CN113928122B - Method and device for determining abnormal voltage of battery cell - Google Patents
Method and device for determining abnormal voltage of battery cell Download PDFInfo
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- CN113928122B CN113928122B CN202111163713.6A CN202111163713A CN113928122B CN 113928122 B CN113928122 B CN 113928122B CN 202111163713 A CN202111163713 A CN 202111163713A CN 113928122 B CN113928122 B CN 113928122B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L3/00—Electric devices on electrically-propelled vehicles for safety purposes; Monitoring operating variables, e.g. speed, deceleration or energy consumption
- B60L3/0023—Detecting, eliminating, remedying or compensating for drive train abnormalities, e.g. failures within the drive train
- B60L3/0046—Detecting, eliminating, remedying or compensating for drive train abnormalities, e.g. failures within the drive train relating to electric energy storage systems, e.g. batteries or capacitors
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. SoC
- G01R31/3835—Arrangements for monitoring battery or accumulator variables, e.g. SoC involving only voltage measurements
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/396—Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L2240/00—Control parameters of input or output; Target parameters
- B60L2240/40—Drive Train control parameters
- B60L2240/54—Drive Train control parameters related to batteries
- B60L2240/547—Voltage
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
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Abstract
The invention discloses a method and a device for determining the occurrence of abnormal voltage of a battery cell. The invention comprises the following steps: acquiring and processing monitoring data of a target vehicle in a preset time period to obtain effective data of the target vehicle in a static scene; processing the effective data into a corresponding effective data table, wherein the effective data table comprises a plurality of rows of data, and each row of data correspondingly comprises voltages corresponding to a plurality of battery cells at the same moment; processing voltage data contained in the effective data table according to a sliding window algorithm to obtain a plurality of differential pressure deviations corresponding to a plurality of battery cells at a plurality of moments; and determining whether each cell is abnormal in a preset time period according to a plurality of differential pressure deviation degrees corresponding to each cell. The invention solves the technical problem of low efficiency of the technical means for monitoring the consistency of the battery cells of the automobile in the related technology.
Description
Technical Field
The invention relates to the field of battery cell voltage, in particular to a method and a device for determining abnormality of battery cell voltage.
Background
With the popularization of new energy electric vehicles, the safety problem of the new energy electric vehicles has become a problem to be solved urgently.
In the prior art, on one hand, the manufacturing precision of the battery cell is improved by improving the production process of the battery cell, so that the safety performance of the whole package is improved; on the other hand, from the perspective of big data, the monitoring of the state of the vehicle battery and the early warning of faults are carried out by analyzing the vehicle data uploaded by the real vehicle in real time.
Based on real-time data uploaded by new energy electric vehicles, the current big data algorithm mainly uploads parameter values based on maximum voltage of a single body, minimum voltage of the single body, maximum temperature, minimum temperature and the like.
In the prior art, the condition of voltage or temperature change and the condition of consistency of the battery cells in the battery cannot be deeply monitored, and the condition of consistency of the battery cells is particularly important because the condition of consistency of the battery cells is generally caused by poor consistency of the battery cells when the battery cells are out of control due to overheating.
In view of the above problems in the related art, no effective solution has been proposed at present.
Disclosure of Invention
The invention mainly aims to provide a method and a device for determining the occurrence of abnormal voltage of a battery cell, which are used for solving the technical problem of low efficiency of technical means for monitoring the consistency of battery cells of an automobile in the related art.
In order to achieve the above object, according to one aspect of the present invention, there is provided a method of determining that an abnormality occurs in a battery cell voltage. The invention comprises the following steps: acquiring and processing monitoring data of a target vehicle in a preset time period to obtain effective data of the target vehicle in a static scene; processing the effective data into a corresponding effective data table, wherein the effective data table comprises a plurality of rows of data, and each row of data correspondingly comprises voltages corresponding to a plurality of battery cells at the same moment; processing voltage data contained in the effective data table according to a sliding window algorithm to obtain a plurality of differential pressure deviations corresponding to a plurality of battery cells at a plurality of moments; and determining whether each cell is abnormal in a preset time period according to a plurality of differential pressure deviation degrees corresponding to each cell.
Further, acquiring and processing monitoring data of the target vehicle in a preset time period to obtain effective data of the target vehicle in a static scene, wherein the method comprises the following steps: removing first scene data and second scene data contained in the monitoring data to obtain standing scene data, wherein the first scene data is data corresponding to a target vehicle in a driving scene, and the second scene data is data corresponding to the target vehicle in a charging scene; and cleaning the data of the static scene data, and eliminating invalid data in the static scene data to obtain valid data.
Further, the invalid data includes at least the following data: the voltage value uploaded after the voltage acquisition line is disconnected; mileage data, remaining power data, current data, and charge state data, which are not within respective corresponding preset ranges; and the corresponding monitoring data are obtained when the target vehicle is in a charging state and the battery current of the target vehicle is greater than zero.
Further, processing the voltage data contained in the effective data table according to the sliding window algorithm to obtain a plurality of differential pressure deviations corresponding to the plurality of battery cells at a plurality of moments includes: determining the number of voltages contained in a sliding window algorithm; determining a target data column, wherein the target data column comprises voltage values corresponding to a target cell at a plurality of moments; according to the time sequence corresponding to the moments, controlling the sliding window to slide in the target data column so as to obtain a plurality of pressure differences corresponding to the target battery cell at the moments; and calculating a plurality of differential pressure deviation degrees corresponding to the plurality of differential pressures according to the plurality of differential pressures.
Further, calculating a plurality of differential pressure deviations corresponding to the plurality of differential pressures according to the plurality of differential pressures includes: acquiring a preset pressure difference; determining a differential pressure average of the plurality of differential pressures; and calculating a plurality of differential pressure deviation degrees according to the plurality of differential pressures, the differential pressure average value and the preset differential pressure.
Further, determining whether each cell is abnormal within a preset time period according to the differential pressure deviation degrees corresponding to each cell includes: if the deviation degree of the battery cell corresponding to the preset moment exceeds the preset range and the differential pressure deviation degree corresponding to the next moment adjacent to the preset moment also exceeds the preset range, determining that the battery cell is abnormal.
Further, after determining that the cell is abnormal, the method further comprises: and sending out early warning information to remind the battery cell of abnormality according to the abnormality.
In order to achieve the above object, according to another aspect of the present invention, there is provided an apparatus for determining that an abnormality occurs in a cell voltage. The device comprises: the first processing unit is used for acquiring and processing monitoring data of the target vehicle in a preset time period to obtain effective data of the target vehicle in a static scene; the second processing unit is used for processing the effective data into a corresponding effective data table, wherein the effective data table comprises a plurality of rows of data, and each row of data correspondingly comprises voltages corresponding to a plurality of battery cells at the same moment; the third processing unit is used for processing the voltage data contained in the effective data table according to a sliding window algorithm so as to obtain a plurality of differential pressure deviations corresponding to a plurality of battery cores at a plurality of moments; the first determining unit is used for determining whether each cell is abnormal in a preset time period according to a plurality of differential pressure deviation degrees corresponding to each cell.
In order to achieve the above object, according to another aspect of the present application, there is provided a computer-readable storage medium including a stored program, wherein the program performs a method of determining that an abnormality occurs in a cell voltage of any one of the above.
In order to achieve the above object, according to another aspect of the present application, there is provided a processor for executing a program, wherein the program performs a method of determining that an abnormality occurs in a cell voltage as described in any one of the above.
According to the invention, the following steps are adopted: acquiring and processing monitoring data of a target vehicle in a preset time period to obtain effective data of the target vehicle in a static scene; processing the effective data into a corresponding effective data table, wherein the effective data table comprises a plurality of rows of data, and each row of data correspondingly comprises voltages corresponding to a plurality of battery cells at the same moment; processing voltage data contained in the effective data table according to a sliding window algorithm to obtain a plurality of differential pressure deviations corresponding to a plurality of battery cells at a plurality of moments; according to the corresponding differential pressure deviation degree of each battery cell, whether each battery cell is abnormal in a preset time period is determined, and the technical problem that the technical means for monitoring the consistency of battery cells of the automobile in the related art is low in efficiency is solved. And the effect of monitoring the voltage condition of the battery cell in a static scene and pre-warning vehicles with abnormal change conditions is achieved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention. In the drawings:
fig. 1 is a flowchart of a method for determining that an abnormality occurs in a cell voltage according to an embodiment of the present invention;
fig. 2 is a schematic diagram of an apparatus for determining that an abnormality occurs in a cell voltage according to an embodiment of the present invention.
Detailed Description
It should be noted that, without conflict, the embodiments of the present invention and features of the embodiments may be combined with each other. The invention will be described in detail below with reference to the drawings in connection with embodiments.
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate in order to describe the embodiments of the invention herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
According to an embodiment of the present invention, there is provided a method of determining that an abnormality occurs in a battery cell voltage.
Fig. 1 is a flowchart of a method of determining that an abnormality occurs in a battery cell voltage according to an embodiment of the present invention. As shown in fig. 1, the invention comprises the following steps:
step S101, acquiring and processing monitoring data of a target vehicle in a preset time period to obtain effective data of the target vehicle in a static scene.
The above-mentioned ground can be divided into three scenes, namely, a stationary scene, a driving scene and a charging scene, according to the use state of the target vehicle. According to the method and the device, judgment is carried out according to the static scene data, when the speed of the target vehicle is zero and the current is zero, the target vehicle is in a static scene, and according to the monitoring data of the target vehicle in a preset time period, the effective data which accords with the static scene are obtained.
Step S102, processing the effective data into a corresponding effective data table, wherein the effective data table comprises a plurality of rows of data, and each row of data correspondingly comprises voltages corresponding to a plurality of battery cells at the same time.
The method includes the steps of arranging the effective data into a corresponding effective data table, wherein the effective data table comprises a plurality of rows and a plurality of columns of data, each row of data comprises a plurality of groups of data corresponding to a plurality of battery cells at the same time, each column of data comprises a plurality of groups of data corresponding to the same battery cell at different times, and each group of data comprises all states and parameter data of the battery cells at the corresponding time and also comprises all running data and parameters of a target vehicle at the same time.
Step S103, processing the voltage data contained in the effective data table according to a sliding window algorithm to obtain a plurality of differential pressure deviations corresponding to a plurality of battery cells at a plurality of moments.
The sliding window algorithm is used for controlling the traffic by limiting the maximum cell number which can be received in each time window, and the sliding window algorithm is used for processing the voltage data in the effective table and obtaining the differential pressure deviation degree corresponding to the battery cell, wherein the differential pressure deviation degree refers to the proportion of the difference between the actual differential pressure and the average value to the target differential pressure.
Step S104, determining whether each cell is abnormal in a preset time period according to a plurality of differential pressure deviations corresponding to each cell.
Specifically, the fluctuation condition of the differential pressure deviation degree of each cell is analyzed, and the fluctuation condition of the differential pressure deviation degree of each cell is analyzed for carrying out abnormality judgment aiming at the differential pressure deviation degree of the cell calculated by the same cell
In one embodiment provided herein, the fluctuation of the cell deviation is analyzed by plotting a box graph.
In an alternative example, acquiring and processing monitoring data of a target vehicle in a preset time period to obtain effective data of the target vehicle in a static scene, including: removing first scene data and second scene data contained in the monitoring data to obtain standing scene data, wherein the first scene data is data corresponding to a target vehicle in a driving scene, and the second scene data is data corresponding to the target vehicle in a charging scene; and cleaning the data of the static scene data, and eliminating invalid data in the static scene data to obtain valid data.
Specifically, corresponding data of the target vehicle in the monitoring data in a driving scene and a charging scene are removed to obtain standing scene data, wherein the standing scene data comprises a large number of data sets, each data set comprises parameters of each mechanism of the target vehicle, after the standing scene data is obtained, voltage in the standing scene data is zero, the voltage is null, the data set with the missing voltage value, the data set with the battery temperature sensing value being minus forty degrees or more than two hundred degrees and the data set with the temperature sensing value being null are removed, and meanwhile invalid data is removed to obtain valid data.
Optionally, the invalid data includes at least the following data:
1. the method comprises the steps that a voltage value uploaded after a voltage acquisition line is broken is uploaded to a fixed value after the voltage acquisition line is broken and recovered;
2. mileage data, remaining power data, current data, and charge state data, which are not within respective corresponding preset ranges;
3. and the corresponding monitoring data are obtained when the target vehicle is in a charging state and the battery current of the target vehicle is greater than zero.
Preferably, in an alternative example, processing the voltage data contained in the effective data table according to the sliding window algorithm to obtain a plurality of differential pressure deviations corresponding to the plurality of cells at a plurality of moments includes: determining the number of voltages contained in a sliding window algorithm; determining a target data column, wherein the target data column comprises voltage values corresponding to a target cell at a plurality of moments; according to the time sequence corresponding to the moments, controlling the sliding window to slide in the target data column so as to obtain a plurality of pressure differences corresponding to the target battery cell at the moments; and calculating a plurality of differential pressure deviation degrees corresponding to the plurality of differential pressures according to the plurality of differential pressures.
In the above-mentioned alternative embodiment, in the effective data table, three data are selected as one sliding window, and the sliding window corresponds to three groups of effective data, that is, three voltages V1, V2, V3 exist in the sliding window at the same time, and for one cell, V is calculated in one sliding window dif = |v1-V3|, and V will be dif And recording the value of the differential pressure of the first row in the sliding window, carrying out sliding window downward row by row after one sliding window is calculated, and so on to finish the calculation of the differential pressure corresponding to all the target cells at a plurality of moments.
In an alternative example, calculating a plurality of differential pressure deviations corresponding to the plurality of differential pressures according to the plurality of differential pressures includes: acquiring a preset pressure difference; determining a differential pressure average of the plurality of differential pressures; and calculating a plurality of differential pressure deviation degrees according to the plurality of differential pressures, the differential pressure average value and the preset differential pressure.
Specifically, the deviation degree of the differential pressure of the same cell is analyzed, and the deviation degree of the differential pressure is calculated by the same cell according to the differential pressure calculated by the sliding window: deviation = (differential pressure-differential pressure mean)/preset differential pressure, preferably the preset differential pressure is the noted differential pressure.
In an alternative embodiment, determining whether each cell is abnormal within a preset time period according to a plurality of differential pressure deviations corresponding to each cell includes: if the deviation degree of the battery cell corresponding to the preset moment exceeds the preset range and the differential pressure deviation degree corresponding to the next moment adjacent to the preset moment also exceeds the preset range, determining that the battery cell is abnormal.
Specifically, under normal conditions, the deviation of the differential pressure is relatively small, when the differential pressure changes abnormally, the deviation of the battery cell corresponding to a certain moment exceeds a preset range, the deviation can abnormally increase, and meanwhile, the deviation of the differential pressure at the next moment adjacent to the moment also exceeds the preset range, that is, the deviation of the differential pressure of the battery cell corresponding to the differential pressure at the next moment is likely to exceed the preset range, so that in one embodiment provided by the application, the abnormal occurrence of the battery cell can be determined based on the deviation of the differential pressure exceeding the preset range corresponding to the two moments.
In order to improve the accuracy of the determination, whether the cell is abnormal or not may be determined by the degree of deviation of the differential pressure at a plurality of times.
In an alternative example, after determining that the cell is abnormal, the method further includes: and sending out early warning information to remind the battery cell of abnormality according to the abnormality.
Specifically, the abnormal occurrence of the battery cell is determined, early warning information is sent out to remind, and the battery cell with abnormal change conditions and the battery pack corresponding to the battery cell are early warned so as to realize the monitoring and early warning of the battery cell conditions.
According to the method for determining the occurrence of the abnormality of the battery cell voltage, the effective data of the target vehicle in the standing scene is obtained by acquiring and processing the monitoring data of the target vehicle in the preset time period; processing the effective data into a corresponding effective data table, wherein the effective data table comprises a plurality of rows of data, and each row of data correspondingly comprises voltages corresponding to a plurality of battery cells at the same moment; processing voltage data contained in the effective data table according to a sliding window algorithm to obtain a plurality of differential pressure deviations corresponding to a plurality of battery cells at a plurality of moments; according to the corresponding differential pressure deviation degree of each battery cell, whether each battery cell is abnormal in a preset time period is determined, and the technical problem that the technical means for monitoring the consistency of battery cells of the automobile in the related art is low in efficiency is solved. Is a problem of (a). And the effect of monitoring the voltage condition of the battery cell in a static scene and pre-warning vehicles with abnormal change conditions is achieved.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer executable instructions, and that although a logical order is illustrated in the flowcharts, in some cases the steps illustrated or described may be performed in an order other than that illustrated herein.
The embodiment of the invention also provides a device for determining the occurrence of the abnormality of the battery cell voltage, and the device for determining the occurrence of the abnormality of the battery cell voltage can be used for executing the method for determining the occurrence of the abnormality of the battery cell voltage provided by the embodiment of the invention. The following describes a device for determining that the voltage of a battery cell is abnormal according to an embodiment of the present invention.
Fig. 2 is a schematic view of an apparatus for determining an abnormality in cell voltage according to an embodiment of the present invention. As shown in fig. 2, the apparatus includes: the first processing unit 201 is configured to acquire and process monitoring data of the target vehicle in a preset time period, so as to obtain effective data of the target vehicle in a standing scene; a second processing unit 202, configured to process the valid data into a corresponding valid data table, where the valid data table includes a plurality of rows of data, and each row of data includes voltages corresponding to a plurality of cells at the same time; the third processing unit 203 is configured to process the voltage data included in the effective data table according to a sliding window algorithm, so as to obtain a plurality of differential pressure deviations corresponding to the plurality of battery cells at a plurality of moments; the first determining unit 204 is configured to determine whether each cell is abnormal within a preset time period according to the differential pressure deviations corresponding to each cell.
In an alternative example, the first processing unit 201 includes: the removing subunit is used for removing first scene data and second scene data contained in the monitoring data to obtain standing scene data, wherein the first scene data is data corresponding to a target vehicle in a driving scene, and the second scene data is data corresponding to the target vehicle in a charging scene; and the cleaning subunit is used for cleaning the data of the static scene data and removing invalid data in the static scene data to obtain valid data.
In an alternative example, the invalid data includes at least the following data: the voltage value uploaded after the voltage acquisition line is disconnected; mileage data, remaining power data, current data, and charge state data, which are not within respective corresponding preset ranges; and the corresponding monitoring data are obtained when the target vehicle is in a charging state and the battery current of the target vehicle is greater than zero.
In an alternative example, the third processing unit 203 includes: the first determining subunit is used for determining the number of voltages contained in a sliding window in the sliding window algorithm; the second determining subunit is used for determining a target data column, wherein the target data column comprises voltage values corresponding to the target battery cell at a plurality of moments; the control subunit is used for controlling the sliding window to slide in the target data column according to the time sequence corresponding to the multiple moments so as to obtain multiple pressure differences corresponding to the target battery cell at the multiple moments; the calculating subunit is used for calculating a plurality of differential pressure deviation degrees corresponding to the differential pressures according to the differential pressures.
In an alternative example, the computing subunit includes: the acquisition module is used for acquiring a preset pressure difference; the determining module is used for determining a differential pressure average value of a plurality of differential pressures; the calculating module is used for calculating a plurality of differential pressure deviation degrees according to the differential pressure, the differential pressure average value and the preset differential pressure.
In an alternative example, the first determining unit 204 includes: and the third determining subunit is used for determining that the battery cell is abnormal under the condition that the deviation degree corresponding to the preset moment exceeds a preset range and the differential pressure deviation degree corresponding to the next moment adjacent to the preset moment also exceeds the preset range.
In an alternative example, the apparatus further comprises: and the sending unit is used for sending out early warning information to remind the battery core of abnormality according to the abnormality after the battery core is determined to be abnormal.
According to the device for determining the abnormal voltage of the battery cell, provided by the embodiment of the invention, the effective data of the target vehicle in a static scene is obtained by acquiring and processing the monitoring data of the target vehicle in a preset time period; processing the effective data into a corresponding effective data table, wherein the effective data table comprises a plurality of rows of data, and each row of data correspondingly comprises voltages corresponding to a plurality of battery cells at the same moment; processing voltage data contained in the effective data table according to a sliding window algorithm to obtain a plurality of differential pressure deviations corresponding to a plurality of battery cells at a plurality of moments; according to the corresponding differential pressure deviation degree of each battery cell, whether each battery cell is abnormal in a preset time period is determined, and the technical problem that the technical means for monitoring the consistency of battery cells of the automobile in the related art is low in efficiency is solved. And the effect of monitoring the voltage condition of the battery cell in a static scene and pre-warning vehicles with abnormal change conditions is achieved.
An apparatus for determining that an abnormality occurs in a cell voltage includes a processor and a memory, the first processing unit 201 and the like are stored as program units in the memory, and the processor executes the program units stored in the memory to realize corresponding functions.
The processor includes a kernel, and the kernel fetches the corresponding program unit from the memory. The inner core can be provided with one or more than one, and the technical problem of low efficiency of the technical means for monitoring the consistency of the battery cells of the automobile in the related technology is solved by adjusting the parameters of the inner core.
The memory may include volatile memory, random Access Memory (RAM), and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM), among other forms in computer readable media, the memory including at least one memory chip.
The embodiment of the invention provides a computer readable storage medium, on which a program is stored, which when executed by a processor, implements a method of determining that an abnormality occurs in a cell voltage.
The embodiment of the invention provides a processor, which is used for running a program, wherein the program runs to execute a method for determining that the voltage of a battery cell is abnormal.
The embodiment of the invention provides equipment, which comprises a processor, a memory and a program stored in the memory and capable of running on the processor, wherein the processor realizes the following steps when executing the program: removing first scene data and second scene data contained in the monitoring data to obtain standing scene data, wherein the first scene data is data corresponding to a target vehicle in a driving scene, and the second scene data is data corresponding to the target vehicle in a charging scene; and cleaning the data of the static scene data, and eliminating invalid data in the static scene data to obtain valid data.
In an alternative example, the invalid data includes at least the following data: the voltage value uploaded after the voltage acquisition line is disconnected; mileage data, remaining power data, current data, and charge state data, which are not within respective corresponding preset ranges; and the corresponding monitoring data are obtained when the target vehicle is in a charging state and the battery current of the target vehicle is greater than zero.
In an alternative example, processing the voltage data included in the effective data table according to the sliding window algorithm to obtain a plurality of differential pressure deviations corresponding to the plurality of battery cells at a plurality of moments includes: determining the number of voltages contained in a sliding window algorithm; determining a target data column, wherein the target data column comprises voltage values corresponding to a target cell at a plurality of moments; according to the time sequence corresponding to the moments, controlling the sliding window to slide in the target data column so as to obtain a plurality of pressure differences corresponding to the target battery cell at the moments; and calculating a plurality of differential pressure deviation degrees corresponding to the plurality of differential pressures according to the plurality of differential pressures.
In an alternative example, calculating a plurality of differential pressure deviations corresponding to the plurality of differential pressures according to the plurality of differential pressures includes: acquiring a preset pressure difference; determining a differential pressure average of the plurality of differential pressures; and calculating a plurality of differential pressure deviation degrees according to the plurality of differential pressures, the differential pressure average value and the preset differential pressure.
In an alternative embodiment, determining whether each cell is abnormal within a preset time period according to a plurality of differential pressure deviations corresponding to each cell includes: if the deviation degree of the battery cell corresponding to the preset moment exceeds the preset range and the differential pressure deviation degree corresponding to the next moment adjacent to the preset moment also exceeds the preset range, determining that the battery cell is abnormal.
In an alternative example, after determining that the cell is abnormal, the method further includes: and sending out early warning information to remind the battery cell of abnormality according to the abnormality.
The device herein may be a server, PC, PAD, cell phone, etc.
The invention also provides a computer program product adapted to perform, when executed on a data processing device, a program initialized with the method steps of: removing first scene data and second scene data contained in the monitoring data to obtain standing scene data, wherein the first scene data is data corresponding to a target vehicle in a driving scene, and the second scene data is data corresponding to the target vehicle in a charging scene; and cleaning the data of the static scene data, and eliminating invalid data in the static scene data to obtain valid data.
In an alternative example, the invalid data includes at least the following data: the voltage value uploaded after the voltage acquisition line is disconnected; mileage data, remaining power data, current data, and charge state data, which are not within respective corresponding preset ranges; and the corresponding monitoring data are obtained when the target vehicle is in a charging state and the battery current of the target vehicle is greater than zero.
In an alternative example, processing the voltage data included in the effective data table according to the sliding window algorithm to obtain a plurality of differential pressure deviations corresponding to the plurality of battery cells at a plurality of moments includes: determining the number of voltages contained in a sliding window algorithm; determining a target data column, wherein the target data column comprises voltage values corresponding to a target cell at a plurality of moments; according to the time sequence corresponding to the moments, controlling the sliding window to slide in the target data column so as to obtain a plurality of pressure differences corresponding to the target battery cell at the moments; and calculating a plurality of differential pressure deviation degrees corresponding to the plurality of differential pressures according to the plurality of differential pressures.
In an alternative example, calculating a plurality of differential pressure deviations corresponding to the plurality of differential pressures according to the plurality of differential pressures includes: acquiring a preset pressure difference; determining a differential pressure average of the plurality of differential pressures; and calculating a plurality of differential pressure deviation degrees according to the plurality of differential pressures, the differential pressure average value and the preset differential pressure.
In an alternative embodiment, determining whether each cell is abnormal within a preset time period according to a plurality of differential pressure deviations corresponding to each cell includes: if the deviation degree of the battery cell corresponding to the preset moment exceeds the preset range and the differential pressure deviation degree corresponding to the next moment adjacent to the preset moment also exceeds the preset range, determining that the battery cell is abnormal.
In an alternative example, after determining that the cell is abnormal, the method further includes: and sending out early warning information to remind the battery cell of abnormality according to the abnormality.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the invention may take the form of a computer program product embodied on one or more computer-usable computer-readable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, etc., such as Read Only Memory (ROM) or flash RAM. Memory is an example of a computer-readable medium.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
It should also be noted that 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 one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises an element.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the invention may take the form of a computer program product embodied on one or more computer-usable computer-readable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.
The foregoing is merely exemplary of the present invention and is not intended to limit the present invention. Various modifications and variations of the present invention will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. which come within the spirit and principles of the invention are to be included in the scope of the claims of the present invention.
Claims (8)
1. A method of determining an abnormality in cell voltage, comprising:
acquiring and processing monitoring data of a target vehicle in a preset time period to obtain effective data of the target vehicle in a static scene;
processing the effective data into a corresponding effective data table, wherein the effective data table comprises a plurality of rows of data, and each row of data correspondingly comprises voltages corresponding to a plurality of battery cells at the same moment;
processing voltage data contained in the effective data table according to a sliding window algorithm to obtain a plurality of differential pressure deviation degrees corresponding to a plurality of battery cores at a plurality of moments;
determining whether each battery cell is abnormal in the preset time period according to the differential pressure deviation degrees corresponding to the battery cells;
processing the voltage data contained in the effective data table according to a sliding window algorithm to obtain a plurality of differential pressure deviations corresponding to a plurality of battery cells at a plurality of moments, wherein the steps comprise: determining the number of voltages contained in a sliding window in the sliding window algorithm; determining a target data column, wherein the target data column comprises voltage values corresponding to a target battery cell at a plurality of moments; controlling the sliding window to slide in the target data column according to the time sequence corresponding to the moments so as to obtain a plurality of pressure differences corresponding to the target battery cell at the moments; calculating a plurality of differential pressure deviation degrees corresponding to a plurality of differential pressures according to the differential pressures;
according to the differential pressures, calculating a plurality of differential pressure deviations corresponding to the differential pressures comprises the following steps: acquiring a preset pressure difference; determining a differential pressure average value of a plurality of differential pressures; and calculating a plurality of differential pressure deviation degrees according to the differential pressure, the differential pressure average value and the preset differential pressure.
2. The method of claim 1, wherein acquiring and processing the monitored data of the target vehicle over the preset period of time to obtain the valid data of the target vehicle in the stationary scenario comprises:
removing first scene data and second scene data contained in the monitoring data to obtain standing scene data, wherein the first scene data is data corresponding to the target vehicle in a driving scene, and the second scene data is data corresponding to the target vehicle in a charging scene;
and cleaning the data of the static scene data, and eliminating invalid data in the static scene data to obtain the valid data.
3. The method according to claim 2, wherein the invalid data comprises at least the following data:
the voltage value uploaded after the voltage acquisition line is disconnected;
mileage data, remaining power data, current data, and charge state data, which are not within respective corresponding preset ranges;
and the target vehicle is in a charging state, and the corresponding monitoring data is generated when the battery current of the target vehicle is greater than zero.
4. A method according to any one of claims 1 to 3, wherein determining whether each of the cells is abnormal within the preset time period according to the corresponding plurality of differential pressure deviations of each of the cells comprises:
if the deviation degree of the battery cell corresponding to the preset time exceeds a preset range and the differential pressure deviation degree corresponding to the next time adjacent to the preset time also exceeds the preset range, determining that the battery cell is abnormal.
5. The method of claim 4, wherein after determining that the cell is abnormal, the method further comprises:
and sending out early warning information according to the abnormality to remind the battery cell of the abnormality.
6. An apparatus for determining the occurrence of an abnormality in the voltage of a battery cell, comprising:
the first processing unit is used for acquiring and processing monitoring data of the target vehicle in a preset time period to obtain effective data of the target vehicle in a static scene;
the second processing unit is used for processing the effective data into a corresponding effective data table, wherein the effective data table comprises a plurality of rows of data, and each row of data correspondingly comprises voltages corresponding to a plurality of battery cells at the same moment;
the third processing unit is used for processing the voltage data contained in the effective data table according to a sliding window algorithm so as to obtain a plurality of differential pressure deviations corresponding to a plurality of battery cells at a plurality of moments;
the first determining unit is used for determining whether each electric core is abnormal in the preset time period according to the differential pressure deviation degree corresponding to each electric core;
the third processing unit includes: the first determining subunit is used for determining the number of voltages contained in a sliding window in the sliding window algorithm; the second determining subunit is used for determining a target data column, wherein the target data column comprises voltage values corresponding to the target battery cell at a plurality of moments; the control subunit is used for controlling the sliding window to slide in the target data column according to the time sequence corresponding to the multiple moments so as to obtain multiple pressure differences corresponding to the target battery cell at the multiple moments; the calculating subunit is used for calculating a plurality of differential pressure deviation degrees corresponding to the differential pressures according to the differential pressures;
the computing subunit includes: the acquisition module is used for acquiring a preset pressure difference; the determining module is used for determining a differential pressure average value of a plurality of differential pressures; the calculating module is used for calculating a plurality of differential pressure deviation degrees according to the differential pressure, the differential pressure average value and the preset differential pressure.
7. A computer-readable storage medium, characterized in that the computer-readable storage medium includes a stored program, wherein the program, when run, controls a device in which the computer-readable storage medium is located to execute a method of determining that an abnormality occurs in a cell voltage according to any one of claims 1 to 5.
8. A processor for running a program, wherein the program runs to perform a method of determining that an abnormality has occurred in a cell voltage according to any one of claims 1 to 5.
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| CN114705998B (en) * | 2022-04-28 | 2024-09-13 | 中国第一汽车股份有限公司 | Battery abnormality identification method and device, storage medium and vehicle |
| CN115840153B (en) * | 2022-12-06 | 2024-10-01 | 北汽福田汽车股份有限公司 | Battery detection method, device storage medium and electronic equipment |
| CN116106757B (en) * | 2022-12-06 | 2024-10-01 | 北汽福田汽车股份有限公司 | Battery cell detection method and device, storage medium and electronic equipment |
| CN116125325B (en) * | 2022-12-06 | 2024-10-01 | 北汽福田汽车股份有限公司 | Method and device for detecting consistency of battery cells, vehicle and storage medium |
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| CN110907833B (en) * | 2019-10-16 | 2021-01-29 | 北京理工大学 | Power battery fault diagnosis method based on sliding window |
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