CN115840153A - Battery detection method, device storage medium and electronic equipment - Google Patents

Battery detection method, device storage medium and electronic equipment Download PDF

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Publication number
CN115840153A
CN115840153A CN202211559674.6A CN202211559674A CN115840153A CN 115840153 A CN115840153 A CN 115840153A CN 202211559674 A CN202211559674 A CN 202211559674A CN 115840153 A CN115840153 A CN 115840153A
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target
battery
voltage
voltage deviation
abnormal condition
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高雅
陈娟
张睿
石强
徐琛琛
邵赓华
郭凤刚
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Beiqi Foton Motor Co Ltd
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Beiqi Foton Motor Co Ltd
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    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/10Energy storage using batteries

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Abstract

The present disclosure relates to a battery detection method, a device storage medium, and an electronic apparatus, to improve accuracy of detecting whether a voltage sampling line of a battery is abnormal. The method comprises the following steps: acquiring target voltage data of a plurality of battery cells of a battery, wherein the target voltage data of the plurality of battery cells are target voltage values of the plurality of battery cells at a plurality of moments; determining target voltage deviation values corresponding to the plurality of battery cells according to the target voltage data of the plurality of battery cells; determining a voltage deviation upper limit threshold and a voltage deviation lower limit threshold of the battery according to the target voltage deviation values corresponding to the plurality of battery cells; and detecting whether a voltage sampling line of the battery is abnormal or not according to the target voltage deviation values corresponding to the plurality of battery cells, the voltage deviation upper limit threshold value and the voltage deviation lower limit threshold value of the battery, wherein the voltage sampling line is used for collecting the voltage of the battery cells.

Description

Battery detection method, device storage medium and electronic equipment
Technical Field
The present disclosure relates to the field of battery technologies, and in particular, to a battery detection method, an apparatus storage medium, and an electronic device.
Background
The battery management system of the new energy vehicle needs to determine the working state and the control strategy according to the voltage value of each battery cell in the battery, so that the judgment of the voltage value of each battery cell and the control strategy has direct influence. If the cell voltage sampling line is abnormal, the acquired voltage value is inaccurate, and then the battery is overcharged or overdischarged, so that safety accidents of vehicles are caused.
In the related art, the method for detecting the abnormal collection of the battery voltage mainly judges whether the voltage sampling line of the battery is abnormal or not by collecting whether the battery voltage meets the preset fault condition in the corresponding working state or not in real time. However, whether the voltage sampling line of the battery is abnormal or not is judged based on the preset fault condition, so that the voltage sampling line is easily influenced by accidental voltage abnormal data to be misjudged, and the accuracy is low.
Disclosure of Invention
The present disclosure provides a battery detection method, a device storage medium, and an electronic apparatus, so as to solve the problem of low accuracy of a detection method for battery voltage acquisition abnormality in the related art.
In order to achieve the above object, a first aspect of the present disclosure provides a battery inspection method, including:
acquiring target voltage data of a plurality of battery cells of a battery, wherein the target voltage data of the plurality of battery cells are target voltage values of the plurality of battery cells at a plurality of moments;
determining target voltage deviation values corresponding to the plurality of battery cells according to the target voltage data of the plurality of battery cells;
determining a voltage deviation upper limit threshold and a voltage deviation lower limit threshold of the battery according to the target voltage deviation values corresponding to the plurality of battery cells;
and detecting whether a voltage sampling line of the battery is abnormal or not according to the target voltage deviation values corresponding to the plurality of battery cells, the voltage deviation upper limit threshold value and the voltage deviation lower limit threshold value of the battery, wherein the voltage sampling line is used for collecting the voltage of the battery cells.
Optionally, the determining, according to the target voltage data of the plurality of battery cells, a target voltage deviation value corresponding to each of the plurality of battery cells includes:
determining a median value of the target voltage data of the plurality of cells for the target voltage data of each of the plurality of cells;
and determining differences between the target voltage data of the plurality of battery cells and the median values, and taking the differences corresponding to the plurality of battery cells as target voltage deviation values corresponding to the plurality of battery cells.
Optionally, the determining, according to the target voltage data of the plurality of battery cells, a target voltage deviation value corresponding to each of the plurality of battery cells includes:
determining a median value of the target voltage data of the plurality of battery cells according to the target voltage data of each time of the plurality of battery cells, and determining a difference value between the target voltage data of the plurality of battery cells and the median value;
and for each electric core, dividing the electric core into a preset number of time periods according to a plurality of moments of the electric core, and determining the sum of difference values corresponding to each time period of the electric core as a target voltage deviation value corresponding to the electric core.
Optionally, the determining, according to the target voltage deviation value, the voltage deviation upper threshold and the voltage deviation lower threshold of the battery corresponding to each of the plurality of battery cells, includes:
for each battery cell, determining a target upper limit threshold and a target lower limit threshold of the battery cell according to a target voltage deviation value corresponding to the battery cell;
and determining the voltage deviation upper limit threshold and the voltage deviation lower limit threshold of the battery according to the target upper limit threshold and the target lower limit threshold of the plurality of battery cells.
Optionally, the detecting whether the voltage sampling line of the battery is abnormal according to the target voltage deviation value corresponding to each of the plurality of battery cells, the voltage deviation upper threshold of the battery, and the voltage deviation lower threshold of the battery includes:
determining a first target cell satisfying a first abnormal condition among the plurality of cells;
determining whether a second target battery cell meeting a second abnormal condition exists in adjacent battery cells of the first target battery cell aiming at each first target battery cell, and if so, determining that a voltage sampling line between the first target battery cell and the second target battery cell is abnormal;
the first abnormal condition is that a target voltage deviation value is smaller than the voltage deviation lower-limit threshold value, and the second abnormal condition is that the target voltage deviation value is larger than the voltage deviation upper-limit threshold value, or the first abnormal condition is that the target voltage deviation value is larger than the voltage deviation upper-limit threshold value, and the second abnormal condition is that the target voltage deviation value is smaller than the voltage deviation lower-limit threshold value.
Optionally, the determining, for each first target cell, whether a second target cell meeting a second abnormal condition exists in adjacent cells of the first target cell, and if so, determining that a voltage sampling line between the first target cell and the second target cell is abnormal includes:
for each first target cell, determining whether a second target cell meeting a second abnormal condition exists in adjacent cells of the first target cell, if so, determining a voltage sampling line between the first target cell and the second target cell as a target voltage sampling line, and counting the number of times that the first target cell meets the first abnormal condition and the second target cell meets the second abnormal condition;
if the first target cell meets the first abnormal condition and the second target cell meets the second abnormal condition reaches a preset number, and the time length of the first target cell with the preset number meeting the first abnormal condition and the time length of the second target cell meeting the second abnormal condition is less than or equal to a first preset time length, determining that the target voltage sampling line is abnormal, and taking the time when the first target cell meets the first abnormal condition and the second target cell meets the second abnormal condition as the time when the target voltage sampling line is abnormal.
Optionally, the method further comprises:
if the first target cell meets the first abnormal condition and the second target cell meets the second abnormal condition for a preset number of times, and the time length of the first target cell meeting the first abnormal condition and the second target cell meeting the second abnormal condition for the preset number of times is longer than the first preset time length, recording the time when the first target cell meets the first abnormal condition and the second target cell meets the second abnormal condition; and/or
If the first target battery cell meets the first abnormal condition and the second target battery cell meets the second abnormal condition, the number of times that the first target battery cell meets the first abnormal condition and the second target battery cell meets the second abnormal condition is not reached to the preset number of times within a second preset time, and the number of times that the first target battery cell meets the first abnormal condition and the second target battery cell meets the second abnormal condition is initialized.
The second aspect of the present disclosure also provides a battery detection apparatus, the apparatus comprising:
the battery management system comprises an acquisition module, a storage module and a control module, wherein the acquisition module is used for acquiring target voltage data of a plurality of battery cells of a battery, and the target voltage data of the plurality of battery cells are target voltage values of the plurality of battery cells at a plurality of moments;
a deviation determining module, configured to determine, according to the target voltage data of the multiple battery cells, target voltage deviation values corresponding to the multiple battery cells respectively;
a threshold determining module, configured to determine, according to target voltage deviation values corresponding to the multiple battery cells, a voltage deviation upper threshold and a voltage deviation lower threshold of the battery;
and the detection module is used for detecting whether a voltage sampling line of the battery is abnormal or not according to the target voltage deviation values corresponding to the plurality of battery cores, the voltage deviation upper limit threshold value and the voltage deviation lower limit threshold value of the battery, wherein the voltage sampling line is used for collecting the voltage of the battery cores.
The third aspect of the present disclosure also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method of any one of the above first aspects.
A fourth aspect of the present disclosure also provides an electronic device, including:
a memory having a computer program stored thereon;
a processor for executing the computer program in the memory to implement the steps of the method of any of the first aspects above.
Through the technical scheme, the following technical effects can be at least achieved:
the method comprises the steps of determining a voltage deviation value by obtaining voltage data of a plurality of battery cores of the battery, determining a voltage deviation upper limit threshold value and a voltage deviation lower limit threshold value according to the voltage deviation value, and detecting whether a voltage sampling line of the battery is abnormal or not according to the voltage deviation value, the voltage deviation upper limit threshold value and the voltage deviation lower limit threshold value. In the disclosure, since the target voltage values of the plurality of battery cells of the battery at a plurality of times are obtained, and the voltage deviation value, the voltage deviation upper threshold and the voltage deviation lower threshold are determined to detect whether the voltage sampling line of the battery is abnormal, it is possible to avoid misjudgment due to the influence of accidental voltage abnormal data, and improve the accuracy of detecting whether the voltage sampling line of the battery is abnormal.
Additional features and advantages of the disclosure will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure without limiting the disclosure. In the drawings:
fig. 1 is a schematic flow chart of a battery detection method provided in an embodiment of the present disclosure;
fig. 2 is a schematic diagram of a plurality of cells and voltage sampling lines in a battery;
fig. 3 is a block diagram of a battery detection apparatus provided in an embodiment of the present disclosure;
fig. 4 is a schematic diagram of an electronic device shown in an embodiment of the disclosure.
Detailed Description
The following detailed description of specific embodiments of the present disclosure is provided in connection with the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the present disclosure, are given by way of illustration and explanation only, not limitation.
It should be noted that all actions of acquiring signals, information or data in the present disclosure are performed under the premise of complying with the corresponding data protection regulation policy of the country of the location and obtaining the authorization given by the owner of the corresponding device.
It should be understood that the various steps recited in the method embodiments of the present disclosure may be performed in a different order, and/or performed in parallel. Moreover, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the present disclosure is not limited in this respect. The term "include" and variations thereof as used herein are open-ended, i.e., "including but not limited to". The term "based on" is "based, at least in part, on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". Relevant definitions for other terms will be given in the following description.
It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units. It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.
The new energy automobile has various accidents, which may be sudden accidents of the power battery or the result of gradual accumulated risks, wherein the abnormal voltage sampling line of the single battery cell of the power battery system is one of the reasons of safety accidents. Any accident problem can be reflected on a data level, namely, accidents of new energy vehicles usually have certain pattern characteristics, and the high occurrence frequency of the characteristics means higher accident risk of the vehicles, so that finding and identifying the accident characteristics are particularly important for preventing safety accidents of power batteries.
In the related art, the method for detecting the abnormal voltage collection of the battery judges whether the voltage sampling line of the battery is abnormal or not by collecting the cell voltages of any cell battery in a power-on self-checking state, a discharging state and a charging state in real time and detecting whether the battery voltage meets the preset fault condition in the corresponding working state or not. However, the method needs to acquire the voltage of the battery monomer in real time through the acquisition module, is difficult to realize and low in efficiency, and has a large calculation amount through calculating the data of the voltage of the battery monomer in the power-on self-test state, the discharge state and the charge state. In addition, whether the voltage sampling line of the battery is abnormal or not is judged based on the preset fault condition, the voltage sampling line is easily influenced by accidental voltage abnormal data to be misjudged, and the accuracy is low.
In view of the above, the present disclosure provides a battery detection method, a battery detection apparatus, a storage medium, and an electronic device to solve the above technical problems.
It is worth noting that the voltage data related to the embodiment of the present disclosure is obtained based on the voltage data acquired by the voltage sampling line of the battery, and it is not necessary to additionally provide an acquisition module to acquire the voltage of the battery, which is easy to implement and does not need extra cost.
The following provides a detailed description of embodiments of the present disclosure.
The embodiment of the present disclosure provides a battery detection method, referring to fig. 1, the method includes:
s101, obtaining target voltage data of a plurality of battery cores of the battery.
The target voltage data of the plurality of battery cells are target voltage values of the plurality of battery cells at a plurality of moments.
S102, determining target voltage deviation values corresponding to the multiple battery cells according to the target voltage data of the multiple battery cells.
S103, determining a voltage deviation upper limit threshold and a voltage deviation lower limit threshold of the battery according to the target voltage deviation values corresponding to the battery cores.
And S104, detecting whether the voltage sampling line of the battery is abnormal or not according to the target voltage deviation value corresponding to each of the plurality of battery cores, the voltage deviation upper limit threshold value and the voltage deviation lower limit threshold value of the battery.
The voltage sampling line is used for collecting the cell voltage.
By adopting the method, the voltage deviation value is determined by acquiring the voltage data of the plurality of battery cells of the battery, the voltage deviation upper limit threshold and the voltage deviation lower limit threshold are further determined according to the voltage deviation value, and whether the voltage sampling line of the battery is abnormal or not is detected through the voltage deviation value, the voltage deviation upper limit threshold and the voltage deviation lower limit threshold. Compared with the prior art that whether the voltage sampling line of the battery is abnormal is judged by directly utilizing the voltage data, in the disclosure, the target voltage values of a plurality of electric cores of the battery at a plurality of moments are obtained, and the voltage deviation value, the voltage deviation upper limit threshold value and the voltage deviation lower limit threshold value are determined to detect whether the voltage sampling line of the battery is abnormal, so that misjudgment caused by the influence of accidental voltage abnormal data can be avoided, and the accuracy of detecting whether the voltage sampling line of the battery is abnormal is improved.
In order to make the battery detection method provided by the present disclosure more understandable to those skilled in the art, the above steps are exemplified in detail below.
In a possible mode, the acquired voltage data of the plurality of battery cells of the battery are processed to obtain target voltage data.
Illustratively, the acquired voltage data includes a collection time, a charge and discharge state of the battery, and a voltage. Firstly, abnormal data such as null values or invalid data (for example, the acquisition time is normally 00. Since the working voltage of a normal cell is 2V to 4.35V, and data other than 1V to 6V usually appears after data transmission error or frame loss, data with a voltage greater than 6V and less than 1V is deleted. Further, after the voltage data is deleted, the voltage data of the charging state is extracted, and target voltage data including acquisition time and voltage is obtained.
It should be noted that, in the related art, the cell voltages in the power-on self-test state, the discharge state, and the charge state need to be calculated, and the calculation amount is large. In the embodiment of the disclosure, the voltage data in the charging state is selected as the target voltage data, so that the calculation amount is reduced, and the voltage data in the charging state is not easily interfered by other factors. For example, the battery is in a discharge state during the running of the vehicle, and the voltage data is susceptible to a large fluctuation by the driving mode. Therefore, the voltage data in the charging state is selected as the target voltage data, interference of other factors is avoided, and whether the voltage sampling line is abnormal or not can be reflected.
In a possible manner, determining the target voltage deviation value corresponding to each of the plurality of battery cells according to the target voltage data of the plurality of battery cells may be: the method comprises the steps of determining a median value of target voltage data of a plurality of battery cells according to the target voltage data of the plurality of battery cells at each moment, determining a difference value between the target voltage data of the plurality of battery cells and the median value, and taking the difference value corresponding to each of the plurality of battery cells as a target voltage deviation value corresponding to each of the plurality of battery cells.
For example, the target voltage data may be a matrix data with N columns and T rows, where N represents N cells and T represents a collection time (usually, voltage data is collected every 10 seconds). First, for each row, a median (also called a median) of the target voltage data of the N battery cells is determined, and then the target voltage data of the N battery cells is subtracted from the median to obtain target voltage deviation values of N columns and T rows. Wherein each data in the target voltage data is a voltage V ij I denotes the ith column (cell), j denotes the thj rows (acquisition time), and each data in the target voltage deviation value is (V) ij -V j ),V j Representing the median voltage value of row j.
It should be noted that, for each row, an average value of the target voltage data of the N battery cells may also be determined, and then the target voltage data of the N battery cells is subtracted from the average value to obtain target voltage deviation values of N columns and T rows. However, considering that the voltage median can represent the probability distribution of the voltage data, and the median data is not affected by the extreme value data, and can reflect the distribution condition of the cell voltage, the method and the device extract the deviation data according to the median, and analyze the relation between the deviation data and the abnormal voltage sampling line.
In a possible manner, determining, according to the target voltage data of the plurality of battery cells, a target voltage deviation value corresponding to each of the plurality of battery cells may be: firstly, aiming at target voltage data of a plurality of battery cells at each moment, determining a median value of the target voltage data of the plurality of battery cells, and determining a difference value between the target voltage data of the plurality of battery cells and the median value. And then, for each battery cell, dividing the battery cell into a preset number of time periods according to a plurality of moments of the battery cell, and determining the sum of the difference values corresponding to each time period of the battery cell as a target voltage deviation value corresponding to the battery cell.
For example, each of the difference data corresponding to the plurality of battery cells is (V) ij -V j ),V ij Represents the voltage, V, of the ith column (cell) at the jth row (acquisition time) j Representing the median voltage value of row j. Then, for each cell, the cell is divided into a preset number of time periods, for example, 1000 rows of data, and into 500 time periods according to a plurality of moments of the cell, where each time period includes 20 rows of data. Alternatively, a preset number of time instants may be divided into a period, for example, every 25 rows of data as a period, and the like, which is not limited by the present disclosure. Finally, for each cell, the sum of the difference values of each time interval is used as a target voltage deviation value corresponding to the cell, namely, the voltage data of the N columns and the T rows is changed into the voltage deviation value of the N columns and the preset number (or T/preset number) rows, so that the voltage deviation value is smoothed, and the noise data are removed.
In a possible manner, according to the target voltage deviation value corresponding to each of the plurality of battery cells, the voltage deviation upper threshold and the voltage deviation lower threshold of the battery may be: and determining a target upper limit threshold and a target lower limit threshold of the battery cell according to the target voltage deviation value corresponding to the battery cell for each battery cell, and then determining a voltage deviation upper limit threshold and a voltage deviation lower limit threshold of the battery according to the target upper limit thresholds and the target lower limit thresholds of the plurality of battery cells.
Illustratively, for each cell, a 98-quantile and a 2-quantile of its voltage deviation value are determined. That is, the voltage deviation values of each cell are arranged in descending order, the 98 quantile is the (L × 98%) th voltage deviation value, and L represents the total number of voltage deviation values of the cell. If (L × 98%) is not an integer, for example, 98.11, the average of the 98 th voltage deviation value and the 99 th voltage deviation value is taken as the 98 quantile. The calculation mode of the 2 quantiles can refer to the calculation mode of the 98 quantiles, and finally the target upper limit threshold (98 quantiles) and the target lower limit threshold (2 quantiles) of each battery core are obtained.
Further, after obtaining a target upper limit threshold (98 quantiles) and a target lower limit threshold (2 quantiles) of each battery core, arranging the target upper limit thresholds of all the battery cores in a sequence from small to large, and calculating the 98 quantiles as a voltage deviation upper limit threshold of the battery. And arranging the target lower limit threshold values of all the battery cores in a sequence from small to large, and calculating a 2-quantile number as a voltage deviation lower limit threshold value of the battery.
It should be noted that, the above 98 quantiles and 2 quantiles are used as an exemplary illustration for calculating the upper and lower limit thresholds, and may be adjusted according to the requirement in practical application, for example, 95 quantiles and 5 quantiles, 90 quantiles and 10 quantiles, and the like may be calculated, and the disclosure does not limit this.
In a possible manner, detecting whether a voltage sampling line of the battery is abnormal according to a target voltage deviation value corresponding to each of the plurality of battery cells, a voltage deviation upper threshold and a voltage deviation lower threshold of the battery, includes: the method comprises the steps of firstly determining a first target battery cell meeting a first abnormal condition in a plurality of battery cells, then determining whether a second target battery cell meeting a second abnormal condition exists in adjacent battery cells of the first target battery cell aiming at each first target battery cell, and if so, determining that a voltage sampling line between the first target battery cell and the second target battery cell is abnormal. The first abnormal condition is that the target voltage deviation value is smaller than the voltage deviation lower-limit threshold value, and the second abnormal condition is that the target voltage deviation value is larger than the voltage deviation upper-limit threshold value, or the first abnormal condition is that the target voltage deviation value is larger than the voltage deviation upper-limit threshold value, and the second abnormal condition is that the target voltage deviation value is smaller than the voltage deviation lower-limit threshold value.
For example, referring to fig. 2, the battery is formed by connecting a plurality of single cells in series, adjacent cells share a sampling line, voltage acquisition is potential difference (voltage) obtained by sequentially subtracting a negative point as a reference point, if the voltage sampling line is loose, voltages of the adjacent cells are higher and lower, for example, if the voltage sampling line 2 is abnormal, one of V1 (voltage of cell 1) and V2 (voltage of cell 2) is higher and the other is lower. Therefore, it may be determined that the first target cell whose voltage deviation value is smaller than the voltage deviation lower-limit threshold is determined, and then it is determined whether a second target cell whose voltage deviation value is larger than the voltage deviation upper-limit threshold exists in the adjacent cells of the first target cell, and if so, it is determined that the voltage sampling line between the first target cell and the second target cell is abnormal. Or determining a first target electric core with a voltage deviation value larger than a voltage deviation upper-limit threshold, then judging whether a second target electric core with a voltage deviation value smaller than a voltage deviation lower-limit threshold exists in adjacent electric cores of the first target electric core, and if so, determining that a voltage sampling line between the first target electric core and the second target electric core is abnormal.
It should be noted that, in the above processes of calculating the voltage deviation upper threshold, the voltage deviation lower threshold and judging the voltage sampling line is abnormal, each voltage deviation value in the target voltage deviation values may be a difference value between one target voltage data and a median value, or a sum of differences between a plurality of target voltage data and median values. Preferably, the sum of the differences between the plurality of target voltage data and the median is used as the target voltage deviation value, so that the voltage deviation value can be smoothed, the calculation amount can be reduced, and the detection efficiency can be improved.
In a possible manner, for each first target cell, determining whether a second target cell meeting a second abnormal condition exists in adjacent cells of the first target cell, and if so, determining that a voltage sampling line between the first target cell and the second target cell is abnormal may be: and for each first target battery cell, determining whether a second target battery cell meeting a second abnormal condition exists in adjacent battery cells of the first target battery cell, if so, determining a voltage sampling line between the first target battery cell and the second target battery cell as a target voltage sampling line, and counting the times that the first target battery cell meets the first abnormal condition and the second target battery cell meets the second abnormal condition. If the number of times that the first target cell meets the first abnormal condition and the second target cell meets the second abnormal condition reaches a preset number of times, and the duration that the first target cell with the preset number of times meets the first abnormal condition and the second target cell meets the second abnormal condition is less than or equal to a first preset duration, determining that the target voltage sampling line is abnormal, and taking the moment that the first target cell meets the first abnormal condition and the second target cell meets the second abnormal condition as the moment that the target voltage sampling line is abnormal.
For example, referring to fig. 2, if the cell 1 satisfies the first abnormal condition and the cell 2 satisfies the second abnormal condition, the voltage sampling line 2 is determined as the target voltage sampling line. Then, when the number of times that the electric core 1 meets the first abnormal condition and the electric core 2 meets the second abnormal condition reaches a preset number of times, whether the duration that the electric core 1 with the preset number of times meets the first abnormal condition and the electric core 2 meets the second abnormal condition is smaller than or equal to a first preset duration is judged, and if yes, the voltage sampling line 2 is determined to be abnormal. The method further avoids misjudgment caused by accidental voltage abnormal data, and improves the accuracy of detecting whether the voltage sampling line of the battery is abnormal. The preset number and the first preset time period may be determined according to a requirement, for example, the preset number is 3, the first preset time period is 15 hours, and the like, which is not limited in this disclosure.
Further, after the voltage sampling line 2 is determined to be abnormal, the serial numbers of the battery cells 1 and 2 in the battery and the time when the voltage sampling line 2 is abnormal for the first time can be output, so that a vehicle user or a maintenance worker is reminded that the voltage sampling line is abnormal, the inspection and the maintenance are carried out, and the safety accident caused by the abnormal voltage sampling line is avoided. Of course, if the voltage sampling line also has a unique identification number, and the number of the voltage sampling line can be determined according to the first target electric core and the second target electric core, the number of the voltage sampling line can also be directly output, and the disclosure does not limit this.
In a possible manner, if the number of times that the first target battery cell satisfies the first abnormal condition and the second target battery cell satisfies the second abnormal condition reaches a preset number of times, and the duration that the first target battery cell for the preset number of times satisfies the first abnormal condition and the second target battery cell satisfies the second abnormal condition is longer than a first preset duration, the time when the first target battery cell satisfies the first abnormal condition and the second target battery cell satisfies the second abnormal condition is recorded. And if the number of times that the first target battery cell meets the first abnormal condition and the second target battery cell meets the second abnormal condition does not reach the preset number of times within the second preset time, initializing the number of times that the first target battery cell meets the first abnormal condition and the second target battery cell meets the second abnormal condition.
For example, as illustrated above, if the preset number of times of occurrence of the first abnormal condition of the battery cell 1 and the second abnormal condition of the battery cell 2 are longer than the first preset time, in this case, the voltage collected by the battery cell may be sporadically abnormal, and therefore it may not be determined that the voltage sampling line 2 is abnormal, but it may not be excluded that the voltage sampling line 2 is abnormal. Therefore, the time when the electric core 1 meets the first abnormal condition and the electric core 2 meets the second abnormal condition at this time can be recorded, and the times when the electric core 1 meets the first abnormal condition and the electric core 2 meets the second abnormal condition are continuously counted. That is to say, if the number of times that the battery cell 1 meets the first abnormal condition and the battery cell 2 meets the second abnormal condition reaches the preset number of times within the next preset duration after the time, the time is taken as the time when the voltage sampling line 2 is abnormal, and so on.
For example, if the number of times that the battery cell 1 satisfies the first abnormal condition and the battery cell 2 satisfies the second abnormal condition does not reach the preset number of times within the second preset duration, in this case, the voltage collected by the battery cell is sporadically abnormal, so the number of times that the battery cell 1 satisfies the first abnormal condition and the battery cell 2 satisfies the second abnormal condition may be initialized, that is, the voltage sampling line 2 is determined as the target voltage sampling line and then the number of times is continuously counted when the battery cell 1 satisfies the first abnormal condition and the battery cell 2 satisfies the second abnormal condition next time. The second preset time period is longer than the first preset time period, and may be determined according to a requirement, for example, three days, which is not limited by the present disclosure. Therefore, misjudgment caused by accidental voltage abnormal data is further avoided, and the accuracy of detecting whether the voltage sampling line of the battery is abnormal is improved.
By adopting the method, the voltage data in the charging state is selected as the target voltage data, so that the calculated amount is reduced, and the voltage data in the charging state is not easily interfered by other factors. And the voltage deviation value is determined through the voltage data of a plurality of battery cores of the battery and the median voltage, and then the voltage deviation upper limit threshold and the voltage deviation lower limit threshold are determined to detect whether the voltage sampling line of the battery is abnormal or not, so that misjudgment caused by the influence of accidental voltage abnormal data is avoided, and the detection accuracy is improved. In addition, the times that the first target battery cell meets the first abnormal condition and the second target battery cell meets the second abnormal condition are counted, so that misjudgment caused by accidental voltage abnormal data is further avoided, and the detection accuracy is improved.
Based on the same inventive concept, the disclosed embodiment provides a battery detection apparatus, and referring to fig. 3, the apparatus 300 includes:
an obtaining module 301, configured to obtain target voltage data of a plurality of battery cells of a battery, where the target voltage data of the plurality of battery cells are target voltage values of the plurality of battery cells at a plurality of times.
A deviation determining module 302, configured to determine, according to the target voltage data of the multiple battery cells, target voltage deviation values corresponding to the multiple battery cells, respectively.
A threshold determining module 303, configured to determine, according to the target voltage deviation values corresponding to the multiple battery cells, a voltage deviation upper threshold and a voltage deviation lower threshold of the battery.
The detecting module 304 is configured to detect whether a voltage sampling line of the battery is abnormal according to target voltage deviation values corresponding to the plurality of battery cells, a voltage deviation upper threshold and a voltage deviation lower threshold of the battery, where the voltage sampling line is used to collect a battery cell voltage.
By adopting the device, the voltage deviation value is determined by acquiring the voltage data of a plurality of battery cores of the battery, the voltage deviation upper limit threshold and the voltage deviation lower limit threshold are further determined according to the voltage deviation value, and whether the voltage sampling line of the battery is abnormal or not is detected through the voltage deviation value, the voltage deviation upper limit threshold and the voltage deviation lower limit threshold. In the disclosure, since the target voltage values of the plurality of battery cells of the battery at the plurality of times are obtained, and the voltage deviation value, the voltage deviation upper threshold and the voltage deviation lower threshold are determined accordingly to detect whether the voltage sampling line of the battery is abnormal, it is possible to avoid misjudgment due to the influence of accidental voltage abnormal data, and improve the accuracy of detecting whether the voltage sampling line of the battery is abnormal.
Optionally, the deviation determining module 302 is configured to:
determining a median value of the target voltage data of the plurality of cells for the target voltage data of each of the plurality of cells;
and determining differences between the target voltage data of the plurality of battery cells and the median values, and taking the differences corresponding to the plurality of battery cells as target voltage deviation values corresponding to the plurality of battery cells.
Optionally, the deviation determining module 302 is configured to:
determining a median value of the target voltage data of the plurality of battery cells according to the target voltage data of each time of the plurality of battery cells, and determining a difference value between the target voltage data of the plurality of battery cells and the median value;
and for each battery cell, dividing the battery cell into a preset number of time periods according to a plurality of moments of the battery cell, and determining the sum of the difference values corresponding to each time period of the battery cell as a target voltage deviation value corresponding to the battery cell.
Optionally, the threshold determining module 303 is configured to:
for each battery cell, determining a target upper limit threshold and a target lower limit threshold of the battery cell according to a target voltage deviation value corresponding to the battery cell;
and determining the voltage deviation upper limit threshold and the voltage deviation lower limit threshold of the battery according to the target upper limit threshold and the target lower limit threshold of the plurality of battery cells.
Optionally, the detecting module 304 is configured to:
determining a first target cell satisfying a first abnormal condition among the plurality of cells;
determining, for each first target cell, whether a second target cell meeting a second abnormal condition exists in adjacent cells of the first target cell, and if yes, determining that a voltage sampling line between the first target cell and the second target cell is abnormal;
the first abnormal condition is that a target voltage deviation value is smaller than the voltage deviation lower-limit threshold value, and the second abnormal condition is that the target voltage deviation value is larger than the voltage deviation upper-limit threshold value, or the first abnormal condition is that the target voltage deviation value is larger than the voltage deviation upper-limit threshold value, and the second abnormal condition is that the target voltage deviation value is smaller than the voltage deviation lower-limit threshold value.
Optionally, the detection module 304 is further configured to:
for each first target cell, determining whether a second target cell meeting a second abnormal condition exists in adjacent cells of the first target cell, if so, determining a voltage sampling line between the first target cell and the second target cell as a target voltage sampling line, and counting the number of times that the first target cell meets the first abnormal condition and the second target cell meets the second abnormal condition;
if the first target cell meets the first abnormal condition and the second target cell meets the second abnormal condition reaches a preset number, and the time length of the first target cell with the preset number meeting the first abnormal condition and the time length of the second target cell meeting the second abnormal condition is less than or equal to a first preset time length, determining that the target voltage sampling line is abnormal, and taking the time when the first target cell meets the first abnormal condition and the second target cell meets the second abnormal condition as the time when the target voltage sampling line is abnormal.
Optionally, the apparatus 300 further comprises:
a recording module, configured to record a time when the first target cell satisfies the first abnormal condition and the second target cell satisfies the second abnormal condition at this time, if the number of times that the first target cell satisfies the first abnormal condition and the second target cell satisfies the second abnormal condition reaches a preset number of times, and a duration that the first target cell that occurs the preset number of times satisfies the first abnormal condition and the second target cell satisfies the second abnormal condition is longer than the first preset duration;
and the initialization module is used for initializing the times that the first target electric core meets the first abnormal condition and the second target electric core meets the second abnormal condition if the times that the first target electric core meets the first abnormal condition and the second target electric core meets the second abnormal condition do not reach the preset times within a second preset time length.
With regard to the apparatus in the above embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be described in detail here.
Based on the same inventive concept, the disclosed embodiments also provide a non-transitory computer-readable storage medium on which a computer program is stored, which, when executed by a processor, implements the steps of the battery detection method.
Based on the same inventive concept, an embodiment of the present disclosure further provides an electronic device, including:
a memory having a computer program stored thereon;
a processor for executing the computer program in the memory to implement the steps of the above-described battery detection method.
Fig. 4 is a block diagram illustrating an electronic device 400 in accordance with an example embodiment. Referring to fig. 4, the electronic device 400 comprises a processor 422, which may be one or more in number, and a memory 432 for storing computer programs executable by the processor 422. The computer program stored in memory 432 may include one or more modules that each correspond to a set of instructions. Further, the processor 422 may be configured to execute the computer program to perform the battery detection method described above.
Additionally, electronic device 400 may also include a power component 426 and a communication component 450, the power component 426 may be configured to perform power management of the electronic device 400, and the communication component 450 may be configured to enable communication, e.g., wired or wireless communication, of the electronic device 400. The electronic device 400 may also include input/output (I/O) interfaces 458. The electronic device 400 may operate based on an operating system, such as Windows Server, stored in the memory 432 TM ,Mac OS X TM ,Unix TM ,Linux TM And so on.
In another exemplary embodiment, a computer readable storage medium comprising program instructions which, when executed by a processor, implement the steps of the battery detection method described above is also provided. For example, the non-transitory computer readable storage medium may be the memory 432 described above that includes program instructions executable by the processor 422 of the electronic device 400 to perform the battery detection method described above.
In another exemplary embodiment, a computer program product is also provided, which comprises a computer program executable by a programmable apparatus, the computer program having code portions for performing the above-mentioned battery detection method when executed by the programmable apparatus.
The preferred embodiments of the present disclosure are described in detail with reference to the accompanying drawings, however, the present disclosure is not limited to the specific details of the above embodiments, and various simple modifications may be made to the technical solution of the present disclosure within the technical idea of the present disclosure, and these simple modifications all belong to the protection scope of the present disclosure.
It should be noted that, in the foregoing embodiments, various features described in the above embodiments may be combined in any suitable manner, and in order to avoid unnecessary repetition, various combinations that are possible in the present disclosure are not described again.
In addition, any combination of various embodiments of the present disclosure may be made, and the same should be considered as the disclosure of the present disclosure, as long as it does not depart from the spirit of the present disclosure.

Claims (10)

1. A battery testing method, the method comprising:
acquiring target voltage data of a plurality of battery cells of a battery, wherein the target voltage data of the plurality of battery cells are target voltage values of the plurality of battery cells at a plurality of moments;
determining target voltage deviation values corresponding to the plurality of battery cells according to the target voltage data of the plurality of battery cells;
determining a voltage deviation upper limit threshold and a voltage deviation lower limit threshold of the battery according to the target voltage deviation values corresponding to the plurality of battery cells;
and detecting whether a voltage sampling line of the battery is abnormal or not according to the target voltage deviation values corresponding to the plurality of battery cells, the voltage deviation upper limit threshold value and the voltage deviation lower limit threshold value of the battery, wherein the voltage sampling line is used for collecting the voltage of the battery cells.
2. The method of claim 1, wherein the determining, from the target voltage data for the plurality of cells, the target voltage deviation values for the plurality of cells comprises:
determining a median value of the target voltage data of the plurality of cells for the target voltage data of each of the plurality of cells;
determining differences between the target voltage data of the plurality of battery cells and the median values, and taking the differences corresponding to the plurality of battery cells as target voltage deviation values corresponding to the plurality of battery cells.
3. The method of claim 1, wherein determining the target voltage deviation values corresponding to the plurality of cells from the target voltage data for the plurality of cells comprises:
determining a median value of the target voltage data of the plurality of battery cells according to the target voltage data of each time of the plurality of battery cells, and determining a difference value between the target voltage data of the plurality of battery cells and the median value;
and for each electric core, dividing the electric core into a preset number of time periods according to a plurality of moments of the electric core, and determining the sum of difference values corresponding to each time period of the electric core as a target voltage deviation value corresponding to the electric core.
4. The method of claim 1, wherein the determining, according to the target voltage deviation values corresponding to the battery cells, the upper voltage deviation threshold and the lower voltage deviation threshold of the battery, comprises:
for each battery cell, determining a target upper limit threshold and a target lower limit threshold of the battery cell according to a target voltage deviation value corresponding to the battery cell;
and determining a voltage deviation upper limit threshold and a voltage deviation lower limit threshold of the battery according to the target upper limit threshold and the target lower limit threshold of the plurality of battery cells.
5. The method of claim 4, wherein the detecting whether the voltage sampling line of the battery is abnormal according to the target voltage deviation value corresponding to each of the plurality of battery cells, the voltage deviation upper threshold value and the voltage deviation lower threshold value of the battery comprises:
determining a first target cell satisfying a first abnormal condition among the plurality of cells;
determining whether a second target battery cell meeting a second abnormal condition exists in adjacent battery cells of the first target battery cell aiming at each first target battery cell, and if so, determining that a voltage sampling line between the first target battery cell and the second target battery cell is abnormal;
the first abnormal condition is that a target voltage deviation value is smaller than the voltage deviation lower-limit threshold value, and the second abnormal condition is that the target voltage deviation value is larger than the voltage deviation upper-limit threshold value, or the first abnormal condition is that the target voltage deviation value is larger than the voltage deviation upper-limit threshold value, and the second abnormal condition is that the target voltage deviation value is smaller than the voltage deviation lower-limit threshold value.
6. The method of claim 5, wherein the determining, for each first target cell, whether a second target cell meeting a second abnormal condition exists in adjacent cells of the first target cell, and if so, determining that a voltage sampling line between the first target cell and the second target cell is abnormal comprises:
for each first target cell, determining whether a second target cell meeting a second abnormal condition exists in adjacent cells of the first target cell, if so, determining a voltage sampling line between the first target cell and the second target cell as a target voltage sampling line, and counting the number of times that the first target cell meets the first abnormal condition and the second target cell meets the second abnormal condition;
if the first target cell meets the first abnormal condition and the second target cell meets the second abnormal condition reaches a preset number, and the time length of the first target cell with the preset number meeting the first abnormal condition and the time length of the second target cell meeting the second abnormal condition is less than or equal to a first preset time length, determining that the target voltage sampling line is abnormal, and taking the time when the first target cell meets the first abnormal condition and the second target cell meets the second abnormal condition as the time when the target voltage sampling line is abnormal.
7. The method of claim 6, further comprising:
if the first target cell meets the first abnormal condition and the second target cell meets the second abnormal condition for a preset number of times, and the time length of the first target cell meeting the first abnormal condition and the second target cell meeting the second abnormal condition for the preset number of times is longer than the first preset time length, recording the time when the first target cell meets the first abnormal condition and the second target cell meets the second abnormal condition; and/or
If the first target battery cell meets the first abnormal condition and the frequency of the second target battery cell meeting the second abnormal condition does not reach the preset frequency within a second preset duration, initializing the frequency of the first target battery cell meeting the first abnormal condition and the frequency of the second target battery cell meeting the second abnormal condition.
8. A battery testing apparatus, the apparatus comprising:
the battery management system comprises an acquisition module, a storage module and a control module, wherein the acquisition module is used for acquiring target voltage data of a plurality of battery cells of a battery, and the target voltage data of the plurality of battery cells are target voltage values of the plurality of battery cells at a plurality of moments;
the deviation determining module is used for determining target voltage deviation values corresponding to the plurality of battery cells according to the target voltage data of the plurality of battery cells;
a threshold determining module, configured to determine, according to target voltage deviation values corresponding to the multiple battery cells, a voltage deviation upper threshold and a voltage deviation lower threshold of the battery;
and the detection module is used for detecting whether a voltage sampling line of the battery is abnormal or not according to the target voltage deviation values corresponding to the plurality of battery cells, the voltage deviation upper limit threshold value and the voltage deviation lower limit threshold value of the battery, wherein the voltage sampling line is used for collecting the voltage of the battery cells.
9. A non-transitory computer readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
10. An electronic device, comprising:
a memory having a computer program stored thereon;
a processor for executing the computer program in the memory to carry out the steps of the method of any one of claims 1 to 7.
CN202211559674.6A 2022-12-06 2022-12-06 Battery detection method, device storage medium and electronic equipment Pending CN115840153A (en)

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Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018120236A1 (en) * 2016-12-30 2018-07-05 华为技术有限公司 Battery charging method, charging device and terminal equipment
WO2021134829A1 (en) * 2019-12-31 2021-07-08 深圳市普兰德储能技术有限公司 Battery testing system
CN113917348A (en) * 2021-09-29 2022-01-11 一汽解放汽车有限公司 Battery SOC correction method and device, computer equipment and storage medium
CN113928122A (en) * 2021-09-30 2022-01-14 蜂巢能源科技有限公司 Method and device for determining abnormal voltage of battery cell
CN114415054A (en) * 2022-01-27 2022-04-29 中国汽车工程研究院股份有限公司 New energy automobile battery sampling abnormal fault identification method
CN114895187A (en) * 2022-04-24 2022-08-12 深圳市拓邦锂电池有限公司 Battery management system, voltage and temperature detection method thereof and electronic device
CN114966434A (en) * 2022-07-29 2022-08-30 力高(山东)新能源技术有限公司 Method for judging cell voltage deviation
CN115079020A (en) * 2022-05-27 2022-09-20 中国第一汽车股份有限公司 Battery failure detection method, system, device storage medium, and vehicle
CN115425308A (en) * 2022-09-28 2022-12-02 中国联合网络通信集团有限公司 Method and device for determining lagging battery and storage medium

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018120236A1 (en) * 2016-12-30 2018-07-05 华为技术有限公司 Battery charging method, charging device and terminal equipment
WO2021134829A1 (en) * 2019-12-31 2021-07-08 深圳市普兰德储能技术有限公司 Battery testing system
CN113917348A (en) * 2021-09-29 2022-01-11 一汽解放汽车有限公司 Battery SOC correction method and device, computer equipment and storage medium
CN113928122A (en) * 2021-09-30 2022-01-14 蜂巢能源科技有限公司 Method and device for determining abnormal voltage of battery cell
CN114415054A (en) * 2022-01-27 2022-04-29 中国汽车工程研究院股份有限公司 New energy automobile battery sampling abnormal fault identification method
CN114895187A (en) * 2022-04-24 2022-08-12 深圳市拓邦锂电池有限公司 Battery management system, voltage and temperature detection method thereof and electronic device
CN115079020A (en) * 2022-05-27 2022-09-20 中国第一汽车股份有限公司 Battery failure detection method, system, device storage medium, and vehicle
CN114966434A (en) * 2022-07-29 2022-08-30 力高(山东)新能源技术有限公司 Method for judging cell voltage deviation
CN115425308A (en) * 2022-09-28 2022-12-02 中国联合网络通信集团有限公司 Method and device for determining lagging battery and storage medium

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
马晓涛: "锂电池管理***单体电压采样断线检测功能的分析", 电工电气, no. 8, 31 August 2021 (2021-08-31), pages 53 - 56 *

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