CN113311346A - Battery cell early warning method and device, cloud platform and storage medium - Google Patents
Battery cell early warning method and device, cloud platform and storage medium Download PDFInfo
- Publication number
- CN113311346A CN113311346A CN202110544387.7A CN202110544387A CN113311346A CN 113311346 A CN113311346 A CN 113311346A CN 202110544387 A CN202110544387 A CN 202110544387A CN 113311346 A CN113311346 A CN 113311346A
- Authority
- CN
- China
- Prior art keywords
- battery
- cell
- discharge rate
- self
- detected
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 64
- 230000002159 abnormal effect Effects 0.000 claims description 42
- 230000003068 static effect Effects 0.000 claims description 37
- 238000007599 discharging Methods 0.000 claims description 10
- 238000001514 detection method Methods 0.000 claims description 6
- 238000004590 computer program Methods 0.000 claims description 3
- 230000005611 electricity Effects 0.000 claims description 3
- 230000008569 process Effects 0.000 abstract description 16
- 238000011835 investigation Methods 0.000 abstract description 4
- 235000013547 stew Nutrition 0.000 description 15
- 230000008859 change Effects 0.000 description 9
- 239000000178 monomer Substances 0.000 description 9
- 238000010586 diagram Methods 0.000 description 5
- 239000000126 substance Substances 0.000 description 5
- 230000006870 function Effects 0.000 description 4
- 238000004088 simulation Methods 0.000 description 4
- 206010070245 Foreign body Diseases 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 238000003745 diagnosis Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000008707 rearrangement Effects 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- 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]
- G01R31/385—Arrangements for measuring battery or accumulator variables
-
- 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
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/10—Energy storage using batteries
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Secondary Cells (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The disclosure relates to a battery cell early warning method and device, a cloud platform and a storage medium. The method comprises the following steps: respectively acquiring standing self-discharge rates of each cell in a single test cell and a battery to be detected before and after a preset standing time, wherein the single test cell comprises a foreign matter carrying cell and a foreign matter non-carrying cell; and determining the early warning result of the battery cell in the battery to be detected based on the standing self-discharge rate of each battery cell in the battery to be detected and the standing self-discharge rate of the single test battery cell. Through the technical scheme, before the battery flows into the market for use, the battery core of the battery is subjected to early warning analysis based on the standard data so as to obtain an accurate early warning result, the battery is further subjected to after-sale investigation according to the early warning result, and the situation that the battery brings safety hidden danger in the use process due to the introduction of foreign matters is avoided.
Description
Technical Field
The disclosure relates to the technical field of battery diagnosis, and in particular relates to a battery cell early warning method and device, a cloud platform and a storage medium.
Background
In recent years, electric automobiles or electric bicycles typically rely on an on-board battery to power them. The electric vehicle is fast in breaking and easy to have potential safety hazards, and particularly the battery of the electric vehicle.
The on-vehicle battery of the electric vehicle may introduce minute foreign substances during the manufacturing process. Although the quality of the battery is checked before the battery is shipped and the battery qualified for the inspection is introduced into the market, the battery qualified for the inspection may still have minute foreign substances. If the electric vehicle uses a battery carrying foreign matters, the electric vehicle has great risk in the using process, and great potential safety hazards are brought to a driver and passengers.
Disclosure of Invention
In order to solve the technical problems or at least partially solve the technical problems, the disclosure provides a cell early warning method, a device, a cloud platform and a storage medium, so that early warning analysis is performed on a cell in a battery before the battery is used, and potential safety hazards in the use process of the battery are eliminated.
The disclosure provides a battery cell early warning method, which comprises the following steps:
respectively acquiring standing self-discharge rates of each cell in a single test cell and a battery to be detected before and after standing for a preset time, wherein the single test cell comprises a foreign matter carrying cell and a foreign matter non-carrying cell;
and determining an early warning result of the battery cell in the battery to be detected based on the standing self-discharge rate of each battery cell in the battery to be detected and the standing self-discharge rate of the single test battery cell.
Optionally, the standing self-discharge rate includes a first standing self-discharge rate before and after the preset time period after the battery cell is fully charged, and/or a second standing self-discharge rate before and after the preset time period after the battery cell is discharged under a specific working condition and stands.
Optionally, determining an early warning result of the electric core in the battery to be detected based on the standing self-discharge rate of each electric core in the battery to be detected and the standing self-discharge rate of the single test electric core, includes:
comparing the standing self-discharge rate of each battery cell in the battery to be detected with the standing self-discharge rates of the battery cells carrying foreign matters and the battery cells not carrying foreign matters respectively to obtain a comparison result of the standing self-discharge rates;
and determining an early warning result of the battery cell in the battery to be detected based on the comparison result of the standing self-discharge rate.
Optionally, determining an early warning result of the electric core in the battery to be detected based on the standing self-discharge rate of each electric core in the battery to be detected and the standing self-discharge rate of the single test electric core, includes:
determining risk grade intervals based on the standing self-discharge rates of the foreign matter carrying battery cell and the foreign matter not carrying battery cell, wherein each risk grade interval corresponds to a risk grade and prompt information;
determining a target risk grade interval where each battery cell of the battery to be detected is located, and determining a target risk grade and target prompt information corresponding to the target risk grade interval.
Optionally, the determining a target risk level interval in which each electric core of the battery to be detected is located includes:
and under the condition that the standing self-discharge rate comprises a first standing self-discharge rate and a second standing self-discharge rate, if a first risk grade interval determined based on the first standing self-discharge rate is not equal to a second risk grade interval determined based on the second standing self-discharge rate, taking a high-grade risk grade interval as a target risk grade interval where each battery cell is located.
Optionally, the determining a target risk level interval in which each electric core of the battery to be detected is located includes:
and under the condition that the standing self-discharge rate comprises a first standing self-discharge rate and a second standing self-discharge rate, if a first risk grade interval determined based on the first standing self-discharge rate is not equal to a second risk grade interval determined based on the second standing self-discharge rate, taking an interval average value of the first risk grade interval and the second risk grade interval as a target risk grade interval where each battery cell is located.
Optionally, the method further includes: further comprising:
and respectively acquiring the temperature rise values of the single test cell and each cell of the battery to be detected.
Optionally, determining an early warning result of the electric core in the battery to be detected based on the standing self-discharge rate of each electric core in the battery to be detected and the standing self-discharge rate of the single test electric core, includes:
comparing the standing self-discharge rate of each battery cell in the battery to be detected with the standing self-discharge rates of the battery cells carrying foreign matters and the battery cells not carrying foreign matters respectively to obtain a comparison result of the standing self-discharge rates;
comparing the temperature rise value of the single test cell with the temperature rise value of each cell of the battery to be detected to obtain a comparison result of the temperature rise values;
and determining an early warning result of the battery cell in the battery to be detected based on the comparison result of the standing self-discharge rate and the comparison result of the temperature rise value.
Optionally, the determining, based on the comparison result of the standing self-discharge rate and the comparison result of the temperature rise value, an early warning result of the electric core in the battery to be detected includes:
determining whether an abnormal cell exists in the battery to be detected based on the comparison result of the standing self-discharge rate;
and if the abnormal battery cell exists in the battery to be detected, determining the safety early warning grade of the abnormal battery cell in the battery to be detected and prompt information corresponding to the safety early warning grade based on the comparison result of the temperature rise value.
Optionally, the temperature rise value includes a first temperature rise value of the battery cell before and after full charging, and/or a second temperature rise value of the battery cell before and after discharging under a specific working condition.
Optionally, the working conditions of each battery cell in the battery to be detected and the single test battery cell are the same, and the working conditions include: and at least one of the standing time, the environment temperature, the discharging working condition and the detection times of the battery core.
The utility model provides a battery cell early warning device, the device includes:
the static self-discharge rate acquisition module is used for respectively acquiring static self-discharge rates of each cell in a single test cell and a battery to be detected before and after a preset time period of static placement, and the single test cell comprises a foreign matter carrying cell and a foreign matter non-carrying cell;
and the early warning module is used for determining an early warning result of the battery cell in the battery to be detected based on the standing self-discharge rate of each battery cell in the battery to be detected and the standing self-discharge rate of the single test battery cell.
An embodiment of the present invention further provides a cloud platform, where the cloud platform includes:
one or more processors;
a storage device for storing one or more programs,
when the one or more programs are executed by the one or more processors, the one or more processors implement the cell warning method provided by any embodiment of the present invention.
The embodiment of the invention also provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the battery cell early warning method provided by any embodiment of the invention is implemented.
Compared with the prior art, the technical scheme provided by the embodiment of the disclosure has the following advantages:
the technical scheme that this disclosure provided, acquire respectively that monomer test electric core and wait to detect each electric core in the battery and wait to detect the self discharge rate that stews around when presetting, monomer test electric core is including carrying foreign matter electric core and not carrying the foreign matter electric core, the self discharge rate that stews of carrying foreign matter electric core and not carrying the foreign matter electric core can regard as standard data, further based on monomer test electric core stew self discharge rate, carry the self discharge rate that stews of foreign matter electric core and not carry the self discharge rate that stews of foreign matter electric core, confirm to wait to detect the early warning result of electric core in the battery. Through the mode, before the battery flows into the market for use, the battery core of the battery is subjected to early warning analysis based on the standard data so as to obtain an accurate early warning result, the battery is further subjected to after-sale investigation according to the early warning result, and the situation that the battery brings safety hidden danger in the use process due to the introduction of foreign matters is avoided.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.
In order to more clearly illustrate the embodiments or technical solutions in the prior art of the present disclosure, the drawings used in the description of the embodiments or prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
Fig. 1 is a result schematic diagram of a battery cell early warning system provided in an embodiment of the present disclosure;
fig. 2 is a schematic flow chart of a battery cell early warning method according to an embodiment of the present disclosure;
fig. 3 is a schematic flow chart of a battery cell early warning method according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of a battery cell early warning device provided in the embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of a cloud platform according to an embodiment of the present invention.
Detailed Description
In order that the above objects, features and advantages of the present disclosure may be more clearly understood, aspects of the present disclosure will be further described below. It should be noted that the embodiments and features of the embodiments of the present disclosure may be combined with each other without conflict.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present disclosure, but the present disclosure may be practiced in other ways than those described herein; it is to be understood that the embodiments disclosed in the specification are only a few embodiments of the present disclosure, and not all embodiments.
At present, batteries of electric vehicles have quality detection before leaving factories, and qualified batteries are introduced into markets for use. In general, the criteria for battery detection include the voltage range of the battery, the open circuit voltage difference of the battery, the weight of the battery, the standing discharge time of the battery at a specific temperature, and the like. For example, the voltage of the battery of a single electric vehicle is more than 13V, the open-circuit voltage difference of the battery is not more than 0.05V, and after the battery is charged in an environment with the temperature of 25 +/-2 ℃, the static discharge time of 25W of power and the mass of the single battery are 4.3 KG.
However, the above quality detection method cannot detect the tiny foreign matters introduced into the battery core in the battery, and if the qualified battery carrying the foreign matters is detected and the battery carrying the foreign matters is installed on an electric vehicle for use, the electric vehicle has a great risk in the use process, and great potential safety hazards are brought to a driver and passengers.
In order to solve the above problem, the embodiments of the present disclosure provide a battery cell early warning method and apparatus, a cloud platform, and a storage medium. The battery early warning device can be suitable for early warning analysis of the battery cell before the battery is used in the market, and the battery is checked after sale according to the early warning result, so that the safety hidden danger of the battery in the use process due to introduction of foreign matters is avoided.
Fig. 1 shows a schematic diagram of a cell early warning method. As shown in fig. 1, the cell early warning system in the schematic diagram includes a cloud platform 1, a test platform 2 of a single test cell, and a control platform 3 of a device where a battery is located. The cloud platform 1, the test platform 2 and the control platform 3 are in communication connection with each other and perform information interaction, the test platform 2 and the control platform 3 can send data to the cloud platform 1 through a wireless network, and the wireless network can include but is not limited to communication modes such as 4G, 5G networks and WiFi.
The test platform 2 collects test data and environmental temperature of the single test battery cell, and the single test battery cell comprises a battery cell carrying foreign matters and a battery cell not carrying foreign matters. The test platform 2 can simulate the actual operation condition of the equipment where the battery is located. The actual operation conditions comprise: the charging node a, the node b which is set aside for a preset time after charging is completed, the working condition c of normal operation and discharging of the equipment and the node d which is set aside for a preset time after the equipment operates. The test platform 2 may preset a specific cycle number, for example, 100 cycles, and sequentially execute the nodes a, b, c, and d to simulate the actual operation condition of the device in which the battery is located under each cycle number, and acquire test data under each node. Optionally, the ambient temperature may be a normal driving environment of the electric vehicle, the ambient temperature may be-25 ℃ to 50 ℃, and each 10 ℃ is a temperature interval. The preset time period may be 5 hours, 8 hours, etc.
Optionally, the test data at the charging node a may include: the battery pack comprises a charging mode, charging time and a temperature change value in the charging process, wherein the charging mode can comprise a super quick charging mode, a common charging mode and the like, the charging time refers to the time required by a battery in which a single test battery cell is positioned from an initial state to a full charging state, and the temperature change value refers to a first temperature rise value of the single test battery cell in the charging process of the battery; the test data at the node b with the preset time length after the charging is completed and the standing time can include: the standing discharge time and the standing discharge power can be divided, the standing discharge rate is calculated, and the standing self-discharge power is used as a first standing self-discharge rate of the single test cell; the test data under the condition c of normal operation discharge of the equipment can comprise: discharging the battery of the single test battery cell under the actual working condition simulation condition for a preset time period to obtain a temperature change value, wherein the temperature change value refers to a second temperature rise value of the battery of the single test battery cell under the actual working condition simulation condition; the test data of the equipment at the node d with the preset standing time after running can include: and (3) standing discharge time and standing discharge power, dividing the standing discharge power and the standing discharge time, calculating a standing self-discharge rate, and taking the standing self-discharge power as a second standing self-discharge rate of the single test cell.
The device where the battery is located may include, but is not limited to, a mobile phone, a computer, an intelligent appliance, an electric vehicle, and the like. In the present disclosure, the technical solution of the present disclosure is explained in detail by taking an electric vehicle as an example of a device in which a battery is located. The Control platform 3 includes a Battery Management System (BMS) and an Electronic Control Unit (ECU). The battery management system is used for acquiring the State of Charge (SOC) of a battery on the electric vehicle at each time point and sending the acquired SOC to the electronic control unit, wherein the SOC is used for reflecting the residual capacity of the battery, and the value of the SOC is the ratio of the residual capacity to the capacity of the battery. The electronic control unit receives the state of charge and collects vehicle data of the electric vehicle in an actual operation environment, wherein the vehicle data comprises: the charging node a, the node b with preset standing time after charging is completed, the working condition c of normal operation discharging of the equipment and the operation data of the node d with preset standing time after the equipment operates. The control platform 3 can set the cycle number, the cycle number can be determined by dividing the total capacity throughput of the battery pack of the electric vehicle and the capacity throughput of each cycle number, and the cycle number of the control platform 3 is equal to that of the test platform 2.
Similar to the data collected by the test platform 2, the test data collected by the control platform 3 under the charging node a may include: the battery pack comprises a charging mode, charging time and a temperature change value in the charging process, wherein the charging mode can comprise a super quick charging mode, a common charging mode and the like, the charging time refers to the time required by a battery in which a single test battery cell is positioned from an initial state to a full charging state, and the temperature change value refers to a first temperature rise value of the single test battery cell in the charging process of the battery; the test data at the node b with the preset time length after the charging is completed and the standing time can include: the standing discharge time and the standing discharge power can be divided, the standing discharge rate is calculated, and the standing self-discharge power is used as a first standing self-discharge rate of the single test cell; the test data under the condition c of normal operation discharge of the equipment can comprise: discharging the battery of the single test battery cell under the actual working condition simulation condition for a preset time period to obtain a temperature change value, wherein the temperature change value refers to a second temperature rise value of the battery of the single test battery cell under the actual working condition simulation condition; the test data of the equipment at the node d with the preset standing time after running can include: and (3) standing discharge time and standing discharge power, dividing the standing discharge power and the standing discharge time, calculating a standing self-discharge rate, and taking the standing self-discharge power as a second standing self-discharge rate of the single test cell. The environment temperature in the actual operation environment may be a normal driving environment of the electric vehicle, the environment temperature may be-25 ℃ to 50 ℃, and one temperature interval is every 10 ℃. The preset time period may be 5 hours, 8 hours, etc.
Further, after the test platform 2 and the control platform 3 collect the data, the data are sent to the cloud platform 1, and the cloud platform 1 performs electric core early warning analysis based on the data.
In order to solve the problem that if the electric vehicle uses a battery carrying foreign matters, the electric vehicle has great risk in the using process and brings huge potential safety hazards to a driver and passengers. By adopting the battery core early warning system shown in fig. 1, the cloud platform respectively collects the standing self-discharge rate of each battery core in the single test battery core and the battery to be detected before and after the preset time period of standing, the single test battery core comprises a battery core carrying a foreign matter and a battery core not carrying the foreign matter, and the early warning result of each battery core in the battery to be detected is determined further based on the standing self-discharge rate of each battery core in the battery to be detected, the standing self-discharge rate of the battery core carrying the foreign matter and the standing self-discharge rate of the battery core not carrying the foreign matter.
Through the mode, the battery core of the battery can be subjected to early warning analysis before the battery flows into the market for use, so that the battery is further checked after sale based on the early warning result, and safety hidden dangers caused by introduction of foreign matters into the battery in the use process are avoided.
First, a specific explanation is given to the cell early warning method provided in the embodiment of the present disclosure.
Fig. 2 is a schematic flow chart of a cell early warning method. Referring to fig. 2, the method includes:
s110, standing self-discharge rates of the single test cell and each cell in the battery to be detected before and after a preset standing time are respectively obtained.
In the embodiments of the present disclosure, a single test cell refers to a single cell tested on a test platform. As described above, the test platform may simulate an actual operation condition of the battery in the electric vehicle, and acquire the standing self-discharge rates of the single test cells before and after the preset standing time, and the cloud platform acquires the standing self-discharge rates of the single test cells acquired by the test platform before and after the preset standing time.
In the embodiment of the present disclosure, the battery to be detected refers to a battery that is required to be used on an electric vehicle. Before the battery to be detected leaves a factory, the actual operation test is carried out on the battery cell of the battery to be detected through the control platform. As described above, the control platform may perform actual operation test on the electric vehicle, and acquire the standing self-discharge rates of the electric cores in the battery to be detected before and after the preset time period of standing, and the cloud platform receives the standing self-discharge rates of the electric cores in the battery to be detected before and after the preset time period of standing, which are acquired by the control platform.
In the embodiment of the present disclosure, the individual test cells include a foreign matter carrying cell and a foreign matter non-carrying cell. The foreign matter carrying cell refers to a single cell into which foreign matters with a conductive function are introduced. It can be understood that the larger the volume of foreign matter in the cell, the stronger the conductivity of the cell, and the greater the static self-discharge rate of the cell. In view of the above, carry the foreign matter volume in the foreign matter electricity core and can be for predetermineeing minimum volume, can confirm after the foreign matter volume analysis of carrying the foreign matter electricity core in a large amount of collections. The foreign matter volume in the foreign matter carrying electric core is set to be the preset minimum volume, the minimum volume can be used as the volume threshold value, so that the foreign matter carrying electric core with the volume of the foreign matter exceeding the minimum volume is screened out, and the phenomenon that the foreign matter carrying electric core with the large foreign matter volume flows into the market is avoided. A foreign-body-free cell refers to a standard cell in which no foreign bodies are introduced. From the above description, the static self-discharge rate of the foreign matter-carrying cell is greater than that of the cell without the foreign matter.
In the embodiment of the present disclosure, the standing self-discharge rate includes a first standing self-discharge rate before and after the preset time period after the battery cell is fully charged, and/or a second standing self-discharge rate before and after the preset time period after the battery cell is discharged under a specific working condition and stands. That is, the first standing self-discharge rate is the standing self-discharge rate at the node b of the preset time period of standing after the charging is completed. The second standing self-discharge rate is the standing self-discharge rate under the working condition c of normal operation discharge of the equipment. The preset time period may be any time period, such as 5 hours, 8 hours, and the like.
And S120, determining an early warning result of the battery cell in the battery to be detected based on the standing self-discharge rate of each battery cell in the battery to be detected and the standing self-discharge rate of the single test battery cell.
In the embodiment of the present disclosure, the early warning result of the battery cell may include whether an abnormal battery cell exists and prompt information of the abnormal battery cell; or, the early warning result of the battery cell may include: and the risk level of each battery core and prompt information corresponding to the risk level.
In an optional embodiment, the determining, based on the static self-discharge rate of each battery cell in the battery to be detected and the static self-discharge rate of the single test battery cell, an early warning result of the battery cell in the battery to be detected includes:
comparing the standing self-discharge rate of each battery cell in the battery to be detected with the standing self-discharge rates of the battery cells carrying foreign matters and the battery cells not carrying foreign matters respectively to obtain a comparison result of the standing self-discharge rates;
and determining an early warning result of the battery cell in the battery to be detected based on the comparison result of the standing self-discharge rate.
Specifically, if the standing self-discharge rate is the first standing self-discharge rate, comparing the first standing self-discharge rate of each battery cell in the battery to be detected with the first standing self-discharge rate of the battery cell not carrying the foreign matters; further, if the first standing self-discharge rate of each battery cell in the battery to be detected is smaller than the first standing self-discharge rate of the battery cell not carrying the foreign matter, determining that no abnormal battery cell exists in the battery to be detected; if the first standing self-discharge rate of a certain cell in the battery to be detected is greater than or equal to the first standing self-discharge rate of a cell not carrying foreign matters, determining that an abnormal cell exists in the battery to be detected, and determining prompt information corresponding to the abnormal cell, wherein the prompt information can include but is not limited to attention to prompt, short circuit prompt and the like of the abnormal cell.
It should be noted that, the manner of determining the early warning result of the battery cell in the battery to be detected based on the second self-discharge rate is the same as the manner described above, and reference may be made to the foregoing description specifically.
If the standing self-discharge rate comprises a first self-discharge rate and a second self-discharge rate, the method for determining the early warning result of the battery cell in the battery to be detected can comprise the following steps: comparing the first standing self-discharge rate and the second standing self-discharge rate of each battery cell in the battery to be detected with the first standing self-discharge rate and the second self-discharge rate of the battery cell not carrying foreign matters respectively; if the first standing self-discharge rate and the second standing self-discharge rate of each battery cell in the battery to be detected are both smaller than the first standing self-discharge rate of the battery cell not carrying the foreign matter, determining that no abnormal battery cell exists in the battery to be detected; if the first standing self-discharge rate or the second standing self-discharge rate of a certain cell in the battery to be detected is greater than or equal to the first standing self-discharge rate of a cell not carrying foreign matters, determining that an abnormal cell exists in the battery to be detected, and determining prompt information corresponding to the abnormal cell, wherein the prompt information can include but is not limited to attention to prompt, short circuit prompt and the like of the abnormal cell.
In another optional embodiment, the determining the early warning result of the electric core in the battery to be detected based on the standing self-discharge rate of each electric core in the battery to be detected and the standing self-discharge rate of the single test electric core includes:
determining risk grade intervals based on the standing self-discharge rates of the foreign matter carrying battery cell and the foreign matter not carrying battery cell, wherein each risk grade interval corresponds to a risk grade and prompt information;
determining a target risk grade interval where each battery cell of the battery to be detected is located, and determining a target risk grade and target prompt information corresponding to the target risk grade interval.
Optionally, six risk level intervals can be divided based on the first standing self-discharge rate or the second standing self-discharge rate of the foreign matter-carrying battery cell and the foreign matter-not-carrying battery cell, if the risk level interval in which each battery cell of the battery to be detected is located is the first interval, it is determined that the risk level corresponding to each battery cell is 0, and the prompt message indicates that each battery cell of the battery to be detected is normal; if the battery to be detected has the battery cell located in the second interval, determining that the risk level corresponding to the battery cell is level 1, and indicating information is the battery cell with extremely low risk; if the battery to be detected has the battery cell located in the third interval, determining that the risk level corresponding to the battery cell is level 2, and giving attention to the battery cell when the prompt message is the battery cell with slight risk; if the battery to be detected has the battery cell located in the fourth interval, determining that the risk level corresponding to the battery cell is 3, wherein the prompt information is the battery cell with a certain risk and focuses on the battery cell; if the battery to be detected has the battery cell located in the fifth interval, determining that the risk level corresponding to the battery cell is level 4, and indicating that the battery to be detected has a short circuit risk; and if the battery to be detected has the battery cell located in the sixth interval, determining that the risk grade corresponding to the battery cell is 5, and prompting that the battery to be detected has a short circuit and needs to be maintained.
Optionally, the target risk level interval may also be determined according to the first standing self-discharge rate and the second standing self-discharge rate. Determining a target risk grade interval in which each battery cell of the battery to be detected is located may include:
and under the condition that the standing self-discharge rate comprises a first standing self-discharge rate and a second standing self-discharge rate, if a first risk grade interval determined based on the first standing self-discharge rate is not equal to a second risk grade interval determined based on the second standing self-discharge rate, taking a high-grade risk grade interval as a target risk grade interval where each battery cell is located.
Referring to the risk level intervals divided in the above description, if the first risk level interval determined according to the first standing self-discharge rate is a second interval and the second risk level interval determined according to the second standing self-discharge rate is a third interval, the third interval is taken as a target risk level interval in which the battery cell is located.
Optionally, determining a target risk level interval in which each electric core of the battery to be detected is located may also include:
and under the condition that the standing self-discharge rate comprises a first standing self-discharge rate and a second standing self-discharge rate, if a first risk grade interval determined based on the first standing self-discharge rate is not equal to a second risk grade interval determined based on the second standing self-discharge rate, taking an interval average value of the first risk grade interval and the second risk grade interval as a target risk grade interval where each battery cell is located.
Referring to the risk level intervals divided in the above description, if the first risk level interval determined by the cell according to the first standing self-discharge rate is the second interval, the second risk level interval determined according to the second standing self-discharge rate is the fourth interval, the average value of the intervals of the first risk level interval and the second risk level interval is the third interval, and the third interval is taken as the target risk level interval where the cell is located.
The technical scheme that this disclosure provided, acquire respectively that monomer test electric core and wait to detect each electric core in the battery and wait to detect the self discharge rate that stews around when presetting, monomer test electric core is including carrying foreign matter electric core and not carrying the foreign matter electric core, the self discharge rate that stews of carrying foreign matter electric core and not carrying the foreign matter electric core can regard as standard data, further based on monomer test electric core stew self discharge rate, carry the self discharge rate that stews of foreign matter electric core and not carry the self discharge rate that stews of foreign matter electric core, confirm to wait to detect the early warning result of electric core in the battery. Through the mode, before the battery flows into the market for use, the battery core of the battery is subjected to early warning analysis based on the standard data so as to obtain an accurate early warning result, the battery is further subjected to after-sale investigation according to the early warning result, and the situation that the battery brings safety hidden danger in the use process due to the introduction of foreign matters is avoided.
Fig. 3 is another schematic flow chart of a cell warning method. Referring to fig. 3, the method includes:
s210, standing self-discharge rates of the single test cell and each cell in the battery to be detected before and after a preset standing time are respectively obtained.
In the embodiment of the present disclosure, the individual test cells include a foreign matter carrying cell and a foreign matter non-carrying cell.
And S220, respectively obtaining the temperature rise values of the single test cell and each cell of the battery to be detected.
In the embodiment of the present disclosure, the temperature increase value refers to a temperature change value of the battery cell in a certain time period. The temperature rise value may include a first temperature rise value of the battery cell before and after full charging, and/or a second temperature rise value of the battery cell before and after discharging under a specific working condition. That is, the first temperature-rising value is a temperature variation value at the charge node a, and the second temperature-rising value is a temperature variation value at the operating condition c where the device is discharged in normal operation.
And S230, comparing the standing self-discharge rate of each battery cell in the battery to be detected with the standing self-discharge rates of the battery cells carrying the foreign matters and the battery cells not carrying the foreign matters respectively to obtain a comparison result of the standing self-discharge rates.
In some embodiments of the present disclosure, in order to improve the cell early warning accuracy, the comparison result of the standing self-discharge rate may be determined more carefully. Accordingly, in the disclosed embodiments, the comparison of the standing self-discharge rate includes at least one of the following: the standing self-discharge rate of each battery cell in the battery to be detected is smaller than that of a battery cell not carrying foreign matters; the standing self-discharge rate of a certain cell in the battery to be detected is greater than or equal to the standing self-discharge rate of a cell not carrying foreign matters and less than the standing self-discharge rate of a cell carrying foreign matters; the standing self-discharge rate of a certain cell in the battery to be detected is greater than or equal to the standing self-discharge rate of the cell carrying foreign matters.
S240, comparing the temperature rise value of the cell of the single test with the temperature rise value of each cell of the battery to be detected to obtain a comparison result of the temperature rise values.
It can be understood that the electric conductivity of the electric core carrying the foreign matter is stronger than that of the electric core not carrying the foreign matter, and during the charging process in the electric core, the temperature rise value of the electric core carrying the foreign matter is larger than that of the electric core not carrying the foreign matter. Therefore, in some embodiments, the cell early warning analysis can be performed by only comparing the temperature rise value of each cell of the battery to be detected with the temperature rise value of the cell carrying the foreign matter, and combining the comparison result of the temperature rise values. In other embodiments, the temperature rise value of each battery cell of the battery to be detected may be compared with the temperature rise value of the battery cell carrying the foreign matter and the temperature rise value of the battery cell not carrying the foreign matter, respectively, to obtain a comparison result of the temperature rise values, so as to perform the battery cell early warning analysis by combining the comparison result.
In some embodiments of the present disclosure, the comparison of the temperature rise values may include at least one of: the temperature rise value of each electric core in the battery to be detected is less than or equal to that of the electric core carrying foreign matters; the temperature rise value of a certain cell in the battery to be detected is less than or equal to the standing self-discharge rate of the cell carrying foreign matters; the temperature rise value of a certain electric core in the battery to be detected is larger than that of the electric core carrying foreign matters.
And S250, determining an early warning result of the battery cell in the battery to be detected based on the comparison result of the standing self-discharge rate and the comparison result of the temperature rise value.
In the embodiment of the present disclosure, determining an early warning result of the electric core in the battery to be detected based on the comparison result of the standing self-discharge rate and the comparison result of the temperature rise value includes:
determining whether an abnormal cell exists in the battery to be detected based on the comparison result of the standing self-discharge rate;
and if the abnormal battery cell exists in the battery to be detected, determining the safety early warning grade of the abnormal battery cell in the battery to be detected and prompt information corresponding to the safety early warning grade based on the comparison result of the temperature rise value.
In some embodiments of the present disclosure, if the static self-discharge rate of a certain electric core in the battery to be detected is greater than or equal to the static self-discharge rate of an electric core not carrying a foreign substance, or if the static self-discharge rate of a certain electric core in the battery to be detected is greater than or equal to the static self-discharge rate of an electric core carrying a foreign substance, it is determined that an abnormal electric core exists in the battery to be detected. Further, if an abnormal battery cell exists in the battery to be detected, the safety early warning level of the abnormal battery cell in the battery to be detected and prompt information corresponding to the safety early warning level are determined based on the comparison result of the temperature rise value.
Specifically, if the standing self-discharge rate of a certain cell in the battery to be detected is greater than or equal to the standing self-discharge rate of a cell not carrying a foreign matter and less than the standing self-discharge rate of a cell carrying a foreign matter, determining that the cell is an abnormal cell, if the temperature rise value of the abnormal cell is less than or equal to the temperature rise value of the cell carrying a foreign matter, determining that the safety early warning level of the abnormal cell is level 2, and prompting information is that the cell with slight risk in the battery to be detected needs to pay attention to the abnormal cell; if the standing self-discharge rate of a certain cell in the battery to be detected is greater than or equal to the standing self-discharge rate of a cell not carrying foreign matters and smaller than the standing self-discharge rate of the cell carrying foreign matters, determining that the cell is an abnormal cell, if the temperature rise value of the abnormal cell is greater than the temperature rise value of the cell carrying foreign matters, determining that the safety early warning level of the abnormal cell is 3, and prompting information is that the cell with certain risk in the battery to be detected needs to focus on the abnormal cell; if the standing self-discharge rate of a certain cell in the battery to be detected is greater than or equal to the standing self-discharge rate of the cell carrying the foreign matter, determining that the cell is an abnormal cell, if the temperature rise value of the abnormal cell is less than or equal to the temperature rise value of the cell carrying the foreign matter, determining that the safety early warning level of the abnormal cell is 4, and indicating information is that the cell with certain risk exists in the battery to be detected and the battery to be detected has short circuit risk; if the standing self-discharge rate of a certain electric core in the battery to be detected is greater than or equal to the standing self-discharge rate of the electric core carrying the foreign matter, determining that the electric core is an abnormal electric core, if the temperature rise value of the electric core is greater than the temperature rise value of the electric core carrying the foreign matter, the safety early warning grade of the abnormal electric core is 5 grade, and prompting information indicates that the battery to be detected has a short circuit and needs to be maintained.
In some embodiments of the present disclosure, if the static self-discharge rate of each battery cell in the battery to be detected is less than the static self-discharge rate of the battery cell not carrying the foreign substance, it is determined that there is no abnormal battery cell in the battery to be detected.
Specifically, if the standing self-discharge rate of each cell in the battery to be detected is smaller than the standing self-discharge rate of a cell not carrying a foreign matter, it is determined that no abnormal cell exists in the battery to be detected, if the temperature rise value of each cell in the battery to be detected is smaller than or equal to the temperature rise value of the cell carrying the foreign matter, the safety early warning level of the battery to be detected is 0 level, and the prompt message indicates that the battery to be detected is normal; if the standing self-discharge rate of each battery cell in the battery to be detected is smaller than the standing self-discharge rate of the battery cell without the foreign matter, determining that no abnormal battery cell exists in the battery to be detected, if the temperature rise value of a certain battery cell in the battery to be detected is larger than the temperature rise value of the battery cell with the foreign matter, detecting the battery cell with extremely small risk in the battery to be detected, wherein the safety early warning grade of the battery to be detected is level 1, and the prompt message is that the risk of the battery to be detected is extremely small.
In the embodiment of the present disclosure, the comparison result of the temperature rise value may be a comparison result of the first temperature rise value, and correspondingly, the comparison result of the standing self-discharge rate may be a comparison result of the first standing self-discharge rate; alternatively, the comparison result of the temperature rise values may be a comparison result of the second temperature rise values, and correspondingly, the comparison result of the standing self-discharge rate may be a comparison result of the second standing self-discharge rate or a comparison result of the second temperature rise values.
In the embodiment of the present disclosure, the comparison result of the temperature-rising values may also include a comparison result of the first temperature-rising value and a comparison result of the second temperature-rising value, and accordingly, the comparison result of the standing self-discharge rate may be a comparison result of the first standing self-discharge rate and a comparison result of the second standing self-discharge rate. Accordingly, determining the safety early warning level of the abnormal battery cell in the battery to be detected can include: if a first safety early warning level determined based on the first standing self-discharge rate and the first temperature rise value is equal to a second safety early warning level determined based on the second standing self-discharge rate and the second temperature rise value, taking the first safety early warning level or the second safety early warning level as a target safety early warning level of each battery cell; if a first safety early warning level determined based on the first standing self-discharge rate and the first temperature rise value is different from a second safety early warning level determined based on the second standing self-discharge rate and the second temperature rise value, taking the high-level safety early warning level as a target safety early warning level of each battery cell; or taking the average grade of the first safety early warning grade and the second safety early warning grade as the target safety early warning grade of each battery cell.
In the embodiment of the disclosure, the early warning result of the battery cell in the battery to be detected is fed back to the client, so that the client displays the early warning result.
The client may include, but is not limited to, a mobile phone, a desktop computer, a tablet, a notebook, and the like.
According to the technical scheme provided by the embodiment of the disclosure, the early warning result of each battery cell in the battery to be tested is determined based on the standing self-discharge rate and the temperature rise value, so that the accuracy of determining the early warning result can be improved; the early warning result is fed back to the client, so that the early warning result can be displayed on the client, the battery cell is maintained and processed based on the early warning result, and potential safety hazards in the use process of the battery are eliminated.
The following is an embodiment of the battery cell early warning device provided in an embodiment of the present invention, and the device and the battery cell early warning method in each of the embodiments described above belong to the same inventive concept, and details that are not described in detail in the embodiment of the battery cell early warning device may refer to the embodiment of the battery cell early warning method described above.
As shown in fig. 4, the battery cell early warning device includes: the device comprises a standing self-discharge rate acquisition module 310 and an early warning module 320.
The standing self-discharge rate acquisition module 310 is configured to acquire standing self-discharge rates of individual test cells and cells in a battery to be detected before and after a preset standing time, where the individual test cells include a cell carrying a foreign matter and a cell not carrying a foreign matter;
the early warning module 320 is configured to determine an early warning result of the battery cell in the battery to be detected based on the standing self-discharge rate of each battery cell in the battery to be detected and the standing self-discharge rate of the single test battery cell.
Optionally, the standing self-discharge rate includes a first standing self-discharge rate before and after the preset time period after the battery cell is fully charged, and/or a second standing self-discharge rate before and after the preset time period after the battery cell is discharged under a specific working condition and stands.
Optionally, the early warning module 320 is specifically configured to compare the standing self-discharge rate of each battery cell in the battery to be detected with the standing self-discharge rates of the battery cells carrying the foreign matters and the battery cells not carrying the foreign matters, respectively, to obtain a comparison result of the standing self-discharge rates;
and determining an early warning result of the battery cell in the battery to be detected based on the comparison result of the standing self-discharge rate.
Optionally, the early warning module 320 is specifically configured to determine risk level intervals based on the standing self-discharge rates of the foreign matter-carrying battery cell and the foreign matter-not-carrying battery cell, where each risk level interval corresponds to a risk level and prompt information;
determining a target risk grade interval where each battery cell of the battery to be detected is located, and determining a target risk grade and target prompt information corresponding to the target risk grade interval.
Optionally, the early warning module 320 is specifically configured to, when the static self-discharge rate includes a first static self-discharge rate and a second static self-discharge rate, if a first risk level interval determined based on the first static self-discharge rate is not equal to a second risk level interval determined based on the second static self-discharge rate, use a high-level risk level interval as a target risk level interval where each cell is located.
Optionally, the early warning module 320 is specifically configured to, when the static self-discharge rate includes a first static self-discharge rate and a second static self-discharge rate, if a first risk level interval determined based on the first static self-discharge rate is not equal to a second risk level interval determined based on the second static self-discharge rate, take an interval average value of the first risk level interval and the second risk level interval as a target risk level interval in which each battery cell is located.
Optionally, the apparatus further comprises: a temperature rise value acquisition module; the temperature rise value acquisition module is used for respectively acquiring the temperature rise values of the single test cell and each cell of the battery to be detected.
Optionally, the early warning module 320 is specifically configured to compare the standing self-discharge rate of each battery cell in the battery to be detected with the standing self-discharge rates of the battery cells carrying the foreign matters and the battery cells not carrying the foreign matters, respectively, to obtain a comparison result of the standing self-discharge rates;
comparing the temperature rise value of the single test cell with the temperature rise value of each cell of the battery to be detected to obtain a comparison result of the temperature rise values;
and determining an early warning result of the battery cell in the battery to be detected based on the comparison result of the standing self-discharge rate and the comparison result of the temperature rise value.
Optionally, the early warning module 320 is specifically configured to determine whether an abnormal electrical core exists in the battery to be detected based on the comparison result of the standing self-discharge rate;
and if the abnormal battery cell exists in the battery to be detected, determining the safety early warning grade of the abnormal battery cell in the battery to be detected and prompt information corresponding to the safety early warning grade based on the comparison result of the temperature rise value.
Optionally, the temperature rise value includes a first temperature rise value of the battery cell before and after full charging, and/or a second temperature rise value of the battery cell before and after discharging under a specific working condition.
Optionally, the working conditions of each battery cell in the battery to be detected and the single test battery cell are the same, and the working conditions include: and at least one of the standing time, the environment temperature, the discharging working condition and the detection times of the battery core.
Optionally, the apparatus further comprises: an early warning result sending module; the early warning result sending module is used for feeding back the early warning result of the battery cell in the battery to be detected to the client side so as to enable the client side to display the early warning result.
The technical scheme that this disclosure provided, acquire respectively that monomer test electric core and wait to detect each electric core in the battery and wait to detect the self discharge rate that stews around when presetting, monomer test electric core is including carrying foreign matter electric core and not carrying the foreign matter electric core, the self discharge rate that stews of carrying foreign matter electric core and not carrying the foreign matter electric core can regard as standard data, further based on monomer test electric core stew self discharge rate, carry the self discharge rate that stews of foreign matter electric core and not carry the self discharge rate that stews of foreign matter electric core, confirm to wait to detect the early warning result of electric core in the battery. Through the mode, before the battery flows into the market for use, the battery core of the battery is subjected to early warning analysis based on the standard data so as to obtain an accurate early warning result, the battery is further subjected to after-sale investigation according to the early warning result, and the situation that the battery brings safety hidden danger in the use process due to the introduction of foreign matters is avoided.
The following is an embodiment of the cloud platform provided in the embodiments of the present invention, the cloud platform and the electric core early warning method in the embodiments described above belong to the same inventive concept, and details that are not described in detail in the embodiments of the cloud platform may refer to the embodiment of the electric core early warning method.
Referring to fig. 5, the present embodiment provides a cloud platform 400, which includes: one or more processors 420; the storage device 410 is configured to store one or more programs, and when the one or more programs are executed by the one or more processors 420, the one or more processors 420 implement the cell warning method provided in the embodiment of the present invention, including:
respectively acquiring standing self-discharge rates of each cell in a single test cell and a battery to be detected before and after standing for a preset time, wherein the single test cell comprises a foreign matter carrying cell and a foreign matter non-carrying cell;
and determining an early warning result of the battery cell in the battery to be detected based on the standing self-discharge rate of each battery cell in the battery to be detected and the standing self-discharge rate of the single test battery cell.
Of course, those skilled in the art can understand that the processor 420 may also implement the technical scheme of the cell early warning method provided in any embodiment of the present invention.
The cloud platform 400 shown in fig. 5 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.
As shown in fig. 5, the cloud platform 400 includes a processor 420, a storage device 410, an input device 430, and an output device 440; the number of the processors 420 in the cloud platform may be one or more, and one processor 420 is taken as an example in fig. 5; the processor 420, the storage device 410, the input device 430, and the output device 440 in the cloud platform may be connected by a bus or other means, and fig. 5 illustrates an example of a connection by a bus.
The storage device 410 is a computer-readable storage medium, and can be used to store software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the cell early warning method in the embodiment of the present invention (for example, the static self-discharge rate acquisition module 310 and the early warning module 320 in the cell early warning device).
The storage device 410 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. Further, the storage 410 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, storage 410 may further include memory located remotely from processor 420, which may be connected to the cloud platform over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 430 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the cloud platform, and may include at least one of a mouse, a keyboard, and a touch screen, for example. Output device 440 may include a display cloud platform such as a display screen.
The following is an embodiment of a computer-readable storage medium provided in an embodiment of the present invention, where the computer-readable storage medium and the battery cell early warning method in the foregoing embodiments belong to the same inventive concept, and details that are not described in detail in the embodiment of the computer-readable storage medium may refer to the embodiment of the battery cell early warning method.
The present embodiments provide a storage medium containing computer-executable instructions, which when executed by a computer processor, are configured to perform a cell alert method, the method including:
respectively acquiring standing self-discharge rates of each cell in a single test cell and a battery to be detected before and after standing for a preset time, wherein the single test cell comprises a foreign matter carrying cell and a foreign matter non-carrying cell;
and determining an early warning result of the battery cell in the battery to be detected based on the standing self-discharge rate of each battery cell in the battery to be detected and the standing self-discharge rate of the single test battery cell.
Of course, the storage medium including the computer-executable instructions provided in the embodiments of the present invention is not limited to the above-described method operations, and may also perform related operations in the cell early warning method provided in any embodiment of the present invention.
From the above description of the embodiments, it is obvious for those skilled in the art that the present invention can be implemented by software and necessary general hardware, and certainly, can also be implemented by hardware, but the former is a better embodiment in many cases. Based on such understanding, the technical solution of the present invention or portions thereof that contribute to the prior art may be embodied in the form of a software product, where the computer software product may be stored in a computer-readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a FLASH Memory (FLASH), a hard disk, or an optical disk of a computer, and includes several instructions to enable a computer cloud platform (which may be a personal computer, a server, or a network cloud platform, etc.) to execute the cell warning method provided in each embodiment of the present invention.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (15)
1. A battery cell early warning method is characterized by comprising the following steps:
respectively acquiring standing self-discharge rates of each cell in a single test cell and a battery to be detected before and after standing for a preset time, wherein the single test cell comprises a foreign matter carrying cell and a foreign matter non-carrying cell;
and determining an early warning result of the battery cell in the battery to be detected based on the standing self-discharge rate of each battery cell in the battery to be detected and the standing self-discharge rate of the single test battery cell.
2. The method of claim 1, wherein the static self-discharge rate comprises a first static self-discharge rate after the cell is fully charged and before and after the cell is left to stand for the preset time period, and/or a second static self-discharge rate after the cell is discharged under a specific working condition and before and after the cell is left to stand for the preset time period.
3. The method according to claim 1 or 2, wherein the determining the early warning result of the cell in the battery to be detected based on the static self-discharge rate of each cell in the battery to be detected and the static self-discharge rate of the single test cell comprises:
comparing the standing self-discharge rate of each battery cell in the battery to be detected with the standing self-discharge rates of the battery cells carrying foreign matters and the battery cells not carrying foreign matters respectively to obtain a comparison result of the standing self-discharge rates;
and determining an early warning result of the battery cell in the battery to be detected based on the comparison result of the standing self-discharge rate.
4. The method of claim 2, wherein determining the early warning result of the cell in the battery to be detected based on the static self-discharge rate of each cell in the battery to be detected and the static self-discharge rate of the single test cell comprises:
determining risk grade intervals based on the standing self-discharge rates of the foreign matter carrying battery cell and the foreign matter not carrying battery cell, wherein each risk grade interval corresponds to a risk grade and prompt information;
determining a target risk grade interval where each battery cell of the battery to be detected is located, and determining a target risk grade and target prompt information corresponding to the target risk grade interval.
5. The method of claim 4, wherein the determining the target risk level interval in which each cell of the battery to be detected is located comprises:
and under the condition that the standing self-discharge rate comprises a first standing self-discharge rate and a second standing self-discharge rate, if a first risk grade interval determined based on the first standing self-discharge rate is not equal to a second risk grade interval determined based on the second standing self-discharge rate, taking a high-grade risk grade interval as a target risk grade interval where each battery cell is located.
6. The method of claim 4, wherein the determining the target risk level interval in which each cell of the battery to be detected is located comprises:
and under the condition that the standing self-discharge rate comprises a first standing self-discharge rate and a second standing self-discharge rate, if a first risk grade interval determined based on the first standing self-discharge rate is not equal to a second risk grade interval determined based on the second standing self-discharge rate, taking an interval average value of the first risk grade interval and the second risk grade interval as a target risk grade interval where each battery cell is located.
7. The method of claim 1, further comprising:
and respectively acquiring the temperature rise values of the single test cell and each cell of the battery to be detected.
8. The method of claim 7, wherein determining the early warning result of the cell in the battery to be detected based on the static self-discharge rate of each cell in the battery to be detected and the static self-discharge rate of the single test cell comprises:
comparing the standing self-discharge rate of each battery cell in the battery to be detected with the standing self-discharge rates of the battery cells carrying foreign matters and the battery cells not carrying foreign matters respectively to obtain a comparison result of the standing self-discharge rates;
comparing the temperature rise value of the single test cell with the temperature rise value of each cell of the battery to be detected to obtain a comparison result of the temperature rise values;
and determining an early warning result of the battery cell in the battery to be detected based on the comparison result of the standing self-discharge rate and the comparison result of the temperature rise value.
9. The method of claim 8, wherein the determining the early warning result of the battery cell in the battery to be detected based on the comparison result of the standing self-discharge rate and the comparison result of the temperature rise value comprises:
determining whether an abnormal cell exists in the battery to be detected based on the comparison result of the standing self-discharge rate;
and if the abnormal battery cell exists in the battery to be detected, determining the safety early warning grade of the abnormal battery cell in the battery to be detected and prompt information corresponding to the safety early warning grade based on the comparison result of the temperature rise value.
10. The method of claim 7, wherein the temperature rise value comprises a first temperature rise value of the cell before and after the cell is fully charged, and/or a second temperature rise value of the cell before and after the cell is discharged under a specific condition.
11. The method of claim 1, wherein the operating conditions of each cell in the battery to be tested and the cell in the single test cell are the same, and the operating conditions comprise: and at least one of the standing time, the environment temperature, the discharging working condition and the detection times of the battery core.
12. The method of any one of claims 1 to 11, further comprising:
and feeding back the early warning result of the battery cell in the battery to be detected to a client so as to enable the client to display the early warning result.
13. The utility model provides a electricity core early warning device which characterized in that includes:
the static self-discharge rate acquisition module is used for respectively acquiring static self-discharge rates of each cell in the single test cell and the cell to be detected before and after a preset time period of static placement, and the single test cell comprises a foreign matter carrying cell and a foreign matter non-carrying cell;
and the early warning module is used for determining an early warning result of the battery cell in the battery to be detected based on the standing self-discharge rate of each battery cell in the battery to be detected and the standing self-discharge rate of the single test battery cell.
14. A cloud platform, comprising:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the cell alert method of any of claims 1-12.
15. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the cell warning method according to any one of claims 1 to 12.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110544387.7A CN113311346B (en) | 2021-05-19 | 2021-05-19 | Battery cell early warning method and device, cloud platform and storage medium |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110544387.7A CN113311346B (en) | 2021-05-19 | 2021-05-19 | Battery cell early warning method and device, cloud platform and storage medium |
Publications (2)
Publication Number | Publication Date |
---|---|
CN113311346A true CN113311346A (en) | 2021-08-27 |
CN113311346B CN113311346B (en) | 2024-02-06 |
Family
ID=77373582
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202110544387.7A Active CN113311346B (en) | 2021-05-19 | 2021-05-19 | Battery cell early warning method and device, cloud platform and storage medium |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN113311346B (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114148216A (en) * | 2021-12-31 | 2022-03-08 | 中国第一汽车股份有限公司 | Battery self-discharge rate abnormality detection method, system, device and storage medium |
CN115219903A (en) * | 2022-03-11 | 2022-10-21 | 中国第一汽车股份有限公司 | Battery self-discharge rate abnormity judgment method and device based on Internet of vehicles data analysis |
Citations (18)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2013185861A (en) * | 2012-03-06 | 2013-09-19 | Hioki Ee Corp | Self-discharge inspection device of storage battery, and self-discharge inspection method for storage battery |
JP2014216128A (en) * | 2013-04-24 | 2014-11-17 | トヨタ自動車株式会社 | Inspection method for battery and manufacturing method for battery |
CN105291854A (en) * | 2015-10-10 | 2016-02-03 | 北京车和家信息技术有限责任公司 | System and method for recovery and utilization of kinetic energy of electric vehicle |
JP2016029616A (en) * | 2014-07-25 | 2016-03-03 | トヨタ自動車株式会社 | Secondary battery inspection method |
CN106908727A (en) * | 2015-12-22 | 2017-06-30 | 郑州比克电池有限公司 | The method for precisely detecting lithium ion battery self discharge |
CN107256987A (en) * | 2017-06-06 | 2017-10-17 | 江西优特汽车技术有限公司 | A kind of electrokinetic cell micro-short circuit detection method |
CN108061860A (en) * | 2017-11-24 | 2018-05-22 | 上海华普汽车有限公司 | A kind of self-discharge of battery detection method and lithium battery method for sorting |
CN108160531A (en) * | 2018-03-15 | 2018-06-15 | 惠州亿纬锂能股份有限公司 | A kind of self-discharge of battery method for separating |
CN108393279A (en) * | 2018-02-02 | 2018-08-14 | 合肥国轩高科动力能源有限公司 | Lithium ion battery self-discharge screening method |
CN207817107U (en) * | 2017-12-25 | 2018-09-04 | 桑德集团有限公司 | A kind of short circuit detector of battery core |
JP2019091622A (en) * | 2017-11-15 | 2019-06-13 | トヨタ自動車株式会社 | Self-discharge inspection method for power storage device |
CN210159990U (en) * | 2019-03-06 | 2020-03-20 | 合肥国轩高科动力能源有限公司 | Lithium ion battery self-discharge screening device |
CN111257764A (en) * | 2020-02-24 | 2020-06-09 | 上海蔚来汽车有限公司 | Method, system and device for monitoring battery short circuit |
CN111965545A (en) * | 2020-07-31 | 2020-11-20 | 蜂巢能源科技有限公司 | Lithium battery self-discharge detection method, device and system |
CN112379283A (en) * | 2020-10-22 | 2021-02-19 | 合肥国轩高科动力能源有限公司 | Self-discharge screening method for power battery |
CN112462277A (en) * | 2020-11-13 | 2021-03-09 | 珠海冠宇电池股份有限公司 | Method for detecting self-discharge performance of lithium ion battery |
CN112731168A (en) * | 2020-12-18 | 2021-04-30 | 合肥国轩高科动力能源有限公司 | Method for detecting poor welding of lithium iron phosphate battery tab |
CN112763915A (en) * | 2020-12-21 | 2021-05-07 | 蜂巢能源科技有限公司 | Lithium ion battery self-discharge detection method and detection device |
-
2021
- 2021-05-19 CN CN202110544387.7A patent/CN113311346B/en active Active
Patent Citations (18)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2013185861A (en) * | 2012-03-06 | 2013-09-19 | Hioki Ee Corp | Self-discharge inspection device of storage battery, and self-discharge inspection method for storage battery |
JP2014216128A (en) * | 2013-04-24 | 2014-11-17 | トヨタ自動車株式会社 | Inspection method for battery and manufacturing method for battery |
JP2016029616A (en) * | 2014-07-25 | 2016-03-03 | トヨタ自動車株式会社 | Secondary battery inspection method |
CN105291854A (en) * | 2015-10-10 | 2016-02-03 | 北京车和家信息技术有限责任公司 | System and method for recovery and utilization of kinetic energy of electric vehicle |
CN106908727A (en) * | 2015-12-22 | 2017-06-30 | 郑州比克电池有限公司 | The method for precisely detecting lithium ion battery self discharge |
CN107256987A (en) * | 2017-06-06 | 2017-10-17 | 江西优特汽车技术有限公司 | A kind of electrokinetic cell micro-short circuit detection method |
JP2019091622A (en) * | 2017-11-15 | 2019-06-13 | トヨタ自動車株式会社 | Self-discharge inspection method for power storage device |
CN108061860A (en) * | 2017-11-24 | 2018-05-22 | 上海华普汽车有限公司 | A kind of self-discharge of battery detection method and lithium battery method for sorting |
CN207817107U (en) * | 2017-12-25 | 2018-09-04 | 桑德集团有限公司 | A kind of short circuit detector of battery core |
CN108393279A (en) * | 2018-02-02 | 2018-08-14 | 合肥国轩高科动力能源有限公司 | Lithium ion battery self-discharge screening method |
CN108160531A (en) * | 2018-03-15 | 2018-06-15 | 惠州亿纬锂能股份有限公司 | A kind of self-discharge of battery method for separating |
CN210159990U (en) * | 2019-03-06 | 2020-03-20 | 合肥国轩高科动力能源有限公司 | Lithium ion battery self-discharge screening device |
CN111257764A (en) * | 2020-02-24 | 2020-06-09 | 上海蔚来汽车有限公司 | Method, system and device for monitoring battery short circuit |
CN111965545A (en) * | 2020-07-31 | 2020-11-20 | 蜂巢能源科技有限公司 | Lithium battery self-discharge detection method, device and system |
CN112379283A (en) * | 2020-10-22 | 2021-02-19 | 合肥国轩高科动力能源有限公司 | Self-discharge screening method for power battery |
CN112462277A (en) * | 2020-11-13 | 2021-03-09 | 珠海冠宇电池股份有限公司 | Method for detecting self-discharge performance of lithium ion battery |
CN112731168A (en) * | 2020-12-18 | 2021-04-30 | 合肥国轩高科动力能源有限公司 | Method for detecting poor welding of lithium iron phosphate battery tab |
CN112763915A (en) * | 2020-12-21 | 2021-05-07 | 蜂巢能源科技有限公司 | Lithium ion battery self-discharge detection method and detection device |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114148216A (en) * | 2021-12-31 | 2022-03-08 | 中国第一汽车股份有限公司 | Battery self-discharge rate abnormality detection method, system, device and storage medium |
CN114148216B (en) * | 2021-12-31 | 2023-11-28 | 中国第一汽车股份有限公司 | Method, system, equipment and storage medium for detecting battery self-discharge rate abnormality |
CN115219903A (en) * | 2022-03-11 | 2022-10-21 | 中国第一汽车股份有限公司 | Battery self-discharge rate abnormity judgment method and device based on Internet of vehicles data analysis |
Also Published As
Publication number | Publication date |
---|---|
CN113311346B (en) | 2024-02-06 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Pan et al. | Internal short circuit detection for lithium-ion battery pack with parallel-series hybrid connections | |
CN112433169B (en) | Cloud power battery health degree evaluation system and method | |
CN110837050B (en) | Battery pack differential pressure fault judgment method and device and storage medium | |
CN112818602B (en) | Battery digital twin control method and device based on big data analysis | |
EP2963433A1 (en) | Method and apparatus for estimating state of battery | |
CN108287312B (en) | Sorting method, system and device for retired batteries | |
Chang et al. | A novel fast capacity estimation method based on current curves of parallel-connected cells for retired lithium-ion batteries in second-use applications | |
GB2406656A (en) | Battery tester with user input of battery information | |
CN113138340A (en) | Method for establishing battery equivalent circuit model and method and device for estimating state of health | |
CN113311346B (en) | Battery cell early warning method and device, cloud platform and storage medium | |
US20230347785A1 (en) | Consistency evaluation method for vehicle battery cell, device, equipment and storage medium | |
Huang et al. | State of health estimation of lithium-ion batteries based on the regional frequency | |
CN110949175B (en) | Battery service life control method for electric automobile | |
CN113391229B (en) | Performance evaluation method, equipment and system for retired power battery | |
CN110579716A (en) | Battery detection method and device | |
CN113093027B (en) | Battery SOC calibration method, device, system, medium and program product | |
CN113189495A (en) | Method and device for predicting health state of battery and electronic equipment | |
JP7515956B2 (en) | Battery diagnostic device and method | |
CN112098875A (en) | Lithium ion battery lithium analysis detection method | |
CN107634277A (en) | A kind of automobile high in the clouds battery management system based on wireless telecommunications battery core | |
CN113687234A (en) | Battery abnormality recognition method, apparatus, device, medium, and program product | |
CN115267552A (en) | Vehicle battery health state evaluation method, device, equipment and storage medium | |
CN114137415B (en) | Method and device for detecting heating value of battery pack, vehicle and storage medium | |
CN114200323A (en) | Battery short-circuit fault early warning information generation method and device, equipment and medium | |
CN112748348B (en) | Battery low-temperature performance distribution level detection method and system and storage medium |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |