vehicle to be tested;
the storage battery voltage change type determining module is used for classifying the storage battery voltage characteristic data through a preset classifier and determining the storage battery voltage change type; the classifier is generated after training a data sample set through a classification algorithm; the data sample set comprises corresponding storage battery voltage characteristic data in the vehicle starting process when the generator is in different working states;
and the generator working state determining module is used for determining the working state of the vehicle generator according to the voltage change type of the storage battery.
In one embodiment, the generator operating state detecting device further includes:
the abnormal prompt generating module is used for generating an abnormal prompt when the working state of the generator is determined to be that the vehicle is successfully started but the generator cannot normally work; the abnormity prompt is used for prompting a user that the working state of the generator is abnormal;
and the abnormity prompt sending module is used for sending an abnormity prompt to the terminal.
A computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the following steps when executing the computer program:
acquiring voltage characteristic data of a storage battery in the starting process of a vehicle to be tested;
classifying the storage battery voltage characteristic data through a preset classifier, and determining the storage battery voltage change type; the classifier is generated after training a data sample set through a classification algorithm; the data sample set comprises corresponding storage battery voltage characteristic data in the vehicle starting process when the generator is in different working states;
and determining the working state of the generator according to the voltage change type of the storage battery.
A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:
acquiring voltage characteristic data of a storage battery in the starting process of a vehicle to be tested;
classifying the storage battery voltage characteristic data through a preset classifier, and determining the storage battery voltage change type; the classifier is generated after training a data sample set through a classification algorithm; the data sample set comprises corresponding storage battery voltage characteristic data in the vehicle starting process when the generator is in different working states;
and determining the working state of the generator according to the voltage change type of the storage battery.
An OBD system is provided, which is provided with an OBD system,
the OBD system is used for detecting the working state of a generator of a vehicle with the OBD system by using a vehicle generator working state detection method and sending the working state of the generator to the terminal;
the terminal is used for displaying the working state of the generator in real time.
According to the method, the device and the computer equipment for detecting the working state of the vehicle generator, the storage battery voltage characteristic data in the vehicle starting process is classified through the preset classifier, the classifier is generated by training the storage battery voltage characteristic data sample set in the vehicle starting process when the generator is in different working states, the current storage battery voltage change type can be judged, the working state of the generator can be determined according to the judged storage battery voltage change type, a special instrument is not required to be adopted to detect the working state of the generator in the daily use of a user, the abnormity can be timely found, and the loss or safety problem caused by the abnormity of the generator is avoided.
Drawings
FIG. 1 is a diagram illustrating an exemplary embodiment of a method for detecting an operating condition of a generator of a vehicle;
FIG. 2 is a schematic flow chart of a method for detecting an operating condition of a vehicle generator according to one embodiment;
FIG. 3 is a schematic diagram illustrating the voltage variation of the battery under the conditions of successful vehicle start and normal generator operation;
FIG. 4 is a schematic diagram illustrating the voltage variation of the battery under the condition that the vehicle is successfully started but the generator cannot normally work;
FIG. 5 is a schematic diagram of the change in battery voltage during a failed vehicle start condition;
FIG. 6 is a schematic flow chart of a generator operating condition detection method according to another embodiment;
FIG. 7 is a flowchart illustrating the steps of obtaining battery voltage characterization data during vehicle start-up, in one embodiment;
FIG. 8 is a block diagram of a generator operating condition detecting apparatus according to an embodiment;
FIG. 9 is a block diagram showing the structure of a generator operating condition detecting apparatus according to another embodiment;
FIG. 10 is a block diagram of a feature data acquisition module, according to one embodiment;
FIG. 11 is a diagram of an internal structure of a computer device in the form of a server in one embodiment;
fig. 12 is an internal structural diagram of a computer device in an OBD system in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention.
The method for detecting the working state of the generator can be applied to the application environment shown in fig. 1. Wherein the OBD system of the vehicle 101 communicates with the server 102 via a network. In one embodiment, the OBD system of the vehicle 101 sends the acquired battery voltage to the server 102, the server 102 processes the battery voltage to obtain battery voltage characteristic data, and determines a battery voltage change type corresponding to the battery voltage characteristic data according to the classifier, thereby determining a vehicle generator operating state according to the battery voltage change type. The server 102 may be implemented as a stand-alone server or a server cluster composed of a plurality of servers.
The generator working state detection method can be further applied to an OBD system of a vehicle, the OBD system extracts storage battery voltage characteristic data after collecting storage battery voltage, a classifier is used for judging storage battery voltage change types corresponding to the storage battery voltage characteristic data, and then the working state of the generator of the vehicle is determined according to the storage battery voltage change types.
In one embodiment, as shown in fig. 2, there is provided a vehicle generator operation state detection method including the steps of:
and step 210, acquiring voltage characteristic data of the storage battery in the starting process of the vehicle to be tested.
The battery voltage characteristic data of the vehicle starting process is characteristic data extracted from the battery voltage of the vehicle from t1 before ignition to t2 after ignition (whether ignition is successful or not).
Step 220, classifying the storage battery voltage characteristic data through a preset classifier, and determining the storage battery voltage change type; the classifier is generated after training a data sample set through a classification algorithm; the data sample set includes corresponding battery voltage characteristic data during vehicle startup when the generator is in different operating states.
The classification algorithm for generating the classifier may adopt a currently common classification algorithm, for example: XGBoost (eXtreme Gradient Boosting algorithm), Random Forest algorithm, SVM (Support Vector Machine algorithm), and the like. The data in the data sample set for training the classifier can be obtained by acquiring and processing data of one vehicle in different working states of the generator, or can be obtained by acquiring and processing data of different vehicles in different working states of the generator.
The trained classifier is used for classifying the storage battery voltage characteristic data in the vehicle starting process acquired when detection is needed, and the storage battery voltage change type can be determined.
And step 230, determining the working state of the generator according to the voltage change type of the storage battery.
Because the generator is in different working states and the corresponding voltage change conditions of the storage battery are different in the starting process of the vehicle, as shown in fig. 3 to 5, which are schematic diagrams of the voltage variation curves of the battery under three states of successful vehicle start and normal generator operation, successful vehicle start but abnormal generator operation, and failed vehicle start, respectively, it can be seen from fig. 3 that under the condition of successful vehicle start and normal generator operation, the voltage suddenly drops to the lowest point of the voltage at the moment of vehicle ignition, the voltage quickly rises from the lowest point after the vehicle is started, and enters a plateau after a period of time, and the voltage reaching the plateau after ignition is higher than the voltage before ignition, because the generator normally works to charge the storage battery and the generator supplies power to the electric equipment in the vehicle, the voltage is higher than that when only the storage battery supplies power to the electric equipment in the vehicle before ignition. It can be seen from fig. 4 that in the state where the vehicle is successfully started but the generator cannot normally operate, the voltage at the moment of vehicle ignition suddenly drops to the lowest voltage point, the voltage quickly rises from the lowest voltage point after the vehicle is started, and enters the stationary phase after a period of time, but in this state, because the generator cannot normally operate, the storage battery still supplies power to the electrical equipment in the vehicle, and therefore the voltage in the stationary phase after ignition is lower than the voltage before ignition. It can be seen from fig. 5 that in the state of vehicle starting failure, the voltage drops to the lowest point at the moment of vehicle ignition, and after the moment of ignition, the voltage rises slowly from the lowest point, and after a long time, the generator enters a stationary phase, at which the generator still cannot work normally, so that the voltage at the stationary phase is lower than the voltage before ignition. The working state of the generator can be determined by the change type of the voltage of the storage battery.
According to the method for detecting the working state of the generator, the storage battery voltage characteristic data in the vehicle starting process is classified through a preset classifier, the classifier is generated by training a storage battery voltage characteristic data sample set in the vehicle starting process when the generator is in different working states, the current storage battery voltage change type can be judged, the working state of the generator can be determined according to the judged storage battery voltage change type, a special instrument is not needed to be used for detecting the working state of the generator in daily use of a user, the working state of the generator can be detected, abnormality can be found in time, and loss or safety problems caused by the abnormality of the generator are avoided.
In one embodiment, the generator has three operating states: the successful vehicle starting and the normal operation of the generator, the successful vehicle starting and the abnormal operation of the generator and the failure of the vehicle starting respectively correspond to a first type, a second type and a third type in the storage battery voltage variation types.
The battery voltage variation type may be represented by a curve as in fig. 3 to 5, and may also be represented in the form of a data table in some embodiments.
In one embodiment, as shown in fig. 6, the generator operating state detecting method further includes:
step 240, if the working state of the generator is determined that the vehicle is successfully started but the generator cannot normally work, generating an abnormal prompt; the abnormity prompt is used for prompting a user that the working state of the generator is abnormal.
If the working state of the generator is that the vehicle is started successfully but the generator cannot work normally, the user cannot find the working state in the driving process, but once the electric quantity of the storage battery is used up, the vehicle cannot be used normally, troubles are caused to the user, even accidents can be caused, and therefore the user needs to be prompted in time so that the user can overhaul as soon as possible. If the working state of the generator is the vehicle starting failure, the situation that a user can know is met, so that the user does not need to be prompted additionally, and resources are saved.
And step 250, sending an abnormal prompt to the terminal.
In one embodiment, the terminal may be a mobile terminal, and send the exception prompt to the mobile terminal bound by the user for prompting. In one embodiment, the terminal can be an automobile central control platform, and the abnormality prompt is displayed on the central control platform to prompt a driver.
In one embodiment, as shown in FIG. 7, the step of obtaining battery voltage characterization data during vehicle start-up includes:
and step 211, acquiring a storage battery voltage value sequence acquired by an OBD system of the vehicle to be detected according to a preset sampling period.
And the OBD system samples the voltage value of the storage battery according to a preset sampling period to obtain a storage battery voltage value sequence which changes along with sampling time.
And 212, extracting storage battery voltage characteristic data from the storage battery voltage value sequence according to a preset characteristic extraction rule.
Different rules can be adopted according to the specific classification algorithm and the requirement of data processing accuracy, and the feature extraction rule used in detection is consistent with the feature extraction rule used in training sample acquisition.
In one embodiment, if the generator operating state detection method is applied to the server 102, the step of obtaining the battery voltage value sequence fed back by the OBD system of the vehicle to be tested further includes:
sending a storage battery voltage value acquisition instruction to an OBD system; and the storage battery voltage value acquisition instruction is used for indicating the OBD system to acquire the storage battery voltage value according to a preset sampling period.
In one embodiment, the feature extraction rules include:
extracting the voltage value of a reference sampling point, the voltage values of m sampling points before the reference sampling point, the voltage values of n sampling points after the reference sampling point, the voltage values of p sampling points after the reference sampling point and the voltage values of q sampling points after the reference sampling point as storage battery voltage characteristic data; the sampling point vehicle is a sampling point vehicle corresponding to the lowest voltage point in the storage battery voltage value sequence, and the lowest voltage point vehicle in the storage battery voltage value sequence is the voltage value of the sampling point; and, n < p < q;
acquiring the median of voltage values of m sampling points before a reference sampling point, the median of voltage values in a range from the p-th sampling point to the q-th sampling point after the reference sampling point and the maximum value of voltage values after the q-th sampling point after the reference sampling point as storage battery voltage characteristic data;
and calculating the difference between the median of the voltage values of m sampling points before the reference sampling point and the voltage value of the reference sampling point, the difference between the voltage values of n sampling points after the reference sampling point and the voltage value of the reference sampling point respectively, the difference between the voltage values of p sampling points after the reference sampling point and the voltage value of the reference sampling point respectively, the difference between the voltage values of q sampling points after the reference sampling point and the voltage value of the reference sampling point respectively, and the difference between the voltage values of q sampling points after the reference sampling point and the voltage values of p sampling points after the reference sampling point respectively as storage battery voltage characteristic data.
The storage battery voltage characteristic data extracted through the extraction rule can clearly reflect the storage battery voltage change condition, so that the detection result is more accurate.
It should be understood that, although the steps in the flowcharts of fig. 2, 6 and 7 are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2, 6, and 7 may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of performing the sub-steps or stages is not necessarily sequential, but may be performed alternately or alternatingly with other steps or at least some of the sub-steps or stages of other steps.
In one embodiment, as shown in fig. 8, there is provided a generator operation state detection apparatus including: a characteristic data obtaining module 310, a storage battery voltage change type determining module 320 and a generator working state determining module 330, wherein:
the characteristic data acquisition module 310 is used for acquiring the voltage characteristic data of the storage battery in the starting process of the vehicle to be tested;
the storage battery voltage change type determining module 320 is used for classifying the storage battery voltage characteristic data through a preset classifier and determining the storage battery voltage change type; the classifier is generated after training a data sample set through a classification algorithm; the data sample set comprises corresponding storage battery voltage characteristic data in the vehicle starting process when the generator is in different working states;
and the generator working state determining module 330 is used for determining the working state of the generator according to the change type of the voltage of the storage battery.
In one embodiment, as shown in fig. 9, the generator operating state detecting device further includes: an exception prompt generating module 340 and an exception prompt sending module 350, wherein:
the abnormal prompt generating module 340 is configured to generate an abnormal prompt when it is determined that the generator is in the operating state that the vehicle is successfully started but the generator cannot normally operate; the abnormity prompt is used for prompting a user that the working state of the generator is abnormal;
an exception prompt sending module 350, configured to send an exception prompt to the terminal.
In one embodiment, as shown in fig. 10, the feature data obtaining module 310 includes: battery voltage value sequence acquisition module 311 and battery voltage characteristic data extraction module 312, wherein:
the storage battery voltage value sequence acquiring module 311 is configured to acquire a storage battery voltage value sequence fed back by the OBD system;
the battery voltage characteristic data extraction module 312 extracts battery voltage characteristic data from the battery voltage value sequence according to a preset characteristic extraction rule.
In one embodiment, if the generator operating state detection method is applied to the server, the feature data obtaining module 310 further includes:
the acquisition instruction sending module is used for sending a storage battery voltage value acquisition instruction to the OBD system; and the storage battery voltage value acquisition instruction is used for indicating the OBD system to acquire the storage battery voltage value according to a preset sampling period.
For specific limitations of the generator operating state detection device, reference may be made to the above limitations of the generator operating state detection method, which are not described herein again. All or part of the modules in the generator working state detection device can be realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as shown in fig. 11. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used for storing battery voltage characteristic data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a generator operating state detection method.
In one embodiment, a computer device is provided, which may be an OBD system, the internal structure of which may be as shown in fig. 12. The computer device includes a processor, a memory, a network interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a generator operating state detection method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by those skilled in the art that the configurations shown in fig. 11 and 12 are only block diagrams of some configurations relevant to the present disclosure, and do not constitute a limitation on the computer device to which the present disclosure may be applied, and a particular computer device may include more or less components than those shown in the figures, or may combine some components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:
acquiring voltage characteristic data of a storage battery in the starting process of a vehicle to be tested;
classifying the storage battery voltage characteristic data through a preset classifier, and determining the storage battery voltage change type; the classifier is generated after training a data sample set through a classification algorithm; the data sample set comprises corresponding storage battery voltage characteristic data in the vehicle starting process when the generator is in different working states;
and determining the working state of the generator according to the voltage change type of the storage battery.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
if the working state of the generator is determined that the vehicle is successfully started but the generator cannot normally work, generating an abnormal prompt; the abnormity prompt is used for prompting a user that the working state of the generator is abnormal;
and sending an exception prompt to the terminal.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
acquiring a storage battery voltage value sequence acquired by an OBD system of a vehicle to be detected according to a preset sampling period;
and extracting storage battery voltage characteristic data from the storage battery voltage value sequence according to a preset characteristic extraction rule.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
acquiring voltage characteristic data of a storage battery in the starting process of a vehicle to be tested;
classifying the storage battery voltage characteristic data through a preset classifier, and determining the storage battery voltage change type; the classifier is generated after training a data sample set through a classification algorithm; the data sample set comprises corresponding storage battery voltage characteristic data in the vehicle starting process when the generator is in different working states;
and determining the working state of the generator according to the voltage change type of the storage battery.
In one embodiment, the computer program when executed by the processor further performs the steps of:
if the working state of the generator is determined that the vehicle is successfully started but the generator cannot normally work, generating an abnormal prompt; the abnormity prompt is used for prompting a user that the working state of the generator is abnormal;
and sending an exception prompt to the terminal.
In one embodiment, the computer program when executed by the processor further performs the steps of:
acquiring a voltage value sequence of a storage battery acquired by an OBD system according to a preset sampling period;
and extracting storage battery voltage characteristic data from the storage battery voltage value sequence according to a preset characteristic extraction rule.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
In one embodiment, an OBD system is provided;
the OBD system is used for detecting the working state of the generator by using any one of the generator working state detection methods in the embodiments and sending the working state of the generator to the terminal;
the terminal is used for showing the working state of the generator.
The terminal can be a mobile terminal bound by a user or an automobile central control platform, and if the driver is not the user bound with the mobile terminal, the working state of the generator can be checked through the automobile central control platform.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A vehicle generator operating condition detection method, the method comprising:
acquiring voltage characteristic data of a storage battery in the starting process of a vehicle to be tested;
classifying the storage battery voltage characteristic data through a preset classifier, and determining the storage battery voltage change type; the classifier is generated after a data sample set is trained through a classification algorithm; the data sample set comprises corresponding storage battery voltage characteristic data in the vehicle starting process when the generator is in different working states;
and determining the working state of the generator of the vehicle to be tested according to the voltage change type of the storage battery.
2. The vehicle generator operation state detection method according to claim 1,
the generator operating state comprises: the system comprises a first type, a second type and a third type, wherein the first type, the second type and the third type are respectively corresponding to the storage battery voltage variation types, and the first type, the second type and the third type are respectively corresponding to the storage battery voltage variation types.
3. The vehicle generator operation state detection method according to claim 2, characterized by further comprising:
if the working state of the generator is determined that the vehicle is successfully started but the generator cannot normally work, generating an abnormal prompt; the abnormity prompt is used for prompting a user that the working state of the generator is abnormal;
and sending the abnormal prompt to a terminal.
4. The vehicle generator operating state detecting method according to any one of claims 1 to 3, wherein the step of acquiring the battery voltage characteristic data during the starting process of the vehicle to be tested includes:
acquiring a storage battery voltage value sequence acquired by an OBD system of the vehicle to be detected according to a preset sampling period;
and extracting the storage battery voltage characteristic data from the storage battery voltage value sequence according to a preset characteristic extraction rule.
5. The vehicle generator operation state detection method according to claim 4, wherein the feature extraction rule is:
extracting a voltage value of a reference sampling point, voltage values of m sampling points before the reference sampling point, voltage values of n sampling points after the reference sampling point, voltage values of p sampling points after the reference sampling point, and voltage values of q sampling points after the reference sampling point as the storage battery voltage characteristic data; the reference sampling point is a sampling point corresponding to the lowest voltage point in the storage battery voltage value sequence of the vehicle, and the lowest voltage point of the vehicle in the storage battery voltage value sequence is the voltage value of the reference sampling point; and, n < p < q;
acquiring the median of voltage values of m sampling points before the reference sampling point, the median of voltage values in a range from the p-th sampling point to the q-th sampling point after the reference sampling point and the maximum value of voltage values after the q-th sampling point after the reference sampling point as the storage battery voltage characteristic data;
and calculating the difference between the median of the voltage values of m sampling points before the reference sampling point and the voltage value of the reference sampling point, the difference between the voltage values of n sampling points after the reference sampling point and the voltage value of the reference sampling point, the difference between the voltage values of p sampling points after the reference sampling point and the voltage value of the reference sampling point, the difference between the voltage values of q sampling points after the reference sampling point and the voltage value of the reference sampling point, and the difference between the voltage values of q sampling points after the reference sampling point and the voltage values of p sampling points after the reference sampling point as the storage battery voltage characteristic data.
6. A vehicle generator operating condition detecting apparatus, characterized in that the apparatus comprises:
the characteristic data acquisition module is used for acquiring the voltage characteristic data of the storage battery in the starting process of the vehicle to be tested;
the storage battery voltage change type determining module is used for classifying the storage battery voltage characteristic data through a preset classifier and determining the storage battery voltage change type; the classifier is generated after a data sample set is trained through a classification algorithm; the data sample set comprises corresponding storage battery voltage characteristic data in the vehicle starting process when the generator is in different working states;
and the generator working state determining module is used for determining the working state of the generator of the vehicle to be tested according to the voltage change type of the storage battery.
7. The vehicle generator operation state detection device according to claim 6, characterized by further comprising:
the abnormal prompt generating module is used for generating an abnormal prompt when the working state of the generator is determined that the vehicle is successfully started but the generator cannot normally work; the abnormity prompt is used for prompting a user that the working state of the generator is abnormal;
and the abnormity prompt sending module is used for sending the abnormity prompt to the terminal.
8. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 5 when executing the computer program.
9. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 5.
10. An OBD system, characterized in that,
the OBD system is used for detecting the working state of a generator of a vehicle with the OBD system by using the method for detecting the working state of the generator of the vehicle as claimed in any one of claims 1 to 5 and sending the working state of the generator to a terminal;
and the terminal is used for displaying the working state of the generator in real time.
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