A battery pack SOH correction system, method, device, terminal and medium

Abstract

The present invention discloses a battery pack SOH correction system, method, terminal and medium for battery swapping, which belongs to the field of battery swapping technology, including: a battery management system for obtaining battery pack data and sending it to an SOH correction cloud control system; an SOH correction cloud control system for obtaining the battery pack data sent by the battery management system to obtain the SOH estimation deviation, and according to the SOH estimation deviation, obtain the corresponding SOH correction strategy and send it to the SOH correction battery swap station end system; an SOH correction battery swap station end system for obtaining and executing the corresponding SOH correction strategy sent by the SOH correction cloud control system and generating the data required for the corresponding SOH correction strategy and sending it to the SOH correction cloud control system; the SOH correction cloud control system is also used to obtain the data required for the corresponding SOH correction strategy to estimate and obtain the corresponding corrected battery real SOH data. This patent ensures SOH accuracy throughout the entire life cycle by relying on cloud-edge collaboration and battery swap operation mode.

Description

Technical Field

[0001] The present invention discloses a battery pack SOH correction system, method, terminal and medium for battery replacement, belonging to the technical field of battery replacement. Background Art

[0002] With the development of energy technology and the increasing awareness of environmental protection, new energy vehicles are gradually becoming one of the mainstream means of transportation. New energy vehicles are vehicles that use unconventional automotive fuels as their power source and integrate advanced technologies in vehicle power control and drive to form advanced technical principles, new technologies, and new structures.

[0003] New energy vehicles are generally powered by batteries such as solar cells and fuel cells. Throughout the battery pack's lifecycle, its health is closely related to the battery's available energy and power, directly impacting key vehicle performance, such as range and power. Therefore, accurate estimation of the battery's state of health (SOH) is crucial.

[0004] The technical problems with current SOH estimation are:

[0005] (1) The impact of aging paths on the true SOH of batteries is not well studied, and there is a lack of data support for SOH estimation throughout the battery life cycle, and the accuracy of SOH needs to be improved;

[0006] (2) The development of the SOH algorithm needs to be combined with battery data, requires a large number of tests, and has a long development cycle and verification cycle. Summary of the Invention

[0007] In response to the shortcomings of the existing technology, the present invention proposes a battery pack SOH correction system, method, device, terminal and medium for battery swapping, which ensures the SOH accuracy throughout the entire life cycle by relying on cloud-edge collaboration and battery swapping operation mode.

[0008] The technical solutions of the present invention are as follows:

[0009] According to a first aspect of an embodiment of the present invention, a battery pack SOH correction system is provided, comprising:

[0010] The battery management system is used to obtain battery pack data and send it to the SOH correction cloud control system;

[0011] The SOH correction cloud control system is used to obtain the battery pack data sent by the battery management system to obtain the SOH estimation deviation, and obtain the corresponding SOH correction strategy based on the SOH estimation deviation and send it to the SOH correction station end system;

[0012] The SOH correction station-side system is used to obtain and execute the corresponding SOH correction strategy sent by the SOH correction cloud control system and generate the data required for the corresponding SOH correction strategy and send it to the SOH correction cloud control system;

[0013] The SOH correction cloud control system is also used to obtain the data required for the corresponding SOH correction strategy to estimate the corresponding corrected battery real SOH data;

[0014] The battery management system is also used to receive and store battery SOH data estimated by the SOH correction cloud control system and use the SOH for subsequent battery control strategies.

[0015] Preferably, the SOH correction cloud control system is also used to store the corrected real SOH data of the battery for self-learning training; the battery pack data includes at least: battery temperature, operating current, operating voltage, current single cell capacity and current estimated battery pack SOH.

[0016] Preferably, the acquiring the battery pack data sent by the battery management system to obtain the SOH estimation deviation includes:

[0017] The battery pack fitting capacity is obtained through statistical analysis of the temperature field conditions of the entire life cycle of the single battery cell;

[0018] Obtaining a first SOH estimation deviation influencing factor by using the battery pack fitting capacity and the currently estimated battery pack SOH;

[0019] A first impact factor weight coefficient is obtained based on the first SOH estimation deviation impact factor and the cloud SOH correction trigger condition statistics;

[0020] The SOH estimation deviation caused by the unexpected decrease in the actual battery capacity due to the uneven working environment of the battery cell is obtained through the first SOH estimation deviation influencing factor and the first influencing factor weight coefficient;

[0021] The time during which the working current is greater than the threshold is accumulated to obtain the working current accumulated time, and whether it is greater than the working current accumulated time threshold is determined:

[0022] If yes, the second SOH estimation deviation influencing factor is obtained by accumulating the current working current over time;

[0023] If no, continue to accumulate the time during which the working current is greater than the threshold;

[0024] A second impact factor weight coefficient is formed based on the second SOH estimation deviation impact factor and the cloud SOH correction trigger condition statistics;

[0025] The time the working voltage is in the low voltage area is accumulated to obtain the working voltage accumulated time and whether it is greater than the working voltage accumulated time threshold is determined:

[0026] If yes, the third SOH estimation deviation influence factor is obtained by accumulating the current operating voltage over time;

[0027] If no, continue to accumulate the time the working voltage is in the low voltage area;

[0028] A weight coefficient of a third impact factor is obtained based on the third SOH estimation deviation impact factor and the cloud SOH correction trigger condition statistics;

[0029] Obtaining the SOH estimation deviation caused by a decrease in the estimated SOH accuracy due to severe battery pack usage conditions according to the second SOH estimation deviation influencing factor, the second influencing factor weight coefficient, the third SOH estimation deviation influencing factor, and the third influencing factor weight coefficient;

[0030] The SOH estimation deviation is obtained by combining the SOH estimation accuracy drop caused by the severe operating conditions of the battery pack and the SOH estimation deviation caused by the unexpected drop in the actual battery capacity due to the uneven working environment of the battery cell.

[0031] Preferably, obtaining a corresponding SOH correction strategy according to the SOH estimation deviation includes:

[0032] When σ1<battery pack SOH estimation deviation<σ2, the SOH correction strategy is to correct the SOH by fully charging the battery;

[0033] When the battery SOH estimation deviation is greater than σ2, the SOH correction strategy is to estimate the actual SOH of the battery using the battery internal resistance method;

[0034] When the battery SOH estimation deviation is less than σ1, the SOH is not corrected.

[0035] Preferably, the obtaining and executing the corresponding SOH correction strategy sent by the SOH correction cloud control system and generating data required for the corresponding SOH correction strategy includes:

[0036] When the SOH correction strategy is to correct the SOH in a fully charged battery mode, the data required by the SOH correction strategy are: the charging power change process time and the fixed current;

[0037] When the SOH correction strategy is to estimate the actual SOH of the battery using the battery internal resistance method, the data required by the SOH correction strategy is: the battery internal resistance value.

[0038] Preferably, the step of obtaining the data required for the corresponding SOH correction strategy and estimating the corresponding corrected real SOH data of the battery includes:

[0039] When the SOH correction strategy is to correct the SOH in a fully charged battery mode, the actual SOH data of the battery after the full charge correction is obtained by formula (1):

[0040]

[0041] Where: SOH1 is the actual SOH data of the battery after correction of the full charge mode, I is the fixed current, and Q is the initial battery capacity;

[0042] The SOH correction strategy is based on the battery internal resistance estimation method. When the actual SOH of the battery is:

[0043] The normalized battery resistance data is obtained by formula (2):

[0044] R o =β1×R1+β2×R2+…+β n ×R n (2)

[0045] Where R0 is the normalized battery resistance data, β is the resistance coefficient, which is obtained through the internal resistance-related database and the corresponding resistance value, R is the resistance value, and n is the number of resistors set in different power stages of high, medium, and low, and n ≥ 3;

[0046] The actual SOH data of the battery after correction for the full charge mode of the battery is obtained based on the database related to the normalized battery resistance and internal resistance.

[0047] According to a second aspect of an embodiment of the present invention, a method for correcting the SOH of a battery pack is provided, which is applied to the SOH correction system for the battery pack according to the first aspect, including:

[0048] Acquire the battery pack data to obtain the SOH estimation deviation, and obtain a corresponding SOH correction strategy based on the SOH estimation deviation and send it to the SOH correction battery swap station end system;

[0049] Obtain the data required for the SOH correction and send the corresponding SOH correction strategy by the battery swap station system to estimate the actual SOH data of the battery after the corresponding correction.

[0050] According to a third aspect of an embodiment of the present invention, a battery pack SOH correction device is provided, comprising:

[0051] An SOH correction starting module is configured to obtain the battery pack data to obtain an SOH estimation deviation, and obtain a corresponding SOH correction strategy based on the SOH estimation deviation and send it to the SOH correction battery swap station end system;

[0052] The SOH online estimation module obtains the data required by the SOH correction battery swap station system to send the corresponding SOH correction strategy to estimate the actual SOH data of the battery after the corresponding correction.

[0053] According to a fourth aspect of an embodiment of the present invention, a terminal is provided, including:

[0054] one or more processors;

[0055] a memory for storing the one or more processor-executable instructions;

[0056] The one or more processors are configured to:

[0057] Execute the method described in the second aspect of the embodiment of the present invention.

[0058] According to a fifth aspect of an embodiment of the present invention, a non-transitory computer-readable storage medium is provided. When instructions in the storage medium are executed by a processor of a terminal, the terminal is enabled to execute the method described in the second aspect of the embodiment of the present invention.

[0059] According to a sixth aspect of the embodiments of the present invention, an application product is provided. When the application product is running on a terminal, the terminal executes the method described in the second aspect of the embodiments of the present invention.

[0060] The beneficial effects of the present invention are:

[0061] This patent provides a battery pack SOH correction system, method, device, terminal and medium for battery swapping. Relying on the cloud-edge collaboration and battery swapping operation mode, when the battery is replaced at the battery swapping station, the model is used to determine whether correction is needed, and the battery pack SOH is forced to be corrected within the battery swapping station to ensure SOH accuracy throughout the life cycle; the SOH correction process data is uploaded to the cloud to train the SOH correction model, shortening the SOH algorithm development cycle and verification cycle.

[0062] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Figure 1 This is a schematic block diagram of the structure of a battery pack SOH correction system according to an exemplary embodiment;

[0064] Figure 2 This is a flow chart of a method for correcting the SOH of a battery pack according to an exemplary embodiment;

[0065] Figure 3This is a schematic block diagram of a low-speed pedestrian warning sound design system for electric vehicles according to an exemplary embodiment;

[0066] Figure 4 The figure is a schematic block diagram of a terminal structure according to an exemplary embodiment. DETAILED DESCRIPTION

[0067] The technical solution of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0068] In the description of the present invention, it should be noted that the terms "center", "up", "down", "left", "right", "vertical", "horizontal", "inside", "outside", etc., indicating directions or positional relationships, are based on the directions or positional relationships shown in the accompanying drawings. They are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific direction, be constructed and operated in a specific direction. Therefore, they cannot be understood as limiting the present invention.

[0069] In the description of the present invention, it should be noted that, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they may refer to fixed, detachable, or integral connections; mechanical or electrical connections; direct or indirect connections through an intermediate medium; and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on the specific circumstances.

[0070] Example 1

[0071] Figure 1 This is a structural block diagram of a battery pack SOH correction system according to an exemplary embodiment, including: a battery management system, an SOH correction battery swap station end system and an SOH correction cloud control system. The SOH correction cloud control system is respectively connected to the battery management system and the SOH correction battery swap station end system network. The working mode of the above components and the cooperation between them will be introduced in detail below.

[0072] First, let’s introduce the battery management system, which is used to obtain battery pack data and send it to the SOH correction cloud control system. The battery pack data includes at least: battery temperature, operating current, operating voltage and the current estimated battery pack SOH.

[0073] The SOH correction cloud control system is used to obtain the battery pack data sent by the battery management system to obtain the SOH estimation deviation, and then obtain the corresponding SOH correction strategy based on the SOH estimation deviation and send it to the SOH correction station end system. The specific steps for obtaining the SOH estimation deviation from the battery pack data are as follows:

[0074] The current cell capacity is obtained from the battery pack data, and the fitted capacity of the battery pack is obtained through statistical analysis of the temperature field conditions of the cell throughout its life cycle. The first SOH estimation deviation impact factor a is calculated by combining the fitted capacity and the currently estimated battery pack SOH. The first impact factor weight coefficient A is calculated based on the first SOH estimation deviation impact factor a and the cloud-based SOH correction trigger condition statistics. The first SOH estimation deviation impact factor a and the first impact factor weight coefficient A are used to determine the SOH estimation deviation caused by an unexpected decrease in the actual battery capacity due to a non-uniform cell operating environment.

[0075] The time during which the working current is greater than the threshold is accumulated to obtain the working current accumulated time and a determination is made as to whether the time is greater than the working current accumulated time threshold:

[0076] If yes, the second SOH estimation deviation influencing factor b is obtained by accumulating the current working current over time;

[0077] If no, continue to accumulate the time during which the working current is greater than the threshold;

[0078] The second impact factor weight coefficient B is formed based on the second SOH estimation deviation impact factor b and the cloud SOH correction trigger condition statistics. The time the working voltage is in the low voltage area is accumulated to obtain the working voltage cumulative time and determine whether it is greater than the working voltage cumulative time threshold:

[0079] If yes, the third SOH estimation deviation influence factor c is obtained by accumulating the current operating voltage over time;

[0080] No, continue to accumulate the time the working voltage is in the low voltage area;

[0081] The third impact factor weight coefficient C is obtained based on the third SOH estimation deviation impact factor c and the cloud SOH correction trigger condition statistics;

[0082] Obtain the SOH estimation deviation caused by a decrease in the estimated SOH accuracy due to severe battery pack usage conditions according to the second SOH estimation deviation influencing factor b, the second influencing factor weight coefficient B, the third SOH estimation deviation influencing factor c, and the third influencing factor weight coefficient C;

[0083] The SOH estimation deviation caused by the decrease in the estimated SOH accuracy due to the severe operating conditions of the battery pack and the SOH estimation deviation caused by the unexpected decrease in the actual battery capacity due to the uneven working environment of the battery cell is obtained by formula (1).

[0084] SOH estimation bias = a×A+b×B+c×C (1)

[0085] The specific steps for obtaining the corresponding SOH correction strategy based on the SOH estimation deviation are as follows:

[0086] When σ1<battery pack SOH estimation deviation<σ2, the SOH correction strategy is to correct the SOH by fully charging the battery;

[0087] When the battery SOH estimation deviation is greater than σ2, the SOH correction strategy is to estimate the actual SOH of the battery using the battery internal resistance method;

[0088] When the battery SOH estimation deviation is less than σ1, the SOH is not corrected.

[0089] The SOH correction system at the battery swap station obtains and executes the corresponding SOH correction strategy sent by the SOH correction cloud control system and generates the data required for the corresponding SOH correction strategy and sends it to the SOH correction cloud control system. When the SOH correction strategy is to correct the SOH by fully charging the battery, the SOH correction system at the battery swap station charges the battery from the low-end area to the high-end area at a fixed current I until the cell voltage reaches the threshold V1, and obtains the charging power change process time. Therefore, the data required for the SOH correction strategy are: charging power change process time and fixed current;

[0090] When the SOH correction strategy is a battery internal resistance estimation method to estimate the actual SOH of the battery, the battery swap station end system tests the battery DC internal resistance in the low end area (usually 10%) / middle end area (usually 50%) / high end area (usually 90%) of the battery power, so the data required for the SOH correction strategy are: at least three battery internal resistance values ​​of the three interval segments, which are R1, R2 and R3 respectively.

[0091] The SOH correction cloud control system obtains the data required for the corresponding SOH correction strategy and estimates the actual battery SOH data after the corresponding correction. The specific steps are as follows:

[0092] When the SOH correction strategy is to correct the SOH by fully charging the battery, the actual SOH data of the battery after the correction by fully charging the battery is obtained by formula (2):

[0093]

[0094] Where: SOH1 is the actual SOH data of the battery after correction of the full charge mode, I is the fixed current, and Q is the initial battery capacity;

[0095] When the SOH correction strategy is the battery internal resistance estimation method and the actual SOH of the battery is:

[0096] The normalized battery resistance data is obtained by formula (3):

[0097] R0=β1×R1+β2×R2+…+β n ×R n (3)

[0098] Where R0 is the normalized battery resistance data, β is the resistance coefficient, which is obtained through the internal resistance-related database and the corresponding resistance value, R is the resistance value, and n is the number of resistors set in different power stages of high, medium, and low, and n ≥ 3;

[0099] The actual SOH data of the battery after correction for the full charge mode is obtained based on the database related to the normalized battery resistance and internal resistance.

[0100] The battery swap station-side system is corrected to use the SOH estimation deviation calculation results for self-learning training, and the SOH correction trigger conditions are used to statistically optimize the weight coefficients of different influencing factors; the statistical results of the corrected SOH difference values ​​are used to optimize the SOH correction method judgment thresholds σ1 and σ2, and the corresponding corrected battery real SOH data is used to train the estimation capability to improve the SOH estimation accuracy.

[0101] The battery management system is also used to receive and store the battery SOH data estimated by the SOH correction cloud control system and use the SOH for subsequent battery control strategies.

[0102] Example 2

[0103] Figure 2 This is a flowchart of a method for correcting the SOH of a battery pack according to an exemplary embodiment. The method is implemented by a terminal, which includes at least a CPU, etc. The specific steps include:

[0104] Step 101: Obtain battery pack data to obtain the SOH estimation deviation, and obtain a corresponding SOH correction strategy based on the SOH estimation deviation and send it to the SOH correction station-side system;

[0105] Step 102: Obtain the data required by the SOH correction system of the battery swap station to send the corresponding SOH correction strategy to estimate the actual SOH data of the battery after the corresponding correction.

[0106] The present invention relies on the cloud-edge collaboration mode and the battery swap operation mode. When the battery is replaced at the battery swap station, the model is used to determine whether correction is needed, and the battery pack SOH is forced to be corrected at the battery swap station to ensure the SOH accuracy throughout the life cycle; the SOH correction process data is uploaded to the cloud to train the SOH correction model, shortening the SOH algorithm development cycle and verification cycle.

[0107] Example 3

[0108] Figure 3 The present invention is a schematic block diagram of a battery pack SOH correction device according to an exemplary embodiment, including:

[0109] The SOH correction starting module 210 is used to obtain the battery pack data to obtain the SOH estimation deviation, and obtain the corresponding SOH correction strategy based on the SOH estimation deviation and send it to the SOH correction station end system;

[0110] The SOH online estimation module 220 obtains the data required for the SOH correction and sends the corresponding SOH correction strategy by the battery swap station system to estimate the actual SOH data of the battery after the corresponding correction.

[0111] The present invention relies on the cloud-edge collaboration mode and the battery swap operation mode. When the battery is replaced at the battery swap station, the model is used to determine whether correction is needed, and the battery pack SOH is forced to be corrected at the battery swap station to ensure the SOH accuracy throughout the life cycle; the SOH correction process data is uploaded to the cloud to train the SOH correction model, shortening the SOH algorithm development cycle and verification cycle.

[0112] Example 4

[0113] Figure 4 This is a block diagram of a terminal provided in an embodiment of the present application. This terminal may be the terminal in the above-mentioned embodiment. The terminal 300 may be a portable mobile terminal, such as a smartphone or tablet computer. The terminal 300 may also be referred to as a user equipment, a portable terminal, or other similar terminology.

[0114] Typically, the terminal 300 includes a processor 301 and a memory 302 .

[0115] The processor 301 may include one or more processing cores, such as a 4-core processor, an 8-core processor, etc. The processor 301 may be implemented in at least one hardware form of DSP (Digital Signal Processing), FPGA (Field-Programmable Gate Array), or PLA (Programmable Logic Array). The processor 301 may also include a main processor and a coprocessor. The main processor is a processor for processing data in the awake state, also known as a CPU (Central Processing Unit); the coprocessor is a low-power processor for processing data in the standby state. In some embodiments, the processor 301 may be integrated with a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content to be displayed on the display screen. In some embodiments, the processor 301 may also include an AI (Artificial Intelligence) processor, which is used to process computing operations related to machine learning.

[0116] The memory 302 may include one or more computer-readable storage media, which may be tangible and non-volatile. The memory 302 may also include a high-speed random access memory, and a non-volatile memory, such as one or more disk storage devices, flash memory storage devices. In some embodiments, the non-volatile computer-readable storage medium in the memory 302 is used to store at least one instruction, which is used to be executed by the processor 301 to implement a battery replacement battery pack SOH correction method provided in this application.

[0117] In some embodiments, the terminal 300 may further include a peripheral device interface 303 and at least one peripheral device. Specifically, the peripheral device includes at least one of a radio frequency circuit 304 , a touch screen 305 , a camera 306 , an audio circuit 307 , a positioning component 308 , and a power supply 309 .

[0118] The peripheral device interface 303 can be used to connect at least one I / O (Input / Output)-related peripheral device to the processor 301 and the memory 302. In some embodiments, the processor 301, the memory 302, and the peripheral device interface 303 are integrated on the same chip or circuit board; in some other embodiments, any one or two of the processor 301, the memory 302, and the peripheral device interface 303 can be implemented on separate chips or circuit boards, which is not limited in this embodiment.

[0119] The RF circuit 304 is used to receive and transmit RF (Radio Frequency) signals, also known as electromagnetic signals. The RF circuit 304 communicates with communication networks and other communication devices via electromagnetic signals. The RF circuit 304 converts electrical signals into electromagnetic signals for transmission, or converts received electromagnetic signals into electrical signals. Optionally, the RF circuit 304 includes an antenna system, an RF transceiver, one or more amplifiers, a tuner, an oscillator, a digital signal processor, a codec chipset, a user identity module card, and the like. The RF circuit 304 can communicate with other terminals via at least one wireless communication protocol. Such wireless communication protocols include, but are not limited to, the World Wide Web, metropolitan area networks, intranets, various generations of mobile communication networks (2G, 3G, 4G, and 5G), wireless local area networks, and / or WiFi (Wireless Fidelity) networks. In some embodiments, the RF circuit 304 may also include circuits related to Near Field Communication (NFC), which is not limited in this application.

[0120] The touchscreen display 305 is used to display a user interface (UI). This UI can include graphics, text, icons, videos, or any combination thereof. The touchscreen display 305 is also capable of collecting touch signals on or above the surface of the touchscreen display 305. These touch signals can be input as control signals to the processor 301 for processing. The touchscreen display 305 is used to provide virtual buttons and / or a virtual keyboard, also known as soft buttons and / or a soft keyboard. In some embodiments, there can be a single touchscreen display 305, located on the front panel of the terminal 300. In other embodiments, there can be at least two touchscreen displays 305, located on different surfaces of the terminal 300 or in a foldable design. In still other embodiments, the touchscreen display 305 can be a flexible display, located on a curved or foldable surface of the terminal 300. Furthermore, the touchscreen display 305 can be configured as a non-rectangular, irregular shape, also known as a special-shaped screen. The touchscreen display 305 can be made of materials such as LCD (Liquid Crystal Display) and OLED (Organic Light-Emitting Diode).

[0121] The camera assembly 306 is used to capture images or videos. Optionally, the camera assembly 306 includes a front camera and a rear camera. Typically, the front camera is used to enable video calls or selfies, and the rear camera is used to enable photo or video shooting. In some embodiments, there are at least two rear cameras, which are any one of a main camera, a depth of field camera, and a wide-angle camera, so as to realize the fusion of the main camera and the depth of field camera to realize the background blur function, and the fusion of the main camera and the wide-angle camera to realize panoramic shooting and VR (Virtual Reality) shooting function. In some embodiments, the camera assembly 306 may also include a flash. The flash can be a single-color temperature flash or a dual-color temperature flash. A dual-color temperature flash refers to a combination of a warm light flash and a cold light flash, which can be used for light compensation at different color temperatures.

[0122] The audio circuit 307 is used to provide an audio interface between the user and the terminal 300. The audio circuit 307 may include a microphone and a speaker. The microphone is used to collect sound waves from the user and the environment, and convert the sound waves into electrical signals that are input into the processor 301 for processing, or input into the radio frequency circuit 304 to achieve voice communication. For the purpose of stereo sound collection or noise reduction, there may be multiple microphones, each located in different parts of the terminal 300. The microphone may also be an array microphone or an omnidirectional collection microphone. The speaker is used to convert electrical signals from the processor 301 or the radio frequency circuit 304 into sound waves. The speaker may be a traditional thin film speaker or a piezoelectric ceramic speaker. When the speaker is a piezoelectric ceramic speaker, it can not only convert electrical signals into sound waves audible to humans, but also convert electrical signals into sound waves inaudible to humans for purposes such as distance measurement. In some embodiments, the audio circuit 307 may also include a headphone jack.

[0123] The positioning component 308 is used to locate the current geographic location of the terminal 300 to implement navigation or LBS (Location Based Service). The positioning component 308 can be a positioning component based on the US GPS (Global Positioning System), China's Beidou system, or Russia's Galileo system.

[0124] Power supply 309 is used to power various components in terminal 300. Power supply 309 can be AC ​​power, DC power, a disposable battery, or a rechargeable battery. When power supply 309 includes a rechargeable battery, the rechargeable battery can be a wired rechargeable battery or a wireless rechargeable battery. A wired rechargeable battery is charged via a wired line, while a wireless rechargeable battery is charged via a wireless coil. The rechargeable battery can also support fast charging technology.

[0125] Those skilled in the art will understand that Figure 4 The structure shown in the figure does not constitute a limitation on the terminal 300, and the terminal 300 may include more or fewer components than shown in the figure, or combine certain components, or adopt a different component arrangement.

[0126] Example 5

[0127] In an exemplary embodiment, a computer-readable storage medium is also provided, on which a computer program is stored. When the program is executed by a processor, a method for correcting the SOH of a battery replacement pack as provided in all the inventive embodiments of this application is implemented.

[0128] Any combination of one or more computer-readable media can be used. A computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. A computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or component, or any combination thereof. More specific examples (a non-exhaustive list) of computer-readable storage media include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In this document, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, device or device.

[0129] A computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, which carries computer-readable program code. Such a propagated data signal may take a variety of forms, including, but not limited to, electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium that can transmit, propagate, or transport a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0130] Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

[0131] Computer program code for performing the operations of the present invention may be written in one or more programming languages, or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0132] Example 6

[0133] In an exemplary embodiment, an application product is also provided, including one or more instructions, which can be executed by the processor 301 of the above-mentioned device to complete the above-mentioned battery replacement battery pack SOH correction method.

[0134] Although the embodiments of the present invention have been disclosed above, they are not limited to the applications listed in the specification and exemplary embodiments. They can be applied to a variety of fields suitable for the present invention. Further modifications will be readily apparent to those skilled in the art. Therefore, the present invention is not limited to the specific details and illustrations shown and described herein without departing from the general concept defined by the claims and their equivalents.

Claims

1. A battery pack SOH correction system, characterized in that: include: The battery management system is used to obtain battery pack data and send it to the SOH correction cloud control system; The SOH correction cloud control system is used to obtain the battery pack data sent by the battery management system to obtain the SOH estimation deviation, and obtain the corresponding SOH correction strategy based on the SOH estimation deviation and send it to the SOH correction battery swap station end system; The SOH correction station-side system is used to obtain and execute the corresponding SOH correction strategy sent by the SOH correction cloud control system and generate the data required for the corresponding SOH correction strategy and send it to the SOH correction cloud control system; The SOH correction cloud control system is also used to obtain the data required for the corresponding SOH correction strategy to estimate the corresponding corrected battery real SOH data; The battery management system is also used to receive and store battery SOH data estimated by the SOH correction cloud control system and use the SOH in subsequent battery control strategies; The SOH correction cloud control system is also used to store the corrected battery real SOH data for self-learning training; The battery pack data includes at least: battery temperature, operating current, operating voltage, current single cell capacity and current estimated battery pack SOH; The obtaining of the battery pack data sent by the battery management system to obtain the SOH estimation deviation includes: The battery pack fitting capacity is obtained through statistical analysis of the temperature field conditions of the entire life cycle of the single battery cell; Obtaining a first SOH estimation deviation influencing factor by using the battery pack fitting capacity and the currently estimated battery pack SOH; A first impact factor weight coefficient is obtained based on the first SOH estimation deviation impact factor and the cloud SOH correction trigger condition statistics; The SOH estimation deviation caused by the unexpected decrease in the actual battery capacity due to the uneven working environment of the battery cell is obtained through the first SOH estimation deviation influencing factor and the first influencing factor weight coefficient; The time during which the working current is greater than the threshold is accumulated to obtain the working current accumulated time, and whether it is greater than the working current accumulated time threshold is determined: If yes, the second SOH estimation deviation influence factor is obtained by accumulating the current working current over time; If no, continue to accumulate the time during which the working current is greater than the threshold; A second impact factor weight coefficient is formed based on the second SOH estimation deviation impact factor and the cloud SOH correction trigger condition statistics; The time the working voltage is in the low voltage area is accumulated to obtain the working voltage accumulated time and whether it is greater than the working voltage accumulated time threshold is determined: If yes, the third SOH estimation deviation influence factor is obtained by accumulating the current working voltage time; If no, continue to accumulate the time the working voltage is in the low voltage area; A weight coefficient of a third impact factor is obtained based on the third SOH estimation deviation impact factor and the cloud SOH correction trigger condition statistics; Obtaining the SOH estimation deviation caused by a decrease in the estimated SOH accuracy due to severe battery pack usage conditions according to the second SOH estimation deviation influencing factor, the second influencing factor weight coefficient, the third SOH estimation deviation influencing factor, and the third influencing factor weight coefficient; The SOH estimation deviation is obtained by combining the SOH estimation accuracy drop caused by the severe operating conditions of the battery pack and the SOH estimation deviation caused by the unexpected drop in the actual battery capacity due to the uneven working environment of the battery cell.

2. A battery pack SOH correction system according to claim 1, characterized in that: Obtaining a corresponding SOH correction strategy according to the SOH estimation deviation includes: When σ1<battery pack SOH estimation deviation<σ2, the SOH correction strategy is to correct the SOH by fully charging the battery; When the battery SOH estimation deviation is greater than σ2, the SOH correction strategy is to estimate the actual SOH of the battery using the battery internal resistance method; When the battery SOH estimation deviation is less than σ1, the SOH is not corrected.

3. A battery pack SOH correction system according to claim 2, characterized in that: The obtaining and executing the corresponding SOH correction strategy sent by the SOH correction cloud control system and generating data required for the corresponding SOH correction strategy includes: When the SOH correction strategy is to correct the SOH in a fully charged battery mode, the data required by the SOH correction strategy are: the charging power change process time and the fixed current; When the SOH correction strategy is to estimate the actual SOH of the battery using the battery internal resistance method, the data required by the SOH correction strategy is: the battery internal resistance value.

4. A battery pack SOH correction system according to claim 3, characterized in that: The method of obtaining the data required for the corresponding SOH correction strategy and estimating the corresponding corrected real SOH data of the battery includes: When the SOH correction strategy is to correct the SOH in a fully charged battery mode, the actual SOH data of the battery after the full charge correction is obtained by formula (1): （1） Where: SOH1 is the actual SOH data of the battery after correction of the full charge mode, I is the fixed current, and Q is the initial battery capacity; The SOH correction strategy is based on the battery internal resistance estimation method. When the actual SOH of the battery is: The normalized battery resistance data is obtained by formula (2): （2） Where R0 is the normalized battery resistance data, β is the resistance coefficient, which is obtained through the internal resistance-related database and the corresponding resistance value, R is the resistance value, and n is the number of resistors set in different power stages of high, medium, and low, and n ≥ 3; The actual SOH data of the battery after correction for the full charge mode of the battery is obtained based on the database related to the normalized battery resistance and internal resistance.

5. A battery pack SOH correction method, characterized in that: The battery pack SOH correction system applied to any one of claims 1 to 4 comprises: Acquire the battery pack data to obtain the SOH estimation deviation, and obtain a corresponding SOH correction strategy based on the SOH estimation deviation and send it to the SOH correction battery swap station end system; Obtain the data required for the SOH correction and send the corresponding SOH correction strategy by the battery swap station system to estimate the actual SOH data of the battery after the corresponding correction.

6. A battery pack SOH correction device, characterized in that: include: An SOH correction starting module is configured to obtain the battery pack data to obtain an SOH estimation deviation, and obtain a corresponding SOH correction strategy based on the SOH estimation deviation and send it to the SOH correction battery swap station end system; The SOH online estimation module obtains the data required by the SOH correction battery swap station system to send the corresponding SOH correction strategy to estimate the actual SOH data of the battery after the corresponding correction.

7. A terminal, characterized in that: include: one or more processors; a memory for storing said one or more processor-executable instructions; The one or more processors are configured to: Execute the SOH correction method for a battery replacement pack as described in claim 5.

8. A non-transitory computer-readable storage medium, characterized in that When the instructions in the storage medium are executed by the processor of the terminal, the terminal is enabled to execute a battery replacement battery pack SOH correction method as described in claim 5.

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