Voltage discreteness estimation method, device and electronic equipment for satellite lithium battery pack

Abstract

The present invention provides a method, device, and electronic device for estimating the voltage discreteness of a satellite lithium battery pack, wherein the method comprises: obtaining the maximum voltage difference of the current lithium battery pack; determining whether the maximum voltage difference exceeds a consistency deviation trigger threshold; if the maximum voltage difference exceeds the consistency deviation trigger threshold, obtaining a historical voltage dataset of the lithium battery pack, wherein the historical voltage dataset includes historical voltage data of each single cell in the lithium battery pack when fully charged; and fitting the maximum voltage difference of the lithium battery pack in the fully charged state over time using a first-order linear fitting method to obtain a functional relationship between the maximum voltage difference of the lithium battery pack and time, ΔU = f1(t), where ΔU is the maximum voltage difference and t is time. The present invention can estimate the voltage discreteness of a lithium battery pack and can provide an important reference for resource allocation, balanced management design, and on-orbit life estimation of lithium battery packs in satellite energy systems.

Description

Technical Field

[0001] The present invention mainly relates to the field of aerospace satellite energy technology, and in particular to a voltage discreteness estimation method, device and electronic equipment for a satellite lithium battery pack. Background Art

[0002] Satellites (artificial satellites) are the most numerous, widely used, and fastest-growing spacecraft currently launched. They are categorized into low-orbit satellites, medium-orbit satellites, and high-orbit satellites based on their orbital distribution. Satellites have a wide range of uses, such as exploration satellites used to measure topography, survey surface resources, and explore underground mineral deposits. Meteorological satellites can be used to capture cloud images and observe wind direction and speed, among other applications.

[0003] Satellites rely on energy systems to perform their various functions. Satellites primarily rely on two types of power supply: chemical batteries and solar cells. Chemical batteries have a limited lifespan; once the batteries run out of energy, the satellite can no longer send signals back to Earth. Therefore, solar cells installed on the satellite's surface allow for repeated recharging, ensuring a continuous power supply. While in orbit, satellites typically draw energy from solar energy, necessitating the storage of this energy for use when needed. Lithium-ion batteries are currently the most widely used energy storage unit for satellites operating in high, medium, and low orbits, as well as deep space.

[0004] Lithium battery cell consistency is a key on-orbit performance indicator and a crucial component of on-orbit management. Satellite lithium battery packs undergo rigorous process control and cell consistency screening during ground-based production. However, subtle differences in materials and processes, self-discharge rates, and environmental variations such as on-orbit temperature exist between cells. As satellite lithium battery packs age on-orbit, cell consistency deteriorates, necessitating active or passive balancing to improve cell consistency. Currently, there are few estimation methods for the discrete development of on-orbit cells in lithium battery packs, resulting in a lack of refinement in energy system resource allocation, balancing management design, and on-orbit life estimation for lithium battery packs. Summary of the Invention

[0005] The technical problem to be solved by the present invention is to provide a method, device and electronic equipment for estimating the voltage discreteness of a satellite lithium battery pack, which can estimate the voltage discreteness of a lithium battery pack and provide an important reference for resource allocation, balanced management design, and on-orbit life estimation of a lithium battery pack in a satellite energy system.

[0006] In order to solve the above technical problems, in the first aspect, the present invention provides a method for estimating the voltage discreteness of a satellite lithium battery pack, comprising: obtaining the maximum voltage difference of the current lithium battery pack, wherein the maximum voltage difference is the maximum value of the voltage difference between every two single cells in the lithium battery pack; judging whether the maximum voltage difference exceeds the consistency deviation trigger threshold, wherein the consistency deviation trigger threshold is a predetermined voltage difference value; when the maximum voltage difference exceeds the consistency deviation trigger threshold, obtaining a historical voltage data set of the lithium battery pack, wherein the historical voltage data set contains historical voltage data of each single cell in the lithium battery pack in a fully charged state; using a first-order linear fitting method to fit the change of the maximum voltage difference of the lithium battery pack in a fully charged state with time, and obtaining a functional relationship between the maximum voltage difference of the lithium battery pack and time ΔU=f1(t), ΔU is the maximum voltage difference, and t is time.

[0007] Optionally, obtaining the maximum voltage difference of the current lithium battery pack includes: first obtaining the voltage of each single battery in the lithium battery pack, and then obtaining the voltage difference between every two single batteries, wherein the maximum value of the voltage difference between every two single batteries is the maximum voltage difference.

[0008] Optionally, a historical voltage data set of the lithium battery pack is obtained, wherein the historical voltage data set further includes historical voltage data of each of the single cells in the lithium battery pack in a fully charged and rested state or a fully charged and discharged state.

[0009] Optionally, the method further includes: based on the historical voltage data of each of the single cells in the lithium battery pack in the standby state after full charge or in the discharge state after full charge, correcting the functional relationship between the maximum voltage difference and time to obtain ΔU m =f1(t)+f2(t), where ΔU m is the functional relationship between the corrected maximum voltage difference and time, and f2(t) is the functional relationship between the maximum voltage difference correction value and time.

[0010] Optionally, the functional relationship f2(t) between the maximum voltage difference correction value and time is obtained by fitting the change of the maximum voltage difference of each single battery in the lithium battery pack over time in a fully charged and stored state or a fully charged and discharged state using a curve fitting method.

[0011] Optionally, the method further includes estimating the time when the lithium battery pack reaches a balancing start threshold according to a functional relationship between the maximum voltage difference of the lithium battery pack and time, wherein the balancing start threshold is a critical value for whether to start a balancing function of the lithium battery pack.

[0012] In a second aspect, the present invention provides a voltage discreteness estimation device for a satellite lithium battery pack, comprising: a first acquisition module, used to obtain the current maximum voltage difference of the lithium battery pack, wherein the maximum voltage difference is the maximum value of the voltage difference between every two single cells in the lithium battery pack; a first judgment module, used to judge whether the maximum voltage difference exceeds the consistency deviation trigger threshold, wherein the consistency deviation trigger threshold is a predetermined voltage difference value; a second acquisition module, used to obtain a historical voltage data set of the lithium battery pack when the maximum voltage difference exceeds the consistency deviation trigger threshold, wherein the historical voltage data set includes historical voltage data of each single cell in the lithium battery pack in a fully charged state; a fitting module, used to fit the change of the maximum voltage difference of the lithium battery pack in a fully charged state with time using a first-order linear fitting method, and obtain a functional relationship ΔU=f1(t) between the maximum voltage difference of the lithium battery pack and time, ΔU is the maximum voltage difference, and t is time.

[0013] Optionally, a second judgment module is further included, which is used to estimate the time when the lithium battery pack reaches the balancing start threshold based on the functional relationship between the maximum voltage difference of the lithium battery pack and time, wherein the balancing start threshold is the critical value for whether to turn on the lithium battery pack balancing function.

[0014] In a third aspect, the present invention provides an electronic device comprising: a processor and a memory, wherein the memory stores programs or instructions that can be run on the processor, and when the programs or instructions are executed by the processor, the steps of the voltage discreteness estimation method of the satellite lithium battery pack as described in the first aspect are implemented.

[0015] In a fourth aspect, the present invention provides a readable storage medium, characterized in that a program or instruction is stored on the readable storage medium, and when the program or instruction is executed by a processor, the steps of the voltage discreteness estimation method of the satellite lithium battery pack as described in the first aspect are implemented.

[0016] Compared with the prior art, the present invention has the following advantages: by obtaining the maximum voltage difference of the current lithium battery pack, and then judging whether the maximum voltage difference exceeds the consistency deviation trigger threshold, when the maximum voltage difference exceeds the consistency deviation trigger threshold, the historical voltage data set of the lithium battery pack is obtained, wherein the historical voltage data set includes the historical voltage data of each single cell in the lithium battery pack under the fully charged state, and finally the first-order linear fitting method is used to fit the maximum voltage difference of the lithium battery pack under the fully charged state with time, and the functional relationship between the maximum voltage difference of the lithium battery pack and time is obtained, thereby being able to estimate the voltage discreteness of the lithium battery pack, which can provide an important reference for satellite energy system resource allocation, balanced management design, and lithium battery pack on-orbit life estimation. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The accompanying drawings are included to provide a further understanding of the present application. They are incorporated into and constitute a part of this application. The accompanying drawings illustrate embodiments of the present application and, together with this specification, serve to explain the principles of the present application. In the accompanying drawings:

[0018] Figure 1 1 is a flow chart of a method for estimating voltage discreteness of a satellite lithium battery pack according to an embodiment of the present invention;

[0019] Figure 2 This is another flowchart of a method for estimating voltage dispersion of a satellite lithium battery pack according to an embodiment of the present invention;

[0020] Figure 3 This is a schematic structural diagram of a device for estimating voltage dispersion of a satellite lithium battery pack according to an embodiment of the present invention;

[0021] Figure 4 This is another structural diagram of a device for estimating voltage dispersion of a satellite lithium battery pack according to an embodiment of the present invention;

[0022] Figure 5 FIG. 1 is a schematic diagram of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0023] To more clearly illustrate the technical solutions of the embodiments of this application, the following is a brief introduction to the drawings required for describing the embodiments. Obviously, the drawings described below are merely examples or embodiments of this application. Those skilled in the art can apply this application to other similar scenarios based on these drawings without inventive effort. Unless otherwise apparent from the context or otherwise noted, the same reference numerals in the figures represent the same structure or operation.

[0024] As used in this application and the claims, unless the context clearly indicates otherwise, the words "a," "an," "an," and / or "the" are not intended to refer to the singular but may include the plural. Generally speaking, the terms "comprises" and "include" only indicate the inclusion of the steps and elements specifically identified, and these steps and elements do not constitute an exclusive list. A method or apparatus may also include other steps or elements.

[0025] Furthermore, it should be noted that the use of terms such as "first" and "second" to define components is solely for the purpose of distinguishing the corresponding components. Unless otherwise stated, these terms have no special meaning and therefore should not be construed as limiting the scope of protection of this application. Furthermore, while the terms used in this application are selected from commonly known and commonly used terms, some terms mentioned in this specification may have been selected by the applicant at his or her discretion, and their detailed meanings are explained in the relevant sections of this description. Furthermore, this application should be understood not only by the actual terms used, but also by the meaning implied by each term.

[0026] Flowcharts are used in this application to illustrate the operations performed by systems according to embodiments of the present application. It should be understood that the preceding or following operations are not necessarily performed in exact order. Instead, the various steps may be processed in reverse order or simultaneously. Furthermore, other operations may be added to these processes, or one or more operations may be removed from these processes.

[0027] Example 1

[0028] Figure 1 This is a flow chart of a method for estimating the voltage discreteness of a satellite lithium battery pack according to an embodiment of the present invention, with reference to Figure 1 , the method 100 shown includes:

[0029] S110: Obtain the current maximum voltage difference of the lithium battery pack, where the maximum voltage difference is the maximum value of the voltage difference between every two single cells in the lithium battery pack.

[0030] Generally speaking, satellite lithium battery packs undergo strict process control and cell consistency screening during the ground production process. Therefore, when the lithium battery pack is first put into orbit, its maximum voltage difference, that is, the maximum voltage difference between each two cells in the lithium battery pack, is also very small, and it can be considered that there is no voltage difference. However, there are slight differences in materials and processes, self-discharge rates, and environmental differences such as on-orbit temperature between cells. As the satellite lithium battery pack's on-orbit working time increases, the consistency of the cells deteriorates, the performance differences of each cell gradually become apparent, and the difference between the voltages of each cell will also vary significantly. If the voltage difference between each cell, especially the maximum voltage difference, can be known or estimated in a timely manner, effective measures can be taken to intervene, such as improving cell consistency through active or passive balancing, so that the satellite can operate stably and have a longer service life.

[0031] In some embodiments, obtaining the maximum voltage difference of the current lithium battery pack can be accomplished by first obtaining the voltage of each single cell in the lithium battery pack, and then obtaining the voltage difference between each two single cells, where the maximum value of the voltage difference between each two single cells is the maximum voltage difference. For example, if a satellite's lithium battery pack consists of three single cells, namely single cell 1, single cell 2, and single cell 3, and after the satellite has been in orbit for a period of time, the voltage of single cell 1 is 12mV, the voltage of single cell 2 is 34mV, and the voltage of single cell 3 is 25mV, then the calculated pairwise voltage differences between them are 22mV, 9mV, and 13mV, respectively, and 22mV is the maximum voltage difference of the lithium battery pack. It should be understood that the above examples are merely illustrative of the specific implementation of this embodiment and do not impose any limitation on the number and voltage of single cells in the lithium battery pack.

[0032] S120: Determine whether the maximum voltage difference exceeds a consistency deviation trigger threshold, where the consistency deviation trigger threshold is a predetermined voltage difference value.

[0033] In this embodiment, the consistency deviation trigger threshold is a predetermined voltage difference. When the maximum voltage difference exceeds the consistency deviation trigger threshold, it indicates that the battery performance between the individual cells in the current satellite's lithium battery pack begins to show large differences. Therefore, it is necessary to focus on the battery status of the lithium battery pack at this time, and even predict or estimate the subsequent battery status of the lithium battery pack, so as to intervene and enable the satellite's energy supply system to operate effectively, so that the satellite can operate safely and stably in orbit. On the contrary, if the maximum voltage difference does not exceed the consistency deviation trigger threshold, it indicates that the battery performance difference between the individual cells in the current satellite's lithium battery pack is small, and the performance of the entire lithium battery pack is relatively stable, without the need for human intervention, such as the need for active or passive balancing to improve the consistency of the individual cells. Those skilled in the art will understand that the consistency deviation trigger threshold is a preset comparison value, which can be reasonably set according to the actual performance status of the satellite's lithium battery pack, and is not specifically limited here.

[0034] S130. When the maximum voltage difference exceeds the consistency deviation trigger threshold, obtain a historical voltage data set of the lithium battery pack, wherein the historical voltage data set includes historical voltage data of each of the single cells in the lithium battery pack in a fully charged state.

[0035] In this embodiment, when the maximum voltage difference exceeds the consistency deviation trigger threshold, it is necessary to focus on the battery status of the lithium battery pack at this time, and even predict or estimate the subsequent battery status of the lithium battery pack. How to estimate the maximum voltage difference? The method adopted in this embodiment is to find the change pattern of the maximum voltage difference over time from the historical voltage data, and then predict or estimate the maximum voltage difference in the future. Therefore, a historical voltage data set of the lithium battery pack can be obtained, wherein the historical voltage data set contains the historical voltage data of each single cell in the lithium battery pack under the full charge state. The full charge state can basically reflect the change pattern of the maximum voltage difference of the lithium battery pack over time, and the full charge state can be used as a basis for predicting the change of the maximum voltage difference over time in other non-full charge states. In actual application, the historical on-orbit single cell voltage data set of the lithium battery pack can be derived from the database of the on-orbit satellite, and then the voltage data set can be sorted to extract the single cell voltage data subset under the full charge state.

[0036] In some embodiments, a historical voltage dataset of a lithium battery pack is obtained, where the historical voltage dataset may also include historical voltage data of each single cell in the lithium battery pack in a fully charged and idle state or a fully charged and discharged state. In practical applications, the historical on-orbit single cell voltage dataset of the lithium battery pack can be derived from an on-orbit satellite database. The voltage dataset is then collated to extract a subset of data in a fully charged and idle state (for medium and high orbits) or a fully charged and discharged state (for low orbits).

[0037] S140. Use a first-order linear fitting method to fit the maximum voltage difference of the lithium battery pack in a fully charged state as a inverse of time, and obtain a functional relationship ΔU=f1(t) between the maximum voltage difference of the lithium battery pack and time, where ΔU is the maximum voltage difference and t is time.

[0038] In this embodiment, ΔU=f1(t) can be specifically expressed as ΔU=f1(t,v0). v0 is specifically listed in the functional relationship because analysis of on-orbit data from multiple satellites shows that the discreteness of the voltage of a single cell in a fully charged state has a certain linear effect over time, but the intercept difference is large. v0 is used to represent the intercept with a large difference.

[0039] The principle for estimating the voltage difference of lithium-ion battery cells at full charge is to analyze data from at least 10 satellites (over a four-year dataset per satellite) to identify three key characteristics of the voltage difference of lithium-ion battery cells at full charge: 1) the voltage difference exhibits a certain degree of linearity over time; 2) the intercept of the linear fit varies significantly across different satellites; and 3) the onset of discrete deviations in cell performance varies significantly across different satellites. Incorporating these three characteristics into ΔU = f1(t, v0) allows for a more accurate and precise estimation of the voltage dispersion of the cells.

[0040] In some embodiments, the functional relationship between the maximum voltage difference and time can be corrected based on the historical voltage data of each single cell in the lithium battery pack when it is fully charged and placed in a standby state or fully charged and discharged, to obtain ΔU m =f1(t)+f2(t), where ΔU m is the functional relationship between the corrected maximum voltage difference and time, and f2(t) is the functional relationship between the maximum voltage difference correction value and time. Furthermore, the functional relationship between the maximum voltage difference correction value and time, f2(t), can be obtained by using a curve fitting method to fit the maximum voltage difference of each single cell in the lithium battery pack over time when it is fully charged and left idle or fully charged and discharged.

[0041] For example, the maximum voltage difference estimation of the lithium battery pack in a non-fully charged state (such as in a fully charged and stored state or in a fully charged and stored state) is carried out based on the voltage difference estimation in the fully charged state. Based on the function f1(t), according to the two-dimensional array of the voltage difference data in the previous stored state that changes with time, the curve fitting method is used to fit the two-dimensional array to obtain Δu=f2(t), thereby obtaining the voltage difference estimation function relationship ΔU in the non-fully charged state. m =f1(t)+f2(t), further, it can be expressed as ΔU m =f1(t,v0)+f2(t).

[0042] In this embodiment, the principle of estimating the voltage difference of a lithium battery pack in a non-fully charged state is to obtain two main characteristics of the voltage difference of a lithium battery pack in a non-fully charged state through data analysis of no less than 10 satellites (more than 4 years of data sets per satellite): 1) The relationship between the voltage difference and time during a shelf cycle is a nonlinear relationship; 2) The voltage difference of a lithium battery pack in a non-fully charged state is the difference in the previous fully charged state superimposed with a nonlinear relationship ΔU m =f1(t,v0)+f2(t). Incorporating these two points into the maximum voltage difference prediction in a partially charged state allows for a more accurate and precise estimation of cell discreteness. Based on the discrete nature of lithium-ion battery packs in both fully and partially charged states, estimating the maximum voltage difference using two methods significantly improves the refinement of on-track lithium-ion battery pack management.

[0043] Figure 2 This is another flow chart of a method for estimating the voltage discreteness of a satellite lithium battery pack according to an embodiment of the present invention, referring to Figure 2In some embodiments, the method 100 may further include S210, estimating the time when the lithium battery pack reaches the equalization start threshold according to the functional relationship between the maximum voltage difference of the lithium battery pack and time, wherein the equalization start threshold is a critical value for whether to enable the equalization function of the lithium battery pack. Exemplarily, when estimating the time when the lithium battery pack reaches the equalization start threshold, T1 = g(ΔU), and f(t) = f1(t), then f(t) and g(ΔU) are a pair of inverse functions, or T1 = g(ΔU m ), let f(t)=f1(t)+f2(t), then f(t) and g(ΔU m ) is a pair of inverse functions, which provides a reference for the timing of opening the balancing switch for satellites designed with lithium battery pack balancing switches. When calculating, the balancing opening threshold and ΔU or ΔU m The difference between the maximum values ​​is used as the condition for calculating f(t), resulting in the solution t0 for f(t). It should also be noted that for medium and high-orbit satellites, the decimal places of t0 are processed according to the number of Earth shadow periods per year. For example, if there are three Earth shadow periods per year, a decimal place of t0 in [0, 1 / 3) indicates that it has passed one Earth shadow period, [1 / 3, 2 / 3) indicates that it has passed two Earth shadow periods, and [2 / 3, 1) indicates that it has passed three Earth shadow periods.

[0044] The following is a specific example to illustrate an implementation process of the voltage discreteness estimation method of this embodiment and verify the corresponding beneficial effects.

[0045] The basic conditions for this specific example are: a medium- and high-orbit satellite has an Earth shadow period of approximately 45 days and a lay-up period of 4.5 months. This means that the satellite experiences two Earth shadow periods and two lay-up periods alternating over the course of a year. A complete lay-up and recharge cycle within the lay-up period lasts approximately 11 days. The current maximum cell voltage difference in the lithium battery pack is 36mV, which is greater than the satellite's set equalization target of 20mV (ΔU0). The cell dispersion is evaluated, and the voltage dispersion of the lithium battery pack is estimated as follows:

[0046] 1) Obtain the on-track historical voltage data of the lithium battery group, which can be divided into two subsets. Data subset S1 is the voltage of the single battery in the fully charged state, and data subset S2 is the voltage of the single battery in the idle state after being fully charged.

[0047] 2) Analyze the data subset S1 and fit the data to obtain ΔU = 7.6t + 3.8, where both dimensions are mV and the dimension of t is year (representing the tth year on orbit). Here, v0 = 3.8mV.

[0048] 3) Analyze data subset S2. The relative voltage difference of the individual cells during the last complete cycle of storage and recharging (approximately 11 days, as per the input conditions) during the storage period is Δu = f2(t). Assuming the initial relative voltage difference of this cycle is 0, we obtain Δu = 12-48*((t-5) / 10)^2. Here, both the left and right dimensions are mV, and t is measured in days, representing the tth day in this cycle, with values ​​ranging from [0 to 11]. Of course, to combine this with ΔU = 7.6t + 3.8, t can also be converted to years.

[0049] 4) The maximum value of Δu is 12mV. When ΔU reaches 48mV in a fully charged state, the balancing threshold of 60mV is reached. Substituting ΔU = 48mV into ΔU = 7.6t + 3.8, we get t = 5.8 years, meaning it will take 5.8 years (6.8 years in orbit) for the voltage to be reached.

[0050] 5) According to the input conditions, each year experiences two Earth shadow periods and two standby periods, alternating between them. The decimal place in "5.8 years" is greater than 0.5, so ΔU reaches 48mV during the second Earth shadow period of that year. After the second Earth shadow period ends, ΔU reaches its maximum value of 12mV during the standby period, triggering the equalization start threshold of 60mV. The time at which ΔU reaches its maximum value of 12mV is calculated from f2(t) at t = 5. Therefore, the equalization start threshold will be reached during the first standby and recharge cycle after the second Earth shadow period in the sixth year, approximately five days after one standby and recharge cycle.

[0051] The voltage discreteness estimation method of the satellite lithium battery pack provided in this embodiment obtains the maximum voltage difference of the current lithium battery pack, and then determines whether the maximum voltage difference exceeds the consistency deviation trigger threshold. When the maximum voltage difference exceeds the consistency deviation trigger threshold, the historical voltage data set of the lithium battery pack is obtained, wherein the historical voltage data set includes the historical voltage data of each single cell in the lithium battery pack in the fully charged state. Finally, a first-order linear fitting method is used to fit the maximum voltage difference of the lithium battery pack in the fully charged state over time to obtain the functional relationship between the maximum voltage difference of the lithium battery pack and time, thereby being able to estimate the voltage discreteness of the lithium battery pack, which can provide an important reference for satellite energy system resource allocation, balanced management design, and lithium battery pack on-orbit life estimation.

[0052] Specifically, the advantages of this embodiment are mainly reflected in the following aspects: 1. It can provide a reference for whether to set up a lithium battery balancing management unit for low-cost satellites; 2. It can provide a reference for estimating the on-orbit life of the lithium battery pack and provide a reference for the design of the platform and payload working mode in the late stage of satellite on-orbit operation; 3. It can deduce the discreteness of on-orbit satellite lithium batteries and improve the depth of the current on-orbit data set of lithium battery packs, so as to better allocate satellite energy system resources and make more optimized design of balancing management.

[0053] Example 2

[0054] Figure 3 This is a schematic diagram of the structure of a voltage discreteness estimation device for a satellite lithium battery pack according to an embodiment of the present invention, with reference to Figure 3 , the device 300 shown mainly includes:

[0055] The first acquisition module 301 is configured to acquire the maximum voltage difference of the current lithium battery pack, wherein the maximum voltage difference is the maximum value of the voltage difference between every two single cells in the lithium battery pack.

[0056] In some embodiments, obtaining the maximum voltage difference of the current lithium battery pack can be achieved by first obtaining the voltage of each single cell in the lithium battery pack, and then obtaining the voltage difference between every two single cells, wherein the maximum value of the voltage difference between every two single cells is the maximum voltage difference.

[0057] The first judgment module 302 is configured to judge whether the maximum voltage difference exceeds a consistency deviation trigger threshold, wherein the consistency deviation trigger threshold is a predetermined voltage difference value.

[0058] The second acquisition module 303 is used to obtain a historical voltage data set of the lithium battery pack when the maximum voltage difference exceeds the consistency deviation trigger threshold, wherein the historical voltage data set includes historical voltage data of each of the single cells in the lithium battery pack under a fully charged state.

[0059] In some embodiments, a historical voltage dataset of a lithium battery pack is obtained, wherein the historical voltage dataset further includes historical voltage data of each single cell in the lithium battery pack in a fully charged and idle state or a fully charged and discharged state.

[0060] The fitting module 304 is used to fit the change of the maximum voltage difference of the lithium battery pack in the fully charged state with time using a first-order linear fitting method to obtain a functional relationship ΔU=f1(t) between the maximum voltage difference of the lithium battery pack and time, where ΔU is the maximum voltage difference and t is time.

[0061] In some embodiments, the functional relationship between the maximum voltage difference and time can be corrected based on the historical voltage data of each single cell in the lithium battery pack when it is fully charged and placed in a standby state or fully charged and discharged, to obtain ΔU m =f1(t)+f2(t), where ΔU m is the functional relationship between the corrected maximum voltage difference and time, and f2(t) is the functional relationship between the maximum voltage difference correction value and time.

[0062] In some embodiments, the functional relationship f2(t) between the maximum voltage difference correction value and time is obtained by fitting the maximum voltage difference of each single battery in the lithium battery pack with time in a fully charged and stored state or a fully charged and discharged state using a curve fitting method.

[0063] Figure 4 This is another structural diagram of a voltage discreteness estimation device for a satellite lithium battery pack according to an embodiment of the present invention, referring to Figure 4 The device 300 shown may further include a second judgment module 401, which is used to estimate the time when the lithium battery pack reaches the equalization start threshold based on the functional relationship between the maximum voltage difference of the lithium battery pack and time, wherein the equalization start threshold is a critical value for whether to turn on the lithium battery pack equalization function.

[0064] The details of other operations performed by each module in this embodiment can be referred to the aforementioned embodiments and will not be elaborated here.

[0065] The voltage discreteness estimation device of the satellite lithium battery pack provided in this embodiment obtains the maximum voltage difference of the current lithium battery pack, and then determines whether the maximum voltage difference exceeds the consistency deviation trigger threshold. When the maximum voltage difference exceeds the consistency deviation trigger threshold, the historical voltage data set of the lithium battery pack is obtained, wherein the historical voltage data set includes the historical voltage data of each single cell in the lithium battery pack in the fully charged state. Finally, a first-order linear fitting method is used to fit the maximum voltage difference of the lithium battery pack in the fully charged state with time, and the functional relationship between the maximum voltage difference of the lithium battery pack and time is obtained. Then, the voltage discreteness of the lithium battery pack can be estimated, which can provide an important reference for satellite energy system resource allocation, balanced management design, and lithium battery pack on-orbit life estimation.

[0066] In the embodiments of the present application, a device for estimating voltage dispersion of a satellite lithium battery pack can be a device, or a component, integrated circuit, or chip in a terminal. In the embodiments of the present application, a device for estimating voltage dispersion of a satellite lithium battery pack can be a device having an operating system. The operating system can be an Android operating system, an iOS operating system, or other possible operating systems, and the embodiments of the present application do not specifically limit this.

[0067] The present application also provides an electronic device, comprising: a memory for storing programs or instructions executable by a processor; and a processor for executing the above-mentioned programs or instructions to implement the various processes of the above-mentioned embodiment of the voltage discreteness estimation method of the satellite lithium battery pack, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0068] Figure 5is a schematic diagram of an electronic device according to an embodiment of the present invention. Electronic device 500 may include an internal communication bus 501, a processor 502, a read-only memory (ROM) 503, a random access memory (RAM) 504, and a communication port 505. When used in a personal computer, electronic device 500 may also include a hard disk 506. The internal communication bus 501 enables data communication between components of electronic device 500. Processor 502 can make decisions and issue prompts. In some embodiments, processor 502 may be composed of one or more processors. Communication port 505 enables data communication between electronic device 500 and the outside world. In some embodiments, electronic device 500 can send and receive information and data from a network via communication port 505. Electronic device 500 may also include various forms of program storage units and data storage units, such as a hard disk 506, a read-only memory (ROM) 503, and a random access memory (RAM) 504, capable of storing various data files used for computer processing and / or communication, as well as possible programs or instructions executed by processor 502. The result processed by the processor 502 is transmitted to the user equipment through the communication port 505 and displayed on the user interface.

[0069] The above-mentioned satellite lithium battery pack voltage dispersion estimation method can be implemented as a computer program, stored in the hard disk 506, and recorded in the processor 502 for execution to implement any satellite lithium battery pack voltage dispersion estimation method in this application.

[0070] An embodiment of the present application also provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, the various processes of the above-mentioned embodiment of the voltage discreteness estimation method of the satellite lithium battery pack are implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0071] The processor is the processor in the electronic device in the above embodiment. The readable storage medium includes a computer-readable storage medium, such as a computer read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0072] A computer-readable medium may include a propagated data signal embodying computer program code, for example, in baseband or as part of a carrier wave. The propagated signal may be in a variety of forms, including electromagnetic, optical, etc., or a suitable combination thereof. A computer-readable medium may be any computer-readable medium other than a computer-readable storage medium that can be connected to an instruction execution system, apparatus, or device to communicate, propagate, or transmit the program for use. The program code on the computer-readable medium may be transmitted via any suitable medium, including radio, cable, fiber optic cable, radio frequency signal, or similar medium, or any combination of the above.

[0073] It will be apparent to those skilled in the art that the above disclosure is merely illustrative and does not constitute a limitation of the present application. Although not expressly stated herein, those skilled in the art may make various modifications, improvements, and amendments to the present application. Such modifications, improvements, and amendments are suggested in the present application and therefore remain within the spirit and scope of the exemplary embodiments of the present application.

[0074] At the same time, this application uses specific terms to describe the embodiments of this application. For example, "one embodiment," "an embodiment," and / or "some embodiments" refer to a certain feature, structure, or characteristic related to at least one embodiment of this application. Therefore, it should be emphasized and noted that "one embodiment," "an embodiment," or "an alternative embodiment" mentioned twice or multiple times in different locations in this specification does not necessarily refer to the same embodiment. In addition, certain features, structures, or characteristics in one or more embodiments of this application may be appropriately combined.

[0075] Some aspects of the present application can be performed entirely by hardware, entirely by software (including firmware, resident software, microcode, etc.), or by a combination of hardware and software. The above hardware or software can be referred to as "data blocks", "modules", "engines", "units", "components" or "systems". The processor can be one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DAPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), processors, controllers, microcontrollers, microprocessors or combinations thereof. In addition, various aspects of the present application may be expressed as computer products located in one or more computer-readable media, which include computer-readable program code. For example, computer-readable media may include, but are not limited to, magnetic storage devices (e.g., hard disks, floppy disks, tapes...), optical disks (e.g., compact disks CDs, digital versatile disks DVDs...), smart cards, and flash memory devices (e.g., cards, sticks, key drives...).

[0076] Similarly, it should be noted that, in order to simplify the presentation of this application and thus facilitate understanding of one or more embodiments of the invention, the foregoing descriptions of the embodiments of this application sometimes combine multiple features into a single embodiment, figure, or description thereof. However, this disclosure method does not mean that the subject matter of this application requires more features than those recited in the claims. In fact, an embodiment may have fewer features than all of the features of a single embodiment disclosed above.

[0077] In some embodiments, numbers are used to describe the quantity of components and attributes. It should be understood that such numbers used in the description of the embodiments are modified by the modifiers "about", "approximately" or "substantially" in some examples. Unless otherwise stated, "about", "approximately" or "substantially" indicate that the numbers are allowed to vary by ±20%. Accordingly, in some embodiments, the numerical parameters used in the description and claims are approximate values, which may change according to the required features of individual embodiments. In some embodiments, the numerical parameters should take into account the specified significant digits and adopt the general method of retaining digits. Although the numerical domains and parameters used to confirm the breadth of their range in some embodiments of the present application are approximate values, in specific embodiments, the settings of such numerical values ​​are as accurate as possible within the feasible range.

[0078] Although the present application has been described with reference to the current specific embodiments, ordinary technicians in this technical field should recognize that the above embodiments are only used to illustrate the present application, and various equivalent changes or substitutions can be made without departing from the spirit of the present application. Therefore, as long as the changes and modifications to the above embodiments are within the scope of the essential spirit of the present application, they will fall within the scope of the claims of the present application.

Claims

1. A method for estimating voltage discreteness of a satellite lithium battery pack, characterized in that: include: Obtaining a maximum voltage difference of the current lithium battery pack, wherein the maximum voltage difference is the maximum value of the voltage difference between every two single cells in the lithium battery pack; determining whether the maximum voltage difference exceeds a consistency deviation trigger threshold, wherein the consistency deviation trigger threshold is a predetermined voltage difference value; When the maximum voltage difference exceeds the consistency deviation trigger threshold, obtaining a historical voltage data set of the lithium battery pack, wherein the historical voltage data set includes historical voltage data of each of the single cells in the lithium battery pack in a fully charged state; The first-order linear fitting method is used to fit the maximum voltage difference of the lithium battery pack in the fully charged state with time, and the functional relationship between the maximum voltage difference of the lithium battery pack and time is obtained as ΔU=f1(t), where ΔU is the maximum voltage difference and t is time.

2. The voltage discreteness estimation method of a satellite lithium battery pack according to claim 1, wherein: A historical voltage data set of the lithium battery pack is obtained, wherein the historical voltage data set further includes historical voltage data of each of the single cells in the lithium battery pack in a fully charged and idle state or a fully charged and discharged state.

3. The voltage discreteness estimation method of a satellite lithium battery pack according to claim 2, characterized in that: Also includes: Based on the historical voltage data of each single cell in the lithium battery pack in the standby state after full charge or the discharge state after full charge, the functional relationship between the maximum voltage difference and time is corrected to obtain ΔU m =f1(t)+f2(t), where ΔU m is the functional relationship between the corrected maximum voltage difference and time, and f2(t) is the functional relationship between the maximum voltage difference correction value and time.

4. The voltage discreteness estimation method of a satellite lithium battery pack according to claim 3, characterized in that: The functional relationship f2(t) between the maximum voltage difference correction value and time is obtained by fitting the change of the maximum voltage difference of each single battery in the lithium battery pack with time in the standby state after full charge or in the discharge state after full charge using a curve fitting method.

5. The voltage discreteness estimation method of a satellite lithium battery pack according to claim 1, wherein: Also includes: The time when the lithium battery pack reaches a balancing start threshold is estimated based on a functional relationship between the maximum voltage difference of the lithium battery pack and time, wherein the balancing start threshold is a critical value for whether to start a balancing function of the lithium battery pack.

6. A voltage discreteness estimation device for a satellite lithium battery pack, characterized in that: include: A first acquisition module is configured to acquire a maximum voltage difference of the current lithium battery pack, wherein the maximum voltage difference is a maximum value of a voltage difference between every two single cells in the lithium battery pack; a first judging module, configured to judge whether the maximum voltage difference exceeds a consistency deviation triggering threshold, wherein the consistency deviation triggering threshold is a predetermined voltage difference value; a second acquisition module, configured to acquire, when the maximum voltage difference exceeds the consistency deviation trigger threshold, a historical voltage dataset of the lithium battery pack, wherein the historical voltage dataset comprises historical voltage data of each of the single cells in the lithium battery pack under a fully charged state; The fitting module is used to fit the change of the maximum voltage difference of the lithium battery pack in the fully charged state with time using a first-order linear fitting method to obtain a functional relationship ΔU=f1(t) between the maximum voltage difference of the lithium battery pack and time, where ΔU is the maximum voltage difference and t is time.

7. The voltage dispersion estimation device for a satellite lithium battery pack according to claim 6, wherein: It also includes a second judgment module for estimating the time when the lithium battery pack reaches the equalization start threshold based on the functional relationship between the maximum voltage difference of the lithium battery pack and time, wherein the equalization start threshold is the critical value for whether to turn on the lithium battery pack equalization function.

8. An electronic device, characterized in that: include: A processor and a memory, wherein the memory stores a program or instruction that can be run on the processor, and when the program or instruction is executed by the processor, the steps of the voltage discreteness estimation method of the satellite lithium battery pack as described in any one of claims 1 to 5 are implemented.

9. A readable storage medium, characterized in that The readable storage medium stores a program or instruction, and when the program or instruction is executed by the processor, the steps of the voltage discreteness estimation method of the satellite lithium battery pack as described in any one of claims 1 to 5 are implemented.

Images