Capacity detection system and method for charging and discharging integrated machine, charging and discharging integrated machine, medium, program product and terminal

Abstract

This application provides a capacity testing system, method, integrated charge / discharge machine, dielectric, program product, and terminal. The capacity testing in this application is performed synchronously with the charge / discharge process, eliminating the need for separate testing. Furthermore, it employs an embedded modular design, enabling online capacity testing without external equipment. The capacity testing method uses the traditional two-point method capacity calculation result as the initial capacity observation value, and then dynamically corrects the initial capacity observation value through aging state transition and stress mapping, resulting in significantly higher capacity testing accuracy than the traditional two-point method. The capacity testing system of this application is applicable to different cell types, overall pack designs, and thermal management strategies. This application obtains highly accurate battery effective capacity and estimated state of equilibrium (SOH), which can be used for subsequent battery operating status assessment, life analysis, and user display. It can also provide a basis for equipment operation strategy optimization or maintenance decisions, and is continuously iterated and updated during subsequent operation.

Description

Technical Field

[0001] This application relates to the field of battery capacity testing technology, and in particular to a capacity testing system, method, integrated charge-discharge machine, medium, program product and terminal. Background Technology

[0002] Currently, most existing integrated charge / discharge systems or battery capacity estimation methods are based on two-point methods or static models, but they suffer from the following drawbacks: low capacity detection accuracy; insufficient consideration of the dynamic impact of vehicle charging / discharging fluctuations, battery temperature changes, and the operating status of the thermal management system; and ineffective modeling of the cumulative effects of cell aging and inter-cell differences, leading to deviations from the true capacity estimation results. While neural network methods are accurate in capacity estimation, they are computationally complex and require sophisticated equipment, making them difficult to implement. Existing capacity detection methods often rely on independent testing procedures or external equipment, failing to provide high-precision capacity estimation in real time during normal charging and discharging processes.

[0003] Therefore, there is an urgent need for a method and system that can detect battery capacity in real time and dynamically during the charging and discharging process, so as to improve the accuracy of capacity detection and the feasibility of equipment engineering. Summary of the Invention

[0004] In view of the shortcomings of the prior art, the present invention provides a capacity detection system, method, integrated charge-discharge machine, medium, program product and terminal for an integrated charge-discharge machine, which solves the problems of the prior art being unable to perform capacity detection during the charging and discharging process and having low capacity detection accuracy.

[0005] To achieve the above and other related objectives, a first aspect of this application provides a capacity detection system for a charge-discharge integrated machine, comprising: a data acquisition module for real-time acquisition of battery operating parameters and thermal management system operating parameters of the battery under test during the charge-discharge process; wherein the thermal management system operating parameters include: coolant inlet temperature, coolant outlet temperature, and total power of the thermal management system; and a capacity observation and correction module for calculating the initial capacity observation value of the battery under test based on the real-time acquired battery operating parameters and thermal management system operating parameters, using a capacity observation model, and correcting the initial capacity observation value using an equivalent stress correction model and an aging state transition model to obtain the effective battery capacity of the battery under test.

[0006] In some embodiments of the first aspect of this application, the initial capacity observation value is corrected using an equivalent stress correction model and an aging state transition model to obtain the effective capacity of the battery under test. The specific process includes: calculating the capacity deviation correction value and the capacity decay value based on the equivalent stress correction model and the aging state transition model, respectively, according to the real-time collected battery operating parameters and thermal management system operating parameters; correcting the initial capacity observation value according to the capacity deviation correction value and the capacity decay value to obtain the effective capacity of the battery under test.

[0007] In some embodiments of the first aspect of this application, the equivalent stress correction model is constructed as follows: the total stress of the battery under test during the charging and discharging process is calculated based on the battery operating parameters and the thermal management system operating parameters; the stress capacity correction coefficient is determined; and based on the stress capacity correction coefficient, the total stress, and the rated capacity of the battery under test, an equivalent stress correction model for calculating the capacity deviation correction value is constructed.

[0008] In some embodiments of the first aspect of this application, the aging state transition model is as follows: ; ; ;in, This is the capacity decay value. For the equivalent number of cycles, The activation energy is given by R, where R is the ideal gas constant. This is the proportionality coefficient. The nonlinear exponent for aging is T, where T is the battery equivalent temperature. Temperature is coupled for thermal management calculation. For battery temperature, Temperature weighting coefficient; This refers to the coolant inlet temperature. This refers to the coolant outlet temperature. The total power of the thermal management system, For equivalent heat capacity, This represents the thermal management coupling coefficient.

[0009] In some embodiments of the first aspect of this application, the initial capacity observation value is corrected according to the capacity deviation correction value and the capacity decay value, and the formula for calculating the effective capacity of the battery under test is as follows: ;in, For the effective capacity of the battery, These are the initial capacity observations. This is the capacity deviation correction value. This represents the capacity decay value.

[0010] To achieve the above and other related objectives, a second aspect of this application provides a charging integrated machine, including a capacity detection system for the charging and discharging integrated machine. The charging and discharging integrated machine further includes: a charging and discharging control module for controlling the battery under test to perform charging or discharging operations; and a human-machine interaction module for displaying the effective battery capacity of the battery under test in real time and setting capacity detection parameters.

[0011] To achieve the above and other related objectives, a third aspect of this application provides a capacity detection method for a charge-discharge integrated machine, comprising: real-time acquisition of battery operating parameters and thermal management system operating parameters of the battery under test during the charging and discharging process; wherein, the thermal management system operating parameters include: coolant inlet temperature, coolant outlet temperature, and total power of the thermal management system; based on the real-time acquired battery operating parameters and thermal management system operating parameters, calculating the initial capacity observation value of the battery under test based on a capacity observation model, and correcting the initial capacity observation value using an equivalent stress correction model and an aging state transition model to obtain the effective battery capacity of the battery under test.

[0012] To achieve the above and other related objectives, a fourth aspect of this application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the capacity detection method of the charging and discharging integrated machine.

[0013] To achieve the above and other related objectives, a fifth aspect of this application provides a computer program product, which includes computer program code that, when executed on a computer, enables the computer to implement the capacity detection method of the charging and discharging integrated machine.

[0014] To achieve the above and other related objectives, a sixth aspect of this application provides an electronic terminal, including a memory, a processor, and a computer program stored in the memory; the processor executes the computer program to implement the capacity detection method of the charging and discharging integrated machine.

[0015] As described above, the capacity detection system, method, integrated charge / discharge machine, medium, program product, and terminal provided in this application have the following beneficial effects:

[0016] (1) The capacity testing and charging / discharging process of this application are carried out simultaneously, without the need for separate testing, and the embedded modular design allows for online capacity testing without the need for external equipment.

[0017] (2) The capacity detection method of this application takes into account the thermal management system, battery temperature, rate and aging state. The capacity calculation result of the traditional two-point method is used as the initial capacity observation value. Then, the initial capacity observation value is dynamically corrected through aging state transfer and stress mapping. The capacity detection accuracy is significantly better than that of the traditional two-point method.

[0018] (3) The capacity detection system of this application is applicable to different cell types, package designs and thermal management strategies.

[0019] (4) This application obtains highly accurate battery effective capacity and estimated SOH, which can be used for subsequent battery operating status assessment, life analysis and user display, and can provide a basis for equipment operation strategy optimization or maintenance decision-making, while continuously iterating and updating in subsequent operation. Attached Figure Description

[0020] Figure 1 The diagram shown is a structural schematic of a capacity detection system for a charge-discharge integrated machine according to an embodiment of this application.

[0021] Figure 2 The diagram shown is a structural schematic of a charging and discharging integrated machine according to an embodiment of this application.

[0022] Figure 3 The figure shown is a specific embodiment of the capacity detection process of a charge-discharge integrated machine according to an embodiment of this application.

[0023] Figure 4 The diagram shown is a flowchart illustrating a capacity detection method for a charge-discharge integrated machine according to an embodiment of this application.

[0024] Figure 5 The diagram shown is a structural schematic of an electronic terminal according to an embodiment of this application. Detailed Implementation

[0025] The following specific examples illustrate the implementation of this application. Those skilled in the art can easily understand other advantages and effects of this application from the content disclosed in this specification. This application can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of this application. It should be noted that, unless otherwise specified, the following embodiments and features in the embodiments can be combined with each other.

[0026] In the embodiments of this application, the terms "first" and "second" are used to distinguish identical or similar items with essentially the same function and effect. Those skilled in the art will understand that the terms "first" and "second" do not limit the quantity or execution order, and that the terms "first" and "second" do not necessarily imply that they are different.

[0027] It should be noted that, in the embodiments of this application, the words "exemplary" or "for example" indicate examples, illustrations, or descriptions. Any embodiment or design described as "exemplary" or "for example" in this application should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present the relevant concepts in a concrete manner.

[0028] In this application embodiment, "at least one" refers to one or more, and "more than one" refers to two or more. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, or B alone, where A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, or c can represent: a, b, c, ab, ac, bc, or abc, where a, b, and c can be single or multiple.

[0029] Before providing a further detailed description of the present invention, the nouns and terms used in the embodiments of the present invention are explained, and the nouns and terms used in the embodiments of the present invention are subject to the following interpretations:

[0030] <1> Battery State of Health (SOH) data is a core indicator for measuring the degree of battery degradation and remaining lifespan. Its accurate assessment directly affects the operational safety of new energy equipment, range prediction, and the formulation of operation and maintenance strategies.

[0031] <2> Depth of discharge (DOD): This represents the percentage of a battery's discharged capacity relative to its rated capacity.

[0032] To facilitate understanding of the embodiments of this application, firstly, in conjunction with Figure 1 Detailed explanation. Figure 1 A schematic diagram of the capacity detection system of a charge-discharge integrated machine according to an embodiment of the present invention is shown. The capacity detection system of the charge-discharge integrated machine in this embodiment mainly includes: a data acquisition module 110 and a capacity observation and correction module 120, wherein the data acquisition module 110 and the capacity observation and correction module 120 are connected.

[0033] The data acquisition module 110 is used to collect the battery operating parameters and thermal management system operating parameters of the battery under test in real time during the charging and discharging process; wherein, the battery operating parameters include: voltage, current, battery temperature, and battery SOC data; the thermal management system operating parameters include: coolant inlet temperature, coolant outlet temperature, and total power of the thermal management system.

[0034] It should be noted that during capacity testing at the charging and discharging points, it is necessary to record the battery operating parameters and thermal management system operating parameters in real time, and simultaneously obtain basic information such as the rated capacity and rated charge of the battery under test. Battery operating parameters include, but are not limited to, voltage, current, battery temperature, and battery SOC data. The thermal management system operating parameters include, but are not limited to, coolant inlet temperature, coolant outlet temperature, and total power of the thermal management system.

[0035] The capacity observation and correction module 120 is used to calculate the initial capacity observation value of the battery under test based on the real-time collected battery operating parameters and thermal management system operating parameters, and to correct the initial capacity observation value using an equivalent stress correction model and an aging state transition model to obtain the effective capacity of the battery under test.

[0036] Specifically, the formula for the capacity observation model is:

[0037] ;(Formula 1)

[0038] in, These are the initial capacity observations. For the total current, for SOC at any moment for SOC at any given moment.

[0039] When the battery under test is a lithium iron phosphate battery, the and The following conditions must be met:

[0040] ;(Formula 2)

[0041] Different batteries and The conditions to be met vary and should be set according to actual needs.

[0042] Based on the real-time battery operating parameters and thermal management system operating parameters collected during the charging and discharging process of the battery under test, the initial capacity observation value of the battery under test is calculated based on the above capacity observation model. .

[0043] Furthermore, the initial capacity observation value is corrected using an equivalent stress correction model and an aging state transition model. The specific process includes: calculating the capacity deviation correction value and capacity decay value based on the real-time collected battery operating parameters and thermal management system operating parameters, respectively, using the equivalent stress correction model and the aging state transition model; and correcting the initial capacity observation value based on the capacity deviation correction value and capacity decay value to obtain the effective battery capacity of the battery under test.

[0044] In one embodiment of this application, the equivalent stress correction model is constructed as follows: the total stress of the battery under test during the charging and discharging process is calculated based on the battery operating parameters and the thermal management system operating parameters; the stress capacity correction coefficient is determined; and based on the stress capacity correction coefficient, the total stress, and the rated capacity of the battery under test, an equivalent stress correction model for calculating the capacity deviation correction value is constructed.

[0045] Specifically, the equivalent stress correction model is as follows:

[0046] ;(Formula 3)

[0047] ;(Formula 4)

[0048] ;(Formula 5)

[0049] in, This is the capacity deviation correction value. For rated capacity, This is the stress capacity correction factor. The total stress; For temperature stress, For the stress ratio, For SOC interval stress, For DOD stress, This is the stress weighting coefficient; This is the battery's equivalent temperature. For reference temperature, Temperature sensitivity coefficient; The charge / discharge rate of the battery is α, where α is the rate sensitivity coefficient. This is the average value of the battery SOC data. For reference SOC, SOC sensitivity coefficient; Depth of battery discharge, This represents the DOD sensitivity coefficient.

[0050] In one embodiment of this application, the aging state transition model is:

[0051] ;(Formula 6)

[0052] ;(Formula 7)

[0053] ;(Formula 8)

[0054] in, This is the capacity decay value. For the equivalent number of cycles, The activation energy is given by R, where R is the ideal gas constant. This is the proportionality coefficient. The nonlinear exponent for aging is T, where T is the battery equivalent temperature. Temperature is coupled for thermal management calculation. For battery temperature, Temperature weighting coefficient; This refers to the coolant inlet temperature. This refers to the coolant outlet temperature. The total power of the thermal management system, For equivalent heat capacity, This represents the thermal management coupling coefficient.

[0055] It should be explained that battery aging is not only related to the number of cycles, but is actually affected by many factors such as temperature, current, and the state of the thermal management system. This embodiment introduces an aging state transition model, which uses operating data such as thermal management system parameters and battery temperature to quantify the cumulative aging of the cells during the charging and discharging process, more realistically reflecting the actual aging rate and degree of the battery, and further compensating for the capacity decay caused by battery aging during charging and discharging.

[0056] In one embodiment of this application, the initial capacity observation value is corrected based on the capacity deviation correction value and the capacity decay value, and the formula for calculating the effective capacity of the battery under test is as follows:

[0057] ;(Formula 9)

[0058] in, For the effective capacity of the battery, These are the initial capacity observations. This is the capacity deviation correction value. This represents the capacity decay value. Based on the capacity deviation correction value obtained from the equivalent stress correction model and the capacity decay value obtained from the aging state transition model, the initial capacity observation value is corrected. This can compensate for the capacity deviation caused by stress during battery charging and discharging and the capacity decay caused by battery aging, thereby obtaining a more accurate effective battery capacity of the battery under test.

[0059] After obtaining the effective capacity of the battery under test, the estimated state of health (SOH) can be obtained to assess the battery's health status. The formula for calculating the estimated SOH is as follows:

[0060] ;(Formula 10)

[0061] in, For the effective capacity of the battery, This is the rated capacity.

[0062] like Figure 2 As shown, this application also provides a charging integrated machine, including the capacity detection system of the charging and discharging integrated machine. The charging and discharging integrated machine further includes: a charging and discharging control module for controlling the battery under test to perform charging or discharging operations; and a human-machine interaction module for displaying the effective battery capacity of the battery under test in real time and setting capacity detection parameters.

[0063] The human-computer interaction module includes a display screen, a touch screen, a microphone, a speaker, and a camera, enabling the charging device to perform voice inquiries and gesture touch operations. The display screen shows the capacity detection settings and the final capacity detection results. The capacity detection parameters include: maximum current and maximum power of the charging / discharging guns for two charging cycles, resting time before charging, and SOC data.

[0064] It should be explained that the capacity detection system of the integrated charge / discharge machine of this application is included within the integrated charge / discharge machine. Through the modular system of the integrated charge / discharge machine, that is, through the collaborative efforts of hardware, software, and UI, online capacity detection and display are completed. Therefore, this integrated charge / discharge machine can perform capacity detection on the battery during the normal charge / discharge process without interrupting the process or requiring external equipment. Furthermore, it employs an equivalent stress correction model and an aging state transition model to dynamically correct the initial capacity observation value through aging state transition and stress mapping, thereby improving the accuracy of capacity estimation.

[0065] Combination Figure 3 This describes the capacity detection process of the integrated charger during the charging and discharging of an electric vehicle. The available power capacity is calculated as follows: (Rated capacity of current battery 1 × SOC × 80% + Rated capacity of backup battery 2 × SOC × 80%) ≥ Rated capacity of the battery under test.

[0066] This application achieves high-precision estimation of the true capacity of the battery by combining the initial capacity observation with the equivalent stress correction model and the aging state transition model, and completes capacity detection without terminating the charge and discharge control process.

[0067] It should be emphasized that the capacity detection method for the integrated charge and discharge machine provided in this application has the following beneficial effects:

[0068] This application's capacity testing is performed simultaneously with the charge / discharge process, eliminating the need for separate testing. Furthermore, its embedded modular design enables online capacity testing without external equipment. The capacity testing method considers the thermal management system, battery temperature, rate capability, and aging state. It uses the traditional two-point method's capacity calculation result as the initial capacity observation value, and then dynamically corrects this initial value through aging state transition and stress mapping. This results in significantly higher capacity testing accuracy than the traditional two-point method. The capacity testing system is applicable to different cell types, overall battery pack designs, and thermal management strategies. This application obtains highly accurate battery effective capacity and estimated state of equilibrium (SOH), which can be used for subsequent battery operating status assessment, lifespan analysis, and user display. It can also provide a basis for equipment operation strategy optimization or maintenance decisions, and is continuously iterated and updated during subsequent operation.

[0069] Figure 4 This is a schematic block diagram of the capacity detection method for the integrated charge-discharge machine provided in the embodiments of this application. Figure 4 As shown, the main steps of the capacity detection method for the integrated charge-discharge machine include:

[0070] Step S41: Real-time acquisition of battery operating parameters and thermal management system operating parameters of the battery under test during the charging and discharging process; wherein, the thermal management system operating parameters include: coolant inlet temperature, coolant outlet temperature, and total power of the thermal management system;

[0071] Step S42: Based on the real-time collected battery operating parameters and thermal management system operating parameters, calculate the initial capacity observation value of the battery under test based on the capacity observation model, and correct the initial capacity observation value using the equivalent stress correction model and aging state transition model to obtain the effective capacity of the battery under test.

[0072] It should be understood that the specific process of performing the above-mentioned steps has been described in detail in the above system embodiments, and will not be repeated here for the sake of brevity.

[0073] It should also be understood that the module division in the embodiments of this application is illustrative and only represents a logical functional division; in actual implementation, there may be other division methods. Furthermore, the functional modules in the various embodiments of this application can be integrated into a single processor, exist as separate physical entities, or be integrated into a single module. The integrated modules described above can be implemented in hardware or as software functional modules.

[0074] Figure 5 This is a schematic block diagram of the electronic terminal provided in an embodiment of this application. Figure 5As shown, the electronic terminal 500 includes at least one processor 501, a memory 502, at least one network interface 503, and a user interface 505. The various components in the electronic terminal 500 are coupled together via a bus system 504. It is understood that the bus system 504 is used to implement communication between these components. In addition to a data bus, the bus system 504 also includes a power bus, a control bus, and a status signal bus. However, for clarity, in… Figure 5 The general will label all buses as bus systems.

[0075] The user interface 505 may include a monitor, keyboard, mouse, trackball, clicker, button, touchpad, or touch screen.

[0076] It is understood that memory 502 can be volatile memory or non-volatile memory, or both. Non-volatile memory can be read-only memory (ROM) or programmable read-only memory (PROM), which serves as an external cache. By way of example, but not limitation, many forms of RAM are available, such as static random access memory (SRAM) and synchronous static random access memory (SSRAM). The memories described in the embodiments of this invention are intended to include, but are not limited to, these and any other suitable categories of memory.

[0077] In this embodiment of the invention, the memory 502 is used to store various types of data to support the operation of the electronic terminal 500. Examples of this data include: any executable program for operation on the electronic terminal 500, such as the operating system 5021 and application programs 5022; the operating system 5021 contains various system programs, such as the framework layer, core library layer, driver layer, etc., for implementing various basic services and handling hardware-based tasks. The application program 5022 may contain various applications, such as a media player, browser, etc., for implementing various application services. The capacity detection method of the charging and discharging integrated machine provided in this embodiment of the invention can be included in the application program 5022.

[0078] The methods disclosed in the above embodiments of the present invention can be applied to processor 501, or implemented by processor 501. Processor 501 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the integrated logic circuit of the hardware in processor 501 or by instructions in the form of software. The processor 501 may be a general-purpose processor, a digital signal processor (DSP), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Processor 501 can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of the present invention. General-purpose processor 501 may be a microprocessor or any conventional processor, etc. The steps of the accessory optimization method provided in the embodiments of the present invention can be directly reflected as being executed by a hardware decoding processor, or being executed by a combination of hardware and software modules in the decoding processor. The software module may be located in a storage medium, which is located in memory. The processor reads the information in the memory and combines it with its hardware to complete the steps of the aforementioned method.

[0079] In an exemplary embodiment, the electronic terminal 500 may be used to execute the aforementioned method by one or more application-specific integrated circuits (ASICs), DSPs, programmable logic devices (PLDs), or complex programmable logic devices (CPLDs).

[0080] According to the method provided in the embodiments of this application, this application also provides a computer program product, which includes: computer program code, which, when run on a computer, causes the computer to perform the method of any of the embodiments described above.

[0081] According to the method provided in the embodiments of this application, this application also provides a computer-readable storage medium storing program code, which, when run on a computer, causes the computer to perform the method of any of the embodiments described above.

[0082] As used in this specification, the terms "component," "module," "system," etc., are used to refer to computer-related entities, hardware, firmware, combinations of hardware and software, software, or software in execution. For example, a component can be, but is not limited to, a process running on a processor, a processor, an object, an executable file, an execution thread, a program, and / or a computer. As illustrated, applications running on computing devices and computing devices can both be components. One or more components may reside in a process and / or an execution thread, and components may be located on a single computer and / or distributed among two or more computers. Furthermore, these components can be executed from various computer-readable media on which various data structures are stored. Components can communicate, for example, via local and / or remote processes based on signals having one or more data packets (e.g., data from two components interacting with another component between a local system, a distributed system, and / or a network, such as the Internet interacting with other systems via signals).

[0083] Those skilled in the art will recognize that the various illustrative logical blocks and steps described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this application.

[0084] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0085] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0086] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0087] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0088] In the above embodiments, the functions of each functional unit can be implemented entirely or partially through software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented entirely or partially in the form of a computer program product. A computer program product includes one or more computer instructions (programs). When the computer program instructions (programs) are loaded and executed on a computer, all or part of the flow or function according to the embodiments of this application is generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. Computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that integrates one or more available media. Available media can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., high-density digital video discs (DVDs)), or semiconductor media (e.g., solid-state disks (SSDs)).

[0089] If a function is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0090] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0091] In summary, the capacity detection system, method, integrated charge-discharge machine, medium, program product, and terminal provided in this application include: a data acquisition module for real-time acquisition of battery operating parameters and thermal management system operating parameters of the battery under test during the charging and discharging process; wherein, the thermal management system operating parameters include: coolant inlet temperature, coolant outlet temperature, and total power of the thermal management system; and a capacity observation and correction module for calculating the initial capacity observation value of the battery under test based on the real-time acquired battery operating parameters and thermal management system operating parameters, using a capacity observation model, and correcting the initial capacity observation value using an equivalent stress correction model and an aging state transition model to obtain the effective battery capacity of the battery under test.

[0092] This application integrates capacity testing with the charge / discharge process, eliminating the need for separate testing. Furthermore, its embedded modular design enables online capacity testing without external equipment. The capacity testing method considers the thermal management system, battery temperature, rate capability, and aging state. It uses the traditional two-point method's capacity calculation result as the initial capacity observation value, then dynamically corrects this value through aging state transition and stress mapping, resulting in significantly higher capacity testing accuracy than the traditional two-point method. This capacity testing system is applicable to different cell types, overall battery pack designs, and thermal management strategies. This application obtains highly accurate battery effective capacity and estimated state of equilibrium (SOH), which can be used for subsequent battery operating status assessment, lifespan analysis, and user display. It can also provide a basis for equipment operation strategy optimization or maintenance decisions, and is continuously iterated and updated during subsequent operation. Therefore, this application effectively overcomes the various shortcomings of existing technologies and has high industrial applicability.

[0093] The above embodiments are merely illustrative of the principles and effects of this application and are not intended to limit this application. Any person skilled in the art can modify or alter the above embodiments without departing from the spirit and scope of this application. Therefore, all equivalent modifications or alterations made by those skilled in the art without departing from the spirit and technical concept disclosed in this application should still be covered by the claims of this application.

Claims

1. A capacity detection system for a charge / discharge integrated machine, characterized in that, include: The data acquisition module is used to collect the battery operating parameters and thermal management system operating parameters of the battery under test in real time during the charging and discharging process; wherein, the thermal management system operating parameters include: coolant inlet temperature, coolant outlet temperature, and total power of the thermal management system; The capacity observation and correction module is used to calculate the initial capacity observation value of the battery under test based on the real-time collected battery operating parameters and thermal management system operating parameters, and to correct the initial capacity observation value using an equivalent stress correction model and an aging state transition model to obtain the effective capacity of the battery under test.

2. The capacity detection system of the integrated charge / discharge machine according to claim 1, characterized in that, The initial capacity observations are corrected using an equivalent stress correction model and an aging state transition model to obtain the effective capacity of the battery under test. The specific process includes: Based on the real-time collected battery operating parameters and thermal management system operating parameters, the capacity deviation correction value and capacity decay value are calculated based on the equivalent stress correction model and the aging state transition model, respectively. The initial capacity observation value is corrected based on the capacity deviation correction value and the capacity decay value to obtain the effective capacity of the battery under test.

3. The capacity detection system of the integrated charge / discharge machine according to claim 1, characterized in that, The equivalent stress correction model is constructed as follows: The total stress of the battery under test during the charging and discharging process is calculated based on the battery operating parameters and the thermal management system operating parameters. Determine the stress-capacity correction coefficient, and based on the stress-capacity correction coefficient, total stress, and rated capacity of the battery under test, construct an equivalent stress correction model to calculate the capacity deviation correction value.

4. The capacity detection system of the integrated charge / discharge machine according to claim 1, characterized in that, The aging state transition model is as follows: ； ； ； in, This is the capacity decay value. For the equivalent number of cycles, The activation energy is given by R, where R is the ideal gas constant. This is the proportionality coefficient. The nonlinear exponent for aging is T, where T is the battery equivalent temperature. Temperature is coupled for thermal management calculation. For battery temperature, Temperature weighting coefficient; This refers to the coolant inlet temperature. This refers to the coolant outlet temperature. The total power of the thermal management system, For equivalent heat capacity, This represents the thermal management coupling coefficient.

5. The capacity detection system of the integrated charge / discharge machine according to claim 1, characterized in that, The initial capacity observation value is corrected based on the capacity deviation correction value and the capacity decay value, and the formula for calculating the effective capacity of the battery under test is as follows: ； in, For the effective capacity of the battery, These are the initial capacity observations. This is the capacity deviation correction value. This represents the capacity decay value.

6. A charging all-in-one machine, characterized in that, The capacity detection system of the charge-discharge integrated machine as described in any one of claims 1 to 5, wherein the charge-discharge integrated machine further includes: The charge / discharge control module is used to control the battery under test to perform charging or discharging operations. The human-computer interaction module is used to display the effective capacity of the battery under test in real time and to set the capacity detection parameters.

7. A method for detecting the capacity of a charge-discharge integrated machine, characterized in that, include: The battery operating parameters and thermal management system operating parameters of the battery under test are collected in real time during the charging and discharging process; wherein, the thermal management system operating parameters include: coolant inlet temperature, coolant outlet temperature, and total power of the thermal management system; Based on the real-time collected battery operating parameters and thermal management system operating parameters, the initial capacity observation value of the battery under test is calculated based on the capacity observation model. The initial capacity observation value is then corrected using an equivalent stress correction model and an aging state transition model to obtain the effective capacity of the battery under test.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the capacity detection method of the charging and discharging integrated machine as described in claim 7.

9. A computer program product, characterized in that, The computer program product includes computer program code, which, when run on a computer, enables the computer to implement the capacity detection method of the integrated charging and discharging machine as described in claim 7.

10. An electronic terminal, comprising a memory, a processor, and a computer program stored in the memory, characterized in that, The processor executes the computer program to implement the capacity detection method of the charging and discharging integrated machine as described in claim 7.

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