CN115275396A - Battery protection technology and battery pack - Google Patents
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- CN115275396A CN115275396A CN202210981561.9A CN202210981561A CN115275396A CN 115275396 A CN115275396 A CN 115275396A CN 202210981561 A CN202210981561 A CN 202210981561A CN 115275396 A CN115275396 A CN 115275396A
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
- H01M10/4207—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells for several batteries or cells simultaneously or sequentially
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M50/00—Constructional details or processes of manufacture of the non-active parts of electrochemical cells other than fuel cells, e.g. hybrid cells
- H01M50/20—Mountings; Secondary casings or frames; Racks, modules or packs; Suspension devices; Shock absorbers; Transport or carrying devices; Holders
- H01M50/204—Racks, modules or packs for multiple batteries or multiple cells
Abstract
The application relates to the technical field of battery correlation, in particular to a battery protection method and a battery pack, wherein the method comprises the steps of firstly determining battery abnormity; then determining the processing priority of the battery abnormity based on a preset priority strategy and the battery abnormity; and then processing the battery exception based on the processing priority. Therefore, when a plurality of batteries are abnormal, the battery abnormality can be orderly processed based on the processing priority, the abnormality of the plurality of batteries is avoided being processed simultaneously, the processing processes are influenced mutually, and the efficiency and the effect of processing the battery abnormality are greatly improved.
Description
Technical Field
The application relates to the technical field of battery correlation, in particular to a battery protection technology and a battery pack.
Background
With the increasing awareness of environmental protection and the development of battery technology, more and more devices are powered by electric energy. The protection technology for the battery is still in a starting stage. In the prior art, various abnormalities of the battery are generally protected and recovered through simple hardware, the requirement on the performance of the hardware in the protection and recovery process is high, and various abnormal protection and recovery actions are easily influenced with each other, so that the protection and recovery effects of the battery are poor.
Disclosure of Invention
The present invention is directed to a battery protection method and a battery pack.
In a first aspect, the present invention provides a battery protection method, including:
determining that the battery is abnormal;
determining the processing priority of the battery abnormity based on a preset priority strategy and the battery abnormity;
and processing the battery exception based on the processing priority.
Optionally, the method further comprises: acquiring state information of a battery;
the determining the battery abnormality includes: determining whether there is a battery abnormality and an abnormal state value corresponding to the battery abnormality based on the state information of the battery, the abnormal state value including the state information of the battery at the time when it is determined that there is an abnormality in the battery.
Optionally, the preset priority policy includes:
when the number of the battery abnormity is one, determining that the battery abnormity is the most prior abnormity;
when the number of the battery abnormalities is at least two, among the battery abnormalities, a most-priority abnormality is determined based on a degree of difference between the abnormal state value and a preset threshold.
Optionally, the preset threshold includes an exception trigger value and a job limit value.
Optionally, the determining a most-prior anomaly based on the degree of difference between the anomaly status value and a preset threshold includes:
determining the battery abnormality with the maximum abnormality degree ratio as the most-preferred abnormality;
the abnormality degree ratio is a ratio of a first difference value to a second difference value, the first difference value is a difference value between the abnormal state value and the abnormality trigger value, and the second difference value is a difference value between the operation limit value and the abnormality trigger value.
Optionally, the processing the battery exception based on the processing priority includes:
performing protection processing and recovery processing on the most-prior exception;
and returning to the step of determining the processing priority of the battery abnormity based on the preset priority strategy and the battery abnormity when the optimal abnormity is recovered and the unprocessed battery abnormity exists.
Optionally, the processing the battery exception based on the processing priority includes:
performing protection processing and recovery processing on the most-prior exception;
and returning to the step of determining that the battery is abnormal after the most-prior abnormality is recovered.
Optionally, after the determining that the battery is abnormal, the method further comprises: generating and storing an abnormality identifier corresponding to the battery abnormality, and deleting the abnormality identifier corresponding to the battery abnormality after the battery abnormality is recovered;
the determining the processing priority of the battery abnormity based on the preset priority strategy and the battery abnormity comprises the following steps: and determining the processing priority of the battery abnormity based on the preset priority strategy and the abnormity identifier corresponding to the battery abnormity.
Optionally, the method further includes sending the abnormal identifier and the priority processing to the preset terminal;
and receiving a control instruction sent by the preset terminal, wherein the control instruction comprises a processing execution instruction and/or an abnormal identifier clearing instruction, the processing execution instruction is used for determining whether to execute battery abnormal processing, and the abnormal identifier clearing instruction is used for forcibly clearing the abnormal identifier.
In a second aspect, the present application further provides a battery pack, which includes a battery module and a battery management system, where the battery management system is configured to execute the battery protection method described above.
The application provides a battery protection method and a battery pack, wherein the method comprises the steps of firstly determining battery abnormity; then, determining the processing priority of the battery abnormity based on a preset priority strategy and the battery abnormity; and then processing the battery exception based on the processing priority. Therefore, when a plurality of batteries are abnormal, the battery abnormality can be orderly processed based on the processing priority, the abnormality of the plurality of batteries is avoided being processed simultaneously, the processing processes are influenced mutually, and the efficiency and the effect of processing the battery abnormality are greatly improved.
Drawings
The above and other objects, features and advantages of the present application will become more apparent by describing in more detail embodiments of the present application with reference to the attached drawings. The accompanying drawings are included to provide a further understanding of the embodiments of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the principles of the application. In the drawings, like reference numbers generally represent like parts or steps.
Fig. 1 is a schematic flow chart of a battery protection method according to an embodiment of the present invention.
Fig. 2 is a schematic diagram of a priority policy in a battery protection method according to an embodiment of the present application.
Fig. 3 is a schematic flow chart illustrating processing of battery exception in the battery protection method according to the embodiment of the present application.
Fig. 4 is a schematic flow chart of a battery protection method according to an embodiment of the present application.
Fig. 5 is a schematic flow chart illustrating a process of handling a battery abnormality in a battery protection method according to another embodiment of the present application.
Fig. 6 is a schematic flow chart of a battery protection method according to an embodiment of the present application.
Fig. 7 is a schematic flow chart of a battery protection method according to still another embodiment of the present application.
Fig. 8 is a schematic structural diagram of a battery pack according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
Application overview:
a Battery Management System (BMS), commonly known as a Battery caregiver or a Battery manager, is used to manage the power supply of a Battery and to perform an abnormal protection and an abnormal recovery of the Battery together with various external or embedded sub-modules when the Battery is abnormal, such as overcurrent, overvoltage, undervoltage, high temperature and low temperature, for example, when the Battery is abnormal, such as overcurrent and overvoltage, the Battery power is reduced, and the Battery is cooled at high temperature, so as to ensure the safety of the Battery.
In the prior art, when multiple abnormalities exist in the battery at the same time, the existing abnormalities are generally processed at the same time, but the multiple abnormalities are recovered at the same time, so that the requirements on the performance of the BMS or the submodule are high; moreover, various exceptions are processed simultaneously, because the processing operation of each exception is not completely the same, there may exist an exception recovery processing operation, which results in the aggravation of another battery exception, so that the recovery effect of another exception is not good or even no effect, the overall battery exception processing logic is disordered, and the time and energy are consumed; in addition, when one battery abnormality is handled, another battery abnormality may also disappear, and at this time, the multiple battery abnormalities are handled simultaneously, which undoubtedly results in waste of energy. Therefore, the conventional method for handling the battery abnormality has the problems of logic disorder and low recovery efficiency.
The method comprises the following steps:
fig. 1 is a schematic flow diagram of a battery protection method according to an embodiment of the present invention, and as shown in fig. 1, the battery protection method provided in the present application includes:
s101, determining that the battery is abnormal.
Specifically, determining a battery abnormality is to determine whether the battery has an abnormality, and the number of the battery abnormalities may be plural in general, so determining the battery abnormality includes determining whether the battery abnormality exists, and determining what the plural battery abnormalities are, specifically, such as an overcurrent abnormality, an overvoltage abnormality, an undervoltage abnormality, a high-temperature abnormality, a low-temperature abnormality, and the like.
For example, the BMS is composed of a BMS body, which may include a microcontroller or the like, and an analog front-end IC. Data such as current, voltage and temperature of the battery can be collected through an analog front-end IC (integrated circuit) in the BMS (battery management system), and whether the battery is abnormal or not can be determined through processing of a data processing module of the BMS.
It should be noted that after the state information of the battery is acquired, the state information is processed by the data processing module and is processed by other modules of the BMS together, and finally the battery abnormality is determined; the information of the battery abnormality existing in the data processing module can also be directly obtained, and the battery abnormality information is transferred to other modules of the BMS, such as the microcontroller module, in the form of abnormality triggering.
S102, determining the processing priority of the battery abnormity based on the preset priority strategy and the battery abnormity.
Specifically, after determining the battery abnormality, that is, determining whether the battery abnormality exists, and the number and the type of the abnormality, the priority for processing the battery abnormality is determined according to a preset priority policy. For example, by correspondence or calculation, a battery abnormality of one or more unique battery abnormalities is regarded as a battery abnormality that needs to be handled or a most-preferred abnormality, and other battery abnormalities other than the above-identified battery abnormality that needs to be handled or a most-preferred abnormality among the plurality of battery abnormalities are regarded as abnormalities to be handled, or the plurality of battery abnormalities are sorted, so that a handling order of the battery abnormalities is obtained.
And S103, processing the battery abnormity based on the processing priority.
Specifically, after determining that the battery to be processed is abnormal or the most priority abnormal, it is necessary to perform operations such as abnormal protection and abnormal recovery. The operation mode and state of the battery are changed by the BMS or by the BMS controlling the sub-modules or terminals connected to the BMS. For the battery abnormality which does not need to be processed or the battery abnormality which does not have the highest priority abnormality, the battery abnormality which does not need to be processed or the battery abnormality which does not need to be processed is not processed or is not processed temporarily, and after the battery abnormality which needs to be processed or the battery abnormality which has the highest priority abnormality is processed, whether the battery abnormality is processed or not and what kind of processing is performed on the battery abnormality are determined. Therefore, the orderliness of battery exception handling is ensured, and the simultaneous handling and mutual influence of multiple battery exceptions are avoided, so that the efficiency and the effect of battery exception handling are improved.
The embodiment of the application provides a battery protection method, which comprises the steps of firstly collecting and processing state information of a battery through a front end and a data processing module, and then determining whether the battery is abnormal and the number and the type of the abnormal battery based on the state information of the battery; and then, based on a preset priority strategy, carrying out priority determination on the battery abnormity to obtain a processing priority, and finally, processing the battery abnormity to be processed or the most-preferred abnormity based on the obtained processing priority, and carrying out no processing or temporary no processing on the abnormity to be processed or the non-most-preferred abnormity, so that the high-priority battery abnormity is guaranteed to be processed first, the influence of other battery abnormity processing processes on the high-priority battery abnormity processing is avoided, and the battery abnormity processing efficiency and effect are improved.
In some embodiments, the above-mentioned process of determining the battery abnormality includes, in addition to determining the type of the battery abnormality, determining the state information of the battery at the time when the battery abnormality exists, that is, the abnormal state values, such as the current value at the time when the overcurrent abnormality occurs, the voltage value at the time when the overvoltage or undervoltage abnormality occurs, the temperature information value at the time when the high-temperature or low-temperature abnormality occurs, and the like.
Correspondingly, when the battery abnormity is determined to comprise the state information of the battery when the abnormity occurs, the processing priority of the battery abnormity is determined based on the battery abnormity and the preset priority strategy, and the processing priority of the battery abnormity can also be comprehensively obtained based on the type and the abnormal state value of the battery abnormity and the preset priority strategy, so that the most-priority abnormity can be determined according to the abnormal degree of various battery abnormalities, the battery abnormity which is more dangerous or has higher damage degree to the battery is preferentially processed, and the safety of the battery is further ensured.
Fig. 2 is a schematic diagram of a priority policy in a battery protection method provided in an embodiment of the present application, where as shown in fig. 2, the priority policy includes: when the number of the battery abnormalities is one, determining that the battery abnormalities are the most-priority abnormalities; when the number of battery abnormalities is at least two, among the battery abnormalities, the most priority abnormality is determined based on the degree of difference between the abnormality state value and the preset threshold value.
Specifically, for different abnormal numbers of batteries, the priority policy is divided into two cases:
the first is that when there is only one battery abnormality, no matter what kind of abnormality the battery is, and what degree the battery is abnormal, because only this kind of battery abnormality needs to be handled, there is no problem that the abnormality handling interferes with each other, so it only needs to determine the battery abnormality as the most preferred abnormality, and then handle the battery abnormality, for example, when there is only an under-voltage abnormality, it determines the under-voltage abnormality as the most preferred abnormality, and directly handles the battery such as under-voltage protection and under-voltage recovery.
The second is when there are multiple battery abnormalities at the same time, in this case, the most priority abnormality can be determined according to the degree of abnormality of the battery abnormality. For example, an under-voltage abnormality and a low-temperature abnormality exist simultaneously, the under-voltage abnormality reaches a degree that the battery device is about to be permanently damaged, the low-temperature abnormality is only a degree that the low-temperature abnormality is just triggered, the battery device cannot be greatly damaged, and the under-voltage abnormality is determined as the most-preferred abnormality at the moment.
In practical applications, the degree of abnormality may be calculated from the abnormal state value of the battery abnormality. For example, there are both the under-voltage abnormality and the low-temperature abnormality, and the abnormality degree of the voltage abnormality is determined by the abnormal state value of the under-voltage abnormality, i.e., the voltage value, and the abnormality degree of the low-temperature abnormality is determined by the abnormal state value of the low-temperature abnormality, i.e., the temperature value, and the abnormality degrees of the low-temperature abnormality are compared, and the battery abnormality having a larger abnormality degree, i.e., the under-voltage abnormality, is taken as the most-priority abnormality.
In some embodiments, in determining the degree of abnormality of the battery abnormality, the calculation determination may be realized by the state information of the battery at the time of occurrence of the abnormality, i.e., the degree of difference between the abnormal state value and a preset threshold value. For example, the preset threshold value may include an abnormality trigger value, which is a value that triggers an abnormal state or abnormal protection, and an operation limit value, which is a value that, when operating in a state exceeding the value, the battery will permanently fail, such as a low-voltage permanent failure value, a high-voltage permanent failure value, a low-temperature permanent failure value, a high-temperature permanent failure value, and a short-circuit current value (a value at which a circuit is broken when the circuit is short-circuited, and thus a short-circuit current is taken as an operation limit value of a current).
Specifically, a ratio for indicating the degree of abnormality of the battery abnormality, that is, an abnormality degree ratio, may be calculated from the abnormal state value, the abnormality trigger value, and the operation limit value by an equal-ratio method by calculating the ratio, and the battery abnormality having the largest abnormality degree ratio is determined as the most-preferred abnormality.
For example, taking the under-voltage abnormality as an example, a difference between an abnormal state value corresponding to the under-voltage abnormality and an abnormality trigger value of the under-voltage abnormality is taken as a first difference, a difference between an operation limit value of the under-voltage abnormality and an abnormality trigger value of the under-voltage abnormality is taken as a second difference, and a ratio of the first difference to the second difference is taken as an abnormality degree ratio, which can be expressed as an abnormality degree ratio = (abnormal state value-abnormality trigger value)/(operation limit value-abnormality trigger value).
Based on the calculation method of the abnormal degree ratio, when various battery abnormalities exist, the abnormal degree ratio of each battery abnormality is calculated respectively, and then the battery abnormality with the maximum abnormal degree ratio is determined as the most-prior abnormality. For example, when a current abnormality, an under-voltage abnormality and a low-temperature abnormality exist at the same time, the abnormality degree ratio of the current abnormality is calculated to be greater than the abnormality degree ratio of the under-voltage abnormality and the abnormality degree ratio of the low-temperature abnormality respectively through the method, and then the current abnormality is taken as the most-preferred abnormality.
In other embodiments of the present application, under different requirements of response time, performance, and accuracy, it is also possible to directly determine the most prioritized abnormality only by the kind of the battery abnormality when there are multiple battery abnormalities at the same time. For example, the priority of the current abnormality processing is higher than that of the low-temperature abnormality, and when only the low-temperature abnormality and the current abnormality exist at the same time, the current abnormality is directly determined as the most-priority abnormality, and the current abnormality is processed preferentially. In other implementations, of course, the ratio of the abnormality degrees may be determined based on the ratios of the abnormality state values, the abnormality trigger values, and the operation limit values, and the scheme of determining the most-preferred abnormality based on the ratio of the abnormality degrees may be combined with the scheme of determining the most-preferred abnormality based on the types of the battery abnormalities, and the most-preferred abnormality may be comprehensively determined by integrating the schemes according to different proportionality coefficients.
On the basis of the foregoing embodiment, in the present application, after determining the processing priority, the method further includes processing the battery exception based on the processing priority, and fig. 3 is a schematic flow diagram illustrating processing the battery exception in the battery protection method provided in the embodiment of the present application, as shown in fig. 3, in the present embodiment, the processing the battery exception based on the processing priority includes:
s301, performing protection processing and recovery processing on the most-prior exception.
Specifically, after the top-priority exception is determined, protection is performed on the top-priority exception first, and then the top-priority exception is recovered in the protection process. For example, when the under-voltage abnormality is the most preferred abnormality, the under-voltage protection mechanism is started first to perform the under-voltage protection on the battery and the related circuit, and during the under-voltage protection, the corresponding under-voltage recovery mechanism is started, for example, the battery and the circuit are charged through the charging submodule and the like.
It can be understood that, when protecting the most-prior exception, not only the protection mechanism corresponding to the most-prior exception is started, including the corresponding protection module is started, the protection mechanisms of other battery exceptions are closed, and similarly, when recovering the most-prior exception, the recovery mechanisms and recovery modules of other exceptions are also closed, so that the protection and recovery of the most-prior exception are not affected by the protection mechanisms and recovery mechanisms of other battery exceptions, thereby protecting and recovering the most-prior exception at the highest speed.
S302, detecting whether unprocessed abnormity exists or not.
Specifically, since there may be a plurality of battery anomalies, when one of the battery anomalies is treated as the most-preferred anomaly and the most-preferred anomaly has been recovered, some of the other battery anomalies may be recovered due to the treatment or recovery of the most-preferred anomaly, or some battery anomalies may still exist without being affected by the treatment or recovery of the most-preferred anomaly. Therefore, in the embodiment of the present application, after the top-priority abnormality is recovered, other unprocessed abnormalities are detected, and it is determined whether or not there is an unprocessed battery abnormality.
And S303, if the unprocessed battery abnormity exists, returning to the step of determining the processing priority of the battery abnormity based on the preset priority strategy and the battery abnormity based on the unprocessed battery abnormity.
And S304, stopping the operation if the unprocessed battery abnormity does not exist.
Specifically, when there is an unprocessed battery abnormality, the step of determining the processing priority is returned, that is, as mentioned in the above embodiment, the processing priority of the battery abnormality is determined based on the priority policy and the battery abnormality, the most-preferred abnormality is newly determined among the unprocessed battery abnormalities, and the newly determined most-preferred abnormality is protected and recovered. And circulating in this way, processing the current most-prior abnormity every time, and detecting whether unprocessed battery abnormity exists again after the current most-prior abnormity is recovered, if the unprocessed battery abnormity exists, determining the most-prior abnormity again in the current unprocessed battery abnormity, protecting and recovering the most-prior abnormity until the unprocessed battery abnormity does not exist, and stopping the action.
The above battery protection method will be described in a complete implementation process, and fig. 4 is a schematic flow chart of a battery protection method according to an embodiment of the present application, and as shown in fig. 4, the battery protection method includes:
s401, determining that the battery is abnormal.
Specifically, the state information of the battery can be collected through a preset collection module and a data processing module, or a module of the BMS, and whether the battery is abnormal, the type of the battery abnormality and the degree of the abnormality are determined based on the state information of the battery.
S402, determining the most priority exception based on the preset priority policy and the battery exception.
When only one abnormal condition exists, the battery abnormal condition is directly determined as the most priority abnormal condition, and when a plurality of battery abnormal conditions exist simultaneously, only one battery abnormal condition is determined as the most priority abnormal condition according to the method for determining the most priority abnormal condition in the process.
And S403, processing the most-priority exception.
Including exception protection and exception recovery for the most preferred exception.
S404, detecting and judging whether unprocessed battery abnormity exists.
When only one battery abnormality is determined, unprocessed abnormality does not exist at this time, and S405 is directly executed; when there are a plurality of battery abnormalities determined previously, there is also generally an unprocessed battery abnormality because the above process deals with only the most advanced abnormality. And if the unprocessed battery abnormity exists, returning to the step S402, redetermining the most-priority abnormity in the current battery abnormity, processing the redetermined most-priority abnormity, detecting and judging whether the unprocessed battery abnormity exists again after the battery abnormity is recovered, circulating until the unprocessed battery abnormity does not exist, and executing the step S405 when the unprocessed battery abnormity does not exist.
S405, stopping the operation.
In practical applications, in the process of processing the most-prior exception and waiting for the most-prior exception to recover, not only the battery exception that is not processed before may change, but also a new battery exception may occur in the process, as shown in fig. 5, fig. 5 is a schematic flow diagram illustrating the processing of the battery exception in the battery protection method according to another embodiment of the present application, where in this embodiment, the processing of the battery exception based on the processing priority includes:
s501, protection processing and recovery processing are carried out on the most-priority exception.
Specifically, the method includes protecting the most preferred exception first, and recovering the exception based on the protection, and a specific process is the same as the implementation manner of the step S301 in the foregoing embodiment, and is not described herein again.
And S502, after the most-prior abnormity is recovered, returning to the step of determining the battery abnormity.
And when the most-priority-based abnormal is recovered, returning to the step of determining the battery abnormality again, as in the above-described embodiment, re-determining whether the battery has an abnormality, the type of the battery abnormality, and the abnormality degree ratio of the battery abnormality according to the battery state value at the time of the abnormality occurrence, based on the battery state information at that time, and determining the processing priority and processing the most-priority-based abnormality based on the processing priority, and the like, on the basis of the newly determined battery abnormality.
It should be noted that, both the exception handling and the collection of the battery state data may be performed by a separate execution module component, for example, the exception handling may be performed by an exception protection and exception recovery module, and the collection and the data handling of the battery state data may be performed by a data collection and data handling module, which may operate independently, so that the data collection may be performed all the time, including maintaining the collection of the state data of the battery while the exception protection and exception recovery module performs protection and recovery processing on the most-prior exception.
The determination of the battery abnormality may be performed based on the state information of the battery at that time after the most-preferred abnormality is recovered each time, or may be performed in the process of abnormality processing, by obtaining the battery abnormality information based on the state information of the battery, and pushing the battery abnormality information to a specific module after the most-preferred abnormality is recovered each time, thereby completing the determination of the previous battery abnormality.
The above battery protection method will be described in the following with a complete implementation process, and fig. 6 is a schematic flow diagram of a battery protection method provided in an embodiment of the present application, as shown in fig. 6, the battery protection method in this embodiment includes:
s601, determining that the battery is abnormal.
The method specifically comprises the steps of determining the type of the battery abnormity, the corresponding abnormity degree and the like.
S602, determining the most priority exception based on the preset priority policy and the battery exception.
When only one abnormal condition exists, the battery abnormal condition is directly determined as the most priority abnormal condition, and when a plurality of battery abnormal conditions exist simultaneously, only one battery abnormal condition is determined as the most priority abnormal condition according to the method for determining the most priority abnormal condition in the process.
And S603, processing the most priority exception.
The method comprises the steps of protecting and recovering the most-prior abnormity, returning to the step S601 after the most-prior abnormity is recovered, determining the battery abnormity again based on the collected data, determining the current most-prior abnormity again, processing the current most-prior abnormity for a while, and circulating the steps so as to continuously detect whether the battery is abnormal, and timely protecting and recovering the abnormity when the abnormity exists.
By re-determining the battery abnormity after the most-prior abnormity is recovered every time, the abnormity processing can be performed aiming at the current state of the battery after the optimal abnormity is recovered every time, so that the abnormity of a new battery which needs to be processed more urgently can be found in time, and the new battery is protected and recovered, the battery protection effect is further improved, and the safety of the battery is improved.
On the basis of the foregoing embodiment, the battery protection method provided in the present application may further include recording and controlling determination, processing, and the like of the battery abnormality through an abnormality flag corresponding to the battery abnormality, including: after the battery abnormity is determined, generating and storing an abnormity identifier corresponding to the battery abnormity; and controlling the battery exception processing based on the exception identifier.
Specifically, the abnormality flag may be an abnormality flag, and when it is determined that there is a battery abnormality, an abnormality flag corresponding to each battery abnormality may be generated, and when one battery abnormality is processed each time, the abnormality flag corresponding to the battery abnormality may be deleted, thereby implementing the determination and processing of the battery abnormality.
In other embodiments, an abnormality flag corresponding to each battery abnormality may be generated in advance, when it is determined that there is a certain abnormality or that it is necessary to handle a certain abnormality, the abnormality flag corresponding to the battery abnormality is raised, and after a certain battery abnormality is recovered, the abnormality flag corresponding to the battery abnormality is dropped, thereby improving efficiency.
Furthermore, in order to improve the stability of the battery and the power supply of the BMS to the power supply device, the communication module which operates independently and is connected to the BMS or the communication module integrated in the BMS may be used to communicate with a preset terminal in the process of determining the abnormality, determining the priority for processing the abnormality and processing the battery abnormality, so as to feed back the abnormality information and the abnormality processing information to the terminal and receive the control command of the terminal, thereby facilitating the control of the terminal on the abnormality processing.
Specifically, after determining that the battery is abnormal, the method first sends the battery abnormal information to the terminal, for example, an abnormal flag generated or lifted based on the battery abnormality can be sent to the terminal through the communication module, so that the terminal can know the battery state; after determining the processing priority of the battery abnormity, continuously and repeatedly sending the processing priority to the terminal, for example, sending the determined most-prior abnormity information about to be subjected to abnormity processing and an abnormity flag corresponding to the information to the terminal for the terminal to know the abnormity to be processed; and also includes transmitting status information of the battery, such as battery current, voltage, and temperature, etc., for determining the abnormality of the battery, to the terminal.
Correspondingly, besides sending information to the terminal, the method can also receive a control instruction sent by the terminal, and the packet block receives a processing execution instruction and an abnormal identifier clearing instruction sent by the terminal. The processing execution instruction is used for determining whether to execute the battery exception processing, and the exception identifier clearing instruction is used for forcibly clearing the exception identifier
It should be noted that, the terminal may pre-store processing measures corresponding to battery abnormality, for example, for overvoltage abnormality, the abnormality processing includes performing overvoltage protection, reducing battery power, and the like. After sending the processing priority to the terminal, that is, when notifying the terminal of the battery abnormality to be processed, the terminal may know the action to be performed next for the most advanced abnormality, at which time the terminal may send a processing non-execution instruction if the abnormality processing operation cannot be performed based on other factors, so as to control the BMS or the like to stop performing the abnormality processing action, and send an abnormality flag clearing instruction, the BMS or the like stops the processing to be performed for the most advanced abnormality upon receiving the execution instruction regarding the stop processing, and clears the corresponding abnormality flag (that is, representing that the priority determination and subsequent processing for the abnormality are not required) upon receiving the abnormality flag clearing instruction.
In addition, in order to reduce energy consumption, the BMS may further transmit the most-priority abnormality information to be processed to the terminal through the communication module for a plurality of times in a short time after determining the most-priority abnormality, and then turn off the transmission function of the communication module. However, since the control command of the terminal needs to be received, the receiving function of the communication module can be kept on continuously.
It should be noted that the battery protection method provided in the embodiment of the present application may be directly applied to a battery management system, namely a BMS, and is used to perform exception protection on a battery including a small-sized power intelligent battery, improve the stability of the BMS and the battery, improve the authenticity of an exception record of the BMS, and improve the reliability of battery hardware, and may also be applied to other hardware, such as other systems including a controller, or other battery types, to implement protection on the battery, which is not limited herein.
The following describes a battery protection method provided by the present application in a complete process, and fig. 7 is a schematic flow chart of a battery protection method according to another embodiment of the present application, as shown in fig. 7, where the battery protection method includes:
and S701, collecting the state information of the battery.
The state information of the battery includes information such as voltage, current, and temperature of the battery.
S702, determining that the battery is abnormal.
Specifically, whether a battery is abnormal is judged based on the collected state information, if so, an abnormal mode is entered, and the subsequent step S703 is entered; and if the battery abnormity does not exist, stopping running and not carrying out subsequent processes.
S703, recording the abnormal flag, and sending the abnormal flag to the preset terminal.
Specifically, the recording of the abnormal flag may be to generate a corresponding abnormal flag based on the existing battery abnormality, or to lift the abnormal flag corresponding to the existing battery abnormality from the preset stored abnormal flags. And meanwhile, sending the abnormal flag which is just generated or raised to the preset terminal for the preset terminal to know the battery state.
S704, determining the most-preferred abnormity, and sending the abnormity flag of the most-preferred abnormity to a preset terminal.
Specifically, the most preferred exception is determined based on a preset priority policy. And sending the information of the most-preferred exception, such as an exception flag, to the preset terminal, so that the preset terminal can know the most-preferred exception, namely the exception of the battery to be processed.
S705, the most prior exception is processed.
Specifically, what kind of processing is performed on the abnormality may be preset and stored in each abnormality sub-mode, for example, the current abnormality sub-mode, the overvoltage abnormality sub-mode, the undervoltage abnormality sub-mode, the low-temperature abnormality sub-mode, and the high-temperature abnormality sub-mode are included, and each abnormality sub-mode includes a protection measure and a recovery measure performed on the abnormality. And after the most-priority exception is determined, entering an exception sub-mode corresponding to the most-priority exception, and processing the most-priority exception to recover the most-priority exception.
And S706, detecting whether the battery is abnormal or not.
Specifically, the manner of detecting the presence or absence of an abnormality of the battery may be to directly detect whether there is an abnormality of another unprocessed battery than the most prioritized abnormality when determining the processing priority. In addition, because data collection and abnormity determination can be carried out all the time in the process of abnormity processing, whether newly discovered battery abnormity exists can also be determined through feedback of the data collection and abnormity determination module. If so, returning to the step S704, and repeatedly executing the step S704 and the subsequent steps based on the abnormality of the currently existing battery until no abnormality exists; if there is no abnormality, the process proceeds directly to step S707.
And S707, exiting the abnormal mode.
In addition, in the above process, the method further comprises receiving a control instruction of the terminal, and determining whether to execute the subsequent operation based on the control instruction. For example, the method may include whether to delete a certain abnormal flag directly, that is, not to process the battery abnormality corresponding to the abnormal flag, wherein it is understood that since the battery abnormality can be processed based on the abnormal flag, the terminal sends a command to delete the abnormal flag of a battery abnormality, or the method may be equivalent to controlling the BMS or the like not to perform all operations on the battery abnormality. And receiving a control instruction, and determining whether to execute a certain step to be executed next, so as to increase the control of the preset terminal on the battery abnormity.
In addition, it should be noted that, since data collection is performed all the time, when detecting whether there is still an abnormality after the most-prior abnormality recovery, detection can be completed by acquiring collected abnormal data, even a battery abnormality result newly determined based on the data at the time of abnormality.
According to the battery protection method provided by the embodiment of the application, priority processing is performed on the battery exceptions existing at the same time through a priority strategy to obtain the most-priority processing exception, then only the most-priority exception is processed, and when the most-priority exception is processed, other battery exceptions are not processed. Only when the most-priority exception is processed and recovered, the most-priority exception is re-determined and executed circularly for the existing battery exception, so that only the battery exception which needs to be processed most is processed at the same time, the influence of the protection and recovery of other battery exceptions on the protection and recovery of the battery which needs to be processed most preferentially is avoided, the battery exception which needs to be processed most preferentially is recovered at the highest speed, and the stability of battery protection is improved.
Battery pack embodiment：
Based on the same inventive concept, an embodiment of the present application further provides a battery pack, as shown in fig. 8, where the battery pack includes a battery module 1 and a battery management system 2, and the battery management system 1 is configured to execute the battery protection method provided in the foregoing method embodiment.
In the battery pack provided by the embodiment of the present application, the battery management system 1 executes the battery protection method provided by the above method embodiment, performs priority processing on the battery anomalies existing at the same time through a priority policy to obtain a most-priority processing anomaly, then only processes the most-priority anomaly, and when the most-priority anomaly is processed, other battery anomalies are not processed. Only after the most-priority exception processing is finished and the most-priority exception is recovered, the most-priority exception is re-determined and is executed circularly for the existing battery exception, so that only the battery exception which needs to be processed most is processed at the same time, the influence of the protection and recovery of other battery exceptions on the protection and recovery of the battery which needs to be processed most preferentially is avoided, the battery exception which needs to be processed most preferentially is recovered at the highest speed, and the stability of battery protection is improved.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A method of protecting a battery, comprising:
determining that the battery is abnormal;
determining the processing priority of the battery abnormity based on a preset priority strategy and the battery abnormity;
and processing the battery exception based on the processing priority.
2. The battery protection method of claim 1, further comprising: acquiring state information of a battery;
the determining the battery abnormality includes: determining whether there is a battery abnormality and an abnormal state value corresponding to the battery abnormality based on the state information of the battery, the abnormal state value including the state information of the battery at the time when it is determined that there is an abnormality in the battery.
3. The method of claim 2, wherein the pre-determined prioritization policy comprises:
when the number of the battery abnormity is one, determining that the battery abnormity is the most prior abnormity;
when the number of the battery abnormalities is at least two, among the battery abnormalities, a most-priority abnormality is determined based on a degree of difference between the abnormal state value and a preset threshold.
4. The battery protection method according to claim 3, wherein the preset threshold values include an abnormality trigger value and an operation limit value.
5. The battery protection method according to claim 4, wherein the determining of the most-priority abnormality based on the degree of difference between the abnormal-state value and a preset threshold value includes:
determining the battery abnormality with the maximum abnormality degree ratio as the most-preferred abnormality;
the abnormality degree ratio is a ratio of a first difference value to a second difference value, the first difference value is a difference value between the abnormal state value and the abnormality trigger value, and the second difference value is a difference value between the operation limit value and the abnormality trigger value.
6. The battery protection method of claim 1, wherein the handling the battery exception based on the handling priority comprises:
performing protection processing and recovery processing on the most-prior exception;
and returning to the step of determining the processing priority of the battery abnormity based on the preset priority strategy and the battery abnormity when the unprocessed battery abnormity exists after the optimal abnormity is recovered.
7. The battery protection method of claim 1, wherein the handling the battery exception based on the handling priority comprises:
performing protection processing and recovery processing on the most-prior exception;
and returning to the step of determining that the battery is abnormal after the most-prior abnormality is recovered.
8. The battery protection method according to claim 1, further comprising, after the determining that the battery is abnormal: generating and storing an abnormal identifier corresponding to the battery abnormality, and deleting the abnormal identifier corresponding to the battery abnormality after the battery abnormality is recovered;
the determining the processing priority of the battery abnormity based on the preset priority strategy and the battery abnormity comprises the following steps: and determining the processing priority of the battery abnormity based on the preset priority strategy and the abnormity identifier corresponding to the battery abnormity.
9. The battery protection method according to claim 8, further comprising sending the exception identifier and the priority processing to the preset terminal;
and receiving a control instruction sent by the preset terminal, wherein the control instruction comprises a processing execution instruction and/or an abnormal identifier clearing instruction, the processing execution instruction is used for determining whether to execute battery abnormal processing, and the abnormal identifier clearing instruction is used for forcibly clearing the abnormal identifier.
10. A battery pack comprising a battery module and a battery management system for performing the battery protection method according to any one of claims 1 to 9.
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