Retired battery health assessment method and device, electronic equipment and storage medium

Abstract

The invention relates to the field of battery recycling, and discloses a decommissioned battery health assessment method and device, electronic equipment and a computer readable storage medium. The decommissioned battery health assessment method comprises the steps that current battery parameters and historical use data of a plurality of decommissioned batteries are acquired, the historical use data comprise historical working environment data and / or historical charging and discharging data, and the plurality of decommissioned batteries are divided into a plurality of decommissioned battery packs based on the historical use data; for any retired battery pack, standard battery parameters corresponding to the retired battery pack are determined based on the historical use data; and comparing the current battery parameter and the standard battery parameter of each decommissioned battery, and determining the health state of each decommissioned battery. According to the decommissioned battery health assessment method and device, the electronic equipment and the computer readable storage medium provided by the invention, the technical purpose of improving the accuracy of a decommissioned battery health assessment result can be achieved.

Description

Technical Field

[0001] This application relates to the field of battery recycling, specifically to a method and apparatus for health assessment of retired batteries, electronic equipment, and computer-readable storage medium. Background Technology

[0002] With the explosive growth of the new energy vehicle industry, power batteries are facing a large-scale retirement wave. According to industry data, the amount of retired power batteries in my country will exceed 10 million tons by 2025. Improper handling not only wastes resources but also poses safety hazards such as heavy metal pollution and thermal runaway. Health status assessment of retired batteries is a core prerequisite for achieving tiered utilization and resource recycling, and its technological development directly determines the maximization of the value and the level of safety management of retired batteries. Currently, retired battery health assessment technologies are mainly divided into offline and online categories. Offline assessment focuses on laboratory testing, including full charge-discharge methods and internal resistance testing. Online assessment technologies rely on real-time data from the battery management system and use algorithmic models to assess the health of retired batteries, such as Kalman filtering based on equivalent circuit models and data-driven machine learning methods.

[0003] Both offline and online methods utilize battery parameter-based health assessment solutions that employ multi-dimensional core battery parameters to achieve efficient and accurate health assessments of retired batteries. The battery parameters selected for the solution include: voltage (terminal voltage, open-circuit voltage), current (charge / discharge current curves), internal resistance (DC internal resistance / AC impedance), temperature response, and cycle life data. These parameters are directly related to aging mechanisms such as battery active material loss and electrolyte degradation.

[0004] However, during battery production and application, some hidden damage occurs that is difficult to characterize using conventional battery parameters. These include microstructural breakdown of electrode materials, latent failures in the electrolyte system, and localized failures at interface contacts. While these hidden damages cannot be effectively captured by conventional battery parameters, they continuously erode the battery's actual performance, cycle life, and safety stability. The existence of these hidden damages reduces the accuracy of current health assessments of retired batteries based on battery parameters. Summary of the Invention

[0005] In view of this, it is necessary to provide a method and apparatus for health assessment of retired batteries, an electronic device and a computer-readable storage medium, in order to achieve the technical objective of improving the accuracy of health assessment results of retired batteries.

[0006] To achieve the aforementioned technical objectives, in a first aspect, this application provides a method for assessing the health of decommissioned batteries, comprising: Obtain the current battery parameters and historical usage data of multiple retired batteries. The historical usage data includes historical working environment data and / or historical charge and discharge data. Based on the historical usage data, divide the multiple retired batteries into several retired battery groups. For any of the retired battery packs, standard battery parameters corresponding to the retired battery packs are determined based on the historical usage data. The health status of each retired battery is determined by comparing its current battery parameters with the standard battery parameters.

[0007] In one possible embodiment of this application, determining the standard battery parameters corresponding to the retired battery pack based on the historical usage data includes: A correspondence between sample battery usage data and sample standard battery parameters is constructed based on sample battery data from multiple sample batteries. The sample battery data includes sample battery parameters, sample battery scrapping years, and sample battery usage data. Obtain the sample battery usage data that is the same as the historical usage data in the correspondence relationship as the target battery usage data, and use the sample standard battery parameters corresponding to the target battery usage data as the standard battery parameters.

[0008] In one possible embodiment of this application, the construction of the correspondence between sample battery usage data and sample standard battery parameters based on sample battery data from multiple sample batteries includes: For any of the sample batteries, the sample battery parameters of the sample battery before the scrapping of the sample battery are obtained according to the scrapping age of the sample battery and are used as the sample standard battery parameters corresponding to the sample battery. Based on the sample standard battery parameters corresponding to all the sample batteries, a correspondence between the sample standard battery parameters and the sample battery usage data is constructed.

[0009] In one possible embodiment of this application, before constructing the correspondence between the sample standard battery parameters and the sample battery usage data based on the sample standard battery parameters corresponding to all the sample batteries, the method further includes: Based on the standard battery parameters and the set screening parameters, unqualified sample batteries are removed from the multiple sample batteries. The set screening parameters are the basic safety parameters of the batteries.

[0010] In one possible embodiment of this application, the step of dividing the plurality of retired batteries into several retired battery packs based on the historical usage data includes: Obtain the battery type of each of the retired batteries; For any of the retired batteries, set data weights for each of the historical usage data based on the battery type; The retired batteries are divided into several retired battery groups by combining the data weights and the historical usage data.

[0011] In one possible embodiment of this application, before dividing the plurality of retired batteries into several retired battery packs based on the historical usage data, the method further includes: Based on the current battery parameters and the set screening parameters, unqualified retired batteries are removed from the multiple retired batteries. The set screening parameters are the basic safety parameters of the battery.

[0012] In one possible embodiment of this application, the historical usage data includes the historical operating environment data, which includes the vehicle type of the vehicle corresponding to the retired battery and the operating environment temperature of the retired battery. Dividing the plurality of retired batteries into several retired battery packs based on the historical usage data includes: The retired batteries are divided into several retired battery packs based on the vehicle type and the ambient temperature.

[0013] Secondly, this application provides a health assessment device for retired batteries, comprising: The data acquisition module is used to acquire the current battery parameters and historical usage data of multiple retired batteries. The historical usage data includes historical working environment data and / or historical charge and discharge data. Based on the historical usage data, the multiple retired batteries are divided into several retired battery groups. The standard determination module, for any of the retired battery packs, is used to determine the standard battery parameters corresponding to the retired battery pack based on the historical usage data. A health assessment module is used to compare the current battery parameters of each retired battery with the standard battery parameters to determine the health status of each retired battery.

[0014] Thirdly, this application also provides an electronic device, including a memory and a processor, wherein, The memory is used to store programs; The processor, coupled to the memory, is used to execute the program stored in the memory to implement the steps in the decommissioned battery health assessment method described in any of the above implementations.

[0015] Fourthly, this application also provides a computer-readable storage medium for storing a computer-readable program or instructions, which, when executed by a processor, can implement the steps in the retired battery health assessment method described in any of the above implementations.

[0016] The beneficial effects of this application are: Compared with related technologies, the retired battery health assessment method, apparatus, electronic device, and computer-readable storage medium provided in this application group retired batteries according to their historical usage data, then determine the corresponding standard battery parameters for each retired battery group based on the historical usage data, and finally compare the current battery parameters of the retired batteries with the standard battery parameters to determine the health status of each retired battery. By combining the historical usage data of the retired batteries to determine the standard battery parameters and setting corresponding standard battery parameters for different usage scenarios, the impact of dark damage on the accuracy of retired battery health assessment results can be reduced, thereby achieving the technical objective of improving the accuracy of retired battery health assessment results. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of this application, 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 this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a flowchart illustrating a method for assessing the health of decommissioned batteries according to one embodiment of this application. Figure 2 This is a schematic diagram of the structure of a retired battery health assessment device provided in one embodiment of this application; Figure 3 This is a schematic diagram of the structure of an electronic device provided in one embodiment of this application. Detailed Implementation

[0019] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0020] In the description of the embodiments of this application, unless otherwise stated, "multiple" means two or more. "And / or" describes the relationship between related objects, indicating that there can be three relationships. For example, A and / or B can represent three situations: A exists alone, A and B exist simultaneously, and B exists alone.

[0021] The terms "first," "second," etc., used in the embodiments of this application are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, a technical feature defined with "first" or "second" may explicitly or implicitly include at least one of those features.

[0022] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0023] This application provides a method for assessing the health of decommissioned batteries, a device for assessing the health of decommissioned batteries, an electronic device, and a computer-readable storage medium, which are described below.

[0024] Please refer to Figure 1 This application provides a method for assessing the health of decommissioned batteries, which may specifically include the following steps: Step S101: Obtain the current battery parameters and historical usage data of multiple retired batteries, and divide the multiple retired batteries into several retired battery groups based on the historical usage data.

[0025] In this step, historical usage data includes historical operating environment data and / or historical charge / discharge data. Specifically, historical operating environment data may include the vehicle type corresponding to the retired battery, the operating ambient temperature of the retired battery, and the road conditions on which the vehicle was driven.

[0026] In the embodiments of this application, vehicle types can be specifically classified according to vehicle model, such as sedans, SUVs, and MPVs. Sedans and MPVs are primarily used on flat paved roads such as urban roads and highways. SUVs, on the other hand, are used on both paved and lightly unpaved roads, such as gravel roads, potholes, and muddy roads. Because different vehicle types (sedans, SUVs, MPVs) have different application scenarios, the corresponding road conditions will have different impacts on the battery, resulting in different levels of hidden damage within the battery.

[0027] Alternatively, in some other embodiments of this application, vehicle types can be classified according to the vehicle's functional scenarios, such as classifying vehicles into private vehicles, commercial vehicles (e.g., taxis, buses), and industrial vehicles (e.g., mining vehicles). For vehicles with different functional scenarios, there are significant differences in their usage scenarios and frequencies, resulting in different impacts on the battery and varying degrees of dark damage within it.

[0028] In the embodiments of this application, the operating ambient temperature of the retired battery can specifically be the average temperature of the historical driving area of ​​the vehicle corresponding to the retired battery. For example, if the vehicle corresponding to the retired battery travels more in high-latitude regions, its operating ambient temperature can be determined to be stable at a lower temperature. If the vehicle corresponding to the retired battery travels more in low-latitude regions, its operating ambient temperature can be determined to be stable at a higher temperature. For vehicles that frequently travel between high-latitude and low-latitude regions, the fluctuation of their operating ambient temperature is more obvious.

[0029] Based on the above specific explanation, in this step, dividing multiple retired batteries into several retired battery packs based on historical usage data specifically means classifying vehicles with the same historical operating environment data and / or the same historical charge and discharge data into the same retired battery pack.

[0030] Furthermore, in some embodiments of this application, the battery type of each retired battery can also be obtained; for any retired battery, a data weight for each historical usage data is set based on the battery type; and multiple retired batteries are divided into several retired battery groups by combining the data weight and the historical usage data.

[0031] The impact of external environment and charging / discharging processes varies for different types of batteries. For example, lithium iron phosphate batteries have a stable structure and can better adapt to different external environments. Therefore, the data weight corresponding to their historical operating environment data can be set relatively small for lithium iron phosphate batteries. However, during fast charging, the hard carbon / graphite layers of the negative electrode are prone to expansion, which can lead to electrode cracking after long-term cycling. Therefore, the charging / discharging process has a greater impact on them, and the data weight corresponding to their historical operating environment data can be set relatively large.

[0032] Furthermore, in this embodiment, all retired batteries are first preliminarily screened based on current battery parameters. Based on set screening parameters, unqualified retired batteries are eliminated. These screening parameters are set as the battery's basic safety parameters. By setting the screening parameters using basic safety parameters, the screening criteria are set relatively low. Retired batteries that do not meet these low criteria are directly eliminated, which can reduce the impact of extremely damaged retired batteries on the accuracy of the subsequent overall retired battery health assessment structure.

[0033] Step S102: For any retired battery pack, determine the standard battery parameters corresponding to the retired battery pack based on historical usage data.

[0034] In this step, a correspondence is established between sample battery usage data and sample standard battery parameters based on sample battery data from multiple sample batteries. The sample battery data includes sample battery parameters, sample battery lifespan, and sample battery usage data. The sample battery usage data that matches the historical usage data in the correspondence is selected as the target battery usage data, and the sample standard battery parameters corresponding to the target battery usage data are used as the standard battery parameters.

[0035] Specifically, the process of constructing the correspondence between sample battery usage data and sample standard battery parameters based on sample battery data from multiple sample batteries involves: obtaining the sample battery parameters for a set number of years before the sample battery is scrapped, based on the sample battery's lifespan, as the corresponding sample standard battery parameters; and constructing the correspondence between sample standard battery parameters and sample battery usage data based on the sample standard battery parameters corresponding to all sample batteries. For example, for any sample battery with a lifespan of 1 year (i.e., the sample battery's entire lifespan), the sample battery parameters for the 10 years before the sample battery is completely scrapped can be used as the corresponding sample standard battery parameters. Based on this implementation method, the sample standard battery parameters corresponding to each sample battery are determined.

[0036] Furthermore, in this embodiment, the sample batteries can also be classified according to the usage data of the sample batteries. The specific classification process is basically the same as the classification method of the retired battery packs mentioned above. For details, please refer to the above description.

[0037] Furthermore, before constructing the correspondence between the standard battery parameters and the usage data of the sample batteries based on the standard battery parameters corresponding to all sample batteries, this embodiment can pre-select and eliminate unqualified sample batteries from multiple sample batteries according to the standard battery parameters of each sample battery and the set screening parameters. The set screening parameters are the basic safety parameters of the batteries, which are the basic parameters that allow the sample batteries to operate safely. Sample batteries exceeding the basic safety parameters have lower safety. In this embodiment, eliminating unqualified sample batteries from multiple sample batteries according to the standard battery parameters of each sample battery and the set screening parameters can improve the reliability of the standard battery parameters.

[0038] Step S103: Compare the current battery parameters and standard battery parameters of each retired battery to determine the health status of each retired battery.

[0039] In this step, retired batteries whose current battery parameters do not exceed the standard battery parameters are specifically classified as healthy batteries, while retired batteries whose current battery parameters exceed the standard battery parameters are classified as unhealthy batteries.

[0040] Furthermore, in some embodiments of this application, the health status of retired batteries can be graded based on the difference between current battery parameters and standard battery parameters, thereby achieving a graded assessment of the health status of retired batteries.

[0041] Compared with related technologies, the retired battery health assessment method provided in this embodiment groups retired batteries according to their historical usage data, then determines corresponding standard battery parameters for each retired battery group based on the historical usage data, and finally compares the current battery parameters of the retired batteries with the standard battery parameters to determine the health status of each retired battery. By combining the historical usage data of the retired batteries to determine the standard battery parameters and setting corresponding standard battery parameters for different usage scenarios, the impact of dark damage on the accuracy of retired battery health assessment results can be reduced, thereby achieving the technical objective of improving the accuracy of retired battery health assessment results.

[0042] To better implement the retired battery health assessment method in the embodiments of this application, based on the retired battery health assessment method, correspondingly, such as Figure 2 As shown in the illustration, this application also provides a retired battery health assessment device, which includes: The data acquisition module 201 is used to acquire the current battery parameters and historical usage data of multiple retired batteries. The historical usage data includes historical working environment data and / or historical charge and discharge data. Based on the historical usage data, the multiple retired batteries are divided into several retired battery packs. Standard determination module 202, for any retired battery pack, is used to determine the standard battery parameters corresponding to the retired battery pack based on historical usage data; The health assessment module 203 is used to compare the current battery parameters and standard battery parameters of each retired battery to determine the health status of each retired battery.

[0043] The retired battery health assessment device provided in the above embodiments can realize the technical solutions described in the above retired battery health assessment method embodiments. The specific implementation principles of each module or unit can be found in the corresponding content in the above retired battery health assessment method embodiments, which will not be repeated here.

[0044] Please refer to Figure 3 This application also provides an electronic device 300. The electronic device 300 includes a processor 301, a memory 302, and a display 302. Figure 3Only some components of the electronic device 300 are shown, but it should be understood that it is not required to implement all of the components shown, and more or fewer components may be implemented instead.

[0045] In some embodiments, processor 301 may be a central processing unit (CPU), microprocessor, or other data processing chip, used to run program code stored in memory 302 or process data, such as the retired battery health assessment method in this application.

[0046] In some embodiments, processor 301 may be a single server or a group of servers. The server group may be centralized or distributed. In some embodiments, processor 301 may be local or remote. In some embodiments, processor 301 may be implemented on a cloud platform. In one embodiment, the cloud platform may include a private cloud, public cloud, hybrid cloud, community cloud, distributed cloud, intranet, multi-cloud, etc., or any combination thereof.

[0047] In some embodiments, memory 302 may be an internal storage unit of electronic device 300, such as a hard disk or memory of electronic device 300. In other embodiments, memory 302 may also be an external storage device of electronic device 300, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc. equipped on electronic device 300.

[0048] Furthermore, the memory 302 may include both internal storage units of the electronic device 300 and external storage devices. The memory 302 is used to store application software and various types of data installed on the electronic device 300.

[0049] In some embodiments, display 302 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, or an OLED (Organic Light-Emitting Diode) touchscreen. Display 302 is used to display information from electronic device 300 and to display a visual user interface. Components 301-302 of electronic device 300 communicate with each other via a system bus.

[0050] In one embodiment, when processor 301 executes the retired battery health assessment program in memory 302, the following steps can be implemented: Obtain the current battery parameters and historical usage data of multiple retired batteries. The historical usage data includes historical operating environment data and / or historical charge and discharge data. Based on the historical usage data, the multiple retired batteries are divided into several retired battery packs. For any retired battery pack, the standard battery parameters corresponding to the retired battery pack are determined based on historical usage data. By comparing the current battery parameters of each retired battery with the standard battery parameters, the health status of each retired battery can be determined.

[0051] It should be understood that when the processor 301 executes the retired battery health assessment program in the memory 302, in addition to the functions mentioned above, it can also perform other functions, as detailed in the description of the corresponding method embodiments above.

[0052] Furthermore, this application does not specifically limit the type of electronic device 300 mentioned in the embodiments. Electronic device 300 can be a mobile phone, tablet computer, personal digital assistant (PDA), wearable device, laptop computer, or other portable electronic device. Exemplary embodiments of portable electronic devices include, but are not limited to, portable electronic devices running iOS, Android, Microsoft, or other operating systems. The aforementioned portable electronic device can also be other portable electronic devices, such as a laptop computer with a touch-sensitive surface (e.g., a touch panel). It should also be understood that in some other embodiments of this application, electronic device 300 may not be a portable electronic device, but rather a desktop computer with a touch-sensitive surface (e.g., a touch panel).

[0053] Accordingly, this application also provides a computer-readable storage medium for storing a computer-readable program or instruction. When the program or instruction is executed by a processor, it can implement the steps or functions of the retired battery health assessment method provided in the above-described method embodiments.

[0054] Those skilled in the art will understand that all or part of the processes of the methods described in the above embodiments can be implemented by a computer program instructing related hardware (such as a processor, controller, etc.), and the computer program can be stored in a computer-readable storage medium. The computer-readable storage medium may be a disk, optical disk, read-only memory, or random access memory, etc.

[0055] The above provides a detailed description of the retired battery health assessment method, apparatus, electronic device, and storage medium provided in this application. Specific examples have been used to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of this application. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this application. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A method for assessing the health of retired batteries, characterized in that, include: Obtain the current battery parameters and historical usage data of multiple retired batteries. The historical usage data includes historical working environment data and / or historical charge and discharge data. Based on the historical usage data, divide the multiple retired batteries into several retired battery groups. For any of the retired battery packs, standard battery parameters corresponding to the retired battery packs are determined based on the historical usage data. The health status of each retired battery is determined by comparing its current battery parameters with the standard battery parameters.

2. The method for assessing the health of decommissioned batteries according to claim 1, characterized in that, The determination of standard battery parameters corresponding to the retired battery pack based on the historical usage data includes: A correspondence between sample battery usage data and sample standard battery parameters is constructed based on sample battery data from multiple sample batteries. The sample battery data includes sample battery parameters, sample battery scrapping years, and sample battery usage data. Obtain the sample battery usage data that is the same as the historical usage data in the correspondence relationship as the target battery usage data, and use the sample standard battery parameters corresponding to the target battery usage data as the standard battery parameters.

3. The method for assessing the health of decommissioned batteries according to claim 2, characterized in that, The construction of the correspondence between sample battery usage data and sample standard battery parameters based on sample battery data from multiple sample batteries includes: For any of the sample batteries, the sample battery parameters of the sample battery before the scrapping of the sample battery are obtained according to the scrapping age of the sample battery and are used as the sample standard battery parameters corresponding to the sample battery. Based on the sample standard battery parameters corresponding to all the sample batteries, a correspondence between the sample standard battery parameters and the sample battery usage data is constructed.

4. The method for assessing the health of decommissioned batteries according to claim 3, characterized in that, Before constructing the correspondence between the sample standard battery parameters and the sample battery usage data based on the sample standard battery parameters corresponding to all the sample batteries, the method further includes: Based on the standard battery parameters and the set screening parameters, unqualified sample batteries are removed from the multiple sample batteries. The set screening parameters are the basic safety parameters of the batteries.

5. The method for assessing the health of decommissioned batteries according to claim 1, characterized in that, The process of dividing the multiple retired batteries into several retired battery packs based on the historical usage data includes: Obtain the battery type of each of the retired batteries; For any of the retired batteries, set data weights for each of the historical usage data based on the battery type; The retired batteries are divided into several retired battery groups by combining the data weights and the historical usage data.

6. The method for assessing the health of decommissioned batteries according to claim 1, characterized in that, Before dividing the multiple retired batteries into several retired battery packs based on the historical usage data, the method further includes: Based on the current battery parameters and the set screening parameters, unqualified retired batteries are removed from the multiple retired batteries. The set screening parameters are the basic safety parameters of the battery.

7. The method for assessing the health of decommissioned batteries according to claim 1, characterized in that, The historical usage data includes the historical operating environment data, which includes the vehicle type of the vehicle corresponding to the retired battery and the operating temperature of the retired battery. Dividing the multiple retired batteries into several retired battery packs based on the historical usage data includes: The retired batteries are divided into several retired battery packs based on the vehicle type and the ambient temperature.

8. A health assessment device for retired batteries, characterized in that, include: The data acquisition module is used to acquire the current battery parameters and historical usage data of multiple retired batteries. The historical usage data includes historical working environment data and / or historical charge and discharge data. Based on the historical usage data, the multiple retired batteries are divided into several retired battery groups. The standard determination module, for any of the retired battery packs, is used to determine the standard battery parameters corresponding to the retired battery pack based on the historical usage data. A health assessment module is used to compare the current battery parameters of each retired battery with the standard battery parameters to determine the health status of each retired battery.

9. An electronic device, characterized in that, Including memory and processor, among which, The memory is used to store programs; The processor, coupled to the memory, is used to execute the program stored in the memory to implement the steps in the retired battery health assessment method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, Used to store computer-readable programs or instructions, which, when executed by a processor, can perform the steps in the retired battery health assessment method according to any one of claims 1 to 7.

Images