CN116125301A - Lithium battery reliability state evaluation method and system - Google Patents
Lithium battery reliability state evaluation method and system Download PDFInfo
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Abstract
The invention discloses a method and a system for evaluating the reliability state of a lithium battery, wherein the reliability parameters of each parameter of the current battery in a threshold interval are respectively calculated according to upper and lower threshold intervals of a plurality of parameters of the safe operation of the battery, and the reliability is lower as the reliability parameters are larger; and obtaining final reliability parameters of the battery according to the reliability of each parameter, and judging the reliability state of the battery by taking the final reliability parameters as the final reliability parameters of the battery. The calculated result has clear and quantifiable physical meaning, can directly evaluate the state of the current battery pack and maintain the current normal state, and has guiding meaning for the optimized operation of the system.
Description
Technical Field
The application relates to the technical field of battery state evaluation, in particular to a method and a system for evaluating the reliability state of a lithium battery.
Background
The lithium ion battery is favored in the energy storage field because of the advantages of high specific capacity, long cycle life, good multiplying power performance, environmental protection and the like, and is widely applied to the fields of consumer electronics, electric automobiles, communication base stations and the like. However, the safety of the lithium battery is always one of the main problems restricting the development of the lithium battery, and when the lithium battery is improperly used or abused, the lithium battery is disabled with certain safety risks, such as thermal runaway, gas expansion, liquid leakage, lithium precipitation, short circuit, expansion deformation and the like. There is a need to accurately evaluate the reliability parameters of a lithium battery (pack) to ensure safe and stable operation of the battery energy storage system. The research model of the lithium ion battery mainly comprises an electrochemical model, an equivalent circuit model and a black box model, and is generally based on internal physical and chemical change rules and sample data, and the degradation performance is related to the stress such as temperature, current and the like based on a performance degradation theory, so that the degradation model is constructed through simplified processing, but the accuracy of the model is generally low and needs to be further explored.
For a long time, research on lithium ion batteries is mainly focused on safety, and certain researches are made on failure performance and mechanism, such as a state of health (SOH) estimation method for evaluating the state of health factors such as battery capacity or internal resistance, and reflecting the current performance condition of the battery; taking the current state of charge (SOC) of the battery into consideration by adopting an SOC estimation method; at present, numerous estimation and modeling researches on the state of charge and the health state of the lithium ion battery are carried out at home and abroad, and a relatively perfect method system is formed, but the reliability evaluation research on the lithium ion battery is still in an exploration stage, and the reliability evaluation method also needs to be further optimized. At present, the actual situation of multi-stress coupling effect in a complex application environment is not fully considered in reliability evaluation; the research and improvement of the degradation model need to be further strengthened; the modeling process also needs to be simplified; the evaluation accuracy is further improved, and it is necessary to explore a reliability analysis method suitable for engineering application.
Disclosure of Invention
In the prior art, the estimation of the battery state, such as a state of charge (SOC) estimation method, only considers the current state of charge of the battery, has a single angle, and cannot quantify the current capacity of the battery for ensuring the completion of charge and discharge tasks; the state of health (SOH) estimation method is used for evaluating the state of health factors such as battery capacity or internal resistance, and measuring the degradation degree of the battery under the full life cycle angle, but cannot measure the capacity of stable battery replacement; the power State (SOP) estimation method is used for measuring the maximum power which can be absorbed or released by the battery in a specified time interval, the angle is single, and multiple states outside the power cannot be comprehensively considered.
In order to solve the technical problems, the application provides the following technical scheme:
in a first aspect, the present application provides a method for evaluating the reliability state of a lithium battery, the method for evaluating the reliability state of a lithium battery comprising:
obtaining a lithium battery pack reliability factor according to the current lithium battery pack operation data;
obtaining the reliability parameter of the lithium battery pack according to the reliability factor and the operation parameter threshold of the lithium battery pack;
and determining the reliability state of the lithium battery pack according to the lithium battery pack operation data, the lithium battery pack operation parameter threshold value and the lithium battery pack reliability parameter.
Preferably, the lithium battery reliability state evaluation method includes:
and determining an operation parameter threshold value under the normal operation state of the lithium battery according to the use working condition of the lithium battery.
Preferably, the lithium battery pack operation data includes: the lithium battery operation time, the lithium battery voltage and the lithium battery temperature, the reliability factor of the lithium battery pack is obtained according to the current lithium battery pack operation data, and the method comprises the following steps:
obtaining a high-voltage reliability factor, a low-voltage reliability factor and a differential pressure reliability factor of the lithium battery pack according to voltage data in the operation process of the lithium battery pack;
And obtaining a high-temperature reliability factor, a low-temperature reliability factor, a temperature difference reliability factor and a temperature rise reliability factor of the lithium battery pack according to temperature data in the operation process of the lithium battery pack.
Preferably, the obtaining the reliability parameter of the lithium battery pack according to the reliability factor and the operation parameter threshold of the lithium battery pack includes:
obtaining a high-voltage reliability parameter, a low-voltage reliability parameter and a pressure difference reliability parameter according to the high-voltage reliability factor, the low-voltage reliability factor, the pressure difference reliability factor and the lithium battery pack operation parameter threshold;
obtaining a high-temperature reliability parameter, a low-temperature reliability parameter, a temperature difference reliability parameter and a temperature rise reliability parameter according to the high-temperature reliability factor, the low-temperature reliability factor, the temperature difference reliability factor, the temperature rise reliability factor and the lithium battery pack operation parameter threshold;
and obtaining the reliability parameter of the lithium battery pack according to the high-voltage reliability parameter, the low-voltage reliability parameter, the pressure difference reliability parameter, the high-temperature reliability parameter, the low-temperature reliability parameter, the temperature difference reliability parameter and the temperature rise reliability parameter.
Preferably, the determining the reliability state of the lithium battery pack according to the lithium battery pack operation data, the lithium battery pack operation parameter threshold value and the lithium battery pack reliability parameter includes:
if the operation data of the lithium battery pack does not exceed the operation parameter threshold of the lithium battery pack and the reliability parameter of the lithium battery pack is larger than a set threshold, the lithium battery pack is in a charge-discharge or standby state;
and if the operation data of the lithium battery pack exceeds the operation parameter threshold of the lithium battery pack and the reliability parameter of the lithium battery pack reaches the set threshold, the lithium battery pack cannot be in a normal state.
Preferably, the obtaining the high-voltage reliability factor, the low-voltage reliability factor and the differential pressure reliability factor of the lithium battery pack according to the voltage data in the operation process of the lithium battery pack includes:
obtaining a high-voltage reliability factor and a low-voltage reliability factor of the lithium battery pack within the operation time of the lithium battery;
and obtaining the voltage difference reliability factor according to the maximum voltage value and the minimum voltage value of the lithium battery.
Preferably, the obtaining the high-temperature reliability factor, the low-temperature reliability factor, the temperature difference reliability factor and the temperature rise reliability factor of the lithium battery pack according to the temperature data in the operation process of the lithium battery pack includes:
Obtaining a high-temperature reliability factor and a low-temperature reliability factor of the lithium battery pack within the operation time of the lithium battery;
obtaining the temperature difference reliability factor according to the maximum temperature value and the minimum temperature value of the lithium battery;
and obtaining the temperature rise reliability factor according to the lithium battery temperature corresponding to each operation time point of the lithium battery.
In a second aspect, the present application provides a lithium battery reliability state evaluation system, the lithium battery reliability state evaluation system comprising:
reliability factor calculation unit: obtaining a reliability factor of the lithium battery pack according to the operation data of the lithium battery pack;
reliability parameter calculation unit: obtaining the reliability parameter of the lithium battery pack according to the reliability factor and the operation parameter threshold of the lithium battery pack;
a battery state determination unit: and determining the reliability state of the lithium battery pack according to the lithium battery pack operation data, the lithium battery pack operation parameter threshold value and the lithium battery pack reliability parameter.
The invention also provides a computer device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the computer program to realize the method.
Meanwhile, the invention also provides a computer readable storage medium which stores a computer program for executing the method.
According to the technical scheme, the reliability state evaluation method and system for the lithium battery, provided by the application, calculate the reliability parameters of each parameter of the current battery in the threshold value interval respectively according to the upper and lower threshold value intervals of a plurality of parameters of safe operation of the battery, and the larger the reliability parameters are, the lower the reliability is; and obtaining final reliability parameters of the battery according to the reliability of each parameter, and judging the state of the battery by taking the final reliability parameters as the final reliability parameters of the battery. The calculated result has clear and quantifiable physical meaning, can directly evaluate the state of the current battery pack and maintain the current normal state, and has guiding meaning for the optimized operation of the system.
The foregoing and other objects, features and advantages of the invention will be apparent from the following more particular description of preferred embodiments, as illustrated in the accompanying drawings.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a method for evaluating the reliability status of a lithium battery in an embodiment of the application.
Fig. 2 is a schematic structural diagram of a reliability status evaluation system for a lithium battery in an embodiment of the present application.
Fig. 3 is a schematic structural diagram of an electronic device in an embodiment of the application.
Detailed Description
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
In the prior art, the estimation of the battery state, such as a state of charge (SOC) estimation method, only considers the current state of charge of the battery, has a single angle, and cannot quantify the current capacity of the battery for ensuring the completion of charge and discharge tasks; the state of health (SOH) estimation method is used for evaluating the state of health factors such as battery capacity or internal resistance, and measuring the degradation degree of the battery under the full life cycle angle, but cannot measure the capacity of stable battery replacement; the power State (SOP) estimation method is used for measuring the maximum power which can be absorbed or released by the battery in a specified time interval, the angle is single, and multiple states outside the power cannot be comprehensively considered.
Based on the foregoing, the present application further provides a lithium battery reliability state evaluation device for implementing the lithium battery reliability state evaluation method provided in one or more embodiments of the present application, where the lithium battery reliability state evaluation device may be communicatively connected to a user client device, and the user client terminal device may be provided with a plurality of lithium battery reliability state evaluation devices, and specifically may access the client terminal device through an application server.
The lithium battery reliability state evaluation device can receive a lithium battery reliability state evaluation instruction from the client terminal device, acquire a lithium battery pack operation parameter threshold range and current lithium battery pack operation data from the lithium battery reliability state evaluation instruction, acquire a reliability factor corresponding to each operation data of the lithium battery pack according to the current lithium battery pack operation data, acquire the deviation degree of each operation data in a corresponding threshold range according to the reliability factor and the lithium battery pack operation parameter threshold, namely, the reliability parameter corresponding to each operation parameter, and then acquire the reliability parameter corresponding to the lithium battery pack according to the reliability parameter of each operation data, wherein the lithium battery reliability state evaluation device can acquire the operation state of the lithium battery pack according to the reliability parameter corresponding to the lithium battery pack and send the operation state of the lithium battery to the client terminal device for display so that a user can select whether to execute a fault pre-set action according to the state of the lithium battery.
It is understood that the client devices may include smartphones, tablet electronic devices, portable computers, desktop computers, personal Digital Assistants (PDAs), and the like.
In another practical application, the part for evaluating the reliability state of the lithium battery may be performed in the classification processing center as described above, or all operations may be performed in the client device. Specifically, the selection may be made according to the processing capability of the client device, and restrictions of the use scenario of the user. The present application is not limited in this regard. If all operations are completed in the client device, the client device may further include a processor for performing specific processing of the lithium battery reliability status evaluation.
The client device may have a communication module (i.e. a communication unit) and may be connected to a remote server in a communication manner, so as to implement data transmission with the server. For example, the communication unit may transmit the lithium battery reliability state estimation instruction to a server of the classification processing center, so that the server performs the lithium battery reliability state estimation processing according to the lithium battery reliability state estimation instruction. The communication unit can also receive the current lithium battery running state returned by the server. The server may include a server on the side of the task scheduling center, and in other implementations may include a server of an intermediate platform, such as a server of a third party server platform having a communication link with the task scheduling center server. The server may include a single computer device, a server cluster formed by a plurality of servers, or a server structure of a distributed device.
Any suitable network protocol may be used for communication between the server and the client device, including those not yet developed at the filing date of this application. The network protocols may include, for example, TCP/IP protocol, UDP/IP protocol, HTTP protocol, HTTPS protocol, etc. Of course, the network protocol may also include, for example, RPC protocol (Remote Procedure Call Protocol ), REST protocol (Representational State Transfer, representational state transfer protocol), etc. used above the above-described protocol.
According to the method, the system, the electronic equipment and the computer readable storage medium for evaluating the reliability state of the lithium battery, the reliability parameters of each parameter of the current battery in a threshold interval are calculated respectively according to a plurality of upper and lower threshold intervals of the parameters of the safe operation of the battery, and the reliability is lower as the reliability parameters are larger; and obtaining final reliability parameters of the battery according to the reliability of each parameter, and judging the state of the battery by taking the final reliability parameters as the final reliability parameters of the battery. The calculated result has clear and quantifiable physical meaning, can directly evaluate the state of the current battery pack and maintain the current normal state, and has guiding meaning for the optimized operation of the system.
The following embodiments and application examples are described in detail.
In order to solve the problem that in the prior art, the battery state estimation, such as the state of charge (SOC) estimation method, only considers the current state of charge of the battery, and the angle is single, and the current capability of ensuring the completion of the charge and discharge tasks of the battery cannot be quantified, the present application provides an embodiment of a lithium battery reliability state estimation method, referring to fig. 1, where the lithium battery reliability state estimation method specifically includes the following contents:
step 100: obtaining a lithium battery pack reliability factor according to the current lithium battery pack operation data;
it will be appreciated that data cleaning of the acquired lithium battery pack operation data is required prior to the reliability factor calculation. The data cleaning rule is to complement abnormal values, such as missing values or significantly unreasonable values. The missing value is that the value under the timestamp is null due to a communication failure or a storage failure. The significantly unreasonable data value is the data abnormality caused by the communication fault, including data zero setting or over measurement range, etc. The filling-in method comprises the steps of replacing the abnormal constant value by the previous normal value or the next normal value, or carrying out linear or nonlinear interpolation on the abnormal constant value, and the like.
The lithium battery pack is a battery system formed by integrating one or more battery cells through a certain serial-parallel connection design, and the operation data of the lithium battery pack comprises: and obtaining a reliability factor corresponding to each operation data according to the processed lithium battery pack operation data, wherein the reliability factor is an index union capable of triggering battery pack faults, and the lithium battery pack reliability factor comprises a lithium battery pack high-voltage reliability factor, a low-voltage reliability factor, a differential pressure reliability factor, a high-temperature reliability factor, a low-temperature reliability factor, a differential temperature reliability factor and a temperature rise reliability factor.
Step 200: obtaining the reliability parameter of the lithium battery pack according to the reliability factor and the operation parameter threshold of the lithium battery pack;
it can be understood that, according to the battery usage specification and specific working conditions, a plurality of parameter upper and lower threshold intervals of safe operation of the battery are determined in advance, for example, the battery is in a charged or discharged or standing state, and each parameter threshold interval is as follows:
threshold interval of cell voltage [ v f ,v c ]
Differential pressure threshold interval [ dv f ,dv c ]
Monomer temperature threshold interval [ t ] f ,t c ]
Temperature difference threshold interval [ dt ] f ,dt c ]
Temperature rise threshold interval [ rt ] f ,rt c ]
Wherein v and t represent voltage and temperature, respectively, the prefixes d and r represent difference and rise values of a certain parameter, and the subscripts c and f represent upper and lower thresholds of a certain parameter.
According to the reliability factor corresponding to each operation data and the operation parameter threshold of the lithium battery pack, the deviation degree of each operation data of the battery in the corresponding threshold interval can be obtained, and according to the deviation degree of each operation data, the reliability parameter of the lithium battery pack can be obtained.
Step 300: determining the reliability state of the lithium battery pack according to the lithium battery pack operation data, the lithium battery pack operation parameter threshold value and the lithium battery pack reliability parameter;
it is understood that lithium battery reliability is the ability of an energy storage battery to perform a specified function without failure under system constraints, which refers to the union of constraints to which an energy storage system should be subjected to perform the specified function. If the operation data of the lithium battery pack does not exceed the operation parameter threshold value of the lithium battery pack and the reliability parameter of the lithium battery pack is greater than 0, the lithium battery pack is in a charge-discharge or standby state; and if the operation data of the lithium battery pack exceeds the operation parameter threshold of the lithium battery pack and the reliability parameter of the lithium battery pack is 0, the lithium battery pack cannot be in a normal state. That is, when each operation data is within the threshold range, the reliability parameter is greater than 0, and the battery (pack) can maintain the current charge-discharge or standby state; when certain operation data exceeds the threshold value range, the reliability parameter is equal to 0, the battery (group) can not maintain the current charge-discharge or standby state, and the fault planning action is executed.
As can be seen from the above description, according to the method for evaluating the reliability state of a lithium battery provided by the embodiments of the present application, according to a plurality of upper and lower threshold intervals of parameters of safe operation of the battery, reliability parameters of each parameter of the current battery in the threshold interval are calculated respectively, and the greater the reliability parameters, the lower the reliability is; and obtaining final reliability parameters of the battery according to the reliability of each parameter, and judging the state of the battery by taking the final reliability parameters as the final reliability parameters of the battery. The calculated result has clear and quantifiable physical meaning, can directly evaluate the state of the current battery pack and maintain the current normal state, and has guiding meaning for the optimized operation of the system.
In an embodiment of the method for evaluating the reliability state of a lithium battery provided in the present application, the obtaining the reliability factor of the lithium battery according to the current operation data of the lithium battery includes:
obtaining a high-voltage reliability factor, a low-voltage reliability factor and a differential pressure reliability factor of the lithium battery pack according to voltage data in the operation process of the lithium battery pack;
and obtaining a high-temperature reliability factor, a low-temperature reliability factor, a temperature difference reliability factor and a temperature rise reliability factor of the lithium battery pack according to temperature data in the operation process of the lithium battery pack.
In the embodiment, obtaining the maximum voltage value and the minimum voltage value of the lithium battery in the running time of the lithium battery to obtain the high-voltage reliability factor and the low-voltage reliability factor of the lithium battery pack; and obtaining the voltage difference reliability factor according to the maximum voltage value and the minimum voltage value of the lithium battery. High voltage reliability factor: v max ＝max(v s ) The method comprises the steps of carrying out a first treatment on the surface of the Low voltage reliability factor: v min ＝min(v s ) The method comprises the steps of carrying out a first treatment on the surface of the Differential pressure reliability factor: dv=v max -v min 。
Obtaining a high-temperature reliability factor and a low-temperature reliability factor of the lithium battery pack within the operation time of the lithium battery; obtaining the temperature difference reliability factor according to the maximum temperature value and the minimum temperature value of the lithium battery; and obtaining the temperature rise reliability factor according to the lithium battery temperature corresponding to each operation time point of the lithium battery. High temperature reliability factor: t is t max ＝max(t s ) The method comprises the steps of carrying out a first treatment on the surface of the Low temperature reliability factor: t is t min ＝min(t s ) The method comprises the steps of carrying out a first treatment on the surface of the Temperature difference reliability factor: dt=t max -t min The method comprises the steps of carrying out a first treatment on the surface of the Battery temperature rise reliability factor: rt (rt) i ＝t i_time2 -t i_time1 I=1, 2,3 … n; battery pack temperature rise reliability factor: rt=max (rt) i )，i＝1，2，3…n。
In an embodiment of the method for evaluating the reliability state of a lithium battery provided in the present application, the obtaining the reliability parameter of the lithium battery according to the reliability factor and the operation parameter threshold of the lithium battery includes:
Obtaining a high-voltage reliability parameter, a low-voltage reliability parameter and a pressure difference reliability parameter according to the high-voltage reliability factor, the low-voltage reliability factor, the pressure difference reliability factor and the lithium battery pack operation parameter threshold;
obtaining a high-temperature reliability parameter, a low-temperature reliability parameter, a temperature difference reliability parameter and a temperature rise reliability parameter according to the high-temperature reliability factor, the low-temperature reliability factor, the temperature difference reliability factor, the temperature rise reliability factor and the lithium battery pack operation parameter threshold;
and obtaining the reliability parameter of the lithium battery pack according to the high-voltage reliability parameter, the low-voltage reliability parameter, the pressure difference reliability parameter, the high-temperature reliability parameter, the low-temperature reliability parameter, the temperature difference reliability parameter and the temperature rise reliability parameter.
In the present embodiment, the high-voltage reliability factor v is used max Low voltage reliability factor v min The differential pressure reliability factor dv and the lithium battery pack operation parameter threshold value, a high-voltage reliability parameter, a low-voltage reliability parameter and a differential pressure reliability parameter are obtained, namely,
voltage (high voltage) reliability:
voltage (low voltage) reliability:
Differential pressure reliability:
according to the high temperature reliability factor t max Low temperature reliability factor t min Temperature difference reliability factor dt, temperature rise reliability factor rt, rt i And a lithium battery pack operating parameter threshold to obtain a high temperature reliability parameter, a low temperature reliability parameter, a temperature difference reliability parameter, and a temperature rise reliability parameter, that is,
temperature (high temperature) reliability:
temperature (low temperature) reliability:
temperature difference reliability:
reliability of temperature rise:
selecting the minimum value of the high-voltage reliability parameter, the low-voltage reliability parameter, the differential pressure reliability parameter, the high-temperature reliability parameter, the low-temperature reliability parameter, the temperature difference reliability parameter and the temperature rise reliability parameter, namely the reliability parameter of the lithium battery pack, namely the reliability of the battery pack is calculated as follows:
R s ＝min{R hv1 ,R hv2 ,R dv ,R ht1 ,R ht2 ,R dt ,R rt }
as can be seen from the above description, the method for evaluating the reliability state of a lithium battery provided by the present application divides the safety threshold interval of each detection parameter of the battery according to the task requirement under the battery usage scenario, and solves the reliability parameter of each parameter accordingly, and further solves the reliability parameter of the battery pack; when each parameter is within the threshold range, the reliability parameter is larger than 0, and the battery (group) can maintain the current charge-discharge or standby state; when a certain parameter exceeds the threshold value range, the reliability parameter is equal to 0, the battery (group) cannot maintain the current charge-discharge or standby state, and the fault planning action is executed; the calculated result has definite and quantifiable physical meaning, can directly evaluate the state of the current battery pack and maintain the current normal state, and has guiding meaning for the optimized operation of the system.
In a second aspect, in order to solve the problem that in the prior art, the battery state estimation, such as the state of charge (SOC) estimation method, only considers the current state of charge of the battery, and the angle is single, and the battery current capacity of ensuring the completion of the charge and discharge tasks cannot be quantified, the present application provides an embodiment of a lithium battery reliability state estimation system, referring to fig. 2, where the lithium battery reliability state estimation system specifically includes:
reliability factor calculation unit 01: obtaining a reliability factor of the lithium battery pack according to the operation data of the lithium battery pack;
reliability parameter calculation unit 02: obtaining the reliability parameter of the lithium battery pack according to the reliability factor and the operation parameter threshold of the lithium battery pack;
battery state determination unit 03: and determining the reliability state of the lithium battery pack according to the lithium battery pack operation data, the lithium battery pack operation parameter threshold value and the lithium battery pack reliability parameter.
In this embodiment, the reliability factor calculating unit 01 obtains the reliability factor corresponding to each operation data according to the lithium battery pack operation data, where the lithium battery pack reliability factors include a lithium battery pack high-voltage reliability factor, a lithium battery pack low-voltage reliability factor, a voltage difference reliability factor, a high-temperature reliability factor, a low-temperature reliability factor, a temperature difference reliability factor, and a temperature rise reliability factor. The reliability factor calculation unit 01 transmits the lithium battery reliability factor to the reliability parameter calculation unit 02. In a specific embodiment, the reliability factor calculation unit 01 can also perform data cleaning on lithium battery pack operation data. The data cleaning rule is to complement abnormal values, such as missing values or significantly unreasonable values. The missing value is that the value under the timestamp is null due to a communication failure or a storage failure. The significantly unreasonable data value is the data abnormality caused by the communication fault, including data zero setting or over measurement range, etc. The filling-in method comprises the steps of replacing the abnormal constant value by the previous normal value or the next normal value, or carrying out linear or nonlinear interpolation on the abnormal constant value, and the like.
The reliability parameter calculating unit 02 may obtain the deviation degree of each operation data of the battery in the corresponding threshold interval according to the reliability factor corresponding to each operation data and the lithium battery pack operation parameter threshold, and may obtain the reliability parameter of the lithium battery pack according to the deviation degree of each operation data, and transmit the reliability parameter of the lithium battery pack to the battery state determining unit 03. The operation parameter threshold of the lithium battery pack is determined in advance by a reliability parameter calculating unit 02 or a reliability factor calculating unit 01 according to a battery use specification and a specific working condition, and each parameter threshold interval is as follows:
threshold interval of cell voltage [ v f ,v c ]The method comprises the steps of carrying out a first treatment on the surface of the Differential pressure threshold interval [ dv f ,dv c ]The method comprises the steps of carrying out a first treatment on the surface of the Monomer temperature threshold interval [ t ] f ,t c ]The method comprises the steps of carrying out a first treatment on the surface of the Temperature difference threshold interval [ dt ] f ,dt c ]The method comprises the steps of carrying out a first treatment on the surface of the Temperature rise threshold interval [ rt ] f ,rt c ]Wherein v and t represent voltage and temperature, respectively, the prefixes d and r represent difference and rise values of a certain parameter, and the subscripts c and f represent upper and lower thresholds of a certain parameter.
The battery state determining unit 03 determines the operation state of the lithium battery pack according to the lithium battery pack operation data, the lithium battery pack operation parameter threshold value, and the lithium battery pack reliability parameter. When each operation data is within the threshold range, the reliability parameter is larger than 0, and the battery (group) can maintain the current charge-discharge or standby state; when certain operation data exceeds the threshold value range, the reliability parameter is equal to 0, the battery (group) can not maintain the current charge-discharge or standby state, and the fault planning action is executed.
As can be seen from the above description, according to the reliability state evaluation system for lithium battery provided by the embodiments of the present application, according to the upper and lower threshold intervals of multiple parameters of safe operation of the battery, the reliability parameters of each parameter of the current battery in the threshold interval are calculated respectively, and the greater the reliability parameter, the lower the reliability is; and obtaining final reliability parameters of the battery according to the reliability of each parameter, and judging the state of the battery by taking the final reliability parameters as the final reliability parameters of the battery. The calculated result has clear and quantifiable physical meaning, can directly evaluate the state of the current battery pack and maintain the current normal state, and has guiding meaning for the optimized operation of the system.
In order to solve the problem that in the prior art, the battery state estimation, such as the state of charge (SOC) estimation method, only considers the current state of charge of the battery, and the angle is single, and the current capability of ensuring the completion of charge and discharge tasks of the battery cannot be quantified, the application provides an embodiment of an electronic device with all or part of the contents in the lithium battery reliability state estimation method, where the electronic device specifically includes the following contents:
fig. 3 is a schematic block diagram of a system configuration of an electronic device 9600 of an embodiment of the present application. As shown in fig. 3, the electronic device 9600 may include a central processor 9100 and a memory 9140; the memory 9140 is coupled to the central processor 9100. Notably, this fig. 3 is exemplary; other types of structures may also be used in addition to or in place of the structures to implement telecommunications functions or other functions.
In one embodiment, the lithium battery reliability status assessment function may be integrated into the central processor.
Wherein the central processor may be configured to control:
step 100: obtaining a lithium battery pack reliability factor according to the current lithium battery pack operation data;
it will be appreciated that data cleaning of the acquired lithium battery pack operation data is required prior to the reliability factor calculation. The data cleaning rule is to complement abnormal values, such as missing values or significantly unreasonable values. The missing value is that the value under the timestamp is null due to a communication failure or a storage failure. The significantly unreasonable data value is the data abnormality caused by the communication fault, including data zero setting or over measurement range, etc. The filling-in method comprises the steps of replacing the abnormal constant value by the previous normal value or the next normal value, or carrying out linear or nonlinear interpolation on the abnormal constant value, and the like.
The lithium battery pack operation data includes: and obtaining reliability factors corresponding to each operation data according to the processed lithium battery pack operation data, wherein the lithium battery pack reliability factors comprise a high-voltage reliability factor, a low-voltage reliability factor, a differential pressure reliability factor, a high-temperature reliability factor, a low-temperature reliability factor, a temperature difference reliability factor and a temperature rise reliability factor of the lithium battery pack.
Step 200: obtaining the reliability parameter of the lithium battery pack according to the reliability factor and the operation parameter threshold of the lithium battery pack;
it can be understood that, according to the battery usage specification and specific working conditions, a plurality of parameter upper and lower threshold intervals of safe operation of the battery are determined in advance, for example, the battery is in a charged or discharged or standing state, and each parameter threshold interval is as follows:
threshold interval of cell voltage [ v f ,v c ]
Differential pressure threshold interval [ dv f ,dv c ]
Monomer temperature threshold interval [ t ] f ,t c ]
Temperature difference threshold interval [ dt ] f ,dt c ]
Temperature rise threshold interval [ rt ] f ,rt c ]
Wherein v and t represent voltage and temperature, respectively, the prefixes d and r represent difference and rise values of a certain parameter, and the subscripts c and f represent upper and lower thresholds of a certain parameter.
According to the reliability factor corresponding to each operation data and the operation parameter threshold of the lithium battery pack, the deviation degree of each operation data of the battery in the corresponding threshold interval can be obtained, and according to the deviation degree of each operation data, the reliability parameter of the lithium battery pack can be obtained.
Step 300: determining the reliability state of the lithium battery pack according to the lithium battery pack operation data, the lithium battery pack operation parameter threshold value and the lithium battery pack reliability parameter;
it can be understood that if the lithium battery pack operation data does not exceed the lithium battery pack operation parameter threshold, and the lithium battery pack reliability parameter is greater than 0, the lithium battery pack is in a charge-discharge or standby state; and if the operation data of the lithium battery pack exceeds the operation parameter threshold of the lithium battery pack and the reliability parameter of the lithium battery pack is 0, the lithium battery pack cannot be in a normal state. That is, when each operation data is within the threshold range, the reliability parameter is greater than 0, and the battery (pack) can maintain the current charge-discharge or standby state; when certain operation data exceeds the threshold value range, the reliability parameter is equal to 0, the battery (group) can not maintain the current charge-discharge or standby state, and the fault planning action is executed.
As can be seen from the above description, according to the electronic device provided by the embodiment of the present application, according to the upper and lower threshold intervals of multiple parameters of the safe operation of the battery, the reliability parameters of each parameter of the current battery in the threshold interval are calculated respectively, and the greater the reliability parameter, the lower the reliability; and obtaining final reliability parameters of the battery according to the reliability of each parameter, and judging the state of the battery by taking the final reliability parameters as the final reliability parameters of the battery. The calculated result has clear and quantifiable physical meaning, can directly evaluate the state of the current battery pack and maintain the current normal state, and has guiding meaning for the optimized operation of the system.
In another embodiment, the lithium battery reliability state evaluation device may be configured separately from the central processor 9100, for example, the lithium battery reliability state evaluation device may be configured as a chip connected to the central processor 9100, and the lithium battery reliability state evaluation function is implemented by control of the central processor.
As shown in fig. 3, the electronic device 9600 may further include: a communication module 9110, an input unit 9120, an audio processor 9130, a display 9160, and a power supply 9170. It is noted that the electronic device 9600 need not include all of the components shown in fig. 3; in addition, the electronic device 9600 may further include components not shown in fig. 3, and reference may be made to the related art.
As shown in fig. 3, the central processor 9100, sometimes referred to as a controller or operational control, may include a microprocessor or other processor device and/or logic device, which central processor 9100 receives inputs and controls the operation of the various components of the electronic device 9600.
The memory 9140 may be, for example, one or more of a buffer, a flash memory, a hard drive, a removable media, a volatile memory, a non-volatile memory, or other suitable device. The information about failure may be stored, and a program for executing the information may be stored. And the central processor 9100 can execute the program stored in the memory 9140 to realize information storage or processing, and the like.
The input unit 9120 provides input to the central processor 9100. The input unit 9120 is, for example, a key or a touch input device. The power supply 9170 is used to provide power to the electronic device 9600. The display 9160 is used for displaying display objects such as images and characters. The display may be, for example, but not limited to, an LCD display.
The memory 9140 may be a solid state memory such as Read Only Memory (ROM), random Access Memory (RAM), SIM card, etc. But also a memory which holds information even when powered down, can be selectively erased and provided with further data, an example of which is sometimes referred to as EPROM or the like. The memory 9140 may also be some other type of device. The memory 9140 includes a buffer memory 9141 (sometimes referred to as a buffer). The memory 9140 may include an application/function storage portion 9142, the application/function storage portion 9142 storing application programs and function programs or a flow for executing operations of the electronic device 9600 by the central processor 9100.
The memory 9140 may also include a data store 9143, the data store 9143 for storing data, such as contacts, digital data, pictures, sounds, and/or any other data used by an electronic device. The driver storage portion 9144 of the memory 9140 may include various drivers of the electronic device for communication functions and/or for performing other functions of the electronic device (e.g., messaging applications, address book applications, etc.).
The communication module 9110 is a transmitter/receiver 9110 that transmits and receives signals via an antenna 9111. A communication module (transmitter/receiver) 9110 is coupled to the central processor 9100 to provide input signals and receive output signals, as in the case of conventional mobile communication terminals.
Based on different communication technologies, a plurality of communication modules 9110, such as a cellular network module, a bluetooth module, and/or a wireless local area network module, etc., may be provided in the same electronic device. The communication module (transmitter/receiver) 9110 is also coupled to a speaker 9131 and a microphone 9132 via an audio processor 9130 to provide audio output via the speaker 9131 and to receive audio input from the microphone 9132 to implement usual telecommunications functions. The audio processor 9130 can include any suitable buffers, decoders, amplifiers and so forth. In addition, the audio processor 9130 is also coupled to the central processor 9100 so that sound can be recorded locally through the microphone 9132 and sound stored locally can be played through the speaker 9131.
The embodiments of the present application further provide a computer readable storage medium capable of implementing all the steps in the lithium battery reliability state estimation method in the above embodiments, where the computer readable storage medium stores a computer program, and when the computer program is executed by a processor, the computer program implements all the steps in the lithium battery reliability state estimation system in which the execution subject in the above embodiments is a server or a client, for example, the processor implements the following steps when executing the computer program:
step 100: obtaining a lithium battery pack reliability factor according to the current lithium battery pack operation data;
it will be appreciated that data cleaning of the acquired lithium battery pack operation data is required prior to the reliability factor calculation. The data cleaning rule is to complement abnormal values, such as missing values or significantly unreasonable values. The missing value is that the value under the timestamp is null due to a communication failure or a storage failure. The significantly unreasonable data value is the data abnormality caused by the communication fault, including data zero setting or over measurement range, etc. The filling-in method comprises the steps of replacing the abnormal constant value by the previous normal value or the next normal value, or carrying out linear or nonlinear interpolation on the abnormal constant value, and the like.
The lithium battery pack operation data includes: and obtaining reliability factors corresponding to each operation data according to the processed lithium battery pack operation data, wherein the lithium battery pack reliability factors comprise a high-voltage reliability factor, a low-voltage reliability factor, a differential pressure reliability factor, a high-temperature reliability factor, a low-temperature reliability factor, a temperature difference reliability factor and a temperature rise reliability factor of the lithium battery pack.
Step 200: obtaining the reliability parameter of the lithium battery pack according to the reliability factor and the operation parameter threshold of the lithium battery pack;
it can be understood that, according to the battery usage specification and specific working conditions, a plurality of parameter upper and lower threshold intervals of safe operation of the battery are determined in advance, for example, the battery is in a charged or discharged or standing state, and each parameter threshold interval is as follows:
threshold interval of cell voltage [ v f ,v c ]
Differential pressure threshold interval [ dv f ,dv c ]
Monomer temperature threshold interval [ t ] f ,t c ]
Temperature difference threshold interval [ dt ] f ,dt c ]
Temperature rise threshold interval [ rt ] f ,rt c ]
Wherein v and t represent voltage and temperature, respectively, the prefixes d and r represent difference and rise values of a certain parameter, and the subscripts c and f represent upper and lower thresholds of a certain parameter.
According to the reliability factor corresponding to each operation data and the operation parameter threshold of the lithium battery pack, the deviation degree of each operation data of the battery in the corresponding threshold interval can be obtained, and according to the deviation degree of each operation data, the reliability parameter of the lithium battery pack can be obtained.
Step 300: determining the reliability state of the lithium battery pack according to the lithium battery pack operation data, the lithium battery pack operation parameter threshold value and the lithium battery pack reliability parameter;
it can be understood that if the lithium battery pack operation data does not exceed the lithium battery pack operation parameter threshold, and the lithium battery pack reliability parameter is greater than 0, the lithium battery pack is in a charge-discharge or standby state; and if the operation data of the lithium battery pack exceeds the operation parameter threshold of the lithium battery pack and the reliability parameter of the lithium battery pack is 0, the lithium battery pack cannot be in a normal state. That is, when each operation data is within the threshold range, the reliability parameter is greater than 0, and the battery (pack) can maintain the current charge-discharge or standby state; when certain operation data exceeds the threshold value range, the reliability parameter is equal to 0, the battery (group) can not maintain the current charge-discharge or standby state, and the fault planning action is executed.
As can be seen from the above description, the computer readable storage medium provided in the embodiments of the present application calculates the reliability parameter of each parameter of the current battery in the threshold interval according to the upper and lower threshold intervals of the plurality of parameters of the safe operation of the battery, where the greater the reliability parameter, the lower the reliability; and obtaining final reliability parameters of the battery according to the reliability of each parameter, and judging the state of the battery by taking the final reliability parameters as the final reliability parameters of the battery. The calculated result has clear and quantifiable physical meaning, can directly evaluate the state of the current battery pack and maintain the current normal state, and has guiding meaning for the optimized operation of the system.
It will be apparent to those skilled in the art that embodiments of the present invention may be provided as a method, apparatus, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (devices), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The principles and embodiments of the present invention have been described in detail with reference to specific examples, which are provided to facilitate understanding of the method and core ideas of the present invention; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present invention, the present description should not be construed as limiting the present invention in view of the above.
Claims (10)
1. A method for evaluating the reliability state of a lithium battery, comprising:
obtaining a lithium battery pack reliability factor according to the current lithium battery pack operation data;
obtaining the reliability parameter of the lithium battery pack according to the reliability factor and the operation parameter threshold of the lithium battery pack;
and determining the reliability state of the lithium battery pack according to the lithium battery pack operation data, the lithium battery pack operation parameter threshold value and the lithium battery pack reliability parameter.
2. The lithium battery reliability state evaluation method according to claim 1, characterized in that the lithium battery reliability state evaluation method comprises:
and determining an operation parameter threshold value under the normal operation state of the lithium battery according to the use working condition of the lithium battery.
3. The lithium battery reliability state evaluation method according to claim 1, wherein the lithium battery pack operation data includes: the lithium battery operation time, the lithium battery voltage and the lithium battery temperature, the reliability factor of the lithium battery pack is obtained according to the current lithium battery pack operation data, and the method comprises the following steps:
obtaining a high-voltage reliability factor, a low-voltage reliability factor and a differential pressure reliability factor of the lithium battery pack according to voltage data in the operation process of the lithium battery pack;
And obtaining a high-temperature reliability factor, a low-temperature reliability factor, a temperature difference reliability factor and a temperature rise reliability factor of the lithium battery pack according to temperature data in the operation process of the lithium battery pack.
4. The method for evaluating the reliability state of a lithium battery according to claim 3, wherein the obtaining the reliability parameter of the lithium battery according to the reliability factor and the operation parameter threshold of the lithium battery comprises:
obtaining a high-voltage reliability parameter, a low-voltage reliability parameter and a pressure difference reliability parameter according to the high-voltage reliability factor, the low-voltage reliability factor, the pressure difference reliability factor and the lithium battery pack operation parameter threshold;
obtaining a high-temperature reliability parameter, a low-temperature reliability parameter, a temperature difference reliability parameter and a temperature rise reliability parameter according to the high-temperature reliability factor, the low-temperature reliability factor, the temperature difference reliability factor, the temperature rise reliability factor and the lithium battery pack operation parameter threshold;
and obtaining the reliability parameter of the lithium battery pack according to the high-voltage reliability parameter, the low-voltage reliability parameter, the pressure difference reliability parameter, the high-temperature reliability parameter, the low-temperature reliability parameter, the temperature difference reliability parameter and the temperature rise reliability parameter.
5. The method of claim 1, wherein determining the reliability state of the lithium battery pack based on the lithium battery pack operation data, the lithium battery pack operation parameter threshold, and the lithium battery pack reliability parameter comprises:
if the operation data of the lithium battery pack does not exceed the operation parameter threshold of the lithium battery pack and the reliability parameter of the lithium battery pack is larger than a set threshold, the lithium battery pack is in a charge-discharge or standby state;
and if the operation data of the lithium battery pack exceeds the operation parameter threshold of the lithium battery pack and the reliability parameter of the lithium battery pack reaches the set threshold, the lithium battery pack cannot be in a normal state.
6. The method for evaluating the reliability state of a lithium battery according to claim 3, wherein the obtaining the high-voltage reliability factor, the low-voltage reliability factor and the differential pressure reliability factor of the lithium battery according to the voltage data in the operation process of the lithium battery comprises:
obtaining a high-voltage reliability factor and a low-voltage reliability factor of the lithium battery pack within the operation time of the lithium battery;
And obtaining the voltage difference reliability factor according to the maximum voltage value and the minimum voltage value of the lithium battery.
7. The method for evaluating the reliability state of a lithium battery according to claim 3, wherein the obtaining the high-temperature reliability factor, the low-temperature reliability factor, the temperature difference reliability factor and the temperature rise reliability factor of the lithium battery according to the temperature data in the operation process of the lithium battery comprises:
obtaining a high-temperature reliability factor and a low-temperature reliability factor of the lithium battery pack within the operation time of the lithium battery;
obtaining the temperature difference reliability factor according to the maximum temperature value and the minimum temperature value of the lithium battery;
and obtaining the temperature rise reliability factor according to the lithium battery temperature corresponding to each operation time point of the lithium battery.
8. A lithium battery reliability state evaluation system, comprising:
reliability factor calculation unit: obtaining a reliability factor of the lithium battery pack according to the operation data of the lithium battery pack;
reliability parameter calculation unit: obtaining the reliability parameter of the lithium battery pack according to the reliability factor and the operation parameter threshold of the lithium battery pack;
A battery state determination unit: and determining the reliability state of the lithium battery pack according to the lithium battery pack operation data, the lithium battery pack operation parameter threshold value and the lithium battery pack reliability parameter.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the lithium battery reliability state assessment method of any one of claims 1 to 7 when the program is executed by the processor.
10. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when executed by a processor, implements the lithium battery reliability state evaluation method of any one of claims 1 to 7.
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