Battery quality assurance evaluation method, device and equipment and storage medium

Abstract

The invention discloses a battery quality assurance evaluation method and device, equipment and a storage medium. The method comprises the following steps: acquiring capacity time-varying data of different batteries under different environmental conditions; determining a battery capacity model according to the capacity time-varying data; determining a battery accumulated power consumption model in the working process of the battery; wherein the battery accumulated power consumption model is a battery power consumption degradation model determined based on the actual power consumption working condition of the battery; within the warranty time, carrying out integral processing on the battery accumulated power consumption model to determine a battery capacity loss model; determining a battery residual capacity model according to the battery capacity model and the battery capacity loss model; and according to the battery residual capacity model, determining whether the battery has a quality guarantee demand in an actual environment. According to the scheme, whether the alkaline battery meets the quality assurance requirement or not is reliably evaluated.

Description

Technical Field

[0001] This invention relates to the field of battery technology, and in particular to a battery quality assurance assessment method, apparatus, device, and storage medium. Background Technology

[0002] Batteries, as key components for energy conversion and storage, provide stable and reliable power for various battery quality assessment equipment and systems, and are the cornerstone of modern portable electronics and the Internet of Things. Currently, alkaline batteries, as a common power source for household appliances, have advantages such as low price, no mercury or other toxic substances, replaceability, large capacity, and the ability to provide intermittent or continuous output. They are also widely used in smart meters.

[0003] Research on the warranty requirements for alkaline batteries only focuses on the capacity degradation of alkaline batteries under static conditions. This approach provides a limited understanding of the factors influencing the warranty requirements of alkaline batteries and makes it impossible to reliably assess their warranty status. Summary of the Invention

[0004] This invention provides a battery warranty assessment method, apparatus, device, and storage medium to reliably assess whether a battery meets warranty requirements.

[0005] To achieve the above objectives, in a first aspect, embodiments of the present invention provide a battery warranty assessment method, the method comprising:

[0006] Acquire time-varying capacity data for different batteries under different environmental conditions;

[0007] Determine the battery capacity model based on the time-varying capacity data;

[0008] A battery cumulative power consumption model is determined during battery operation; wherein, the battery cumulative power consumption model is a battery power consumption degradation model determined based on the actual power consumption conditions of the battery.

[0009] During the warranty period, the battery capacity model and the battery cumulative power consumption model are used to determine whether the battery meets the warranty requirements under actual environmental conditions.

[0010] Within the warranty period, determining whether the battery meets the warranty requirements under actual environmental conditions based on the battery capacity model and the battery cumulative power consumption model includes:

[0011] During the warranty period, the cumulative power consumption model of the battery is integrated to determine the battery capacity loss model;

[0012] The remaining battery capacity model is determined based on the battery capacity model and the battery capacity loss model.

[0013] The battery warranty requirement is determined based on the battery remaining capacity model under actual conditions.

[0014] Optionally, determining the battery capacity model based on the time-varying capacity data includes:

[0015] Different battery capacity sub-models are determined based on the time-varying capacity data.

[0016] The characteristic parameters of the battery capacity model are determined by performing distribution fitting on the characteristic parameters in different battery capacity sub-models.

[0017] Optionally, determine the battery power consumption model, including:

[0018] Under different power consumption conditions, acquire time-varying power consumption data of different batteries under different environmental conditions;

[0019] Based on the time-varying power consumption data, different battery power consumption models are determined for different power consumption conditions.

[0020] Based on the actual power consumption model of the battery, the cumulative power consumption model of the battery is determined according to the different power consumption models of the battery under different power consumption conditions.

[0021] Optionally, based on the time-varying power consumption data, different battery power consumption models are determined for different power consumption conditions, including:

[0022] Based on the time-varying power consumption data, battery power consumption sub-models for different environmental conditions are determined; wherein, the feature values ​​in the battery power consumption sub-models include initial power consumption value, power consumption influence parameters, and degradation constant;

[0023] Based on each of the battery power consumption sub-models, determine the battery characteristic lifetime parameters and corresponding shape parameters for different environmental conditions;

[0024] Based on the temperature and humidity formula, the temperature and humidity model is determined according to the characteristic life parameters of each battery under different environmental conditions;

[0025] Determine the degradation impact parameters of the battery power consumption model under specific power consumption conditions based on the temperature and humidity model.

[0026] The initial power consumption values ​​and degradation constants are averaged to determine the initial power consumption parameters and degradation constants of the battery power consumption model under specific power consumption conditions.

[0027] Optionally, battery characteristic lifetime parameters and shape parameters under different environmental conditions are determined based on each of the battery power consumption sub-models, including:

[0028] The pseudo-life of each battery under different environmental conditions is determined based on the battery power consumption sub-model and failure threshold under different environmental conditions.

[0029] The pseudo-lifetime distribution of each battery is fitted to determine the pseudo-lifetime distribution type;

[0030] Under different environmental conditions, the failure probabilities corresponding to the pseudo-lifetime of each battery are determined based on the failure probability model.

[0031] Under different environmental conditions, based on the pseudo-lifetime distribution type, the characteristic lifetime parameters of the battery are determined according to the pseudo-lifetime of each battery and the failure probability of each battery.

[0032] Optionally, based on the actual power consumption model of the battery, the cumulative power consumption model of the battery is determined according to different power consumption models under different power consumption conditions, including:

[0033] Based on the actual power consumption model of the battery, the power consumption models of each battery are superimposed to output the cumulative power consumption model of the battery.

[0034] Optionally, during the warranty period, based on the battery capacity model and the battery cumulative power consumption model, it is determined whether the battery meets the warranty requirements under actual environmental conditions, including:

[0035] During the warranty period, the cumulative power consumption model of the battery is integrated to output the battery capacity loss model;

[0036] Based on the battery capacity model and the battery capacity loss model, output the remaining battery capacity model;

[0037] During the warranty period, the battery's remaining capacity under actual environmental conditions is assessed based on the battery's remaining capacity model under actual environmental conditions to determine whether the battery meets the warranty requirements.

[0038] Secondly, embodiments of the present invention also provide a battery warranty assessment device, the device comprising:

[0039] The acquisition module is used to acquire time-varying capacity data of different batteries under different environmental conditions;

[0040] The first determining module is used to determine the battery capacity model based on the time-varying capacity data.

[0041] The second determining module is used to determine the battery cumulative power consumption model; wherein, the battery cumulative power consumption model is a battery power consumption degradation model determined based on the actual power consumption conditions of the battery;

[0042] The evaluation module is used to determine whether the battery meets the warranty requirements under actual environmental conditions within the warranty period, based on the battery capacity model and the battery cumulative power consumption model.

[0043] The evaluation module specifically involves: within the warranty period, performing integral processing on the cumulative power consumption model of the battery to determine the battery capacity loss model;

[0044] The remaining battery capacity model is determined based on the battery capacity model and the battery capacity loss model.

[0045] The battery warranty requirement is determined based on the battery remaining capacity model under actual conditions.

[0046] Thirdly, embodiments of the present invention also provide a battery warranty assessment device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that the processor executes the program to implement the battery warranty assessment method as described in the first aspect.

[0047] Fourthly, embodiments of the present invention also provide a storage medium containing computer-executable instructions, which, when executed by a computer processor, are used to perform the battery warranty assessment method as described in the first aspect.

[0048] In this embodiment of the invention, time-varying capacity data of different batteries under different environmental conditions are acquired; a battery capacity model is determined based on the time-varying capacity data; a battery cumulative power consumption model is determined during battery operation; and within the warranty period, the battery capacity model and the battery cumulative power consumption model are used to determine whether the battery meets the warranty requirements under actual environmental conditions. By combining the battery capacity model and the battery cumulative power consumption model, a reliable assessment of whether the battery meets the warranty requirements is achieved.

[0049] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0050] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0051] Figure 1 This is a flowchart of a battery warranty assessment method provided in an embodiment of the present invention;

[0052] Figure 2 This is a flowchart of another battery warranty assessment method provided in an embodiment of the present invention;

[0053] Figure 3 This is a flowchart of another battery warranty assessment method provided in an embodiment of the present invention;

[0054] Figure 4 This is a schematic diagram of the structure of a battery quality assurance assessment device provided in an embodiment of the present invention;

[0055] Figure 5 This is a schematic diagram of the structure of a battery quality assurance assessment device provided in an embodiment of the present invention. Detailed Implementation

[0056] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0057] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0058] Figure 1 This is a flowchart of a battery warranty assessment method provided by an embodiment of the present invention. This embodiment is applicable to assessing whether a battery meets warranty requirements within the warranty period. The method can be executed by a battery warranty assessment device, which can be implemented by software and / or hardware, and can be configured within a battery warranty assessment equipment. Optionally, the battery warranty assessment equipment can be a microcomputer and a microprocessor chip; this embodiment of the present invention does not impose any limitations on this. Figure 1 As shown, the battery warranty assessment method includes the following steps:

[0059] S110: Obtain time-varying capacity data for different batteries under different environmental conditions.

[0060] The capacity time-varying data refers to the data obtained by measuring the discharge capacity of different batteries under different environmental conditions at certain regular time intervals. This regular time interval can be non-uniform; the setting of the non-uniform time interval can be determined based on the degradation characteristics of different batteries. For example, if the battery's discharge capacity decreases rapidly in the early stages and slowly in the later stages, to improve testing efficiency, the initial time interval can be set to 24 hours, and the subsequent time interval to 48 hours. The regular time interval can also be uniform. This embodiment does not limit the specific setting of the time interval. It is understood that the capacity time-varying data are all greater than the battery discharge capacity failure threshold. For example, the battery discharge capacity failure threshold is 20% of the initial discharge capacity.

[0061] Different environmental conditions refer to different temperature and humidity environments for the battery. Environmental conditions are the primary factor causing battery capacity decay during power supply. This embodiment acquires time-varying capacity data for different batteries under different environmental conditions, allowing the data to reflect the inherent degradation performance of different batteries. In some embodiments, to ensure the testing of the effect of environmental conditions on battery degradation performance, time-varying capacity data for the same number of batteries can be acquired under different environmental conditions. It should also be noted that the batteries in this embodiment may include alkaline batteries, but other types of batteries are also possible; the type of battery is not limited.

[0062] S120. Determine the battery capacity model based on time-varying capacity data.

[0063] Specifically, the capacity time-varying data is preprocessed, such as identifying and removing noisy capacity time-varying data that deviates significantly from the normal trend (e.g., abnormal capacity time-varying data due to measurement errors); if the capacity time-varying data is noisy, a moving average method or filter can be used to smooth the capacity time-varying data, thus completing the outlier preprocessing of the capacity time-varying data; then the preprocessed capacity time-varying data is used to train and output the battery capacity model.

[0064] The battery capacity model can be a mathematical model or a neural network model, and this embodiment does not limit it; the mathematical model can be a linear model, an exponential model, or a polynomial model; in this way, the determined battery capacity model can reflect the change of battery capacity over time, that is, it can reflect the degradation state of the battery itself; the degradation state of the battery itself is the degradation state caused by the destruction of the structure of the active materials inside the battery.

[0065] S130. Determine the cumulative power consumption model of the battery during its operation.

[0066] As the battery's internal resistance increases during power supply, its energy output capacity decreases, meaning that battery power consumption degrades even during normal operation. Therefore, this embodiment can determine the battery's cumulative power consumption model during operation. The battery's cumulative power consumption model can reflect the change in battery power consumption over time, that is, it can reflect the battery's power consumption degradation state under actual power consumption conditions. The battery power consumption degradation state is the degradation state caused by the increase in the battery's internal resistance.

[0067] The actual power consumption condition of the battery is the actual usage condition of the battery within a certain time interval in the model; for example, the actual practical condition can be a mixed condition of static power consumption condition, gas leakage power consumption condition and power consumption reporting condition within a certain time interval.

[0068] The battery cumulative power consumption model can be a mathematical model or a neural network model; this embodiment does not limit this. The mathematical model can be a linear model, an exponential model, or a polynomial model. Furthermore, the methods for determining the battery cumulative power consumption model during battery operation can be varied; this embodiment also does not limit this method.

[0069] S140. During the warranty period, determine whether the battery meets the warranty requirements under actual environmental conditions based on the battery capacity model and the battery cumulative power consumption model.

[0070] Specifically, within the warranty period, the cumulative power consumption model of the battery can be integrated to determine the battery capacity loss model. In this way, the remaining battery capacity model can be determined based on the battery capacity model and the battery capacity loss model (for example, the remaining battery capacity model can be determined by the difference between the battery capacity model and the battery capacity loss model). Thus, the remaining battery capacity model under actual environmental conditions is determined, and the remaining battery capacity model within the actual warranty period is used to determine whether the battery meets the warranty requirements under the current environmental conditions.

[0071] In this embodiment of the invention, time-varying capacity data of different batteries under different environmental conditions are acquired; a battery capacity model is determined based on the time-varying capacity data; a battery cumulative power consumption model is determined during battery operation; and within the warranty period, the battery capacity model and the battery cumulative power consumption model are used to determine whether the battery meets the warranty requirements under actual environmental conditions. In this way, by combining the battery capacity model and the battery cumulative power consumption model, a reliable assessment of whether the battery meets the warranty requirements is achieved.

[0072] Optionally, based on the above embodiments, each step can be further refined. Figure 2 This is a flowchart of another battery warranty assessment method provided in an embodiment of the present invention, such as... Figure 2 As shown, the method includes the following steps:

[0073] S210: Obtain time-varying capacity data for different batteries under different environmental conditions.

[0074] S220. Determine the battery capacity model based on time-varying capacity data.

[0075] Specifically, the battery capacity model is determined based on time-varying capacity data, including: 1) determining different battery capacity sub-models based on time-varying capacity data; the battery capacity sub-models are specifically:

[0076]

[0077] in, , and These are the feature parameters of the battery capacity sub-model; It is a constant; t is the temperature parameter; t is the time parameter.

[0078] 2) Perform distribution fitting on the feature parameters in different battery capacity sub-models to determine the feature parameters of the battery capacity model; specifically, for each battery capacity sub-model, perform distribution fitting on the feature parameters (…). , and By performing distribution fitting, we can obtain... , and The distribution type of each feature parameter is determined, and the corresponding feature parameters are determined based on the distribution type, serving as the feature parameters of the battery capacity model; for example, the following is obtained: If the distribution type of each characteristic parameter is normal, then the characteristic parameters are determined according to the normal distribution. The average value of each characteristic parameter; this average value is used as a characteristic parameter of the battery capacity model.

[0079] S230: Under different power consumption conditions, acquire time-varying power consumption data of different batteries under different environmental conditions.

[0080] In actual operation, the increase in internal resistance of a battery varies under different power consumption conditions, resulting in varying degrees of energy output degradation. Therefore, this embodiment can determine time-varying power consumption data for different batteries under different environmental conditions based on these power consumption conditions, thereby subsequently determining the corresponding cumulative power consumption model. These different power consumption conditions can include static power consumption conditions, gas leakage power consumption conditions, and reporting power consumption conditions. This means that the cumulative power consumption models for the static power consumption condition, the gas leakage power consumption condition, and the reporting power consumption condition can be determined subsequently.

[0081] The time-varying power consumption data is the data obtained by measuring the power consumption of different batteries under different environmental conditions at certain regular time intervals; the certain regular time interval can be non-uniform or uniform; this embodiment does not limit the specific setting of the time interval.

[0082] Different environmental conditions refer to different temperature and humidity environments for the battery; the main factor causing the battery's operating power consumption to increase when supplying power is environmental conditions; this embodiment acquires time-varying data of the operating power consumption of different batteries under different environmental conditions, so that the power consumption degradation performance of the battery can be reflected through the time-varying data of operating power consumption. In some embodiments, in order to ensure the testing of the effect of environmental conditions on battery degradation performance, the time-varying data of the operating power consumption of the same number of batteries can be acquired under different environmental conditions.

[0083] S240. Determine different battery power consumption models under different power consumption conditions based on time-varying power consumption data.

[0084] Specifically, the time-varying power consumption data is preprocessed, such as identifying and removing noisy time-varying power consumption data that deviates significantly from the normal trend (e.g., abnormal time-varying power consumption data caused by measurement errors) to perform outlier preprocessing on the time-varying power consumption data; and training the preprocessed time-varying power consumption data to determine the battery power consumption model under different power consumption conditions.

[0085] Different battery power consumption models corresponding to different power consumption conditions can be mathematical models or neural network models; this embodiment does not limit this. Mathematical models can be linear models, exponential models, and polynomial models (second or third order). Different battery power consumption models corresponding to different power consumption conditions can be the same or different models. Different battery power consumption models can reflect the cumulative change in battery power consumption under different power consumption conditions over time, that is, they can reflect the battery power consumption degradation state under different power consumption conditions.

[0086] S250: Based on the actual power consumption model of the battery, the cumulative power consumption model of the battery is determined according to the different power consumption models under different power consumption conditions.

[0087] Among them, the actual power consumption model of the battery is the power consumption condition corresponding to the user's actual daily battery use; such as: the duration TJ under the average daily static power consumption condition, the duration TZ under the gas leakage power consumption condition, the reporting time TS and the valve switching time F under the reporting power consumption condition.

[0088] Based on the actual battery power consumption model, the cumulative battery power consumption model is determined according to different battery power consumption models under different power consumption conditions. This includes: superimposing different battery power consumption models under different power consumption conditions based on the actual battery power consumption model to output the cumulative battery power consumption model under different power consumption conditions. For example, taking a time interval of 24 hours, the duration of the daily static power consumption condition is 18 hours, and the cumulative battery power consumption under the daily static power consumption condition is W1; the duration of the gas leakage power consumption condition is 5 hours, and the cumulative battery power consumption under the daily gas leakage power consumption condition is W2; the reporting time under the reporting power consumption condition is 1 hour, and the cumulative battery power consumption under the daily reporting power consumption condition is W3; then the cumulative battery power consumption at the daily time interval on the corresponding cumulative battery power consumption model is: In this way, the cumulative power consumption model of the battery can reflect the actual change in battery power consumption under various power consumption conditions over time, and thus reflect the actual battery power consumption degradation state.

[0089] S260. During the warranty period, determine whether the battery meets the warranty requirements under actual environmental conditions based on the battery capacity model and the battery cumulative power consumption model.

[0090] Specifically, within the warranty period, the battery cumulative power consumption model can be integrated to determine the battery capacity loss model. This allows for the determination of the remaining battery capacity model based on both the battery capacity model and the battery capacity loss model. This determines the remaining battery capacity model under actual environmental conditions. If the remaining capacity of each battery determined in the remaining capacity model within the actual warranty period is greater than a preset capacity, then the battery meets the warranty requirements. If the remaining capacity of each battery determined in the remaining capacity model within the actual warranty period is less than the preset capacity, then the battery does not meet the warranty requirements. In some embodiments, the preset capacity can be 0 or a certain value, which can be related to the warranty period and the cumulative power consumption of the battery after the warranty period ends.

[0091] In this embodiment of the invention, time-varying capacity data of different batteries under different environmental conditions are obtained; a battery capacity model is specifically determined based on the time-varying capacity data; and a battery cumulative power consumption model is specifically determined during the battery operation process; within the warranty period, the battery capacity model and the battery cumulative power consumption model are specifically used to determine whether the battery meets the warranty requirements under actual environmental conditions. In this way, by combining the battery capacity model and the battery cumulative power consumption model, a reliable assessment of whether alkaline batteries meet the warranty requirements is achieved.

[0092] Optionally, based on the above embodiments, step S240 can be further refined. Figure 3 This is a flowchart of another battery warranty assessment method provided in an embodiment of the present invention, such as... Figure 3 As shown, the method includes the following steps:

[0093] S310: Acquire time-varying capacity data of different batteries under different environmental conditions.

[0094] S320. Determine the battery capacity model based on time-varying capacity data.

[0095] S330: Under different power consumption conditions, acquire time-varying power consumption data of different batteries under different environmental conditions;

[0096] S340. Determine different battery power consumption models under different power consumption conditions based on time-varying power consumption data and temperature and humidity formulas.

[0097] Here, taking the static power consumption condition as an example, different battery power consumption models are determined under different power consumption conditions based on the time-varying power consumption data, including:

[0098] 1) Determine the battery power consumption sub-models for different environmental conditions based on the time-varying power consumption data; the characteristic values ​​in the battery power consumption sub-models include the initial power consumption value, power consumption influence parameters, and degradation constant;

[0099] Here, we take the power consumption sub-model of each battery under a certain environmental condition as a linear model as an example, specifically:

[0100]

[0101] In the formula, This is the initial power consumption value of the battery. This is a parameter related to power consumption, representing the impact of circuit composition, manufacturing process, and ambient temperature on power consumption. The degradation constant is related to the power consumption aging mechanism;

[0102] 2) Determine the battery characteristic lifetime parameters and corresponding shape parameters for different environmental conditions based on each battery power consumption sub-model; further, step 2) involves determining the battery characteristic lifetime parameters and corresponding shape parameters for different environmental conditions based on each battery power consumption sub-model, including:

[0103] 21) Determine the pseudo lifetime of each battery under different environmental conditions based on the power consumption sub-model and failure threshold of each battery under different environmental conditions; specifically, if the initial power consumption value, power consumption influence parameter and degradation constant in each battery power consumption sub-model are determined, then the pseudo lifetime t1 of each battery can be determined based on the failure threshold y'.

[0104] 22) Fit the distribution of each battery pseudo lifetime t1 to determine the pseudo lifetime distribution type; specifically, the pseudo lifetime distribution type determined by fitting the distribution of each battery pseudo lifetime can be any one of normal distribution, log-normal distribution and Weibull distribution;

[0105] 23) Under different environmental conditions, determine the failure probabilities corresponding to the pseudo-lifetime of each battery based on the failure probability model; specifically, the failure probability model is:

[0106]

[0107] in, The failure probabilities for each battery under different environmental conditions are given. Let i be the pseudo-lifetime of the i-th battery under j environmental conditions, where i = 1, 2, 3...n, and n is the total number of batteries;

[0108] 24) Under different environmental conditions, determine the characteristic lifetime parameters of the battery based on the pseudo-lifetime distribution type, the pseudo-lifetime of each battery, and the failure probability. For example, when the pseudo-lifetime distribution type is a Weibull distribution, the characteristic parameters in the probability distribution formula can be determined based on the pseudo-lifetime distribution type, the pseudo-lifetime of each battery, and the failure probability, i.e., the characteristic lifetime parameter η and the shape parameter m are determined. Since the failure mechanisms of the samples are basically the same, the shape parameter of the pseudo-lifetime distribution type under different environmental conditions is approximately equal, i.e., the theoretical value of m is equal.

[0109] 3) Based on the temperature and humidity formula, determine the temperature and humidity model according to the characteristic lifetime parameters of each battery under different environmental conditions; specifically, the temperature and humidity formula is:

[0110] in, These are the characteristic lifespan parameters of the battery under different environmental conditions; These are the temperature parameters corresponding to different environmental conditions; These are the humidity parameters corresponding to different environmental conditions. , , These are the characteristic parameters of the temperature and humidity model;

[0111] Based on the least squares method, the characteristic parameters of the temperature and humidity model are determined according to the characteristic lifetime parameters of each battery under different environmental conditions. , , This allows us to determine the temperature and humidity model.

[0112] 4) Determine the degradation impact parameters of the battery power consumption model under specific power consumption conditions based on the temperature and humidity model;

[0113] Among them, power consumption impact parameters under specific power consumption conditions It is related to the temperature and humidity parameters under environmental conditions, that is Then you can As a parameter affecting power consumption under specific power consumption conditions.

[0114] 5) Average each initial power consumption value and each degradation constant to determine the initial power consumption parameters and degradation constants of the battery power consumption model under specific power consumption conditions.

[0115] Specifically, it can be used to determine the initial power consumption values ​​of different batteries under different environments. Averaging is performed to determine the initial power consumption parameters under specific power consumption conditions. It can determine the degradation constants of different batteries under different environments. The initial power consumption parameters under specific power consumption conditions are determined by averaging. Therefore, the battery power consumption model under a specific power consumption condition can be determined as follows:

[0116]

[0117] It is understandable that the battery power consumption model under the gas leakage power consumption condition can be determined according to the above method; the battery power consumption model under the above power consumption condition can also be determined accordingly; this will not be elaborated here.

[0118] S350: Based on the actual power consumption model of the battery, the cumulative power consumption model of the battery is determined according to the different power consumption models under different power consumption conditions.

[0119] S360. During the warranty period, determine whether the battery meets the warranty requirements under actual environmental conditions based on the battery capacity model and the battery cumulative power consumption model.

[0120] This invention, in its embodiments, acquires time-varying capacity data of different batteries under different environmental conditions; specifically, determines a battery capacity model based on the time-varying capacity data; and acquires time-varying power consumption data of different batteries under different environmental conditions under different power consumption operating conditions; specifically, determines different battery power consumption models under different power consumption operating conditions based on the time-varying power consumption data; and, based on the actual power consumption operating condition model of the battery, determines the battery cumulative power consumption model according to the different battery power consumption models under different power consumption operating conditions. Thus, within the warranty period, the battery capacity model and the battery cumulative power consumption model are used to determine whether the battery meets the warranty requirements under actual environmental conditions. By combining the battery capacity model and the battery cumulative power consumption model, a reliable assessment of whether alkaline batteries meet the warranty requirements is achieved.

[0121] This invention also provides a battery warranty assessment device, which can execute the battery warranty assessment method provided in any embodiment of this invention, and has the corresponding functional modules and beneficial effects of the method. Figure 4 This is a schematic diagram of the structure of a battery warranty assessment device provided in an embodiment of the present invention; as shown below. Figure 4 As shown, the battery warranty assessment device includes:

[0122] The acquisition module 10 is used to acquire time-varying capacity data of different batteries under different environmental conditions;

[0123] The first determining module 20 is used to determine the battery capacity model based on the time-varying capacity data.

[0124] The second determining module 30 is used to determine the battery cumulative power consumption model; wherein, the battery cumulative power consumption model is a battery power consumption degradation model determined based on the actual power consumption conditions of the battery.

[0125] Evaluation module 40 is used to determine whether the battery meets the warranty requirements under actual environmental conditions within the warranty period, based on the battery capacity model and the battery cumulative power consumption model; specifically, evaluation module 40 includes:

[0126] During the warranty period, the battery capacity loss model is determined by integral processing of the battery cumulative power consumption model.

[0127] Determine the remaining battery capacity model based on the battery capacity model and the battery capacity loss model;

[0128] Determine whether the battery requires warranty coverage under actual conditions based on the battery remaining capacity model.

[0129] Optional, the first determined module is:

[0130] Different battery capacity sub-models are determined based on time-varying capacity data;

[0131] Distribution fitting is performed on the feature parameters in different battery capacity sub-models to determine the feature parameters of the battery capacity model.

[0132] Optionally, the second determining module includes:

[0133] The acquisition unit is used to acquire time-varying power consumption data of different batteries under different environmental conditions under different power consumption conditions;

[0134] The power consumption model unit is used to determine the battery power consumption model under different power consumption conditions based on the time-varying power consumption data.

[0135] The cumulative power consumption model unit is used to determine the battery cumulative power consumption model based on the actual power consumption operating condition model of the battery and the different battery power consumption models under different power consumption operating conditions.

[0136] Optional, power consumption model unit, specifically:

[0137] Based on the time-varying power consumption data, battery power consumption sub-models for different environmental conditions are determined; among them, the characteristic values ​​in the battery power consumption sub-models include the initial power consumption value, power consumption influence parameters, and degradation constant;

[0138] Based on each battery power consumption sub-model, determine the battery characteristic lifetime parameters and corresponding shape parameters for different environmental conditions;

[0139] Based on the temperature and humidity formula, the temperature and humidity model is determined according to the characteristic lifetime parameters of each battery under different environmental conditions.

[0140] Degradation impact parameters of battery power consumption model under specific power consumption conditions are determined based on temperature and humidity model.

[0141] The initial power consumption values ​​and degradation constants are averaged to determine the initial power consumption parameters and degradation constants of the battery power consumption model under specific power consumption conditions.

[0142] Optionally, based on each battery power consumption sub-model, determine the battery characteristic lifetime parameters and corresponding shape parameters for different environmental conditions, including:

[0143] The pseudo-lifetime of each battery under different environmental conditions is determined based on the power consumption sub-model and failure threshold of each battery under different environmental conditions.

[0144] The pseudo-lifetime distribution of each battery is fitted to determine the pseudo-lifetime distribution type;

[0145] Under different environmental conditions, the failure probabilities corresponding to the pseudo-lifetime of each battery are determined based on the failure probability model.

[0146] Under different environmental conditions, the characteristic lifetime parameters of the battery are determined based on the pseudo lifetime distribution type, the pseudo lifetime of each battery, and the failure probability.

[0147] Optionally, based on the actual power consumption model of the battery, the cumulative power consumption model of the battery is determined according to different battery power consumption models under different power consumption conditions, including:

[0148] Based on the actual power consumption model of the battery, the power consumption models of each battery are superimposed to output the cumulative power consumption model of the battery.

[0149] Optional, an evaluation module is used to integrate the battery cumulative power consumption model and output the battery capacity depletion model within the warranty period.

[0150] Output the remaining battery capacity model based on the battery capacity model and the battery capacity loss model;

[0151] During the warranty period, the remaining battery capacity under actual environmental conditions is assessed to determine whether the battery meets the warranty requirements.

[0152] This invention also provides a battery warranty assessment device. Figure 5This is a schematic diagram of a battery warranty assessment device provided in an embodiment of the present invention. The battery warranty assessment device is intended to represent various forms of digital computers, such as embedded computers, desktop computers, workbenches, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The battery warranty assessment device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (such as helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0153] like Figure 5 As shown, the battery warranty assessment device 011 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded from storage unit 18 into the RAM 13. The RAM 13 can also store various programs and data required for the operation of the battery warranty assessment device 011. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0154] Multiple components in the battery warranty assessment device 011 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, optical disk, etc.; and a communication unit 19, such as a network card, modem, wireless transceiver, etc. The communication unit 19 allows the battery warranty assessment device 011 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0155] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as a battery warranty assessment method.

[0156] In some embodiments, a battery warranty assessment method may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the battery warranty assessment device 011 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the battery warranty assessment method described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to perform a battery warranty assessment method by any other suitable means (e.g., by means of firmware).

[0157] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0158] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0159] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0160] To provide user interaction, the systems and techniques described herein can be implemented on a battery warranty assessment device, which includes: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the battery warranty assessment device. Other types of devices can also be used to provide user interaction; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0161] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or middleware components (e.g., application servers), or frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0162] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0163] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0164] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

[0165] Note that the above description is merely a preferred embodiment of the present invention and the technical principles employed. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and various obvious changes, readjustments, and substitutions can be made without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in detail through the above embodiments, the present invention is not limited to the above embodiments, and may include many other equivalent embodiments without departing from the concept of the present invention, the scope of which is determined by the scope of the appended claims.

Claims

1. A battery warranty assessment method, characterized in that, include: Acquire time-varying capacity data for different batteries under different environmental conditions; Determine the battery capacity model based on the time-varying capacity data; A battery cumulative power consumption model is determined during battery operation; wherein, the battery cumulative power consumption model is a battery power consumption degradation model determined based on the actual power consumption conditions of the battery. During the warranty period, the battery capacity model and the battery cumulative power consumption model are used to determine whether the battery meets the warranty requirements under actual environmental conditions. Within the warranty period, determining whether the battery meets the warranty requirements under actual environmental conditions based on the battery capacity model and the battery cumulative power consumption model includes: During the warranty period, the cumulative power consumption model of the battery is integrated to determine the battery capacity loss model; The remaining battery capacity model is determined based on the battery capacity model and the battery capacity loss model. The battery warranty requirement is determined based on the battery remaining capacity model under actual conditions.

2. The battery warranty assessment method according to claim 1, characterized in that, Determining the battery capacity model based on the time-varying capacity data includes: Different battery capacity sub-models are determined based on the time-varying capacity data. The characteristic parameters of the battery capacity model are determined by performing distribution fitting on the characteristic parameters in different battery capacity sub-models.

3. The battery warranty assessment method according to claim 1, characterized in that, Determine the battery cumulative power consumption model, including: Under different power consumption conditions, acquire time-varying power consumption data of different batteries under different environmental conditions; Based on the time-varying power consumption data, different battery power consumption models are determined for different power consumption conditions. Based on the actual power consumption model of the battery, the cumulative power consumption model of the battery is determined according to the different power consumption models of the battery under different power consumption conditions.

4. The battery warranty assessment method according to claim 3, characterized in that, Based on the time-varying power consumption data, different battery power consumption models are determined for different power consumption conditions, including: Based on the time-varying power consumption data, battery power consumption sub-models for different environmental conditions are determined; wherein, the feature values ​​in the battery power consumption sub-models include initial power consumption value, power consumption influence parameters, and degradation constant; Based on each of the battery power consumption sub-models, determine the battery characteristic lifetime parameters and corresponding shape parameters for different environmental conditions; Based on the temperature and humidity formula, the temperature and humidity model is determined according to the characteristic life parameters of each battery under different environmental conditions; Determine the degradation impact parameters of the battery power consumption model under specific power consumption conditions based on the temperature and humidity model. The initial power consumption values ​​and degradation constants are averaged to determine the initial power consumption parameters and degradation constants of the battery power consumption model under specific power consumption conditions.

5. The battery warranty assessment method according to claim 4, characterized in that, Based on the battery power consumption sub-models described above, the characteristic lifetime parameters and shape parameters of the battery under different environmental conditions are determined, including: The pseudo-life of each battery under different environmental conditions is determined based on the battery power consumption sub-model and failure threshold under different environmental conditions. The pseudo-lifetime distribution of each battery is fitted to determine the pseudo-lifetime distribution type; Under different environmental conditions, the failure probabilities corresponding to the pseudo-lifetime of each battery are determined based on the failure probability model. Under different environmental conditions, based on the pseudo-lifetime distribution type, the characteristic lifetime parameters of the battery are determined according to the pseudo-lifetime of each battery and the failure probability of each battery.

6. The battery warranty assessment method according to claim 3, characterized in that, Based on the actual power consumption model of the battery, the cumulative power consumption model of the battery is determined according to different power consumption models under different power consumption conditions, including: Based on the actual power consumption model of the battery, the power consumption models of each battery are superimposed to output the cumulative power consumption model of the battery.

7. The battery warranty assessment method according to claim 1, characterized in that, During the warranty period, based on the battery capacity model and the battery cumulative power consumption model, determine whether the battery meets the warranty requirements under actual environmental conditions, including: During the warranty period, the cumulative power consumption model of the battery is integrated to output the battery capacity loss model; Based on the battery capacity model and the battery capacity loss model, output the remaining battery capacity model; During the warranty period, the battery's remaining capacity under actual environmental conditions is assessed based on the battery's remaining capacity model under actual environmental conditions to determine whether the battery meets the warranty requirements.

8. A battery warranty assessment device, characterized in that, include: The acquisition module is used to acquire time-varying capacity data of different batteries under different environmental conditions; The first determining module is used to determine the battery capacity model based on the time-varying capacity data. The second determining module is used to determine the battery cumulative power consumption model; wherein, the battery cumulative power consumption model is a battery power consumption degradation model determined based on the actual power consumption conditions of the battery; The evaluation module is used to determine whether the battery meets the warranty requirements under actual environmental conditions within the warranty period, based on the battery capacity model and the battery cumulative power consumption model. Specifically, the evaluation module includes: During the warranty period, the cumulative power consumption model of the battery is integrated to determine the battery capacity loss model; The remaining battery capacity model is determined based on the battery capacity model and the battery capacity loss model. The battery warranty requirement is determined based on the battery remaining capacity model under actual conditions.

9. A battery warranty assessment device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the battery warranty assessment method as described in any one of claims 1-7.

10. A storage medium containing computer-executable instructions, characterized in that, The computer-executable instructions, when executed by a computer processor, are used to perform the battery warranty assessment method as described in any one of claims 1-7.

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