CN117895120B - Battery abnormality detection method, device and storage medium - Google Patents
Battery abnormality detection method, device and storage medium Download PDFInfo
- Publication number
- CN117895120B CN117895120B CN202410288860.3A CN202410288860A CN117895120B CN 117895120 B CN117895120 B CN 117895120B CN 202410288860 A CN202410288860 A CN 202410288860A CN 117895120 B CN117895120 B CN 117895120B
- Authority
- CN
- China
- Prior art keywords
- battery
- temperature
- parameter
- sensor
- current
- 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.)
- Active
Links
- 238000001514 detection method Methods 0.000 title claims abstract description 68
- 230000005856 abnormality Effects 0.000 title claims abstract description 59
- 230000002159 abnormal effect Effects 0.000 claims abstract description 96
- 238000000034 method Methods 0.000 claims abstract description 76
- 239000000178 monomer Substances 0.000 claims abstract description 37
- 239000000463 material Substances 0.000 claims abstract description 28
- 238000004364 calculation method Methods 0.000 claims abstract description 18
- 210000004027 cell Anatomy 0.000 claims description 107
- 230000008569 process Effects 0.000 claims description 17
- 238000004590 computer program Methods 0.000 claims description 5
- 230000007613 environmental effect Effects 0.000 claims description 5
- 230000000875 corresponding effect Effects 0.000 description 29
- 230000002829 reductive effect Effects 0.000 description 17
- 238000010586 diagram Methods 0.000 description 9
- HBBGRARXTFLTSG-UHFFFAOYSA-N Lithium ion Chemical compound [Li+] HBBGRARXTFLTSG-UHFFFAOYSA-N 0.000 description 8
- 229910001416 lithium ion Inorganic materials 0.000 description 8
- 230000008859 change Effects 0.000 description 5
- 239000003792 electrolyte Substances 0.000 description 5
- 239000007789 gas Substances 0.000 description 5
- 229910052744 lithium Inorganic materials 0.000 description 5
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 description 4
- 238000000354 decomposition reaction Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 230000002093 peripheral effect Effects 0.000 description 4
- 230000003068 static effect Effects 0.000 description 4
- 238000012545 processing Methods 0.000 description 3
- 230000006399 behavior Effects 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 2
- 210000001787 dendrite Anatomy 0.000 description 2
- 238000004880 explosion Methods 0.000 description 2
- 230000002687 intercalation Effects 0.000 description 2
- 238000009830 intercalation Methods 0.000 description 2
- 230000000670 limiting effect Effects 0.000 description 2
- GELKBWJHTRAYNV-UHFFFAOYSA-K lithium iron phosphate Chemical compound [Li+].[Fe+2].[O-]P([O-])([O-])=O GELKBWJHTRAYNV-UHFFFAOYSA-K 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 238000007086 side reaction Methods 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- UFHFLCQGNIYNRP-UHFFFAOYSA-N Hydrogen Chemical compound [H][H] UFHFLCQGNIYNRP-UHFFFAOYSA-N 0.000 description 1
- 238000009825 accumulation Methods 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 238000003491 array Methods 0.000 description 1
- 239000011230 binding agent Substances 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000001816 cooling Methods 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 235000019800 disodium phosphate Nutrition 0.000 description 1
- 238000004146 energy storage Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000001257 hydrogen Substances 0.000 description 1
- 229910052739 hydrogen Inorganic materials 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000002844 melting Methods 0.000 description 1
- 230000008018 melting Effects 0.000 description 1
- 238000001556 precipitation Methods 0.000 description 1
- 230000002441 reversible effect Effects 0.000 description 1
- 229920006395 saturated elastomer Polymers 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
- 230000008016 vaporization Effects 0.000 description 1
Classifications
-
- 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
- Secondary Cells (AREA)
Abstract
The application provides a method, a device and a storage medium for detecting battery abnormality, wherein the method comprises the following steps: acquiring detection parameters of the battery acquired by the sensor group; the sensor groups are arranged according to the number of the battery cells of the battery, the shapes of the battery cells and the materials of the battery cells; and judging whether the battery is in an abnormal state or not according to the detection parameters. The sensor group comprises a plurality of first temperature sensors; the battery comprises a plurality of battery monomers which are arranged in sequence; the arrangement of the plurality of first temperature sensors includes the following arrangement: acquiring the total number of the battery cells, the actual thickness of the battery cells in the arrangement direction and the theoretical thickness of the battery cells; the arrangement of the plurality of first temperature sensors is determined according to the calculation formula n=int [1+ (P-1) ×α×m ] +int [1+ (L-L 0)/max(L,L0) ]. According to the method, the sensor is arranged according to the calculation formula to detect the battery, so that the accuracy of detecting the battery is improved. Thereby reducing the probability of abnormality of the battery.
Description
Technical Field
The present application relates to the field of battery detection technologies, and in particular, to a method and apparatus for detecting battery abnormalities, and a storage medium.
Background
Abnormal conditions of the battery generally include overcharge, overdischarge, short circuit, and the like. These abnormal states generally cause rapid temperature rise inside the battery, and thermal runaway occurs. Batteries that undergo thermal runaway often present hazards such as fire, explosion, and emission of harmful gases.
In order to prevent and manage thermal runaway, the currently common approaches include temperature monitoring and control, use of battery management systems, protection against overcharge and overdischarge, short-circuit protection, cooling systems, and gas discharge measures, etc.
These measures, while ensuring to some extent that the battery is within safe limits, reduce the risk of thermal runaway. However, in these measures, the rationality of the sensor layout is not high enough, which results in insufficient accuracy in detecting the battery.
Disclosure of Invention
The application aims to provide a method, a device and a storage medium for detecting battery abnormality, which can improve the accuracy of detecting batteries by arranging sensors according to the number, the shape and materials of battery monomers so as to detect the batteries.
In a first aspect, the present application provides a method for detecting battery abnormality, including: acquiring detection parameters of the battery acquired by a sensor group; wherein the sensor group is arranged according to the number of the battery cells of the battery, the shape of the battery cells and the materials of the battery cells; and judging whether the battery is in an abnormal state or not according to the detection parameters. Wherein the sensor group comprises a plurality of first temperature sensors; the battery comprises a plurality of battery monomers which are arranged in sequence; the arrangement of the plurality of first temperature sensors comprises the following arrangement modes: acquiring the total number of the battery cells, the actual thickness of the battery cells in the arrangement direction and the theoretical thickness of the battery cells; determining the arrangement mode of the first temperature sensors according to a calculation formula N=int [1+ (P-1) ×α×M ] +int [1+ (L-L 0)/max(L,L0) ]; wherein N represents the number of battery cells of the battery cells spaced between each two first temperature sensors of the plurality of first temperature sensors; int [ ] represents a rounding operation; p represents the contact thermal conductivity of the cell surface; m represents the total number of the battery monomers; alpha represents the consideration parameter of the total number of the battery cells, the range of the consideration parameter is (0, 1), L represents the actual thickness of the battery cells, and L 0 represents the theoretical thickness of the battery cells.
According to the method for detecting the battery abnormality, the sensors are arranged according to the number, the shape and the materials of the battery monomers, so that the battery is detected, and the accuracy of detecting the battery is improved. And further, corresponding measures are taken according to the detection result, so that the probability of abnormality of the battery is reduced. The number of the battery monomers spaced between every two first temperature sensors in the first temperature sensors is determined according to the calculation formula, so that the rationality of the layout of the first temperature sensors is further improved, and the accuracy of detecting the battery is further improved.
With reference to the first aspect, optionally, the detection parameter includes a battery temperature parameter acquired by a first temperature sensor; and judging whether the battery is in an abnormal state according to the detection parameters, wherein the method comprises the following steps: judging whether the battery temperature parameter acquired by the current first temperature sensor exceeds a first temperature threshold value or not; if the battery temperature parameter acquired by the current first temperature sensor exceeds the first temperature threshold, further judging whether the battery temperature parameter acquired by the first temperature sensor adjacent to the current first temperature sensor exceeds the second temperature threshold; wherein the first temperature threshold is greater than a second temperature threshold;
And if the battery temperature parameter acquired by the first temperature sensor adjacent to the current first temperature sensor exceeds the second temperature threshold, judging that the battery cell corresponding to the current first temperature sensor is in an abnormal state, and determining that the abnormal state is a thermal runaway state.
According to the method for detecting the battery abnormality, whether the current battery monomer is in an abnormal state or not is judged by combining the temperature of the current battery monomer and the temperatures of the adjacent battery monomers, and the abnormal state is determined to be a thermal runaway state or not under the condition that the current battery monomer is abnormal, so that the accuracy of detecting whether the battery is in the thermal runaway state or not is improved. And further, corresponding measures are taken according to the detection result, so that the probability of abnormality of the battery is further reduced.
With reference to the first aspect, optionally, the sensor group further includes a second temperature sensor for acquiring an environmental temperature parameter of an environment in which the battery is located; the detection parameters comprise battery temperature parameters acquired by the first temperature sensor and environment temperature parameters acquired by the second temperature sensor; and judging whether the battery is in an abnormal state according to the detection parameters, wherein the method comprises the following steps:
Calculating a comprehensive temperature parameter T z according to the battery temperature parameter and the environment temperature parameter;
judging whether the comprehensive temperature parameter T z exceeds a third temperature threshold;
If the comprehensive temperature parameter T z is judged to exceed a third temperature threshold, judging that the battery cell corresponding to the first temperature sensor is in an abnormal state, and determining that the abnormal state is a thermal runaway state;
The calculation mode of the comprehensive temperature parameter T z comprises the following modes:
Wherein, T z represents the comprehensive temperature parameter, T h represents the compensation temperature parameter, which is determined according to the material of the battery and the environmental condition of the battery, and T d represents the battery temperature parameter measured by the temperature sensor at a certain moment; t c represents a temperature difference between the battery temperature parameter T d and the ambient temperature parameter.
According to the method for detecting the battery abnormality, the integrated temperature parameter is calculated, whether the battery is in an abnormal state is judged according to whether the integrated temperature parameter is too high, and compared with a scheme of judging whether the battery is in the abnormal state directly according to whether the temperature of a battery monomer is too high, the battery temperature, the environment temperature and differences among the battery temperature and the environment temperature are comprehensively considered. Furthermore, the accuracy of detecting the battery is further improved by acquiring the temperature parameter detected by the sensor and comprehensively analyzing the temperature parameter. And finally, adopting corresponding measures according to the detection result, so that the probability of abnormality of the battery is further reduced.
With reference to the first aspect, optionally, a calculation formula of the compensation temperature parameter T h is as follows:
Wherein K s represents the air thermal conductivity of the environment in which the battery is located, S represents the surface area of the environment in which the battery is located, K d represents the thermal conductivity of the material of the battery surface, a represents the contact area of the battery with the environment in which the battery is located, T s represents the ambient temperature parameter, and T s' represents the adjacent ambient temperature parameter detected before the detection of the ambient temperature parameter T h by a preset time.
The temperature difference T c between the battery temperature and the ambient temperature is:
According to the battery abnormality detection method, the compensation temperature parameters are calculated by comprehensively considering the factors of the air heat conductivity, the surface area of the environment where the battery is located, the heat conductivity of the material on the surface of the battery and the contact area of the battery with the environment where the battery is located, so that the thermal behavior of the battery under the actual working condition is better reflected. Furthermore, the accuracy of detecting the battery is further improved. And finally, adopting corresponding measures according to the detection result, and further reducing the probability of abnormality of the battery.
With reference to the first aspect, optionally, the sensor group further includes at least one of a voltage sensor and a current sensor.
According to the method for detecting the battery abnormality, battery information beyond temperature, such as internal resistance change, voltage abnormality and the like of the battery, is provided through the voltage sensor and/or the current sensor. The state of the battery is detected from multiple dimensions, and the accuracy of detecting the battery is further improved. And finally, adopting corresponding measures according to the detection result, so that the probability of abnormality of the battery is further reduced.
With reference to the first aspect, optionally, where the sensor group includes a first temperature sensor and a voltage sensor, the detection parameters include a battery temperature parameter acquired by the first temperature sensor and a voltage parameter acquired by the voltage sensor; and judging whether the battery is in an abnormal state according to the detection parameters, wherein the method comprises the following steps: judging whether the temperature parameter of the battery acquired by the current first temperature sensor exceeds a first temperature threshold value or not, and judging whether the voltage parameter exceeds a voltage threshold value or not; if the temperature parameter of the battery acquired by the current first temperature sensor exceeds a first temperature threshold value and the voltage parameter exceeds a voltage threshold value, the battery is judged to be in an abnormal state, and the abnormal state is determined to be in an overcharged state.
According to the method for detecting the battery abnormality, whether the battery is in an abnormal state or not is specifically judged by combining the battery temperature parameter and the overcharge parameter, and the battery is judged to be in an overcharged state under the condition that the battery temperature parameter and the overcharged parameter exceed the corresponding threshold values. And the detection and identification of the other abnormal state of the battery are realized. Further improving the accuracy of detecting the battery. And finally, adopting corresponding measures according to the detection result, so that the probability of abnormality of the battery is further reduced.
With reference to the first aspect, optionally, where the sensor group includes a first temperature sensor and a current sensor, the detection parameters include a battery temperature parameter acquired by the first temperature sensor and a current parameter acquired by the current sensor; and judging whether the battery is in an abnormal state according to the detection parameters, wherein the method comprises the following steps: judging whether the battery temperature parameter acquired by the current first temperature sensor exceeds a first temperature threshold value or not, and judging whether the current parameter exceeds a current threshold value or not; and if the temperature parameter of the battery acquired by the current first temperature sensor exceeds a first temperature threshold value, judging that the current parameter exceeds a current threshold value, judging that the battery is in an abnormal state, and determining that the abnormal state is a short circuit state.
According to the method for detecting the battery abnormality, whether the battery is in an abnormal state or not is specifically judged by combining the battery temperature parameter and the current parameter, and the battery is judged to be in a short circuit state under the condition that the battery temperature parameter and the current parameter exceed the corresponding threshold values. The detection and identification of another abnormal state of the battery are also realized. Further improving the accuracy of detecting the battery. And finally, adopting corresponding measures according to the detection result, so that the probability of abnormality of the battery is further reduced.
In a second aspect, the present application also provides a device for detecting battery abnormality, including: a sensor group and a controller; the sensor group is arranged in the battery according to the number of the battery cells of the battery, the shapes of the battery cells and the materials of the battery cells; the controller is used for acquiring detection parameters of the battery acquired by the sensor group; and judging whether the battery is in an abnormal state or not according to the detection parameters. Wherein the sensor group comprises a plurality of first temperature sensors; the battery comprises a plurality of battery monomers which are arranged in sequence; the arrangement of the plurality of first temperature sensors comprises the following arrangement modes: acquiring the total number of the battery cells, the actual thickness of the battery cells in the arrangement direction and the theoretical thickness of the battery cells; determining the arrangement mode of the first temperature sensors according to a calculation formula N=int [1+ (P-1) ×α×M ] +int [1+ (L-L 0)/max(L,L0) ]; wherein N represents the number of battery cells of the battery cells spaced between each two first temperature sensors of the plurality of first temperature sensors; int [ ] represents a rounding operation; p represents the contact thermal conductivity of the cell surface; m represents the total number of the battery monomers; alpha represents the consideration parameter of the total number of the battery cells, the range of the consideration parameter is (0, 1), L represents the actual thickness of the battery cells, and L 0 represents the theoretical thickness of the battery cells.
The device for detecting abnormal battery has the same advantages as the method for detecting abnormal battery provided in the first aspect or any optional implementation manner of the first aspect, and is not described herein.
In a third aspect, the present application also provides an electronic device, including: a processor and a memory storing machine-readable instructions executable by the processor to perform the method as described above when executed by the processor.
The electronic device has the same advantages as the method for detecting the battery abnormality provided in the first aspect or any optional implementation manner of the first aspect, which is not described herein.
In a fourth aspect, the present application also provides a storage medium comprising a computer readable storage medium having stored thereon a computer program which when executed by a processor performs the method described above.
The storage medium has the same advantages as the method for detecting a battery abnormality provided in the first aspect or any optional implementation manner of the first aspect, which is not described herein.
In summary, according to the method, the device and the storage medium for detecting the battery abnormality, the sensor is arranged according to the number, the shape and the materials of the battery monomers, so that the battery is detected, and the accuracy of detecting the battery is improved. And further, corresponding measures are taken according to the detection result, so that the probability of abnormality of the battery is reduced. According to the calculation formula provided by the application, the number of the battery monomers spaced between every two first temperature sensors in the first temperature sensors is calculated, so that the rationality of the layout of the first temperature sensors is further improved, and the accuracy of detecting the battery is further improved. And judging whether the current battery monomer is in an abnormal state or not by combining the temperature of the current battery monomer and the temperatures of the adjacent battery monomers, and determining that the abnormal state is in particular a thermal runaway state under the condition of judging that the current battery monomer is abnormal, thereby further reducing the occurrence probability of the battery abnormality. The compensation temperature parameter is calculated by comprehensively considering the factors of air heat conductivity, the surface area of the environment where the battery is positioned, the heat conductivity of the surface material of the battery and the contact area of the battery with the environment where the battery is positioned, the comprehensive temperature is calculated according to the compensation temperature, whether the battery is in an abnormal state or not is judged according to whether the comprehensive temperature parameter is too high, and the probability of abnormality of the battery is also further reduced.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and should not be considered as limiting the scope, and other related drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic illustration of a thermal runaway process for a lithium ion battery;
FIG. 2 is a flow chart of a method for detecting battery anomalies provided by the application;
FIG. 3 is a flowchart of a first temperature sensor arrangement in the method for detecting battery abnormality according to the present application;
fig. 4 is a first specific flowchart of step S240 in the method for detecting a battery abnormality according to the present application;
fig. 5 is a second specific flowchart of step S240 in the method for detecting a battery abnormality according to the present application;
fig. 6 is a third specific flowchart of step S240 in the method for detecting a battery abnormality according to the present application;
fig. 7 is a fourth specific flowchart of step S240 in the method for detecting a battery abnormality according to the present application;
FIG. 8 is a schematic diagram of a device for detecting battery abnormalities according to the present application;
fig. 9 is a schematic diagram of an electronic device provided by the present application.
Detailed Description
Embodiments of the technical scheme of the present application will be described in detail below with reference to the accompanying drawings. The following examples are only for more clearly illustrating the technical aspects of the present application, and thus are merely examples, and are not intended to limit the scope of the present application.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs; the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application.
In the description of embodiments of the present application, the technical terms "first," "second," and the like are used merely to distinguish between different objects and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated, a particular order or a primary or secondary relationship. In the description of the embodiments of the present application, the meaning of "plurality" is two or more unless explicitly defined otherwise.
Referring to fig. 1, fig. 1 is a schematic diagram of a thermal runaway process of a lithium ion battery. Taking a commercial lithium iron phosphate battery as an example, the runaway process of the lithium iron phosphate battery can be generally summarized into the following parts: SEI decomposition; the lithium-intercalated negative electrode reacts with the electrolyte; melting the diaphragm; the positive electrode is subjected to decomposition reaction; the electrolyte itself undergoes a decomposition reaction; and vaporizing and burning the electrolyte.
The specific process of thermal runaway comprises the following four stages:
In the first stage, the surface temperature of the battery is lower (26-30 ℃) in the normal charging process. Lithium ions are normally extracted from the positive electrode, intercalated from the negative electrode, and the voltage of the battery is slowly increased. When the battery voltage is about 3.6V, the battery negative electrode lithium intercalation tends to be saturated.
In the second stage, the surface temperature of the battery is obviously increased (39-46 ℃) in the process of slight overcharging. The positive electrode is severely delithiated, and lithium ions are precipitated on the surface of the negative electrode due to the tendency of lithium intercalation of the negative electrode to saturate, and tend to deposit in the edge region of the negative electrode closer to the positive electrode. Studies have shown that lithium dendrites precipitated on the surface of the negative electrode react with the organic binder of the negative electrode to generate hydrogen. The battery voltage continues to rise due to precipitation of lithium metal and severe delithiation of the positive electrode.
And in the third stage, lithium dendrite and electrolyte undergo side reaction to generate heat, so that the internal temperature of the battery is increased, and when the temperature exceeds 90 ℃, the SEI film is initiated to decompose, and C 2H4、CO2、O2 gas is generated.
And in the fourth stage, when the internal temperature of the lithium ion battery reaches about 130 ℃, the diaphragm is melted, short circuit in a large area of the battery is caused, heat is generated, positive feedback is formed on internal reaction due to high temperature caused by heat accumulation, gas such as CO 2、PF5 is generated, uncontrollable self-acceleration reaction starts to occur on the battery, further the temperature of the battery is increased, decomposition reaction can occur on electrolyte per se within the range of 200-300 ℃, and fire and even explosion accidents are finally caused by gas such as CO 2、C2H4, HF and the like. In general, the damage caused by thermal runaway of the single batteries is limited, but in the application scenario of the energy storage power station, the single batteries are large in number and compact in arrangement, and after thermal runaway occurs in one single battery, the generated heat of the single battery can be conducted to surrounding batteries, so that the thermal runaway is spread, and the damage is expanded.
The characteristic parameters required for detecting thermal runaway of the battery generally include internal resistance and temperature.
Regarding the internal resistance, in a normal operation temperature interval, the internal resistance of the battery decreases with the increase of temperature, but when the battery is thermally out of control to cause abnormal increase of temperature, there is a remarkable increase in the internal resistance. However, the abrupt change of the internal resistance of the battery may be affected by other factors, such as external disturbance of the battery or contact failure caused by some reasons, and also may cause an abrupt increase of the internal resistance of the battery. Therefore, it is not accurate to judge whether the battery is thermally out of control only by the change of the resistance, and it is necessary to judge in combination with other characteristic parameters.
Regarding temperature, since temperature and side reaction are in a relationship of mutual promotion when thermal runaway occurs in the battery, positive feedback is formed, and thus temperature is an important parameter for thermal runaway of the lithium ion battery. Many battery pre-warning devices and battery management systems are equipped with temperature sensing devices to monitor battery temperature, and once the temperature exceeds a preset threshold, an alarm signal is sent out or corresponding actions are performed. Three-stage early warning strategies are proposed for 18650 type lithium ion batteries and battery packs: when the battery temperature exceeds 50 ℃, the capacity decays, and the temperature rises slowly in the range of 50-80 ℃, wherein the temperature is the slowest in the range of 70-80 ℃. Therefore, the three-stage early warning temperatures are respectively set to 50 ℃, 70 ℃ and 80 ℃. However, this way of monitoring the surface temperature has hysteresis, since the heat emitted internally requires a certain time to be conducted to the surface and there is also dissipation of the heat during conduction (heat exchange of the battery with the environment).
In summary, the accuracy of detecting the battery is not high enough at present. In view of the above, the present application provides a method, an apparatus and a storage medium for detecting battery abnormalities, so as to solve the above technical problems. In particular, please refer to the examples provided by the present application and the accompanying drawings.
Referring to fig. 2, fig. 2 is a flowchart of a method for detecting battery abnormality according to the present application. The method for detecting the battery abnormality provided by the application can be executed by a controller, and can comprise the following steps:
step S220: the detection parameters of the battery acquired by the sensor group are acquired. The sensor groups are arranged according to the number of the battery cells of the battery, the shapes of the battery cells and the materials of the battery cells.
In the above step S220, the sensor group may include a plurality of sensors, and the sensors may be at least one of a temperature sensor, a voltage sensor, and a current sensor.
Typically, a battery includes a plurality of battery cells. In order to reduce the probability of occurrence of thermal runaway by detecting the battery, it is generally necessary to grasp the relevant parameters of the battery as accurately as possible. Further, the greater the number of cells to which the relevant parameters relate, the greater the accuracy generally. However, if the number of sensors is increased, this will generally lead to an increase in cost and space occupied. Therefore, by adopting the sensors as few as possible and arranging the sensors according to the number of the battery cells, the shapes of the battery cells and the materials of the battery cells, the cost and occupied space can be reduced, and the related parameters of more battery cells can be acquired.
The method can be implemented in particular, in the case that the temperature parameter of the battery needs to be obtained by a temperature sensor, the shape parameter of the battery cell according to which the sensor is arranged, in particular, the actual thickness of the battery cell in the arrangement direction thereof; the material parameters of the battery cells on which the sensor arrangement is based may in particular be the thermal conductivity between the surface materials of the battery cells. The sensors may be arranged in a direction in which the battery cells are arranged, with a certain number of battery cells being spaced between adjacent sensors. More specifically, the greater the actual thickness of the battery cells, the greater the number of battery cells spaced between adjacent sensors; the higher the thermal conductivity between the cell surface materials, the greater the number of cells that can be spaced between adjacent sensors.
Step S240: and judging whether the battery is in an abnormal state or not according to the detection parameters.
In the above step S240, the detection parameter may include at least one of a battery temperature parameter, a battery voltage parameter, and a battery current parameter. Regarding the determination of whether the battery is in an abnormal state or not, and the specific abnormality type according to these detection parameters, in addition to the methods provided in the subsequent embodiments of the present application, those skilled in the art may also determine the corresponding threshold value in combination with the description provided in the previous embodiments of the present application regarding the thermal runaway process of the lithium ion battery, determine the abnormality of the battery and determine the specific abnormality type in the case where the detection parameters exceed the threshold value.
In the implementation process, the sensors are arranged according to the number, the shape and the materials of the battery monomers so as to detect the battery, and the accuracy of detecting the battery is improved. And further, corresponding measures are taken according to the detection result, so that the probability of abnormality of the battery is reduced.
Referring to fig. 3, fig. 3 is a flowchart illustrating an arrangement of a first temperature sensor in the method for detecting battery abnormality according to the present application. The sensor group may comprise several first temperature sensors. The battery may include a plurality of sequentially arranged battery cells.
Accordingly, the arrangement of the number of first temperature sensors may include the following arrangement:
Step S310: the total number of the battery cells, the actual thickness of the battery cells in the arrangement direction and the theoretical thickness of the battery cells are obtained.
Step S320: the arrangement of the plurality of first temperature sensors is determined according to the calculation formula n=int [1+ (P-1) ×α×m ] +int [1+ (L-L 0)/max(L,L0) ]. Wherein N represents the number of battery cells of the battery cells spaced between every two first temperature sensors in the plurality of first temperature sensors. int [ ] represents a rounding operation. P represents the contact thermal conductivity of the cell surface. M represents the total number of the battery cells. Alpha represents the consideration parameter of the total number of the battery cells, and the range of the consideration parameter is (0, 1) L represents the actual thickness of the battery cells, and L 0 represents the theoretical thickness of the battery cells.
The consideration parameter may be a coefficient of the total number of battery cells M, for example, α=0.3.
In the implementation process, the number of the battery monomers spaced between every two first temperature sensors in the first temperature sensors is determined according to the calculation formula, so that the rationality of the layout of the first temperature sensors is further improved, and the accuracy of detecting the battery is further improved.
Referring to fig. 4, fig. 4 is a first specific flowchart of step S240 in the method for detecting abnormal battery according to the present application. In some alternative embodiments, the detected parameter may include a battery temperature parameter acquired by the first temperature sensor.
Accordingly, step S240 may include:
Step S241: and judging whether the battery temperature parameter acquired by the current first temperature sensor exceeds a first temperature threshold value.
If it is determined that the battery temperature parameter acquired by the current first temperature sensor exceeds the first temperature threshold, step S242 is executed: it is further determined whether a battery temperature parameter collected by a first temperature sensor adjacent to the current first temperature sensor exceeds a second temperature threshold. Wherein the first temperature threshold is greater than the second temperature threshold.
If it is determined that the battery temperature parameter acquired by the first temperature sensor adjacent to the current first temperature sensor exceeds the second temperature threshold, step S243: and judging that the battery cell corresponding to the current first temperature sensor is in an abnormal state, and determining that the abnormal state is a thermal runaway state.
In the above steps, if a battery cell is out of control due to excessive temperature, the temperature of the adjacent battery cell will also increase correspondingly. If only the cell temperature is too high and the cell temperature adjacent thereto is normal, it may be caused by some external factors. For example: only the battery cell is exposed to sunlight to cause a temperature rise, and mechanical damage to the battery cell occurs to cause local excessive temperature.
The first temperature threshold is 80 ℃ and the second temperature threshold is 50 ℃ for example. The battery temperature parameter collected by the first temperature sensor is 83 ℃, and the battery temperature parameter collected by the second temperature sensor is 52 ℃. It can be seen that 83 ℃ exceeds the first temperature threshold of 80 ℃ and 52 ℃ also exceeds the second temperature threshold of 50 ℃. Further, it is possible to determine that the battery cell corresponding to the first temperature sensor is in an abnormal state, and to determine that the abnormal state is specifically a thermal runaway state.
In the implementation process, whether the current battery monomer is in an abnormal state or not is judged by combining the temperature of the current battery monomer and the temperatures of the adjacent battery monomers, and the abnormal state is determined to be a thermal runaway state under the condition that the current battery monomer is judged to be abnormal. The accuracy of detecting whether thermal runaway occurs in the battery is improved. And further, corresponding measures are taken according to the detection result, so that the probability of abnormality of the battery is further reduced.
Referring to fig. 5, fig. 5 is a second specific flowchart of step S240 in the method for detecting abnormal battery according to the present application. In some alternative embodiments, the sensor set may further comprise a second temperature sensor for acquiring an ambient temperature parameter of the environment in which the battery is located. The detection parameters may include a battery temperature parameter acquired by the first temperature sensor and an ambient temperature parameter acquired by the second temperature sensor.
Accordingly, step S240 may include:
Step S244: and calculating a comprehensive temperature parameter T z according to the battery temperature parameter and the environment temperature parameter.
Step S245: and judging whether the integrated temperature parameter T z exceeds a third temperature threshold.
If it is determined that the integrated temperature parameter T z exceeds the third temperature threshold, step S246 is performed: and judging that the battery cell corresponding to the first temperature sensor is in an abnormal state, and determining that the abnormal state is a thermal runaway state.
The calculation mode of the integrated temperature parameter T z may include the following modes:
Wherein, T z represents the comprehensive temperature parameter, T h represents the compensation temperature parameter, which is determined according to the material of the battery and the environmental condition of the battery, and T d represents the battery temperature parameter measured by the temperature sensor at a certain moment. T c represents a temperature difference between the battery temperature parameter and the ambient temperature parameter.
In the above steps, there is heat transfer in the case of a temperature difference, and heat is usually transferred from the higher temperature to the lower temperature, and the compensation temperature parameter is usually used to correct the physical quantity measurement error caused by the temperature change.
In the implementation process, by calculating the comprehensive temperature parameter and judging whether the battery is in an abnormal state according to whether the comprehensive temperature parameter is too high, compared with a scheme of judging whether the battery is in an abnormal state directly according to whether the temperature of the battery monomer is too high, the temperature of the battery, the ambient temperature and the difference between the battery and the battery are comprehensively considered. Furthermore, the accuracy of detecting the battery is further improved by acquiring the temperature parameter detected by the sensor and comprehensively analyzing the temperature parameter. And finally, adopting corresponding measures according to the detection result, so that the probability of abnormality of the battery is further reduced.
In some alternative embodiments, the compensation temperature parameter T h is calculated as follows:
Wherein K s represents the air heat conductivity of the environment in which the battery is located, S represents the surface area of the environment in which the battery is located, K d represents the heat conductivity of the material of the battery surface, A represents the contact area of the battery with the environment in which the battery is located, Representing an ambient temperature parameter, T s' represents an adjacent ambient temperature parameter detected prior to being spaced from the detected ambient temperature parameter by a predetermined time.
The temperature difference T c between the battery temperature and the ambient temperature is:
The preset time interval may be a period of the second temperature sensor for collecting the ambient temperature, or may be a period of the second temperature sensor for collecting the ambient temperature according to control set by a person skilled in the art according to requirements. Based on this, T s may specifically represent the current ambient temperature parameter, and T s' may specifically represent the last detected ambient temperature parameter adjacent to the current ambient temperature parameter.
In the implementation process, the compensation temperature parameter is calculated by comprehensively considering the factors of air heat conductivity, the surface area of the environment where the battery is located, the heat conductivity of the material on the surface of the battery and the contact area of the battery with the environment where the battery is located, so that the thermal behavior of the battery under the actual working condition is better reflected. Furthermore, the accuracy of detecting the battery is further improved. And finally, adopting corresponding measures according to the detection result, and further reducing the probability of abnormality of the battery.
In some alternative embodiments, the sensor group may further include at least one of a voltage sensor and a current sensor.
That is, the sensor group may further include a voltage sensor or a current sensor, or both of the voltage sensor and the current sensor, on the basis that the sensor group described in the foregoing embodiment includes a temperature sensor.
In the implementation process, battery information beyond temperature, such as internal resistance change, voltage abnormality and the like of the battery, is provided through the voltage sensor and/or the current sensor. The state of the battery is detected from multiple dimensions, and the accuracy of detecting the battery is further improved. And finally, adopting corresponding measures according to the detection result, so that the probability of abnormality of the battery is further reduced.
Referring to fig. 6, fig. 6 is a third specific flowchart of step S240 in the method for detecting abnormal battery according to the present application. In some alternative embodiments, where the sensor set may include a first temperature sensor and a voltage sensor, the detected parameter may include a battery temperature parameter collected by the first temperature sensor and a voltage parameter collected by the voltage sensor.
Accordingly, step S240 may include:
Step S247: and judging whether the battery temperature parameter acquired by the current first temperature sensor exceeds a first temperature threshold value or not, and judging whether the voltage parameter exceeds a voltage threshold value or not.
If it is determined that the battery temperature parameter collected by the current first temperature sensor exceeds the first temperature threshold and the voltage parameter exceeds the voltage threshold, step S248 is executed: and judging that the battery is in an abnormal state, and determining that the abnormal state is an overcharged state.
That is, in the case where the battery temperature parameter and the voltage parameter exceed the first temperature threshold and the current threshold, respectively, it is determined that the battery is in an abnormal state, and it is further determined that the abnormal state is an overcharged state.
In the implementation process, whether the battery is in an abnormal state or not is specifically judged by combining the battery temperature parameter and the overcharge parameter, and the battery is judged to be in an overcharge state under the condition that the battery temperature parameter and the overcharge parameter exceed the corresponding threshold values. And the detection and identification of the other abnormal state of the battery are realized. Further improving the accuracy of detecting the battery. And finally, adopting corresponding measures according to the detection result, so that the probability of abnormality of the battery is further reduced.
Referring to fig. 7, fig. 7 is a fourth specific flowchart of step S240 in the method for detecting abnormal battery according to the present application. In some alternative embodiments, where the sensor set may include a first temperature sensor and a current sensor, the sensed parameter may include a battery temperature parameter collected by the first temperature sensor and a current parameter collected by the current sensor.
Accordingly, step S240 may include:
step S249: and judging whether the battery temperature parameter acquired by the current first temperature sensor exceeds a first temperature threshold value or not, and judging whether the current parameter exceeds a current threshold value or not.
If it is determined that the battery temperature parameter collected by the current first temperature sensor exceeds the first temperature threshold, and if it is determined that the current parameter exceeds the current threshold, step S2410 is executed: and judging that the battery is in an abnormal state, and determining that the abnormal state is a short circuit state.
That is, in the case where the battery temperature parameter and the current parameter respectively exceed the first temperature threshold value and the current threshold value, it is determined that the battery is in an abnormal state, and it is further determined that the abnormal state is a short-circuit state.
In the implementation process, whether the battery is in an abnormal state or not is specifically judged by combining the battery temperature parameter and the current parameter, and the battery is judged to be in a short circuit state under the condition that the battery temperature parameter and the current parameter exceed the corresponding threshold values. The detection and identification of another abnormal state of the battery are also realized. Further improving the accuracy of detecting the battery. And finally, adopting corresponding measures according to the detection result, so that the probability of abnormality of the battery is further reduced.
Referring to fig. 8, fig. 8 is a schematic diagram of a battery abnormality detection device 800 according to the present application. Based on the same concept, the detection apparatus 800 for battery abnormality provided in the embodiment of the present application may include: sensor group 810 and controller 820.
The sensor group 810 may be disposed in the battery according to the number of battery cells of the battery, the shape of the battery cells, and the material of the battery cells.
The controller 820 may be used to obtain the detected parameters of the battery acquired by the sensor group 810; and judging whether the battery is in an abnormal state or not according to the detection parameters.
The sensor set 810 may include a number of first temperature sensors. The battery may include a plurality of sequentially arranged battery cells.
Accordingly, the arrangement of the number of first temperature sensors may include the following arrangement:
Acquiring the total number of the battery cells, the actual thickness of the battery cells in the arrangement direction and the theoretical thickness of the battery cells;
Determining the arrangement mode of a plurality of first temperature sensors according to a calculation formula N=int [1+ (P-1) ×α×M ] +int [1+ (L-L 0)/max(L,L0) ]; wherein N represents the number of battery cells of each two first temperature sensors; int [ ] represents a rounding operation; p represents the contact thermal conductivity of the cell surface; m represents the total number of the battery monomers; alpha represents the consideration parameter of the total number of the battery cells, the range of the consideration parameter is (0, 1), L represents the actual thickness of the battery cells, and L 0 represents the theoretical thickness of the battery cells.
In some alternative embodiments, the detected parameter may include a battery temperature parameter acquired by the first temperature sensor.
Accordingly, in determining whether the battery is in an abnormal state according to the detection parameter, the controller 820 may specifically be configured to: judging whether the battery temperature parameter acquired by the current first temperature sensor exceeds a first temperature threshold value or not; if the battery temperature parameter acquired by the current first temperature sensor exceeds the first temperature threshold, further judging whether the battery temperature parameter acquired by the first temperature sensor adjacent to the current first temperature sensor exceeds the second temperature threshold; wherein the first temperature threshold is greater than the second temperature threshold; and if the battery temperature parameter acquired by the first temperature sensor adjacent to the current first temperature sensor exceeds the second temperature threshold, judging that the battery cell corresponding to the current first temperature sensor is in an abnormal state, and determining that the abnormal state is a thermal runaway state.
In some alternative embodiments, the sensor set 810 may also include a second temperature sensor that may be used to collect an ambient temperature parameter of the environment in which the battery is located. The detection parameters may include a battery temperature parameter acquired by the first temperature sensor and an ambient temperature parameter acquired by the second temperature sensor.
Accordingly, in determining whether the battery is in an abnormal state according to the detection parameter, the controller 820 may specifically be configured to: calculating a comprehensive temperature parameter T z according to the battery temperature parameter and the environment temperature parameter; judging whether the comprehensive temperature parameter T z exceeds a third temperature threshold; if the comprehensive temperature parameter T z is judged to exceed the third temperature threshold, judging that the battery cell corresponding to the first temperature sensor is in an abnormal state, and determining that the abnormal state is a thermal runaway state; the calculation mode of the integrated temperature parameter T z may include the following modes:
Wherein, T z represents the comprehensive temperature parameter, T h represents the compensation temperature parameter, which is determined according to the material of the battery and the environmental condition of the battery, and T d represents the battery temperature parameter measured by the temperature sensor at a certain moment; t c represents a temperature difference between the battery temperature parameter and the ambient temperature parameter.
In some alternative embodiments, the compensation temperature parameter T h is calculated as follows:
Wherein K s represents the air heat conductivity of the environment in which the battery is located, S represents the surface area of the environment in which the battery is located, K d represents the heat conductivity of the material of the surface of the battery, A represents the contact area of the battery with the environment in which the battery is located, T S represents an ambient temperature parameter, and T s' represents an adjacent ambient temperature parameter detected before a predetermined time from the detected ambient temperature parameter T S.
The temperature difference T c between the battery temperature and the ambient temperature is:
In some alternative embodiments, the sensor set 810 may also include at least one of a voltage sensor and a current sensor.
In some alternative embodiments, where the sensor set 810 may include a first temperature sensor and a voltage sensor, the sensed parameters may include a battery temperature parameter collected by the first temperature sensor and a voltage parameter collected by the voltage sensor.
Accordingly, in determining whether the battery is in an abnormal state according to the detection parameter, the controller 820 may specifically be configured to: judging whether the temperature parameter of the battery acquired by the current first temperature sensor exceeds a first temperature threshold value or not, and judging whether the voltage parameter exceeds a voltage threshold value or not; if the temperature parameter of the battery acquired by the current first temperature sensor exceeds the first temperature threshold value and the voltage parameter exceeds the voltage threshold value, the battery is judged to be in an abnormal state, and the abnormal state is determined to be in an overcharged state.
In some alternative embodiments, where the sensor set 810 may include a first temperature sensor and a current sensor, the sensed parameters may include a battery temperature parameter collected by the first temperature sensor and a current parameter collected by the current sensor.
Accordingly, in determining whether the battery is in an abnormal state according to the detection parameter, the controller 820 may specifically be configured to: judging whether the battery temperature parameter acquired by the current first temperature sensor exceeds a first temperature threshold value or not, and judging whether the current parameter exceeds a current threshold value or not; if the temperature parameter of the battery acquired by the current first temperature sensor exceeds the first temperature threshold value, and the current parameter exceeds the current threshold value, the battery is judged to be in an abnormal state, and the abnormal state is determined to be in a short circuit state.
It should be understood that, the apparatus corresponds to the above embodiment of the method for detecting battery abnormality, and is capable of executing the steps involved in the above embodiment of the method, and specific functions of the apparatus may be referred to the above description, and detailed descriptions thereof are omitted herein as appropriate to avoid redundancy. The device may include at least one software functional module that may be stored in memory in the form of software or firmware (firmware) or cured in an Operating System (OS) of the device.
Referring to fig. 9, fig. 9 is a schematic diagram of an electronic device provided by the present application. Based on the same conception, the present application provides an electronic device 900, which electronic device 900 may comprise a memory 911, a memory controller 912, a processor 913, a peripheral interface 914, an input-output unit 915, a display unit 916. It will be appreciated by those of ordinary skill in the art that the configuration shown in fig. 9 is merely illustrative and is not intended to limit the configuration of the electronic device 900. For example, electronic device 900 may also include more or fewer components than shown in FIG. 9, or have a different configuration than shown in FIG. 9.
The above-mentioned memory 911, memory controller 912, processor 913, peripheral interface 914, input/output unit 915 and display unit 916 are electrically connected directly or indirectly to each other to realize data transmission or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The processor 913 is configured to execute the executable module stored in the memory.
The Memory 911 may be, but is not limited to, a random access Memory (Random Access Memory, RAM), a Read Only Memory (ROM), a programmable Read Only Memory (Programmable Read-Only Memory, PROM), an erasable Read Only Memory (Erasable Programmable Read-Only Memory, EPROM), an electrically erasable Read Only Memory (Electric Erasable Programmable Read-Only Memory, EEPROM), etc. The memory 911 is used for storing a program, and the processor 913 executes the program after receiving an execution instruction, so that the method executed by the electronic device 900 defined by the process disclosed in the present application can be applied to the processor 913 or implemented by the processor 913.
The processor 913 may be an integrated circuit chip having signal processing capabilities. The processor 913 may be a general-purpose processor, including a central processor (Central Processing Unit, CPU for short), a network processor (Network Processor, NP for short), etc.; but also digital signal processors (DIGITAL SIGNAL processors, DSPs for short), application specific integrated circuits (Application SpecificIntegrated Circuit, ASICs for short), field Programmable Gate Arrays (FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. The disclosed methods, steps, and logic blocks in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The above-described peripheral interface 914 couples various input/output devices to the processor 913 and the memory 911. In some embodiments, the peripheral interface 914, the processor 913, and the memory controller 912 may be implemented in a single chip. In other examples, they may be implemented by separate chips.
The input-output unit 915 described above is used to provide input data to a user. The input-output unit 915 may be, but is not limited to, a mouse, a keyboard, and the like.
The display unit 916 provides an interactive interface (e.g., a user interface) between the electronic device 900 and a user or is used to display image data to a user reference. In an embodiment of the present application, the display unit may be a liquid crystal display or a touch display. In the case of a touch display, the touch display may be a capacitive touch screen or a resistive touch screen, etc. supporting single-point and multi-point touch operations. Supporting single-point and multi-point touch operations means that the touch display can sense touch operations simultaneously generated from one or more positions on the touch display, and the sensed touch operations are passed to the processor for calculation and processing.
The electronic device 900 in the embodiment of the present application may be used to perform each step in each method provided in the embodiment of the present application.
Based on the same conception, the present application also provides a storage medium including a computer-readable storage medium. The computer readable storage medium has stored thereon a computer program which, when run by a processor, performs the method as above.
The computer readable storage medium may be implemented by any type or combination of volatile or non-volatile Memory devices, such as static random access Memory (Static Random Access Memory, SRAM for short), electrically erasable Programmable Read-Only Memory (ELECTRICALLY ERASABLE PROGRAMMABLE READ-Only Memory, EEPROM for short), erasable Programmable Read-Only Memory (Erasable Programmable Read Only Memory, EPROM for short), programmable Read-Only Memory (PROM for short), read-Only Memory (ROM for short), magnetic Memory, flash Memory, magnetic disk, or optical disk.
The present application also provides a storage medium comprising a computer readable storage medium. The computer readable storage medium has stored thereon a computer program which, when run by a processor, performs the method as above.
The computer readable storage medium may be implemented by any type or combination of volatile or non-volatile Memory devices, such as static random access Memory (Static Random Access Memory, SRAM for short), electrically erasable Programmable Read-Only Memory (ELECTRICALLY ERASABLE PROGRAMMABLE READ-Only Memory, EEPROM for short), erasable Programmable Read-Only Memory (Erasable Programmable Read Only Memory, EPROM for short), programmable Read-Only Memory (PROM for short), read-Only Memory (ROM for short), magnetic Memory, flash Memory, magnetic disk, or optical disk.
In summary, according to the method, the device and the storage medium for detecting the battery abnormality, the sensor is arranged according to the number, the shape and the materials of the battery monomers, so that the battery is detected, and the accuracy of detecting the battery is improved. And further, corresponding measures are taken according to the detection result, so that the probability of abnormality of the battery is reduced. According to the calculation formula provided by the application, the number of the battery monomers spaced between every two first temperature sensors in the first temperature sensors is calculated, so that the rationality of the layout of the first temperature sensors is further improved, and the accuracy of detecting the battery is further improved. And judging whether the current battery monomer is in an abnormal state or not by combining the temperature of the current battery monomer and the temperatures of the adjacent battery monomers, and determining that the abnormal state is in particular a thermal runaway state under the condition of judging that the current battery monomer is abnormal, thereby further reducing the occurrence probability of the battery abnormality. The compensation temperature parameter is calculated by comprehensively considering the factors of air heat conductivity, the surface area of the environment where the battery is positioned, the heat conductivity of the surface material of the battery and the contact area of the battery with the environment where the battery is positioned, the comprehensive temperature is calculated according to the compensation temperature, whether the battery is in an abnormal state or not is judged according to whether the comprehensive temperature parameter is too high, and the probability of abnormality of the battery is also further reduced.
In the embodiments of the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. The apparatus embodiments described above are merely illustrative, for example, of the flowcharts and block diagrams in the figures that illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, the functional modules in the embodiments of the present application may be integrated together to form a single part, or each module may exist alone, or two or more modules may be integrated to form a single part.
The foregoing description is merely an optional implementation of the embodiment of the present application, but the scope of the embodiment of the present application is not limited thereto, and any person skilled in the art may easily think about changes or substitutions within the technical scope of the embodiment of the present application, and the changes or substitutions are covered by the scope of the embodiment of the present application.
Claims (8)
1. A method for detecting battery abnormality, comprising:
Acquiring detection parameters of the battery acquired by a sensor group; wherein the sensor group is arranged according to the number of the battery cells of the battery, the shape of the battery cells and the materials of the battery cells; and
Judging whether the battery is in an abnormal state or not according to the detection parameters;
Wherein the sensor group comprises a plurality of first temperature sensors; the battery comprises a plurality of battery monomers which are arranged in sequence;
the arrangement of the plurality of first temperature sensors comprises the following arrangement modes:
acquiring the total number of the battery cells, the actual thickness of the battery cells in the arrangement direction and the theoretical thickness of the battery cells;
Determining the arrangement mode of the first temperature sensors according to a calculation formula N=int [1+ (P-1) ×α×M ] +int [1+ (L-L 0)/max(L,L0) ]; wherein N represents the number of battery cells of the battery cells spaced between each two first temperature sensors of the plurality of first temperature sensors; int [ ] represents a rounding operation; p represents the contact thermal conductivity of the cell surface; m represents the total number of the battery monomers; alpha represents the consideration parameter of the total number of the battery cells, the value range of the consideration parameter is (0, 1), L represents the actual thickness of the battery cells, and L 0 represents the theoretical thickness of the battery cells;
wherein the detection parameters comprise battery temperature parameters acquired by a first temperature sensor;
And judging whether the battery is in an abnormal state according to the detection parameters, wherein the method comprises the following steps:
judging whether the battery temperature parameter acquired by the current first temperature sensor exceeds a first temperature threshold value or not;
If the battery temperature parameter acquired by the current first temperature sensor exceeds the first temperature threshold, further judging whether the battery temperature parameter acquired by the first temperature sensor adjacent to the current first temperature sensor exceeds the second temperature threshold; wherein the first temperature threshold is greater than a second temperature threshold;
And if the battery temperature parameter acquired by the first temperature sensor adjacent to the current first temperature sensor exceeds the second temperature threshold, judging that the battery cell corresponding to the current first temperature sensor is in an abnormal state, and determining that the abnormal state is a thermal runaway state.
2. The method of claim 1, wherein the sensor set further comprises a second temperature sensor for acquiring an ambient temperature parameter of an environment in which the battery is located; the detection parameters comprise battery temperature parameters acquired by the first temperature sensor and environment temperature parameters acquired by the second temperature sensor;
And judging whether the battery is in an abnormal state according to the detection parameters, wherein the method comprises the following steps:
Calculating a comprehensive temperature parameter T z according to the battery temperature parameter and the environment temperature parameter;
judging whether the comprehensive temperature parameter T z exceeds a third temperature threshold;
If the comprehensive temperature parameter T z is judged to exceed a third temperature threshold, judging that the battery cell corresponding to the first temperature sensor is in an abnormal state, and determining that the abnormal state is a thermal runaway state;
The calculation mode of the comprehensive temperature parameter T z comprises the following modes:
wherein T z represents the integrated temperature parameter; t h denotes a compensation temperature parameter, which is determined according to the material of the battery and the environmental condition in which the battery is located; t d denotes a battery temperature parameter measured by the temperature sensor at a certain time; t c represents a temperature difference between the battery temperature parameter T d and the ambient temperature parameter.
3. The method according to claim 2, wherein the compensation temperature parameter T h is calculated as follows:
Wherein K s represents the air heat conductivity of the environment in which the battery is located, S represents the surface area of the environment in which the battery is located, K d represents the heat conductivity of the material of the surface of the battery, A represents the contact area of the battery with the environment in which the battery is located, T S represents an ambient temperature parameter, and T s' represents an adjacent ambient temperature parameter detected before a predetermined time from the detected ambient temperature parameter T S.
4. The method of claim 1, wherein the sensor set further comprises at least one of a voltage sensor and a current sensor.
5. The method of claim 4, wherein, in the case where the sensor group includes a first temperature sensor and a voltage sensor, the detection parameters include a battery temperature parameter acquired by the first temperature sensor and a voltage parameter acquired by the voltage sensor;
And judging whether the battery is in an abnormal state according to the detection parameters, wherein the method comprises the following steps:
Judging whether the temperature parameter of the battery acquired by the current first temperature sensor exceeds a first temperature threshold value or not, and judging whether the voltage parameter exceeds a voltage threshold value or not;
if the temperature parameter of the battery acquired by the current first temperature sensor exceeds a first temperature threshold value and the voltage parameter exceeds a voltage threshold value, the battery is judged to be in an abnormal state, and the abnormal state is determined to be in an overcharged state.
6. The method of claim 4, wherein, in the case where the sensor group includes a first temperature sensor and a current sensor, the detection parameters include a battery temperature parameter acquired by the first temperature sensor and a current parameter acquired by the current sensor;
And judging whether the battery is in an abnormal state according to the detection parameters, wherein the method comprises the following steps:
Judging whether the current battery temperature parameter acquired by the first temperature sensor exceeds a first temperature threshold value or not, and judging whether the current parameter exceeds a current threshold value or not;
And if the battery temperature parameter acquired by the current first temperature sensor exceeds the first temperature threshold value, and the current parameter exceeds the current threshold value, judging that the battery is in an abnormal state, and determining that the abnormal state is a short-circuit state.
7. A battery abnormality detection device, characterized by comprising: a sensor group and a controller;
The sensor group is arranged in the battery according to the number of the battery cells of the battery, the shapes of the battery cells and the materials of the battery cells;
The controller is used for acquiring detection parameters of the battery acquired by the sensor group; judging whether the battery is in an abnormal state or not according to the detection parameters;
Wherein the sensor group comprises a plurality of first temperature sensors; the battery comprises a plurality of battery monomers which are arranged in sequence;
the arrangement of the plurality of first temperature sensors comprises the following arrangement modes:
Acquiring the total number of the battery cells, the actual thickness of the battery cells in the arrangement direction and the theoretical thickness of the battery cells;
Determining the arrangement mode of the first temperature sensors according to a calculation formula N=int [1+ (P-1) ×α×M ] +int [1+ (L-L 0)/max(L,L0) ]; wherein N represents the number of battery cells of the battery cells spaced between each two first temperature sensors of the plurality of first temperature sensors; int [ ] represents a rounding operation; p represents the contact thermal conductivity of the cell surface; m represents the total number of the battery monomers; alpha represents the consideration parameter of the total number of the battery cells, the value range of the consideration parameter is (0, 1), L represents the actual thickness of the battery cells, and L 0 represents the theoretical thickness of the battery cells;
wherein the detection parameters comprise battery temperature parameters acquired by a first temperature sensor;
In the process of judging whether the battery is in an abnormal state according to the detection parameters, the controller is specifically configured to: judging whether the battery temperature parameter acquired by the current first temperature sensor exceeds a first temperature threshold value or not; if the battery temperature parameter acquired by the current first temperature sensor exceeds the first temperature threshold, further judging whether the battery temperature parameter acquired by the first temperature sensor adjacent to the current first temperature sensor exceeds the second temperature threshold; wherein the first temperature threshold is greater than a second temperature threshold; and if the battery temperature parameter acquired by the first temperature sensor adjacent to the current first temperature sensor exceeds the second temperature threshold, judging that the battery cell corresponding to the current first temperature sensor is in an abnormal state, and determining that the abnormal state is a thermal runaway state.
8. A storage medium, wherein the storage medium comprises a computer-readable storage medium; the computer readable storage medium has stored thereon a computer program which, when executed by a processor, performs the method according to any of claims 1 to 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410288860.3A CN117895120B (en) | 2024-03-14 | 2024-03-14 | Battery abnormality detection method, device and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410288860.3A CN117895120B (en) | 2024-03-14 | 2024-03-14 | Battery abnormality detection method, device and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117895120A CN117895120A (en) | 2024-04-16 |
| CN117895120B true CN117895120B (en) | 2024-05-17 |
Family
ID=90652044
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410288860.3A Active CN117895120B (en) | 2024-03-14 | 2024-03-14 | Battery abnormality detection method, device and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117895120B (en) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2020198269A (en) * | 2019-06-05 | 2020-12-10 | 日産自動車株式会社 | All-solid lithium ion secondary battery system, and device and method for charging all-solid lithium ion secondary battery |
| CN113036248A (en) * | 2021-05-19 | 2021-06-25 | 江苏申港锅炉有限公司 | All-solid-state lithium battery temperature control method and system for inhibiting growth of lithium dendrites |
| WO2023147890A1 (en) * | 2022-02-04 | 2023-08-10 | Eaton Intelligent Power Limited | Determining an internal battery temperature based on a determined battery temperature change over time from an initial temperature condition |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112578298B (en) * | 2019-09-29 | 2022-03-15 | 比亚迪股份有限公司 | Battery temperature estimation method, device, electronic equipment and storage medium |
-
2024
- 2024-03-14 CN CN202410288860.3A patent/CN117895120B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2020198269A (en) * | 2019-06-05 | 2020-12-10 | 日産自動車株式会社 | All-solid lithium ion secondary battery system, and device and method for charging all-solid lithium ion secondary battery |
| CN113036248A (en) * | 2021-05-19 | 2021-06-25 | 江苏申港锅炉有限公司 | All-solid-state lithium battery temperature control method and system for inhibiting growth of lithium dendrites |
| WO2023147890A1 (en) * | 2022-02-04 | 2023-08-10 | Eaton Intelligent Power Limited | Determining an internal battery temperature based on a determined battery temperature change over time from an initial temperature condition |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117895120A (en) | 2024-04-16 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11658350B2 (en) | Smart battery management systems | |
| JP6162884B2 (en) | Battery pack, control circuit, and control method | |
| CN101626087B (en) | Battery pack, information processing apparatus and charge control system | |
| CN110635182B (en) | Battery thermal runaway early warning method and device, electronic equipment and storage medium | |
| WO2020192325A1 (en) | Temperature compensation method, device having rechargeable battery, and storage medium | |
| WO2023028789A1 (en) | Temperature determination method, current threshold determination method, and battery management system | |
| WO2022057583A1 (en) | Battery charging control method and device | |
| US20240014459A1 (en) | Energy storage system, battery monitoring method, and energy storage device | |
| JP2023514285A (en) | Battery system diagnosis device and method | |
| KR20200143929A (en) | A method of diagnosing an internal abnormality of a battery cell and a battery pack using the same | |
| US20230056920A1 (en) | System and method for diagnosing abnormal state of temperature of battery cell by using bms temperature sensor | |
| CN117895120B (en) | Battery abnormality detection method, device and storage medium | |
| KR20220018832A (en) | Apparatus of detecting thermal runaway for electric vehicle | |
| CN113135115B (en) | Method and device for detecting short circuit of battery system, vehicle and storage medium | |
| JP7501976B2 (en) | Battery abnormality diagnosis device and method | |
| JP2000003732A (en) | Deteriorated battery detecting device | |
| CN117239264B (en) | Battery safety control method and device, intelligent battery and medium | |
| US20240118347A1 (en) | Method and Apparatus for Monitoring Parameter of Battery Pack, and Storage Medium | |
| EP3916880B1 (en) | Temperature-dependent resistor network for temperature anomaly monitoring in a battery system | |
| US20230305505A1 (en) | Control apparatus and control method | |
| CN214100923U (en) | CMS battery management system | |
| US20230258735A1 (en) | Battery Diagnosing Apparatus and Method | |
| US20210372861A1 (en) | Temperature-dependent resistor network for temperature anomaly monitoring in a battery system | |
| US20240201281A1 (en) | Battery Management Apparatus and Operating Method Thereof | |
| EP4386877A1 (en) | Battery pack, electrical apparatus, battery pack detection method, and computer 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 |