Management operation system for lithium battery

Abstract

The invention discloses a management operation system for a lithium battery, and the system comprises the steps: obtaining a historical use record of the lithium battery, carrying out the analysis, obtaining an estimated duration attenuation ratio, judging the health condition of the lithium battery according to the estimated duration attenuation ratio, marking the lithium battery as a healthy lithium battery or an abnormal lithium battery, and carrying out the management operation of the lithium battery based on the marked healthy lithium battery. The power consumption of the lithium battery in the working state in the historical time is obtained, the remaining power of the lithium battery at the current time is obtained in real time, the obtained data is processed, the estimated remaining use duration of the lithium battery is obtained, and the power state of the battery is evaluated. Whether the lithium battery can continue to work or not is judged, a use stopping signal or a normal use signal is generated, the lithium battery is classified and marked based on the generated signal and the use state of the lithium battery, the battery to be processed is analyzed, the system information of the battery to be processed is obtained and analyzed, the optimal processing path is selected for a user, and the use experience of the user is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of batteries, and in particular to a management and operation system for lithium batteries. Background Art

[0002] With the rapid development of new energy technologies, lithium batteries have been widely used in electric vehicles, energy storage power stations, portable electronic devices and other fields due to their advantages such as high energy density, long cycle life and environmental friendliness. In practical applications, the management and operation of lithium batteries, such as leasing and use, face a series of problems, which directly affect the battery efficiency and user experience.

[0003] In the prior art, traditional methods mostly rely on a simple battery percentage display, but this method often cannot accurately reflect the actual power consumption of the battery under different usage conditions, and it is difficult to achieve real-time remaining power management and estimate the remaining usage time, thereby providing users with more reliable battery usage information. Secondly, the classification marking of the lithium battery usage status in the prior art lacks intelligence and cannot be dynamically adjusted according to the actual status of the battery, which affects the battery management efficiency. At the same time, when the lithium battery being used by the user is low on power, the existing system lacks comprehensive acquisition and analysis of the location information of the lithium battery return point and the lithium battery charging station in the system, and cannot provide the user with the optimal processing path. In addition, as the lithium battery is used for a longer time, its performance gradually decays, but the existing system lacks an efficient health status judgment mechanism and cannot promptly identify and recycle abnormal batteries, posing a hidden danger to the safe operation of the equipment.

[0004] In view of the above problems, the present invention proposes a management and operation system for lithium batteries. Summary of the invention

[0005] The object of the present invention is to provide a management and operation system for lithium batteries to solve at least one of the above-mentioned problems in the prior art.

[0006] The present invention provides a management and operation system for lithium batteries, comprising:

[0007] Health assessment processing module: obtains and analyzes the historical usage records of lithium batteries to obtain the estimated time attenuation ratio of lithium batteries, judges the health status of lithium batteries based on the estimated time attenuation ratio, and marks the lithium batteries as healthy lithium batteries or abnormal lithium batteries;

[0008] Battery monitoring and analysis module: Based on the marked healthy lithium battery, obtain the historical usage record of the lithium battery and the power consumed by the lithium battery when it is in working state during the historical time. The working state includes the user use state and the idle state. At the same time, obtain the remaining power of the lithium battery at the current time in real time, process the obtained data, and obtain the estimated remaining use time of the lithium battery;

[0009] Power state judgment module: evaluates the battery power state based on the estimated remaining usage time, determines whether the lithium battery can continue to work, and generates a stop use signal or a normal use signal;

[0010] Battery status classification module: obtains the working status of the lithium battery at the current time, and classifies and marks the lithium battery into batteries to be charged, batteries to be processed, normal idle batteries, and normal working batteries based on the generated signal and the working status of the lithium battery;

[0011] Processing path analysis module: analyzes the battery to be processed and obtains system information of the battery to be processed, including the distance between the battery to be processed and the lithium battery return point and lithium battery charging station in the system, and the estimated remaining usage time of the normal idle battery in the lithium battery return point. The system information is analyzed to select the optimal processing path for the user.

[0012] Beneficial effects of the present invention:

[0013] 1. Obtain and analyze the historical usage records of lithium batteries, accurately evaluate the health status of batteries, effectively distinguish healthy lithium batteries from abnormal lithium batteries, and improve the accuracy and safety of battery management. At the same time, based on the data of healthy lithium batteries, combined with historical power consumption and real-time remaining power, it can scientifically estimate the remaining use time of lithium batteries, providing a reliable basis for the use and maintenance of lithium batteries. This not only helps to avoid safety hazards caused by excessive use of lithium batteries, but also optimizes lithium battery use strategies, extends lithium battery life, ensures stable operation of equipment, and improves overall operational efficiency.

[0014] 2. Real-time monitoring of the working status of lithium batteries, and accurate classification of them into batteries to be charged, batteries to be processed, batteries in normal idle state and batteries in normal working state, realizes the refined management of lithium battery resources. Based on the system information analysis of batteries to be processed, the optimal processing path is planned for users, which not only improves the efficiency of lithium battery return and charging, but also significantly improves the user experience. This innovative model helps to reduce user waiting time and optimize the battery use process. At the same time, it promotes the rational allocation and efficient utilization of lithium battery resources, and provides strong support for green travel and energy management. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in 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 only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0016] Figure 1 is a flow chart of a management and operation system for lithium batteries provided by an embodiment of the present invention;

[0017] Figure 2 This is a flow chart of the steps for obtaining the estimated remaining usage time in a management and operation system for lithium batteries provided in Example 1 of the present invention. DETAILED DESCRIPTION

[0018] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme 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 only 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 should fall within the scope of protection of the present invention.

[0019] Embodiment 1

[0020] like Figure 1 and Figure 2 As shown, a management and operation system for lithium batteries provided by an embodiment of the present invention specifically includes the following modules:

[0021] Health assessment processing module: obtaining the historical usage record of the lithium battery, wherein the historical usage record of the lithium battery includes the time when the lithium battery is in the working state and the charging state, wherein the working state also includes the user use state and the idle placement state, analyzing the historical usage record of the lithium battery to obtain the estimated time decay ratio, judging the health status of the lithium battery according to the estimated time decay ratio and marking the lithium battery as a healthy lithium battery or an abnormal lithium battery;

[0022] In some embodiments, based on any lithium battery in the system;

[0023] Obtaining a historical usage record of the lithium battery, wherein the historical usage record represents a usage record of the lithium battery in a historical period, including: the time when the lithium battery is in a working state and a charging state, wherein the working state also includes a user use state and an idle placement state;

[0024] During the use of lithium batteries, due to the chemical reaction between lithium ions and the positive electrode materials of the battery during the cyclic charge and discharge process, the loss of active substances and the destruction of the structure will occur. Therefore, the capacity of lithium batteries will gradually decrease with the increase of usage time and the difference in usage conditions, that is, the capacity of lithium batteries will decay;

[0025] Further analyze the capacity attenuation of the lithium battery. Specifically, evenly divide the historical time into several monitoring cycles, where the monitoring cycle represents a fixed time period for monitoring the working status of the lithium battery.

[0026] Obtain the duration of the lithium battery being in use by the user during the monitoring period, and perform a ratio process on the duration with the total duration of the monitoring period to obtain a probability value of lithium battery use during the monitoring period;

[0027] The ratio of the lithium battery usage probability value in the monitoring cycle closest to the current time to the previous monitoring cycle is processed to obtain the estimated lithium battery attenuation ratio, which is marked as BS.

[0028] Compare the estimated time decay ratio BS of the lithium battery with the time decay ratio threshold;

[0029] If the estimated time decay ratio of the lithium battery is less than or equal to the time decay ratio threshold, the lithium battery is judged to be in a healthy state and marked as a healthy lithium battery;

[0030] If the estimated time decay ratio of the lithium battery is greater than the time decay ratio threshold, the lithium battery is judged to be in an unhealthy state and marked as an abnormal lithium battery;

[0031] Locate the marked abnormal lithium batteries, obtain their locations, and arrange staff to recycle the abnormal lithium batteries, and inspect or replace the recycled lithium batteries to prevent potential safety hazards from reducing the user experience;

[0032] Battery monitoring and analysis module: Based on the marked healthy lithium battery, obtain the historical usage record of the lithium battery and the power consumed by the lithium battery when it was in working state during the historical time, and obtain the remaining power of the lithium battery at the current time in real time, process the obtained data, and obtain the estimated remaining usage time of the lithium battery;

[0033] In some embodiments, based on any lithium battery in the system;

[0034] Obtain the historical usage record of the lithium battery, and mark the time when the lithium battery is in a working state in the historical usage record as a working period, and the time when the lithium battery is in a charging state as a charging period, wherein the time when the lithium battery is in a user-used state during the working period is marked as a use period, and the time when the lithium battery is in an idle state is marked as an idle period;

[0035] like Figure 2 As shown, the specific method for obtaining the estimated remaining usage time is:

[0036] The duration of the use period in all working periods in the historical time is obtained and summed up to obtain the total usage time of the lithium battery in the historical time, marked as TS; the duration of the idle period in all working periods in the historical time is obtained and summed up to obtain the total idle time of the lithium battery in the historical time, marked as TK;

[0037] By formula The probability AL that the lithium battery is in the user-used state during the working period in the historical time is calculated. Since there are only two states in the working period, the user-used state and the idle state, the probability that the lithium battery is in the idle state during the working period in the historical time is (1-AL);

[0038] Analyze all idle periods in the history of lithium batteries, and calculate the ratio of the power consumption of lithium batteries in the use period to the duration of the use period to obtain the energy consumption rate of lithium batteries. Sum and average the energy consumption rates of lithium batteries in all use periods in the history to obtain the average energy consumption rate, which is marked as VX.

[0039] Similarly, all idle periods in the history of the lithium battery are analyzed, and the power consumption of the lithium battery in the idle period is ratioed to the length of the idle period to obtain the idle energy consumption rate of the lithium battery. The idle energy consumption rates of all idle periods of the lithium battery in the history are summed and averaged to obtain the average idle energy consumption rate, which is marked as VK.

[0040] At the same time, the estimated time decay ratio BS of the lithium battery is obtained, and the real-time remaining power of the lithium battery at the current time is obtained, which is marked as SD;

[0041] The obtained data is processed by formula Get the estimated remaining usage time ST of the lithium battery at the current time node;

[0042] Power state judgment module: evaluates the battery power state based on the estimated remaining usage time, determines whether the lithium battery can continue to work, and generates a stop use signal or a normal use signal;

[0043] In some embodiments, an estimated remaining usage time of the lithium battery at the current time is obtained, and the obtained estimated remaining usage time is compared with a remaining usage time threshold;

[0044] If the estimated remaining usage time of the lithium battery at the current time node is less than the remaining usage time threshold, it is determined that the lithium battery cannot normally meet the user's usage needs, and a stop-use signal is generated;

[0045] If the estimated remaining usage time of the lithium battery at the current time node is greater than or equal to the remaining usage time threshold, it is determined that the lithium battery can normally meet the user's usage needs, and a normal usage signal is generated;

[0046] The technical solution of the embodiment of the present invention is: obtaining the historical usage record of the lithium battery, analyzing the historical usage record of the lithium battery to obtain an estimated time decay ratio, judging the health status of the lithium battery according to the estimated time decay ratio and marking the lithium battery as a healthy lithium battery or an abnormal lithium battery; based on the marked healthy lithium battery, obtaining the power consumed by the lithium battery when it is in a working state during the historical time, and simultaneously obtaining the remaining power of the lithium battery at the current time in real time, processing the obtained data, and obtaining the estimated remaining usage time of the lithium battery; based on the obtained estimated remaining usage time, evaluating the battery power status, judging whether the lithium battery can continue to work and generating a stop use signal or a normal use signal.

[0047] Embodiment 2

[0048] like Figure 1 As shown, a management and operation system for lithium batteries provided by an embodiment of the present invention specifically includes the following modules:

[0049] Battery status classification module: obtains the working status of the lithium battery at the current time, the working status includes the user use status and the idle placement status, and classifies and marks the lithium battery into a battery to be charged, a battery to be processed, a normal idle battery, and a normal working battery based on the generated signal and the working status of the lithium battery;

[0050] In some embodiments, obtaining a signal and an operating status generated by a lithium battery;

[0051] Based on the generated stop-use signal, if the lithium battery is in an idle state, it means that the lithium battery is not used by the user when the power is low, and the user use permission of the lithium battery is suspended, and the lithium battery is marked as a battery to be charged;

[0052] Based on the generated stop-use signal, if the lithium battery is in a user-used state, it means that the lithium battery is being used by the user when the power is low, and the user use permission of the lithium battery cannot be stopped immediately, and the lithium battery is marked as a battery to be processed;

[0053] Based on the generated normal use signal, if the lithium battery is in an idle state, it means that the lithium battery has sufficient power and is not used by the user, and the lithium battery is marked as a normal idle battery;

[0054] Based on the generated normal use signal, if the lithium battery is in a user-used state, it means that the lithium battery has sufficient power and is being used by the user, and the lithium battery is marked as a normal working battery;

[0055] Processing path analysis module: analyzes the battery to be processed and obtains system information of the battery to be processed, including the distance between the battery to be processed and the lithium battery return point and the lithium battery charging station in the system, and the estimated remaining usage time of the normal idle battery in the lithium battery return point. The system information is analyzed to select the optimal processing path for the user;

[0056] In some embodiments, the battery to be processed is analyzed, and based on any lithium battery return point in the system, the distance between the battery to be processed and the lithium battery return point is obtained, and marked as the return distance;

[0057] Compare the returned distance to the distance threshold;

[0058] If the return distance is less than the distance threshold, it is determined that the lithium battery return point is close to the location of the battery to be processed, and the lithium battery return point is marked as a short-distance return point;

[0059] Obtain all short-distance return points of the battery to be processed in the system, and analyze the short-distance return points to determine whether there are normal idle batteries in the short-distance return points;

[0060] If there is a normal idle battery in the short-distance return point, the short-distance return point will be marked as an idle return point;

[0061] Based on the marked idle return point, the estimated remaining usage time of all normal idle batteries in the idle return point is obtained, and the estimated remaining usage time of all normal idle batteries is compared and analyzed to obtain the maximum estimated remaining usage time, which is marked as KT;

[0062] It should be noted that the maximum usage time of the lithium battery refers to the time the lithium battery can be used when fully charged;

[0063] Get the return distance between the idle return point and the battery to be processed, and compare it with the distance threshold to get the return distance ratio, marked as KL;

[0064] The maximum estimated remaining usage time KT and the interval distance ratio KL are processed and the formula is used The selection priority value TL of the idle return point is obtained, where a1 is the preset proportional coefficient, a1=3.369;

[0065] It should be noted that the purpose of selecting the priority value TL is to jointly analyze the estimated remaining usage time of the normal idle batteries in the idle return point and the distance between the idle return point and the battery to be processed, and then select the optimal lithium battery return point that is close to the user and has a lithium battery that the user can replace;

[0066] The idle return points of the batteries to be processed are sorted from large to small according to the obtained selection priority values ​​and marked with serial numbers, and a return and replacement report of the batteries to be processed is generated. The serial numbers and positions of the idle return points and the estimated remaining usage time of the normal idle batteries in the idle return points are written into the return and replacement report in order and sent to the user's mobile terminal for the user to select independently;

[0067] If all return distances of the battery to be processed in the system are greater than or equal to the distance threshold, or if there are no normal idle batteries in all short-distance return points, a charging station analysis signal is generated;

[0068] Based on the generated charging station analysis signal, the distance between the battery to be processed and all lithium battery charging stations in the system is obtained, marked as the charging distance, the minimum charging distance of the battery to be processed in the system is obtained, and compared with the distance threshold;

[0069] If the minimum charging distance is less than the distance threshold, it is determined that the corresponding lithium battery charging station is close to the location of the battery to be processed, and the location of the lithium battery charging station is sent to the user's mobile terminal to remind the user to go there for charging;

[0070] If the minimum charging distance is greater than or equal to the distance threshold, it is determined that the lithium battery charging station is far away from the location of the battery to be processed, the location of the battery to be processed at this time is obtained, and staff are arranged to collect it;

[0071] The technical solution of the embodiment of the present invention is: obtaining the working status of the lithium battery at the current time, the working status including the user usage status and the idle placement status, classifying and marking the lithium battery into a battery to be charged, a battery to be processed, a normal idle battery and a normal working battery based on the generated signal and the lithium battery usage status; analyzing the battery to be processed, and obtaining the system information of the battery to be processed, the system information including the distance between the battery to be processed and the lithium battery return point and the lithium battery charging station in the system, and the estimated remaining usage time of the normal idle battery in the lithium battery return point, analyzing the system information, selecting the optimal processing path for the user, and improving the user experience.

[0072] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0073] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A management and operation system for lithium batteries, characterized in that: include: Health assessment processing module: obtains and analyzes the historical usage records of lithium batteries to obtain the estimated time attenuation ratio of lithium batteries, judges the health status of lithium batteries based on the estimated time attenuation ratio, and marks the lithium batteries as healthy lithium batteries or abnormal lithium batteries; Battery monitoring and analysis module: Based on the marked healthy lithium battery, obtain the historical usage record of the lithium battery and the power consumed by the lithium battery when it is in working state during the historical time. The working state includes the user use state and the idle state. At the same time, obtain the remaining power of the lithium battery at the current time in real time, process the obtained data, and obtain the estimated remaining use time of the lithium battery; Power state judgment module: evaluates the battery power state based on the estimated remaining usage time, determines whether the lithium battery can continue to work, and generates a stop use signal or a normal use signal; Battery status classification module: obtains the working status of the lithium battery at the current time, and classifies and marks the lithium battery into batteries to be charged, batteries to be processed, normal idle batteries, and normal working batteries based on the generated signal and the working status of the lithium battery; Processing path analysis module: analyzes the battery to be processed and obtains system information of the battery to be processed, including the distance between the battery to be processed and the lithium battery return point and lithium battery charging station in the system, and the estimated remaining usage time of the normal idle battery in the lithium battery return point. The system information is analyzed to select the optimal processing path for the user.

2. A management and operation system for lithium batteries according to claim 1, characterized in that: The specific method for judging the health status of the lithium battery is: Compare the estimated time decay ratio BS of the lithium battery with the time decay ratio threshold; If the estimated time decay ratio of the lithium battery is less than or equal to the time decay ratio threshold, the lithium battery is judged to be in a healthy state and marked as a healthy lithium battery; If the estimated time decay ratio of the lithium battery is greater than the time decay ratio threshold, the lithium battery is judged to be in an unhealthy state and is marked as an abnormal lithium battery.

3. A management and operation system for lithium batteries according to claim 2, characterized in that: The specific method for obtaining the estimated duration attenuation ratio BS is as follows: In some embodiments, based on any lithium battery in the system; Obtaining a historical usage record of the lithium battery, wherein the historical usage record represents a usage record of the lithium battery in a historical period, including: the time when the lithium battery is in a working state and a charging state, wherein the working state also includes a user use state and an idle placement state; Evenly divide the historical time into a number of monitoring cycles, where the monitoring cycle represents a fixed time period for monitoring the working status of the lithium battery; Obtain the duration of the lithium battery being in use by the user during the monitoring period, and perform a ratio process on the duration with the total duration of the monitoring period to obtain a probability value of lithium battery use during the monitoring period; The ratio of the lithium battery usage probability value in the monitoring cycle closest to the current time and the previous monitoring cycle is processed to obtain the estimated time attenuation ratio of the lithium battery, which is marked as BS.

4. A management and operation system for lithium batteries according to claim 1, characterized in that: The specific method for obtaining the estimated remaining usage time is: According to the total usage time TS and the total idle time TK, the formula The probability AL that the lithium battery is in the user-used state during the working period in the historical time is calculated. Since there are only two states in the working period, the user-used state and the idle state, the probability that the lithium battery is in the idle state during the working period in the historical time is (1-AL); Analyze all idle periods in the history of lithium batteries, and calculate the ratio of the power consumption of lithium batteries in the use period to the duration of the use period to obtain the energy consumption rate of lithium batteries. Sum and average the energy consumption rates of lithium batteries in all use periods in the history to obtain the average energy consumption rate, which is marked as VX. Similarly, all idle periods in the history of the lithium battery are analyzed, and the power consumption of the lithium battery in the idle period is ratioed to the length of the idle period to obtain the idle energy consumption rate of the lithium battery. The idle energy consumption rates of all idle periods of the lithium battery in the history are summed and averaged to obtain the average idle energy consumption rate, which is marked as VK. At the same time, the estimated time decay ratio BS of the lithium battery is obtained, and the real-time remaining power of the lithium battery at the current time is obtained, which is marked as SD; By formula Get the estimated remaining usage time ST of the lithium battery at the current time node.

5. A management and operation system for lithium batteries according to claim 4, characterized in that: The specific method for obtaining the total usage time TS and the total idle time TK is as follows: In some embodiments, based on any lithium battery in the system; Obtain the historical usage record of the lithium battery, and mark the time when the lithium battery is in a working state in the historical usage record as a working period, and the time when the lithium battery is in a charging state as a charging period, wherein the time when the lithium battery is in a user-used state during the working period is marked as a use period, and the time when the lithium battery is in an idle state is marked as an idle period; Get the duration of the use period in all working periods in the historical time and sum them up to get the total usage time of the lithium battery in the historical time, marked as TS; get the duration of the idle period in all working periods in the historical time and sum them up to get the total idle time of the lithium battery in the historical time, marked as TK.

6. A management and operation system for lithium batteries according to claim 1, characterized in that: The specific method of classifying and marking lithium batteries is as follows: In some embodiments, obtaining a signal and an operating status generated by a lithium battery; Based on the generated stop-use signal, if the lithium battery is in an idle state, it means that the lithium battery is not used by the user when the power is low, and the user use permission of the lithium battery is suspended, and the lithium battery is marked as a battery to be charged; Based on the generated stop-use signal, if the lithium battery is in a user-used state, it means that the lithium battery is being used by the user when the power is low, and the user use permission of the lithium battery cannot be stopped immediately, and the lithium battery is marked as a battery to be processed; Based on the generated normal use signal, if the lithium battery is in an idle state, it means that the lithium battery has sufficient power and is not used by the user, and the lithium battery is marked as a normal idle battery; Based on the generated normal use signal, if the lithium battery is in a user use state, it means that the lithium battery has sufficient power and is being used by the user, and the lithium battery is marked as a normal working battery.

7. A management and operation system for lithium batteries according to claim 1, characterized in that: The specific method of selecting the optimal processing path for the user is: Based on the marked idle return points, the idle return points of the batteries to be processed are sorted from large to small according to the obtained selection priority values ​​and marked with serial numbers, a return and replacement report for the batteries to be processed is generated, and the serial numbers, positions of the idle return points and the estimated remaining usage time of the normal idle batteries in the idle return points are written into the return and replacement report in order and sent to the user's mobile terminal for the user to select independently; Based on the generated charging station analysis signal, the distance between the battery to be processed and all lithium battery charging stations in the system is obtained, marked as the charging distance, the minimum charging distance of the battery to be processed in the system is obtained, and compared with the distance threshold; If the minimum charging distance is less than the distance threshold, it is determined that the corresponding lithium battery charging station is close to the location of the battery to be processed, and the location of the lithium battery charging station is sent to the user's mobile terminal to remind the user to go there for charging; If the minimum charging distance is greater than or equal to the distance threshold, it is determined that the lithium battery charging station is far away from the location of the battery to be processed, the location of the battery to be processed at this time is obtained, and staff are arranged to collect it.

8. A management and operation system for lithium batteries according to claim 7, characterized in that: The specific method of obtaining the idle return point is: Analyze the battery to be processed, and based on any lithium battery return point in the system, obtain the distance between the battery to be processed and the lithium battery return point, and mark it as the return distance; Compare the returned distance to the distance threshold; If the return distance is less than the distance threshold, it is determined that the lithium battery return point is close to the location of the battery to be processed, and the lithium battery return point is marked as a short-distance return point; Obtain all short-distance return points of the battery to be processed in the system, and analyze the short-distance return points to determine whether there are normal idle batteries in the short-distance return points; If there is a normal idle battery in the short-distance return point, the short-distance return point will be marked as an idle return point.

9. A management and operation system for lithium batteries according to claim 7, characterized in that: The specific method of obtaining the charging station analysis signal is as follows: If all return distances of the battery to be processed in the system are greater than or equal to the distance threshold, or there are no normal idle batteries in all short-distance return points, a charging station analysis signal is generated.

10. A management and operation system for lithium batteries according to claim 7, characterized in that: The specific method for obtaining the selection priority value is: Obtain the estimated remaining usage time of all normal idle batteries in the idle return point, compare and analyze the estimated remaining usage time of all normal idle batteries, and obtain the maximum estimated remaining usage time, which is marked as KT; Get the return distance between the idle return point and the battery to be processed, and compare it with the distance threshold to get the return distance ratio, marked as KL; The obtained maximum estimated remaining usage time KT and the interval distance ratio KL are processed, and the selection priority value TL of the idle return point is calculated by the formula.

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