CN113442787B - 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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CN113442787B
CN113442787B CN202110595371.9A CN202110595371A CN113442787B CN 113442787 B CN113442787 B CN 113442787B CN 202110595371 A CN202110595371 A CN 202110595371A CN 113442787 B CN113442787 B CN 113442787B
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voltage
single battery
period
battery cells
preset
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CN113442787A (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

Abstract

The embodiment of the invention provides a method, a device, electronic equipment and a storage medium for identifying abnormal single battery cells, wherein the method comprises the following steps: 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 cells, the data record comprises the current of the power battery and the voltage of the single battery cells at each moment in the full life cycle, the charging period, the discharging period and the standing period are confirmed from the full life cycle according to the current of the power battery and the voltage of the single battery cells, the voltage average value and the voltage standard deviation of the single battery cells are calculated through the voltage of all the single battery cells at each moment in the charging period, the discharging period and the standing period, then the abnormal single battery cells are identified according to the voltage, the voltage average value and the voltage standard deviation of the single battery cells at each moment in the charging period, the discharging period and the standing period, and the overall performance of the battery pack is effectively improved through replacing or balancing the abnormal single battery cells.

Description

Abnormal single cell identification method and device, electronic equipment and storage medium
Technical Field
The present invention relates to the field of power technology, and in particular, to a method for identifying an abnormal single cell, an apparatus for identifying an abnormal single cell, 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 automobiles. The main current power battery is a lithium ion battery, wherein common types are lithium iron phosphate, ternary lithium and lithium titanate batteries.
The charging and discharging performance of the power battery directly influences the driving experience of the electric vehicle, such as power performance, endurance mileage, safety and the like, so that the monitoring of the battery performance plays a vital role in the control and maintenance of the whole vehicle.
The power battery pack usually groups tens or even hundreds of single battery cell modules in series to meet the power output requirement. Each single cell module can show the characteristic which is not identical under the use of daily accumulation and month due to the tiny difference of production and assembly and the inconsistency in the actual charge and discharge process. The overall charge and discharge performance of the whole battery pack can be limited by individual single battery cells with poor health states according to the wooden barrel principle, the abnormal single battery cells are identified at the moment, and corresponding measures such as replacement or balance are adopted, so that the short plates can be complemented, and the overall performance of the battery pack can be effectively improved.
However, at present, under the condition of overall performance attenuation of the power battery, abnormal single battery cells in the power battery cannot be identified, so that the abnormal single battery cells cannot be replaced or balanced, and the overall performance of the battery pack is effectively improved.
Disclosure of Invention
In view of the foregoing, embodiments of the present invention are provided to provide an abnormal cell identification method, an abnormal cell identification apparatus, an electronic device, and a storage medium that overcome or at least partially solve the foregoing problems.
In order to solve the above problems, an embodiment of the present invention discloses a method for identifying abnormal single cells, the method comprising:
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 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;
according to the current of the power battery and the voltage of the single battery core, a charging period, a discharging period and a standing period are confirmed from the full life cycle;
calculating the average voltage value and standard deviation of the single battery cell through 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, the voltage average value and the voltage standard deviation of the single battery cell at each moment in the charging period, the discharging period and the standing period.
Optionally, the full life cycle includes a charging stage and a discharging stage, and the identifying a charging period, a discharging 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 includes:
traversing the full life cycle, and determining a first traversing moment;
in the charging stage, when the difference value between the current of the power battery at the first 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 time and the current of the power battery at the next time is larger than the preset duty ratio of the current of the power battery at the first time, determining that the first time belongs to a charging period;
and in the discharge stage, when the current of the power battery at the first traversal moment is larger than a second preset threshold value and the lowest voltage of the single battery core is smaller than a third preset threshold value, determining that the first traversal moment belongs to a low discharge period.
Optionally, after the traversing the full life cycle, determining the first traversal moment further comprises:
The first traversal time 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 value and the lowest voltage of the single battery core is smaller than a fifth preset threshold value, determining that the first traversal moment belongs to a standing period.
Optionally, the identifying the abnormal single battery cell according to the voltage, the voltage average value and the voltage standard deviation of the single battery cell at each moment in the charging period, the discharging period and the standing period includes:
for the charging period, confirming the excessive times of the voltage of the single battery 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, sequencing the excessive times according to the order from big to small, and taking the single battery cells with the first preset number before the excessive times as first single battery cells;
for the low-release period, confirming the excessively low times of the voltage of the single battery 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, sequencing the excessively low times according to the sequence from large to small, and taking the single battery cells with the first preset number before the excessively low times as second single battery cells;
And identifying the single battery cells which are the first single battery cell and the second single battery cell at the same time as the single battery cells with abnormal capacity or internal resistance.
Optionally, the identifying the abnormal single battery cell according to the voltage, the voltage average value and the voltage standard deviation of the single battery cell at each moment in the charging period, the discharging period and the standing period includes:
for the standing period, confirming the excessively low times of the voltage of the single battery 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, sequencing the excessively low times according to the order from large to small, and taking the single battery cells with the first preset number before the excessively low times as third single battery cells;
and identifying the single battery cell which is the third single battery cell and is not the single battery cell with abnormal capacity or internal resistance as the single battery cell with abnormal low charge.
Optionally, for the charging period, determining the number of times of the voltage overhigh for the single cell according to a first preset deviation parameter, a second preset deviation parameter, the voltage average value at each moment and the voltage standard deviation includes:
Traversing the charging period, and determining a second traversing time;
according to the first preset deviation parameter, the second preset deviation parameter, the voltage average value and the voltage standard deviation at the second traversing moment, the single battery cell meeting the first preset rule at the second traversing moment is confirmed;
sequencing the single battery cells meeting the first preset rule at the second traversal time from high to low according to the voltage of the single battery cells, and recording that the voltage of the single battery cells of the second preset number is too high once before;
and counting all moments to obtain the overhigh times of the single cell voltage.
Optionally, for the low-voltage period or the rest period, determining the number of times of excessively low voltage of the single cell according to a first preset deviation parameter, a second preset deviation parameter, the voltage average value and the voltage standard deviation at each moment includes:
traversing the low-lying period or the standing period, and determining a second traversing moment;
according to the first preset deviation parameter, the second preset deviation parameter, the voltage average value and the voltage standard deviation at the second traversing moment, the single battery cell meeting a second preset rule at the second traversing moment is confirmed;
Sequencing the single battery cells meeting the two preset rules at the second traversal time from low to high according to the voltage of the single battery cells, and recording that the voltage of the single battery cells of the second preset number is too low once before;
and counting all moments to obtain the excessively low frequency of the single cell voltage.
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 the 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;
the period confirmation module is used for confirming a charging period, a discharging 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 core;
the data calculation module is used for calculating the average voltage value and the standard deviation of the voltage of the single battery cell through the voltage of the single battery cell at each moment of the charging period, the discharging period and the standing period;
the abnormal identification module is used for identifying abnormal single battery cells according to the voltage, the voltage average value and the voltage standard deviation of the single battery cells at each moment of the charging period, the discharging period and the standing period.
Optionally, the full life cycle includes a charging phase and a discharging phase, and the period confirmation module includes:
the cycle traversing submodule is used for traversing the full life cycle and determining a first traversing moment;
a period confirmation first sub-module, configured to determine, in the charging period, that the first traversal time belongs to a charging period when a difference between a current of the power battery at the first traversal time and a current of the power battery at a previous time is smaller than a first preset threshold, and a difference between the current of the power battery at the first traversal time and the current of the power battery at a subsequent time is greater than a preset duty ratio of the current of the power battery at the first traversal time;
and the period confirmation second submodule is used for determining that the first traversal time belongs to a low discharge period when the current of the power battery at the first traversal time is larger than a second preset threshold and the lowest voltage of the single battery core is smaller than a third preset threshold in the traversal of the discharge period.
Optionally, after the period traverses the submodule, the method further includes:
the current extraction sub-module is used for extracting the maximum absolute value current of the power battery in a time window corresponding to a preset time range at the first traversal moment;
And the period confirmation third sub-module is used for determining that the first traversal time belongs to a standing period when the maximum absolute value current of the power battery at the first traversal time is smaller than a fourth preset threshold value and the lowest voltage of the single battery core is smaller than a fifth preset threshold value.
Optionally, the anomaly identification module includes:
the battery cell confirming first sub-module is used for confirming the excessive times of the voltage of the single battery cell according to a first preset deviation parameter, a second preset deviation parameter, the voltage average value at each moment and the voltage standard deviation aiming at the charging period, sequencing the excessive times according to the order from large to small, and taking the single battery cell with the first preset number of the excessive times as a first single battery cell;
the battery cell confirming second sub-module is used for confirming the excessively low times of the voltage of the single battery cell according to the first preset deviation parameter, the second preset deviation parameter, the voltage average value at each moment and the voltage standard deviation aiming at the low release period, sequencing the excessively low times from large to small, and taking the first preset number of single battery cells with the excessively low times as second single battery cells;
And the abnormal identification first sub-module is used for identifying the single battery cells which are the first single battery cell and the second single battery cell at the same time as the single battery cells with abnormal capacity or internal resistance.
Optionally, the anomaly identification module includes:
the battery cell confirming third sub-module is used for confirming the excessively low times of the voltage of the single battery cell according to the first preset deviation parameter, the second preset deviation parameter, the voltage average value at each moment and the voltage standard deviation aiming at the standing period, sequencing the excessively low times according to the order from large to small, and taking the first preset number of single battery cells with the excessively low times as third single battery cells;
and the abnormal identification second sub-module is used for identifying the abnormal single battery cell with the excessively low charge quantity as the single battery cell with the abnormal capacity or internal resistance.
Optionally, the cell confirms the first sub-module, including:
a period traversing first unit for traversing the charging period and determining a second traversing time;
the battery cell confirming first unit is used for confirming the single battery cell meeting a first preset rule at the second traversal moment according to the first preset deviation parameter, the second preset deviation parameter, the voltage average value at the second traversal moment and the voltage standard deviation;
The first unit of the frequency record is used for sequencing the single battery cells meeting the first preset rule at the second traversal time from high to low according to the voltage of the single battery cells, and recording that the voltage of the single battery cells of the second preset number is too high once before;
the first frequency counting unit is used for counting the excessive frequency of the single cell voltage at all times.
Optionally, the second sub-module for cell confirmation or the third sub-module for cell confirmation includes:
a period traversing second unit for traversing the low-lying period or the standing period and determining a second traversing moment;
the battery cell confirmation second unit is used for confirming the single battery cell meeting a second preset rule at the second traversal moment according to the first preset deviation parameter, the second preset deviation parameter, the voltage average value at the second traversal moment and the voltage standard deviation;
the frequency recording second unit is used for sequencing the single battery cells meeting the two preset rules at the second traversal time from low to high according to the voltage of the single battery cells, and recording that the voltage of the single battery cells of the second preset number is too low once before;
And the frequency counting second unit is used for counting the times of obtaining the excessively low voltage of the single battery cell at all times.
The embodiment of the invention discloses an electronic device, which comprises a processor, a memory and a computer program stored on the memory and capable of running on the processor, wherein the computer program realizes the steps of the abnormal single cell identification method when being executed by the processor.
The embodiment of the invention discloses a computer readable storage medium, wherein a computer program is stored on the computer readable storage medium, and the computer program realizes the steps of the abnormal single cell identification method when being executed by a processor.
The embodiment of the invention has the following advantages:
in the embodiment of the invention, the charging period, the discharging 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 charging period, the discharging period and the standing period, then the abnormal single battery cells are identified according to the voltage, the voltage average value and the voltage standard deviation of the single battery cells at each moment of the charging period, the discharging period and the standing period, and the overall performance of the battery pack is effectively improved by adopting replacement or balancing of the abnormal single battery cells.
Drawings
FIG. 1 is a flow chart of steps of an embodiment of an abnormal single cell identification method of the present invention;
FIG. 2 is a flow chart of steps of another embodiment of an abnormal cell identification method of the present invention;
fig. 3 is a block diagram illustrating an embodiment of an abnormal cell identification apparatus according to the present invention.
Detailed Description
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description.
For the monomer battery cores with abnormal health degrees, the abnormal monomer battery cores can show higher voltage during charging and lower external characteristics during discharging; the single battery cell with the low charge amount can show the external characteristic of lower voltage after the battery pack is kept still, but the symptom of the abnormal battery cell with the abnormal health degree is not generated. The embodiment of the invention screens out typical conditions conforming to the description through extraction, transformation and statistical analysis of the power battery pack data, comprehensively considers the relativity and absolute property of the voltage of the single battery cells based on a computer ordering algorithm and frequency statistics, and realizes the rapid and effective identification of abnormal single battery cells.
Referring to fig. 1, a step flow chart of an embodiment of an abnormal single cell identification method of the present invention is shown, and 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 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 power battery is a lithium ion battery adopted by the running of the electric automobile, such as a lithium iron phosphate battery, a ternary lithium battery, a lithium titanate battery and the like; the power battery generally groups tens or even hundreds of single battery cells in a serial connection mode so as to meet the power output requirement of the electric automobile; a data record of the full life cycle of the power battery, including the voltage, current, and voltage of each individual cell of the power battery at each time in the full life cycle of the power battery, is obtained from a Battery Management System (BMS).
Specifically, a data record of the power battery of the electric automobile in a full life cycle is obtained, wherein the data record comprises 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 102, confirming a charging period, a discharging 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 core.
The battery cell has the characteristics of high and low voltage, namely a charging period in a charging stage and a discharging period in a discharging stage; and the monomer battery core with too low charge quantity can show the external characteristic of lower voltage in the standing period.
Specifically, the charging period, the discharging period and the standing period are confirmed 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 average voltage value and standard deviation of the voltage of the single battery cell through the voltage of the single battery cell at each moment of the charging period, the discharging period and the standing period.
Specifically, after the charging period, the discharging period and the standing period are confirmed from the full life cycle according to the current of the power battery at each moment and the voltage of the single battery cell, the average voltage value and the standard deviation of the voltage of the single battery cell at each moment are calculated through the voltages of all the single battery cells at each moment of the charging period, the discharging period and the standing period.
And 104, identifying the abnormal single battery cell according to the voltage, the voltage average value and the voltage standard deviation of the single battery cell 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) and excessively low charge.
Specifically, after the voltage average value and the voltage standard deviation of the single battery cells at each moment are calculated, the abnormal single battery cells are identified according to the voltage, the voltage average value and the voltage standard deviation of the single battery cells at each moment in the charging period, the discharging period and the standing period.
In the embodiment of the invention, the charging period, the discharging 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 charging period, the discharging period and the standing period, then the abnormal single battery cells are identified according to the voltage, the voltage average value and the voltage standard deviation of the single battery cells at each moment of the charging period, the discharging period and the standing period, and the overall performance of the battery pack is effectively improved by adopting the replacement or the balance of the abnormal single battery cells.
Referring to fig. 2, a flowchart illustrating steps of another embodiment of an abnormal cell identification method according to 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 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.
And 202, confirming a charging period, a discharging 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 core.
In an embodiment of the present invention, the full life cycle includes a charging phase and a discharging phase, and the identifying a charging period, a discharging period and a standing period from the full life cycle according to the current of the power battery and the voltage of the single cell includes: traversing the full life cycle, and determining a first traversing moment; in the charging stage, when the difference value between the current of the power battery at the first 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 time and the current of the power battery at the next time is larger than the preset duty ratio of the current of the power battery at the first time, determining that the first time belongs to a charging period; and in the discharge stage, when the current of the power battery at the first traversal moment is larger than a second preset threshold value and the lowest voltage of the single battery core is smaller than a third preset threshold value, determining that the first traversal moment belongs to a low discharge period.
The charging phase is a parking charging period of a full life cycle, and the discharging phase is a driving discharging period of the full life cycle; the first preset threshold value, the second preset threshold value, the third preset threshold value and the preset duty ratio are values which are determined in advance through calculation and analysis.
Specifically, each time of the full life cycle is traversed, and the traversed time is taken as a first traversing time; and determining a charging phenomenon when the difference 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 and the difference 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 the preset duty ratio of the current of the power battery at the first traversal time, namely determining that the first traversal time belongs to the charging period, so as to determine the time occupied by the charging period in the full life cycle.
And in the stage of traversing to discharging, when the current of the power battery at the first traversing moment is larger than a second preset threshold value and the lowest voltage of the single battery core is smaller than a third preset threshold value, determining that the first traversing moment belongs to a low discharging period, and determining the moment occupied by the low discharging period in the full life cycle.
In an embodiment of the present invention, after the traversing the full life cycle, determining the first traversal time further comprises: the first traversal time 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 value and the lowest voltage of the single battery core is smaller than a fifth preset threshold value, determining that the first traversal moment belongs to a standing period.
Wherein, a time in the whole life cycle corresponds to a time window of a preset time range, for example, the preset time range from each time to the front of each time data is the time window; the fourth preset threshold value and the fifth preset threshold value are values determined in advance through calculation and analysis.
Specifically, at each time of the full life cycle, the time of the full life cycle is taken as a first time of the full life cycle, the first time of the full life cycle is taken as a time window corresponding to a preset time range, current data in the time window are extracted, the maximum absolute value current in the circuit data is confirmed to be the maximum absolute value current of the first time of the full life cycle, and when the maximum absolute value current of the power battery at the first time of the full life cycle is smaller than a fourth preset threshold value and the minimum voltage of the single battery is smaller than a fifth preset threshold value, the first time of the full life cycle is confirmed to belong to the standing period, so that the time of the full life cycle of the standing period is confirmed.
And 203, calculating the average voltage value and the standard deviation of the voltage of the single battery cell through 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 excessive voltage of the single battery cell according to a first preset deviation parameter, a second preset deviation parameter, the voltage average value at each moment and the voltage standard deviation, and sorting the number of times of the excessive voltage according to the order from large to small, and taking the single battery cell with the first preset number of times of the excessive voltage as a first single battery cell.
Specifically, in the charging period, the single battery cells with the over-high voltage exist, the over-high frequency of the voltage of the single battery cells in the whole charging period is confirmed through a first preset deviation parameter, a second preset deviation parameter, a voltage average value at each moment and a voltage standard deviation, the single battery cells are ordered according to the over-high frequency of the voltage from large to small, the single battery cells with the over-high frequency in the first preset quantity and the over-high frequency larger than zero are taken as the first single battery cells, and namely the single battery cells with the over-high voltage in the charging period are charged.
In an embodiment of the present invention, for the charging period, determining the number of times of the voltage of the single cell 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 traversing time; according to the first preset deviation parameter, the second preset deviation parameter, the voltage average value and the voltage standard deviation at the second traversing moment, the single battery cell meeting the first preset rule at the second traversing moment is confirmed; sequencing the single battery cells meeting the first preset rule at the second traversal time from high to low according to the voltage of the single battery cells, and recording that the voltage of the single battery cells of the second preset number is too high once before; and counting all moments to obtain the overhigh times of the single cell voltage.
The first preset deviation parameter and the second preset deviation parameter are values determined in advance through calculation and analysis.
Specifically, when the excessive times of the single battery cells in the charging period are confirmed, each moment of the charging period needs to be traversed, and the single battery cells meeting the first preset rule at the second traversal moment are confirmed through the first preset deviation parameter, the second preset deviation parameter, the voltage average value and the voltage standard deviation at the second traversal moment.
For example, the first preset deviation parameter is lambda and the second preset deviation parameter is delta v The voltage of a single cell at the second traversing time is c ij Average voltage of mu j Standard deviation of voltage sigma j At the second traversal time, if c ij ＞＝μ j +λ·σ j And c ij ＞＝μ j +Δ v At this time, the single cell meets a first preset rule.
Sequencing the single battery cells meeting the first preset rule in the second traversal time from high to low according to the voltage of the single battery cells, and recording that the voltage of the single battery cells of the second preset number is too high once before; and counting all times of all the over-high times of the single cell voltage in the charging period.
Step 205, for the low-release period, determining the number of times of excessively low voltage of the single battery 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, and sorting the number of times of excessively low voltage according to the order from large to small, and taking the single battery cells with the first preset number of times of excessively low voltage as second single battery cells.
Specifically, the monomer battery cells with the excessively low voltage exist in the low-voltage period, the excessively low frequency of the voltage of the monomer battery cells in the whole low-voltage period is confirmed 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 battery cells are ordered according to the excessively high frequency of the voltage from large to small, and the monomer battery cells with the excessively low frequency, the first preset quantity of the monomer battery cells with the excessively low frequency larger than zero before the excessively low frequency, are taken as the second monomer battery cells, namely the monomer battery cells with the excessively low voltage in the low-voltage period.
In an embodiment of the present invention, for the low-discharge period, determining the number of times of excessively low cell voltages according to a first preset deviation parameter, a second preset deviation parameter, the voltage average value and the voltage standard deviation at each time includes: traversing the low-release period, and determining a second traversing moment; according to the first preset deviation parameter, the second preset deviation parameter, the voltage average value and the voltage standard deviation at the second traversing moment, the single battery cell meeting a second preset rule at the second traversing moment is confirmed; sequencing the single battery cells meeting the two preset rules at the second traversal time from low to high according to the voltage of the single battery cells, and recording that the voltage of the single battery cells of the second preset number is too low once before; and counting all moments to obtain the excessively low frequency of the single cell voltage.
Specifically, when the excessively low frequency of the single battery cell in the low-voltage period is confirmed, each moment of the low-voltage period needs to be traversed, and the single battery cell meeting the second preset rule at the second traversal moment is confirmed through the first preset deviation parameter, the second preset deviation parameter, the voltage average value and the voltage standard deviation at the second traversal moment.
For example, the first preset deviation parameter is lambda and the second preset deviation parameter is delta v The voltage of the single cell in the second traversing time is c ij Average voltage of mu j Standard deviation of voltage sigma j At the second traversal time, if c ij ＞＝μ j +λ·σ j And c ij ＞＝μ j +Δ v Then the single cell meets a second preset rule.
Sequencing the single battery cells meeting the second preset rule in the second traversal time from low to high according to the voltage of the single battery cells, and recording that the voltage of the single battery cells of the second preset number is too low once before; and counting all times of excessively low single cell voltages in the low-voltage period.
And 206, identifying the single battery cells which are the first single battery cell and the second single battery cell at the same time as the single battery cells with abnormal capacity or internal resistance.
Specifically, after the first single cell and the second single cell are identified, the single cells which are the first single cell and the second single cell at the same time are identified as the single cells with abnormal capacity or internal resistance.
In the embodiment of the invention, the voltage of the single battery cells in each moment is sequenced and statistically analyzed by traversing the high-charge period and the low-discharge period in the whole life cycle of the power battery, so that the single battery cells with the over-high voltage in the high-charge period and the single battery cells with the over-low voltage in the low-discharge period are confirmed, then the single battery cells with abnormal capacity or internal resistance are rapidly and effectively identified, and further, measures such as replacing the single battery cells are adopted to complement the short plates 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 the abnormal single cell according to the voltage, the voltage average value, and the voltage standard deviation of the single cell at each time of the charging period, the discharging period, and the rest period includes: for the standing period, confirming the excessively low times of the voltage of the single battery 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, sequencing the excessively low times according to the order from large to small, and taking the single battery cells with the first preset number before the excessively low times as third single battery cells; and identifying the single battery cell which is the third single battery cell and is not the single battery cell with abnormal capacity or internal resistance as the single battery cell with abnormal low charge.
Specifically, the excessively low frequency of the voltage of the single battery cell in the whole standing period is confirmed through a first preset deviation parameter, a second preset deviation parameter, a voltage average value at each moment and a voltage standard deviation, the single battery cells are ordered according to the excessively high frequency of the voltage from large to small, and the single battery cells with the excessively low frequency of the first preset quantity and the excessively low frequency of the first preset quantity larger than zero are taken as third single battery cells, namely the single battery cells with the excessively low voltage in the standing period. And identifying the monomer battery cell which is the third monomer battery cell and is not the monomer battery cell with abnormal capacity or internal resistance as the monomer battery cell with abnormal low charge.
In the embodiment of the invention, the voltage of the single battery cells in each moment is sequenced and statistically analyzed by traversing the standing period in the whole life cycle of the power battery, so that the single battery cells with low voltage in the standing period are identified, then the single battery cells with abnormal charge quantity are rapidly and effectively identified based on the single battery cells with abnormal capacity or internal resistance, and further corresponding measures such as balancing are adopted to complement the short plates 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 rest period, determining the number of times of excessively low cell voltages 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 moment; according to the first preset deviation parameter, the second preset deviation parameter, the voltage average value and the voltage standard deviation at the second traversing moment, the single battery cell meeting a second preset rule at the second traversing moment is confirmed; sequencing the single battery cells meeting the two preset rules at the second traversal time from low to high according to the voltage of the single battery cells, and recording that the voltage of the single battery cells of the second preset number is too low once before; and counting all moments to obtain the excessively low frequency of the single cell voltage.
Specifically, when the excessively low times of the single battery cells in the standing period are confirmed, each moment of the standing period needs to be traversed, and the single battery cells meeting the second preset rule at the second traversing moment are confirmed through the first preset deviation parameter, the second preset deviation parameter, the voltage average value and the voltage standard deviation at the second traversing moment.
For example, the first preset deviation parameter is lambda and the second preset deviation parameter is delta v The voltage of the single cell in the second traversing time is c ij Average voltage of mu j Standard deviation of voltage isσ j At the second traversal time, if c ij ＞＝μ j +λ·σ j And c ij ＞＝μ j +Δ v Then the single cell meets a second preset rule.
Sequencing the single battery cells meeting the second preset rule in the second traversal time from low to high according to the voltage of the single battery cells, and recording that the voltage of the single battery cells of the second preset number is too low once before; and counting all times of excessively low single cell voltages in the standing period at all times.
In the embodiment of the invention, the data record in the whole life cycle of the power battery is obtained, the voltage of the single battery cells in each moment is sequenced and statistically analyzed by traversing the charging period, the low discharging period and the standing period in the whole life cycle of the power battery, the single battery cells with over-high voltage in the charging period, the single battery cells with over-low voltage in the low discharging period and the single battery cells with over-low voltage in the standing period are confirmed, then the single battery cells with abnormal capacity or internal resistance and the single battery cells with over-low abnormal charge are rapidly and effectively identified, and further corresponding measures such as replacing the single battery cells or balancing the single battery cells are adopted to complement the short plates 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 description of the embodiments of the present invention will be given by way of a specific example.
1. Extracting data record of full life cycle of power battery in battery BMS, including voltage, current and single voltage sequence data, according to sequential sequence of generation time, recording as V, I, C 1 ,C 2 ,...,C n And 2+n sequences, wherein N is the total number of the serial single battery cores, and the serial numbers of all the single battery cores are N. Each sequence has a data record of the same length, representing the battery state at each historical time instant, defining the aggregate set at all time instants as K (i.e., the time instant index aggregate set of data). The complete data record at each moment is v k ,i k ,c 1k ,c 2k ,...,c nk K epsilon K, each data record is generated with a time interval deltat.
2. The high-charge period, the low-discharge period, and the rest period are confirmed from the full life cycle.
And (5) high-stage confirmation: selecting data records of all charging stages in a full life cycle, and screening a subscript set K at each down-flow time of charging from the data records of all charging stages according to a certain standard H For the period of high altitude
Figure BDA0003090807120000151
Screening criteria such as: the difference between the current of the power battery of each time data record and the current of the power battery of the previous time data record is required to be smaller than a first preset threshold value i Hp At the same time, the current difference of the power battery recorded by data at each moment is required to be larger than a certain preset duty ratio p of the current value of the power battery at the moment H ；
Low shelf life confirmation: selecting data records of all discharging stages in the full life cycle, wherein the current (discharging current) of the power battery at each moment is required to be larger than a second preset threshold value i D At the same time, the lowest voltage of the single battery core at each moment is smaller than a third preset threshold value c D Screening out a subscript set K meeting the condition L Is of low shelf life
Figure BDA0003090807120000161
Stationary phase confirmation: each time corresponds to a time window with a preset time range, and the preset time range is t R For the preset time range t before each moment of data R Statistics is carried out on the data records in the time window of each moment to obtain a maximum value sequence I of the absolute value of the current in the time window of each moment max At this time, the absolute value of the required current is smaller than the fourth preset threshold i R Meanwhile, the voltage of the single battery cell is smaller than a fifth preset threshold value c R Screening out a subscript set K meeting the condition R For the rest period
Figure BDA0003090807120000162
3. For the high-phase K H Low shelf lifeK L Rest period K R Calculating the average value mu of the voltages of all the single battery cells in the data record at each moment j Sum voltage standard deviation sigma j 。
4. Setting statistical quantity of parameters P and Q, a first deviation parameter lambda and a second deviation parameter delta v . Preparing a count s from 0 for each individual cell i I epsilon N, all the single cell counts are an array S with length N, and the secondary charging period is K H Low shelf life K L Rest period K R And determining the single battery cell with the over-high voltage and the single battery cell with the over-low voltage.
For the high-phase K H Sequencing the voltage of the single battery cells from high to low at each moment, if one single battery cell meets c ij ＞＝μ j +λ·σ j And c ij ＞＝μ j +Δ v When the voltage of the single cell is ranked at the first second preset number P of the row and the voltage of the single cell is too high, the single cell is determined to be too high once, and s is made i ＝s i +1; after counting the number of times of the excessive voltage of the single battery cells, sorting the single battery cells from large to small according to the number of times of the excessive voltage, namely sorting S from large to small, and taking a first preset number Q of single battery cell sets N with actual counts larger than 0 A Is a single cell (a first single cell) with overhigh voltage;
for low release period K L Sequencing the voltage of the single battery cells from low to high at each moment, if one single battery cell meets c ij <＝μ j -λ·σ j And c ij <＝μ j -Δ v When the voltage of the single cell is ranked at the first second preset number P of the row, the single cell voltage is determined to be too low once, and s is made i ＝s i +1; after counting the too low frequency of the voltage of the single battery cells, sorting the single battery cells from large to small according to the too low frequency of the voltage, namely sorting S from large to small, and taking a first preset number Q of single battery cell sets N with actual counts larger than 0 B A single cell (second single cell) with too low a voltage;
for the standing period K R Sequencing the voltage of the single battery cells from low to high at each moment, if one single battery cell meets c ij <＝μ j -λ·σ j And c ij <＝μ j -Δ v When the voltage of the single cell is ranked at the first second preset number P of the row, the single cell voltage is determined to be too low once, and s is made i ＝s i +1; after counting the too low frequency of the voltage of the single battery cells, sorting the single battery cells from large to small according to the too low frequency of the voltage, namely sorting S from large to small, and taking a first preset number Q of single battery cell sets N with actual counts larger than 0 C Is a single cell with too low a voltage (a third single cell).
5. Single cell N with over-high voltage in charging period A And a single cell N with too low a voltage in a low-voltage period B Taking intersection, i.e. N X ＝N A ∩N B The set N X Namely, the single cell having abnormality in capacity or internal resistance is identified.
6. Single cell N with too low voltage in standing period C And the result N of the last step X Taking the difference set, i.e. N Y ＝N C -N X The set N Y And identifying the single cell set which is too low in electric quantity and needs to be balanced.
7. Output the final result N X And N Y 。
In the embodiment of the invention, the voltage of the single battery cells in each moment is sequenced and statistically analyzed by traversing the charging period, the low discharging period and the standing period in the whole life cycle of the power battery, so that the single battery cells with over-high voltage in the charging period, the single battery cells with over-low voltage in the low discharging period and the single battery cells with over-low voltage in the standing period are confirmed, then the single battery cells with abnormal capacity or internal resistance and the single battery cells with over-low abnormal charge are rapidly and effectively identified, and further corresponding measures such as single battery cell replacement or single battery cell balancing are adopted to complement the short plates of the power battery, thereby effectively improving the overall performance of the battery pack.
It should be noted that, for simplicity of description, the method embodiments are shown as a series of acts, but it should be understood by those skilled in the art that the embodiments are not limited by the order of acts, as some steps may occur in other orders or concurrently in accordance with the embodiments. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred embodiments, and that the acts are not necessarily required by the embodiments of the invention.
Referring to fig. 3, a block diagram of an embodiment of an abnormal single cell identification device 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 configured to acquire a data record of a full life cycle of a power battery of the electric vehicle; 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 confirmation module 302, configured to confirm a charging period, a discharging 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;
a data calculation module 303, configured to calculate, at each time of the charging period, the discharging period, and the standing period, a voltage average value and a voltage standard deviation of the single battery cell by using the voltage of the single battery cell;
the abnormality identification module 304 is configured to identify an abnormal single cell according to the voltage, the voltage average value, and the voltage standard deviation of the single cell at each time of the charging period, the discharging period, and the standing period.
In one 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 traversing submodule is used for traversing the full life cycle and determining a first traversing moment;
a period confirmation first sub-module, configured to determine, in the charging period, that the first traversal time belongs to a charging period when a difference between a current of the power battery at the first traversal time and a current of the power battery at a previous time is smaller than a first preset threshold, and a difference between the current of the power battery at the first traversal time and the current of the power battery at a subsequent time is greater than a preset duty ratio of the current of the power battery at the first traversal time;
and the period confirmation second submodule is used for determining that the first traversal time belongs to a low discharge period when the current of the power battery at the first traversal time is larger than a second preset threshold and the lowest voltage of the single battery core is smaller than a third preset threshold in the traversal of the discharge period.
In one embodiment of the present invention, after the period traverses the submodule, the method further includes:
the current extraction sub-module is used for extracting the maximum absolute value current of the power battery in a time window corresponding to a preset time range at the first traversal moment;
And the period confirmation third sub-module is used for determining that the first traversal time belongs to a standing period when the maximum absolute value current of the power battery at the first traversal time is smaller than a fourth preset threshold value and the lowest voltage of the single battery core is smaller than a fifth preset threshold value.
In an embodiment of the present invention, the anomaly identification module 304 includes:
the battery cell confirming first sub-module is used for confirming the excessive times of the voltage of the single battery cell according to a first preset deviation parameter, a second preset deviation parameter, the voltage average value at each moment and the voltage standard deviation aiming at the charging period, sequencing the excessive times according to the order from large to small, and taking the single battery cell with the first preset number of the excessive times as a first single battery cell;
the battery cell confirming second sub-module is used for confirming the excessively low times of the voltage of the single battery cell according to the first preset deviation parameter, the second preset deviation parameter, the voltage average value at each moment and the voltage standard deviation aiming at the low release period, sequencing the excessively low times from large to small, and taking the first preset number of single battery cells with the excessively low times as second single battery cells;
And the abnormal identification first sub-module is used for identifying the single battery cells which are the first single battery cell and the second single battery cell at the same time 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 battery cell confirming third sub-module is used for confirming the excessively low times of the voltage of the single battery cell according to the first preset deviation parameter, the second preset deviation parameter, the voltage average value at each moment and the voltage standard deviation aiming at the standing period, sequencing the excessively low times according to the order from large to small, and taking the first preset number of single battery cells with the excessively low times as third single battery cells;
and the abnormal identification second sub-module is used for identifying the abnormal single battery cell with the excessively low charge quantity as the single battery cell with the abnormal capacity or internal resistance.
In an embodiment of the present invention, the cell confirmation first submodule includes:
a period traversing first unit for traversing the charging period and determining a second traversing time;
the battery cell confirming first unit is used for confirming the single battery cell meeting a first preset rule at the second traversal moment according to the first preset deviation parameter, the second preset deviation parameter, the voltage average value at the second traversal moment and the voltage standard deviation;
The first unit of the frequency record is used for sequencing the single battery cells meeting the first preset rule at the second traversal time from high to low according to the voltage of the single battery cells, and recording that the voltage of the single battery cells of the second preset number is too high once before;
the first frequency counting unit is used for counting the excessive frequency of the single cell voltage at all times.
In an embodiment of the present invention, the cell confirmation second sub-module or the cell confirmation third sub-module includes:
a period traversing second unit for traversing the low-lying period or the standing period and determining a second traversing moment;
the battery cell confirmation second unit is used for confirming the single battery cell meeting a second preset rule at the second traversal moment according to the first preset deviation parameter, the second preset deviation parameter, the voltage average value at the second traversal moment and the voltage standard deviation;
the frequency recording second unit is used for sequencing the single battery cells meeting the two preset rules at the second traversal time from low to high according to the voltage of the single battery cells, and recording that the voltage of the single battery cells of the second preset number is too low once before;
And the frequency counting second unit is used for counting the times of obtaining the excessively low voltage of the single battery cell at all times.
For the device embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, and reference is made to the description of the method embodiments for relevant points.
The embodiment of the invention discloses an electronic device, which comprises a processor, a memory and a computer program stored on the memory and capable of running on the processor, wherein the computer program realizes the steps in the embodiment of the abnormal single cell identification method when being executed by the processor.
The embodiment of the invention discloses a computer readable storage medium, wherein a computer program is stored on the computer readable storage medium, and the computer program realizes the steps in the abnormal single cell identification method embodiment when being executed by a processor.
In this specification, each embodiment is described in a progressive manner, and each embodiment is mainly described by differences from other embodiments, and identical and similar parts between the embodiments are all enough to be referred to each other.
It will be apparent to those skilled in the art that 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 invention may take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) 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 flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing terminal device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal device, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiment and all such alterations and modifications as fall within the scope of the embodiments of the invention.
Finally, it is further noted that relational terms such as first and second, and the like are 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. Moreover, 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 one … …" does not exclude the presence of other like elements in a process, method, article or terminal device comprising the element.
The above description of the present invention provides a method for identifying abnormal single cells, an apparatus for identifying abnormal single cells, an electronic device and a storage medium, and specific examples are applied to illustrate the principles and embodiments of the present invention, and the above description of the examples is only used to help understand the method and core idea of the present invention; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present invention, the present description should not be construed as limiting the present invention in view of the above.

Claims (7)

1. An abnormal single cell identification method, which is characterized by comprising the following steps:
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 cells, 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, and the full life cycle comprises a charging stage and a discharging stage;
and according to the current of the power battery and the voltage of the single battery core, confirming a charging period, a discharging period and a standing period from the full life cycle, wherein the method specifically comprises the following steps of: traversing the full life cycle, and determining a first traversing moment; in the charging stage, when the difference value between the current of the power battery at the first 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 time and the current of the power battery at the next time is larger than the preset duty ratio of the current of the power battery at the first time, determining that the first time belongs to a charging period; when the current of the power battery at the first traversal time is larger than a second preset threshold and the lowest voltage of the single battery core is smaller than a third preset threshold, determining that the first traversal time belongs to a low discharge period;
Calculating the average voltage value and standard deviation of the single battery cell through the voltage of the single battery cell at each moment of the charging period, the discharging period and the standing period;
identifying the abnormal single battery cell according to the voltage, the voltage average value and the voltage standard deviation of the single battery cell at each moment in the charging period, the discharging period and the standing period, wherein the method specifically comprises the following steps: traversing the charging period, and determining a second traversing time; according to a first preset deviation parameter, a second preset deviation parameter, the voltage average value and the voltage standard deviation at the second traversing moment, the single battery cell meeting the first preset rule at the second traversing moment is confirmed; sequencing the single battery cells meeting the first preset rule at the second traversal time from high to low according to the voltage of the single battery cells, and recording that the voltage of the single battery cells of the first second preset number is too high once; counting all times to obtain the excessive times of the voltage of the single battery cell, sequencing the excessive times according to the order from large to small, and taking the single battery cells with the first preset number of the excessive times as first single battery cells; traversing the low-release period, and determining a second traversing moment; according to the first preset deviation parameter, the second preset deviation parameter, the voltage average value at the second traversing moment and the voltage standard deviation, the single battery cell meeting the second preset rule at the second traversing moment is confirmed; sequencing the single battery cells meeting the second preset rule at the second traversal time from low to high according to the voltage of the single battery cells, and recording that the voltage of the single battery cells of the second preset number is too low once before; counting all times to obtain the excessively low frequency of the voltage of the single battery cell, sequencing the excessively low frequency according to the order from large to small, and taking the first preset number of single battery cells with the excessively low frequency as second single battery cells; and identifying the single battery cells which are the first single battery cell and the second single battery cell at the same time as the single battery cells with abnormal capacity or internal resistance.
2. The method of abnormal cell identification of claim 1, further comprising, after said traversing the full life cycle, determining a first traversal time:
the first traversal time 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 value and the lowest voltage of the single battery core is smaller than a fifth preset threshold value, determining that the first traversal moment belongs to a standing period.
3. The method for identifying abnormal single cells according to claim 1, wherein the identifying the abnormal single cells based on the voltage, the voltage average value, and the voltage standard deviation of the single cells at each time of the charging period, the discharging period, and the rest period comprises:
for the standing period, confirming the excessively low times of the voltage of the single battery 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, sequencing the excessively low times according to the order from large to small, and taking the single battery cells with the first preset number before the excessively low times as third single battery cells;
And identifying the single battery cell which is the third single battery cell and is not the single battery cell with abnormal capacity or internal resistance as the single battery cell with abnormal low charge.
4. The abnormal cell identification method according to claim 3, wherein for the rest period, confirming the number of times of excessively low cell voltage according to a first preset deviation parameter, a second preset deviation parameter, the voltage average value at each time and the voltage standard deviation comprises:
traversing the standing period, and determining a second traversing moment;
according to the first preset deviation parameter, the second preset deviation parameter, the voltage average value at the second traversing moment and the voltage standard deviation, the single battery cell meeting the second preset rule at the second traversing moment is confirmed;
sequencing the single battery cells meeting the second preset rule at the second traversal time from low to high according to the voltage of the single battery cells, and recording that the voltage of the single battery cells of the second preset number is too low once before;
and counting all moments to obtain the excessively low frequency of the single cell voltage.
5. An abnormal cell identification device, the device comprising:
The data acquisition module is used for acquiring data records of the power battery of the electric automobile in a full life cycle; the power battery comprises a plurality of single battery cells, 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, and the full life cycle comprises a charging stage and a discharging stage;
the period confirmation module is used for confirming a charging period, a discharging 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 core, and specifically comprises the following steps: traversing the full life cycle, and determining a first traversing moment; in the charging stage, when the difference value between the current of the power battery at the first 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 time and the current of the power battery at the next time is larger than the preset duty ratio of the current of the power battery at the first time, determining that the first time belongs to a charging period; when the current of the power battery at the first traversal time is larger than a second preset threshold and the lowest voltage of the single battery core is smaller than a third preset threshold, determining that the first traversal time belongs to a low discharge period;
The data calculation module is used for calculating the average voltage value and the standard deviation of the voltage of the single battery cell through the voltage of the single battery cell at each moment of the charging period, the discharging period and the standing period;
the abnormality identification module is configured to identify an abnormal single cell according to the voltage, the voltage average value and the voltage standard deviation of the single cell at each moment in the charging period, the discharging period and the standing period, and specifically includes: traversing the charging period, and determining a second traversing time; according to a first preset deviation parameter, a second preset deviation parameter, the voltage average value and the voltage standard deviation at the second traversing moment, the single battery cell meeting the first preset rule at the second traversing moment is confirmed; sequencing the single battery cells meeting the first preset rule at the second traversal time from high to low according to the voltage of the single battery cells, and recording that the voltage of the single battery cells of the first second preset number is too high once; counting all times to obtain the excessive times of the voltage of the single battery cell, sequencing the excessive times according to the order from large to small, and taking the single battery cells with the first preset number of the excessive times as first single battery cells; traversing the low-release period, and determining a second traversing moment; according to the first preset deviation parameter, the second preset deviation parameter, the voltage average value at the second traversing moment and the voltage standard deviation, the single battery cell meeting the second preset rule at the second traversing moment is confirmed; sequencing the single battery cells meeting the second preset rule at the second traversal time from low to high according to the voltage of the single battery cells, and recording that the voltage of the single battery cells of the second preset number is too low once before; counting all times to obtain the excessively low frequency of the voltage of the single battery cell, sequencing the excessively low frequency according to the order from large to small, and taking the first preset number of single battery cells with the excessively low frequency as second single battery cells; and identifying the single battery cells which are the first single battery cell and the second single battery cell at the same time as the single battery cells with abnormal capacity or internal resistance.
6. An electronic device comprising a processor, a memory and a computer program stored on the memory and capable of running on the processor, which when executed by the processor, implements the steps of the abnormal cell identification method of any one of claims 1 to 4.
7. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements the steps of the abnormal cell identification method according to any one of claims 1 to 4.
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