CN117239264A

CN117239264A - Battery safety control method and device, intelligent battery and medium

Info

Publication number: CN117239264A
Application number: CN202311514993.XA
Authority: CN
Inventors: 祝琴妹; 黄石生; 王永兴; 张柏光
Original assignee: Shenzhen Baiku New Energy Co ltd
Current assignee: Shenzhen Baiku New Energy Co ltd
Priority date: 2023-11-15
Filing date: 2023-11-15
Publication date: 2023-12-15
Anticipated expiration: 2043-11-15
Also published as: CN117239264B

Abstract

The application relates to the technical field of safety control, in particular to a safety control method and device of a battery, an intelligent battery and a medium, wherein the method comprises the following steps: and performing charge and discharge behavior diagnosis based on historical charge and discharge data, performing deformation diagnosis based on multi-azimuth images, and performing thermal runaway analysis based on temperature change information. Furthermore, battery safety detection is performed based on the behavior diagnosis result, the deformation diagnosis result and the thermal runaway analysis result, so that various factors are integrated, and safety detection information is more accurate and comprehensive. Furthermore, emergency treatment is performed on the battery based on the safety detection information, so that safety control of the battery is realized. The emergency treatment is carried out based on accurate and comprehensive safety detection information, so that the occurrence rate of accidents is reduced to a certain extent, and the use safety of the battery is improved.

Description

Battery safety control method and device, intelligent battery and medium

Technical Field

The application relates to the technical field of safety control, in particular to a safety control method and device for a battery, an intelligent battery and a medium.

Background

With the increasing maturity of battery technology, energy storage batteries are widely applied to various products in multiple fields, and meanwhile, public attention is also drawn to the safety of the energy storage batteries.

In the related art, in order to ensure the safe use of the energy storage battery, the safety condition of the energy storage battery is determined by collecting the working parameters of the battery, and emergency treatment is performed when the battery is abnormal, wherein the working parameters at least include: battery current, battery voltage, and battery capacity. However, the safety condition determined based on the operating parameters is not accurate enough, and further, the emergency treatment for determining the low-accuracy safety condition cannot well solve the dangerous condition of the energy storage battery, so that the safety of the battery is low.

Thus, how to improve the safety of battery use is a problem to be solved by those skilled in the art.

Disclosure of Invention

The application aims to provide a battery safety control method, a battery safety control device, an intelligent battery and a medium, which are used for solving at least one technical problem.

The above object of the present application is achieved by the following technical solutions: in a first aspect, the present application provides a method for controlling safety of a battery, which adopts the following technical scheme:

a safety control method of a battery, comprising:

acquiring historical charge and discharge data of a battery, and performing charge and discharge behavior diagnosis based on the historical charge and discharge data to obtain a behavior diagnosis result;

Acquiring a multi-azimuth image of the battery, and performing deformation diagnosis based on the multi-azimuth image to obtain a deformation diagnosis result;

acquiring temperature change information of the battery, and performing thermal runaway analysis based on the temperature change information to obtain a thermal runaway analysis result;

performing battery safety detection based on the behavior diagnosis result, the deformation diagnosis result and the thermal runaway analysis result to obtain safety detection information of the battery;

and carrying out emergency treatment on the battery based on the safety detection information so as to realize safety control on the battery.

By adopting the technical scheme, the charge and discharge behavior diagnosis is performed based on the historical charge and discharge data, the behavior diagnosis result is obtained, the deformation diagnosis is performed based on the multi-azimuth image, the deformation diagnosis result is obtained, the thermal runaway analysis is performed based on the temperature change information, and the thermal runaway analysis result is obtained. Furthermore, battery safety detection is performed based on the behavior diagnosis result, the deformation diagnosis result and the thermal runaway analysis result, so that multiple factors influencing the safety of the battery are integrated, the safety detection information of the battery is more accurate and comprehensive, and the accuracy of the safety detection information is improved. Furthermore, emergency treatment is performed on the battery based on the safety detection information, so that safety control of the battery is realized. The emergency treatment is carried out based on accurate and comprehensive safety detection information, so that the occurrence rate of accidents is reduced to a certain extent, and the use safety of the battery is improved.

The present application may be further configured in a preferred example to: the safety detection information includes at least one of a charge-discharge behavior abnormality, a deformation abnormality and a temperature abnormality,

the emergency treatment of the battery based on the safety detection information comprises the following steps:

when the safety detection information comprises charge and discharge behavior abnormality, carrying out abnormality behavior analysis based on the historical charge and discharge data to obtain at least one abnormality behavior, determining a first emergency measure corresponding to the charge and discharge behavior abnormality by utilizing the corresponding relation between the abnormality and the emergency measure and the at least one abnormality behavior corresponding to the charge and discharge behavior abnormality, and carrying out emergency treatment according to the first emergency measure;

when the safety detection information comprises deformation abnormality, acquiring target gas concentration information of a battery, determining battery damage condition based on the target gas concentration information, a target gas concentration threshold value and the multi-azimuth image, determining a second emergency measure corresponding to the deformation abnormality by utilizing the corresponding relation between the abnormality and the emergency measure and the battery damage condition corresponding to the deformation abnormality, and carrying out emergency treatment according to the second emergency measure;

when the safety detection information comprises temperature abnormality, determining a temperature abnormality grade based on the temperature change information, determining a third emergency measure corresponding to the temperature abnormality by utilizing the corresponding relation between abnormality and emergency measure and the temperature abnormality grade corresponding to the temperature abnormality, and carrying out emergency treatment according to the third emergency measure.

The present application may be further configured in a preferred example to: the historical charge and discharge data includes: charge duration, charge power, charge temperature, discharge voltage minimum,

the step of analyzing the abnormal behavior based on the historical charge and discharge data to obtain at least one abnormal behavior, and determining a first emergency measure corresponding to the charge and discharge behavior abnormality by using the corresponding relation between the abnormality and the emergency measure and the at least one abnormal behavior corresponding to the charge and discharge behavior abnormality comprises the following steps:

performing abnormal behavior analysis based on each item of data in the historical charge and discharge data to obtain at least one abnormal behavior corresponding to the historical charge and discharge data, wherein the abnormal behavior comprises: overcharging, overdischarging, abnormal charging temperature and high-rate charging;

determining a first emergency measure corresponding to the abnormal charge and discharge behavior by utilizing the corresponding relation between the abnormal charge and discharge behavior and the at least one abnormal behavior corresponding to the abnormal charge and discharge behavior, wherein the first emergency measure comprises at least one emergency operation, and the emergency operation comprises: controlling the charging time length, adjusting the charging temperature, controlling the charging power and carrying out abnormal discharge early warning.

The present application may be further configured in a preferred example to: the determining the battery damage condition based on the target gas concentration information, the target gas concentration threshold value and the multi-azimuth image, and determining the second emergency measure corresponding to the deformation abnormality by using the corresponding relation between the abnormality and the emergency measure and the battery damage condition corresponding to the deformation abnormality comprises:

performing battery deformation diagnosis based on the multi-azimuth image to obtain a deformation area;

determining deformation emergency measures based on the corresponding relation among the deformation area, the abnormality and the emergency measures;

based on the target gas concentration data in the target gas concentration information and the target gas concentration threshold value, comparing the sizes of the target gas concentration data and the target gas concentration threshold value, and obtaining a battery damage result;

determining a damage emergency measure corresponding to the battery damage result based on the corresponding relation among the battery damage result, the abnormality and the emergency measure;

wherein the battery damage condition includes the deformation diagnosis result and the battery damage result, and the second emergency measure includes the deformation emergency measure and the damage emergency measure.

The present application may be further configured in a preferred example to: the determining a temperature abnormality level based on the temperature change information, and determining a third emergency measure corresponding to the temperature abnormality by using the correspondence between abnormality and emergency measure and the temperature abnormality level corresponding to the temperature abnormality, including:

Determining a current temperature and a temperature change rate of the battery based on the temperature change information, and determining a temperature abnormality level based on the current temperature and the temperature change rate;

when the temperature abnormality grade is the first abnormality, determining a third emergency measure corresponding to the temperature abnormality as liquid cooling constant temperature treatment by utilizing the corresponding relation between the abnormality and the emergency measure, wherein the current temperature of the battery can be maintained at the optimal working temperature through the liquid cooling constant temperature treatment;

when the temperature abnormality grade is the second abnormality, determining a third emergency measure corresponding to the temperature abnormality as forced cooling treatment by utilizing the corresponding relation between the abnormality and the emergency measure, wherein the current temperature of the battery can be reduced to a temperature threshold value through the forced cooling treatment;

when the temperature abnormality level is a third abnormality, determining the third emergency measure corresponding to the temperature abnormality as an isolation process by using the correspondence between the abnormality and the emergency measure, wherein the thermal runaway of the battery can be limited in an isolated space through the isolation process.

The present application may be further configured in a preferred example to: when the third emergency measure is an isolation treatment,

after the emergency treatment according to the third emergency measure, the method further comprises:

Acquiring a target battery module corresponding to a third abnormal battery, and acquiring temperature influence information of each target battery in the target battery module, wherein the target battery module comprises a plurality of batteries;

carrying out heating influence analysis based on the temperature influence information of each target battery to obtain a heating influence result;

and determining an emergency heat insulation measure of the target battery module based on the heating influence result, and controlling an execution device corresponding to the emergency heat insulation measure to perform emergency treatment so as to realize safety control of the battery.

The present application may be further configured in a preferred example to: further comprises:

performing multidimensional detection on the battery to obtain the health state of the battery, wherein the multidimensional detection comprises: battery leakage current detection, battery resistance detection and battery capacity detection, the health state includes: detecting a corresponding detection result in each dimension;

and carrying out battery life diagnosis based on detection results corresponding to each dimension of detection in the health state, and sending out alarm information if the battery life diagnosis result is the end of life.

In a second aspect, the present application provides a safety control device for a battery, which adopts the following technical scheme:

A safety control device of a battery, comprising:

the first acquisition module is used for acquiring historical charge and discharge data of the battery, and diagnosing charge and discharge behaviors based on the historical charge and discharge data to obtain a behavior diagnosis result;

the second acquisition module is used for acquiring a multi-azimuth image of the battery, and performing deformation diagnosis based on the multi-azimuth image to obtain a deformation diagnosis result;

the third acquisition module is used for acquiring temperature change information of the battery and carrying out thermal runaway analysis based on the temperature change information to obtain a thermal runaway analysis result;

the safety detection module is used for carrying out battery safety detection based on the behavior diagnosis result, the deformation diagnosis result and the thermal runaway analysis result to obtain safety detection information of the battery;

and the emergency processing module is used for carrying out emergency processing on the battery based on the safety detection information so as to realize the safety control of the battery.

In a third aspect, the present application provides an intelligent battery, which adopts the following technical scheme:

at least one processor;

a memory;

at least one application program, wherein the at least one application program is stored in the memory and configured to be executed by the at least one processor, the at least one application program configured to: the safety control method of the battery described above is performed.

In a fourth aspect, the present application provides a computer readable storage medium, which adopts the following technical scheme:

a computer-readable storage medium having stored thereon a computer program which, when executed in a computer, causes the computer to execute the above-described battery safety control method.

In summary, the present application includes at least one of the following beneficial technical effects:

and performing charge and discharge behavior diagnosis based on the historical charge and discharge data to obtain a behavior diagnosis result, performing deformation diagnosis based on the multi-azimuth image to obtain a deformation diagnosis result, and performing thermal runaway analysis based on the temperature change information to obtain a thermal runaway analysis result. Furthermore, battery safety detection is performed based on the behavior diagnosis result, the deformation diagnosis result and the thermal runaway analysis result, so that multiple factors influencing the safety of the battery are integrated, and the safety detection information of the battery is more accurate and comprehensive. Furthermore, emergency treatment is performed on the battery based on the safety detection information, so that safety control of the battery is realized. The emergency treatment is carried out based on accurate and comprehensive safety detection information, so that the occurrence rate of accidents is reduced to a certain extent, and the use safety of the battery is improved.

Based on the current temperature and the temperature change rate, determining a temperature abnormality level, determining a third emergency measure of the first abnormality as liquid cooling constant temperature treatment by utilizing the corresponding relation between the abnormality and the emergency measure, determining a third emergency measure of the second abnormality as forced cooling treatment, and determining a third emergency measure of the third abnormality as isolation treatment. The application adopts the corresponding third emergency measure based on different stages of temperature rise, and enhances the protection of the battery to a certain extent so as to avoid the danger of the battery and larger loss.

Drawings

Fig. 1 is a flow chart illustrating a method for controlling safety of a battery according to an embodiment of the present application;

FIG. 2 is a flow chart of determining a set of emergency actions according to one embodiment of the application;

FIG. 3 is a schematic flow chart of a third emergency measure corresponding to a determined abnormal temperature according to an embodiment of the present application;

fig. 4 is a schematic structural view of a safety control device for a battery according to an embodiment of the present application;

fig. 5 is a schematic structural diagram of an intelligent battery according to an embodiment of the present application.

Detailed Description

The present application is described in further detail below in conjunction with fig. 1-5.

The present embodiment is merely illustrative of the present application and is not intended to limit the present application, and those skilled in the art, after having read the present specification, may make modifications to the present embodiment without creative contribution as necessary, but are protected by patent laws within the scope of the present application.

For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.

In addition, the term "and/or" herein is merely an association relationship describing an association object, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone. In this context, unless otherwise specified, the term "/" generally indicates that the associated object is an "or" relationship.

Embodiments of the application are described in further detail below with reference to the drawings.

The embodiment of the application provides a battery safety control method, which is executed by an intelligent battery, as shown in fig. 1, and comprises the steps of S101, S102, S103, S104 and S105, wherein:

Step S101: and acquiring historical charge and discharge data of the battery, and diagnosing charge and discharge behaviors based on the historical charge and discharge data to obtain a behavior diagnosis result.

For the embodiment of the application, many influencing factors influencing the safety of the battery are provided, and among the influencing factors, the charging and discharging behaviors of the battery are important influencing factors, and the battery is greatly damaged by the poor charging behaviors, for example, lithium dendrites, SEI film growth, electrode deformation, copper dendrites, binder failure, SEI film decomposition and active material decomposition are carried out on the lithium battery, so that the use safety of the battery is influenced. The historical charge and discharge data at least comprises: the minimum value of the charging time length, the charging power, the charging temperature and the discharging voltage can also comprise: the embodiment of the application is not limited by the specific information items of the historical charge and discharge data. And then, carrying out charge and discharge behavior diagnosis on the historical charge and discharge data to obtain a behavior diagnosis result, namely, pre-storing an information threshold corresponding to each item of data in the historical charge and discharge data in the intelligent battery, comparing the historical charge and discharge data with the corresponding information threshold, and determining that the behavior diagnosis result is abnormal if at least one item of data is abnormal, or determining that the diagnosis result is normal.

Step S102: and acquiring a multi-azimuth image of the battery, and performing deformation diagnosis based on the multi-azimuth image to obtain a deformation diagnosis result.

For the embodiment of the application, during the use process of the battery, the battery often generates deformation, which may be caused by external forces such as extrusion and collision, or may be caused by swelling of the battery due to abnormal behaviors, however, for a lithium battery, the battery deformation is usually accompanied by cracking of lithium dendrites and separator, so as to affect the use safety of the battery. Furthermore, the application performs deformation diagnosis based on the multi-azimuth image of the battery, namely, the application compares the multi-azimuth image of the battery with the standard multi-azimuth image to determine whether the battery has deformation condition, if the battery has deformation condition, the deformation diagnosis result is determined to be abnormal, otherwise, the deformation diagnosis result is determined to be normal.

Step S103: and acquiring temperature change information of the battery, and performing thermal runaway analysis based on the temperature change information to obtain a thermal runaway analysis result.

For the embodiment of the application, the service temperature of the battery is an important influence factor among a plurality of influence factors, and the battery is greatly damaged due to the higher temperature, for example, for a lithium battery, SEI film decomposition, binder failure, electrolyte decomposition, active material decomposition and diaphragm large-scale failure affect the service safety of the battery. Thus, the application performs a thermal runaway analysis based on temperature change information, that is, based on a comparison between the temperature change information and a temperature change threshold, to obtain a thermal runaway analysis result, wherein the temperature change information at least includes: temperature change rate, temperature data at each time. There are various ways of thermal runaway analysis, and the embodiment of the application is not limited any more, for example, in one case, the intelligent battery presets a temperature maximum value, when the temperature data in the temperature change information is higher than the temperature maximum value, the thermal runaway analysis result is determined to be abnormal, otherwise, the thermal runaway analysis result is determined to be normal. In another case, the intelligent battery presets a change rate threshold, when the temperature change rate in the temperature change information is higher than the change rate threshold, the result of the thermal runaway analysis is determined to be abnormal, otherwise, the result of the thermal runaway analysis is determined to be normal.

Step S104: and performing battery safety detection based on the behavior diagnosis result, the deformation diagnosis result and the thermal runaway analysis result to obtain safety detection information of the battery.

For the embodiment of the application, when the battery safety detection is carried out, the behavior diagnosis result, the deformation diagnosis result and the thermal runaway analysis result are integrated, namely, various factors influencing the battery safety are integrated, so that the battery safety detection information is more accurate and comprehensive. The security detection information includes at least: the charge and discharge behavior is abnormal, the deformation is abnormal, and the temperature is abnormal, and of course, the case where the battery is normal is also included.

Step S105: and carrying out emergency treatment on the battery based on the safety detection information so as to realize safety control on the battery.

It can be seen that, in the embodiment of the application, the charge and discharge behavior diagnosis is performed based on the historical charge and discharge data, the behavior diagnosis result is obtained, the deformation diagnosis is performed based on the multi-azimuth image, the deformation diagnosis result is obtained, the thermal runaway analysis is performed based on the temperature change information, and the thermal runaway analysis result is obtained. Furthermore, battery safety detection is performed based on the behavior diagnosis result, the deformation diagnosis result and the thermal runaway analysis result, so that multiple factors influencing the safety of the battery are integrated, and the safety detection information of the battery is more accurate and comprehensive. Furthermore, emergency treatment is performed on the battery based on the safety detection information, so that safety control of the battery is realized. The emergency treatment is carried out based on accurate and comprehensive safety detection information, so that the occurrence rate of accidents is reduced to a certain extent, and the use safety of the battery is improved.

Further, in order to greatly reduce the probability of dangerous situations of the battery and reduce the casualties of materials and personnel, in the embodiment of the present application, as shown in fig. 2, the safety detection information includes: at least one of charge-discharge behavior abnormality, deformation abnormality and temperature abnormality,

emergency treatment is carried out on the battery based on the safety detection information, and the emergency treatment method comprises the following steps: step S1051 to step S1053, wherein:

step S1051: when the safety detection information comprises charge and discharge behavior abnormality, performing abnormality behavior analysis based on historical charge and discharge data to obtain at least one abnormality behavior, determining a first emergency measure corresponding to the charge and discharge behavior abnormality by utilizing the corresponding relation between the abnormality and the emergency measure and at least one abnormality behavior corresponding to the charge and discharge behavior abnormality, and performing emergency treatment according to the first emergency measure.

For the embodiment of the application, because the danger of the battery is caused by multiple types of abnormalities, and different emergency treatment measures are adopted for different types of abnormal conditions, the emergency measure which is highly matched with each dangerous type information item is determined based on each dangerous type information item, so that the probability of dangerous conditions of the battery is greatly reduced, and the casualties of materials and personnel are reduced.

Specifically, when the safety detection information includes abnormal charge and discharge behaviors, it indicates that the battery has abnormal behaviors in the use process, so that the abnormal behaviors are analyzed based on historical charge and discharge data to obtain at least one abnormal behavior, where the abnormal behaviors at least include: overcharge, overdischarge, abnormal charge temperature, and high-rate charge. And then, determining emergency operation corresponding to each abnormal behavior by utilizing the corresponding relation between the abnormality and the emergency measures, finally integrating all the emergency operations to obtain a first emergency measure corresponding to the abnormal charge and discharge behaviors, and carrying out emergency treatment according to the first emergency measure. In the embodiment of the application, the corresponding relation between the abnormality and the emergency measures comprises the corresponding relation between each abnormality condition and the emergency measures in each abnormality type, so that the corresponding relation between the abnormality and the emergency measures can be used for determining the corresponding emergency measures.

Step S1052: and when the safety detection information comprises deformation abnormality, acquiring target gas concentration information of the battery, determining battery damage condition based on the target gas concentration information, a target gas concentration threshold value and a multi-azimuth image, determining a second emergency measure corresponding to the deformation abnormality by utilizing the corresponding relation between the abnormality and the emergency measure and the battery damage condition corresponding to the deformation abnormality, and carrying out emergency treatment according to the second emergency measure.

For the embodiment of the application, when the safety detection information comprises deformation abnormality, the deformation of the battery in the appearance is indicated, and the deformation may be caused by external force collision and extrusion, of course, the deformation may also be caused by poor charging behavior, however, the occurrence of strain is often accompanied by damage, and if the battery is not found in time after being damaged, the battery is dangerous to a great extent in normal use. Thus, whether the battery is deformed or not is determined based on the multi-azimuth image, and whether the battery is not damaged or not is determined based on the target gas concentration information and the target gas concentration threshold value, namely, a battery damage condition is obtained, wherein the battery damage condition comprises: the damage type and the damage condition, the damage type at least comprises: deformation and breakage, the damage condition at least includes: deformation position, breakage position, deformation area and breakage area. And then, determining a second emergency measure corresponding to the deformation abnormality by utilizing the corresponding relation between the abnormality and the emergency measure and the damage condition of the battery corresponding to the deformation abnormality, and carrying out emergency treatment according to the second emergency measure.

Step S1053: when the safety detection information comprises temperature abnormality, determining a temperature abnormality level based on the temperature change information, determining a third emergency measure corresponding to the temperature abnormality by utilizing the corresponding relation between the abnormality and the emergency measure and the temperature abnormality level corresponding to the temperature abnormality, and carrying out emergency treatment according to the third emergency measure.

For embodiments of the present application, the battery temperature rise may undergo multiple stages, e.g., self-heating, internal short-circuiting, thermal runaway, etc., and with the stage growth, the temperature also increases. According to the embodiment of the application, the third emergency measures corresponding to the temperature rise are adopted based on different stages of the temperature rise, so that the protection of the battery is enhanced to a certain extent, and the greater loss caused by the danger of the battery is avoided. Specifically, a temperature anomaly level is determined based on temperature change information, wherein the temperature anomaly level includes: the first abnormality, the second abnormality and the third abnormality, wherein the third emergency measure corresponding to the first abnormality is liquid cooling constant temperature treatment, the third emergency measure corresponding to the second abnormality is forced cooling treatment and the third emergency measure corresponding to the third abnormality is isolation treatment.

Therefore, according to the embodiment of the application, because the danger of the battery is caused by the abnormality of multiple types, and different emergency treatment measures are adopted for different types of abnormal conditions, the abnormal behavior analysis is performed based on the historical charge and discharge data to obtain at least one abnormal behavior, and the corresponding relation between the abnormality and the emergency measures is utilized to determine the first emergency measure corresponding to the abnormal charge and discharge behavior. And determining the battery damage condition based on the target gas concentration information, the target gas concentration threshold value and the multi-azimuth image, and determining a second emergency measure corresponding to the deformation abnormality by utilizing the corresponding relation between the abnormality and the emergency measure and the battery damage condition. And determining a temperature abnormality level based on the temperature change information, and determining a third emergency measure corresponding to the temperature abnormality by using the corresponding relation between the abnormality and the emergency measure and the temperature abnormality level. The application determines the emergency measure which is highly matched with each dangerous type information item based on each dangerous type information item, thereby greatly reducing the probability of dangerous situations of the battery and reducing the casualties of materials and personnel.

Further, in order to better solve the problem of damage to the battery caused by poor charging behavior, in the embodiment of the present application, the historical charge and discharge data includes: charge duration, charge power, charge temperature, discharge voltage minimum,

performing abnormal behavior analysis based on historical charge and discharge data to obtain at least one abnormal behavior, and determining a first emergency measure corresponding to the abnormal charge and discharge behavior by using at least one abnormal behavior corresponding to the abnormal charge and discharge behavior according to the corresponding relation between the abnormality and the emergency measure, wherein the method comprises the following steps:

and carrying out abnormal behavior analysis on each item of data in the historical charge and discharge data to obtain at least one abnormal behavior corresponding to the historical charge and discharge data, wherein the abnormal behavior comprises: overcharging, overdischarging, abnormal charging temperature and high-rate charging;

determining a first emergency measure corresponding to the abnormal charge and discharge behavior by utilizing the corresponding relation between the abnormality and the emergency measure and at least one abnormal behavior corresponding to the abnormal charge and discharge behavior, wherein the first emergency measure comprises at least one emergency operation, and the emergency operation comprises: controlling the charging time length, adjusting the charging temperature, controlling the charging power and carrying out abnormal discharge early warning.

For the embodiment of the application, the abnormal behavior analysis is performed on the basis of each item of data in the historical charge and discharge data to obtain at least one abnormal behavior, namely, the intelligent battery stores a threshold value corresponding to each item of data in the historical charge and discharge data in advance, so that the comparison is performed on the basis of all charge duration and charge duration threshold values in the historical charge and discharge data to determine whether the overcharged abnormal behavior exists; comparing all discharge voltage minimum values and discharge voltage threshold values in the historical charge-discharge data to determine whether abnormal behaviors of overdischarge exist or not; comparing all charging temperatures in the historical charging and discharging data with a charging temperature threshold value, and determining whether an abnormal behavior of the charging temperature abnormality exists or not; and comparing all the charging power in the historical charging and discharging data with a charging power threshold value, and determining whether abnormal behavior of high-rate charging exists. The specific operational procedure of determining abnormal behavior for each threshold comparison is not limited in this embodiment.

And further, based on the corresponding relation among each abnormal behavior, the abnormality and the emergency measures, determining the emergency operation corresponding to each emergency measure, and further, synthesizing each emergency operation to obtain the first emergency measure corresponding to the abnormal charge and discharge behavior. The emergency operation and the abnormal behavior have a one-to-one correspondence relationship, namely, the charging duration is controlled in correspondence with the overcharge, the abnormal early warning is carried out in correspondence with the overdischarge, the charging temperature is regulated in correspondence with the abnormal charging temperature, and the charging power is controlled in correspondence with the high-rate charging.

It can be seen that, in the embodiment of the present application, based on each item of data in the historical charge and discharge data, an abnormal behavior analysis is performed to obtain at least one abnormal behavior, and then the corresponding relationship between the abnormality and the emergency measure and the at least one abnormal behavior are used to determine the first emergency measure corresponding to the abnormality of the charge and discharge behavior. The first emergency measure has higher matching degree with at least one abnormal behavior, so that the damage to the battery caused by poor charging behavior can be well solved, and the safety of the battery is improved to a certain extent.

Further, in order to enable the second emergency measure to better conform to the current condition of the battery, in the embodiment of the present application, determining the damage condition of the battery based on the target gas concentration information, the target gas concentration threshold value and the multi-azimuth image, and determining the second emergency measure corresponding to the deformation abnormality by using the correspondence between the abnormality and the emergency measure and the damage condition of the battery corresponding to the deformation abnormality, including:

determining deformation emergency measures corresponding to deformation diagnosis results based on the corresponding relation among the deformation area, the abnormality and the emergency measures;

wherein the battery damage condition includes a deformation diagnosis result and a battery damage result, and the second emergency measure includes a deformation emergency measure and a damage emergency measure.

For the embodiment of the application, the multi-azimuth image of the battery is acquired through the multi-image acquisition device, wherein the multi-azimuth image needs to comprise each side of the battery so as to ensure that the deformation diagnosis result is more accurate. And then, drawing the actual outline of the battery based on the acquired multi-azimuth image, and comparing the actual outline of the battery with a standard outline, so as to judge whether the battery is deformed, wherein the standard outline is the outline of the battery module which is not deformed. And when the deformation of the battery is determined, acquiring a small-area image of the deformation area of the battery, and calculating the deformation area based on the small-area image to obtain the deformation area. In the actual use process of the battery, not all the deformed batteries can be used continuously, and the service life of the battery can be prolonged by changing the use habit of the battery, the use field of the battery and other various conditions aiming at the battery with slight deformation. Therefore, based on the corresponding relation between the deformation area, the abnormality and the emergency measures, the deformation emergency measures corresponding to the deformation diagnosis result are determined, namely, the intelligent battery part stores a deformation area threshold value in advance, and when the deformation area is larger than the deformation area threshold value, the corresponding relation between the abnormality and the emergency measures is utilized to determine that the deformation emergency measures are scrapped and disassembled for recycling; and when the deformation area is not larger than the deformation area threshold, determining that the deformation emergency measure is reused by utilizing the corresponding relation between the abnormality and the emergency measure, and controlling the charge and discharge of the battery aiming at the reused battery.

The deformation is generally accompanied by breakage of the battery, and the concentration of a plurality of gases changes when the battery is broken, and therefore, whether or not the breakage has occurred is determined based on the target gas concentration information. In particular, for lithium batteries, target gas concentration information of at least one gas preset by the battery is acquired through a gas sensor, wherein the gas sensor is arranged on the surface of the battery cell and/or the surface of the battery protection plate, and the gas comprises but is not limited to CO ₂ 、CO、HF、PF ₃ 、EC、DMC、EMC、H ₂ And some of the oxyhydrogen compounds, the concentration data of at least one gas and the name of the target gas are included in the target gas concentration information. Then, according to the comparison between the target gas concentration data and the target gas concentration threshold value in the target gas concentration information, and the size comparison is performed, so as to obtain a battery damage result, and a plurality of ways of determining the battery damage result are provided. Broken and intact. For example, for CO ₂ 、CO、HF、PF ₃ 、EC、DMC、EMC、H ₂ A gas threshold of 0, and in the event that such gas is detected, indicating a breakage of the battery. Because the normal operation of the battery can be seriously affected by the damage of the battery, if the damage condition of the battery is detected, the damage emergency measure is determined to be scrapped and disassembled for recovery by utilizing the corresponding relation between the abnormality and the emergency measure.

When the second emergency measure is determined based on the deformation emergency measure and the breakage emergency measure, if the second emergency measure is scrapped and disassembled for recovery, the second emergency measure is determined to be scrapped and disassembled for recovery.

Therefore, in the embodiment of the application, the battery deformation diagnosis is performed based on the multi-azimuth image information, the deformation area is obtained, and the deformation emergency measure is determined based on the corresponding relation among the deformation area, the abnormality and the emergency measure. And determining the damage emergency measures corresponding to the battery damage result based on the corresponding relation among the battery damage result, the abnormality and the emergency measures based on the target gas concentration data in the target gas concentration information, the target gas concentration threshold value and the size comparison. In terms of battery deformation, the factors of deformation area and damage condition are combined, and emergency measures with high matching degree are respectively determined according to the two conditions corresponding to each factor, so that the second emergency measure can be more in line with the current condition of the battery.

Further, in order to enhance the protection of the battery to a certain extent, so as to avoid the danger of the battery from causing greater loss, in the embodiment of the present application, as shown in fig. 3, a temperature anomaly level is determined based on the temperature change information, and a third emergency measure corresponding to the temperature anomaly is determined by using the correspondence between the anomaly and the emergency measure and the temperature anomaly level corresponding to the temperature anomaly, including: step SA to step SD, wherein:

Step SA: determining the current temperature and the temperature change rate of the battery based on the temperature change information, and determining the temperature abnormality level based on the current temperature and the temperature change rate;

step SB: when the temperature abnormality grade is the first abnormality, determining a third emergency measure corresponding to the temperature abnormality as liquid cooling constant temperature treatment by utilizing the corresponding relation between the abnormality and the emergency measure, wherein the current temperature of the battery can be maintained at the optimal working temperature through the liquid cooling constant temperature treatment.

For embodiments of the present application, the battery temperature rise may undergo multiple stages, e.g., self-heating, internal short-circuiting, thermal runaway, etc., and with the stage growth, the temperature also increases. The application adopts the corresponding third emergency measure based on different stages of temperature rise, and enhances the protection of the battery to a certain extent so as to avoid the danger of the battery and larger loss. Thus, based on the current temperature and the temperature change rate of the battery, temperature abnormality levels are determined, that is, a temperature highest value and a change rate threshold are set for each temperature abnormality level on the current temperature and the temperature change rate, respectively, and based on the current temperature and the temperature change rate and the threshold corresponding to each temperature abnormality level, temperature abnormality levels are determined, wherein if the temperature abnormality levels determined for the current temperature and the temperature change rate are different, a level is selected as a final temperature abnormality level. The first anomaly, the second anomaly, and the third anomaly are arranged in an anomaly level from low to high.

And when the temperature abnormality grade is the first abnormality, determining a third emergency measure corresponding to the temperature abnormality as to execute liquid cooling constant temperature treatment by utilizing the corresponding relation between the abnormality and the emergency measure. Because the optimum running temperature of the battery is 25-50 ℃, in order to enable the battery to work better, when the temperature of the battery is abnormal, the battery which is high in temperature is cooled by utilizing liquid cooling constant temperature treatment, and the battery can be heated and warmed up when the external temperature is too low in winter, so that the activity of the battery is improved, and the battery works better.

Step SC: when the temperature abnormality grade is the second abnormality, determining a third emergency measure corresponding to the temperature abnormality as forced cooling treatment by using the correspondence between the abnormality and the emergency measure, wherein the current temperature of the battery can be reduced to a temperature threshold value through the forced cooling treatment.

For the embodiment of the application, when the temperature abnormality grade is the second abnormality, the corresponding relation between the abnormality and the emergency measures is utilized to determine the third emergency measure corresponding to the temperature abnormality to execute forced cooling treatment, wherein the forced cooling treatment refers to the working principle of a dry ice fire extinguisher in fire-fighting application, namely, when the battery is in the second abnormality, liquid nitrogen is sprayed to the abnormal battery, the liquid nitrogen can be rapidly released, oxygen is blocked, the rapid cooling is further carried out, and the high temperature generated by thermal runaway reaction is neutralized, so that the safety of the battery is protected.

Step SD: when the temperature abnormality level is a third abnormality, determining the third emergency measure corresponding to the temperature abnormality as an isolation process by using the correspondence between the abnormality and the emergency measure, wherein the thermal runaway of the battery can be limited in an isolated space by the isolation process.

For the embodiment of the application, when the temperature anomaly level is the third anomaly, the third emergency measure corresponding to the temperature anomaly is determined to be the isolation treatment by utilizing the corresponding relation between the anomaly and the emergency measure. Specifically, an isolation cover is arranged for each battery, when a third abnormality occurs, isolation treatment is performed, namely, the thermal runaway reaction is limited in the isolation cover of the abnormal battery, so that the influence of the thermal runaway on other batteries is reduced to a certain extent, and the whole battery pack is ensured not to be out of control and explode.

It can be seen that, in the embodiment of the present application, based on the current temperature and the temperature change rate, the temperature anomaly level is determined, the corresponding relationship between anomalies and emergency measures is utilized, the third emergency measure of the first anomaly is determined to be liquid cooling constant temperature processing, the third emergency measure of the second anomaly is determined to be forced cooling processing, and the third emergency measure of the third anomaly is determined to be isolation processing. The application adopts the corresponding third emergency measure based on different stages of temperature rise, and enhances the protection of the battery to a certain extent so as to avoid the danger of the battery and larger loss.

Further, in order to enhance the safety of the battery to a certain extent, to avoid the fire explosion caused by the whole battery module being out of control due to a third abnormal battery, in the embodiment of the application, when the third emergency measure is the isolation treatment,

after emergency treatment according to the third emergency measure, the method further comprises:

acquiring a target battery module corresponding to the third abnormal battery, and acquiring temperature influence information of each target battery in the target battery module, wherein the target battery module comprises a plurality of batteries;

based on the heating influence result, determining an emergency heat insulation measure of the target battery module, and controlling an execution device corresponding to the emergency heat insulation measure to perform emergency treatment so as to realize safety control of the battery.

For the embodiment of the application, the battery module is composed of a plurality of batteries, and the batteries in the battery module are placed close to each other, so that if a third abnormal battery exists in the battery module, the high temperature can affect other batteries in the battery module. Although the isolation process is performed for the third abnormal battery, the isolation process does not cause the temperature of the third abnormal battery to not spread, but also causes the temperature of other batteries in the battery module to rise.

And further, acquiring temperature influence information of each target battery in the target battery module, and performing heating influence analysis based on the temperature influence information of each target battery to obtain a heating influence result, wherein the temperature influence information is temperature change information of the target battery. There are many ways of performing the heat generation effect analysis, for example, determining a temperature change rate of each target battery based on a temperature condition in a target period in the temperature effect information, and determining heat generation effect results for the temperature change rates of all the target batteries, wherein the heat generation effect results include: the module is controllable and the module is uncontrollable, and the influence of the third abnormal battery on other batteries in the module controllable representation battery module is small, so that the whole battery pack cannot be out of control and explode, and the influence of the third abnormal battery on other batteries in the module uncontrollable representation battery module is large, so that the whole battery pack can be out of control and explode. There are various ways in which the heat generation influence results are determined based on the temperature change rates of all the target batteries, and the embodiments of the present application are not limited, and in one case, the influence target batteries are determined based on the temperature change rate of each target battery and the target change rate threshold, and the heat generation influence results are determined based on the batteries that influence the target batteries. In another case, based on the temperature change rate and the highest change rate of each target battery, if there is a target battery exceeding the highest change rate, the heating effect result is determined to be the module uncontrollable, otherwise, the heating effect result is determined to be the module controllable. And then, based on the heating influence result, determining an emergency heat insulation measure of the target battery module, and controlling an execution device corresponding to the emergency heat insulation measure to perform emergency treatment so as to realize the safety control of the battery. Preferably, when the heating influence result is that the module is controllable, the influence target battery which is greatly influenced is controlled to execute isolation treatment; when the result of the heating effect is that the module is controllable, the target battery module is controlled to execute the isolation processing, and each battery in the target battery module executes the isolation processing. The battery module is used for carrying out heating influence analysis on the battery of the same battery module, and emergency heat insulation measures of the target battery module are adopted, so that the use safety of the battery is enhanced to a certain extent, and the whole battery module is prevented from being out of control and exploding due to a third abnormal battery.

Therefore, in the embodiment of the application, the heating influence analysis is performed based on the temperature influence information of each target battery in the target battery module, the emergency heat insulation measures of the target battery module are determined based on the heating influence results, the execution device corresponding to the emergency heat insulation measures is controlled to perform emergency treatment, the heating influence analysis is performed on the batteries of the same battery module, and the emergency heat insulation measures of the target battery module are performed, so that the use safety of the batteries is enhanced to a certain extent, and the fire explosion caused by the whole out-of-control of the whole battery module due to one third abnormal battery is avoided.

Further, in order to improve the safety of the battery, in the embodiment of the present application, the method further includes:

and carrying out multidimensional detection on the battery to obtain the health state of the battery, wherein the multidimensional detection comprises the following steps: battery leakage current detection, battery resistance detection and battery capacity detection, and the health state includes: detecting a corresponding detection result in each dimension;

For the embodiment of the present application, the execution sequence of performing the multidimensional detection and determining whether the lifetime of the battery is ended may be before or after any of steps S101 to S105, and the embodiment of the present application is not limited any more.

The safety of the battery also depends on the health state of the battery to a certain extent, and the battery with abnormal health state is extremely dangerousTherefore, in order to improve the safety of the battery, the use of the battery should be stopped when the state of health of the battery is abnormal. Thus, the present application performs multi-dimensional detection on a battery to obtain a state of health of the battery, wherein the multi-dimensional detection includes: battery leakage current detection, battery resistance detection, and battery capacity detection. The method for detecting the battery leakage current comprises the following steps: recording initial time T when the battery starts to stand still ₀ Sampling the initial voltage V of the battery ₀ The method comprises the steps of carrying out a first treatment on the surface of the At the time of standing the battery to the set time T _n At this time, the stationary voltage V of the battery is calculated by sampling _n The method comprises the steps of carrying out a first treatment on the surface of the By the formula: k (K) _n =（V _n -V ₀ ）/（T _n -T ₀ ) Calculating to obtain corresponding time T _n Voltage drop K of battery _n The method comprises the steps of carrying out a first treatment on the surface of the When K is _n ＞K _x Determining that the battery leakage current detection result is the end of life, K _x Is a set value. The method for detecting the battery resistance comprises the following steps: when the battery starts to stand still, the initial voltage V of the battery is sampled ₀ When the battery is discharged for nT time, sampling the voltage V after discharging of the battery ₁ And a discharge current I; by the formula: r is R _d =（V ₀ -V ₁ ) I, calculating to obtain the DC internal resistance R of the battery at the time nT _d The method comprises the steps of carrying out a first treatment on the surface of the When R is _d ＞R ₀ *K _d Determining that the battery resistance detection result is the end of life, R ₀ For the aging internal resistance of the battery cell production, K is measured initially during production _d Is a set coefficient. The internal resistance is continuously increased in the use process of the battery, and the battery can not be reused when a certain ratio is increased. The method for detecting the battery capacity comprises the following steps: during production, testing the battery to obtain a corresponding OCV curve, storing the OCV curve in the battery, sampling the voltage before discharging and the voltage after discharging of the battery in the discharging process, comparing the voltage before discharging and the voltage after discharging in the OCV curve, and obtaining a power proportion SOC0x before discharging and a power proportion SOC1x after discharging, wherein the power proportion SOC0x is the proportion of the power contained in the battery before discharging to the full power of the battery, and the power proportion SOC1x is the proportion of the power contained in the battery after discharging to the full power of the battery. During the discharge, the discharge current I and the discharge time T are also sampled, and the discharge current I is multiplied by the discharge time TObtaining discharge electric quantity XmAh at the electric time T; by the formula: qmax=XmAh/(SOC 0x-SOC1 x), and calculating to obtain the maximum capacity Qmax of the corresponding battery cell; the maximum chargeable electric quantity of the battery is obtained through calculation according to the ratio of the discharged electric quantity to the discharged electric quantity in the discharging process, and the maximum chargeable electric quantity of the battery is continuously reduced in the continuous using process. When the maximum capacity Qmax is reduced to the set value, the battery capacity detection result is determined to be the end of life.

Further, battery life diagnosis is performed based on the detection results corresponding to each dimension of detection in the health state, that is, when at least one detection result is lifetime end, the battery life diagnosis result is determined to be lifetime end, otherwise, the battery life diagnosis result is determined to be lifetime non-end. And when the service life diagnosis result of the battery is that the service life is finished, alarm information is sent out, and the alarm information is used for warning a user to stop using the battery so as to avoid dangerous conditions of the battery with abnormal use health state. And when the service life of the battery is not finished as a result of the service life diagnosis, continuing to use the battery.

Therefore, in the embodiment of the application, the battery is subjected to multi-dimensional detection to obtain the health state of the battery, the battery life diagnosis is performed based on the detection result corresponding to each dimensional detection in the health state, and if the battery life diagnosis result is the end of life, alarm information is sent out. Through multidimensional detection, the battery with the service life ending is stopped, and the safety of the battery is improved.

The above embodiments describe a battery safety control method from the viewpoint of a method flow, and the following embodiments describe a battery safety control device from the viewpoint of a virtual module or a virtual unit, specifically the following embodiments are described below.

The embodiment of the application provides a safety control device for a battery, as shown in fig. 4, the safety control device for the battery specifically may include:

the first obtaining module 210 is configured to obtain historical charge and discharge data of the battery, and perform charge and discharge behavior diagnosis based on the historical charge and discharge data, so as to obtain a behavior diagnosis result;

a second obtaining module 220, configured to obtain a multi-azimuth image of the battery, and perform deformation diagnosis based on the multi-azimuth image, so as to obtain a deformation diagnosis result;

a third obtaining module 230, configured to obtain temperature change information of the battery, and perform thermal runaway analysis based on the temperature change information, so as to obtain a thermal runaway analysis result;

the safety detection module 240 is configured to perform battery safety detection based on the behavior diagnosis result, the deformation diagnosis result, and the thermal runaway analysis result, so as to obtain safety detection information of the battery;

the emergency processing module 250 is configured to perform emergency processing on the battery based on the safety detection information, so as to implement safety control on the battery.

In one possible implementation manner of the embodiment of the present application, the safety detection information includes at least one of a charge and discharge behavior abnormality, a deformation abnormality and a temperature abnormality,

the emergency processing module 250, when performing emergency processing of the battery based on the safety detection information, is configured to:

When the safety detection information comprises charge and discharge behavior abnormality, performing abnormality behavior analysis based on historical charge and discharge data to obtain at least one abnormality behavior, determining a first emergency measure corresponding to the charge and discharge behavior abnormality by utilizing the corresponding relation between the abnormality and the emergency measure and at least one abnormality behavior corresponding to the charge and discharge behavior abnormality, and performing emergency treatment according to the first emergency measure;

when the safety detection information comprises deformation abnormality, acquiring target gas concentration information of the battery, determining battery damage conditions based on the target gas concentration information, a target gas concentration threshold value and a multi-azimuth image, determining second emergency measures corresponding to the deformation abnormality by utilizing the corresponding relation between the abnormality and the emergency measures and the battery damage conditions corresponding to the deformation abnormality, and carrying out emergency treatment according to the second emergency measures;

when the safety detection information comprises temperature abnormality, determining a temperature abnormality level based on the temperature change information, determining a third emergency measure corresponding to the temperature abnormality by utilizing the corresponding relation between the abnormality and the emergency measure and the temperature abnormality level corresponding to the temperature abnormality, and carrying out emergency treatment according to the third emergency measure.

In one possible implementation manner of the embodiment of the present application, the historical charge and discharge data includes: charge duration, charge power, charge temperature, discharge voltage minimum,

The emergency processing module 250 is configured to, when performing an analysis of abnormal behavior based on historical charge and discharge data to obtain at least one abnormal behavior and determining a first emergency measure corresponding to the abnormal charge and discharge behavior by using a corresponding relationship between the abnormality and the emergency measure and at least one abnormal behavior corresponding to the abnormal charge and discharge behavior:

In one possible implementation manner of the embodiment of the present application, when the emergency processing module 250 determines the battery damage condition based on the target gas concentration information, the target gas concentration threshold value and the multi-azimuth image, and determines the second emergency measure corresponding to the deformation abnormality by using the correspondence between the abnormality and the emergency measure and the battery damage condition corresponding to the deformation abnormality, the emergency processing module is configured to:

In one possible implementation manner of the embodiment of the present application, when the emergency processing module 250 determines a temperature anomaly level based on the temperature change information, and determines a third emergency measure corresponding to the temperature anomaly by using the correspondence between the anomaly and the emergency measure and the temperature anomaly level corresponding to the temperature anomaly, the emergency processing module is configured to:

determining the current temperature and the temperature change rate of the battery based on the temperature change information, and determining the temperature abnormality level based on the current temperature and the temperature change rate;

when the temperature abnormality level is a third abnormality, determining the third emergency measure corresponding to the temperature abnormality as an isolation process by using the correspondence between the abnormality and the emergency measure, wherein the thermal runaway of the battery can be limited in an isolated space by the isolation process.

In one possible implementation manner of the embodiment of the present application, the safety control device of the battery further includes:

the module emergency processing module is used for acquiring a target battery module corresponding to the third abnormal battery and acquiring temperature influence information of each target battery in the target battery module, wherein the target battery module comprises a plurality of batteries;

the multidimensional detection module is used for carrying out multidimensional detection on the battery to obtain the health state of the battery, wherein the multidimensional detection comprises: battery leakage current detection, battery resistance detection and battery capacity detection, and the health state includes: detecting a corresponding detection result in each dimension;

It will be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process of the safety control device for a battery described above may refer to the corresponding process in the foregoing method embodiment, which is not described herein again.

In an embodiment of the present application, as shown in fig. 5, an intelligent battery 300 shown in fig. 5 includes: a processor 301 and a memory 303. Wherein the processor 301 is coupled to the memory 303, such as via a bus 302. Optionally, the smart battery 300 may also include a transceiver 304. It should be noted that, in practical applications, the transceiver 304 is not limited to one, and the structure of the smart battery 300 is not limited to the embodiment of the present application.

The processor 301 may be a CPU (Central Processing Unit ), general purpose processor, DSP (Digital Signal Processor, data signal processor), ASIC (Application Specific Integrated Circuit ), FPGA (Field Programmable Gate Array, field programmable gate array) or other programmable logic device, transistor logic device, hardware components, or any combination thereof. Which may implement or perform the various exemplary logic blocks, modules and circuits described in connection with this disclosure. Processor 301 may also be a combination that implements computing functionality, e.g., comprising one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.

Bus 302 may include a path to transfer information between the components. Bus 302 may be a PCI (Peripheral Component Interconnect, peripheral component interconnect Standard) bus or an EISA (Extended Industry Standard Architecture ) bus, or the like. Bus 302 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in fig. 5, but not only one bus or type of bus.

The Memory 303 may be, but is not limited to, a ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, a RAM (Random Access Memory ) or other type of dynamic storage device that can store information and instructions, an EEPROM (Electrically Erasable Programmable Read Only Memory ), a CD-ROM (Compact Disc Read Only Memory, compact disc Read Only Memory) or other optical disk storage, optical disk storage (including compact discs, laser discs, optical discs, digital versatile discs, blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.

The memory 303 is used for storing application program codes for executing the inventive arrangements and is controlled to be executed by the processor 301. The processor 301 is configured to execute the application code stored in the memory 303 to implement what is shown in the foregoing method embodiments.

Among them, smart batteries include, but are not limited to: mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and the like, and stationary terminals such as digital TVs, desktop computers, and the like. But may also be a server or the like. The smart battery shown in fig. 5 is only an example and should not impose any limitation on the functionality and scope of use of the embodiments of the present application.

Embodiments of the present application provide a computer-readable storage medium having a computer program stored thereon, which when run on a computer, causes the computer to perform the corresponding method embodiments described above.

It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited in order and may be performed in other orders, unless explicitly stated herein. Moreover, at least some of the steps in the flowcharts of the figures may include a plurality of sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, the order of their execution not necessarily being sequential, but may be performed in turn or alternately with other steps or at least a portion of the other steps or stages.

The foregoing is only a partial embodiment of the present application, and it should be noted that it will be apparent to those skilled in the art that modifications and adaptations can be made without departing from the principles of the present application, and such modifications and adaptations should and are intended to be comprehended within the scope of the present application.

Claims

1. A safety control method of a battery, characterized by comprising:

2. The method for safety control of a battery according to claim 1, wherein the safety detection information includes at least one of a charge-discharge behavior abnormality, a deformation abnormality, and a temperature abnormality,

3. The safety control method of a battery according to claim 2, wherein the historical charge and discharge data includes: charge duration, charge power, charge temperature, discharge voltage minimum,

4. The method according to claim 2, wherein the determining the battery damage condition based on the target gas concentration information, the target gas concentration threshold value, and the multi-azimuth image, and determining the second emergency measure corresponding to the deformation abnormality using the correspondence between the abnormality and the emergency measure, the battery damage condition corresponding to the deformation abnormality, comprises:

5. The safety control method of a battery according to claim 2, wherein the determining a temperature abnormality level based on the temperature change information and determining a third emergency measure corresponding to the temperature abnormality using a correspondence between abnormality and emergency measure, the temperature abnormality level corresponding to the temperature abnormality, comprises:

6. The method for safety control of a battery according to claim 5, wherein, when the third emergency measure is an isolation process,

7. The safety control method of a battery according to any one of claims 1 to 6, characterized by further comprising:

8. A safety control device for a battery, comprising:

9. An intelligent battery, characterized by comprising:

at least one processor;

a memory;

at least one application program, wherein the at least one application program is stored in the memory and configured to be executed by the at least one processor, the at least one application program configured to: a safety control method of the battery according to any one of claims 1 to 7 is performed.

10. A computer-readable storage medium, characterized in that a computer program is stored thereon, which, when executed in a computer, causes the computer to execute the safety control method of a battery according to any one of claims 1 to 7.