CN117007981A - Method, device, equipment and medium for determining thermal runaway of lithium ion storage battery - Google Patents
Method, device, equipment and medium for determining thermal runaway of lithium ion storage battery Download PDFInfo
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- CN117007981A CN117007981A CN202311008550.3A CN202311008550A CN117007981A CN 117007981 A CN117007981 A CN 117007981A CN 202311008550 A CN202311008550 A CN 202311008550A CN 117007981 A CN117007981 A CN 117007981A
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- HBBGRARXTFLTSG-UHFFFAOYSA-N Lithium ion Chemical compound [Li+] HBBGRARXTFLTSG-UHFFFAOYSA-N 0.000 title claims abstract description 119
- 229910001416 lithium ion Inorganic materials 0.000 title claims abstract description 119
- 238000000034 method Methods 0.000 title claims abstract description 49
- 238000001514 detection method Methods 0.000 claims abstract description 102
- 238000011156 evaluation Methods 0.000 claims abstract description 16
- 230000008859 change Effects 0.000 claims description 58
- 238000005070 sampling Methods 0.000 claims description 53
- 238000004590 computer program Methods 0.000 claims description 16
- 238000004891 communication Methods 0.000 claims description 10
- 239000000446 fuel Substances 0.000 abstract description 26
- 238000012544 monitoring process Methods 0.000 abstract description 10
- 230000002035 prolonged effect Effects 0.000 abstract description 4
- 230000002159 abnormal effect Effects 0.000 description 6
- 238000012545 processing Methods 0.000 description 6
- 238000010586 diagram Methods 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 239000002253 acid Substances 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000013459 approach Methods 0.000 description 1
- 238000003491 array Methods 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 239000011521 glass Substances 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
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Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/378—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC] specially adapted for the type of battery or accumulator
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. SoC
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/396—Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery
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- 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
Abstract
The invention discloses a method, a device, equipment and a medium for determining thermal runaway of a lithium ion storage battery. The method comprises the following steps: acquiring detection data of a lithium ion storage battery; wherein the detection data comprises at least one of wire breakage detection data, temperature data and voltage data; and determining a thermal runaway evaluation result of the lithium ion storage battery according to the detection data and the thermal runaway condition acquired in advance. According to the technical scheme, the problem of thermal runaway risk monitoring of the lithium ion storage battery in the fuel automobile is solved, the reliability of thermal runaway monitoring can be improved while the accuracy of thermal runaway judgment of the lithium ion storage battery is ensured, the driving safety of the fuel automobile is improved, and the service life of the lithium ion storage battery is prolonged.
Description
Technical Field
The invention relates to the technical field of batteries, in particular to a method, a device, equipment and a medium for determining thermal runaway of a lithium ion storage battery.
Background
Because of the characteristics of high capacity density, portability, long service life, no memory effect, stable voltage, environmental protection and the like of lithium ion batteries, more and more fuel automobiles begin to use lithium ion batteries as power supply batteries.
However, since lithium ion batteries are prone to thermal runaway due to problems such as overcharging and overdischarging, it is necessary to provide a battery management system for a fuel automobile to monitor the risk of thermal runaway of the lithium ion batteries. How to judge the thermal runaway of a lithium ion storage battery in a fuel automobile is a problem to be solved.
Disclosure of Invention
The invention provides a method, a device, equipment and a medium for determining thermal runaway of a lithium ion storage battery, which are used for solving the problem of thermal runaway risk monitoring of the lithium ion storage battery in a fuel automobile, and can improve the reliability of thermal runaway monitoring while ensuring the accuracy of thermal runaway judgment of the lithium ion storage battery, thereby being beneficial to improving the driving safety of the fuel automobile and prolonging the service life of the lithium ion storage battery.
In a first aspect of the present invention, there is provided a method for determining thermal runaway of a lithium ion battery, the method comprising:
acquiring detection data of a lithium ion storage battery; wherein the detection data comprises at least one of wire breakage detection data, temperature data and voltage data;
and determining a thermal runaway evaluation result of the lithium ion storage battery according to the detection data and the thermal runaway condition acquired in advance.
In a second aspect of the present invention, there is provided a lithium ion secondary battery thermal runaway determining apparatus comprising:
the detection data acquisition module is used for acquiring detection data of the lithium ion storage battery; wherein the detection data comprises at least one of wire breakage detection data, temperature data and voltage data;
and the evaluation result determining module is used for determining the thermal runaway evaluation result of the lithium ion storage battery according to the detection data and the thermal runaway condition acquired in advance.
In a third aspect of the present invention, an automobile is provided, the automobile comprising a lithium ion storage battery and a battery management system, the lithium ion storage battery being in communication connection with the battery management system; the battery management system can execute the lithium ion storage battery thermal runaway determination method according to any embodiment of the invention.
In a fourth aspect of the present invention, there is provided an electronic apparatus including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the lithium ion battery thermal runaway determination method of any one of the embodiments of the invention.
In a fifth aspect of the present invention, there is provided a computer readable storage medium storing computer instructions for causing a processor to implement the lithium ion battery thermal runaway determination method according to any one of the embodiments of the present invention when executed.
According to the technical scheme, the detection data of the lithium ion storage battery is obtained through the battery management system configured in the fuel automobile, and the thermal runaway evaluation result of the lithium ion storage battery is determined according to the detection data and the thermal runaway condition obtained in advance. According to the technical scheme, the problem of thermal runaway risk monitoring of the lithium ion storage battery in the fuel automobile is solved, the reliability of thermal runaway monitoring can be improved while the accuracy of thermal runaway judgment of the lithium ion storage battery is ensured, the driving safety of the fuel automobile is improved, and the service life of the lithium ion storage battery is prolonged.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a method for determining thermal runaway of a lithium ion battery according to a first embodiment of the present application;
fig. 2 is a flowchart of a method for determining thermal runaway of a lithium ion battery according to a second embodiment of the present application;
fig. 3 is a schematic structural view of a thermal runaway determining device for a lithium ion secondary battery according to a third embodiment of the present application;
fig. 4 is a schematic structural view of an automobile according to a fourth embodiment of the present application;
fig. 5 is a schematic structural view of an electronic device implementing a thermal runaway determination method of a lithium ion secondary battery according to an embodiment of the present application.
Detailed Description
In order that those skilled in the art will better understand the present application, a technical solution in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, shall fall within the scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the application described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus. The technical scheme of the application obtains, stores, uses, processes and the like the data, which all meet the relevant regulations of national laws and regulations.
Example 1
Fig. 1 is a flowchart of a method for determining thermal runaway of a lithium ion battery according to an embodiment of the present invention, where the method may be implemented by a device for determining thermal runaway of a lithium ion battery, and the device may be implemented in hardware and/or software, and the device may be configured in an electronic device. As shown in fig. 1, the method includes:
s110, acquiring detection data of a lithium ion storage battery; wherein the detection data includes at least one of disconnection detection data, temperature data, and voltage data.
At present, the lithium ion storage battery is mainly applied to a power battery of an electric automobile, the fuel automobile is generally provided with a lead-acid storage battery, and because the lead-acid storage battery only needs to meet the requirement of short-time high-current output and does not need to stably output electric energy for a long time in the electric scene of the fuel automobile, the fuel automobile is generally not provided with a battery management system for managing the lead-acid storage battery.
In this scheme, the lithium ion battery can be adopted to the power supply battery of fuel car to when improving power stability, alleviate fuel car load, improve energy utilization. In order to ensure the working reliability of the lithium ion storage battery and improve the driving safety of the fuel automobile, the fuel automobile can be provided with a battery management system to acquire the working state of the lithium ion storage battery, and the risk detection and the state regulation of the lithium ion storage battery are carried out.
It will be appreciated that the battery management system may include detection devices such as temperature, pressure, gas concentration, voltage, and current, for acquiring detection data of each detection point in the lithium ion battery, so as to determine, according to the detection data, a risk of the lithium ion battery, such as a thermal runaway risk. It is understood that the detection data may include wire breakage detection data, temperature data, voltage data, pressure data, and the like.
In this scheme, the detection data may include one or more of wire breakage detection data, temperature data, and voltage data. The disconnection detection data may be a detection result of a line in the lithium ion battery, and may include, for example, a detection result of a line state of a voltage sampling line, a temperature sampling line, or the like. The temperature data may include a temperature value of each temperature detection point in the lithium ion battery, or may include a statistical result obtained according to the temperature value of each temperature detection point, for example, a temperature change rate of each temperature detection point in a preset time, a temperature extremum of each temperature detection point in the preset time, and the like. The voltage data may include voltages of the individual cells, or may include statistical results obtained according to the voltages of the individual cells, for example, a voltage change rate of each individual cell in a preset time, a voltage extremum of each individual cell in the preset time, and the like.
In this scheme, optionally, the disconnection detection data includes a voltage sampling line disconnection number, a temperature sampling line disconnection number, and a temperature sampling line short circuit number;
the temperature data comprise the maximum temperature of the single battery cell, the minimum temperature of the single battery cell and the temperature change of the single battery cell in unit time;
the voltage data includes a voltage of each individual cell, an average voltage of the individual cells, a maximum voltage of the individual cells, and a minimum voltage of the individual cells.
It will be appreciated that the battery management system may record the number of open circuits of the voltage sample lines, the number of open circuits of the temperature sample lines, and the number of short circuits of the temperature sample lines. The battery management system may take the single battery cell as a temperature detection point to obtain the temperature corresponding to each single battery cell, or take the center point of a plurality of single battery cells in a preset range as a temperature detection point, and take the temperature of the temperature detection point as the temperature of each single battery cell in the preset range. The battery management system can count the temperature of each single battery cell to determine the maximum temperature and the minimum temperature of the single battery cell, and can calculate the temperature change of the single battery cell in unit time according to the temperature of the single battery cell in unit time, for example, a plurality of temperature detection values in 1 minute. It is easy to understand that the battery management system may also count the average voltage, the maximum voltage and the minimum voltage of the unit cells in the lithium ion storage battery according to the voltages of the unit cells.
And S120, determining a thermal runaway evaluation result of the lithium ion storage battery according to the detection data and the thermal runaway condition acquired in advance.
The battery management system can judge whether the thermal runaway condition is met or not according to the broken wire detection data, the temperature data or the voltage data alone, can judge the thermal runaway risk according to two of the broken wire detection data, the temperature data and the voltage data, and can determine the thermal runaway evaluation result of the lithium ion storage battery according to the broken wire detection data, the temperature data and the voltage data. The thermal runaway condition may be determined based on a data item contained in the detection data.
According to the technical scheme, detection data of the lithium ion storage battery is acquired through a battery management system configured in the fuel automobile, and a thermal runaway evaluation result of the lithium ion storage battery is determined according to the detection data and a thermal runaway condition acquired in advance. According to the technical scheme, the problem of thermal runaway risk monitoring of the lithium ion storage battery in the fuel automobile is solved, the reliability of thermal runaway monitoring can be improved while the accuracy of thermal runaway judgment of the lithium ion storage battery is ensured, the driving safety of the fuel automobile is improved, and the service life of the lithium ion storage battery is prolonged.
Example two
Fig. 2 is a flowchart of a method for determining thermal runaway of a lithium ion battery according to a second embodiment of the present invention, where the method is based on the foregoing embodiment, and refines data items included in detection data. As shown in fig. 2, the method includes:
s210, acquiring detection data of a lithium ion storage battery; wherein the detection data includes at least one of disconnection detection data, temperature data, and voltage data.
In one possible approach, the detection data may include temperature data and voltage data;
the thermal runaway condition includes at least one of the following conditions:
the maximum temperature of the single battery cell is larger than a first temperature threshold value in a first preset time period, and the ratio of the target pressure difference of the single battery cell to the average voltage of the single battery cell is larger than a preset ratio threshold value in a second preset time period; the target voltage difference is the difference between the average voltage and the maximum voltage of the single battery cell or the difference between the average voltage and the minimum voltage of the single battery cell;
in the first preset time, the temperature change of the single battery cell in unit time is larger than a preset temperature change threshold value, and in the second preset time period, the ratio of the target pressure difference of the single battery cell to the average voltage of the single battery cell is larger than a preset ratio threshold value;
In the first preset time, the difference between the maximum temperature and the minimum temperature of the single battery cell is larger than a second temperature threshold value, and in the second preset time period, the ratio of the target pressure difference of the single battery cell to the average voltage of the single battery cell is larger than a preset ratio threshold value;
the maximum temperature of the single battery cells is larger than a first temperature threshold value in a first preset time period, and at least one single battery cell voltage is smaller than a preset voltage threshold value in a second preset time period;
in the first preset time, the temperature change of the single battery cell in unit time is larger than a preset temperature change threshold value, and in the second preset time period, at least one single battery cell voltage is smaller than a preset voltage threshold value.
In particular, the first temperature threshold may be a higher temperature value, e.g. 75 ℃, the first preset time period may be a shorter time span, e.g. 2s, the second preset time period may be a shorter duration, e.g. 300ms, than the first preset time period time span, and the preset ratio threshold may be a ratio value of less than 1, e.g. 0.25.
The maximum temperature of the single battery cells is larger than a first temperature threshold value in a first preset time period, and the ratio of the target pressure difference of the single battery cells to the average voltage of the single battery cells is larger than a preset proportion threshold value in a second preset time period, so that the maximum temperature of the single battery cells is excessively high, the pressure difference among the single battery cells is excessively large, one or more single battery cells are abnormal, and the lithium ion storage battery has a thermal runaway risk. It should be noted that the target voltage difference may be a difference between the average voltage and the maximum voltage of the single cell, or may be a difference between the average voltage and the minimum voltage of the single cell.
In the first preset time, the temperature change of the single battery cells in unit time is larger than a preset temperature change threshold value, and in the second preset time period, the ratio of the target pressure difference of the single battery cells to the average voltage of the single battery cells is larger than a preset ratio threshold value, which indicates that the pressure difference among the single battery cells is overlarge, one or more single battery cells have too fast temperature change, and the lithium ion storage battery has thermal runaway risk.
The second temperature threshold may be less than the temperature value of the first temperature threshold, for example 30 ℃. In the first preset time, the difference between the maximum temperature and the minimum temperature of the single battery cells is larger than a second temperature threshold value, and in the second preset time period, the ratio of the target pressure difference of the single battery cells to the average voltage of the single battery cells is larger than a preset ratio threshold value, which indicates that the temperature difference and the pressure difference between the single battery cells are overlarge, the single battery cells are abnormal, and the lithium ion storage battery has a thermal runaway risk.
It is understood that the preset voltage threshold may be the maximum voltage that the cell can reach for normal operation. The maximum temperature of the single battery cells is larger than a first temperature threshold value in a first preset time period, and in a second preset time period, at least one single battery cell voltage is smaller than a preset voltage threshold value, which indicates that the temperature of the single battery cells is overlarge and the voltage is abnormal, and thermal runaway is easy to cause.
In the first preset time, the temperature change of the single battery cell in unit time is larger than a preset temperature change threshold value, and in the second preset time period, at least one single battery cell voltage is smaller than a preset voltage threshold value, which indicates that the temperature change of the single battery cell is too fast, the voltage is abnormal, and then the thermal runaway of the lithium ion storage battery is caused.
According to the scheme, the lithium ion storage battery can be subjected to thermal runaway judgment based on the voltage data and the temperature data, so that the lithium ion storage battery can be accurately judged in terms of the electricity utilization characteristics of the fuel automobile.
In another possible solution, the detection data includes broken wire detection data and temperature data;
the thermal runaway condition includes at least one of the following conditions:
the maximum temperature of the single battery cell is larger than a first temperature threshold value in a first preset time period, and the number of single voltage sampling line disconnection is larger than or equal to a preset disconnection threshold value;
in the first preset time, the temperature change of the single battery cell in unit time is larger than a preset temperature change threshold value, and the breaking number of the single voltage sampling line is larger than or equal to a preset breaking threshold value;
in the first preset time, the difference between the maximum temperature and the minimum temperature of the single battery cell is larger than a second temperature threshold value, and the breaking number of the single voltage sampling line is larger than or equal to a preset breaking threshold value;
The maximum temperature of the single battery cell is larger than a first temperature threshold value in a first preset time period, and the number of single temperature sampling line shorts is larger than or equal to a preset disconnection threshold value;
the maximum temperature of the single battery cell is larger than a first temperature threshold value in a first preset time period, and the open number of the single temperature sampling lines is larger than or equal to a preset disconnection threshold value.
It can be appreciated that the line state of the voltage sampling line may affect the reliability of the voltage data acquisition, and the line state of the temperature sampling line may affect the reliability of the temperature data acquisition. If the lithium ion storage battery is out of control, the operation temperature is abnormal, so that the voltage of the single battery cell is abnormal, and the sampling line is disconnected or short-circuited. Therefore, the battery management system can perform thermal runaway judgment on the lithium ion storage battery according to the disconnection detection data of the voltage sampling line or the temperature sampling line.
In the scheme, the battery management system carries out thermal runaway judgment on the lithium ion storage battery by combining temperature data on the basis of broken line detection data. Specifically, the preset disconnection threshold value may be 1, if the disconnection number of the single voltage sampling line is greater than or equal to the preset disconnection threshold value, it is indicated that the circuit of the single voltage sampling line is disconnected, and when the temperature of the single battery core is too high, the temperature change is too fast or the temperature difference is too high, the lithium ion storage battery has a thermal runaway risk.
If the number of the single temperature sampling lines is larger than or equal to a preset disconnection threshold value, the short circuit of the temperature sampling lines is indicated, and when the temperature of the single battery core is overlarge, the temperature change is too fast or the temperature difference is too large, the lithium ion storage battery has a thermal runaway risk. Similarly, if the open number of the single temperature sampling lines is greater than or equal to a preset disconnection threshold value, the open of the temperature sampling lines is indicated, and when the temperature of the single battery cell is overlarge, the temperature change is too fast or the temperature difference is too large, the lithium ion storage battery has a thermal runaway risk.
According to the scheme, whether the lithium ion storage battery has thermal runaway risk can be judged based on the disconnection detection data and the temperature data, and accurate judgment of the thermal runaway risk is realized while the reliability of the temperature and voltage data is ensured.
In this embodiment, optionally, the detection data includes disconnection detection data and voltage data;
the thermal runaway condition includes at least one of the following conditions:
in a second preset time period, the ratio of the target voltage difference of the single battery cell to the average voltage of the single battery cell is larger than a preset proportion threshold value, and the open number of the single temperature sampling lines is larger than or equal to a preset disconnection threshold value;
and in a second preset time period, the ratio of the target voltage difference of the single battery cell to the average voltage of the single battery cell is larger than a preset proportion threshold value, and the number of single temperature sampling line shorts is larger than or equal to a preset disconnection threshold value.
The battery management system can also carry out thermal runaway judgment on the lithium ion storage battery by combining voltage data on the basis of the disconnection detection data. If the number of the single temperature sampling lines is larger than or equal to a preset disconnection threshold value, the short circuit of the temperature sampling lines is indicated, and on the basis of the short circuit of the temperature sampling lines, if the pressure difference among the single battery cores is overlarge, the lithium ion storage battery has a thermal runaway risk.
According to the scheme, whether the lithium ion storage battery has thermal runaway risk can be judged based on the broken line detection data and the voltage data, and accurate judgment of the thermal runaway risk is realized while the reliability of the temperature and voltage data is ensured.
In this embodiment, optionally, the detection data includes temperature data; the thermal runaway condition includes at least one of the following conditions:
the maximum temperature of the single battery cell is larger than a first temperature threshold value in a first preset time period, and the temperature change of the single battery cell in unit time is larger than a preset temperature change threshold value in the first preset time period;
in the first preset time, the temperature change of the single battery cell in unit time is larger than a preset temperature change threshold value, and in the first preset time, the difference between the maximum temperature and the minimum temperature of the single battery cell is larger than a second temperature threshold value;
In the first preset time, the difference between the maximum temperature and the minimum temperature of the single battery cell is larger than the second temperature threshold, and in the third preset time period, the maximum temperature of the single battery cell is larger than the third temperature threshold;
and in a fourth preset time period, the maximum temperature and the minimum temperature of the single battery cell are both greater than the third temperature threshold.
The battery management system can perform thermal runaway judgment on the lithium ion storage battery only by relying on temperature data. In the scheme, the maximum temperature of the single battery cell is larger than a first temperature threshold value in a first preset time period, and the temperature change of the single battery cell in unit time is larger than a preset temperature change threshold value in the first preset time period, so that the fact that the temperature of the single battery cell is too high and the temperature change is too fast is indicated, and the thermal runaway risk exists.
If the temperature change of the unit time of the single battery cell is larger than the preset temperature change threshold value within the first preset time, and the difference between the maximum temperature and the minimum temperature of the single battery cell is larger than the second temperature threshold value within the first preset time, the temperature difference is too large when the temperature change of the single battery cell is too fast, and the thermal runaway risk exists.
The third preset time period may be a time period longer than both the first preset time period and the second preset time period, for example, 1min. The fourth temperature threshold may be a higher temperature value than each of the first, second, and third temperature thresholds, e.g., 140 ℃. The temperature difference of the single battery core is too large, and the temperature is too high in a long time, so that the thermal runaway risk of the lithium ion storage battery can be determined.
The fourth preset time period may be less than the third preset time period, for example, may be 5s, and if the maximum temperature and the minimum temperature of the single battery cell in the fourth preset time period are both greater than the third temperature threshold, it indicates that the single battery cell in the lithium ion storage battery has too high temperature and has a thermal runaway risk.
According to the scheme, the thermal runaway judgment of the lithium ion storage battery can be realized only according to the temperature data, and the thermal runaway judgment efficiency is improved.
And S220, if the detection data meet the thermal runaway condition, determining that the lithium ion storage battery has a thermal runaway risk.
It is readily appreciated that the battery management system may compare the sensed data to a thermal runaway condition and determine that the lithium ion battery is at risk of thermal runaway if the sensed data meets the thermal runaway condition. The battery management system can send alarm information to the vehicle-mounted system after determining that the lithium ion storage battery has thermal runaway risk, and prompts personnel in the vehicle to pay attention to safety and stop inspection. If the lithium ion storage battery is in a working state, the battery management system can control the charge and discharge of the lithium ion storage battery, and take refrigeration measures to cool the lithium ion storage battery so as to reduce the risk of thermal runaway.
According to the technical scheme, detection data of the lithium ion storage battery is acquired through a battery management system configured in the fuel automobile, and a thermal runaway evaluation result of the lithium ion storage battery is determined according to the detection data and a thermal runaway condition acquired in advance. According to the technical scheme, the problem of thermal runaway risk monitoring of the lithium ion storage battery in the fuel automobile is solved, the reliability of thermal runaway monitoring can be improved while the accuracy of thermal runaway judgment of the lithium ion storage battery is ensured, the driving safety of the fuel automobile is improved, and the service life of the lithium ion storage battery is prolonged.
Example III
Fig. 3 is a schematic structural diagram of a thermal runaway determining device for a lithium ion battery according to a third embodiment of the present invention. The device is configured in a battery management system configured in a fuel vehicle. As shown in fig. 3, the apparatus includes:
a detection data acquisition module 310, configured to acquire detection data of the lithium ion battery; wherein the detection data comprises at least one of wire breakage detection data, temperature data and voltage data;
the evaluation result determination module 320 is configured to determine a thermal runaway evaluation result of the lithium ion battery according to the detection data and the thermal runaway condition acquired in advance.
In this scheme, optionally, the disconnection detection data includes a voltage sampling line disconnection number, a temperature sampling line disconnection number, and a temperature sampling line short circuit number;
the temperature data comprise the maximum temperature of the single battery cell, the minimum temperature of the single battery cell and the temperature change of the single battery cell in unit time;
the voltage data includes a voltage of each individual cell, an average voltage of the individual cells, a maximum voltage of the individual cells, and a minimum voltage of the individual cells.
On the basis of the scheme, the detection data comprise temperature data and voltage data;
the thermal runaway condition includes at least one of the following conditions:
the maximum temperature of the single battery cell is larger than a first temperature threshold value in a first preset time period, and the ratio of the target pressure difference of the single battery cell to the average voltage of the single battery cell is larger than a preset ratio threshold value in a second preset time period; the target voltage difference is the difference between the average voltage and the maximum voltage of the single battery cell or the difference between the average voltage and the minimum voltage of the single battery cell;
in the first preset time, the temperature change of the single battery cell in unit time is larger than a preset temperature change threshold value, and in the second preset time period, the ratio of the target pressure difference of the single battery cell to the average voltage of the single battery cell is larger than a preset ratio threshold value;
In the first preset time, the difference between the maximum temperature and the minimum temperature of the single battery cell is larger than a second temperature threshold value, and in the second preset time period, the ratio of the target pressure difference of the single battery cell to the average voltage of the single battery cell is larger than a preset ratio threshold value;
the maximum temperature of the single battery cells is larger than a first temperature threshold value in a first preset time period, and at least one single battery cell voltage is smaller than a preset voltage threshold value in a second preset time period;
in the first preset time, the temperature change of the single battery cell in unit time is larger than a preset temperature change threshold value, and in the second preset time period, at least one single battery cell voltage is smaller than a preset voltage threshold value.
In one possible solution, the detection data includes broken wire detection data and temperature data;
the thermal runaway condition includes at least one of the following conditions:
the maximum temperature of the single battery cell is larger than a first temperature threshold value in a first preset time period, and the number of single voltage sampling line disconnection is larger than or equal to a preset disconnection threshold value;
in the first preset time, the temperature change of the single battery cell in unit time is larger than a preset temperature change threshold value, and the breaking number of the single voltage sampling line is larger than or equal to a preset breaking threshold value;
In the first preset time, the difference between the maximum temperature and the minimum temperature of the single battery cell is larger than a second temperature threshold value, and the breaking number of the single voltage sampling line is larger than or equal to a preset breaking threshold value;
the maximum temperature of the single battery cell is larger than a first temperature threshold value in a first preset time period, and the number of single temperature sampling line shorts is larger than or equal to a preset disconnection threshold value;
the maximum temperature of the single battery cell is larger than a first temperature threshold value in a first preset time period, and the open number of the single temperature sampling lines is larger than or equal to a preset disconnection threshold value.
In another possible implementation, the detection data includes disconnection detection data and voltage data;
the thermal runaway condition includes at least one of the following conditions:
in a second preset time period, the ratio of the target voltage difference of the single battery cell to the average voltage of the single battery cell is larger than a preset proportion threshold value, and the open number of the single temperature sampling lines is larger than or equal to a preset disconnection threshold value;
and in a second preset time period, the ratio of the target voltage difference of the single battery cell to the average voltage of the single battery cell is larger than a preset proportion threshold value, and the number of single temperature sampling line shorts is larger than or equal to a preset disconnection threshold value.
In this embodiment, optionally, the evaluation result determining module 320 is specifically configured to:
and if the detection data meet the thermal runaway condition, determining that the lithium ion storage battery has a thermal runaway risk.
On the basis of the above scheme, optionally, the device further comprises:
and the risk alarm module is used for sending alarm information to the vehicle-mounted system and controlling the charge and discharge of the lithium ion storage battery.
The lithium ion battery thermal runaway determining device provided by the embodiment of the invention can execute the lithium ion battery thermal runaway determining method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the executing method.
Example IV
Fig. 4 is a schematic structural diagram of an automobile according to a fourth embodiment of the present invention. As shown in fig. 4, an automobile 410 may include a lithium ion battery 411 and a battery management system 412, the lithium ion battery 411 being communicatively coupled to the battery management system 412; the battery management system may perform the lithium ion secondary battery thermal runaway determination method described in the above embodiments.
It can be appreciated that the vehicle 410 may be a fuel vehicle or an electric vehicle, the lithium ion battery 411 may be used for power supply of the vehicle, and the battery management system 412 may obtain detection data of the lithium ion battery, and determine a thermal runaway evaluation result of the lithium ion battery according to the detection data and a thermal runaway condition obtained in advance. Wherein the detection data comprises at least one of wire breakage detection data, temperature data and voltage data;
Optionally, the disconnection detection data includes a voltage sampling line disconnection number, a temperature sampling line disconnection number and a temperature sampling line short circuit number;
the temperature data comprise the maximum temperature of the single battery cell, the minimum temperature of the single battery cell and the temperature change of the single battery cell in unit time;
the voltage data includes a voltage of each individual cell, an average voltage of the individual cells, a maximum voltage of the individual cells, and a minimum voltage of the individual cells.
In one possible implementation, the detection data includes temperature data and voltage data;
the thermal runaway condition includes at least one of the following conditions:
the maximum temperature of the single battery cell is larger than a first temperature threshold value in a first preset time period, and the ratio of the target pressure difference of the single battery cell to the average voltage of the single battery cell is larger than a preset ratio threshold value in a second preset time period; the target voltage difference is the difference between the average voltage and the maximum voltage of the single battery cell or the difference between the average voltage and the minimum voltage of the single battery cell;
in the first preset time, the temperature change of the single battery cell in unit time is larger than a preset temperature change threshold value, and in the second preset time period, the ratio of the target pressure difference of the single battery cell to the average voltage of the single battery cell is larger than a preset ratio threshold value;
In the first preset time, the difference between the maximum temperature and the minimum temperature of the single battery cell is larger than a second temperature threshold value, and in the second preset time period, the ratio of the target pressure difference of the single battery cell to the average voltage of the single battery cell is larger than a preset ratio threshold value;
the maximum temperature of the single battery cells is larger than a first temperature threshold value in a first preset time period, and at least one single battery cell voltage is smaller than a preset voltage threshold value in a second preset time period;
in the first preset time, the temperature change of the single battery cell in unit time is larger than a preset temperature change threshold value, and in the second preset time period, at least one single battery cell voltage is smaller than a preset voltage threshold value.
In another possible solution, the detection data includes broken wire detection data and temperature data;
the thermal runaway condition includes at least one of the following conditions:
the maximum temperature of the single battery cell is larger than a first temperature threshold value in a first preset time period, and the number of single voltage sampling line disconnection is larger than or equal to a preset disconnection threshold value;
in the first preset time, the temperature change of the single battery cell in unit time is larger than a preset temperature change threshold value, and the breaking number of the single voltage sampling line is larger than or equal to a preset breaking threshold value;
In the first preset time, the difference between the maximum temperature and the minimum temperature of the single battery cell is larger than a second temperature threshold value, and the breaking number of the single voltage sampling line is larger than or equal to a preset breaking threshold value;
the maximum temperature of the single battery cell is larger than a first temperature threshold value in a first preset time period, and the number of single temperature sampling line shorts is larger than or equal to a preset disconnection threshold value;
the maximum temperature of the single battery cell is larger than a first temperature threshold value in a first preset time period, and the open number of the single temperature sampling lines is larger than or equal to a preset disconnection threshold value.
In this scheme, optionally, the detection data includes broken wire detection data and voltage data;
the thermal runaway condition includes at least one of the following conditions:
in a second preset time period, the ratio of the target voltage difference of the single battery cell to the average voltage of the single battery cell is larger than a preset proportion threshold value, and the open number of the single temperature sampling lines is larger than or equal to a preset disconnection threshold value;
and in a second preset time period, the ratio of the target voltage difference of the single battery cell to the average voltage of the single battery cell is larger than a preset proportion threshold value, and the number of single temperature sampling line shorts is larger than or equal to a preset disconnection threshold value.
On the basis of the scheme, the detection data comprise temperature data;
The thermal runaway condition includes at least one of the following conditions:
the maximum temperature of the single battery cell is larger than a first temperature threshold value in a first preset time period, and the temperature change of the single battery cell in unit time is larger than a preset temperature change threshold value in the first preset time period;
in the first preset time, the temperature change of the single battery cell in unit time is larger than a preset temperature change threshold value, and in the first preset time, the difference between the maximum temperature and the minimum temperature of the single battery cell is larger than a second temperature threshold value;
in the first preset time, the difference between the maximum temperature and the minimum temperature of the single battery cell is larger than the second temperature threshold, and in the third preset time period, the maximum temperature of the single battery cell is larger than the third temperature threshold;
and in a fourth preset time period, the maximum temperature and the minimum temperature of the single battery cell are both greater than the third temperature threshold.
Example five
Fig. 5 shows a schematic diagram of an electronic device 510 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 5, the electronic device 510 includes at least one processor 511, and a memory communicatively connected to the at least one processor 511, such as a Read Only Memory (ROM) 512, a Random Access Memory (RAM) 513, etc., in which the memory stores computer programs executable by the at least one processor, and the processor 511 may perform various suitable actions and processes according to the computer programs stored in the Read Only Memory (ROM) 512 or the computer programs loaded from the storage unit 518 into the Random Access Memory (RAM) 513. In the RAM 513, various programs and data required for the operation of the electronic device 510 can also be stored. The processor 511, the ROM 512, and the RAM 513 are connected to each other by a bus 514. An input/output (I/O) interface 515 is also connected to bus 514.
Various components in the electronic device 510 are connected to the I/O interface 515, including: an input unit 516 such as a keyboard, a mouse, etc.; an output unit 517 such as various types of displays, speakers, and the like; a storage unit 518 such as a magnetic disk, optical disk, etc.; and a communication unit 519 such as a network card, modem, wireless communication transceiver, or the like. The communication unit 519 allows the electronic device 510 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunications networks.
The processor 511 may be a variety of general and/or special purpose processing components with processing and computing capabilities. Some examples of processor 511 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 511 performs the various methods and processes described above, such as a lithium ion battery thermal runaway determination method.
In some embodiments, the lithium ion battery thermal runaway determination method may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as the storage unit 518. In some embodiments, some or all of the computer program may be loaded and/or installed onto the electronic device 510 via the ROM 512 and/or the communication unit 519. When the computer program is loaded into RAM 513 and executed by processor 511, one or more steps of the lithium ion battery thermal runaway determination method described above may be performed. Alternatively, in other embodiments, the processor 511 may be configured to perform the lithium ion battery thermal runaway determination method in any other suitable manner (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (10)
1. A method for determining thermal runaway of a lithium ion battery, the method comprising:
acquiring detection data of a lithium ion storage battery; wherein the detection data comprises at least one of wire breakage detection data, temperature data and voltage data;
and determining a thermal runaway evaluation result of the lithium ion storage battery according to the detection data and the thermal runaway condition acquired in advance.
2. The method of claim 1, wherein the outage detection data comprises a voltage sample line outage number, a temperature sample line outage number, and a temperature sample line outage number;
The temperature data comprise the maximum temperature of the single battery cell, the minimum temperature of the single battery cell and the temperature change of the single battery cell in unit time;
the voltage data includes a voltage of each individual cell, an average voltage of the individual cells, a maximum voltage of the individual cells, and a minimum voltage of the individual cells.
3. The method of claim 2, wherein the sensed data comprises temperature data and voltage data;
the thermal runaway condition includes at least one of the following conditions:
the maximum temperature of the single battery cell is larger than a first temperature threshold value in a first preset time period, and the ratio of the target pressure difference of the single battery cell to the average voltage of the single battery cell is larger than a preset ratio threshold value in a second preset time period; the target voltage difference is the difference between the average voltage and the maximum voltage of the single battery cell or the difference between the average voltage and the minimum voltage of the single battery cell;
in the first preset time, the temperature change of the single battery cell in unit time is larger than a preset temperature change threshold value, and in the second preset time period, the ratio of the target pressure difference of the single battery cell to the average voltage of the single battery cell is larger than a preset ratio threshold value;
in the first preset time, the difference between the maximum temperature and the minimum temperature of the single battery cell is larger than a second temperature threshold value, and in the second preset time period, the ratio of the target pressure difference of the single battery cell to the average voltage of the single battery cell is larger than a preset ratio threshold value;
The maximum temperature of the single battery cells is larger than a first temperature threshold value in a first preset time period, and at least one single battery cell voltage is smaller than a preset voltage threshold value in a second preset time period;
in the first preset time, the temperature change of the single battery cell in unit time is larger than a preset temperature change threshold value, and in the second preset time period, at least one single battery cell voltage is smaller than a preset voltage threshold value.
4. The method of claim 2, wherein the detection data comprises wire breakage detection data and temperature data;
the thermal runaway condition includes at least one of the following conditions:
the maximum temperature of the single battery cell is larger than a first temperature threshold value in a first preset time period, and the number of single voltage sampling line disconnection is larger than or equal to a preset disconnection threshold value;
in the first preset time, the temperature change of the single battery cell in unit time is larger than a preset temperature change threshold value, and the breaking number of the single voltage sampling line is larger than or equal to a preset breaking threshold value;
in the first preset time, the difference between the maximum temperature and the minimum temperature of the single battery cell is larger than a second temperature threshold value, and the breaking number of the single voltage sampling line is larger than or equal to a preset breaking threshold value;
The maximum temperature of the single battery cell is larger than a first temperature threshold value in a first preset time period, and the number of single temperature sampling line shorts is larger than or equal to a preset disconnection threshold value;
the maximum temperature of the single battery cell is larger than a first temperature threshold value in a first preset time period, and the open number of the single temperature sampling lines is larger than or equal to a preset disconnection threshold value.
5. The method of claim 2, wherein the detection data comprises wire break detection data and voltage data;
the thermal runaway condition includes at least one of the following conditions:
in a second preset time period, the ratio of the target voltage difference of the single battery cell to the average voltage of the single battery cell is larger than a preset proportion threshold value, and the open number of the single temperature sampling lines is larger than or equal to a preset disconnection threshold value;
and in a second preset time period, the ratio of the target voltage difference of the single battery cell to the average voltage of the single battery cell is larger than a preset proportion threshold value, and the number of single temperature sampling line shorts is larger than or equal to a preset disconnection threshold value.
6. The method of claim 2, wherein the detection data comprises temperature data;
the thermal runaway condition includes at least one of the following conditions:
The maximum temperature of the single battery cell is larger than a first temperature threshold value in a first preset time period, and the temperature change of the single battery cell in unit time is larger than a preset temperature change threshold value in the first preset time period;
in the first preset time, the temperature change of the single battery cell in unit time is larger than a preset temperature change threshold value, and in the first preset time, the difference between the maximum temperature and the minimum temperature of the single battery cell is larger than a second temperature threshold value;
in the first preset time, the difference between the maximum temperature and the minimum temperature of the single battery cell is larger than the second temperature threshold, and in the third preset time period, the maximum temperature of the single battery cell is larger than the third temperature threshold;
and in a fourth preset time period, the maximum temperature and the minimum temperature of the single battery cell are both greater than the third temperature threshold.
7. A lithium ion battery thermal runaway determining device, characterized by comprising:
the detection data acquisition module is used for acquiring detection data of the lithium ion storage battery; wherein the detection data comprises at least one of wire breakage detection data, temperature data and voltage data;
and the evaluation result determining module is used for determining the thermal runaway evaluation result of the lithium ion storage battery according to the detection data and the thermal runaway condition acquired in advance.
8. An automobile is characterized by comprising a lithium ion storage battery and a battery management system, wherein the lithium ion storage battery is in communication connection with the battery management system; the battery management system is capable of performing the lithium ion secondary battery thermal runaway determination method of any one of claims 1 to 6.
9. An electronic device, the electronic device comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the lithium ion battery thermal runaway determination method of any one of claims 1-6.
10. A computer readable storage medium storing computer instructions for causing a processor to perform the lithium ion battery thermal runaway determination method of any one of claims 1-6.
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