CN116992382A - Prediction method and device for thermal runaway of power battery - Google Patents
Prediction method and device for thermal runaway of power battery Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 45
- 238000004088 simulation Methods 0.000 claims abstract description 75
- 238000012216 screening Methods 0.000 claims abstract description 14
- 238000012545 processing Methods 0.000 claims description 25
- 238000011282 treatment Methods 0.000 claims description 24
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- 238000004590 computer program Methods 0.000 claims description 3
- 239000000178 monomer Substances 0.000 abstract description 42
- 230000006870 function Effects 0.000 description 5
- HBBGRARXTFLTSG-UHFFFAOYSA-N Lithium ion Chemical compound [Li+] HBBGRARXTFLTSG-UHFFFAOYSA-N 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 238000007599 discharging Methods 0.000 description 4
- 229910001416 lithium ion Inorganic materials 0.000 description 4
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- 238000004364 calculation method Methods 0.000 description 3
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- 238000013178 mathematical model Methods 0.000 description 1
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- G06F2119/08—Thermal analysis or thermal optimisation
Abstract
The application discloses a prediction method and a device for thermal runaway of a power battery, wherein the method comprises the following steps: acquiring the voltage, capacity and internal resistance of each battery cell of the power battery; screening at least one single battery with voltage, capacity and/or internal resistance meeting preset outlier conditions; and acquiring the continuous outlier duration of at least one single battery, sending at least one battery parameter of the power battery to the server when the continuous outlier duration is longer than the preset duration, and receiving a thermal runaway threshold value obtained by the server through model simulation based on the at least one battery parameter so as to determine the actual runaway state of the heat of the power battery based on the thermal runaway threshold value. According to the embodiment of the application, after the fact that the voltage, the capacity and the internal resistance of the battery monomer are all outlier for a certain time is judged, the thermal runaway threshold value is obtained through the model simulation of the server, so that the actual runaway state of the heat of the power battery is determined, the accuracy of the thermal runaway prediction of the power battery is effectively improved, and the safety of a vehicle is improved.
Description
Technical Field
The application relates to the technical field of new energy automobiles, in particular to a prediction method and a prediction device for thermal runaway of a power battery.
Background
In recent years, the new energy automobile market rises rapidly, but the thermal safety performance of the power battery is also an important factor for preventing the market development, because of the characteristics of the lithium ion battery, a series of chained exothermic reactions can be caused when the lithium ion battery is in thermal runaway, the temperature is rapidly increased in a short time, and the structure of the lithium ion battery is irreversibly damaged, so that the prediction of the thermal runaway of the power battery has important significance.
In the related art, the change rate of an internal short circuit is estimated based on a one-dimensional linear mathematical model fitting curve of the monomer voltage, the risk of thermal runaway caused by the internal short circuit is estimated, as in patent CN114509678A, a plurality of battery monomer voltages of the same vehicle type are collected, linear fitting is performed, the slope is obtained, then the monomer with the slope outlier is screened through big data, and the thermal runaway risk of the monomer is judged.
However, in the related art, since the internal resistance of the battery cell is affected by various factors, the thermal runaway risk of the battery cell is determined by the internal short circuit of the voltage of the battery cell, the robustness of the determination result is low, the prediction accuracy of the thermal runaway of the battery is reduced, and the safety and reliability of the vehicle are reduced, so that the problem needs to be solved.
Disclosure of Invention
The application provides a prediction method and a device for thermal runaway of a power battery, which are used for solving the problems that in the related art, the internal resistance of a battery cell is influenced by various factors, so that the thermal runaway risk of the battery cell is judged through the internal short circuit of the voltage of the battery cell, the robustness of a judgment result is lower, the prediction accuracy of the thermal runaway of the battery is reduced, the safety and the reliability of a vehicle are reduced, and the like.
An embodiment of a first aspect of the present application provides a method for predicting thermal runaway of a power battery, applied to a vehicle, wherein the method includes the steps of: acquiring the voltage, capacity and internal resistance of each battery cell of the power battery; screening at least one single battery of which the voltage, the capacity and/or the internal resistance meet preset outlier conditions from the power battery; and acquiring the continuous outlier duration of the at least one single battery, sending at least one battery parameter of the power battery to a server when the continuous outlier duration is longer than a preset duration, and receiving a thermal runaway threshold value obtained by the server through model simulation based on the at least one battery parameter so as to determine the actual runaway state of the power battery based on the thermal runaway threshold value.
According to the technical means, after the fact that the voltage, the capacity and the internal resistance of the battery monomer are all separated for a certain time is judged, the thermal runaway threshold value is obtained through the model simulation of the server, and the actual runaway state of the heat of the power battery is determined based on the thermal runaway threshold value, so that the accuracy of the thermal runaway prediction of the power battery is effectively improved, and the safety of a vehicle is improved.
Optionally, in one embodiment of the present application, further includes: receiving thermal runaway treatment measures obtained by the server through model simulation based on the at least one battery parameter; and generating an optimal processing action of the power battery according to the actual runaway state and the thermal runaway processing measure, and executing the optimal processing action.
According to the technical means, the embodiment of the application can receive the thermal runaway treatment measures obtained by the simulation of the server model, execute the most effective treatment actions, effectively improve the accuracy of thermal runaway prediction and improve the safety and reliability of the vehicle.
Optionally, in an embodiment of the present application, the selecting at least one unit cell from the power cells, where the voltage, the capacity, and/or the internal resistance meet a preset outlier condition, includes: taking the voltage, the capacity and the internal resistance at the same moment as samples respectively to perform a positive-Ethernet distribution test to obtain a test result; under the condition that the test result meets the distribution of the positive power, calculating a distribution parameter of the positive power, and determining at least one single battery according to the distribution parameter of the positive power; and determining the at least one single battery according to the maximum value and the minimum value of the sample under the condition that the test result does not meet the positive distribution.
According to the technical means, the embodiment of the application can perform the positive too distribution test to judge whether the single battery is out of group, thereby effectively improving the executability of the early warning of the thermal runaway of the power battery.
An embodiment of the second aspect of the present application provides a prediction method for thermal runaway of a power battery, which is applied to a server, wherein the method includes the following steps: receiving at least one battery parameter of a power battery sent by a vehicle; performing model simulation according to the at least one battery parameter to obtain a simulation result; and obtaining a thermal runaway threshold according to the simulation result, and sending the thermal runaway threshold to the vehicle.
According to the technical means, the embodiment of the application can perform model simulation according to the battery parameters of the power battery, obtain the thermal runaway threshold of the power battery, and send the thermal runaway threshold to the vehicle, so that the robustness of thermal runaway prediction is effectively improved.
Optionally, in one embodiment of the present application, further includes: and obtaining a thermal runaway treatment measure according to the simulation result, and sending the thermal runaway treatment measure to the vehicle.
According to the technical means, the thermal runaway treatment measures can be sent to the vehicle, so that the safety and reliability of the vehicle are improved.
An embodiment of a third aspect of the present application provides a power battery management system, including: the acquisition module is used for acquiring the voltage, the capacity and the internal resistance of each battery cell of the power battery; the screening module is used for screening at least one single battery of which the voltage, the capacity and/or the internal resistance meet preset outlier conditions from the power battery; the processing module is used for acquiring the continuous outlier duration of the at least one single battery, sending at least one battery parameter of the power battery to the server when the continuous outlier duration is longer than a preset duration, and receiving a thermal runaway threshold obtained by the server through model simulation based on the at least one battery parameter so as to determine the actual runaway state of the power battery based on the thermal runaway threshold.
Optionally, in one embodiment of the present application, further includes: the receiving module is used for receiving thermal runaway treatment measures obtained by the server through model simulation based on the at least one battery parameter; and the generating module is used for generating the optimal processing action of the power battery according to the actual runaway state and the thermal runaway processing measure and executing the optimal processing action.
Optionally, in one embodiment of the present application, the screening module includes: the acquisition unit is used for taking the voltage, the capacity and the internal resistance at the same moment as samples respectively so as to carry out the positive-Ethernet distribution test to obtain a test result; the processing unit is used for calculating a positive distribution parameter and determining at least one single battery according to the positive distribution parameter under the condition that the test result meets the positive distribution; and the determining unit is used for determining the at least one single battery according to the maximum value and the minimum value of the sample under the condition that the test result does not meet the positive too distribution.
An embodiment of a fourth aspect of the application provides a vehicle comprising a power battery management system as described above.
An embodiment of a fifth aspect of the present application provides a prediction apparatus for thermal runaway of a power battery, including: the receiving module is used for receiving at least one battery parameter of the power battery sent by the vehicle; the simulation module is used for carrying out model simulation according to the at least one battery parameter to obtain a simulation result; and the sending module is used for obtaining a thermal runaway threshold according to the simulation result and sending the thermal runaway threshold to the vehicle.
Optionally, in one embodiment of the present application, the prediction apparatus for thermal runaway of a power battery further includes: and the acquisition module is used for obtaining thermal runaway treatment measures according to the simulation result and sending the thermal runaway treatment measures to the vehicle.
An embodiment of the sixth aspect of the present application provides a server including the prediction apparatus of thermal runaway of a power battery as described above.
An embodiment of the seventh aspect of the present application provides a computer-readable storage medium storing a computer program which, when executed by a processor, implements the method of predicting thermal runaway of a power battery as above.
The application has the beneficial effects that:
(1) The embodiment of the application can receive the thermal runaway treatment measures obtained by the simulation of the server model, and execute the most processing actions, thereby effectively improving the accuracy of the thermal runaway prediction and improving the safety and reliability of the vehicle.
(2) According to the embodiment of the application, the model simulation can be performed according to the battery parameters of the power battery, the thermal runaway threshold of the power battery is obtained and sent to the vehicle, so that the robustness of thermal runaway prediction is effectively improved.
(3) According to the embodiment of the application, after the fact that the voltage, the capacity and the internal resistance of the battery monomer are all outlier for a certain time is judged, the thermal runaway threshold is obtained through the model simulation of the server, and the actual runaway state of the heat of the power battery is determined based on the thermal runaway threshold, so that the accuracy of the thermal runaway prediction of the power battery is effectively improved, and the safety of a vehicle is improved.
Additional aspects and advantages of the application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the application.
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The foregoing and/or additional aspects and advantages of the application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings, in which:
fig. 1 is a flowchart of a method for predicting thermal runaway of a power battery according to an embodiment of the present application;
FIG. 2 is a flowchart of another method for predicting thermal runaway of a power cell according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a power battery management system according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a prediction apparatus for thermal runaway of a power battery according to an embodiment of the present application.
Wherein, 10-power battery management system; a 100-acquisition module, a 200-screening module and a 300-processing module; a prediction device for thermal runaway of the power battery; 400-receiving module, 500-simulating module and 600-transmitting module.
Detailed Description
Embodiments of the present application are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative and intended to explain the present application and should not be construed as limiting the application.
The following describes a prediction method and apparatus for thermal runaway of a power battery according to an embodiment of the present application with reference to the accompanying drawings. Aiming at the problems that in the related art mentioned in the background technology center, the thermal runaway risk of a battery cell is judged through the internal short circuit of the battery cell voltage, the robustness of a judging result is low, the prediction accuracy of the thermal runaway of the battery is reduced, and the safety and reliability of a vehicle are reduced, the application provides a prediction method of the thermal runaway of the power battery, in the method, single batteries with the voltage, the capacity and/or the internal resistance meeting the outlier condition of each power battery can be screened, when the continuous outlier time of the single batteries is longer than a certain period of time, the battery parameters of the power battery are sent to a server, and the thermal runaway threshold value obtained by the server based on the battery parameters through model simulation is received, so that the actual runaway state of the thermal runaway of the power battery is determined based on the thermal runaway threshold value, the prediction accuracy of the thermal runaway of the battery is effectively improved, and the safety and reliability of the vehicle are improved. Therefore, the problems that in the related art, the thermal runaway risk of the battery cell is judged through the internal short circuit of the voltage of the battery cell, the robustness of a judging result is low, the prediction accuracy of the thermal runaway of the battery is reduced, the safety of a vehicle is reduced and the like are solved.
Specifically, fig. 1 is a schematic flow chart of a method for predicting thermal runaway of a power battery according to an embodiment of the present application.
As shown in fig. 1, the prediction method of thermal runaway of the power battery is applied to a vehicle and comprises the following steps:
in step S101, the voltage, capacity, and internal resistance of each battery cell of the power battery are acquired.
It can be understood that the vehicle in the embodiment of the application can acquire the voltage, the capacity and the internal resistance of each battery cell of the power battery, thereby effectively improving the executability of the thermal runaway prediction of the power battery.
It should be noted that the capacity of the monomer and the internal resistance of the monomer may be calculated from the vehicle end, and are not specifically described herein.
In step S102, at least one single battery whose voltage, capacity and/or internal resistance satisfy preset outlier conditions is selected from the power batteries.
It can be understood that the vehicle in the embodiment of the application can screen at least one single battery with voltage, capacity and/or internal resistance meeting preset outlier conditions from the power batteries in the following steps, so that the accuracy of power battery prediction is effectively improved.
Optionally, in one embodiment of the present application, screening at least one single battery with voltage, capacity and/or internal resistance satisfying preset outlier conditions from the power battery includes: taking the voltage, the capacity and the internal resistance at the same moment as samples respectively to perform a positive-Ethernet distribution test to obtain a test result; under the condition that the test result meets the distribution of the positive power, calculating a distribution parameter of the positive power, and determining at least one single battery according to the distribution parameter of the positive power; and determining at least one single battery according to the maximum value and the minimum value of the sample under the condition that the test result does not meet the positive too distribution.
For example, in the vehicle in the embodiment of the application, the monomer voltage at the same moment is taken as a sample, the forward distribution test is performed, when the monomer voltage meets the forward distribution, forward distribution parameters mu and sigma are calculated, wherein mu is a monomer voltage sample average value, sigma is a standard deviation, after parameter calculation is completed, a monomer with the monomer voltage lower than mu-3 sigma or higher than mu+3 sigma is taken as an "outlier" monomer, the corresponding monomer state is output as 1, when the monomer voltage does not meet the forward distribution, the monomer voltage maximum and minimum are taken as the "outlier" monomer, and the corresponding monomer state is output as 1.
For another example, in the vehicle according to the embodiment of the present application, the monomer capacity at the same time may be used as a sample, and the forward distribution parameters μ and σ may be calculated when the monomer capacity satisfies the forward distribution, where μ is an average value of the monomer capacity samples, σ is a standard deviation, after the parameter calculation is completed, the monomer with the monomer capacity lower than μ -3σ or higher than μ+3σ is used as an "outlier" monomer, the corresponding monomer state is output as 1, and when the monomer capacity does not satisfy the forward distribution, the monomer capacity maximum and minimum are used as the "outlier" monomer, and the corresponding monomer state is output as 1.
For another example, the vehicle in the embodiment of the application may take the internal resistance of the monomer at the same moment as a sample, perform the positive distribution test, calculate the positive distribution parameters μ and σ when the internal resistance of the monomer satisfies the positive distribution, where μ is the average value of the internal resistance samples of the monomer, σ is the standard deviation, take the monomer with the internal resistance of less than μ -3σ or higher than μ+3σ as an "outlier" monomer after the parameter calculation is completed, output the corresponding monomer state as 1, and take the maximum value and the minimum value of the internal resistance of the monomer as the "outlier" monomer when the internal resistance of the monomer does not satisfy the positive distribution, and output the corresponding monomer state as 1.
In summary, the vehicle in the embodiment of the application can screen the single batteries with the voltage, the capacity and the internal resistance of each single battery being separated at the same moment, thereby effectively improving the accuracy of the prediction of the power battery.
In step S103, a continuous outlier duration of at least one single battery is obtained, and when the continuous outlier duration is longer than a preset duration, at least one battery parameter of the power battery is sent to the server, and a thermal runaway threshold obtained by performing model simulation based on the at least one battery parameter by the server is received, so that an actual runaway state of heat of the power battery is determined based on the thermal runaway threshold.
It may be understood that, in the vehicle in the embodiment of the present application, when the voltage, the capacity and the internal resistance of the single battery at the same time in the above steps are all 1, that is, the single battery that is all out of control, a risk flag bit is output as 1, and a duration of the single battery is obtained, for example, when the risk flag bit is 1 and lasts for a certain period of time, a battery parameter of the power battery is sent to the server, and a thermal runaway threshold value obtained by performing model simulation based on the battery parameter by the server may be received, so that a thermal actual runaway state of the power battery, such as a thermal runaway state or a non-runaway state of the power battery, is determined based on the thermal runaway threshold value, thereby improving the prediction accuracy of the thermal runaway of the battery and improving the safety of the vehicle.
Optionally, in one embodiment of the present application, further includes: receiving thermal runaway treatment measures obtained by the server through model simulation based on at least one battery parameter; and generating an optimal processing action of the power battery according to the actual runaway state and the thermal runaway processing measures, and executing the optimal processing action.
As a possible implementation manner, the vehicle receiving server in the embodiment of the application carries out model simulation based on battery parameters, obtains thermal runaway treatment measures, generates optimal treatment actions of the power battery according to the actual runaway state and the thermal runaway treatment measures, and executes the optimal treatment actions, thereby improving the accuracy of battery thermal runaway prediction, improving the reliability of the vehicle and meeting the vehicle requirements of users.
According to the prediction method for thermal runaway of the power battery, provided by the embodiment of the application, the single batteries with voltage, capacity and/or internal resistance meeting the outlier condition of each power battery can be screened, when the continuous outlier time of the single battery is longer than a certain period of time, the battery parameters of the power battery are sent to the server, and the thermal runaway threshold value obtained by the server through model simulation based on the battery parameters is received, so that the actual thermal runaway state of the power battery is determined based on the thermal runaway threshold value, the prediction accuracy of the thermal runaway of the battery is effectively improved, and the safety and reliability of a vehicle are improved. Therefore, the problems that in the related art, the thermal runaway risk of the battery cell is judged through the internal short circuit of the voltage of the battery cell, the robustness of a judging result is low, the prediction accuracy of the thermal runaway of the battery is reduced, the safety of a vehicle is reduced and the like are solved.
And, as shown in fig. 2, fig. 2 is a schematic flow chart of another prediction method for thermal runaway of a power battery according to an embodiment of the present application.
As shown in fig. 2, the prediction method of thermal runaway of the power battery is applied to a server, and comprises the following steps:
in step S201, at least one battery parameter of a power battery transmitted by a vehicle is received.
It can be understood that the server in the embodiment of the application can receive at least one battery parameter of the power battery sent by the vehicle in the above steps, thereby effectively improving the executability of the thermal runaway prediction of the power battery.
In step S202, a model simulation is performed according to at least one battery parameter, so as to obtain a simulation result.
It can be understood that the server in the embodiment of the application can perform model simulation according to at least one battery parameter, for example, the server can perform power battery model construction, firstly, the model 3D structure is reasonably simplified by referring to the actual battery pack structure, the 3D model is subjected to grid division by adopting a finite element method, material properties are given to a box body, an anode, a cathode, a diaphragm and the like, the accuracy of electrochemical and thermodynamic process simulation parameters is ensured, the simulation precision is improved, secondly, the simulation model can be applied in a platformization manner, and a battery pack with the same battery core and structure is suitable for the same 3D model.
And then, after the multi-physical-field simulation 3D model is built, the electrochemical characteristics and the heat conduction characteristics are analyzed to determine the boundary conditions and the initial conditions of the model, wherein parameters and boundary conditions required by the model can be obtained through methods such as data manual inquiry, calibration experiments and parameter identification, and parameters such as heat transfer characteristics of materials required by a battery temperature field have small changes along with time and use conditions, the parameters can be determined in advance through methods such as design experiments and parameter identification, and parameters in the electrochemical physical field such as diffusion coefficients of lithium ions in electrolyte, internal resistance of the battery, reaction rate coefficients and the like can be calibrated according to the characteristics of the battery core.
In addition, the server can verify the accuracy of the simulation of the model according to the real-time voltage and temperature of the single battery uploaded by the vehicle, when the simulation result has deviation, the simulation accuracy is improved by improving model parameters or correcting the simulation result, and when the simulation accuracy meets the requirement, the charging and discharging thresholds under different SOCs (states of Charge) are used as inputs (the charging and discharging thresholds are consistent with the preset thresholds of the vehicle), and the heat generation and the single temperature of the single battery under different simulation working conditions are output, so that the simulation accuracy is improved.
In step S203, a thermal runaway threshold is obtained from the simulation result, and the thermal runaway threshold is sent to the vehicle.
It can be understood that the server in the embodiment of the application can obtain the thermal runaway threshold according to the simulation result and send the thermal runaway threshold to the vehicle, for example, when the highest temperature of the monomer reaches the thermal runaway threshold of 60 ℃, the battery has thermal runaway risk, and the battery can further limit the charging/discharging current and the power under the working condition and then send the charging/discharging current and the power to the vehicle as the threshold.
Optionally, in one embodiment of the present application, further includes: and obtaining a thermal runaway treatment measure according to the simulation result, and sending the thermal runaway treatment measure to the vehicle.
In the actual execution process, the server in the embodiment of the application can obtain the thermal runaway treatment measure according to the simulation result and send the thermal runaway treatment measure to the vehicle, thereby effectively improving the accuracy of the thermal runaway prediction of the power battery and improving the driving experience of the user.
The thermal runaway treatment means is set by those skilled in the art according to the actual situation, and is not particularly limited herein.
According to the prediction method for the thermal runaway of the power battery, which is provided by the embodiment of the application, at least one battery parameter of the power battery sent by the vehicle can be received, so that model simulation is performed, a simulation result is obtained, a thermal runaway threshold value is obtained according to the simulation result, and the thermal runaway threshold value is sent to the vehicle, thereby effectively improving the accuracy of the thermal runaway prediction of the power battery and improving the driving experience of a user.
Next, a power battery management system according to an embodiment of the present application will be described with reference to the accompanying drawings.
Fig. 3 is a block schematic diagram of a power battery management system according to an embodiment of the present application.
As shown in fig. 3, the power battery management system 10 includes: an acquisition module 100, a screening module 200 and a processing module 300.
Specifically, the acquiring module 100 is configured to acquire a voltage, a capacity, and an internal resistance of each battery cell of the power battery.
And the screening module 200 is configured to screen at least one single battery with voltage, capacity and/or internal resistance satisfying preset outlier conditions from the power batteries.
The processing module 300 is configured to obtain a duration of the continuous outlier of the at least one single battery, send at least one battery parameter of the power battery to the server when the duration of the continuous outlier is longer than a preset duration, and receive a thermal runaway threshold obtained by performing model simulation by the server based on the at least one battery parameter, so as to determine an actual runaway state of heat of the power battery based on the thermal runaway threshold.
Optionally, in one embodiment of the present application, the power battery management system 10 further includes: a receiving module and a generating module.
The receiving module is used for receiving thermal runaway treatment measures obtained by the server through model simulation based on at least one battery parameter.
And the generating module is used for generating the optimal processing action of the power battery according to the actual runaway state and the thermal runaway processing measures and executing the optimal processing action.
Optionally, in one embodiment of the present application, the screening module 200 includes: an acquisition unit, a processing unit and a determination unit.
The acquisition unit is used for taking the voltage, the capacity and the internal resistance at the same moment as samples respectively so as to carry out the positive-Ethernet distribution test to obtain a test result.
And the processing unit is used for calculating the distribution parameter of the positive power under the condition that the test result meets the distribution of the positive power, and determining at least one single battery according to the distribution parameter of the positive power.
And the determining unit is used for determining at least one single battery according to the maximum value and the minimum value of the sample under the condition that the test result does not meet the positive too distribution.
It should be noted that the foregoing explanation of the embodiment of the method for predicting thermal runaway of a power battery is also applicable to the device for predicting thermal runaway of a power battery of this embodiment, and will not be repeated here.
According to the power battery management system provided by the embodiment of the application, single batteries with voltage, capacity and/or internal resistance meeting the outlier condition of each power battery can be screened, when the continuous outlier time of the single battery is longer than a certain period of time, battery parameters of the power battery are sent to the server, and a thermal runaway threshold value obtained by the server through model simulation based on the battery parameters is received, so that the actual thermal runaway state of the power battery is determined based on the thermal runaway threshold value, the prediction accuracy of the thermal runaway of the battery is effectively improved, and the safety and reliability of a vehicle are improved. Therefore, the problems that in the related art, the thermal runaway risk of the battery cell is judged through the internal short circuit of the voltage of the battery cell, the robustness of a judging result is low, the prediction accuracy of the thermal runaway of the battery is reduced, the safety of a vehicle is reduced and the like are solved.
In addition, the embodiment of the application further comprises a vehicle, wherein the vehicle can screen out single batteries with voltage, capacity and/or internal resistance meeting the outlier condition of each power battery, and when the continuous outlier time of the single batteries is longer than a certain period of time, the single batteries send battery parameters of the power batteries to the server, and receive a thermal runaway threshold value obtained by the server through model simulation based on the battery parameters, so that the actual runaway state of the heat of the power batteries is determined based on the thermal runaway threshold value, the prediction accuracy of the thermal runaway of the batteries is effectively improved, and the safety and reliability of the vehicle are improved. Therefore, the problems that in the related art, the thermal runaway risk of the battery cell is judged through the internal short circuit of the voltage of the battery cell, the robustness of a judging result is low, the prediction accuracy of the thermal runaway of the battery is reduced, the safety of a vehicle is reduced and the like are solved.
And, fig. 3 is a block schematic diagram of a prediction apparatus of thermal runaway of a power battery according to an embodiment of the present application.
As shown in fig. 3, the prediction apparatus 20 of thermal runaway of a power battery includes: a receiving module 400, a simulation module 500 and a transmitting module 600.
Specifically, the receiving module 400 is configured to receive at least one battery parameter of the power battery sent by the vehicle.
The simulation module 500 is configured to perform model simulation according to at least one battery parameter, so as to obtain a simulation result.
And the sending module 600 is used for obtaining the thermal runaway threshold according to the simulation result and sending the thermal runaway threshold to the vehicle.
Optionally, in one embodiment of the present application, the prediction apparatus 20 for thermal runaway of a power battery further includes: and an acquisition module.
The acquisition module is used for obtaining thermal runaway treatment measures according to simulation results and sending the thermal runaway treatment measures to the vehicle.
It should be noted that the foregoing explanation of the embodiment of the method for predicting thermal runaway of a power battery is also applicable to the device for predicting thermal runaway of a power battery of this embodiment, and will not be repeated here.
According to the prediction device for thermal runaway of the power battery, provided by the embodiment of the application, at least one battery parameter of the power battery sent by the vehicle can be received, so that model simulation is performed, a simulation result is obtained, a thermal runaway threshold value is obtained according to the simulation result, the thermal runaway threshold value is sent to the vehicle, the accuracy of the thermal runaway prediction of the power battery is effectively improved, and the driving experience of a user is improved.
In addition, the embodiment of the application further comprises a server which can receive at least one battery parameter of the power battery sent by the vehicle, so that model simulation is carried out, a simulation result is obtained, a thermal runaway threshold value is obtained according to the simulation result, the thermal runaway threshold value is sent to the vehicle, the accuracy of the thermal runaway prediction of the power battery is effectively improved, and the driving experience of a user is improved.
Embodiments of the present application also provide a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method of predicting thermal runaway of a power cell as described above.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or N embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present application, "N" means at least two, for example, two, three, etc., unless specifically defined otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and additional implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order from that shown or discussed, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present application.
Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or N wires, a portable computer cartridge (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer readable medium may even be paper or other suitable medium on which the program is printed, as the program may be electronically captured, via optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It is to be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the N steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, may be implemented using any one or combination of the following techniques, as known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
Those of ordinary skill in the art will appreciate that all or a portion of the steps carried out in the method of the above-described embodiments may be implemented by a program to instruct related hardware, where the program may be stored in a computer readable storage medium, and where the program, when executed, includes one or a combination of the steps of the method embodiments.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing module, or each unit may exist alone physically, or two or more units may be integrated in one module. The integrated modules may be implemented in hardware or in software functional modules. The integrated modules may also be stored in a computer readable storage medium if implemented in the form of software functional modules and sold or used as a stand-alone product.
The above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, or the like. While embodiments of the present application have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the application, and that variations, modifications, alternatives and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the application.
Claims (10)
1. A method for predicting thermal runaway of a power battery, for application to a vehicle, wherein the method comprises the steps of:
acquiring the voltage, capacity and internal resistance of each battery cell of the power battery;
screening at least one single battery of which the voltage, the capacity and/or the internal resistance meet preset outlier conditions from the power battery; and
and acquiring the continuous outlier duration of the at least one single battery, sending at least one battery parameter of the power battery to a server when the continuous outlier duration is longer than a preset duration, and receiving a thermal runaway threshold value obtained by the server through model simulation based on the at least one battery parameter so as to determine the actual runaway state of the power battery based on the thermal runaway threshold value.
2. The method as recited in claim 1, further comprising:
receiving thermal runaway treatment measures obtained by the server through model simulation based on the at least one battery parameter;
and generating an optimal processing action of the power battery according to the actual runaway state and the thermal runaway processing measure, and executing the optimal processing action.
3. The method according to claim 1, wherein said screening at least one cell from said power cells for which said voltage, said capacity and/or said internal resistance meet a preset outlier condition comprises:
taking the voltage, the capacity and the internal resistance at the same moment as samples respectively to perform a positive-Ethernet distribution test to obtain a test result;
under the condition that the test result meets the distribution of the positive power, calculating a distribution parameter of the positive power, and determining at least one single battery according to the distribution parameter of the positive power;
and determining the at least one single battery according to the maximum value and the minimum value of the sample under the condition that the test result does not meet the positive distribution.
4. A method for predicting thermal runaway of a power battery, applied to a server, wherein the method comprises the steps of:
receiving at least one battery parameter of a power battery sent by a vehicle;
performing model simulation according to the at least one battery parameter to obtain a simulation result; and
and obtaining a thermal runaway threshold according to the simulation result, and sending the thermal runaway threshold to the vehicle.
5. The method as recited in claim 4, further comprising:
and obtaining a thermal runaway treatment measure according to the simulation result, and sending the thermal runaway treatment measure to the vehicle.
6. A power battery management system, comprising:
the acquisition module is used for acquiring the voltage, the capacity and the internal resistance of each battery cell of the power battery;
the screening module is used for screening at least one single battery of which the voltage, the capacity and/or the internal resistance meet preset outlier conditions from the power battery; and
the processing module is used for acquiring the continuous outlier duration of the at least one single battery, sending at least one battery parameter of the power battery to the server when the continuous outlier duration is longer than a preset duration, and receiving a thermal runaway threshold obtained by the server through model simulation based on the at least one battery parameter so as to determine the actual runaway state of the power battery based on the thermal runaway threshold.
7. A vehicle, characterized by comprising: the power battery management system of claim 6.
8. A prediction apparatus for thermal runaway of a power battery, comprising:
the receiving module is used for receiving at least one battery parameter of the power battery sent by the vehicle;
the simulation module is used for carrying out model simulation according to the at least one battery parameter to obtain a simulation result; and
and the sending module is used for obtaining a thermal runaway threshold according to the simulation result and sending the thermal runaway threshold to the vehicle.
9. A server, comprising: the prediction apparatus for thermal runaway of a power cell according to claim 8.
10. A computer-readable storage medium having stored thereon a computer program, characterized in that the program is executed by a processor for realizing the prediction method of thermal runaway of a power cell according to any one of claims 1-3 or 4-5.
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