CN115079030A

CN115079030A - Battery system early warning method and device, electronic equipment and storage medium

Info

Publication number: CN115079030A
Application number: CN202210641180.6A
Authority: CN
Inventors: 陈喆; 何志超; 王垒; 吕喆; 钱昊
Original assignee: Beijing Hyperstrong Technology Co Ltd
Current assignee: Beijing Hyperstrong Technology Co Ltd
Priority date: 2022-06-08
Filing date: 2022-06-08
Publication date: 2022-09-20

Abstract

The application provides a battery system early warning method and device, electronic equipment and a storage medium, and relates to the field of energy storage. The method comprises the following steps: acquiring current actual environmental parameters and actual early warning parameters of a battery system; the actual early warning parameters comprise the current battery expansion force and the battery expansion force change rate; searching early warning threshold values under all the environmental parameters according to the actual environmental parameters to obtain early warning threshold values under the actual environmental parameters; the early warning threshold value under each environmental parameter is obtained by constructing a battery system simulation model, selecting a plurality of environmental parameters to input into the battery system simulation model, and carrying out simulation test; and if at least one actual early warning parameter exceeds the corresponding early warning threshold value under the actual environmental parameter, executing alarm processing. According to the scheme, the alarm is given by detecting the parameters related to the expansion of the battery, sufficient time can be reserved for fire-fighting measures and related personnel to escape, and the safety of a battery system is improved.

Description

Battery system early warning method and device, electronic equipment and storage medium

Technical Field

The present disclosure relates to the field of energy storage, and in particular, to a battery system early warning method and apparatus, an electronic device, and a storage medium.

Background

As the environment deteriorates and the conventional fossil energy is exhausted, batteries are gradually developed in various fields. Meanwhile, the safety problem of the battery is widely regarded.

The wrong use of the battery can cause thermal runaway, and accidents such as combustion or explosion can occur in serious cases. Therefore, the battery system should have a thermal runaway alarm function, so that risks can be identified in advance when the battery is in thermal runaway, and the related personnel can be ensured to have sufficient escape time under dangerous conditions by providing thermal runaway alarm information for the related personnel, thereby providing guarantee for the safe operation of the battery system.

In the related art, an alarm is usually triggered by monitoring the state of the safety valve, for example, monitoring the combustible gas around the safety valve or monitoring the opening state of the safety valve, however, when the combustible gas or the safety valve is monitored to be opened, the battery system is close to thermal runaway, so that sufficient time cannot be reserved for the escape of subsequent fire-fighting measures and related personnel, and safety problems are easy to occur. Therefore, how to early warn is of great significance for improving the safety of the battery system.

Disclosure of Invention

The application provides a battery system early warning method, a battery system early warning device, electronic equipment and a storage medium, which are used for timely executing thermal runaway warning.

In a first aspect, the present application provides a battery system early warning method, including: acquiring current actual environmental parameters and actual early warning parameters of a battery system; the actual early warning parameters comprise the current battery expansion force and the battery expansion force change rate; searching early warning threshold values under all the environmental parameters according to the actual environmental parameters to obtain early warning threshold values under the actual environmental parameters; the early warning threshold value under each environmental parameter is obtained by constructing a battery system simulation model, selecting a plurality of environmental parameters to input into the battery system simulation model, and carrying out simulation test; the early warning threshold value comprises a battery expansion force threshold value and a battery expansion force change rate threshold value; and if at least one actual early warning parameter exceeds the corresponding early warning threshold value under the actual environment parameter, executing alarm processing.

In one possible embodiment, the method further comprises: building a battery system simulation model; acquiring a plurality of groups of environmental parameters; respectively inputting the plurality of groups of environmental parameters into the battery system simulation model to obtain working parameter values of the battery system under each group of environmental parameters when the battery system works normally, wherein the working parameter values comprise battery expansion force and battery expansion force change rate; and obtaining the early warning threshold value under the environmental parameters according to the working parameters of the normal work of the battery system under each group of environmental parameters and the preset safety factor.

In a possible implementation, the obtaining multiple sets of environment parameters includes: determining a plurality of environment parameter types, and setting a plurality of environment parameter values for each environment parameter type; and combining the environmental parameter values under a plurality of environmental parameter types to obtain the plurality of groups of environmental parameters.

In one possible embodiment, the method further comprises: if the actual environment parameters do not exist in the environment parameters, selecting the adjacent environment parameters closest to the parameter values of the actual environment parameters from the environment parameters; and calculating to obtain the early warning threshold value under the actual environmental parameter by adopting an interpolation method according to the early warning threshold value under the adjacent environmental parameter.

In a possible implementation manner, the early warning parameter further includes a battery temperature and a battery temperature change rate, and the early warning threshold further includes a battery temperature threshold and a battery temperature change rate threshold.

In one possible embodiment, the type of the actual environment parameter includes at least one of: initial pre-tightening force of the battery, battery temperature, battery state of charge, battery capacity and current.

In a second aspect, the present application provides a battery system early warning device, including: the acquisition module is used for acquiring the current actual environmental parameters and the actual early warning parameters of the battery system; the actual early warning parameters comprise the current battery expansion force and the battery expansion force change rate; the searching module is used for searching early warning threshold values under all the environmental parameters according to the actual environmental parameters to obtain early warning threshold values under the actual environmental parameters; the early warning threshold value under each environmental parameter is obtained by constructing a battery system simulation model, selecting a plurality of environmental parameters to input into the battery system simulation model, and carrying out simulation test; the early warning threshold value comprises a battery expansion force threshold value and a battery expansion force change rate threshold value; and the execution module is used for executing alarm processing if at least one actual early warning parameter exceeds the corresponding early warning threshold value under the actual environment parameter.

In one possible embodiment, the apparatus further comprises: the building module is used for building a battery system simulation model; acquiring a plurality of groups of environmental parameters; the simulation module is used for respectively inputting the plurality of groups of environmental parameters into the battery system simulation model to obtain working parameter values of the battery system under each group of environmental parameters when the battery system works normally, wherein the working parameter values comprise battery expansion force and battery expansion force change rate; and the calculation module is used for obtaining the early warning threshold value under the environmental parameters according to the working parameters of the normal work of the battery system under each group of environmental parameters and the preset safety factor.

In a possible implementation manner, the building module is specifically configured to determine a plurality of environment parameter types, and set a plurality of environment parameter values for each environment parameter type; the building module is specifically configured to combine the environmental parameter values under multiple environmental parameter types to obtain the multiple sets of environmental parameters.

In a possible implementation manner, the search module is further configured to select, if the actual environmental parameter does not exist in the environmental parameters, an adjacent environmental parameter closest to a parameter value of the actual environmental parameter from the environmental parameters; the searching module is further configured to calculate the early warning threshold value under the actual environmental parameter by using an interpolation method according to the early warning threshold value under the adjacent environmental parameter.

In a third aspect, the present application provides an electronic device, comprising: a processor, and a memory communicatively coupled to the processor; the memory stores computer-executable instructions; the processor executes computer-executable instructions stored by the memory to implement the method of any of the first aspects.

In a fourth aspect, the present application provides a computer-readable storage medium having stored therein computer-executable instructions for execution by a processor to perform the method of any of the first aspects.

The battery system early warning method, the battery system early warning device, the electronic equipment and the storage medium acquire the current actual environmental parameters and the actual early warning parameters of the battery system; the actual early warning parameters comprise the current battery expansion force and the battery expansion force change rate; searching early warning threshold values under all the environmental parameters according to the actual environmental parameters to obtain early warning threshold values under the actual environmental parameters; the early warning threshold value under each environmental parameter is obtained by constructing a battery system simulation model, selecting a plurality of environmental parameters to input into the battery system simulation model, and carrying out simulation test; the early warning threshold comprises a battery expansion force threshold and a battery expansion force change rate threshold; and if at least one actual early warning parameter exceeds the corresponding early warning threshold value under the actual environment parameter, executing alarm processing. According to the scheme, the alarm is given by detecting the parameters related to the expansion of the battery, sufficient time can be reserved for fire-fighting measures and related personnel to escape, and the safety of a battery system is improved.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.

Fig. 1 is a schematic view of an application scenario of a battery system early warning method according to an embodiment of the present disclosure;

fig. 2 is a schematic flowchart of a battery system early warning method according to an embodiment of the present disclosure;

FIG. 3 is an example of a simulation calculation provided by an embodiment of the present application;

fig. 4 is a diagram illustrating a structure of a battery system warning device according to a second embodiment of the present disclosure;

fig. 5 is a block diagram of an early warning device of a battery system according to a third embodiment of the present application;

fig. 6 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present application.

With the above figures, there are shown specific embodiments of the present application, which will be described in more detail below. These drawings and written description are not intended to limit the scope of the inventive concepts in any manner, but rather to illustrate the inventive concepts to those skilled in the art by reference to specific embodiments.

Detailed Description

Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.

The terms involved are explained first:

initial pretightening force: during the assembly process of the battery system, force is applied in advance in order to enhance the reliability and tightness of connection;

battery State Of Charge (SOC): the ratio of the remaining capacity of the battery to the capacity of its fully charged state;

battery Health (State Of Health, SOH for short): the ratio of the full charge capacity phase to the rated capacity of the battery.

Fig. 1 is a schematic view of an application scenario of a battery system early warning method provided in an embodiment of the present application, and as shown in fig. 1, the scenario includes: a battery 1 and a safety valve 2.

Exemplified in connection with the illustrated scenario: in the battery system, a safety valve 2 is provided outside a battery 1. When the battery system is not used properly or works in an overload state, the battery 1 can be greatly expanded, so that the obvious pressure is increased, and the safety valve 2 is opened to release the pressure, so that severe explosion is prevented.

In practical application, whether to execute the alarm can be judged by detecting the opening sound signal of the safety valve and the combustible gas around the safety valve. For example, when the opening sound signal of the safety valve is detected, the safety valve is opened at the moment, the battery is greatly expanded, the pressure of the battery is obviously increased, and the alarm is executed at the moment. Or when combustible gas around the safety valve is detected, the safety valve is opened or the safety valve is broken, which indicates that the battery has larger expansion, the battery pressure is obviously increased, and the alarm is executed. However, the signal for detecting the opening sound of the safety valve is interfered by the environmental sound, false alarm and missing report can be caused, and when the safety valve is detected to be opened, the battery is greatly expanded and is close to thermal runaway at the moment, so that sufficient time cannot be reserved for fire-fighting measures and personnel escape.

The technical means of the present application and the technical means of the present application will be described in detail below with specific examples. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments. In the description of the present application, unless otherwise explicitly specified and defined, each term should be understood broadly in the art. Embodiments of the present application will be described below with reference to the accompanying drawings.

Example one

Fig. 2 is a schematic flow chart of a battery system early warning method according to an embodiment of the present disclosure, where the method includes the following steps:

s101, acquiring current actual environmental parameters and actual early warning parameters of a battery system; the actual early warning parameters comprise the current battery expansion force and the battery expansion force change rate;

s102, searching early warning threshold values under all environment parameters according to the actual environment parameters to obtain early warning threshold values under the actual environment parameters; the early warning threshold value under each environmental parameter is obtained by constructing a battery system simulation model, selecting a plurality of environmental parameters to input into the battery system simulation model, and carrying out simulation test; the early warning threshold value comprises a battery expansion force threshold value and a battery expansion force change rate threshold value;

s103, if at least one actual early warning parameter exceeds the corresponding early warning threshold value under the actual environment parameter, executing alarm processing.

As an example, the execution subject of this embodiment may be a battery system early warning device, which is implemented in various ways. For example, the program may be software, or a medium storing a related computer program, such as a usb disk; alternatively, the apparatus may also be a physical device, such as a chip, an intelligent terminal, a computer, a server, etc., integrated with or installed with the relevant computer program.

It should be noted that the present embodiment does not limit the specific type of the battery, and may be, for example, a lithium ion battery, a lithium metal battery, a fuel cell, a vanadium flow battery, and the like.

In one example, the actual early warning parameters further include a battery temperature and a battery temperature change rate, and the early warning thresholds further include a battery temperature threshold and a battery temperature change rate threshold.

In combination with the scenario example, when the battery system is about to suffer from thermal runaway, the first change is that the internal battery is greatly expanded and the battery is heated up violently, and along with the rapid increase of pressure, when the pressure exceeds the bearing limit of the safety valve, the safety valve is opened, so that an opening sound signal of the safety valve and combustible gas around the safety valve can be detected, and the thermal runaway is approached. Therefore, timely warning can be realized by detecting the expansion force of the battery, the change rate of the expansion force of the battery, the temperature of the battery and the change rate of the temperature of the battery.

Based on the above embodiment, the battery expansion force change rate, the battery temperature and the battery temperature change rate are used as actual early warning parameters, so that timely warning can be realized. And by detecting a plurality of actual early warning parameters, the reliability of warning can be improved, and the report missing is prevented.

In one example, S102 further includes building a battery system simulation model; acquiring a plurality of groups of environmental parameters; respectively inputting the plurality of groups of environmental parameters into the battery system simulation model to obtain working parameter values of the battery system under each group of environmental parameters when the battery system works normally, wherein the working parameter values comprise battery expansion force and battery expansion force change rate; and obtaining the early warning threshold value under the environmental parameters according to the working parameters of the normal work of the battery system under each group of environmental parameters and the preset safety factor.

As an embodiment, as shown in fig. 3, fig. 3 is a simulation calculation example. And (3) using finite element simulation software, and inputting electrochemical characteristic parameters of the battery material in the software to construct a battery simulation model. The method comprises the steps of inputting an environmental parameter group 1 into a battery simulation model, obtaining a working parameter 1 output by the battery simulation model when a battery runs under the condition of the environmental parameter group 1, multiplying the working parameter 1 by a safety coefficient to obtain a corresponding early warning threshold 1, wherein the early warning threshold 1 represents the upper limit of the working parameter of the battery when the battery runs under the condition of the environmental parameter group 1, and when the upper limit of the working parameter exceeds the early warning threshold 1, the battery is out of control thermally. And calculating to obtain the early warning threshold values respectively corresponding to each group of working parameters by inputting a plurality of groups of environmental parameters. The safety factor can be adjusted by a user within a preset range.

For example, the environment parameter set 1 includes: the initial pre-tightening force of the battery is 300kgf, the temperature of the battery is 25 ℃, the state of charge of the battery is 90%, the health degree of the battery is 78% and the current is 1C. The environmental parameter group 1 is input into a battery simulation model, and the output working parameter 1 is battery expansion force 525kgf, which indicates that the battery expansion force is 525kgf when the battery normally works under the condition of the environmental parameter 1. Multiplying the working parameter 1 by the safety factor 1.2 to obtain an early warning threshold value of 630kgf of battery expansion force, which indicates that thermal runaway can occur if the battery expansion force is higher than 630kgf when the battery works under the condition of the environmental parameter 1.

Based on the above embodiment, each group of environmental parameters is subjected to simulation calculation to obtain the corresponding early warning threshold, and whether to warn or not can be judged according to different actual environmental parameters, so that the warning accuracy is improved.

In one example, obtaining multiple sets of environmental parameters includes: determining a plurality of environment parameter types, and setting a plurality of environment parameter values for each environment parameter type; and combining the environmental parameter values under a plurality of environmental parameter types to obtain the plurality of groups of environmental parameters.

As an embodiment, for example, a plurality of environment parameter values are set for each environment parameter type as shown in the following table:

initial pre-tightening force	Temperature of	State of charge	Degree of health	Electric current
					200kgf	-10℃	20％	40％	-1C
300kgf	10℃	30％	50％	-0.5C
					400kgf	30℃	50％	60％	0
500kgf	40℃	60％	80％	0.5C
					600kgf	50℃	80％	100％	1C

And selecting one environmental parameter value under each environmental parameter type for combination, and traversing the environmental parameter values to obtain a plurality of groups of environmental parameters. For example, a set of environmental parameters is obtained by combining an initial pre-load of 200kgf for a battery, a temperature of-10 ℃, a state of charge of 20%, a health of the battery of 40%, and a current of-1C; a group of environmental parameters is obtained by combining the initial pretightening force of the battery of 200kgf, the temperature of the battery of 10 ℃, the state of charge of the battery of 50 percent, the health degree of the battery of 40 percent and the current of-1C. By parity of reasoning, a plurality of groups of environment parameters are established in a cross combination mode.

Based on the above embodiment, multiple groups of environment parameters obtained by cross-combining the environment parameter values under different environment parameter types can cover various battery working environments, so that early warning thresholds under various battery working environments are obtained through simulation calculation, and the accuracy of warning is improved.

In another example, if the actual environmental parameter does not exist in the environmental parameters, selecting an adjacent environmental parameter closest to a parameter value of the actual environmental parameter from the environmental parameters; and calculating to obtain the early warning threshold value under the actual environmental parameter by adopting an interpolation method according to the early warning threshold value under the adjacent environmental parameter.

For example, in combination with the above exemplary environmental parameters, assuming that the actual environmental parameters are the initial pre-tightening force of the battery of 300kgf, the battery temperature of 25 ℃, the battery state of charge of 80%, the battery health of 78%, and the current of 1C, based on the environmental parameter values of the above exemplary environmental parameter types, it can be known that the actual environmental parameters do not exist in the established multiple sets of environmental parameters. At this time, the nearest adjacent environmental parameter set to the actual environmental parameter can be found, and the early warning threshold value under the implementation environmental parameter is obtained according to the early warning threshold value under the adjacent environmental parameter set. With reference to the foregoing example, the actual environmental parameter and the set of neighboring environmental parameters are shown in the following table:

therefore, the nearest neighboring environmental parameter set 1 of the actual environmental parameters: the initial pre-tightening force of the battery is 300kgf, the temperature of the battery is 25 ℃, the state of charge of the battery is 78%, the health degree of the battery is 78%, and the current is 1C. And proximity environment parameter set 2: the initial pre-tightening force of the battery is 300kgf, the temperature of the battery is 25 ℃, the state of charge of the battery is 81%, the health degree of the battery is 78% and the current is 1C. And calculating the early warning threshold corresponding to the actual environment parameter by an interpolation method between the early warning threshold corresponding to the adjacent environment parameter group 1 and the early warning threshold corresponding to the adjacent environment parameter group 2.

Based on the above embodiments, a scene in which no actual environmental parameter exists among the environmental parameters can be handled by the interpolation method.

As another example, if the actual environmental parameters do not exist in the environmental parameters, the actual environmental parameters in the environmental parameter group do not exist, and the actual environmental parameters are input into the battery system simulation model, and the early warning threshold corresponding to the actual environmental parameters is obtained through calculation.

In combination with the above-mentioned exemplary actual environmental parameters, for example, the actual environmental parameters that do not exist in the environmental parameters are: the initial pre-tightening force of the battery is 300kgf, the temperature of the battery is 25 ℃, the state of charge of the battery is 80%, the health degree of the battery is 78% and the current is 1C, the battery is input into a battery system simulation model, and the early warning threshold corresponding to the actual environmental parameters is obtained through calculation.

Based on the above embodiment, the corresponding early warning threshold value is obtained by performing simulation calculation on the actual environmental parameter without the environmental parameter set, and the existing environmental parameter set and the corresponding early warning threshold value can be supplemented and perfected.

In one example, S103 includes: and sending the alarm instruction to a preset alarm object.

In one embodiment, the alarm object includes at least one of: a central control unit of the battery system, a remote terminal, such as an upper computer terminal of a central control room, and a mobile device of an administrator.

Based on the above embodiment, by setting a plurality of alarm objects, the situation that one alarm object cannot respond in time can be avoided, thereby improving the safety of the battery system.

In one example, the type of the actual environmental parameter includes at least one of: initial pre-tightening force of the battery, battery temperature, battery state of charge, battery health and current.

In combination with the scenario example, the thermal runaway of the battery is commonly affected by various factors, so that different environmental parameters need to be synthesized to perform the alarm.

It should be noted that the present embodiment does not limit the type of the actual environment parameters, and includes all the parameters related to the battery operation in addition to the above listed parameters.

Based on the above embodiment, the working state of the battery can be accurately determined by setting the types of the plurality of actual environment parameters, so that the accuracy of the alarm is improved.

In the early warning method for the battery system provided by the embodiment, the current actual environmental parameters and the actual early warning parameters of the battery system are obtained; the actual early warning parameters comprise the current battery expansion force and the battery expansion force change rate; searching early warning threshold values under all the environmental parameters according to the actual environmental parameters to obtain early warning threshold values under the actual environmental parameters; the early warning threshold value under each environmental parameter is obtained by constructing a battery system simulation model, selecting a plurality of environmental parameters to input into the battery system simulation model, and carrying out simulation test; the early warning threshold comprises a battery expansion force threshold and a battery expansion force change rate threshold; and if at least one actual early warning parameter exceeds the corresponding early warning threshold value under the actual environment parameter, executing alarm processing. According to the scheme, the alarm is given by detecting the parameters related to the expansion of the battery, sufficient time can be reserved for fire-fighting measures and related personnel to escape, and the safety of a battery system is improved.

Example two

Fig. 4 is a schematic structural diagram of a battery system early warning device provided in the second embodiment of the present application, and as shown in fig. 4, the battery system early warning device includes:

the acquiring module 41 is configured to acquire a current actual environmental parameter and an actual early warning parameter of the battery system; the actual early warning parameters comprise the current battery expansion force and the battery expansion force change rate;

the searching module 42 is configured to search the early warning threshold value under each environmental parameter according to the actual environmental parameter, so as to obtain the early warning threshold value under the actual environmental parameter; the early warning threshold value under each environmental parameter is obtained by constructing a battery system simulation model, selecting a plurality of environmental parameters to input into the battery system simulation model, and carrying out simulation test; the early warning threshold value comprises a battery expansion force threshold value and a battery expansion force change rate threshold value;

and the executing module 43 is configured to execute an alarm process if at least one actual early warning parameter exceeds the corresponding early warning threshold under the actual environmental parameter.

Combining with a scene example, when the thermal runaway of the battery system is about to occur, the first change occurs that the internal battery is greatly expanded and the battery is heated up violently, along with the rapid increase of the pressure, when the pressure exceeds the bearing limit of the safety valve, the safety valve is opened, the safety valve opening sound signal and the combustible gas around the safety valve can be detected, and the thermal runaway is close to the moment. Therefore, timely warning can be realized by detecting the expansion force of the battery, the change rate of the expansion force of the battery, the temperature of the battery and the change rate of the temperature of the battery.

In one example, the battery system early warning apparatus further includes a building module 44 configured to build a battery system simulation model; acquiring a plurality of groups of environmental parameters; the simulation module 45 is configured to input the multiple sets of environmental parameters into the battery system simulation model, respectively, to obtain working parameter values of the battery system during normal operation under each set of environmental parameters, where the working parameter values include a battery swelling force and a battery swelling force change rate; and the calculating module 46 is used for obtaining the early warning threshold value under the environmental parameters according to the working parameters of the normal work of the battery system under each group of environmental parameters and the preset safety factor.

As an embodiment, as shown in fig. 3, fig. 3 is a simulation calculation example. The construction module 44 constructs a battery simulation model by inputting the electrochemical characteristic parameters of the battery material into the finite element simulation software. The simulation module 45 inputs the environmental parameter group 1 into the battery simulation model to obtain a working parameter 1 output by the battery simulation model when the battery runs under the condition of the environmental parameter group 1, the calculation module 46 multiplies the working parameter 1 by a safety factor to obtain a corresponding early warning threshold 1, the early warning threshold 1 represents an upper limit of the working parameter when the battery runs under the condition of the environmental parameter group 1, and when the working parameter exceeds the early warning threshold 1, the battery is out of control due to heat. And calculating to obtain the early warning threshold values respectively corresponding to each group of working parameters by inputting a plurality of groups of environmental parameters. The safety factor can be adjusted by a user within a preset range.

In one example, the building module 44 is specifically configured to determine a plurality of environmental parameter types, and set a plurality of environmental parameter values for each environmental parameter type; the building module 44 is further specifically configured to combine the environmental parameter values under multiple environmental parameter types to obtain the multiple sets of environmental parameters.

As an implementation mode, one environmental parameter value is selected under each environmental parameter type for cross combination, and multiple groups of environmental parameters are obtained by traversing the environmental parameter values.

In another example, the searching module 42 is further configured to select, if the actual environmental parameter does not exist in the environmental parameters, an adjacent environmental parameter closest to a parameter value of the actual environmental parameter from the environmental parameters; the searching module 42 is further configured to calculate the early warning threshold value under the actual environmental parameter by using an interpolation method according to the early warning threshold value under the adjacent environmental parameter.

For example, assuming that the actual environmental parameters are that the initial pre-tightening force of the battery is 300kgf, the temperature of the battery is 25 ℃, the state of charge of the battery is 80%, the health of the battery is 78%, and the current is 1C, the actual environmental parameters do not exist in the established plurality of sets of environmental parameters. At this time, the nearest set of neighboring environment parameters 1 to the actual environment parameters can be found: the initial pre-tightening force of the battery is 300kgf, the temperature of the battery is 25 ℃, the state of charge of the battery is 78%, the health degree of the battery is 78% and the current is 1C. And a set of proximity environment parameters 2: the initial pre-tightening force of the battery is 300kgf, the temperature of the battery is 25 ℃, the state of charge of the battery is 81%, the health degree of the battery is 78% and the current is 1C. And calculating the early warning threshold corresponding to the actual environment parameter by an interpolation method between the early warning threshold corresponding to the adjacent environment parameter group 1 and the early warning threshold corresponding to the adjacent environment parameter group 2.

Based on the above embodiment, a scene in which no actual environmental parameter exists in each environmental parameter can be dealt with by the interpolation method.

As an example, the simulation module 45 is further configured to input, to the battery system simulation model, the actual environmental parameter in the environmental parameter group that does not exist, and calculate to obtain the early warning threshold corresponding to the actual environmental parameter.

In one example, the execution module 43 is specifically configured to send the alarm instruction to a preset alarm object.

In one embodiment, the alarm object includes at least one of: a central control unit of the battery system, a remote terminal, such as an upper computer terminal of a central control room, and a mobile device such as a mobile phone of an administrator.

In the early warning device for the battery system provided by this embodiment, the obtaining module is configured to obtain a current actual environmental parameter and an actual early warning parameter of the battery system; the actual early warning parameters comprise the current battery expansion force and the battery expansion force change rate; the searching module is used for searching the early warning threshold value under each environmental parameter according to the actual environmental parameter to obtain the early warning threshold value under the actual environmental parameter; the early warning threshold value under each environmental parameter is obtained by constructing a battery system simulation model, selecting a plurality of environmental parameters to input into the battery system simulation model, and carrying out simulation test; the early warning threshold comprises a battery expansion force threshold and a battery expansion force change rate threshold; and the execution module is used for executing alarm processing if at least one actual early warning parameter exceeds the corresponding early warning threshold value under the actual environment parameter. Above scheme reports an emergency and asks for help or increased vigilance through detecting battery inflation relevant parameter, can reserve sufficient time for fire control measure and relevant personnel flee, improves battery system security.

EXAMPLE III

Fig. 5 is a block diagram illustrating an apparatus of a battery system early warning apparatus, which may be a mobile phone, a computer, a digital broadcasting terminal, a messaging device, a game console, a tablet device, a medical device, an exercise device, a personal digital assistant, etc., according to an exemplary embodiment.

The apparatus 800 may include one or more of the following components: a processing component 802, a memory 804, a power component 806, a multimedia component 808, an audio component 810, an input/output interface 812, a sensor component 814, and a communication component 816.

The processing component 802 generally controls overall operation of the device 800, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing components 802 may include one or more processors 820 to execute instructions to perform all or a portion of the steps of the methods described above. Further, the processing component 802 can include one or more modules that facilitate interaction between the processing component 802 and other components. For example, the processing component 802 can include a multimedia module to facilitate interaction between the multimedia component 808 and the processing component 802.

The memory 804 is configured to store various types of data to support operations at the apparatus 800. Examples of such data include instructions for any application or method operating on device 800, contact data, phonebook data, messages, pictures, videos, and so forth. The Memory 804 may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as Static Random-Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk or optical disk.

Power components 806 provide power to the various components of device 800. The power components 806 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the apparatus 800.

The multimedia component 808 includes a screen that provides an output interface between the device 800 and a user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 808 includes a front facing camera and/or a rear facing camera. The front camera and/or the rear camera may receive external multimedia data when the device 800 is in an operating mode, such as a shooting mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.

The audio component 810 is configured to output and/or input audio signals. For example, the audio component 810 includes a Microphone (MIC) configured to receive external audio signals when the device 800 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may further be stored in the memory 804 or transmitted via the communication component 816. In some embodiments, audio component 810 also includes a speaker for outputting audio signals.

The input/output interface 812 provides an interface between the processing component 802 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.

The sensor assembly 814 includes one or more sensors for providing various aspects of state assessment for the device 800. For example, the sensor assembly 814 may detect the open/closed status of the device 800, the relative positioning of components, such as a display and keypad of the device 800, the sensor assembly 814 may also detect a change in the position of the device 800 or a component of the device 800, the presence or absence of user contact with the device 800, the orientation or acceleration/deceleration of the device 800, and a change in the temperature of the device 800. Sensor assembly 814 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 814 may also include a photosensor, such as a Complementary Metal Oxide Semiconductor (CMOS) image sensor or a Charge-coupled Device (CCD), for use in imaging applications. In some embodiments, the sensor assembly 814 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

The communication component 816 is configured to facilitate communication between the apparatus 800 and other devices in a wired or wireless manner. The apparatus 800 may access a wireless network based on a Communication standard, such as WiFi, a second Generation Communication Technology (2nd-Generation Communication Technology, abbreviated as 2G), a third Generation Communication Technology (3rd-Generation Communication Technology, abbreviated as 3G), a fourth Generation Communication Technology (4th-Generation Communication Technology, abbreviated as 4G) or a fifth Generation Communication Technology (5th-Generation Communication Technology, abbreviated as 5G), or a combination thereof. In an exemplary embodiment, the communication component 816 receives a broadcast signal or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the Communication component 816 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, Infrared Data Association (IrDA) technology, Ultra Wide Band (UWB) technology, Bluetooth (BT) technology, and other technologies.

In an exemplary embodiment, the apparatus 800 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors or other electronic components for performing the above-described methods.

In an exemplary embodiment, a non-transitory computer-readable storage medium comprising instructions, such as the memory 804 comprising instructions, executable by the processor 820 of the device 800 to perform the above-described method is also provided. For example, the non-transitory computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.

Example four

Fig. 6 is a schematic structural diagram of an electronic device provided in an embodiment of the present application, and as shown in fig. 6, the electronic device includes:

a processor (processor)291, the electronic device further including a memory (memory) 292; a Communication Interface 293 and bus 294 may also be included. The processor 291, the memory 292, and the communication interface 293 may communicate with each other via the bus 294. Communication interface 293 may be used for the transmission of information. Processor 291 may invoke logic instructions in memory 292 to perform the methods of the embodiments described above.

Further, the logic instructions in the memory 292 may be implemented in software functional units and stored in a computer readable storage medium when sold or used as a stand-alone product.

The memory 292 is a computer-readable storage medium for storing software programs, computer-executable programs, such as program instructions/modules corresponding to the methods in the embodiments of the present application. The processor 291 executes the functional application and data processing by executing the software program, instructions and modules stored in the memory 292, so as to implement the method in the above method embodiments.

The memory 292 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal device, and the like. Further, the memory 292 may include a high speed random access memory and may also include a non-volatile memory.

The present application provides a non-transitory computer-readable storage medium, in which computer-executable instructions are stored, and when executed by a processor, the computer-executable instructions are used to implement the method according to the foregoing embodiments.

Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.

It will be understood that the present application is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.

Claims

1. A battery system early warning method is characterized by comprising the following steps:

acquiring current actual environmental parameters and actual early warning parameters of a battery system; the actual early warning parameters comprise the current battery expansion force and the battery expansion force change rate;

searching early warning threshold values under all the environmental parameters according to the actual environmental parameters to obtain early warning threshold values under the actual environmental parameters; the early warning threshold value under each environmental parameter is obtained by constructing a battery system simulation model, selecting a plurality of environmental parameters to input into the battery system simulation model, and carrying out simulation test; the early warning threshold value comprises a battery expansion force threshold value and a battery expansion force change rate threshold value;

and if at least one actual early warning parameter exceeds the corresponding early warning threshold value under the actual environment parameter, executing alarm processing.

2. The method of claim 1, further comprising:

building a battery system simulation model; acquiring a plurality of groups of environmental parameters;

respectively inputting the plurality of groups of environmental parameters into the battery system simulation model to obtain working parameter values of the battery system under each group of environmental parameters when the battery system works normally, wherein the working parameter values comprise battery expansion force and battery expansion force change rate;

and obtaining the early warning threshold value under the environmental parameters according to the working parameters of the normal work of the battery system under each group of environmental parameters and the preset safety factor.

3. The method of claim 2, wherein obtaining multiple sets of environmental parameters comprises:

determining a plurality of environment parameter types, and setting a plurality of environment parameter values for each environment parameter type;

and combining the environmental parameter values under a plurality of environmental parameter types to obtain the plurality of groups of environmental parameters.

4. The method of claim 1, further comprising:

if the actual environment parameters do not exist in the environment parameters, selecting the adjacent environment parameters closest to the parameter values of the actual environment parameters from the environment parameters;

and calculating to obtain the early warning threshold value under the actual environmental parameter by adopting an interpolation method according to the early warning threshold value under the adjacent environmental parameter.

5. The method of claim 1, wherein the early warning parameters further comprise a battery temperature and a battery temperature change rate, and wherein the early warning thresholds further comprise a battery temperature threshold and a battery temperature change rate threshold.

6. The method according to any of claims 1-5, wherein the type of the actual environmental parameter comprises at least one of: initial pre-tightening force of the battery, battery temperature, battery state of charge, battery health and current.

7. A battery system early warning device, comprising:

the acquisition module is used for acquiring the current actual environmental parameters and the actual early warning parameters of the battery system; the actual early warning parameters comprise the current battery expansion force and the battery expansion force change rate;

the searching module is used for searching early warning threshold values under all the environmental parameters according to the actual environmental parameters to obtain the early warning threshold values under the actual environmental parameters; the early warning threshold value under each environmental parameter is obtained by constructing a battery system simulation model, selecting a plurality of environmental parameters to input into the battery system simulation model, and carrying out simulation test; the early warning threshold value comprises a battery expansion force threshold value and a battery expansion force change rate threshold value;

and the execution module is used for executing alarm processing if at least one actual early warning parameter exceeds the corresponding early warning threshold value under the actual environment parameter.

8. The apparatus of claim 7, further comprising:

the building module is used for building a battery system simulation model; acquiring a plurality of groups of environmental parameters;

the simulation module is used for respectively inputting the plurality of groups of environmental parameters into the battery system simulation model to obtain working parameter values of the battery system under each group of environmental parameters when the battery system works normally, wherein the working parameter values comprise battery expansion force and battery expansion force change rate;

and the calculation module is used for obtaining the early warning threshold value under the environmental parameters according to the working parameters of the normal work of the battery system under each group of environmental parameters and the preset safety factor.

9. The apparatus of claim 8,

the construction module is specifically used for determining a plurality of environment parameter types and setting a plurality of environment parameter values for each environment parameter type;

the building module is specifically configured to combine the environmental parameter values under multiple environmental parameter types to obtain the multiple sets of environmental parameters.

10. The apparatus of claim 7,

the searching module is further configured to select an adjacent environment parameter closest to a parameter value of the actual environment parameter from the environment parameters if the actual environment parameter does not exist in the environment parameters;

the searching module is further configured to calculate the early warning threshold value under the actual environmental parameter by using an interpolation method according to the early warning threshold value under the adjacent environmental parameter.

11. The apparatus of claim 7, wherein the pre-warning parameters further comprise a battery temperature and a rate of change of the battery temperature, and wherein the pre-warning thresholds further comprise a battery temperature threshold and a rate of change of the battery temperature threshold.

12. The apparatus according to any of claims 7-11, wherein the type of the actual environment parameter comprises at least one of: initial pre-tightening force of the battery, battery temperature, battery state of charge, battery capacity and current.

13. An electronic device, comprising: a processor, and a memory communicatively coupled to the processor;

the memory stores computer-executable instructions;

the processor executes computer-executable instructions stored by the memory to implement the method of any of claims 1-6.

14. A computer-readable storage medium having computer-executable instructions stored therein, which when executed by a processor, are configured to implement the method of any one of claims 1-6.