CN114510482A - Data processing method, device, equipment, system and medium - Google Patents
Data processing method, device, equipment, system and medium Download PDFInfo
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Abstract
The application provides a data processing method, a device, equipment, a system and a medium, which are used for judging whether data in a battery management system is larger than or equal to an abnormal threshold value or not, and recording the time larger than or equal to the abnormal threshold value, the abnormal type and the abnormal value larger than or equal to the abnormal threshold value when the data is larger than or equal to the abnormal threshold value. And then, detecting whether the time when the data is greater than or equal to the abnormal threshold reaches a first preset time threshold, and if so, recording the time when the data reaches the first preset time threshold and an abnormal value when the data reaches the first preset time threshold. And then, continuing to detect the data, and judging whether the time of the detected data, which is greater than or equal to the abnormal threshold value, reaches a second preset time threshold value, if so, recording the time of reaching the second preset time threshold value and the abnormal value when reaching the second preset time threshold value. Therefore, the abnormal condition of the data is recorded in detail, so that the problem is positioned and solved in time when the subsequent lithium battery is abnormal.
Description
Technical Field
The present application relates to the field of battery management technologies, and in particular, to a data processing method, apparatus, device, system, and medium.
Background
In recent years, the market of small power is vigorously developed, and products such as unmanned aerial vehicles, cordless electric tools, robots, robot dogs, floor sweepers, cordless dust collectors, electric bicycles and the like are widely applied. Lithium batteries have also received much attention as power partners for these products.
At present, when the lithium battery is abnormal due to the abnormity of a product, the problem is difficult to position, and the problem cannot be solved in time.
Disclosure of Invention
The application provides a data processing method, device, equipment, system and medium, which are used for positioning the abnormal problem of a battery.
In a first aspect, the present application provides a data processing method, including:
judging whether the data in the battery management system is larger than or equal to an abnormal threshold value or not, and recording the time larger than or equal to the abnormal threshold value, the abnormal type and the abnormal value larger than or equal to the abnormal threshold value when the data is larger than or equal to the abnormal threshold value;
detecting whether the time of the data which is greater than or equal to the abnormal threshold reaches a first preset time threshold, if so, recording the time of reaching the first preset time threshold and an abnormal value when the time of reaching the first preset time threshold;
detecting whether the time of the data which is greater than or equal to the abnormal threshold reaches a second preset time threshold, if so, recording the time of reaching the second preset time threshold and an abnormal value when reaching the second preset time threshold;
and the first preset time threshold is half of the second preset time threshold.
Optionally, after recording the time greater than or equal to the anomaly threshold, the anomaly type, and the anomaly value greater than or equal to the anomaly threshold, the method further includes:
and detecting whether the time of the data which is greater than or equal to the abnormal threshold reaches half of a first preset time threshold, and if so, recording the time of reaching half of the first preset time threshold and the abnormal value of reaching half of the first preset time threshold.
Optionally, after recording the time reaching the first preset time threshold and the abnormal value at the time reaching the first preset time threshold, the method further includes:
and detecting whether the time of the data which is greater than or equal to the abnormal threshold reaches 1.5 times of the first preset time threshold, and if so, recording the time which reaches 1.5 times of the first preset time threshold and the abnormal value which reaches 1.5 times of the first preset time threshold.
Optionally, the data comprises voltage data;
the determining whether the data in the battery management system is greater than or equal to the abnormal threshold specifically includes:
and judging whether the voltage data in the battery management system is greater than or equal to a voltage abnormity threshold value.
Optionally, the data comprises current data;
the determining whether the data in the battery management system is greater than or equal to the abnormal threshold specifically includes:
and judging whether the current data in the battery management system is greater than or equal to the current abnormity threshold value.
Optionally, the data comprises temperature data;
the determining whether the data in the battery management system is greater than or equal to the abnormal threshold specifically includes:
it is determined whether the temperature data in the battery management system is greater than or equal to a temperature anomaly threshold.
In a second aspect, the present application provides a data processing apparatus comprising:
the judging module is used for judging whether the data in the battery management system is larger than or equal to an abnormal threshold value or not, and recording the time larger than or equal to the abnormal threshold value, the abnormal type and the abnormal value larger than or equal to the abnormal threshold value when the data is larger than or equal to the abnormal threshold value;
the first detection module is used for detecting whether the time of the data which is greater than or equal to the abnormal threshold reaches a first preset time threshold or not, and if so, recording the time of reaching the first preset time threshold and an abnormal value when the time of reaching the first preset time threshold;
the second detection module is used for detecting whether the time when the data is greater than or equal to the abnormal threshold reaches a second preset time threshold, and if so, recording the time when the data reaches the second preset time threshold and an abnormal value when the data reaches the second preset time threshold;
and the first preset time threshold is half of the second preset time threshold.
In a third aspect, the present application provides a processing apparatus comprising: a memory and a processor;
the memory is used for storing instructions; the processor is arranged to invoke instructions in the memory to perform the data processing method of the first aspect and any one of the possible designs of the first aspect.
In a third aspect, the present application provides a data processing system, including the processing device of the third aspect, and a memory chip in communication with the processing device, where the memory chip is configured to acquire and store the time greater than or equal to the exception threshold, the exception type, and the exception value when greater than or equal to the exception threshold, the time when the first preset time threshold is reached and the exception value when the first preset time threshold is reached, and the time when the second preset time threshold is reached and the exception value when the second preset time threshold is reached.
In a fourth aspect, the present application provides a computer-readable storage medium having stored thereon computer instructions which, when executed by at least one processor of a processing device, cause the processing device to perform the data processing method of the first aspect and any one of the possible designs of the first aspect.
In a fifth aspect, the present application provides a computer program product comprising computer instructions which, when executed by at least one processor of a processing device, cause the processing device to perform the data processing method of the first aspect as well as any one of the possible designs of the first aspect.
The data processing method provided by the application judges whether data in the battery management system is larger than or equal to an abnormal threshold value or not, and records time larger than or equal to the abnormal threshold value, abnormal types and abnormal values larger than or equal to the abnormal threshold value when the data is larger than or equal to the abnormal threshold value. And then, detecting whether the time when the data is greater than or equal to the abnormal threshold reaches a first preset time threshold, and recording the time when the data is greater than or equal to the abnormal threshold and an abnormal value when the time reaches the first preset time threshold. And then, continuing to detect the data, detecting whether the time when the data is greater than or equal to the abnormal threshold reaches a second preset time threshold, and recording the time when the data is greater than or equal to the abnormal threshold and the abnormal value when the time when the data is greater than or equal to the abnormal threshold reaches the second preset time threshold, wherein the first preset time threshold is half of the second preset time threshold. Therefore, when the data in the battery management system triggers the abnormal threshold, the time and the abnormal type of the abnormal threshold and the abnormal value when the abnormal threshold is triggered are recorded, and then the change of the data before and after the first preset time threshold is continuously detected and recorded, so that the abnormal condition of the data can be recorded in detail, and the problem can be positioned and solved in time when the subsequent lithium battery is abnormal.
Drawings
In order to more clearly illustrate the technical solutions in the present application or the prior art, the drawings needed for the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a flowchart of a data processing method according to an embodiment of the present application;
fig. 2 is a flowchart of a data processing method according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a data processing apparatus according to an embodiment of the present application;
fig. 4 is a schematic hardware structure diagram of a processing device according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of a data processing system according to an embodiment of the present application.
Detailed Description
To make the purpose, technical solutions and advantages of the present application clearer, the technical solutions in the present application will be clearly and completely described below with reference to the drawings in the present application, and it is obvious that the described embodiments are some, but not all embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
A Battery Management System (BMS) is an important component of a power Battery System of an electric vehicle. The battery management system monitors and manages the battery, and the charging and discharging process of the battery is controlled by collecting and calculating parameters such as voltage, current and temperature, so that the battery is protected, and the comprehensive performance of the battery is improved.
At present, when the lithium battery is abnormal due to the abnormity of a product, the problem is difficult to position, and the problem cannot be solved in time.
In view of the above problems, the present application proposes a data processing method that determines whether data in a battery management system is greater than or equal to an abnormality threshold, and when the data is greater than or equal to the abnormality threshold, records a time greater than or equal to the abnormality threshold, an abnormality type, and an abnormal value when the data is greater than or equal to the abnormality threshold. And then, detecting whether the time when the data is greater than or equal to the abnormal threshold reaches a first preset time threshold, and recording the time when the data is greater than or equal to the abnormal threshold and an abnormal value when the time reaches the first preset time threshold. And then, continuing to detect the data, detecting whether the time when the data is greater than or equal to the abnormal threshold reaches a second preset time threshold, and recording the time when the data is greater than or equal to the abnormal threshold and the abnormal value when the time when the data is greater than or equal to the abnormal threshold reaches the second preset time threshold, wherein the first preset time threshold is half of the second preset time threshold. In this way, when data in the battery management system triggers an abnormal threshold, the time for triggering the abnormal threshold, the abnormal type and the abnormal value when triggering the abnormal threshold are recorded, then the data is continuously detected, and if the time for the data to continue to be abnormal reaches the first preset time threshold, the time for reaching the first preset time threshold and the abnormal value when reaching the first preset time threshold are recorded. And then continuously detecting the data, and if the continuous abnormal time of the data reaches a second preset time threshold, recording the time reaching the second preset time threshold and an abnormal value when the time reaches the second preset time threshold. The second preset time threshold is twice the first preset time threshold, so that after the second preset time threshold is obtained, the battery is not required to be protected normally, and the change of the data before and after the first preset time threshold, namely the change of the data before and after the data protection, is detected and recorded, so that the abnormal condition of the data can be recorded, and the problem can be positioned and solved in time when the subsequent lithium battery is abnormal.
The technical solution of the present application will be described in detail below with specific examples. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments.
In the present application, a processing device is used as an execution subject to execute the data processing method of the following embodiment. Specifically, the execution subject may be a hardware device of the processing apparatus, or a software application implementing the following embodiments in the processing apparatus, or a computer-readable storage medium installed with the software application implementing the following embodiments, or code of the software application implementing the following embodiments.
Fig. 1 shows a flowchart of a data processing method according to an embodiment of the present application. As shown in fig. 1, with the processing device as the execution subject, the method of this embodiment may include the following steps:
s101, judging whether the data in the battery management system is larger than or equal to an abnormal threshold value or not.
The battery management system comprises a single monitoring unit and a power battery management unit, wherein the single monitoring unit is responsible for measuring data such as voltage, current and temperature of the power battery. When the single monitoring unit measures data such as voltage, current and temperature, the data are transmitted to the power battery management unit, the power battery management unit evaluates the data, if the data are abnormal, the power battery is protected, and an instruction for reducing the current or an instruction for cutting off a charge and discharge passage is given out, so that the power battery is prevented from exceeding the allowable use condition, and meanwhile, the electric quantity and the temperature of the power battery are managed. The single monitoring unit can comprise a current acquisition module, a voltage acquisition module and a temperature acquisition module, wherein the current acquisition module is used for acquiring current data, the voltage acquisition module is used for acquiring voltage data, and the temperature acquisition module is used for acquiring temperature data.
When the data includes voltage data, a battery management unit in the battery management system may determine whether the voltage data is greater than or equal to a voltage abnormality threshold. The abnormal voltage threshold value during battery charging can be 4.2V, the charging mode of the lithium battery is constant current/constant voltage, the battery is charged with constant current at the initial stage of charging, the voltage rises to 4.2V along with the charging process and is converted into constant voltage charging until the current is smaller and smaller, the battery continues to be charged with constant current if the voltage exceeds 4.2V, the voltage of the battery continues to rise at the moment, and after the voltage exceeds 4.2V, the chemical side reaction of the battery is aggravated, so that the battery is damaged or the safety problem occurs. The abnormal voltage threshold when the battery is discharged may be, for example, 2.5V, when the battery is discharged to an external load, the voltage gradually decreases along with the progress of the discharge process, and when the voltage decreases to 2.5V, the capacity is substantially completely discharged, and if the battery is allowed to continue to discharge to the load, the battery may be permanently damaged.
When the data includes current data, a battery management unit in the battery management system may determine whether the current data is greater than or equal to a current anomaly threshold. The current data may include charge-time current data and discharge-time current data and short-circuit data, and accordingly, the current abnormality threshold includes a charge-time current threshold and a discharge-time current threshold and a short-circuit threshold.
When the data includes temperature data, a battery management unit in the battery management system may determine whether the temperature data is greater than or equal to a temperature anomaly threshold. The temperature data may include high temperature data and low temperature data at the time of charging and high temperature data and low temperature data at the time of discharging, and accordingly, the temperature abnormality threshold includes a high temperature abnormality threshold and a low temperature abnormality threshold at the time of charging, and a high temperature abnormality threshold and a low temperature abnormality threshold at the time of discharging.
When the data is greater than or equal to the abnormal threshold, that is, the data triggers the abnormal threshold, step S102 is executed, and when the data is less than the abnormal threshold, the current flow may be ended, and the data monitoring is performed again in the next period.
And S102, recording the time when the abnormal value is larger than or equal to the abnormal threshold value, the abnormal type and the abnormal value when the abnormal value is larger than or equal to the abnormal threshold value.
If the data is greater than the abnormal threshold, recording the time when the data is greater than the abnormal threshold, the abnormal type and the abnormal value when the data is greater than the abnormal threshold, for example, the voltage abnormal threshold is 4.2V, the voltage when the battery is charged is directly increased from 4.19V to 4.21V, the voltage value is greater than the voltage abnormal threshold, the time when the voltage is 4.21V is recorded as the time point after the battery is started, and the abnormal type is charging overvoltage and the abnormal value is 4.21V.
If the data is equal to the abnormal threshold, recording the time when the data is greater than the abnormal threshold, the abnormal type and the abnormal value when the data is greater than the abnormal threshold, for example, the voltage abnormal threshold is 4.2V, the voltage when the battery is charged rises from 4.19V to 4.2V, when the voltage value is equal to the voltage abnormal threshold, recording the time when the voltage is 4.2V, the abnormal type is charging overvoltage, and the abnormal value is 4.2V.
S103, detecting whether the time that the data is larger than or equal to the abnormal threshold reaches a first preset time threshold.
And after the data triggers the abnormal threshold, continuing to detect the data, detecting whether the time for the data to continuously become abnormal reaches a first preset time threshold, and if the time for the data to continuously become abnormal reaches the first preset time threshold, protecting the battery. For example, the data is voltage data during charging, and if the time when the data triggers the abnormal charging voltage threshold reaches a first preset time threshold, the charging circuit needs to be cut off, so that the charger cannot charge the battery, and the overcharge protection effect is achieved. And if the time for triggering the abnormal discharge current threshold by the data exceeds a first preset time threshold, the discharge loop needs to be cut off, and the overcurrent protection effect is achieved.
When the time that the data is greater than or equal to the abnormal threshold reaches the first preset time threshold, that is, the time that the data is abnormal reaches the first preset time threshold, step S104 is executed, and when the data duration time does not reach the first preset time threshold, the current process may be ended, and the data detection is not performed in the current period.
And S104, recording the time reaching the first preset time threshold and the abnormal value when the first preset time threshold is reached.
Since the abnormal type is recorded when the data triggers the abnormal threshold, when the continuous abnormal time of the data reaches the first preset time threshold, only the time and the abnormal value reaching the first preset time threshold are recorded.
And S105, detecting whether the time that the data is greater than or equal to the abnormal threshold reaches a second preset time threshold.
When the time of data abnormity reaches a first preset time threshold, the protection circuit is triggered, at this time, the data is continuously detected, whether the time of the detected data which is greater than or equal to the abnormity threshold reaches a second preset time threshold is detected, the second preset time threshold is twice of the first preset time threshold, for example, the first preset time threshold is 3s, and the second preset time threshold is 6 s.
If the time that the data is greater than or equal to the abnormal threshold reaches the second preset time threshold, it indicates that the protection circuit does not effectively protect the data, step S106 is executed, and if the time that the data is greater than or equal to the abnormal threshold does not reach the second preset time threshold, it indicates that the protection circuit effectively protects the data, the current process may be ended, and the data detection is not performed in the current period. And S106, recording the time reaching the second preset time threshold and the abnormal value when the time reaches the second preset time threshold.
And when the time when the data is greater than or equal to the abnormal threshold reaches a second preset time threshold, recording the time when the data reaches the second preset time threshold and the abnormal value when the data reaches the second preset time threshold.
According to the data processing method, when data in the battery management system triggers the abnormal threshold, the time and the abnormal type of the abnormal threshold and the abnormal value when the abnormal threshold is triggered are recorded, then the data are continuously detected, and if the continuous abnormal time of the data reaches the first preset time threshold, the time reaching the first preset time threshold and the abnormal value when the time reaches the first preset time threshold are recorded. And then continuously detecting the data, and if the continuous abnormal time of the data reaches a second preset time threshold, recording the time reaching the second preset time threshold and an abnormal value when the time reaches the second preset time threshold. When the abnormal threshold value is triggered by the data, the abnormal time, the abnormal type and the abnormal value of the data are detected and recorded, and then the abnormal condition of the data before and after the data protection is recorded, so that the problem is positioned and solved in time when the subsequent lithium battery is abnormal.
Fig. 2 shows a flowchart of a data processing method according to an embodiment of the present application. On the basis of the embodiment shown in fig. 1, the embodiment can further monitor abnormal situations before and after data protection, so as to accurately locate the abnormal problem. As shown in fig. 2, with the processing device as the execution subject, the method of this embodiment may include the following steps:
s201, judging whether the data in the battery management system is larger than or equal to an abnormal threshold value.
And acquiring data in the battery management system, and judging whether the data is greater than or equal to an abnormal threshold value, namely whether the data is abnormal.
When the data is greater than or equal to the abnormality threshold, that is, the data is abnormal, step S202 is performed.
S202, recording the time when the abnormal value is larger than or equal to the abnormal threshold, the abnormal type and the abnormal value when the abnormal value is larger than or equal to the abnormal threshold.
When the data triggers the abnormal threshold, the time of triggering the abnormal threshold, the abnormal type of the data and the abnormal value when the data triggers the abnormal threshold are recorded. The abnormality types include, for example, a current abnormality including a charge overcurrent, a discharge overcurrent, and a short circuit, a voltage abnormality including a charge overvoltage and a discharge undervoltage, and a temperature abnormality including a charge high temperature, a charge low temperature, a discharge high temperature, and a discharge low temperature, and the like.
S203, detecting whether the time that the data is greater than or equal to the abnormal threshold reaches half of a first preset time threshold.
When the data triggers the abnormal threshold, the data continues to be detected, and whether the time for the data to continuously abnormal reaches half of a first preset time threshold is detected.
When the time for which the data is continuously abnormal reaches half of the first preset time threshold, step S204 is executed.
And S204, recording the time reaching half of the first preset time threshold and the abnormal value reaching half of the first preset time threshold.
When the time of the data continuous abnormity reaches half of the first preset time threshold, recording the time of reaching half of the first preset time threshold and the abnormal value of reaching half of the first preset time threshold. For example, the first preset time threshold is 3s, half of the first preset time threshold is 1.5s, and if the time for the data to continue to be abnormal reaches 1.5s, the time for the data to continue to be abnormal reaches 1.5s and the abnormal value of the data reaches 1.5s are recorded.
S205, whether the time that the data is larger than or equal to the abnormal threshold reaches a first preset time threshold is detected.
After the time of the data lasting for the abnormality reaches half of the first preset time threshold, continuing to detect the data, detecting whether the time of the data lasting for the abnormality reaches the first preset time threshold, and executing step S206 when the time of the data lasting for the abnormality reaches the first preset time threshold.
And S206, recording the time reaching the first preset time threshold and the abnormal value when the first preset time threshold is reached.
When the time of the continuous abnormality of the data reaches a first preset time threshold, recording the time of reaching the first preset time threshold and an abnormal value when reaching the first preset time threshold, wherein the first preset time threshold can be the time of starting the protection circuit to protect the battery.
And S207, detecting whether the data is greater than or equal to 1.5 times of the first preset time threshold.
When the data continuous abnormal time reaches the first preset time threshold, the data is continuously detected, and the data continuous abnormal time after the protection circuit is started is judged, namely whether the data continuous abnormal time reaches 1.5 times of the first preset time threshold is detected. When the time for which the data is continuously abnormal reaches 1.5 times of the first preset time threshold, step S208 is performed.
And S208, recording the time reaching 1.5 times of the first preset time threshold and the abnormal value reaching 1.5 times of the first preset time threshold.
When the time of the data lasting abnormity reaches 1.5 times of the first preset time threshold, recording the time when the time of the data lasting abnormity reaches 1.5 times of the first preset time threshold and the abnormal value when the time reaches 1.5 times of the first preset time threshold.
S209, detecting whether the time when the data is larger than or equal to the abnormal threshold reaches a second preset time threshold.
And then, continuously detecting the data, detecting whether the continuous abnormal time of the data reaches a second preset time threshold, and judging whether the data is abnormal or not is periodic operation, wherein after the second preset time threshold, the battery does not need to be protected in the current period, and only the second preset time threshold is detected.
When the time of the data continuous abnormity reaches a second preset time threshold, executing step S210
And S210, recording the time reaching the second preset time threshold and an abnormal value when the time reaches the second preset time threshold.
And when the time of the continuous abnormal data reaches a second preset time threshold, recording the time reaching the second preset time threshold and an abnormal value when the time reaches the second preset time threshold. Namely before and after the protection circuit is started, the detailed detection and recording of data are completed.
According to the data processing method, abnormal data of each stage are recorded in detail, and when the subsequent lithium battery is abnormal, the problems are further conveniently located and timely solved.
Fig. 3 is a schematic structural diagram of a data processing apparatus according to an embodiment of the present application, and as shown in fig. 3, a data processing apparatus 10 according to the present embodiment is used to implement operations corresponding to a processing device in any of the method embodiments described above, where the data processing apparatus 10 according to the present embodiment includes:
a judging module 11, configured to judge whether data in the battery management system is greater than or equal to an abnormal threshold, and when the data is greater than or equal to the abnormal threshold, record a time greater than or equal to the abnormal threshold, an abnormal type, and an abnormal value greater than or equal to the abnormal threshold;
the first detection module 12 is configured to detect whether the time that the data is greater than or equal to the abnormal threshold reaches a first preset time threshold, and if so, record the time that the data reaches the first preset time threshold and an abnormal value when the data reaches the first preset time threshold;
the second detection module 13 is configured to detect whether the time that the data is greater than or equal to the abnormal threshold reaches a second preset time threshold, and if so, record the time that the data reaches the second preset time threshold and an abnormal value when the data reaches the second preset time threshold;
the first preset time threshold is half of the second preset time threshold. The data processing apparatus 10 provided in the embodiment of the present application may implement the method embodiment, and for details of implementation principles and technical effects, reference may be made to the method embodiment, which is not described herein again.
Fig. 4 shows a hardware structure diagram of a processing device according to an embodiment of the present application. As shown in fig. 4, the processing device 20 is configured to implement the operation corresponding to the processing device in any of the method embodiments described above, and the processing device 20 of this embodiment may include: memory 21, processor 22 and communication interface 23.
A memory 21 for storing computer instructions. The Memory 21 may include a Random Access Memory (RAM), a Non-Volatile Memory (NVM), at least one disk Memory, a usb disk, a removable hard disk, a read-only Memory, a magnetic disk or an optical disk.
A processor 22 for executing the computer instructions stored in the memory to implement the data processing method in the above embodiment. Reference may be made in particular to the description relating to the method embodiments described above. The Processor 22 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor, or in a combination of the hardware and software modules within the processor.
Alternatively, the memory 21 may be separate or integrated with the processor 22.
The communication interface 23 may be connected to the processor 22. Processor 22 may control communication interface 23 to perform the functions of receiving and transmitting signals.
The processing device provided in this embodiment may be configured to execute the data processing method, and its implementation manner and technical effect are similar, which are not described herein again.
Fig. 5 shows a data processing system provided in an embodiment of the present application, which includes the processing device 20 described above, and a memory chip 30 in communication with the processing device 20, where the memory chip 30 is configured to acquire and store a time greater than or equal to an exception threshold, an exception type, and an exception value when greater than or equal to the exception threshold, acquire and store a time up to a first preset time threshold and an exception value when the first preset time threshold is reached, and acquire and store a time up to a second preset time threshold and an exception value when the second preset threshold is reached.
In this embodiment, the external Memory chip is used to store abnormal data of each stage, the Memory chip 30 may be an Electrically Erasable Programmable Read Only Memory (EEPROM), which is a semiconductor Memory device that can be electronically rewritten many times, and information on the chip can be erased by using a specific voltage so as to write new data. The memory chip 30 may communicate with the processing device 20 by an Inter-Integrated Circuit (IIC) communication method to obtain the abnormal data.
The present application also provides a computer readable storage medium, in which computer instructions are stored, and the computer instructions are executed by a processor to implement the methods provided by the above-mentioned various embodiments.
The present application also provides a computer program product comprising computer instructions stored in a computer readable storage medium. The computer instructions may be read by at least one processor of the device from a computer-readable storage medium, and execution of the computer instructions by the at least one processor causes the device to perform the methods provided by the various embodiments described above.
The embodiment of the present application further provides a chip, which includes a memory and a processor, where the memory is used to store computer instructions, and the processor is used to call and execute the computer instructions from the memory, so that a device in which the chip is installed executes the method described in the above various possible embodiments.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same. Although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: it is also possible to modify the solutions described in the previous embodiments or to substitute some or all of them with equivalents. And the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present application.
Claims (10)
1. A method of data processing, the method comprising:
judging whether the data in the battery management system is larger than or equal to an abnormal threshold value or not, and recording the time larger than or equal to the abnormal threshold value, the abnormal type and the abnormal value larger than or equal to the abnormal threshold value when the data is larger than or equal to the abnormal threshold value;
detecting whether the time of the data which is greater than or equal to the abnormal threshold reaches a first preset time threshold or not, and if so, recording the time of reaching the first preset time threshold and an abnormal value when the time of reaching the first preset time threshold;
detecting whether the time of the data which is greater than or equal to the abnormal threshold reaches a second preset time threshold, if so, recording the time of reaching the second preset time threshold and an abnormal value when reaching the second preset time threshold;
and the first preset time threshold is half of the second preset time threshold.
2. The method of claim 1, wherein after recording the time greater than or equal to the anomaly threshold, the anomaly type, and the anomaly value at the time greater than or equal to the anomaly threshold, the method further comprises:
and detecting whether the time of the data which is greater than or equal to the abnormal threshold reaches half of a first preset time threshold, and if so, recording the time of reaching half of the first preset time threshold and the abnormal value of reaching half of the first preset time threshold.
3. The method of claim 2, wherein after recording the time to reach the first preset time threshold and the outlier at the time of reaching the first preset time threshold, the method further comprises:
and detecting whether the time of the data which is greater than or equal to the abnormal threshold reaches 1.5 times of the first preset time threshold, and if so, recording the time which reaches 1.5 times of the first preset time threshold and the abnormal value which reaches 1.5 times of the first preset time threshold.
4. The method of any of claims 1-3, wherein the data comprises voltage data;
the determining whether the data in the battery management system is greater than or equal to the abnormal threshold specifically includes:
and judging whether the voltage data in the battery management system is greater than or equal to a voltage abnormity threshold value.
5. The method of any of claims 1-3, wherein the data comprises current data;
the determining whether the data in the battery management system is greater than or equal to the abnormal threshold specifically includes:
and judging whether the current data in the battery management system is greater than or equal to the current abnormity threshold value.
6. The method of any of claims 1-3, wherein the data comprises temperature data;
the determining whether the data in the battery management system is greater than or equal to the abnormal threshold specifically includes:
it is determined whether the temperature data in the battery management system is greater than or equal to a temperature anomaly threshold.
7. A data processing apparatus, characterized in that the apparatus comprises:
the judging module is used for judging whether the data in the battery management system is larger than or equal to an abnormal threshold value or not, and recording the time larger than or equal to the abnormal threshold value, the abnormal type and the abnormal value larger than or equal to the abnormal threshold value when the data is larger than or equal to the abnormal threshold value;
the first detection module is used for detecting whether the time of the data which is greater than or equal to the abnormal threshold reaches a first preset time threshold or not, and if so, recording the time of reaching the first preset time threshold and an abnormal value when the time of reaching the first preset time threshold;
the second detection module is used for detecting whether the time when the data is greater than or equal to the abnormal threshold reaches a second preset time threshold, and if so, recording the time when the data reaches the second preset time threshold and an abnormal value when the data reaches the second preset time threshold;
and the first preset time threshold is half of the second preset time threshold.
8. A processing device, comprising: a processor, and a memory communicatively coupled to the processor;
the memory stores computer-executable instructions;
the processor executes computer-executable instructions stored by the memory to implement the data processing method of any one of claims 1 to 6.
9. A data processing system comprising the processing device of claim 8, and a memory chip in communication with the processing device, the memory chip being configured to acquire and store the time greater than or equal to the anomaly threshold, the type of anomaly, and the abnormal value when greater than or equal to the anomaly threshold, the time to reach the first preset time threshold and the abnormal value when reaching the first preset time threshold, and the time to reach the second preset time threshold and the abnormal value when reaching the second preset time threshold.
10. A computer-readable storage medium, having stored thereon computer instructions, which, when executed by a processor, are adapted to implement the data processing method of any one of claims 1 to 6.
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| CN117962619A (en) * | 2024-03-28 | 2024-05-03 | 零束科技有限公司 | Storage battery power shortage early warning method, system, medium and program product |
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