A method and system for evaluating the reliability status of a lithium battery

Abstract

The present invention discloses a lithium battery reliability status assessment method and system. Based on the upper and lower threshold intervals of multiple parameters for safe battery operation, the reliability parameters of each current battery parameter within the threshold interval are calculated. The larger the reliability parameter, the lower the reliability. Based on the reliability of each parameter, the final reliability parameter of the battery is obtained as the final reliability parameter of the battery, and the battery reliability status is then determined. The calculation results of this application have clear and quantifiable physical meaning, can directly evaluate the current state of the battery pack and its ability to maintain the current normal state, and have guiding significance for optimizing system operation.

Description

Technical Field

[0001] The present application relates to the technical field of battery status assessment, and in particular to a method and system for assessing the reliability status of a lithium battery. Background Art

[0002] Lithium-ion batteries are highly favored in the energy storage field due to their advantages such as high specific capacity, long cycle life, good rate performance and green environmental protection. They are widely used in consumer electronics, electric vehicles and communication base stations. However, their safety has always been one of the main issues restricting their development. When lithium batteries are used improperly or abused, they will fail with certain safety risks, such as thermal runaway, flatulence, leakage, lithium deposition, short circuit and expansion deformation. Therefore, it is necessary to accurately evaluate the reliability parameters of lithium batteries (groups) to ensure the safe and stable operation of battery energy storage systems. The research models of lithium-ion batteries mainly include electrochemical models, equivalent circuit models and black box models. They are usually based on the internal physical and chemical changes and sample data. Based on the performance degradation theory, the degradation performance is linked to stresses such as temperature and current. After simplified processing, the degradation model is constructed, but the accuracy of the model is generally not high and further exploration is still needed.

[0003] For a long time, research on lithium-ion batteries has focused on safety, with some research conducted on failure performance and mechanisms. For example, the state of health (SOH) estimation method is used to evaluate the state of health factors such as battery capacity or internal resistance, reflecting the current performance of the battery; the state of charge (SOC) estimation method is used to consider the current state of charge of the battery. Currently, there are many studies on the estimation and modeling of the state of charge and health of lithium-ion batteries at home and abroad, and a relatively complete method system has been formed. However, research on the reliability evaluation of lithium-ion batteries is still in the exploratory stage, and reliability evaluation methods need to be further optimized. At present, reliability evaluation has not fully considered the actual situation of multi-stress coupling in complex application environments; the research and improvement of degradation models need to be further strengthened; the modeling process also needs to be simplified; and the evaluation accuracy needs to be further improved. It is very necessary to explore reliability analysis methods suitable for actual engineering applications. Summary of the Invention

[0004] Existing technologies for estimating battery status, such as the state of charge (SOC) estimation method, which only considers the current state of charge of the battery, has a single perspective and cannot quantify the battery's current ability to ensure the completion of charging and discharging tasks; the state of health (SOH) estimation method is used to evaluate the status of health factors such as battery capacity or internal resistance, and measures the degree of battery degradation over the entire life cycle, but cannot measure the battery's ability to stably replace batteries; the state of power (SOP) estimation method is used to measure the maximum power that the battery can absorb or release within a specified time interval. It has a single perspective and cannot comprehensively consider multiple states other than power.

[0005] To solve the above technical problems, this application provides the following technical solutions:

[0006] In a first aspect, the present application provides a method for evaluating the reliability status of a lithium battery, the method comprising:

[0007] According to the current lithium battery pack operation data, the reliability factor of the lithium battery pack is obtained;

[0008] Obtaining a reliability parameter of the lithium battery pack according to the reliability factor and the lithium battery pack operating parameter threshold;

[0009] The reliability status of the lithium battery pack is determined according to the lithium battery pack operation data, the lithium battery pack operation parameter threshold, and the lithium battery pack reliability parameter.

[0010] Preferably, the lithium battery reliability status assessment method includes:

[0011] According to the operating conditions of the lithium battery, the operating parameter thresholds of the lithium battery under normal operating conditions are determined.

[0012] Preferably, the lithium battery pack operating data includes: lithium battery operating time, lithium battery voltage, and lithium battery temperature. The lithium battery pack reliability factor is obtained based on the current lithium battery pack operating data, including:

[0013] According to the voltage data of the lithium battery pack during operation, the high-voltage reliability factor, low-voltage reliability factor and pressure difference reliability factor of the lithium battery pack are obtained;

[0014] According to the temperature data of the lithium battery pack during operation, the high temperature reliability factor, low temperature reliability factor, temperature difference reliability factor and temperature rise reliability factor of the lithium battery pack are obtained.

[0015] Preferably, obtaining the reliability parameter of the lithium battery pack according to the reliability factor and the lithium battery pack operating parameter threshold comprises:

[0016] 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 operating parameter threshold;

[0017] 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 operating parameter threshold;

[0018] The reliability parameter of the lithium battery pack is obtained 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.

[0019] Preferably, determining the reliability status of the lithium battery pack according to the lithium battery pack operating data, the lithium battery pack operating parameter threshold, and the lithium battery pack reliability parameter includes:

[0020] If the lithium battery pack operating data does not exceed the lithium battery pack operating parameter threshold, and the lithium battery pack reliability parameter is greater than the set threshold, the lithium battery pack is in a charging or discharging or standby state;

[0021] If the lithium battery pack operating data exceeds the lithium battery pack operating parameter threshold and the lithium battery pack reliability parameter reaches a set threshold, the lithium battery pack cannot be in a normal state.

[0022] Preferably, obtaining the high-voltage reliability factor, low-voltage reliability factor, and differential pressure reliability factor of the lithium battery pack according to the voltage data during the operation of the lithium battery pack includes:

[0023] Obtain the maximum and minimum voltage values of the lithium battery during its operation time, and obtain the high-voltage reliability factor and low-voltage reliability factor of the lithium battery pack;

[0024] The voltage difference reliability factor is obtained according to the maximum voltage and the minimum voltage of the lithium battery.

[0025] Preferably, obtaining the high temperature reliability factor, low temperature reliability factor, temperature difference reliability factor and temperature rise reliability factor of the lithium battery pack based on the temperature data during the operation of the lithium battery pack includes:

[0026] Obtain the maximum and minimum temperatures of the lithium battery during its operation time, and obtain the high-temperature reliability factor and low-temperature reliability factor of the lithium battery pack;

[0027] Obtaining the temperature difference reliability factor according to the maximum temperature and the minimum temperature of the lithium battery;

[0028] The temperature rise reliability factor is obtained according to the lithium battery temperature corresponding to each operating time point of the lithium battery.

[0029] In a second aspect, the present application provides a lithium battery reliability status assessment system, the lithium battery reliability status assessment system comprising:

[0030] Reliability factor calculation unit: obtains the reliability factor of the lithium battery pack according to the lithium battery pack operation data;

[0031] A reliability parameter calculation unit: obtaining a reliability parameter of the lithium battery pack according to the reliability factor and the lithium battery pack operating parameter threshold;

[0032] A battery status determining unit is configured to determine the reliability status of the lithium battery pack according to the lithium battery pack operating data, the lithium battery pack operating parameter threshold, and the lithium battery pack reliability parameter.

[0033] At the same time, the present invention also provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the above method is implemented when the processor executes the computer program.

[0034] At the same time, the present invention also provides a computer-readable storage medium, which stores a computer program for executing the above method.

[0035] As can be seen from the above technical solution, the present application provides a lithium battery reliability status assessment method and system. Based on the upper and lower threshold intervals of multiple parameters for safe battery operation, the reliability parameters of each current battery parameter within the threshold interval are calculated. The larger the reliability parameter, the lower the reliability. Based on the reliability of each parameter, the final reliability parameter of the battery is obtained as the final reliability parameter of the battery, and then the battery status is judged. The calculation results of the present application have clear and quantifiable physical meanings, which can directly evaluate the current state of the battery pack and its ability to maintain the current normal state, and have guiding significance for optimizing system operation.

[0036] In order to make the above and other objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0038] Figure 1 Schematic diagram of a lithium battery reliability status assessment method in an embodiment of the present application.

[0039] Figure 2 Schematic diagram of the structure of a lithium battery reliability status assessment system in an embodiment of the present application.

[0040] Figure 3 Schematic diagram of the structure of the electronic device in the application embodiment. DETAILED DESCRIPTION

[0041] To make the purpose, technical solutions, and advantages of the embodiments of this application more clear, the technical solutions in the embodiments of this application will be clearly and completely described below in conjunction with the drawings in the embodiments of this application. Obviously, the described embodiments are part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0042] Existing technologies for estimating battery status, such as the state of charge (SOC) estimation method, which only considers the current state of charge of the battery, has a single perspective and cannot quantify the battery's current ability to ensure the completion of charging and discharging tasks; the state of health (SOH) estimation method is used to evaluate the status of health factors such as battery capacity or internal resistance, and measures the degree of battery degradation over the entire life cycle, but cannot measure the battery's ability to stably replace batteries; the state of power (SOP) estimation method is used to measure the maximum power that the battery can absorb or release within a specified time interval. It has a single perspective and cannot comprehensively consider multiple states other than power.

[0043] Based on the above content, the present application also provides a lithium battery reliability status assessment device for implementing the lithium battery reliability status assessment method provided in one or more embodiments of the present application. The lithium battery reliability status assessment device can be communicatively connected with a user client device, and the user client terminal device can be provided with multiple, and the lithium battery reliability status assessment device can specifically access the client terminal device through an application server.

[0044] Among them, the lithium battery reliability status evaluation device can receive a lithium battery reliability status evaluation instruction from a client terminal device, and obtain the lithium battery pack operating parameter threshold range and the current lithium battery pack operating data from the lithium battery reliability status evaluation instruction. The lithium battery reliability status evaluation device obtains the reliability factor corresponding to each operating data of the lithium battery pack based on the current lithium battery pack operating data, and obtains the degree of deviation of each operating data in the corresponding threshold threshold interval based on the reliability factor and the lithium battery pack operating parameter threshold, that is, the reliability parameter corresponding to each operating parameter, and then obtains the reliability parameter corresponding to the lithium battery pack based on the reliability parameter of each operating data. The lithium battery reliability status evaluation device can obtain the operating status of the lithium battery pack based on the reliability parameter corresponding to the lithium battery pack, and send the lithium battery operating status to the client device for display, so that the user can choose whether to execute the fault plan action based on the lithium battery status.

[0045] It is understandable that the client device may include a smart phone, a tablet electronic device, a portable computer, a desktop computer, a personal digital assistant (PDA), etc.

[0046] In another practical application scenario, the part of the lithium battery reliability status assessment can be performed in the classification processing center as described above, or all operations can be completed in the client device. The specific selection can be based on the processing capacity of the client device and the limitations of the user's usage scenario. This application is not limited to this. If all operations are completed in the client device, the client device may also include a processor for performing specific processing of the lithium battery reliability status assessment.

[0047] The above-mentioned client device may have a communication module (i.e., a communication unit), which can be connected to a remote server for communication and data transmission with the server. For example, the communication unit can send a lithium battery reliability status assessment instruction to a server in a classification processing center so that the server can perform lithium battery reliability status assessment processing according to the lithium battery reliability status assessment instruction. The communication unit can also receive the current lithium battery operating status returned by the server. The server may include a server on the task scheduling center side, and other implementation scenarios may also include a server on an intermediate platform, such as a server on a third-party server platform that has a communication link with the task scheduling center server. The server may include a single computer device, or may include a server cluster consisting of multiple servers, or a server structure of a distributed device.

[0048] The server and the client device may communicate using any suitable network protocol, including network protocols that have not yet been developed as of the filing date of this application. Examples of such network protocols include TCP / IP, UDP / IP, HTTP, and HTTPS. Furthermore, examples of such network protocols include RPC (Remote Procedure Call Protocol) and REST (Representational State Transfer) protocols, which are used on top of the aforementioned protocols.

[0049] This application provides a lithium battery reliability status assessment method, system, electronic device, and computer-readable storage medium. Based on the upper and lower threshold intervals of multiple parameters for safe battery operation, the reliability parameters of each current battery parameter within the threshold interval are calculated. The larger the reliability parameter, the lower the reliability. Based on the reliability of each parameter, the final reliability parameter of the battery is obtained as the final reliability parameter of the battery, and the battery status is then determined. The calculation results of this application have clear and quantifiable physical meanings, can directly evaluate the current state of the battery pack and its ability to maintain the current normal state, and are of guiding significance for optimizing system operation.

[0050] The details are described through the following multiple embodiments and application examples.

[0051] In order to solve the problem that the existing technology estimates the battery status, such as the state of charge (SOC) estimation method, which only considers the current state of charge of the battery and has a single perspective and cannot quantify the battery's current ability to ensure the completion of charging and discharging tasks, the present application provides an embodiment of a lithium battery reliability status assessment method, see Figure 1 The lithium battery reliability status assessment method specifically includes the following contents:

[0052] Step 100: Obtaining a reliability factor of the lithium battery pack based on current lithium battery pack operating data;

[0053] It is understandable that before calculating the reliability factor, the acquired lithium battery pack operating data needs to be cleaned. The data cleaning rule is to fill in abnormal values, such as missing values or significantly unreasonable values. Missing values are due to communication failures or storage failures, resulting in the value at the time stamp being empty. Significantly unreasonable data values are data anomalies caused by communication failures, including data being set to zero or exceeding the measurement range. Filling methods include replacing the abnormal value with the previous or next normal value, or performing linear or nonlinear interpolation on the abnormal value.

[0054] A lithium battery pack is a battery system composed of one or more battery cells, which are integrated through a certain series-parallel design. The operating data of the lithium battery pack includes: lithium battery operating time, lithium battery voltage and lithium battery temperature. Based on the processed lithium battery pack operating data, the reliability factor corresponding to each operating data is obtained. The reliability factor is the union of indicators that can trigger battery pack failure. The lithium battery pack reliability factor includes the lithium battery pack high-voltage reliability factor, low-voltage reliability factor, pressure difference reliability factor, high-temperature reliability factor, low-temperature reliability factor, temperature difference reliability factor and temperature rise reliability factor.

[0055] Step 200: Obtaining a reliability parameter of the lithium battery pack according to the reliability factor and the lithium battery pack operating parameter threshold;

[0056] It is understandable that, based on the battery usage specifications and specific operating conditions, the upper and lower threshold ranges of multiple parameters for safe battery operation are determined in advance. For example, when the battery is charging, discharging, or at rest, the threshold ranges of each parameter are:

[0057] Single cell voltage threshold range [v f ,v c ]

[0058] Pressure difference threshold range [dv f ,dv c ]

[0059] Monomer temperature threshold range [t f ,t c ]

[0060] Temperature difference threshold interval [dt f ,dt c ]

[0061] Temperature rise threshold range [rt f ,rt c ]

[0062] Where v and t represent voltage and temperature, respectively. The prefixes d and r represent the difference and increase of a parameter, respectively. The subscripts c and f represent the upper and lower thresholds of a parameter.

[0063] According to the reliability factor corresponding to each operating data and the lithium battery pack operating parameter threshold, the deviation degree of each battery operating data in the corresponding threshold range can be obtained, and the lithium battery pack reliability parameter can be obtained according to the deviation degree of each operating data.

[0064] Step 300: Determine the reliability status of the lithium battery pack according to the lithium battery pack operating data, the lithium battery pack operating parameter threshold, and the lithium battery pack reliability parameter;

[0065] It can be understood that the reliability of a lithium battery pack is the ability of an energy storage battery pack to perform specified functions without failure under system constraints. System constraints refer to the union of constraints that the energy storage system should obey to complete the specified functions. If the operating data of the lithium battery pack does not exceed the operating parameter threshold 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 charging and discharging or standby state; if the operating data of the lithium battery pack exceeds the operating 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 operating data is within the threshold range, the reliability parameter is greater than 0, and the battery (group) can maintain the current charging and discharging or standby state; when a certain operating data exceeds the threshold range, the reliability parameter is equal to 0, and the battery (group) cannot maintain the current charging and discharging or standby state, and instead executes the fault plan action.

[0066] From the above description, it can be seen that the embodiment of the present application provides a lithium battery reliability status assessment method. According to the upper and lower threshold intervals of multiple parameters for safe battery operation, the reliability parameters of each parameter of the current battery in the threshold interval are calculated respectively. The larger the reliability parameter, the lower the reliability. The final reliability parameter of the battery is obtained based on the reliability of each parameter, and the final reliability parameter of the battery is used as the final reliability parameter of the battery to further judge the battery status. The calculation results of the present application have clear and quantifiable physical meanings, which can directly evaluate the current state of the battery pack and its ability to maintain the current normal state, and have guiding significance for the optimization of system operation.

[0067] In one embodiment of a lithium battery reliability status assessment method provided in the present application, obtaining a lithium battery pack reliability factor based on current lithium battery pack operating data includes:

[0068] According to the voltage data of the lithium battery pack during operation, the high-voltage reliability factor, low-voltage reliability factor and pressure difference reliability factor of the lithium battery pack are obtained;

[0069] According to the temperature data of the lithium battery pack during operation, the high temperature reliability factor, low temperature reliability factor, temperature difference reliability factor and temperature rise reliability factor of the lithium battery pack are obtained.

[0070] In this embodiment, the maximum and minimum voltage values of the lithium battery during the operation time of the lithium battery are obtained to obtain the high voltage reliability factor and low voltage reliability factor of the lithium battery pack; the pressure difference reliability factor is obtained based on the maximum and minimum voltage values of the lithium battery. High voltage reliability factor: v max =max(v s ); low voltage reliability factor: v min =min(v s ); Pressure difference reliability factor: dv = v max -v min .

[0071] Obtain the maximum and minimum temperatures of the lithium battery during its operation time to obtain the high-temperature reliability factor and low-temperature reliability factor of the lithium battery pack; obtain the temperature difference reliability factor based on the maximum and minimum temperatures of the lithium battery; and obtain the temperature rise reliability factor based on the lithium battery temperature corresponding to each operating time point of the lithium battery. High-temperature reliability factor: t max =max(t s ); Low temperature reliability factor: t min =min(t s ); Temperature difference reliability factor: dt = t max -t min ; Battery temperature rise reliability factor: 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。

[0072] In one embodiment of a lithium battery reliability status assessment method provided in the present application, obtaining the lithium battery pack reliability parameter according to the reliability factor and the lithium battery pack operating parameter threshold includes:

[0073] 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 operating parameter threshold;

[0074] 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 operating parameter threshold;

[0075] The reliability parameter of the lithium battery pack is obtained 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.

[0076] In this embodiment, according to the high voltage reliability factor v max , low voltage reliability factor v min , pressure difference reliability factor dv and the lithium battery pack operating parameter threshold, to obtain high voltage reliability parameter, low voltage reliability parameter and pressure difference reliability parameter, that is,

[0077] Voltage (high voltage) reliability:

[0078]

[0079] Voltage (low voltage) reliability:

[0080]

[0081] Pressure difference reliability:

[0082]

[0083] 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 the lithium battery pack operating parameter threshold, obtain the high temperature reliability parameter, low temperature reliability parameter, temperature difference reliability parameter and temperature rise reliability parameter, that is,

[0084] Temperature (high temperature) reliability:

[0085]

[0086] Temperature (low temperature) reliability:

[0087]

[0088] Temperature difference reliability:

[0089]

[0090] Temperature rise reliability:

[0091]

[0092] The minimum value among the high-voltage reliability parameter, low-voltage reliability parameter, pressure difference reliability parameter, high-temperature reliability parameter, low-temperature reliability parameter, temperature difference reliability parameter and temperature rise reliability parameter is selected as the reliability parameter of the lithium battery pack. That is, the battery pack reliability is calculated as:

[0093] R s =min{R hv1 ,R hv2 ,R dv ,R ht1 ,R ht2 ,R dt ,R rt}

[0094] From the above description, it can be seen that the present application provides a lithium battery reliability status assessment method, which divides the safety threshold range of each battery detection parameter according to the task requirements under the battery usage scenario, and solves the reliability parameters of each parameter accordingly, and further solves the reliability parameters of the battery pack; when each parameter is within the threshold range, the reliability parameter is greater than 0, and the battery (pack) can maintain the current charge and discharge or standby state; when a parameter exceeds the threshold range, the reliability parameter is equal to 0, the battery (pack) cannot maintain the current charge and discharge or standby state, and instead executes the fault plan action; the calculated results have clear and quantifiable physical meanings, which can directly evaluate the current state of the battery pack and its ability to maintain the current normal state, and have guiding significance for system optimization operation.

[0095] Secondly, in order to solve the problem that the existing technology estimates the battery status, such as the state of charge (SOC) estimation method, which only considers the current state of charge of the battery and has a single perspective and cannot quantify the battery's current ability to ensure the completion of charging and discharging tasks, the present application provides an embodiment of a lithium battery reliability status assessment system, see Figure 2 The lithium battery reliability status assessment system specifically includes the following contents:

[0096] Reliability factor calculation unit 01: obtains the reliability factor of the lithium battery pack according to the lithium battery pack operation data;

[0097] Reliability parameter calculation unit 02: obtains the reliability parameter of the lithium battery pack according to the reliability factor and the lithium battery pack operating parameter threshold;

[0098] The battery status determining unit 03 determines the reliability status of the lithium battery pack according to the lithium battery pack operating data, the lithium battery pack operating parameter threshold, and the lithium battery pack reliability parameter.

[0099] In this embodiment, the reliability factor calculation unit 01 obtains the reliability factor corresponding to each operating data based on the lithium battery pack operating data. The lithium battery pack reliability factor includes the lithium battery pack high-voltage reliability factor, low-voltage reliability factor, pressure difference reliability factor, high-temperature reliability factor, low-temperature reliability factor, temperature difference reliability factor and 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 the lithium battery pack operating data. The data cleaning rule is to fill in abnormal values, such as missing values or significantly unreasonable values. Missing values are due to communication failures or storage failures, resulting in the value under the timestamp being empty. Significantly unreasonable data values are data anomalies caused by communication failures, including data zeroing, or exceeding the measurement range. The filling method includes replacing the abnormal value with the previous or next normal value, or performing linear or nonlinear interpolation on the abnormal value.

[0100] The reliability parameter calculation unit 02 can obtain the degree of deviation of each battery operating data in the corresponding threshold range based on the reliability factor corresponding to each operating data and the lithium battery pack operating parameter threshold. The lithium battery pack reliability parameter can be obtained based on the deviation of each operating data, and the lithium battery pack reliability parameter is transmitted to the battery status determination unit 03. Among them, the lithium battery pack operating parameter threshold is determined in advance by the reliability parameter calculation unit 02 or the reliability factor calculation unit 01 according to the battery usage specification and specific operating conditions. The threshold range of each parameter is:

[0101] Single cell voltage threshold range [v f ,v c ]; pressure difference threshold interval [dv f ,dv c ]; Single temperature threshold range [t f ,t c ]; Temperature difference threshold interval [dt f ,dt c ]; Temperature rise threshold range [rt f ,rt c ], where v and t represent voltage and temperature respectively, the prefixes d and r represent the difference and increase of a parameter respectively, and the subscripts c and f represent the upper and lower thresholds of a parameter.

[0102] The battery status determination unit 03 determines the operating status of the lithium battery pack based on the lithium battery pack operating data, the lithium battery pack operating parameter threshold, and the lithium battery pack reliability parameter. When the operating data is within the threshold range, the reliability parameter is greater than 0, indicating that the battery (pack) can maintain the current charge, discharge, or standby state. When any operating data exceeds the threshold range, the reliability parameter is equal to 0, indicating that the battery (pack) cannot maintain the current charge, discharge, or standby state, and the fault prevention plan action is executed instead.

[0103] From the above description, it can be seen that the embodiment of the present application provides a lithium battery reliability status assessment system. Based on the upper and lower threshold intervals of multiple parameters for safe battery operation, the reliability parameters of each parameter of the current battery in the threshold interval are calculated respectively. The larger the reliability parameter, the lower the reliability. The final reliability parameter of the battery is obtained based on the reliability of each parameter, and the final reliability parameter of the battery is used as the final reliability parameter of the battery to further judge the battery status. The calculation results of the present application have clear and quantifiable physical meanings, which can directly evaluate the current state of the battery pack and its ability to maintain the current normal state, and have guiding significance for the optimization of system operation.

[0104] From a hardware perspective, in order to address the problem that existing technologies for estimating battery status, such as the state of charge (SOC) estimation method, only consider the current state of charge of the battery, which is a single perspective and cannot quantify the battery's current ability to ensure the completion of charging and discharging tasks, the present application provides an embodiment of an electronic device that includes all or part of the content of the lithium battery reliability status assessment method, and the electronic device specifically includes the following content:

[0105] Figure 3 Schematic block diagram of the system structure of the electronic device 9600 according to an embodiment of the present application. Figure 3 As shown, the electronic device 9600 may include a central processing unit 9100 and a memory 9140; the memory 9140 is coupled to the central processing unit 9100. It is worth noting that the Figure 3 is exemplary; other types of structures may also be used to supplement or replace this structure to implement telecommunication functions or other functions.

[0106] In one embodiment, the lithium battery reliability status assessment function may be integrated into a central processing unit.

[0107] The central processing unit can be configured to perform the following control:

[0108] Step 100: Obtaining a reliability factor of the lithium battery pack based on current lithium battery pack operating data;

[0109] It is understandable that before calculating the reliability factor, the acquired lithium battery pack operating data needs to be cleaned. The data cleaning rule is to fill in abnormal values, such as missing values or significantly unreasonable values. Missing values are due to communication failures or storage failures, resulting in the value at the time stamp being empty. Significantly unreasonable data values are data anomalies caused by communication failures, including data being set to zero or exceeding the measurement range. Filling methods include replacing the abnormal value with the previous or next normal value, or performing linear or nonlinear interpolation on the abnormal value.

[0110] The lithium battery pack operating data includes: lithium battery operating time, lithium battery voltage and lithium battery temperature. Based on the processed lithium battery pack operating data, the reliability factor corresponding to each operating data is obtained. The lithium battery pack reliability factor includes the lithium battery pack high-voltage reliability factor, low-voltage reliability factor, pressure difference reliability factor, high-temperature reliability factor, low-temperature reliability factor, temperature difference reliability factor and temperature rise reliability factor.

[0111] Step 200: Obtaining a reliability parameter of the lithium battery pack according to the reliability factor and the lithium battery pack operating parameter threshold;

[0112] It is understandable that, based on the battery usage specifications and specific operating conditions, the upper and lower threshold ranges of multiple parameters for safe battery operation are determined in advance. For example, when the battery is charging, discharging, or at rest, the threshold ranges of each parameter are:

[0113] Single cell voltage threshold range [v f ,v c ]

[0114] Pressure difference threshold range [dv f ,dv c ]

[0115] Monomer temperature threshold range [t f ,t c ]

[0116] Temperature difference threshold interval [dt f ,dt c ]

[0117] Temperature rise threshold range [rt f ,rt c ]

[0118] Where v and t represent voltage and temperature, respectively. The prefixes d and r represent the difference and increase of a parameter, respectively. The subscripts c and f represent the upper and lower thresholds of a parameter.

[0119] According to the reliability factor corresponding to each operating data and the lithium battery pack operating parameter threshold, the deviation degree of each battery operating data in the corresponding threshold range can be obtained, and the lithium battery pack reliability parameter can be obtained according to the deviation degree of each operating data.

[0120] Step 300: Determine the reliability status of the lithium battery pack according to the lithium battery pack operating data, the lithium battery pack operating parameter threshold, and the lithium battery pack reliability parameter;

[0121] It is understood that if the lithium battery pack operating data does not exceed the lithium battery pack operating parameter threshold and the lithium battery pack reliability parameter is greater than 0, the lithium battery pack is in the charging, discharging or standby state; if the lithium battery pack operating data exceeds the lithium battery pack operating parameter threshold and the lithium battery pack reliability parameter is 0, the lithium battery pack cannot be in a normal state. That is, when each operating data is within the threshold range, the reliability parameter is greater than 0, and the battery (group) can maintain the current charging, discharging or standby state; when a certain operating data exceeds the threshold range, the reliability parameter is equal to 0, the battery (group) cannot maintain the current charging, discharging or standby state, and instead executes the fault plan action.

[0122] As can be seen from the above description, an electronic device provided by an embodiment of the present application calculates the reliability parameters of each parameter of the current battery within the threshold interval based on the upper and lower threshold intervals of multiple parameters for safe operation of the battery. The larger the reliability parameter, the lower the reliability; the final reliability parameter of the battery is obtained based on the reliability of each parameter, and is used as the final reliability parameter of the battery to further judge the battery status. The calculation results of this application have clear and quantifiable physical meanings, can directly evaluate the current state of the battery pack and its ability to maintain the current normal state, and have guiding significance for the optimization of system operation.

[0123] In another embodiment, the lithium battery reliability status evaluation device can be configured separately from the central processing unit 9100. For example, the lithium battery reliability status evaluation device can be configured as a chip connected to the central processing unit 9100, and the lithium battery reliability status evaluation function can be realized through the control of the central processing unit.

[0124] like Figure 3 As shown, 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 worth noting that the electronic device 9600 does not necessarily have to include Figure 3 In addition, the electronic device 9600 may also include all components shown in Figure 3 For components not shown, reference may be made to the prior art.

[0125] like Figure 3As shown, the central processing unit 9100 is sometimes also referred to as a controller or operation control, and may include a microprocessor or other processor device and / or logic device. The central processing unit 9100 receives input and controls the operation of various components of the electronic device 9600.

[0126] Memory 9140 can be, for example, one or more of a cache, flash memory, hard drive, removable media, volatile memory, non-volatile memory, or other suitable devices. It can store the aforementioned failure-related information and also store programs that execute the relevant information. The CPU 9100 can execute the programs stored in memory 9140 to implement information storage or processing.

[0127] The input unit 9120 provides input to the central processing unit 9100. The input unit 9120 may be, for example, a keypad or touch input device. The power supply 9170 is used to provide power to the electronic device 9600. The display 9160 is used to display objects such as images and text. The display may be, for example, an LCD display, but is not limited thereto.

[0128] The memory 9140 may be a solid-state memory, such as a read-only memory (ROM), a random access memory (RAM), or a SIM card. Alternatively, it may be a memory that retains information even when power is off, can be selectively erased, and is provided with more data. Examples of such memory are sometimes referred to as EPROMs. 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 unit 9142 for storing application programs and function programs or processes for executing the operation of the electronic device 9600 by the central processing unit 9100.

[0129] The memory 9140 may also include a data storage unit 9143 for storing data, such as contacts, digital data, pictures, sounds, and / or any other data used by the electronic device. The driver storage unit 9144 of the memory 9140 may include various driver programs for communication functions of the electronic device and / or for executing other functions of the electronic device (such as messaging applications, address book applications, etc.).

[0130] The communication module 9110 is a transmitter / receiver 9110 that transmits and receives signals via an antenna 9111. The communication module (transmitter / receiver) 9110 is coupled to the central processor 9100 to provide input signals and receive output signals, which may be the same as in a conventional mobile communication terminal.

[0131] Based on different communication technologies, multiple communication modules 9110 can be provided in the same electronic device, such as a cellular network module, a Bluetooth module, and / or a wireless local area network module. 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 receive audio input from the microphone 9132, thereby implementing common telecommunication functions. The audio processor 9130 may include any suitable buffer, decoder, amplifier, etc. Furthermore, the audio processor 9130 is also coupled to the central processing unit 9100, enabling local recording via the microphone 9132 and playback of stored audio via the speaker 9131.

[0132] The embodiments of the present application also provide a computer-readable storage medium capable of implementing all steps of the lithium battery reliability status assessment method in the above embodiments. The computer-readable storage medium stores a computer program. When the computer program is executed by a processor, all steps of the lithium battery reliability status assessment system in the above embodiments, in which the execution subject is a server or a client, are implemented. For example, when the processor executes the computer program, the following steps are implemented:

[0133] Step 100: Obtaining a reliability factor of the lithium battery pack based on current lithium battery pack operating data;

[0134] It is understandable that before calculating the reliability factor, the acquired lithium battery pack operating data needs to be cleaned. The data cleaning rule is to fill in abnormal values, such as missing values or significantly unreasonable values. Missing values are due to communication failures or storage failures, resulting in the value at the time stamp being empty. Significantly unreasonable data values are data anomalies caused by communication failures, including data being set to zero or exceeding the measurement range. Filling methods include replacing the abnormal value with the previous or next normal value, or performing linear or nonlinear interpolation on the abnormal value.

[0135] The lithium battery pack operating data includes: lithium battery operating time, lithium battery voltage and lithium battery temperature. Based on the processed lithium battery pack operating data, the reliability factor corresponding to each operating data is obtained. The lithium battery pack reliability factor includes the lithium battery pack high-voltage reliability factor, low-voltage reliability factor, pressure difference reliability factor, high-temperature reliability factor, low-temperature reliability factor, temperature difference reliability factor and temperature rise reliability factor.

[0136] Step 200: Obtaining a reliability parameter of the lithium battery pack according to the reliability factor and the lithium battery pack operating parameter threshold;

[0137] It is understandable that, based on the battery usage specifications and specific operating conditions, the upper and lower threshold ranges of multiple parameters for safe battery operation are determined in advance. For example, when the battery is charging, discharging, or at rest, the threshold ranges of each parameter are:

[0138] Single cell voltage threshold range [v f ,v c ]

[0139] Pressure difference threshold range [dv f ,dv c ]

[0140] Monomer temperature threshold range [t f ,t c ]

[0141] Temperature difference threshold interval [dt f ,dt c ]

[0142] Temperature rise threshold range [rt f ,rt c ]

[0143] Where v and t represent voltage and temperature, respectively. The prefixes d and r represent the difference and increase of a parameter, respectively. The subscripts c and f represent the upper and lower thresholds of a parameter.

[0144] According to the reliability factor corresponding to each operating data and the lithium battery pack operating parameter threshold, the deviation degree of each battery operating data in the corresponding threshold range can be obtained, and the lithium battery pack reliability parameter can be obtained according to the deviation degree of each operating data.

[0145] Step 300: Determine the reliability status of the lithium battery pack according to the lithium battery pack operating data, the lithium battery pack operating parameter threshold, and the lithium battery pack reliability parameter;

[0146] It is understood that if the lithium battery pack operating data does not exceed the lithium battery pack operating parameter threshold and the lithium battery pack reliability parameter is greater than 0, the lithium battery pack is in the charging, discharging or standby state; if the lithium battery pack operating data exceeds the lithium battery pack operating parameter threshold and the lithium battery pack reliability parameter is 0, the lithium battery pack cannot be in a normal state. That is, when each operating data is within the threshold range, the reliability parameter is greater than 0, and the battery (group) can maintain the current charging, discharging or standby state; when a certain operating data exceeds the threshold range, the reliability parameter is equal to 0, the battery (group) cannot maintain the current charging, discharging or standby state, and instead executes the fault plan action.

[0147] As can be seen from the above description, the computer-readable storage medium provided in the embodiment of the present application calculates the reliability parameters of each parameter of the current battery within the threshold interval based on the upper and lower threshold intervals of multiple parameters for safe operation of the battery. The larger the reliability parameter, the lower the reliability; the final reliability parameter of the battery is obtained based on the reliability of each parameter, which is used as the final reliability parameter of the battery to further determine the battery status. The calculation results of this application have clear and quantifiable physical meanings, can directly evaluate the current state of the battery pack and its ability to maintain the current normal state, and have guiding significance for system optimization operation.

[0148] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, apparatus, or computer program products. Thus, 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 implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0149] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (apparatus), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as a combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0150] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0151] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1A step that specifies a function in one or more boxes.

[0152] Specific embodiments are used in the present invention to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core ideas. At the same time, for those skilled in the art, according to the ideas of the present invention, there may be changes in the specific implementation methods and application scopes. In summary, the contents of this specification should not be understood as limiting the present invention.

Claims

1. A method for evaluating the reliability of a lithium battery, characterized in that: include: According to the current lithium battery pack operation data, the reliability factor of the lithium battery pack is obtained; Obtaining a reliability parameter of the lithium battery pack according to the reliability factor and the lithium battery pack operating parameter threshold; Determining a reliability status of the lithium battery pack according to the lithium battery pack operating data, the lithium battery pack operating parameter threshold, and the lithium battery pack reliability parameter; The lithium battery pack operation data includes: lithium battery operation time, lithium battery voltage and lithium battery temperature. The lithium battery pack reliability factor is obtained based on the current lithium battery pack operation data, including: According to the voltage data of the lithium battery pack during operation, the high-voltage reliability factor, low-voltage reliability factor and pressure difference reliability factor of the lithium battery pack are obtained; According to the temperature data of the lithium battery pack during operation, the high temperature reliability factor, low temperature reliability factor, temperature difference reliability factor and temperature rise reliability factor of the lithium battery pack are obtained; The high-voltage reliability factor, low-voltage reliability factor, and differential pressure reliability factor of the lithium battery pack are obtained based on the voltage data during the operation of the lithium battery pack, including: Obtain the maximum and minimum voltage values of the lithium battery during its operation time, and obtain the high-voltage reliability factor and low-voltage reliability factor of the lithium battery pack; Obtaining the voltage difference reliability factor according to the maximum voltage and the minimum voltage of the lithium battery; The method of obtaining the high temperature reliability factor, low temperature reliability factor, temperature difference reliability factor and temperature rise reliability factor of the lithium battery pack based on the temperature data during the operation of the lithium battery pack includes: Obtain the maximum and minimum temperatures of the lithium battery during its operation time, and obtain the high-temperature reliability factor and low-temperature reliability factor of the lithium battery pack; Obtaining the temperature difference reliability factor according to the maximum temperature and the minimum temperature of the lithium battery; The temperature rise reliability factor is obtained according to the lithium battery temperature corresponding to each operating time point of the lithium battery.

2. The lithium battery reliability status assessment method according to claim 1, characterized in that: The lithium battery reliability status assessment method includes: According to the operating conditions of the lithium battery, the operating parameter thresholds of the lithium battery under normal operating conditions are determined.

3. The lithium battery reliability status assessment method according to claim 1, characterized in that: Obtaining the reliability parameter of the lithium battery pack according to the reliability factor and the lithium battery pack operating parameter threshold 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 operating 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 operating parameter threshold; The reliability parameter of the lithium battery pack is obtained 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.

4. The lithium battery reliability status assessment method according to claim 1, characterized in that: The determining the reliability status of the lithium battery pack according to the lithium battery pack operation data, the lithium battery pack operation parameter threshold, and the lithium battery pack reliability parameter includes: If the lithium battery pack operating data does not exceed the lithium battery pack operating parameter threshold, and the lithium battery pack reliability parameter is greater than the set threshold, the lithium battery pack is in a charging or discharging or standby state; If the lithium battery pack operating data exceeds the lithium battery pack operating parameter threshold and the lithium battery pack reliability parameter reaches a set threshold, the lithium battery pack cannot be in a normal state.

5. A lithium battery reliability status assessment system, based on the lithium battery reliability status assessment method according to any one of claims 1 to 4, characterized in that: include: Reliability factor calculation unit: obtains the reliability factor of the lithium battery pack according to the lithium battery pack operation data; A reliability parameter calculation unit: obtaining a reliability parameter of the lithium battery pack according to the reliability factor and the lithium battery pack operating parameter threshold; A battery status determining unit is configured to determine the reliability status of the lithium battery pack according to the lithium battery pack operating data, the lithium battery pack operating parameter threshold, and the lithium battery pack reliability parameter.

6. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the lithium battery reliability status assessment method according to any one of claims 1 to 4 is implemented.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for evaluating the reliability status of a lithium battery according to any one of claims 1 to 4 is implemented.

Images