CN118501716B - A method and system for predicting the aging state of a sodium ion battery - Google Patents

Abstract

The invention discloses a method and a system for predicting the aging state of a sodium ion battery, wherein each interval time ratio is adopted to divide a third preset time period into at least one preset time sub-period to obtain at least one interval sub-time value, the analog division of the process of standing the sodium ion battery into a plurality of time phases of actual discharge capacity change is realized, the discharge environment of the sodium ion battery can be simulated as much as possible, then the aging value is multiplied by at least one interval sub-time value to obtain a first result, the first result is multiplied by the corresponding capacity dropping speed ratio, and the multiplied results are overlapped to obtain a target aging value. Compared with the traditional measurement mode that the aging value is measured after the charge and discharge are repeatedly carried out, the efficiency of the aging state prediction is quickened on the premise that the obtained aging value is ensured to be accurate as much as possible.

Description

A method and system for predicting the aging state of a sodium ion battery

Technical Field

The present invention belongs to the technical field of sodium ion battery state prediction, and in particular relates to a method and system for predicting the aging state of a sodium ion battery.

Background Art

Compared with lithium, sodium salt reserves are abundant and the extraction process is mature. At the same time, sodium and lithium have similar electrochemical properties as elements of the same family. Therefore, research on sodium-ion batteries has gradually become a new hot spot in recent years. As an electrochemical storage device, sodium-ion batteries have various side reactions during their operation. The occurrence of these side reactions will not only cause battery aging, but also cause safety accidents. Therefore, based on the characteristics of sodium-ion batteries, it is important to predict the aging state of sodium-ion batteries and ensure their safe use.

In the prior art, a method of measuring the aging value after repeated charge and discharge is adopted, and then the aging state of the sodium ion battery is predicted based on the measured aging value. However, the measurement time is long, which further affects the efficiency of the aging state prediction of the sodium ion battery.

Summary of the invention

The present invention provides a method and system for predicting the aging state of a sodium ion battery, which are used to solve the technical problem that the measurement time is long and affects the prediction efficiency of the aging state of the sodium ion battery.

In a first aspect, the present invention provides a method for predicting the aging state of a sodium ion battery, comprising:

Obtaining the actual discharge capacity of the sodium ion battery after each cycle within a first preset time period, and sorting each actual discharge capacity based on a chronological order to obtain an actual discharge capacity sequence;

Calculate the actual capacity drop rate between any two adjacent actual discharge capacities in the actual discharge capacity sequence, and construct an actual capacity drop rate sequence, wherein the actual capacity drop rate is the ratio of the absolute value of the difference between any two adjacent actual discharge capacities to the interval time between any two adjacent actual discharge capacities;

Determine whether each actual capacity drop speed of the actual capacity drop speed sequence is greater than a preset threshold;

If all are not greater than the preset threshold, then the target capacity drop speed corresponding to each actual capacity drop speed and the interval time corresponding to each actual capacity drop speed are obtained;

Obtaining a first voltage value of the sodium ion battery after being discharged for a second preset time period based on a preset discharge condition, and a second voltage value after being left standing for a third preset time period, wherein the preset discharge condition is to discharge the sodium ion battery at a preset discharge rate until the voltage of the sodium ion battery reaches a set value;

Calculating an aging value of the sodium ion battery according to the first voltage value and the second voltage value;

According to each actual capacity drop speed, the target capacity drop speed corresponding to each actual capacity drop speed, and the interval time corresponding to each actual capacity drop speed, the aging value is corrected using a preset correction rule to obtain a target aging value, and the current aging state of the sodium ion battery is determined according to the target aging value.

In a second aspect, the present invention provides an aging state prediction system for a sodium ion battery, comprising:

A first acquisition module is configured to acquire an actual discharge capacity of the sodium ion battery after each cycle within a first preset time period, and sort each actual discharge capacity based on a chronological order to obtain an actual discharge capacity sequence;

A first calculation module is configured to calculate an actual capacity drop rate between any two adjacent actual discharge capacities in an actual discharge capacity sequence, and construct an actual capacity drop rate sequence, wherein the actual capacity drop rate is a ratio of an absolute value of a difference between any two adjacent actual discharge capacities to a time interval between any two adjacent actual discharge capacities;

A judgment module, configured to judge whether each actual capacity drop speed of the actual capacity drop speed sequence is greater than a preset threshold;

The second acquisition module is configured to acquire the target capacity drop speed corresponding to each actual capacity drop speed and the interval time corresponding to each actual capacity drop speed if all of them are not greater than a preset threshold;

A third acquisition module is configured to acquire a first voltage value of the sodium ion battery after being discharged for a second preset time period based on a preset discharge condition, and a second voltage value after being left standing for a third preset time period, wherein the preset discharge condition is to discharge the sodium ion battery at a preset discharge rate until the voltage of the sodium ion battery reaches a set value;

a second calculation module, configured to calculate an aging value of the sodium ion battery according to the first voltage value and the second voltage value;

The correction module is configured to correct the aging value using a preset correction rule according to each actual capacity drop speed, a target capacity drop speed corresponding to each actual capacity drop speed, and an interval time corresponding to each actual capacity drop speed to obtain a target aging value, and determine the current aging state of the sodium ion battery according to the target aging value.

In a third aspect, an electronic device is provided, comprising: at least one processor, and a memory communicatively connected to the at least one processor, wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can perform the steps of the method for predicting the aging state of a sodium ion battery of any embodiment of the present invention.

In a fourth aspect, the present invention further provides a computer-readable storage medium having a computer program stored thereon, wherein when the program instructions are executed by a processor, the processor executes the steps of the method for predicting the aging state of a sodium ion battery of any embodiment of the present invention.

The aging state prediction method and system of the sodium ion battery of the present application divide the third preset time period into at least one preset time sub-segment by using each interval time ratio to obtain at least one interval sub-time value, so as to realize the analogy division of the process of the stationary sodium ion battery into multiple time stages of actual discharge capacity change, and can simulate the discharge environment of the sodium ion battery as much as possible, and then multiply the aging value by at least one interval sub-time value to obtain a first result, and multiply the first result by the corresponding capacity drop speed ratio, and superimpose each multiplication result to obtain a target aging value. Compared with the traditional measurement method that requires repeated charging and discharging and then measuring the aging value, this method can speed up the efficiency of aging state prediction while ensuring the accuracy of the obtained aging value as much as possible.

BRIEF DESCRIPTION OF THE DRAWINGS

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

FIG1 is a flow chart of a method for predicting an aging state of a sodium ion battery provided by one embodiment of the present invention;

FIG2 is a structural block diagram of a sodium ion battery aging state prediction system provided by one embodiment of the present invention;

FIG. 3 is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention.

DETAILED DESCRIPTION

In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

Please refer to FIG1 , which shows a flow chart of a method for predicting the aging state of a sodium ion battery of the present application.

As shown in FIG1 , the method for predicting the aging state of a sodium ion battery specifically includes the following steps:

Step S101, obtaining the actual discharge capacity of the sodium ion battery after each cycle within a first preset time period, and sorting each actual discharge capacity based on the chronological order to obtain an actual discharge capacity sequence.

In this step, after each cycle discharge of the sodium ion battery, a battery testing instrument is used to obtain the actual discharge capacity at this time, and each actual discharge capacity within the first preset time period is obtained. The actual discharge capacities are sorted in chronological order according to the time when the actual discharge capacity is obtained to obtain an actual discharge capacity sequence.

For example, the actual discharge capacity sequence is, in order, actual discharge capacity A1, actual discharge capacity B1, actual discharge capacity C1, actual discharge capacity D1, and actual discharge capacity E1.

Obtain the difference and the first interval time between the moment a1 when the actual discharge capacity A1 is collected and the moment b1 when the actual discharge capacity B1 is collected, then subtract the actual discharge capacity A1 from the actual discharge capacity B1 to obtain the first difference. The first actual capacity drop rate is the ratio of the first difference to the first interval time. Similarly, the second actual capacity drop rate is the ratio of the second difference to the second interval time, the third actual capacity drop rate and the fourth actual capacity drop rate can be obtained.

Step S102, calculating the actual capacity drop rate between any two adjacent actual discharge capacities in the actual discharge capacity sequence, and constructing an actual capacity drop rate sequence, wherein the actual capacity drop rate is the ratio of the absolute value of the difference between any two adjacent actual discharge capacities to the interval time between any two adjacent actual discharge capacities.

For another example, the actual discharge capacity sequence is the actual discharge capacity A1, the actual discharge capacity B1, the actual discharge capacity C1, the actual discharge capacity D1 and the actual discharge capacity E1. The obtained actual capacity drop speed sequence is the first actual capacity drop speed, the second actual capacity drop speed, the third actual capacity drop speed and the fourth actual capacity drop speed.

Obtain the difference and the first interval time between the moment a1 when the actual discharge capacity A1 is collected and the moment b1 when the actual discharge capacity B1 is collected, then subtract the actual discharge capacity A1 from the actual discharge capacity B1 to obtain the first difference. The first actual capacity drop rate is the ratio of the first difference to the first interval time. Similarly, the second actual capacity drop rate is the ratio of the second difference to the second interval time, the third actual capacity drop rate and the fourth actual capacity drop rate can be obtained.

Step S103, determining whether each actual capacity drop speed in the actual capacity drop speed sequence is greater than a preset threshold.

In a specific embodiment, if a certain actual capacity drop speed in the actual capacity drop speed sequence is greater than a preset threshold, the certain actual capacity drop speed is removed from the actual capacity drop speed sequence to obtain an updated actual capacity drop speed sequence; the target capacity drop speed corresponding to each actual capacity drop speed in the updated actual capacity drop speed sequence and the interval time corresponding to each actual capacity drop speed in the updated actual capacity drop speed sequence are obtained.

Step S104: If all of them are not greater than the preset threshold, the target capacity drop speed corresponding to each actual capacity drop speed and the interval time corresponding to each actual capacity drop speed are obtained.

It should be noted that the target capacity drop rate is the ratio of the absolute value of the difference between any two adjacent target discharge capacities to the interval time between any two adjacent target discharge capacities.

In this step, at least one cycle number of the sodium ion battery within the first preset time period is obtained, and the target discharge capacity of the corresponding sodium ion battery is calculated according to the at least one cycle number to obtain a target discharge capacity sequence based on chronological order, wherein one cycle number corresponds to one target discharge capacity; the target capacity drop rate between any two adjacent target discharge capacities in the target discharge capacity sequence is calculated; the capacity drop rate between any two adjacent actual discharge capacities is associated with the target capacity drop rate between any two adjacent target discharge capacities at the same time node to obtain an associated relationship; and the target capacity drop rate corresponding to each actual capacity drop rate is obtained according to the associated relationship.

Specifically, the expression for calculating the target discharge capacity of the corresponding sodium ion battery is:

,

,

In the formula, is the reaction rate constant, is the activation energy of the chemical reaction, is the temperature value, is the number of cycles, is a constant for the number of cycles, is the gas constant, is the attenuation ratio of the battery capacity, is the initial capacity of the battery, is the target discharge capacity.

For example, the actual discharge capacity sequence is the actual discharge capacity A1, the actual discharge capacity B1, the actual discharge capacity C1, the actual discharge capacity D1 and the actual discharge capacity E1. The obtained actual capacity drop speed sequence is the first actual capacity drop speed, the second actual capacity drop speed, the third actual capacity drop speed and the fourth actual capacity drop speed.

The target discharge capacity sequence includes target discharge capacity A2, target discharge capacity B2, target discharge capacity C2, target discharge capacity D2 and target discharge capacity E2 in sequence. The target capacity drop speed sequence includes first target capacity drop speed, second target capacity drop speed, third target capacity drop speed and fourth target capacity drop speed in sequence.

Therefore, the first actual capacity drop speed is associated with the first target capacity drop speed to obtain a first association relationship. Similarly, the second association relationship, the third association relationship and the fourth association relationship can be obtained.

Step S105, obtaining a first voltage value of the sodium ion battery after being discharged for a second preset time period based on a preset discharge condition, and a second voltage value after being left standing for a third preset time period, wherein the preset discharge condition is to discharge the sodium ion battery at a preset discharge rate until the voltage of the sodium ion battery reaches a set value.

Specifically, the preset discharge rate may be a discharge rate of 0.4C-0.6C. The set value may be 2V-2.5V.

Step S106, calculating the aging value of the sodium ion battery according to the first voltage value and the second voltage value.

In this step, the expression for calculating the aging value of the sodium ion battery is:

,

In the formula, is the aging value of the sodium-ion battery, is the first voltage value, is the second voltage value, It is the third preset time period.

Step S107, according to each actual capacity drop speed, the target capacity drop speed corresponding to each actual capacity drop speed, and the interval time corresponding to each actual capacity drop speed, the aging value is corrected using a preset correction rule to obtain a target aging value, and the current aging state of the sodium ion battery is determined according to the target aging value.

In this step, the third preset time period is divided into at least one preset time sub-segment according to each interval time ratio, and at least one interval sub-time value is obtained, wherein each interval time ratio is the ratio of the interval time corresponding to each actual capacity drop speed to the total interval time, and the total interval time is the sum of all interval times; the aging value is multiplied by at least one interval sub-time value to obtain a first result; the first result is multiplied by the corresponding capacity drop speed ratio, and each multiplication result is superimposed to obtain a target aging value, wherein the capacity drop speed ratio is the ratio of the actual capacity drop speed to the target capacity drop speed. Finally, the current aging state of the sodium ion battery is determined according to the target aging value.

For example, the interval times corresponding to the first actual capacity drop speed, the second actual capacity drop speed, the third actual capacity drop speed and the fourth actual capacity drop speed are 2h, 2h, 4h and 4h, and the third preset time period is 10h. Therefore, the first interval sub-time value (2/12)*10, the second interval sub-time value (2/12)*10, the third interval sub-time value (4/12)*10 and the fourth interval sub-time value (4/12)*10 are obtained.

Assume that the ratio of the first actual capacity drop speed to the first target capacity drop speed is 3/10, the ratio of the second actual capacity drop speed to the second target capacity drop speed is 3/10, the ratio of the second actual capacity drop speed to the second target capacity drop speed is 2/10, and the ratio of the second actual capacity drop speed to the second target capacity drop speed is 2/10. The aging value is k=0.05.

By calculation, we can get the corrected k=[(20/12) 0.05 (3/10)]+(20/12) 0.05 (3/10)]+(20/12) 0.05 (3/10)]+(20/12) 0.05 (3/10)]=7/60.

In summary, the method of the present application uses various interval time ratios to divide the third preset time period into at least one preset time sub-segment, obtains at least one interval sub-time value, and realizes the analogy of dividing the process of the stationary sodium ion battery into multiple time stages of actual discharge capacity change, which can simulate the discharge environment of the sodium ion battery as much as possible, and then multiplies the aging value by at least one interval sub-time value to obtain a first result, and multiplies the first result by the corresponding capacity drop rate ratio, and superimposes the multiplication results to obtain a target aging value. Compared with the traditional method of repeatedly charging and discharging and then measuring the aging value, this method can speed up the efficiency of aging state prediction while ensuring the accuracy of the aging value obtained.

Please refer to FIG. 2 , which shows a structural block diagram of a sodium ion battery aging state prediction system of the present application.

As shown in FIG. 2 , the aging state prediction system 200 includes a first acquisition module 210 , a first calculation module 220 , a determination module 230 , a second acquisition module 240 , a third acquisition module 250 , a second calculation module 260 and a correction module 270 .

Among them, the first acquisition module 210 is configured to obtain the actual discharge capacity of the sodium ion battery after each cycle within the first preset time period, and sort each actual discharge capacity based on the chronological order to obtain an actual discharge capacity sequence; the first calculation module 220 is configured to calculate the actual capacity drop rate between any two adjacent actual discharge capacities in the actual discharge capacity sequence, and construct an actual capacity drop rate sequence, wherein the actual capacity drop rate is the ratio of the absolute value of the difference between any two adjacent actual discharge capacities to the interval time between any two adjacent actual discharge capacities; the judgment module 230 is configured to judge whether each actual capacity drop rate of the actual capacity drop rate sequence is greater than a preset threshold; the second acquisition module 240 is configured to obtain the target capacity drop rate corresponding to each actual capacity drop rate if they are not greater than the preset threshold, and each actual capacity drop rate. a third acquisition module 250, configured to acquire a first voltage value of the sodium ion battery after being discharged for a second preset time period based on a preset discharge condition, and a second voltage value after being left standing for a third preset time period, wherein the preset discharge condition is to discharge the sodium ion battery at a preset discharge rate until the voltage of the sodium ion battery reaches a set value; a second calculation module 260, configured to calculate an aging value of the sodium ion battery according to the first voltage value and the second voltage value; a correction module 270, configured to correct the aging value according to each actual capacity drop speed, a target capacity drop speed corresponding to each actual capacity drop speed, and an interval time corresponding to each actual capacity drop speed, using a preset correction rule to obtain a target aging value, and determine the current aging state of the sodium ion battery according to the target aging value.

It should be understood that the modules recorded in Figure 2 correspond to the steps in the method described with reference to Figure 1. Therefore, the operations and features described above for the method and the corresponding technical effects are also applicable to the modules in Figure 2 and will not be repeated here.

In some other embodiments, the embodiments of the present invention further provide a computer-readable storage medium having a computer program stored thereon, wherein when the program instructions are executed by a processor, the processor executes the method for predicting the aging state of a sodium ion battery in any of the above method embodiments;

As an implementation mode, the computer-readable storage medium of the present invention stores computer-executable instructions, and the computer-executable instructions are configured as follows:

Obtaining the actual discharge capacity of the sodium ion battery after each cycle within a first preset time period, and sorting each actual discharge capacity based on a chronological order to obtain an actual discharge capacity sequence;

Calculate the actual capacity drop rate between any two adjacent actual discharge capacities in the actual discharge capacity sequence, and construct an actual capacity drop rate sequence, wherein the actual capacity drop rate is the ratio of the absolute value of the difference between any two adjacent actual discharge capacities to the interval time between any two adjacent actual discharge capacities;

Determine whether each actual capacity drop speed of the actual capacity drop speed sequence is greater than a preset threshold;

If all are not greater than the preset threshold, then the target capacity drop speed corresponding to each actual capacity drop speed and the interval time corresponding to each actual capacity drop speed are obtained;

Obtaining a first voltage value of the sodium ion battery after being discharged for a second preset time period based on a preset discharge condition, and a second voltage value after being left standing for a third preset time period, wherein the preset discharge condition is to discharge the sodium ion battery at a preset discharge rate until the voltage of the sodium ion battery reaches a set value;

Calculating an aging value of the sodium ion battery according to the first voltage value and the second voltage value;

According to each actual capacity drop speed, the target capacity drop speed corresponding to each actual capacity drop speed, and the interval time corresponding to each actual capacity drop speed, the aging value is corrected using a preset correction rule to obtain a target aging value, and the current aging state of the sodium ion battery is determined according to the target aging value.

The computer-readable storage medium may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function; the data storage area may store data created according to the use of the sodium ion battery aging state prediction system, etc. In addition, the computer-readable storage medium may include a high-speed random access memory, and may also include a memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some embodiments, the computer-readable storage medium may optionally include a memory remotely disposed relative to the processor, and these remote memories may be connected to the sodium ion battery aging state prediction system via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

FIG3 is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. As shown in FIG3 , the device includes: a processor 310 and a memory 320. The electronic device may further include: an input device 330 and an output device 340. The processor 310, the memory 320, the input device 330 and the output device 340 may be connected via a bus or other means, and FIG3 takes the bus connection as an example. The memory 320 is the above-mentioned computer-readable storage medium. The processor 310 executes various functional applications and data processing of the server by running the non-volatile software programs, instructions and modules stored in the memory 320, that is, the aging state prediction method of the sodium ion battery of the above-mentioned method embodiment is realized. The input device 330 may receive input digital or character information, and generate key signal input related to the user settings and function control of the aging state prediction system of the sodium ion battery. The output device 340 may include a display device such as a display screen.

The electronic device can execute the method provided by the embodiment of the present invention, and has the functional modules and beneficial effects corresponding to the execution method. For technical details not described in detail in this embodiment, please refer to the method provided by the embodiment of the present invention.

As an embodiment, the electronic device is applied to a sodium ion battery aging state prediction system and is used for a client, comprising: at least one processor; and a memory connected to the at least one processor in communication; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can:

Obtaining the actual discharge capacity of the sodium ion battery after each cycle within a first preset time period, and sorting each actual discharge capacity based on a chronological order to obtain an actual discharge capacity sequence;

Calculate the actual capacity drop rate between any two adjacent actual discharge capacities in the actual discharge capacity sequence, and construct an actual capacity drop rate sequence, wherein the actual capacity drop rate is the ratio of the absolute value of the difference between any two adjacent actual discharge capacities to the interval time between any two adjacent actual discharge capacities;

Determine whether each actual capacity drop speed of the actual capacity drop speed sequence is greater than a preset threshold;

If all are not greater than the preset threshold, then the target capacity drop speed corresponding to each actual capacity drop speed and the interval time corresponding to each actual capacity drop speed are obtained;

Obtaining a first voltage value of the sodium ion battery after being discharged for a second preset time period based on a preset discharge condition, and a second voltage value after being left standing for a third preset time period, wherein the preset discharge condition is to discharge the sodium ion battery at a preset discharge rate until the voltage of the sodium ion battery reaches a set value;

Calculating an aging value of the sodium ion battery according to the first voltage value and the second voltage value;

According to each actual capacity drop speed, the target capacity drop speed corresponding to each actual capacity drop speed, and the interval time corresponding to each actual capacity drop speed, the aging value is corrected using a preset correction rule to obtain a target aging value, and the current aging state of the sodium ion battery is determined according to the target aging value.

Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM/RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods of each embodiment or some parts of the embodiment.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims (8)

1. A method for predicting the aging state of a sodium ion battery, comprising: Obtaining the actual discharge capacity of the sodium ion battery after each cycle within a first preset time period, and sorting each actual discharge capacity based on a chronological order to obtain an actual discharge capacity sequence; Calculate the actual capacity drop rate between any two adjacent actual discharge capacities in the actual discharge capacity sequence, and construct an actual capacity drop rate sequence, wherein the actual capacity drop rate is the ratio of the absolute value of the difference between any two adjacent actual discharge capacities to the interval time between any two adjacent actual discharge capacities; Determine whether each actual capacity drop speed of the actual capacity drop speed sequence is greater than a preset threshold; If all are not greater than the preset threshold, then the target capacity drop speed corresponding to each actual capacity drop speed and the interval time corresponding to each actual capacity drop speed are obtained; Obtaining a first voltage value of the sodium ion battery after being discharged for a second preset time period based on a preset discharge condition, and a second voltage value after being left standing for a third preset time period, wherein the preset discharge condition is to discharge the sodium ion battery at a preset discharge rate until the voltage of the sodium ion battery reaches a set value; Calculating an aging value of the sodium ion battery according to the first voltage value and the second voltage value; According to each actual capacity drop speed, the target capacity drop speed corresponding to each actual capacity drop speed, and the interval time corresponding to each actual capacity drop speed, the aging value is corrected by using a preset correction rule to obtain a target aging value, and the current aging state of the sodium ion battery is determined according to the target aging value, wherein according to each actual capacity drop speed, the target capacity drop speed corresponding to each actual capacity drop speed, and the interval time corresponding to each actual capacity drop speed, the aging value is corrected by using a preset correction rule to obtain the target aging value, including: Divide the third preset time period into at least one preset time sub-segment according to each interval time ratio, and obtain at least one interval sub-time value, wherein each interval time ratio is a ratio of an interval time corresponding to each actual capacity drop speed to a total interval time, and the total interval time is the sum of all interval times; multiplying the aging value by the at least one interval sub-time value to obtain a first result; The first result is multiplied by the corresponding capacity drop speed ratio, and each multiplication result is superimposed to obtain a target aging value, wherein the capacity drop speed ratio is a ratio of an actual capacity drop speed to a target capacity drop speed. 2. The method for predicting the aging state of a sodium ion battery according to claim 1, characterized in that after determining whether each actual capacity drop rate of the actual capacity drop rate sequence is greater than a preset threshold, the method further comprises: If a certain actual capacity drop speed in the actual capacity drop speed sequence is greater than a preset threshold, the certain actual capacity drop speed is removed from the actual capacity drop speed sequence to obtain an updated actual capacity drop speed sequence; The target capacity drop speed corresponding to each actual capacity drop speed in the updated actual capacity drop speed sequence and the interval time corresponding to each actual capacity drop speed in the updated actual capacity drop speed sequence are obtained. 3. The method for predicting the aging state of a sodium ion battery according to claim 1, wherein the target capacity drop rate is the ratio of the absolute value of the difference between any two adjacent target discharge capacities to the interval time between any two adjacent target discharge capacities; The obtaining of the target capacity drop speed corresponding to each actual capacity drop speed includes: Obtaining at least one cycle number of the sodium ion battery within a first preset time period, calculating a target discharge capacity of the corresponding sodium ion battery according to the at least one cycle number, and obtaining a target discharge capacity sequence based on chronological order, wherein one cycle number corresponds to one target discharge capacity; Calculating a target capacity drop rate between any two adjacent target discharge capacities in the target discharge capacity sequence; Associating the capacity drop rate between any two adjacent actual discharge capacities with the target capacity drop rate between any two adjacent target discharge capacities at the same time node to obtain an association relationship; The target capacity drop speed corresponding to each actual capacity drop speed is obtained according to the association relationship. 4. The method for predicting the aging state of a sodium ion battery according to claim 3, wherein the expression for calculating the target discharge capacity of the corresponding sodium ion battery is: , , In the formula, is the reaction rate constant, is the activation energy of the chemical reaction, is the temperature value, is the number of cycles, is a constant for the number of cycles, is the gas constant, is the attenuation ratio of the battery capacity, is the initial capacity of the battery, is the target discharge capacity. 5. The method for predicting the aging state of a sodium ion battery according to claim 1, wherein the expression for calculating the aging value of the sodium ion battery is: , In the formula, is the aging value of the sodium-ion battery, is the first voltage value, is the second voltage value, It is the third preset time period. 6. A sodium ion battery aging state prediction system, characterized in that it includes: A first acquisition module is configured to acquire an actual discharge capacity of the sodium ion battery after each cycle within a first preset time period, and sort each actual discharge capacity based on a chronological order to obtain an actual discharge capacity sequence; A first calculation module is configured to calculate an actual capacity drop rate between any two adjacent actual discharge capacities in an actual discharge capacity sequence, and construct an actual capacity drop rate sequence, wherein the actual capacity drop rate is a ratio of an absolute value of a difference between any two adjacent actual discharge capacities to a time interval between any two adjacent actual discharge capacities; A judgment module, configured to judge whether each actual capacity drop speed of the actual capacity drop speed sequence is greater than a preset threshold; The second acquisition module is configured to acquire the target capacity drop speed corresponding to each actual capacity drop speed and the interval time corresponding to each actual capacity drop speed if all of them are not greater than a preset threshold; A third acquisition module is configured to acquire a first voltage value of the sodium ion battery after being discharged for a second preset time period based on a preset discharge condition, and a second voltage value after being left standing for a third preset time period, wherein the preset discharge condition is to discharge the sodium ion battery at a preset discharge rate until the voltage of the sodium ion battery reaches a set value; a second calculation module, configured to calculate an aging value of the sodium ion battery according to the first voltage value and the second voltage value; The correction module is configured to correct the aging value according to each actual capacity drop speed, the target capacity drop speed corresponding to each actual capacity drop speed, and the interval time corresponding to each actual capacity drop speed, using a preset correction rule to obtain a target aging value, and determine the current aging state of the sodium ion battery according to the target aging value, wherein the correction of the aging value according to each actual capacity drop speed, the target capacity drop speed corresponding to each actual capacity drop speed, and the interval time corresponding to each actual capacity drop speed using a preset correction rule to obtain the target aging value includes: Divide the third preset time period into at least one preset time sub-segment according to each interval time ratio, and obtain at least one interval sub-time value, wherein each interval time ratio is a ratio of an interval time corresponding to each actual capacity drop speed to a total interval time, and the total interval time is the sum of all interval times; multiplying the aging value by the at least one interval sub-time value to obtain a first result; The first result is multiplied by the corresponding capacity drop speed ratio, and each multiplication result is superimposed to obtain a target aging value, wherein the capacity drop speed ratio is a ratio of an actual capacity drop speed to a target capacity drop speed. 7. An electronic device, characterized in that it comprises: at least one processor, and a memory communicatively connected to the at least one processor, wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the method described in any one of claims 1 to 5. 8. A computer-readable storage medium having a computer program stored thereon, wherein when the program is executed by a processor, the method according to any one of claims 1 to 5 is implemented.