CN115320385A - Thermal runaway early warning method, device, equipment and storage medium of vehicle battery - Google Patents
Thermal runaway early warning method, device, equipment and storage medium of vehicle battery Download PDFInfo
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L3/00—Electric devices on electrically-propelled vehicles for safety purposes; Monitoring operating variables, e.g. speed, deceleration or energy consumption
- B60L3/0023—Detecting, eliminating, remedying or compensating for drive train abnormalities, e.g. failures within the drive train
- B60L3/0046—Detecting, eliminating, remedying or compensating for drive train abnormalities, e.g. failures within the drive train relating to electric energy storage systems, e.g. batteries or capacitors
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
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Abstract
The application relates to a thermal runaway early warning method, a device, equipment and a storage medium of a vehicle battery, wherein the early warning method comprises the following steps: acquiring the temperature of a vehicle battery within a sampling time length; acquiring the weight of the temperature according to the temperature, and acquiring an entropy value according to the weight; acquiring entropy weight according to the entropy value; acquiring a first evaluation parameter according to the weight and the entropy weight; and judging whether the temperature of each temperature acquisition point is abnormal or not according to the variation trend of the first evaluation parameter of each temperature acquisition point, and if so, judging that the vehicle battery has the risk of thermal runaway. According to the method and the device, the first evaluation parameter is set through the single parameter of the obtained temperature data to obtain the variation trend of the temperature, so that whether the thermal runaway risk exists in the vehicle battery is accurately evaluated, and the accuracy and the sensitivity of the thermal runaway early warning of the vehicle battery can be guaranteed while the energy consumption is reduced.
Description
Technical Field
The application relates to the technical field of thermal runaway early warning, in particular to a thermal runaway early warning method, device, equipment and storage medium for a vehicle battery.
Background
Vehicle batteries are commonly used in new energy electric vehicles for supplying energy to power devices of the new energy electric vehicles. In the using process of the vehicle battery, the vehicle battery has the risk of thermal runaway, and the thermal runaway of the vehicle battery has the characteristics of rapidness, acuteness and difficulty in control, so that the thermal runaway early warning on the battery is very important.
The current warning scheme for the out-of-control of the vehicle battery is characterized in that a plurality of data such as voltage, current and temperature of the battery are obtained, the obtained data are processed, a warning model is preset, and the data are analyzed according to the warning model, so that the purpose of performing the warning for the out-of-control of the vehicle battery is achieved.
However, when the thermal runaway of the vehicle battery actually occurs, the change of voltage, current or temperature is usually difficult to accurately obtain, and the sensitivity of the thermal runaway early warning is not high; and monitoring the data of voltage, current and temperature for a long time also causes the increase of energy consumption.
Disclosure of Invention
Based on the above, the application provides a thermal runaway early warning method, device, equipment and storage medium for a vehicle battery, so as to solve the problems of low sensitivity and high energy consumption of thermal runaway early warning for a vehicle-mounted battery in the prior art.
In a first aspect, the present application provides a thermal runaway early warning method for a vehicle battery, including:
acquiring the temperature of a vehicle battery within a sampling time length, wherein the temperature is acquired at m temperature acquisition points on the vehicle battery, and each temperature acquisition point acquires the temperature at n sampling moments within the sampling time length;
obtaining weights of m x n temperatures from m x n temperatures and obtaining n entropy values from m x n weights, wherein m x n weights are weights of the temperatures of each temperature acquisition point at each sampling time in the temperatures of m temperature acquisition points, and wherein n entropy values are entropy values of the m temperature acquisition points at each sampling time;
acquiring n entropy weights according to the n entropy values, wherein the n entropy weights are the entropy weights occupied by each entropy value in the n entropy values;
obtaining m first evaluation parameters according to the m × n weights and the n entropy weights, wherein the m first evaluation parameters are the first evaluation parameters of each temperature acquisition point in the sampling duration;
and judging whether the temperature of each temperature acquisition point is abnormal or not according to the variation trend of the first evaluation parameter of each temperature acquisition point, and if so, judging that the vehicle battery has the risk of thermal runaway.
In one embodiment, when the temperature of the vehicle battery within the sampling duration is obtained, m is a positive even number, and every two temperature acquisition points are correspondingly arranged on one battery module of the vehicle battery;
when m first evaluation parameters are obtained according to m × n weights and n entropy weights, m/2 second evaluation parameters are obtained according to m first evaluation parameters, wherein the m/2 second evaluation parameters are second evaluation parameters of each battery module in the sampling time length;
judging whether the temperature of each temperature acquisition point is abnormal or not according to the variation trend of the first evaluation parameter of each temperature acquisition point, if so, judging that the vehicle battery has the risk of thermal runaway, and replacing the risk with:
and judging whether the temperature of each battery module is abnormal or not according to the variation trend of the second evaluation parameter of each battery module, and if so, judging that the vehicle battery has the risk of thermal runaway.
In one embodiment, weighting m x n of the temperatures according to m x n of the temperatures and deriving n entropy values according to m x n of the weights comprises:
establishing a temperature matrix according to the temperature:
wherein, t ij Representing the temperature of the ith said temperature probe at said sampling instant represented by instant j;
converting the temperature matrix into a weight matrix of the temperature by adopting a data normalization method:
wherein p is ij Representing the weight of the temperature of the ith temperature probe in the temperatures of the m temperature probes at the sampling time represented by the time j;
obtaining n entropy values according to the m x n weight matrixes, wherein the mathematical expression of the n entropy values is as follows:
wherein e is j Representing the entropy values at said sampling instants represented by m said temperature probes at the instant j,
0≤e j ≤1。
in one embodiment, the mathematical expression for obtaining n entropy weights from n said entropy values is:
wherein, W j Representing the entropy values at the sampling instants represented by m said acquisition points at time j, over the entropy values at n sampling instantsThe occupied entropy weight.
In one embodiment, the mathematical expression of the m first evaluation parameters is obtained from the weights of m × n temperatures and the n entropy weights as:
wherein S is i And a first evaluation parameter of the ith temperature probe in the sampling time length is represented.
In one embodiment, the mathematical expression of obtaining the second evaluation parameters of m/2 battery modules according to m first evaluation parameters is as follows:
M i/2 ＝|S i -S i-1 |
wherein, i =2,4,6,8 …, M i/2 And representing the second evaluation parameter of the i/2 th battery module in the sampling time length.
In one embodiment, obtaining the temperature of the vehicle battery over a sample period comprises:
acquiring a charge status signal, wherein the charge status signal comprises one of: the vehicle battery is not charged completely, and the vehicle battery is charged completely;
and when the vehicle battery finishes charging, acquiring the temperature of the vehicle battery within the sampling time length.
In a second aspect, the present application provides a thermal runaway warning device for a vehicle battery, the thermal runaway warning device comprising:
an acquisition module configured to:
acquiring the temperature of a vehicle battery in a sampling time length, wherein the temperature is acquired at m temperature acquisition points on the vehicle battery, and in the sampling time length, each temperature acquisition point acquires the temperature at n sampling moments respectively;
a processing module configured to:
obtaining weights of m x n temperatures from m x n temperatures and obtaining n entropy values from m x n weights, wherein m x n weights are weights of the temperatures of each temperature acquisition point at each sampling time in the temperatures of m temperature acquisition points, and wherein n entropy values are entropy values of the m temperature acquisition points at each sampling time;
acquiring n entropy weights according to the n entropy values, wherein the n entropy weights are the entropy weights occupied by each entropy value in the n entropy values;
obtaining m first evaluation parameters according to the m x n weights and the n entropy weights, wherein the m first evaluation parameters are first evaluation parameters of each temperature collection point in the sampling duration;
and judging whether the temperature of each temperature acquisition point is abnormal or not according to the variation trend of the first evaluation parameter of each temperature acquisition point, and if so, judging that the vehicle battery has the risk of thermal runaway.
In a third aspect, the present application provides a computer device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor implements the steps of any one of the methods for warning of thermal runaway of a vehicle battery provided in the present application when executing the computer program.
In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, where the computer program is executed by a processor to implement the steps of any one of the methods for warning of thermal runaway of a vehicle battery provided by the present application.
According to the method and the device, the first evaluation parameter is set through the single parameter of the obtained temperature data to obtain the variation trend of the temperature, so that whether the thermal runaway risk exists in the vehicle battery is accurately evaluated, and the accuracy and the sensitivity of the thermal runaway early warning of the vehicle battery can be guaranteed while the energy consumption is reduced.
Drawings
Fig. 1 is a flowchart of a thermal runaway warning method for a vehicle battery according to an embodiment of the present disclosure;
fig. 2 is a flowchart of step S200 in a thermal runaway warning method for a vehicle battery according to an embodiment of the present disclosure;
fig. 3 is a flowchart of step S500 in a method for warning thermal runaway of a vehicle battery according to an embodiment of the present application;
fig. 4 is a flowchart of step S100 in a method for warning thermal runaway of a vehicle battery according to an embodiment of the present application
Fig. 5 is a flowchart of a thermal runaway warning method for a vehicle battery according to a second embodiment of the present application;
fig. 6 is a flowchart of step S500 in a thermal runaway warning method for a vehicle battery according to a second embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
It should be noted that the illustrations provided in the present embodiments are only schematic illustrations of the basic idea of the present invention.
The structures, proportions, sizes, and other dimensions shown in the drawings and described in the specification are for illustrative purposes only and are not intended to limit the scope of the present invention, which is defined by the appended claims.
References in this specification to "upper", "lower", "left", "right", "middle", "longitudinal", "lateral", "horizontal", "inner", "outer", "radial", "circumferential", etc., indicate orientations and positional relationships based on those shown in the drawings, and are for convenience only to simplify the description, and do not indicate or imply that the referenced device or element must have a particular orientation, be constructed and operated in a particular orientation, and thus should not be construed as limiting the present invention. Furthermore, the terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
Example one
As shown in fig. 1, an embodiment of the present application provides a thermal runaway early warning method for a vehicle battery, where the thermal runaway early warning method includes the following steps:
s100, acquiring the temperature of a vehicle battery within a sampling time length, wherein the temperature is acquired at m temperature acquisition points on the vehicle battery, and each temperature acquisition point acquires the temperature at n sampling moments within the sampling time length;
s200, obtaining weights of m x n temperatures according to m x n temperatures, and obtaining n entropy values according to m x n weights, wherein m x n weights are weights of the temperatures of each temperature collection point in m temperature collection points at each sampling time, and n entropy values are entropy values of the m temperature collection points at each sampling time;
s300, acquiring n entropy weights according to the n entropy values, wherein the n entropy weights are the entropy weights occupied by each entropy value in the n entropy values;
s400, acquiring m first evaluation parameters according to m × n weights and n entropy weights, wherein the m first evaluation parameters are first evaluation parameters of each temperature acquisition point in the sampling duration;
s500, judging whether the temperature of each temperature acquisition point is abnormal or not according to the variation trend of the first evaluation parameter of each temperature acquisition point, and if so, judging that the vehicle battery has the risk of thermal runaway.
In step S100, it is exemplarily illustrated that m temperature collection points are preset on the vehicle battery to obtain the temperature of the vehicle battery at the temperature collection points. The sampling duration may be preset as a fixed value, or may be set according to an instruction of a user, where the former is taken as an example in the present embodiment for description; in the present embodiment, the sampling period is set to 1h. The sampling instants are time nodes within a sampling duration, and the n sampling instants may be evenly distributed within the sampling duration.
As shown in fig. 2, in step S200, it is exemplarily illustrated that weights of m × n temperatures are obtained according to m × n temperatures, and n entropy values are obtained according to m × n weights, that is, step S200 specifically includes the following steps:
s201, establishing a temperature matrix according to the m x n temperatures:
wherein, t ij Representing the temperature of the ith said temperature probe at said sampling instant represented by instant j;
s202, converting the temperature matrix into a weight matrix of the temperature by adopting a data normalization method:
wherein p is ij Representing the weight of the temperature of the ith temperature probe in the temperatures of the m temperature probes at the sampling time represented by the time j;
s203, acquiring n entropy values according to the weight matrix, wherein the mathematical expression of the n entropy values is as follows:
wherein e is j Representing the entropy values at said sampling instants represented by m said temperature probes at the instant j,
0≤e j ≤1。
in more detail, in step S202, it is exemplarily illustrated that the mathematical expression for obtaining the weights of m × n temperatures from m × n temperatures is:
according to the mathematical expression, when m × n temperatures are obtained, the weights of the m × n temperatures can be obtained correspondingly.
As shown in fig. 1, in step S300, it is exemplarily illustrated that the mathematical expressions for obtaining n entropy weights from n entropy values are:
wherein, W j And the entropy weight of the entropy values of the m temperature acquisition points at the sampling time represented by the j time is represented in the entropy values of the n sampling times.
In step S400, it is exemplarily illustrated that the mathematical expression of the m first evaluation parameters obtained from the weights of the m × n temperatures and the n entropy weights is:
wherein S is i And a first evaluation parameter of the ith temperature probe in the sampling time length is represented.
As shown in FIG. 3, in step S500, it is exemplarily explained that whether there is a temperature abnormality at each of the collected temperatures according to the trend of the variation of the first evaluation parameter at each of the collected temperatures, that is, step S500 specifically comprises the following steps:
s501, obtaining m first change curves, wherein the m first change curves are change curves of the first evaluation parameter of each temperature collection point;
s502, whether the slope of a line segment where two adjacent points are located on the m first change curves exceeds a first slope threshold value or not is obtained, if yes, the situation that the temperature abnormality exists at the temperature acquisition point corresponding to the first change curve is judged, and the risk of thermal runaway of the vehicle battery exists.
It can be understood that compared to the first current thermal runaway warning method: the method comprises the following steps of carrying out thermal runaway early warning by acquiring various parameters such as voltage, current and temperature and observing the variation trend of the various parameters such as voltage, current and temperature; the method and the device only acquire the single parameter of the temperature, and can achieve the purpose of saving more energy.
Compared with the current second thermal runaway early warning method: the method comprises the following steps of carrying out thermal runaway early warning by obtaining single parameters such as voltage, current or temperature and observing the variation trend of the single parameters; according to the method and the device, the first evaluation parameter is set through the acquired temperature data so as to obtain the variation trend of the temperature, and then whether the thermal runaway risk exists in the vehicle battery is accurately evaluated, so that the accuracy and the sensitivity of the thermal runaway early warning of the vehicle battery can be guaranteed.
To sum up, this application both can guarantee to carry out the accuracy and the sensitivity low of thermal runaway early warning to on-vehicle battery, can reduce again and carry out required energy consumption when the thermal runaway early warning.
As shown in fig. 4, more specifically, the temperature of the vehicle battery in the sampling period is obtained, i.e., step S100 specifically includes the steps of:
s101, acquiring a charging state signal, wherein the charging state signal comprises one of the following: the vehicle battery is not charged completely, and the vehicle battery is charged completely;
and S102, when the vehicle battery is charged, acquiring the temperature of the vehicle battery within a sampling time length.
In step S101, it is exemplarily stated that when the battery is charged to a preset target state of charge or to a full charge state, a signal that the vehicle battery is completely charged is obtained; when the current state of charge of the vehicle battery does not reach the target state of charge or reaches the full charge state, a signal that the vehicle battery is not charged is obtained. The target state of charge may be set according to actual needs of a user of the vehicle, for example, the target state of charge is set to 99%, 95%, or 90% of the full charge state.
In step S102, it is exemplarily illustrated that the temperatures of m temperature collection points on the vehicle battery are obtained within a sampling time period (1 h in this embodiment) after the vehicle battery is charged, and the obtained temperatures are analyzed to determine whether the vehicle battery has a risk of thermal runaway.
It can be understood that if the vehicle battery has a potential risk of thermal runaway, the vehicle battery is easy to have abnormality in temperature after the charging is completed, so that the thermal runaway early warning is monitored after the vehicle battery is charged, and the accuracy and the sensitivity of the early warning can be further improved.
More specifically, the energy of the vehicle battery for the thermal runaway early warning may come from a power supply unit, for example, a charging pile electrically connected to the vehicle battery when the vehicle battery is charged, or a household power grid electrically connected to the vehicle battery, so that the situation that the state of charge of the vehicle battery is reduced when the thermal runaway early warning is performed on the vehicle battery can be avoided, and the dynamic property of the vehicle battery can be ensured.
Example two
As shown in fig. 5, a second embodiment of the present application provides a method for warning a thermal runaway of a vehicle battery, which is different from the first embodiment in at least:
when the temperature of the vehicle battery in the sampling time is obtained, m is a positive even number, and every two temperature acquisition points are correspondingly arranged on one battery module of the vehicle battery;
when m first evaluation parameters are obtained according to m × n weights and n entropy weights, m/2 second evaluation parameters are obtained according to m first evaluation parameters, wherein the m/2 second evaluation parameters are second evaluation parameters of each battery module in the sampling time length;
judging whether the temperature of each temperature acquisition point is abnormal or not according to the variation trend of the first evaluation parameter of each temperature acquisition point, if so, judging that the vehicle battery has the risk of thermal runaway, and replacing the risk with:
and judging whether the temperature of each battery module is abnormal or not according to the variation trend of the second evaluation parameter of each battery module, and if so, judging that the vehicle battery has the risk of thermal runaway.
In step S100, it is exemplarily explained that when the temperature collection points are provided on the vehicle battery, two temperature collection points are correspondingly provided on each battery module of the vehicle battery, and since the present embodiment is provided with m temperature collection points, the vehicle battery includes m/2 battery modules when m is a positive even number.
In step S400, it is exemplarily explained that the second evaluation parameter of each battery module is obtained according to the first evaluation parameters of 2 temperature collection points corresponding to each battery module, and since there are m/2 battery modules in the present embodiment, there are m/2 second evaluation parameters.
More specifically, the mathematical expression of obtaining the second evaluation parameter of m/2 battery modules from the m first evaluation parameters is as follows:
M i/2 ＝|S i -S i-1 |
wherein, i =2,4,6,8 …, M i/2 And representing the second evaluation parameter of the i/2 th battery module in the sampling time length.
i denotes the ith temperature collection point, and it can be understood that the ith and (i-1) th temperature collection points are both disposed on i/2 battery modules.
As shown in fig. 6, in step S500, it is exemplarily explained that the replaced step S500 specifically includes the following steps:
s503, obtaining m/2 second change curves, wherein the m/2 first change curves are change curves of second evaluation parameters of each battery module;
s504, whether the slope of a line segment where two adjacent points are located on m/2 second change curves exceeds a second slope threshold value or not is obtained, if yes, the situation that the temperature of the battery module corresponding to the second change curve is abnormal is judged, and the risk of thermal runaway of the vehicle battery exists.
It can be understood that, by setting the second evaluation parameter of each battery module of the vehicle battery, when it is determined that the vehicle battery has a risk of thermal runaway, it can be specifically determined which battery module of the vehicle battery has the risk of thermal runaway, so as to take measures for the vehicle battery in a targeted manner, for example, cooling the battery module having the risk of thermal runaway, and further improve the function of performing a warning of thermal runaway on the vehicle battery.
It can be further understood that, since the second evaluation parameter is obtained on the basis of the absolute value of the difference between the two first evaluation parameters, the second evaluation parameter has higher accuracy and sensitivity in determining whether the battery module has the thermal runaway risk.
EXAMPLE III
The third embodiment of the application provides a thermal runaway early warning device for a vehicle battery, which is characterized by comprising a thermal runaway early warning device;
an acquisition module configured to:
acquiring the temperature of a vehicle battery within a sampling time length, wherein the temperature is acquired at m temperature acquisition points on the vehicle battery, and each temperature acquisition point acquires the temperature at n sampling moments within the sampling time length;
a processing module configured to:
obtaining weights of m x n temperatures from m x n temperatures and obtaining n entropy values from m x n weights, wherein m x n weights are weights of the temperatures of each temperature acquisition point at each sampling time in the temperatures of m temperature acquisition points, and wherein n entropy values are entropy values of the m temperature acquisition points at each sampling time;
acquiring n entropy weights according to the n entropy values, wherein the n entropy weights are the entropy weights occupied by each entropy value in the n entropy values;
obtaining m first evaluation parameters according to the m x n weights and the n entropy weights, wherein the m first evaluation parameters are first evaluation parameters of each temperature collection point in the sampling duration;
and judging whether the temperature of each temperature acquisition point is abnormal or not according to the variation trend of the first evaluation parameter of each temperature acquisition point, and if so, judging that the vehicle battery has the risk of thermal runaway.
Example four
The fourth embodiment of the present application provides a computer device, which includes a memory, a processor, and a computer program that is stored in the memory and can be run on the processor, and when the processor executes the computer program, the steps of the thermal runaway early warning method for a vehicle battery provided in the present application are implemented.
EXAMPLE five
A fifth embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of any one of the thermal runaway warning methods for a vehicle battery provided in the present application.
Any combination of the technical features of the above embodiments may be made, and for the sake of brevity, all possible combinations of the technical features of the above embodiments are not described, however, as long as there is no contradiction between the combinations of the technical features, the scope of the present description should be considered as being described in the present specification.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A thermal runaway warning method for a vehicle battery, the thermal runaway warning method comprising:
acquiring the temperature of a vehicle battery within a sampling time length, wherein the temperature is acquired at m temperature acquisition points on the vehicle battery, and each temperature acquisition point acquires the temperature at n sampling moments within the sampling time length;
obtaining weights of m x n temperatures according to the m x n temperatures, and obtaining n entropy values according to the m x n weights, wherein the m x n weights are weights of the temperatures of each temperature acquisition point in the m temperature acquisition points at each sampling time, and the n entropy values are entropy values of the m temperature acquisition points at each sampling time;
acquiring n entropy weights according to the n entropy values, wherein the n entropy weights are the entropy weights occupied by each entropy value in the n entropy values;
obtaining m first evaluation parameters according to the m x n weights and the n entropy weights, wherein the m first evaluation parameters are first evaluation parameters of each temperature collection point in the sampling duration;
and judging whether the temperature of each temperature acquisition point is abnormal or not according to the variation trend of the first evaluation parameter of each temperature acquisition point, and if so, judging that the vehicle battery has the risk of thermal runaway.
2. The thermal runaway early warning method for the vehicle battery according to claim 1, wherein when the temperature of the vehicle battery within a sampling duration is obtained, m is a positive even number, and every two temperature acquisition points are correspondingly arranged on one battery module of the vehicle battery;
when m first evaluation parameters are obtained according to m × n weights and n entropy weights, m/2 second evaluation parameters are obtained according to m first evaluation parameters, wherein the m/2 second evaluation parameters are second evaluation parameters of each battery module in the sampling time length;
judging whether the temperature of each temperature acquisition point is abnormal or not according to the variation trend of the first evaluation parameter of each temperature acquisition point, if so, judging that the vehicle battery has the risk of thermal runaway, and replacing the risk with:
and judging whether the temperature of each battery module is abnormal or not according to the variation trend of the second evaluation parameter of each battery module, and if so, judging that the vehicle battery has the risk of thermal runaway.
3. The warning method for thermal runaway of a vehicle battery according to claim 2, wherein obtaining weights for m x n temperatures from m x n temperatures and obtaining n entropy values from m x n weights comprises:
establishing a temperature matrix according to the m x n temperatures:
wherein, t ij Representing the temperature of the ith said temperature probe at said sampling instant represented by instant j;
converting the temperature matrix into a weight matrix of the temperature by adopting a data normalization method:
wherein p is ij Representing the weight of the temperature of the ith temperature probe in the temperatures of the m temperature probes at the sampling time represented by the time j;
obtaining n entropy values according to the weight matrix, wherein the mathematical expression of the n entropy values is as follows:
wherein e is j Representing entropy values at said sampling instants represented by m of said temperature probe j instants,
4. the warning method for thermal runaway of a vehicle battery as claimed in claim 3, wherein the mathematical expression for obtaining n entropy weights from the n entropy values is:
wherein, W j And the entropy weight of the entropy values of the m temperature acquisition points at the sampling time represented by the j time is in the entropy values of the n sampling time.
5. The warning method for thermal runaway of a vehicle battery according to claim 4, wherein the mathematical expression for obtaining the m first evaluation parameters from the weights of m x n temperatures and the n entropy weights is as follows:
wherein S is i And a first evaluation parameter of the ith temperature probe in the sampling time length is represented.
6. The warning method for thermal runaway of a vehicle battery according to claim 5, wherein the mathematical expression for obtaining the second evaluation parameters of m/2 battery modules from the m first evaluation parameters is as follows:
M i/2 ＝|S i -S i-1 |
wherein i =2,4,6,8 i/2 And representing the second evaluation parameter of the i/2 th battery module in the sampling time length.
7. The warning method for the thermal runaway of the vehicle battery as claimed in claim 1, wherein acquiring the temperature of the vehicle battery within a sampling duration comprises:
acquiring a charge status signal, wherein the charge status signal comprises one of: the vehicle battery is not charged completely, and the vehicle battery is charged completely;
and when the vehicle battery finishes charging, acquiring the temperature of the vehicle battery within the sampling time length.
8. A thermal runaway warning device for a vehicle battery, comprising:
an acquisition module configured to:
acquiring the temperature of a vehicle battery within a sampling time length, wherein the temperature is acquired at m temperature acquisition points on the vehicle battery, and each temperature acquisition point acquires the temperature at n sampling moments within the sampling time length;
a processing module configured to:
obtaining weights of m x n temperatures from m x n temperatures and obtaining n entropy values from m x n weights, wherein m x n weights are weights of the temperatures of each temperature acquisition point at each sampling time in the temperatures of m temperature acquisition points, and wherein n entropy values are entropy values of the m temperature acquisition points at each sampling time;
acquiring n entropy weights according to the n entropy values, wherein the n entropy weights are the entropy weights occupied by each entropy value in the n entropy values;
obtaining m first evaluation parameters according to the m x n weights and the n entropy weights, wherein the m first evaluation parameters are first evaluation parameters of each temperature collection point in the sampling duration;
and judging whether the temperature of each temperature acquisition point is abnormal or not according to the variation trend of the first evaluation parameter of each temperature acquisition point, and if so, judging that the vehicle battery has the risk of thermal runaway.
9. A computer arrangement comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor when executing the computer program carries out the steps of the method for warning of a thermal runaway in a vehicle battery as claimed in any one of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method for warning of a thermal runaway of a vehicle battery as claimed in any one of claims 1 to 7.
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