CN113442787A - Abnormal single cell identification method and device, electronic equipment and storage medium - Google Patents

Abnormal single cell identification method and device, electronic equipment and storage medium Download PDF

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CN113442787A
CN113442787A CN202110595371.9A CN202110595371A CN113442787A CN 113442787 A CN113442787 A CN 113442787A CN 202110595371 A CN202110595371 A CN 202110595371A CN 113442787 A CN113442787 A CN 113442787A
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voltage
period
single battery
preset
moment
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CN113442787B (en
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干士
皇甫鹏晖
聂佳
李飞
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Shanghai Kelie New Energy Technology Co ltd
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Shanghai Kelie New Energy Technology Co ltd
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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
    • 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
    • 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
    • B60L58/18—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries of two or more battery modules
    • B60L58/22—Balancing the charge of battery modules
    • 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
    • G01R31/3842—Arrangements for monitoring battery or accumulator variables, e.g. SoC combining voltage and current measurements
    • 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
    • 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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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Sustainable Development (AREA)
  • Sustainable Energy (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Secondary Cells (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)

Abstract

The embodiment of the invention provides an abnormal single battery cell identification method, an abnormal single battery cell identification device, electronic equipment and a storage medium, wherein the method comprises the following steps: acquiring data records of a power battery of the electric automobile in a full life cycle; the power battery comprises a plurality of single battery cores, the data record comprises the current of the power battery and the voltage of the single battery cores at each moment of the full life cycle, the charging high period, the discharging low period and the standing period are identified from the full life cycle according to the current of the power battery and the voltage of the single battery cores, the voltage average value and the voltage standard deviation of the single battery cores are calculated at each moment of the charging high period, the discharging low period and the standing period according to the voltage of the single battery cores at each moment of the charging high period, the discharging low period and the standing period, the abnormal single battery cores are identified, and the overall performance of the battery pack is effectively improved by replacing or balancing the abnormal single battery cores.

Description

Abnormal single cell identification method and device, electronic equipment and storage medium
Technical Field
The present invention relates to the field of power technologies, and in particular, to an abnormal cell identification method, an abnormal cell identification apparatus, an electronic device, and a storage medium.
Background
As a source of running energy of an electric vehicle, a power battery is the most central component in the field of new energy vehicles. At present, the mainstream power battery is a lithium ion battery, wherein common types include lithium iron phosphate, ternary lithium and lithium titanate battery.
The charging and discharging performance of the power battery directly influences the driving experience of the electric vehicle such as power performance, endurance mileage and safety, so that the monitoring of the battery performance plays an important role in controlling and maintaining the whole vehicle.
The power battery pack usually groups dozens or even hundreds of single battery cell modules in series to meet the power output requirement. Each monomer electricity core module can demonstrate incompletely the same characteristic under the tired use of day and month because of the tiny difference of production equipment and the nonconformity in the actual charge-discharge process. According to the principle of the wooden barrel, the overall charge and discharge performance of the whole battery pack is limited by individual single battery cells with poor health states, the abnormal single battery cells are identified, corresponding measures such as replacement or balance are taken, the short plates can be complemented, and the overall performance of the battery pack is effectively improved.
However, under the condition that the overall performance of the power battery is attenuated, an abnormal single battery cell in the power battery cannot be identified, so that the abnormal single battery cell cannot be replaced or balanced, and the overall performance of the battery pack is effectively improved.
Disclosure of Invention
In view of the above problems, embodiments of the present invention are proposed to provide an abnormal cell identification method and a corresponding abnormal cell identification apparatus, electronic device, storage medium that overcome or at least partially solve the above problems.
In order to solve the above problem, an embodiment of the present invention discloses an abnormal cell identification method, where the method includes:
acquiring data records of a power battery of the electric automobile in a full life cycle; the power battery comprises a plurality of single battery cells, and the data record comprises the current of the power battery and the voltage of the single battery cells at each moment of the full life cycle;
determining a charging high period, a discharging low period and a standing period from the full life cycle according to the current of the power battery and the voltage of the single battery cell;
calculating the voltage average value and the voltage standard deviation of the single battery cell according to the voltage of the single battery cell at each moment of the charging period, the discharging period and the standing period;
and identifying the abnormal single battery cell according to the voltage of the single battery cell at each moment of the charge period, the discharge period and the standing period, the average voltage value and the standard deviation of the voltage.
Optionally, the full life cycle includes a charging phase and a discharging phase, and the determining, according to the current of the power battery and the voltage of the cell, a high charge period, a low discharge period, and a rest period from the full life cycle includes:
traversing the full life cycle and determining a first traversal time;
in the charging stage, when the difference value between the current of the power battery at the first traversal time and the current of the power battery at the previous time is smaller than a first preset threshold value, and the difference value between the current of the power battery at the first traversal time and the current of the power battery at the next time is larger than a preset ratio of the current of the power battery at the first traversal time, determining that the first traversal time belongs to a charging period;
in the traversal of the discharge stage, when the current of the power battery at the first traversal moment is greater than a second preset threshold and the lowest voltage of the single battery cell is less than a third preset threshold, it is determined that the first traversal moment belongs to a low discharge period.
Optionally, after traversing the full lifecycle and determining the first traversal time, the method further includes:
the first time-lapse duration corresponds to a time window of a preset time range, and the maximum absolute value current of the power battery in the time window is extracted;
and when the maximum absolute value current of the power battery at the first traversal moment is smaller than a fourth preset threshold and the minimum voltage of the single battery cell is smaller than a fifth preset threshold, determining that the first traversal moment belongs to a standing period.
Optionally, the identifying, according to the voltages of the individual electric cores at each time of the charging period, the discharging period, and the standing period, the voltage average value, and the voltage standard deviation, the abnormal individual electric core includes:
for the charging period, according to a first preset deviation parameter, a second preset deviation parameter, the voltage average value at each moment and the voltage standard deviation, determining the number of times of over-high of the voltages of the monomer electric cores, sequencing the number of times of over-high from large to small, and taking the monomer electric cores with the first preset number of times of over-high as first monomer electric cores;
for the low discharge period, confirming the over-low times of the voltages of the monomer electric cores according to the first preset deviation parameter, the second preset deviation parameter, the voltage average value at each moment and the voltage standard deviation, sequencing the over-low times from large to small, and taking the first preset number of the monomer electric cores with the over-low times as second monomer electric cores;
and identifying the single battery cells which are the first single battery cell and the second single battery cell simultaneously as the single battery cells with abnormal capacity or internal resistance.
Optionally, the identifying, according to the voltages of the individual electric cores at each time of the charging period, the discharging period, and the standing period, the voltage average value, and the voltage standard deviation, the abnormal individual electric core includes:
for the standing period, according to the first preset deviation parameter, the second preset deviation parameter, the voltage average value at each moment and the voltage standard deviation, determining the number of times of over-low voltage of the monomer electric cores, sequencing the number of times of over-low voltage from large to small, and taking the first preset number of monomer electric cores with the number of times of over-low voltage as a third monomer electric core;
and identifying the monomer battery cell which is abnormal in capacity or internal resistance and is the monomer battery cell of the third monomer battery cell as the monomer battery cell with the abnormal low charge capacity.
Optionally, for the charging period, determining the number of times of the voltage of the single battery cell is too high according to a first preset deviation parameter, a second preset deviation parameter, the voltage average value at each time, and the voltage standard deviation, including:
traversing the charging period and determining a second traversal time;
confirming the single battery cell of which the second traversal time meets a first preset rule according to the first preset deviation parameter, the second preset deviation parameter, the voltage average value at the second traversal time and the voltage standard deviation;
sequencing the single battery cells meeting the first preset rule at the second traversal moment from high to low according to the voltage of the single battery cells, and recording that the voltage of the second preset number of the single battery cells is too high once;
and counting the number of times of overhigh voltage of the single battery cell at all moments.
Optionally, for the low discharge period or the standing period, determining the number of times of the too low voltage of the monomer battery core according to a first preset deviation parameter, a second preset deviation parameter, the voltage average value at each time, and the voltage standard deviation, including:
traversing the low-level period or the standing period, and determining a second traversal time;
confirming the single battery cell of which the second traversal time meets a second preset rule according to the first preset deviation parameter, the second preset deviation parameter, the voltage average value at the second traversal time and the voltage standard deviation;
sequencing the monomer electric cores meeting the second preset rule at the second traversal moment from low to high according to the voltages of the monomer electric cores, and recording that the voltages of a second preset number of the monomer electric cores are too low once before;
and counting the number of times of excessively low voltage of the single battery cell at all moments.
The embodiment of the invention discloses an abnormal single cell identification device, which specifically comprises the following modules:
the data acquisition module is used for acquiring data records of a power battery of the electric automobile in the whole life cycle; the power battery comprises a plurality of single battery cells, and the data record comprises the current of the power battery and the voltage of the single battery cells at each moment of the full life cycle;
the period confirmation module is used for confirming a charging high period, a discharging low period and a standing period from the full life cycle according to the current of the power battery and the voltage of the single battery cell;
the data calculation module is used for calculating the voltage average value and the voltage standard deviation of the single battery cell according to the voltage of the single battery cell at each moment of the charging period, the discharging period and the standing period;
and the abnormity identification module is used for identifying the abnormal single battery cell according to the voltage of the single battery cell at each moment of the charging period, the discharging period and the standing period, the voltage average value and the voltage standard deviation.
Optionally, the full life cycle includes a charging phase and a discharging phase, and the period confirmation module includes:
the cycle traversal submodule is used for traversing the full life cycle and determining a first traversal time;
the period confirmation first submodule is used for determining that the first traversal time belongs to a charging period when the difference value between the current of the power battery at the first traversal time and the current of the power battery at the previous time is smaller than a first preset threshold value and the difference value between the current of the power battery at the first traversal time and the current of the power battery at the next time is larger than a preset ratio of the current of the power battery at the first traversal time in the traversal phase;
and the period confirmation second submodule is used for determining that the first duration belongs to a low discharge period when the current of the power battery at the first traversal moment is greater than a second preset threshold and the lowest voltage of the single battery cell is less than a third preset threshold in the traversal stage.
Optionally, after the periodically traversing the sub-modules, the method further includes:
the current extraction submodule is used for extracting the maximum absolute value current of the power battery in a time window corresponding to a preset time range by the first time-lapse;
and the period confirmation third submodule is used for determining that the first traversal time belongs to the standing period when the maximum absolute value current of the power battery at the first traversal time is smaller than a fourth preset threshold and the minimum voltage of the single battery cell is smaller than a fifth preset threshold.
Optionally, the anomaly identification module includes:
the cell confirming first submodule is used for confirming the number of times of overhigh voltage of the single cells according to a first preset deviation parameter, a second preset deviation parameter, the voltage average value at each moment and the voltage standard deviation in the charging period, sequencing the number of times of overhigh voltage from large to small, and taking the first preset number of the single cells with the number of times of overhigh voltage as first single cells;
the cell confirming second submodule is used for confirming the over-low times of the voltages of the monomer cells according to the first preset deviation parameter, the second preset deviation parameter, the voltage average value at each moment and the voltage standard deviation in the low discharge period, sequencing the over-low times from large to small, and taking the monomer cells with the over-low times in the first preset number as second monomer cells;
and the abnormity identification first submodule is used for identifying the single battery cells which are the first single battery cell and the second single battery cell simultaneously as the single battery cells with abnormal capacity or internal resistance.
Optionally, the anomaly identification module includes:
the cell determination third sub-module is used for determining the number of times of over-low voltage of the monomer cells according to the first preset deviation parameter, the second preset deviation parameter, the voltage average value at each moment and the voltage standard deviation in the standing period, sequencing the over-low times from large to small, and taking the monomer cells with the over-low times in the first preset number as third monomer cells;
and the abnormity identification second submodule is used for identifying the monomer electric core of the third monomer electric core, which is not the monomer electric core with abnormal capacity or internal resistance, as the monomer electric core with the abnormal low charge quantity.
Optionally, the cell validation first sub-module includes:
the period traversal first unit is used for traversing the charging period and determining a second traversal time;
a first cell confirmation unit, configured to confirm the single cell, of which the second traversal time meets a first preset rule, according to the first preset deviation parameter, the second preset deviation parameter, the voltage average value at the second traversal time, and the voltage standard deviation;
the frequency recording first unit is used for sequencing the single battery cells meeting the first preset rule at the second traversal moment from high to low according to the voltage of the single battery cells and recording that the voltage of the second preset number of the single battery cells is too high once before;
and the frequency counting first unit is used for counting the over-high frequency of the voltage of the single battery cell obtained at all times.
Optionally, the second or third sub-module is confirmed by the battery cell, including:
the period traversal second unit is used for traversing the low-level period or the standing period and determining a second traversal time;
the cell confirmation second unit is configured to confirm the single cell, of which the second traversal time meets a second preset rule, according to the first preset deviation parameter, the second preset deviation parameter, the voltage average value at the second traversal time, and the voltage standard deviation;
the frequency recording second unit is used for sequencing the monomer electric cores meeting the second preset rule at the second traversal moment from low to high according to the voltages of the monomer electric cores, and recording that the voltages of a second preset number of the monomer electric cores are too low once before;
and the frequency counting second unit is used for counting the too-low frequency of the voltage of the single battery cell obtained at all times.
The embodiment of the invention discloses electronic equipment, which comprises a processor, a memory and a computer program which is stored on the memory and can run on the processor, wherein when the computer program is executed by the processor, the steps of the abnormal single battery cell identification method are realized.
The embodiment of the invention discloses a computer-readable storage medium, wherein a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps of the abnormal single cell identification method are realized.
The embodiment of the invention has the following advantages:
in the embodiment of the invention, the high charge period, the low discharge period and the standing period are confirmed from the full life cycle, the voltage average value and the voltage standard deviation of the single battery cells are calculated through the voltages of all the single battery cells at each moment of the high charge period, the low discharge period and the standing period, then the abnormal single battery cells are identified according to the voltages, the voltage average values and the voltage standard deviations of the single battery cells at each moment of the high charge period, the low discharge period and the standing period, and the abnormal single battery cells are replaced or balanced, so that the overall performance of the battery pack is effectively improved.
Drawings
Fig. 1 is a flowchart illustrating steps of an embodiment of an abnormal cell identification method according to the present invention;
fig. 2 is a flowchart illustrating steps of another embodiment of an abnormal cell identification method according to the present invention;
fig. 3 is a block diagram of an embodiment of an abnormal cell identification apparatus according to the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
For the monomer battery cells with abnormal health degree, the abnormal monomer battery cells can present the external characteristics of higher voltage during charging and lower voltage during discharging; and the monomer battery cell with the excessively low charge capacity can present the external characteristic of low voltage after the battery pack is stood, but the symptom of the battery cell with abnormal health degree is not presented. According to the embodiment of the invention, the typical situation which accords with the description is screened out through the extraction, transformation and statistical analysis of the power battery pack data, and the relative and absolute properties of the voltage of the monomer battery cell are comprehensively considered on the basis of the computer sequencing algorithm and the frequency statistics, so that the rapid and effective identification of the abnormal monomer battery cell is realized.
Referring to fig. 1, a flowchart illustrating steps of an embodiment of an abnormal individual electrical core identification method according to the present invention is shown, where the embodiment of the present invention may specifically include the following steps:
step 101, acquiring data records of a power battery of an electric automobile in a full life cycle; the power battery comprises a plurality of single battery cores, and the data record comprises the current of the power battery and the voltage of the single battery cores at each moment of the full life cycle.
The power battery is a lithium ion battery used for driving the electric automobile, such as lithium iron phosphate, ternary lithium, lithium titanate battery and the like; the power battery generally groups dozens or even hundreds of single battery cells in a series connection mode so as to meet the power output requirement of the electric automobile; and acquiring a data record of the full life cycle of the power battery from a Battery Management System (BMS), wherein the data record comprises the voltage, the current and the voltage of each single battery cell of the power battery at each moment of the full life cycle of the power battery.
Specifically, data records of the power battery of the electric automobile in the full life cycle are obtained, wherein the data records comprise the voltage and the current of the power battery and the voltage of each single battery cell at each moment in the full life cycle of the power battery.
And step 102, determining a charge high period, a discharge low period and a standing period from the full life cycle according to the current of the power battery and the voltage of the single battery cell.
The single battery cell with abnormal capacity or internal resistance has the external voltage characteristic of high charge and low discharge, namely a high charge period occurs in the charging stage and a low discharge period occurs in the discharging stage; and the monomer battery cell with too low charge quantity can present the external characteristic of lower voltage in the standing period.
Specifically, a charging high period, a discharging low period and a standing period are determined from the full life cycle according to the current of the power battery and the voltage of the single battery cell at each moment.
Step 103, calculating the voltage average value and the voltage standard deviation of the single battery cell according to the voltage of the single battery cell at each moment of the charging period, the discharging period and the standing period.
Specifically, after a high charge period, a low discharge period and a standing period are determined from a full life cycle according to the current of the power battery and the voltage of the single battery cells at each moment, and at each moment of the high charge period, the low discharge period and the standing period, the voltage average value and the voltage standard deviation of the single battery cells at each moment are calculated through the voltages of all the single battery cells.
And step 104, identifying the abnormal single battery cell according to the voltage of the single battery cell, the average voltage value and the standard voltage difference at each moment of the charging period, the discharging period and the standing period.
The abnormal single battery cells comprise abnormal single battery cells with abnormal capacity and/or internal resistance (abnormal health degree) and abnormal low charge capacity.
Specifically, after the voltage average value and the voltage standard deviation of the individual electric cores at each moment are calculated, the abnormal individual electric cores are identified according to the voltages, the voltage average values and the voltage standard deviations of the individual electric cores at each moment in the charging period, the discharging period and the standing period.
In the embodiment of the invention, the high charging period, the low discharging period and the standing period are confirmed from the whole life cycle, the voltage average value and the voltage standard deviation of the single battery cells are calculated through the voltages of all the single battery cells at each moment of the high charging period, the low discharging period and the standing period, the abnormal single battery cells are identified according to the voltages, the voltage average values and the voltage standard deviations of the single battery cells at each moment of the high charging period, the low discharging period and the standing period, and the abnormal single battery cells are replaced or balanced, so that the overall performance of the battery pack is effectively improved.
Referring to fig. 2, a flowchart illustrating steps of another embodiment of an abnormal individual electric core identification method according to the present invention is shown, where the embodiment of the present invention may specifically include the following steps:
step 201, acquiring data records of a power battery of an electric automobile in a full life cycle; the power battery comprises a plurality of single battery cores, and the data record comprises the current of the power battery and the voltage of the single battery cores at each moment of the full life cycle.
Step 202, determining a charge high period, a discharge low period and a standing period from the full life cycle according to the current of the power battery and the voltage of the single battery cell.
In an embodiment of the present invention, the full life cycle includes a charging phase and a discharging phase, and the determining, according to the current of the power battery and the voltage of the cell, a high charge period, a low discharge period, and a rest period from the full life cycle includes: traversing the full life cycle and determining a first traversal time; in the charging stage, when the difference value between the current of the power battery at the first traversal time and the current of the power battery at the previous time is smaller than a first preset threshold value, and the difference value between the current of the power battery at the first traversal time and the current of the power battery at the next time is larger than a preset ratio of the current of the power battery at the first traversal time, determining that the first traversal time belongs to a charging period; in the traversal of the discharge stage, when the current of the power battery at the first traversal moment is greater than a second preset threshold and the lowest voltage of the single battery cell is less than a third preset threshold, it is determined that the first traversal moment belongs to a low discharge period.
The charging stage is a parking charging period of a full life cycle, and the discharging stage is a driving discharging period of the full life cycle; the first preset threshold, the second preset threshold, the third preset threshold and the preset ratio are values determined in advance through calculation and analysis.
Specifically, each time of the full life cycle is traversed, and the traversed time is used as a first traversal time; in the ergodic charging stage, when the difference value between the current of the power battery at the first ergodic moment and the current of the power battery at the previous moment is smaller than a first preset threshold value, and the difference value between the current of the power battery at the first ergodic moment and the current of the power battery at the next moment is larger than a preset ratio of the current of the power battery at the first ergodic moment, determining that the first ergodic moment belongs to a charging period, and determining the time occupied by the charging period in the full life cycle.
In the traversal to the discharging stage, when the current of the power battery at the first traversal moment is greater than a second preset threshold and the lowest voltage of the single battery cell is less than a third preset threshold, the low-level discharge phenomenon is determined, that is, the first traversal moment is determined to belong to the low-level discharge period, so that the moment occupied by the low-level discharge period in the full life cycle is determined.
In an embodiment of the present invention, after said traversing said full lifecycle, determining a first traversal time, further comprises: the first time-lapse duration corresponds to a time window of a preset time range, and the maximum absolute value current of the power battery in the time window is extracted; and when the maximum absolute value current of the power battery at the first traversal moment is smaller than a fourth preset threshold and the minimum voltage of the single battery cell is smaller than a fifth preset threshold, determining that the first traversal moment belongs to a standing period.
Wherein, a time in the full life cycle corresponds to a time window in a preset time range, for example, the preset time range from each time to the time before data at each time is the time window; the fourth preset threshold value and the fifth preset threshold value are values determined in advance through calculation analysis.
Specifically, at each time of traversing the full life cycle, the traversed time is used as a first traversal time, the first traversal time corresponds to a time window in a preset time range, current data in the time window is extracted, the maximum absolute value current in the circuit data is determined to be the maximum absolute value current of the first traversal time, the maximum absolute value current of the power battery at the first traversal time is smaller than a fourth preset threshold, and when the lowest voltage of the single battery cell is smaller than a fifth preset threshold, the first traversal time is determined to belong to the standing period, so that the time occupied by the standing period in the full life cycle is determined.
Step 203, calculating the voltage average value and the voltage standard deviation of the single battery cell according to the voltage of the single battery cell at each moment of the charging period, the discharging period and the standing period.
Step 204, for the charging period, determining the number of times of the voltage of the monomer electric cores is too high according to a first preset deviation parameter, a second preset deviation parameter, the voltage average value at each moment and the voltage standard deviation, sorting the number of times of the voltage of the monomer electric cores from large to small, and taking the monomer electric cores with the first preset number of times of the voltage of the monomer electric cores as first monomer electric cores.
Specifically, a monomer electric core with overhigh voltage exists in a charging period, the number of overhigh voltage times of the monomer electric core in the whole charging period is determined through a first preset deviation parameter, a second preset deviation parameter, a voltage average value at each moment and a voltage standard deviation, the monomer electric cores are sorted from large to small according to the number of overhigh voltage times, the monomer electric cores with the overhigh voltage times in the previous first preset number and the overhigh voltage times larger than zero are taken as the first monomer electric core, and the monomer electric cores with overhigh voltage in the charging period are used as the first monomer electric cores.
In an embodiment of the present invention, for the charge-up period, determining the number of times of the voltage of the individual electric core being too high according to a first preset deviation parameter, a second preset deviation parameter, the voltage average value at each time, and the voltage standard deviation, includes: traversing the charging period and determining a second traversal time; confirming the single battery cell of which the second traversal time meets a first preset rule according to the first preset deviation parameter, the second preset deviation parameter, the voltage average value at the second traversal time and the voltage standard deviation; sequencing the single battery cells meeting the first preset rule at the second traversal moment from high to low according to the voltage of the single battery cells, and recording that the voltage of the second preset number of the single battery cells is too high once; and counting the number of times of overhigh voltage of the single battery cell at all moments.
The first preset deviation parameter and the second preset deviation parameter are values determined in advance through calculation and analysis.
Specifically, when the number of times of the excessive high times of the single battery cells in the charge period is determined, the single battery cells at the second traversal time satisfying the first preset rule are determined according to the first preset deviation parameter, the second preset deviation parameter, the voltage average value at the second traversal time, and the voltage standard deviation at each time of the charge period.
For example, a first predetermined deviation parameter is λ and a second predetermined deviation parameter is ΔvAnd the voltage of a certain single battery cell in the second traversal moment is cijAverage value of voltage is mujStandard deviation of voltage of σjAt the second traversal time, if cij＞＝μj+λ·σjAnd c is and cij＞＝μj+ΔvThen, at this time, the single battery cell meets the first preset rule.
Sequencing the single battery cells meeting the first preset rule in the second traversal moment from high to low according to the voltage of the single battery cells, and recording that the voltage of the second preset number of single battery cells is too high once; and counting all the times of the voltage of the single battery cell in the charging period at all the moments.
Step 205, for the low discharge period, determining the number of times of the excessively low voltage of the monomer electric cores according to the first preset deviation parameter, the second preset deviation parameter, the voltage average value at each moment and the voltage standard deviation, and sorting the excessively low number of times from large to small, wherein the first preset number of monomer electric cores with the excessively low number of times in front is taken as a second monomer electric core.
Specifically, the monomer cells with too low voltage exist in the low discharge period, the too low times of the voltage of the monomer cells in the whole low discharge period are determined through a first preset deviation parameter, a second preset deviation parameter, a voltage average value and a voltage standard deviation at each moment, the monomer cells are sorted from large to small according to the too high times of the voltage, and the monomer cells with the too low times, which are larger than zero in the previous first preset number, are taken as the second monomer cells, namely the monomer cells with the too low voltage in the low discharge period.
In an embodiment of the present invention, for the low discharge period, determining the number of times of the too low voltage of the single battery cell according to a first preset deviation parameter, a second preset deviation parameter, the voltage average value at each time, and the voltage standard deviation includes: traversing the low playing period and determining a second traversal time; confirming the single battery cell of which the second traversal time meets a second preset rule according to the first preset deviation parameter, the second preset deviation parameter, the voltage average value at the second traversal time and the voltage standard deviation; sequencing the monomer electric cores meeting the second preset rule at the second traversal moment from low to high according to the voltages of the monomer electric cores, and recording that the voltages of a second preset number of the monomer electric cores are too low once before; and counting the number of times of excessively low voltage of the single battery cell at all moments.
Specifically, when the number of times of excessively low battery cells in the low discharge period is determined, the battery cells meeting a second preset rule at a second traversal time are determined by traversing each time of the low discharge period through a first preset deviation parameter, a second preset deviation parameter, a voltage average value at the second traversal time, and a voltage standard deviation.
For example, a first predetermined deviation parameter is λ and a second predetermined deviation parameter is ΔvAnd the voltage of the single battery cell at the second traversal moment is cijAverage value of voltage is mujStandard deviation of voltage of σjAt the second traversal time, if cij＞＝μj+λ·σjAnd c is and cij＞＝μj+ΔvAnd then, at this moment, the single battery cell meets a second preset rule.
Sequencing the single battery cells meeting a second preset rule in a second traversal moment from low to high according to the voltage of the single battery cells, and recording that the voltage of the second preset number of single battery cells is too low once before; and counting all too low times of the voltage of the single battery cell in the low discharge period at all moments.
Step 206, identifying the monomer electric cores which are the first monomer electric core and the second monomer electric core at the same time as the monomer electric core with abnormal capacity or internal resistance.
Specifically, after the first cell and the second cell are identified, the cell which is both the first cell and the second cell is identified as a cell with abnormal capacity or internal resistance.
In the embodiment of the invention, the voltages of the single battery cells at each moment are sequenced and statistically analyzed by traversing the charging period and the discharging period in the whole life cycle of the power battery, the single battery cell with overhigh voltage in the charging period and the single battery cell with overlow voltage in the discharging period are confirmed, then the single battery cell with abnormal capacity or internal resistance is quickly and effectively identified, and corresponding measures such as replacing the single battery cell and the like are further taken to complement the short plate of the power battery, so that the overall performance of the battery pack is effectively improved.
In an embodiment of the present invention, the identifying, according to the voltages of the individual electric cells at each time of the charge-up period, the discharge-down period, and the standing period, the voltage average value, and the voltage standard deviation, the abnormal individual electric cells includes: for the standing period, according to the first preset deviation parameter, the second preset deviation parameter, the voltage average value at each moment and the voltage standard deviation, determining the number of times of over-low voltage of the monomer electric cores, sequencing the number of times of over-low voltage from large to small, and taking the first preset number of monomer electric cores with the number of times of over-low voltage as a third monomer electric core; and identifying the monomer battery cell which is abnormal in capacity or internal resistance and is the monomer battery cell of the third monomer battery cell as the monomer battery cell with the abnormal low charge capacity.
Specifically, the excessively low times of the voltages of the monomer electric cores in the whole standing period are determined through a first preset deviation parameter, a second preset deviation parameter, and a voltage average value and a voltage standard deviation at each moment, the monomer electric cores are sorted from large to small according to the excessively high times of the voltages, and the monomer electric cores with the excessively low times in the first preset number are taken as third monomer electric cores, namely, the monomer electric cores with the excessively low voltages in the standing period. And identifying the single cell which is the third single cell and is not the single cell with abnormal capacity or internal resistance as the single cell with the abnormal low charge capacity.
In the embodiment of the invention, the voltage of the single battery cell at each moment is sequenced and statistically analyzed by traversing the standing period in the whole life cycle of the power battery, the single battery cell with the over-low voltage in the standing period is identified, then the single battery cell with the over-low abnormal charge capacity or internal resistance is rapidly and effectively identified based on the single battery cell with the over-low abnormal charge capacity or internal resistance, and further corresponding measures such as balancing are taken to complement the short plate of the power battery, so that the overall performance of the battery pack is effectively improved.
In an embodiment of the present invention, for the static period, determining the number of times of the too low voltage of the single battery cell according to a first preset deviation parameter, a second preset deviation parameter, the voltage average value at each time, and the voltage standard deviation, includes: traversing the standing period and determining a second traversing time; confirming the single battery cell of which the second traversal time meets a second preset rule according to the first preset deviation parameter, the second preset deviation parameter, the voltage average value at the second traversal time and the voltage standard deviation; sequencing the monomer electric cores meeting the second preset rule at the second traversal moment from low to high according to the voltages of the monomer electric cores, and recording that the voltages of a second preset number of the monomer electric cores are too low once before; and counting the number of times of excessively low voltage of the single battery cell at all moments.
Specifically, when the number of times of excessively low cell numbers in the standing period is determined, the cell numbers meeting a second preset rule at a second traversal time are determined by traversing each time of the standing period according to a first preset deviation parameter, a second preset deviation parameter, a voltage average value at the second traversal time and a voltage standard deviation.
For example, a first predetermined deviation parameter is λ and a second predetermined deviation parameter is ΔvAnd the voltage of the single battery cell at the second traversal moment is cijAverage value of voltage is mujStandard deviation of voltage of σjAt the second traversal time, if cij＞＝μj+λ·σjAnd c is and cij＞＝μj+ΔvAnd then, at this moment, the single battery cell meets a second preset rule.
Sequencing the single battery cells meeting a second preset rule in a second traversal moment from low to high according to the voltage of the single battery cells, and recording that the voltage of the second preset number of single battery cells is too low once before; and counting all too low times of the voltage of the monomer battery cell in the standing period at all moments.
In the embodiment of the invention, data records in the whole life cycle of the power battery are obtained, the voltages of the single battery cells in each moment are sequenced, statistically analyzed by traversing the charging period, the discharging period and the standing period in the whole life cycle of the power battery, the single battery cell with overhigh voltage in the charging period, the single battery cell with overlow voltage in the discharging period and the single battery cell with overlow voltage in the standing period are confirmed, then the single battery cell with abnormal capacity or internal resistance and the single battery cell with overlow abnormal charge capacity are rapidly and effectively identified, and corresponding measures such as replacing the single battery cells or balancing the single battery cells are further adopted to complement the short plate of the power battery, so that the overall performance of the battery pack is effectively improved.
In order that those skilled in the art will better understand the embodiments of the present invention, the following further illustrates the embodiments of the present invention by a specific example.
1. Extracting data records of the whole life cycle of the power battery in the battery BMS, wherein the data records comprise voltage, current and monomer voltage sequence data, and are arranged according to the sequence of the generation time and are marked as V, I and C1,C2,...,CnAnd 2+ N sequences, wherein N is the total number of the monomer battery cells connected in series, and the sequence number set of all the monomer battery cells is N. Each sequence has data records of the same length, representing the battery status at each historical time, and the collection of all times is defined as K (i.e., the collection of data at times). The complete data record at each moment is vk,ik,c1k,c2k,...,cnkK ∈ K, and the time interval for which each data record is generated is Δ t.
2. The full life cycle was identified as the high fill phase, the low drain phase and the resting phase.
And (3) confirmation of the filling period: selecting data records of all charging stages in the whole life cycle, and screening subscript set K at each time of current reduction during charging from the data records of all charging stages according to a certain standardHFor charging high period
Figure BDA0003090807120000151
Screening criteria are for example: the difference between the current of the power battery recorded by the data at each moment and the current of the power battery recorded by the data at the previous moment is required to be less than a first preset threshold value iHpMeanwhile, the current difference of the power battery at the later moment of the current ratio of the power battery recorded by the data at each moment is required to be larger than a certain preset ratio p of the current value of the power battery at the momentH；
And (3) low-discharge period confirmation: selecting data records of all discharge stages in the whole life cycle, wherein the current (discharge current) of the power battery at each moment is required to be greater than a second preset threshold value iDAnd simultaneously, the lowest voltage of the single battery cell at each moment is smaller than a third preset threshold cDScreening out subscript set K meeting the conditionsLIn the low discharge period
Figure BDA0003090807120000161
And (3) confirmation of a standing period: each moment corresponds to a time window with a preset time range tRPresetting a time range t before each moment dataRThe data records in the time window are counted to obtain a maximum value sequence I of the absolute value of the current in the time window at each momentmaxWhen the absolute value of the required current is smaller than a fourth preset threshold value iRMeanwhile, the voltage of the single battery cell is smaller than a fifth preset threshold value cRScreening out subscript set K meeting the conditionsRFor the standing period
Figure BDA0003090807120000162
3. For the charging period KHLow-term of discharge KLAnd a standing period KRAnd calculating the average voltage value mu of all the single battery cells in the data record at each momentjStandard deviation of sum voltage σj。
4. Setting statistical parameters P and Q, a first deviation parameter lambda and a second deviation parameter deltav. For each individual cell, a count s is prepared starting from 0iI belongs to N, the count of all monomer cells is an array S with the length of N, and the charging period K is from the beginningHLow-term of discharge KLAnd a standing period KRAnd determining the monomer electric core with overhigh voltage and the monomer electric core with overlow voltage.
For the charging period KHSequencing the voltages of the single battery cells from high to low at each moment, and if one single battery cell meets cij＞＝μj+λ·σjAnd c isij＞＝μj+Δv(first preset rule) and the voltage sequence of the single battery cell is in the second preset number P before the row, the single battery cell is judged to be over-high once, and s is enabledi＝si+ 1; after the number of times of voltage overhigh of the single battery cells is counted, the single battery cells are sorted from large to small according to the number of times of voltage overhigh, namely S is sorted from large to small, and the single battery cell set N with the first preset number Q and the actual count larger than 0 is selectedAIs a cell with an excessive voltage (first cell);
aiming at the low discharge period KLSequencing the voltages of the single battery cells from low to high at each moment, and if one single battery cell meets cij<＝μj-λ·σjAnd c isij<＝μj-Δv(second preset rule) and the voltage sequence of the monomer battery cell is in the second preset number P before the row, the monomer voltage is judged to be too low once, and s is enabledi＝si+ 1; after the low voltage times of the single battery cells are counted, the single battery cells are sorted from large to small according to the low voltage times, namely S is sorted from large to small, and the single battery cell set N with the first preset number of Q and the actual count of more than 0 is selectedBIs a cell with too low a voltage (second cell);
for a standing period KRSequencing the voltages of the single battery cells from low to high at each moment, and if one single battery cell meets cij<＝μj-λ·σjAnd c isij<＝μj-Δv(second preset rule) and the voltage sequence of the monomer battery cell is in the second preset number P before the row, the monomer voltage is judged to be too low once, and s is enabledi＝si+ 1; after the low voltage times of the single battery cells are counted, the single battery cells are sorted from large to small according to the low voltage times, namely S is sorted from large to small, and the single battery cell set N with the first preset number of Q and the actual count of more than 0 is selectedCIs a cell with too low a voltage (third cell).
5. Monomer battery cell N with overhigh voltage in charging periodAAnd the single cell N with too low voltage in low discharge periodBTaking intersections, i.e. NX＝NA∩NBThe set NXNamely, the individual cells with abnormal capacity or internal resistance are identified.
6. The monomer battery cell N with too low voltage in the standing periodCAnd the result of the previous step NXTaking difference sets, i.e. NY＝NC-NXThe set NYNamely, the battery cell set which needs to be balanced when the electric quantity is too low is identified.
7. Outputting the final result NXAnd NY。
In the embodiment of the invention, through traversing the charge-up period, the discharge-down period and the standing period in the whole life cycle of the power battery, the voltages of the monomer cells at each moment are sequenced and statistically analyzed, the monomer cells with overhigh voltage in the charge-up period, the monomer cells with overlow voltage in the discharge-down period and the monomer cells with overlow voltage in the standing period are confirmed, then the monomer cells with abnormal capacity or internal resistance and the monomer cells with overlow charged quantity are rapidly and effectively identified, and corresponding measures such as replacing the monomer cells or balancing the monomer cells are further taken to complement the short plates of the power battery, so that the overall performance of the battery pack is effectively improved.
It should be noted that, for simplicity of description, the method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the illustrated order of acts, as some steps may occur in other orders or concurrently in accordance with the embodiments of the present invention. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred and that no particular act is required to implement the invention.
Referring to fig. 3, a block diagram of a structure of an embodiment of an abnormal single cell identification apparatus according to the present invention is shown, where the embodiment of the present invention may specifically include the following modules:
the data acquisition module 301 is used for acquiring data records of a power battery of the electric automobile in the whole life cycle; the power battery comprises a plurality of single battery cells, and the data record comprises the current of the power battery and the voltage of the single battery cells at each moment of the full life cycle;
a period confirming module 302, configured to confirm a high charge period, a low discharge period, and a rest period from the full life cycle according to the current of the power battery and the voltage of the cell;
a data calculation module 303, configured to calculate a voltage average value and a voltage standard deviation of the individual battery cells according to the voltages of the individual battery cells at each time of the charging period, the discharging period, and the standing period;
an anomaly identification module 304, configured to identify an abnormal single battery cell according to the voltages of the single battery cells at each time of the charging period, the discharging period, and the standing period, the voltage average value, and the voltage standard deviation.
In an embodiment of the present invention, the full life cycle includes a charging phase and a discharging phase, and the period confirmation module 302 includes:
the cycle traversal submodule is used for traversing the full life cycle and determining a first traversal time;
the period confirmation first submodule is used for determining that the first traversal time belongs to a charging period when the difference value between the current of the power battery at the first traversal time and the current of the power battery at the previous time is smaller than a first preset threshold value and the difference value between the current of the power battery at the first traversal time and the current of the power battery at the next time is larger than a preset ratio of the current of the power battery at the first traversal time in the traversal phase;
and the period confirmation second submodule is used for determining that the first duration belongs to a low discharge period when the current of the power battery at the first traversal moment is greater than a second preset threshold and the lowest voltage of the single battery cell is less than a third preset threshold in the traversal stage.
In an embodiment of the present invention, after the periodically traversing the sub-modules, the method further includes:
the current extraction submodule is used for extracting the maximum absolute value current of the power battery in a time window corresponding to a preset time range by the first time-lapse;
and the period confirmation third submodule is used for determining that the first traversal time belongs to the standing period when the maximum absolute value current of the power battery at the first traversal time is smaller than a fourth preset threshold and the minimum voltage of the single battery cell is smaller than a fifth preset threshold.
In an embodiment of the present invention, the anomaly identification module 304 includes:
the cell confirming first submodule is used for confirming the number of times of overhigh voltage of the single cells according to a first preset deviation parameter, a second preset deviation parameter, the voltage average value at each moment and the voltage standard deviation in the charging period, sequencing the number of times of overhigh voltage from large to small, and taking the first preset number of the single cells with the number of times of overhigh voltage as first single cells;
the cell confirming second submodule is used for confirming the over-low times of the voltages of the monomer cells according to the first preset deviation parameter, the second preset deviation parameter, the voltage average value at each moment and the voltage standard deviation in the low discharge period, sequencing the over-low times from large to small, and taking the monomer cells with the over-low times in the first preset number as second monomer cells;
and the abnormity identification first submodule is used for identifying the single battery cells which are the first single battery cell and the second single battery cell simultaneously as the single battery cells with abnormal capacity or internal resistance.
In an embodiment of the present invention, the anomaly identification module 304 includes:
the cell determination third sub-module is used for determining the number of times of over-low voltage of the monomer cells according to the first preset deviation parameter, the second preset deviation parameter, the voltage average value at each moment and the voltage standard deviation in the standing period, sequencing the over-low times from large to small, and taking the monomer cells with the over-low times in the first preset number as third monomer cells;
and the abnormity identification second submodule is used for identifying the monomer electric core of the third monomer electric core, which is not the monomer electric core with abnormal capacity or internal resistance, as the monomer electric core with the abnormal low charge quantity.
In an embodiment of the present invention, the cell validation first sub-module includes:
the period traversal first unit is used for traversing the charging period and determining a second traversal time;
a first cell confirmation unit, configured to confirm the single cell, of which the second traversal time meets a first preset rule, according to the first preset deviation parameter, the second preset deviation parameter, the voltage average value at the second traversal time, and the voltage standard deviation;
the frequency recording first unit is used for sequencing the single battery cells meeting the first preset rule at the second traversal moment from high to low according to the voltage of the single battery cells and recording that the voltage of the second preset number of the single battery cells is too high once before;
and the frequency counting first unit is used for counting the over-high frequency of the voltage of the single battery cell obtained at all times.
In an embodiment of the present invention, the second or third cell confirmation submodule includes:
the period traversal second unit is used for traversing the low-level period or the standing period and determining a second traversal time;
the cell confirmation second unit is configured to confirm the single cell, of which the second traversal time meets a second preset rule, according to the first preset deviation parameter, the second preset deviation parameter, the voltage average value at the second traversal time, and the voltage standard deviation;
the frequency recording second unit is used for sequencing the monomer electric cores meeting the second preset rule at the second traversal moment from low to high according to the voltages of the monomer electric cores, and recording that the voltages of a second preset number of the monomer electric cores are too low once before;
and the frequency counting second unit is used for counting the too-low frequency of the voltage of the single battery cell obtained at all times.
For the device embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, refer to the partial description of the method embodiment.
The embodiment of the invention discloses electronic equipment, which comprises a processor, a memory and a computer program which is stored on the memory and can run on the processor, wherein when the computer program is executed by the processor, the steps of the abnormal single cell identification method embodiment are realized.
The embodiment of the invention discloses a computer-readable storage medium, wherein a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps of the abnormal single cell identification method embodiment are realized.
The embodiments in the present specification are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, apparatus, or computer program product. Accordingly, embodiments of 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, embodiments of the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
Embodiments of the present invention are described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams 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 terminal to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal, 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 terminal 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 terminal to cause a series of operational steps to be performed on the computer or other programmable terminal to produce a computer implemented process such that the instructions which execute on the computer or other programmable terminal provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications of these embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the embodiments of the invention.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal 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 terminal. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or terminal that comprises the element.
The foregoing describes in detail an abnormal cell identification method, an abnormal cell identification apparatus, an electronic device, and a storage medium, and specific examples are applied herein to explain the principles and embodiments of the present invention, and the descriptions of the above examples are only used to help understand the method and the core ideas of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.

Claims (10)

1. An abnormal single cell identification method is characterized by comprising the following steps:
acquiring data records of a power battery of the electric automobile in a full life cycle; the power battery comprises a plurality of single battery cells, and the data record comprises the current of the power battery and the voltage of the single battery cells at each moment of the full life cycle;
determining a charging high period, a discharging low period and a standing period from the full life cycle according to the current of the power battery and the voltage of the single battery cell;
calculating the voltage average value and the voltage standard deviation of the single battery cell according to the voltage of the single battery cell at each moment of the charging period, the discharging period and the standing period;
and identifying the abnormal single battery cell according to the voltage of the single battery cell at each moment of the charge period, the discharge period and the standing period, the average voltage value and the standard deviation of the voltage.
2. The abnormal cell identification method of claim 1, wherein the full life cycle comprises a charging phase and a discharging phase, and the determining of the high charge period, the low discharge period and the rest period from the full life cycle according to the current of the power battery and the voltage of the cell comprises:
traversing the full life cycle and determining a first traversal time;
in the charging stage, when the difference value between the current of the power battery at the first traversal time and the current of the power battery at the previous time is smaller than a first preset threshold value, and the difference value between the current of the power battery at the first traversal time and the current of the power battery at the next time is larger than a preset ratio of the current of the power battery at the first traversal time, determining that the first traversal time belongs to a charging period;
in the traversal of the discharge stage, when the current of the power battery at the first traversal moment is greater than a second preset threshold and the lowest voltage of the single battery cell is less than a third preset threshold, it is determined that the first traversal moment belongs to a low discharge period.
3. The method according to claim 2, wherein after the traversing the full life cycle and determining the first elapsed time, the method further comprises:
the first time-lapse duration corresponds to a time window of a preset time range, and the maximum absolute value current of the power battery in the time window is extracted;
and when the maximum absolute value current of the power battery at the first traversal moment is smaller than a fourth preset threshold and the minimum voltage of the single battery cell is smaller than a fifth preset threshold, determining that the first traversal moment belongs to a standing period.
4. The method of claim 1, wherein the identifying the abnormal cell according to the voltage of the cell at each moment of the charge-up period, the discharge-down period, and the standing period, the average voltage value, and the standard voltage difference comprises:
for the charging period, according to a first preset deviation parameter, a second preset deviation parameter, the voltage average value at each moment and the voltage standard deviation, determining the number of times of over-high of the voltages of the monomer electric cores, sequencing the number of times of over-high from large to small, and taking the monomer electric cores with the first preset number of times of over-high as first monomer electric cores;
for the low discharge period, confirming the over-low times of the voltages of the monomer electric cores according to the first preset deviation parameter, the second preset deviation parameter, the voltage average value at each moment and the voltage standard deviation, sequencing the over-low times from large to small, and taking the first preset number of the monomer electric cores with the over-low times as second monomer electric cores;
and identifying the single battery cells which are the first single battery cell and the second single battery cell simultaneously as the single battery cells with abnormal capacity or internal resistance.
5. The method of claim 4, wherein the identifying the abnormal cell unit according to the voltage of the cell unit at each moment of the charge-up period, the discharge-down period, and the standing period, the average voltage value, and the standard voltage difference comprises:
for the standing period, according to the first preset deviation parameter, the second preset deviation parameter, the voltage average value at each moment and the voltage standard deviation, determining the number of times of over-low voltage of the monomer electric cores, sequencing the number of times of over-low voltage from large to small, and taking the first preset number of monomer electric cores with the number of times of over-low voltage as a third monomer electric core;
and identifying the monomer battery cell which is abnormal in capacity or internal resistance and is the monomer battery cell of the third monomer battery cell as the monomer battery cell with the abnormal low charge capacity.
6. The method of identifying abnormal individual electric cores of claim 4, wherein, for the charge-up period, determining the number of times of the voltage of the individual electric core is excessively high according to a first preset deviation parameter, a second preset deviation parameter, the voltage average value at each time, and the voltage standard deviation, includes:
traversing the charging period and determining a second traversal time;
confirming the single battery cell of which the second traversal time meets a first preset rule according to the first preset deviation parameter, the second preset deviation parameter, the voltage average value at the second traversal time and the voltage standard deviation;
sequencing the single battery cells meeting the first preset rule at the second traversal moment from high to low according to the voltage of the single battery cells, and recording that the voltage of the second preset number of the single battery cells is too high once;
and counting the number of times of overhigh voltage of the single battery cell at all moments.
7. The method of identifying abnormal individual cells of claim 4 or 5, wherein for the low discharge period or the rest period, determining the number of times of the voltage of the individual cells is too low according to a first preset deviation parameter, a second preset deviation parameter, the voltage average value at each time, and the voltage standard deviation, includes:
traversing the low-level period or the standing period, and determining a second traversal time;
confirming the single battery cell of which the second traversal time meets a second preset rule according to the first preset deviation parameter, the second preset deviation parameter, the voltage average value at the second traversal time and the voltage standard deviation;
sequencing the monomer electric cores meeting the second preset rule at the second traversal moment from low to high according to the voltages of the monomer electric cores, and recording that the voltages of a second preset number of the monomer electric cores are too low once before;
and counting the number of times of excessively low voltage of the single battery cell at all moments.
8. An abnormal cell core recognition device, the device comprising:
the data acquisition module is used for acquiring data records of a power battery of the electric automobile in the whole life cycle; the power battery comprises a plurality of single battery cells, and the data record comprises the current of the power battery and the voltage of the single battery cells at each moment of the full life cycle;
the period confirmation module is used for confirming a charging high period, a discharging low period and a standing period from the full life cycle according to the current of the power battery and the voltage of the single battery cell;
the data calculation module is used for calculating the voltage average value and the voltage standard deviation of the single battery cell according to the voltage of the single battery cell at each moment of the charging period, the discharging period and the standing period;
and the abnormity identification module is used for identifying the abnormal single battery cell according to the voltage of the single battery cell at each moment of the charging period, the discharging period and the standing period, the voltage average value and the voltage standard deviation.
9. An electronic device, comprising a processor, a memory, and a computer program stored on the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the steps of the abnormal cell identification method according to any one of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the abnormal cell identification method according to any one of claims 1 to 7.
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