Lithium ion battery adaptive charging regulation and control system applied to outdoor power supply

Abstract

The invention discloses a lithium ion battery adaptive charging regulation and control system applied to an outdoor power supply, relates to the technical field of charging supervision, and realizes flexible adjustment of a charging strategy according to changes of real-time temperature and internal resistance. According to the invention, a normal voltage change interval and a normal internal resistance change interval under different charging and discharging times are obtained through historical outdoor charging records, and a real-time voltage value, a real-time temperature value and a real-time internal resistance value of a target lithium ion battery are collected at the same time; a plurality of pairs of normal voltage change intervals and normal internal resistance change intervals are matched according to the real-time voltage value and the real-time internal resistance value, then voltage interval segments are intercepted from all the normal voltage change intervals according to the real-time voltage value, all the voltage interval segments are adjusted through the real-time temperature value, and then a charging voltage curve is generated and executed.

Description

Technical Field

[0001] The present invention relates to the technical field of charging supervision, and specifically to a lithium-ion battery adaptive charging regulation system applied to an outdoor power supply. Background Art

[0002] With the popularization of electric transportation tools and portable electronic devices, as the core energy storage unit, the safety and performance of lithium-ion batteries have attracted increasing attention. The performance of lithium-ion batteries is closely related to the voltage, temperature, and internal resistance during their charging and discharging processes. Improper charging methods, especially in outdoor environments, may lead to problems such as overheating, overcharging, and abnormal increase in internal resistance of the battery, thus seriously affecting the battery life and safety.

[0003] Traditional charging management systems usually rely on fixed charging curves, which do not fully consider the characteristic changes of the battery under different charge and discharge cycles. Therefore, a lithium-ion battery adaptive charging regulation system applied to an outdoor power supply is provided. Summary of the Invention

[0004] In order to solve the above technical problems, the purpose of the present invention is to provide a lithium-ion battery adaptive charging regulation system applied to an outdoor power supply.

[0005] In order to achieve the above purpose, the present invention provides the following technical solutions:

[0006] A lithium-ion battery adaptive charging regulation system applied to an outdoor power supply includes a cloud computing platform, which is communicatively connected to a historical charging data analysis module, a charging supervision module, and a charging decision generation module;

[0007] The historical charging data analysis module pre-stores several historical outdoor charging records, and then obtains the normal voltage change range, normal internal resistance change range, internal resistance-voltage abnormal temperature range, and normal charging temperature range under different charge and discharge cycles according to the historical outdoor charging records;

[0008] The charging supervision module is communicatively connected to an outdoor charging pile, and is used to collect the real-time voltage value, real-time temperature value, and real-time internal resistance value of the target lithium-ion battery, and execute the charging voltage curve from the charging decision generation module;

[0009] The charging decision generation module is used to set the charging decision adjustment period, match several pairs of normal voltage change ranges and normal internal resistance change ranges according to the real-time voltage value and real-time internal resistance value, then intercept the voltage interval segments from each normal voltage change range according to the real-time voltage value, and adjust each voltage interval segment through the real-time temperature value, and then generate the charging voltage curve executed by the charging decision adjustment period.

[0010] Further, the generation process of the normal internal resistance change range includes:

[0011] The historical outdoor charging records include the lithium-ion battery model, the number of charge and discharge cycles, the historical internal resistance change curve, the historical temperature change curve, and the historical voltage change curve;

[0012] Set up a two-dimensional coordinate system, map the historical internal resistance change curves with the same lithium-ion battery model and the same number of charge and discharge cycles onto the same two-dimensional coordinate system, and set different curve starting coordinates for each historical internal resistance change curve in the two-dimensional coordinate system according to the historical voltage change curve in the corresponding historical outdoor charging record;

[0013] Set several time coordinate points on the two-dimensional coordinate system, split each historical internal resistance change curve into several internal resistance curve segments according to the distribution of the time coordinate points, perform a normal distribution on the internal resistance curve segments between each two time coordinate points, and select the three internal resistance curve segments with the most occurrences to form the normal internal resistance curve segment range corresponding to the time coordinate points;

[0014] Connect the normal internal resistance curve segment ranges in sequence according to the time order to obtain the normal internal resistance change range corresponding to the lithium-ion battery model at the corresponding number of charge and discharge cycles.

[0015] Further, in the process of obtaining the normal internal resistance change range, map the historical voltage change curves with the same lithium-ion battery model and the same number of charge and discharge cycles onto the same two-dimensional coordinate system, and then obtain the normal voltage change range corresponding to the lithium-ion battery model at the corresponding number of charge and discharge cycles.

[0016] Further, the process of establishing the internal resistance-voltage abnormal temperature range and the normal charging temperature range includes:

[0017] Establish a multi-dimensional coordinate system, map the historical internal resistance change curve, the historical temperature change curve, and the historical voltage change curve in the historical outdoor charging record with the same number of charge and discharge cycles onto each two-dimensional plane of the same multi-dimensional coordinate system, select the common coordinate axis of the two-dimensional planes where each historical change curve is located as the time axis, divide several charging time points on the time axis, and perform initial coordinate point displacement according to the historical change curves on the same two-dimensional plane;

[0018] Map the normal internal resistance change range and the normal voltage change range with the same number of charge cycles onto the corresponding two-dimensional planes;

[0019] Set the internal resistance deviation threshold and the voltage deviation threshold, and then obtain the historical internal resistance change curve and the historical voltage change curve from the same historical outdoor charging record. Determine whether the internal resistance deviation value and the voltage deviation value between each charging time point and the normal internal resistance change range and the normal voltage change range are greater than or equal to the internal resistance deviation threshold and the voltage deviation threshold;

[0020] If it is determined that either the internal resistance deviation value or the voltage deviation value is greater than or equal to the corresponding internal resistance deviation threshold and voltage deviation threshold, then according to the type of judgment data, set an abnormal annotation for the temperature segment between the corresponding charging time points in the corresponding historical temperature change curve, otherwise do nothing;

[0021] Repeat the process of setting abnormal annotations for the temperature segments in the historical temperature change curve until the historical temperature change curves in all historical outdoor charging records have gone through the abnormal annotation setting process;

[0022] Integrate the temperature segments with the same number of charge and discharge cycles and the same abnormal annotation, and splice them in sequence according to the time order, and then obtain the internal resistance-voltage abnormal temperature range and the normal charging temperature range respectively.

[0023] Furthermore, the outdoor charging pile is internally provided with a temperature detection circuit, a dynamic charging voltage control circuit, and an internal resistance detection circuit;

[0024] The outdoor charging pile obtains the target lithium-ion battery model of the lithium-ion battery power supply device, and at the same time obtains the real-time voltage value, real-time temperature value, and real-time internal resistance value of the target lithium-ion battery through the dynamic charging voltage control circuit, temperature detection circuit, and internal resistance detection circuit.

[0025] Furthermore, the process of matching several pairs of normal voltage change ranges and normal internal resistance change ranges according to the real-time voltage value and the real-time internal resistance value includes:

[0026] According to the target lithium-ion battery model, obtain the normal internal resistance change range and the normal voltage change range of the target lithium-ion battery model at each charge and discharge cycle from the historical charging data analysis module;

[0027] Set the charging decision adjustment period, and the duration of the charging decision adjustment period generally ranges from 1 s to 2 s;

[0028] Before the start of the first charging decision adjustment period, set the associated deviation threshold, and sequentially match the real-time internal resistance value with the normal voltage change ranges at the charge and discharge cycles. According to the time coordinate value of the matching point, obtain the deviation difference between the internal resistance value at the corresponding time coordinate value in the normal internal resistance change range at the same charge and discharge cycle and the real-time internal resistance value;

[0029] If the deviation difference is less than or equal to the associated deviation threshold, the normal voltage change range and the normal internal resistance change range corresponding to the current charge and discharge times are retained; otherwise, they are not retained.

[0030] Furthermore, the generation process of the charging voltage curve includes:

[0031] According to the real-time voltage value, initial charging coordinate points are set in each retained normal voltage change range, and according to the time length of the charging decision adjustment period, a voltage interval segment is intercepted at the initial charging coordinate points in each normal voltage change range;

[0032] Determine which temperature range the real-time temperature value is associated with in each retained normal voltage change range. If it is within the normal charging temperature range, no operation is performed;

[0033] If it is within the internal resistance-voltage abnormal temperature range, the intercepted voltage interval segment corresponding to the current charge and discharge times is translated up and down according to the distance value between the real-time temperature value and the normal charging temperature range;

[0034] If the real-time temperature value is above the normal charging temperature range, the corresponding voltage interval segment is translated downward; if it is below, it is translated upward;

[0035] Map all the intercepted voltage interval segments to the same two-dimensional coordinate system, intercept the overlapping part of the voltage interval segments, and then select the value at the center position of the overlapping part to generate the charging voltage curve to be executed in the next charging decision adjustment period.

[0036] Furthermore, the execution process of the charging voltage curve further includes:

[0037] During the execution of the charging voltage curve, the dynamic charging voltage control circuit, the temperature detection circuit, and the internal resistance detection circuit collect the real-time voltage change curve, the real-time temperature change curve, and the real-time internal resistance change curve of the target lithium-ion battery;

[0038] Whenever a charging decision adjustment period ends, the charging decision generation module uses the process of screening the normal voltage change range and the normal internal resistance change range before the start of the first charging decision adjustment period to perform a secondary screening of the normal voltage change range and the normal internal resistance change range retained in the previous charging decision adjustment period according to the real-time voltage change curve and the real-time internal resistance change curve. Stop the screening process of subsequent charging decision adjustment periods until only one pair of the retained normal voltage change range and the normal internal resistance change range remains;

[0039] When the screening process ends, according to the real-time voltage value of the target lithium-ion battery at the end of the previous charging decision adjustment cycle, a voltage interval segment is intercepted from the reserved normal voltage change interval, and then the position of each voltage interval segment is adjusted according to the real-time temperature change curve, and then the corresponding charging voltage curve is generated and executed.

[0040] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0041] 1. By obtaining the real-time voltage value, real-time temperature value and real-time internal resistance value of the target lithium-ion battery in real time, the present invention can generate a charging voltage curve in real time during the charging process, thus effectively avoiding safety problems such as overcharging and overheating, and significantly improving the safety of the charging process.

[0042] 2. The present invention matches several pairs of normal voltage change intervals and normal internal resistance change intervals according to the real-time voltage value and real-time internal resistance value, and then intercepts a voltage interval segment from each normal voltage change interval according to the real-time voltage value, and adjusts each voltage interval segment through the real-time temperature value, and then generates a charging voltage curve and executes it, which to a certain extent avoids battery damage caused by traditional fixed curves and effectively extends the service life of the battery. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 is the schematic diagram of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0044] In order to further elaborate on the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following combines the drawings and preferred embodiments to describe in detail the specific implementation manners, structures, features and effects according to the present invention.

[0045] As Figure 1 shown, a lithium-ion battery adaptation charging regulation system applied to an outdoor power supply includes a cloud computing platform, and the cloud computing platform is communicatively connected to a historical charging data analysis module, a charging supervision module and a charging decision generation module;

[0046] The historical charging data analysis module pre-stores several historical outdoor charging records, and then obtains the normal voltage change interval, normal internal resistance change interval, internal resistance-voltage abnormal temperature interval and normal charging temperature interval under different charge and discharge times according to the historical outdoor charging records;

[0047] The charging supervision module is communicatively connected to an outdoor charging pile for collecting the real-time voltage value, real-time temperature value and real-time internal resistance value of the target lithium-ion battery, and executing the charging voltage curve from the charging decision generation module;

[0048] The charging decision generation module is used to set the charging decision adjustment period, match several pairs of normal voltage change intervals and normal internal resistance change intervals according to the real-time voltage value and the real-time internal resistance value, and then intercept voltage interval segments from each normal voltage change interval according to the real-time voltage value, and adjust each voltage interval segment through the real-time temperature value, so as to generate a charging voltage curve executed by the charging decision adjustment period.

[0049] Furthermore, the working principle of the present invention will be described below through embodiments:

[0050] The historical outdoor charging records include the lithium-ion battery model, the number of charge and discharge cycles, the historical internal resistance change curve, the historical temperature change curve, and the historical voltage change curve;

[0051] The historical charging data analysis module sets up a two-dimensional coordinate system, maps the historical internal resistance change curves with the same lithium-ion battery model and the same number of charge and discharge cycles onto the same two-dimensional coordinate system, and sets different curve starting point coordinates for each historical internal resistance change curve in the two-dimensional coordinate system according to the historical voltage change curve in the corresponding historical outdoor charging record;

[0052] For example, the initial voltage values of the historical voltage change curves corresponding to two historical internal resistance change curves are 2.5V and 3V respectively, and the time point when the historical voltage change curve corresponding to the first historical internal resistance change curve reaches 3V is 10 minutes. Then, on the same two-dimensional coordinate system, the horizontal distance length of the initial coordinate points of the above two historical internal resistance change curves along the time axis is 10 minutes;

[0053] Set several time coordinate points on the two-dimensional coordinate system, split each historical internal resistance change curve into several internal resistance curve segments according to the distribution of the time coordinate points, perform normal distribution on the internal resistance curve segments between each time coordinate point, and select the three internal resistance curve segments with the most occurrences to form the normal internal resistance curve segment interval corresponding to the time coordinate point according to the normal distribution result;

[0054] Connect the normal internal resistance curve segment intervals in sequence according to the time order to obtain the normal internal resistance change interval corresponding to the lithium-ion battery model at the corresponding number of charge and discharge cycles;

[0055] Adopt the process of obtaining the normal internal resistance change interval, map the historical voltage change curves with the same lithium-ion battery model and the same number of charge and discharge cycles into the same two-dimensional coordinate system, and then obtain the normal voltage change interval corresponding to the lithium-ion battery model at the corresponding number of charge and discharge cycles.

[0056] Further, a multi-dimensional coordinate system is established. The historical internal resistance change curve, historical temperature change curve, and historical voltage change curve in the historical outdoor charging records with the same number of charge and discharge cycles are mapped onto respective two-dimensional planes of the same multi-dimensional coordinate system. The common coordinate axis of the two-dimensional planes where each historical change curve is located is selected as the time axis. A number of charging time points are divided on the time axis, and the initial coordinate points are moved according to the historical change curves on the same two-dimensional plane;

[0057] The normal internal resistance change interval and normal voltage change interval with the same number of charged times are mapped onto the corresponding two-dimensional planes;

[0058] An internal resistance deviation threshold and a voltage deviation threshold are set. Then, it is obtained whether the internal resistance deviation value and voltage deviation value between the historical internal resistance change curve and historical voltage change curve from the same historical outdoor charging record between each charging time point and the normal internal resistance change interval and normal voltage change interval are greater than or equal to the internal resistance deviation threshold and voltage deviation threshold;

[0059] If it is determined that any one of the internal resistance deviation value and voltage deviation value is greater than or equal to the corresponding internal resistance deviation threshold and voltage deviation threshold, then according to the type of judgment data, an abnormal annotation is set for the temperature segment between the corresponding charging time points in the corresponding historical temperature change curve, otherwise no operation is performed;

[0060] Repeat the above process of setting abnormal annotations for the temperature segments in the historical temperature change curve until the historical temperature change curves in all historical outdoor charging records have gone through the abnormal annotation setting process;

[0061] Integrate the temperature segments with the same number of charge and discharge cycles and the same abnormal annotation and splice them in sequence according to the time order, and then obtain the internal resistance-voltage abnormal temperature interval and the normal charging temperature interval respectively.

[0062] Further, the historical charging data analysis module sends the internal resistance-voltage abnormal temperature interval and the normal charging temperature interval of each type of lithium-ion battery under different numbers of charge and discharge cycles to the charging decision generation module;

[0063] The charging supervision module is communicatively connected to multiple outdoor charging piles. The outdoor charging piles are internally provided with a temperature detection circuit, a dynamic charging voltage control circuit, and an internal resistance detection circuit;

[0064] When a user connects a mobile phone, a new energy vehicle, or other lithium-ion battery-powered devices through a charging device, the outdoor charging pile obtains the target lithium-ion battery model of the lithium-ion battery-powered device, and at the same time obtains the real-time voltage value, real-time temperature value, and real-time internal resistance value of the target lithium-ion battery through the dynamic charging voltage control circuit, temperature detection circuit, and internal resistance detection circuit, and synchronously sends them to the charging decision generation module.

[0065] The charging decision generation module obtains the normal internal resistance change range and the normal voltage change range of the target lithium-ion battery model at each number of charge and discharge cycles from the historical charge data analysis module according to the target lithium-ion battery model;

[0066] Set a charging decision adjustment period, and the duration of the charging decision adjustment period generally ranges from 1 s to 2 s;

[0067] Before the start of the first charging decision adjustment period, set an associated deviation threshold, and sequentially match the real-time internal resistance value with the normal voltage change ranges at the number of charge and discharge cycles. According to the time coordinate value of the matching point, obtain the deviation difference between the internal resistance value at the corresponding time coordinate value of the normal internal resistance change range at the same number of charge and discharge cycles and the real-time internal resistance value;

[0068] If the deviation difference is less than or equal to the associated deviation threshold, retain the normal voltage change range and the normal internal resistance change range at the corresponding number of charge and discharge cycles, otherwise do not retain;

[0069] According to the real-time voltage value, set an initial charging coordinate point in each retained normal voltage change range, and according to the time length of the charging decision adjustment period, intercept a voltage interval segment in the initial charging coordinate point in each normal voltage change range;

[0070] Judge which temperature range the real-time temperature value is associated with in each retained normal voltage change range. If it is within the normal charging temperature range, do nothing;

[0071] If it is within the internal resistance-voltage abnormal temperature range, translate the intercepted voltage interval segment corresponding to the number of charge and discharge cycles up and down according to the distance value between the real-time temperature value and the normal charging temperature range;

[0072] If the real-time temperature value is above the normal charging temperature range, translate the corresponding voltage interval segment downward, and if it is above, translate it upward;

[0073] Map all the intercepted voltage interval segments onto the same two-dimensional coordinate system, intercept the overlapping part of the voltage interval segments, and then select the value at the center position of the overlapping part to generate the charging voltage curve to be executed in the next charging decision adjustment period, and send the charging voltage curve to the charging supervision module.

[0074] Furthermore, the charging supervision module sends the charging voltage curve to the outdoor charging pile, and then the outdoor charging pile performs a charging operation on the target lithium-ion battery by executing the charging voltage curve through the dynamic charging voltage control circuit;

[0075] During the execution of the charging voltage curve, the dynamic charging voltage control circuit, the temperature detection circuit, and the internal resistance detection circuit collect the real-time voltage change curve, the real-time temperature change curve, and the real-time internal resistance change curve of the target lithium-ion battery, and synchronize the real-time voltage change curve, the real-time temperature change curve, and the real-time internal resistance change curve to the charging decision generation module;

[0076] Whenever a charging decision adjustment cycle ends, the charging decision generation module uses the process of screening the normal voltage change range and the normal internal resistance change range before the start of the first charging decision adjustment cycle, and performs secondary screening on the normal voltage change range and the normal internal resistance change range retained in the previous charging decision adjustment cycle according to the real-time voltage change curve and the real-time internal resistance change curve. Stop the screening process of the subsequent charging decision adjustment cycle until only one pair remains in the retained normal voltage change range and the normal internal resistance change range;

[0077] When the screening process ends, according to the real-time voltage value of the target lithium-ion battery at the end of the previous charging decision adjustment cycle, intercept the voltage interval segment from the retained normal voltage change range, and then adjust the positions of the voltage interval segments according to the real-time temperature change curve, thereby generating the corresponding charging voltage curve and executing it;

[0078] Repeat the process of generating and executing the charging voltage curve for each charging decision adjustment cycle until the target lithium-ion battery disconnects from the outdoor charging pile or the real-time voltage value remains unchanged.

[0079] The above is only a preferred embodiment of the present invention, and it does not impose any form of limitation on the present invention. Although the present invention has been disclosed as above with a preferred embodiment, it is not intended to limit the present invention. Any person skilled in the art can make some changes or modifications within the scope of the technical solution of the present invention to form an equivalent embodiment with equivalent changes. However, as long as it does not depart from the content of the technical solution of the present invention, any brief modification, equivalent change, and modification made to the above embodiment based on the technical essence of the present invention still fall within the scope of the technical solution of the present invention.

Claims

1. A lithium-ion battery adaptive charging regulation system applied to an outdoor power supply, including a cloud computing platform, characterized in that, The cloud computing platform is communicatively connected to a historical charging data analysis module, a charging supervision module, and a charging decision generation module; The historical charging data analysis module pre-stores a number of historical outdoor charging records, and then obtains the normal voltage change range, normal internal resistance change range, internal resistance-voltage abnormal temperature range, and normal charging temperature range under different numbers of charge and discharge cycles based on the historical outdoor charging records; The charging supervision module is communicatively connected to outdoor charging piles, and is used to collect the real-time voltage value, real-time temperature value, and real-time internal resistance value of the target lithium-ion battery, and execute the charging voltage curve from the charging decision generation module; The charging decision generation module is used to set the charging decision adjustment period, and match a number of pairs of normal voltage change ranges and normal internal resistance change ranges according to the real-time voltage value and the real-time internal resistance value. Then, voltage interval segments are intercepted from each normal voltage change range according to the real-time voltage value, and each voltage interval segment is adjusted by the real-time temperature value, and then a charging voltage curve executed by the charging decision adjustment period is generated.

2. The lithium-ion battery adaptive charging and regulation system applied to an outdoor power supply according to claim 1, wherein The generation process of the normal internal resistance change range includes: The historical outdoor charging records include lithium-ion battery models, numbers of charge and discharge cycles, historical internal resistance change curves, historical temperature change curves, and historical voltage change curves; Set up a two-dimensional coordinate system, map the historical internal resistance change curves of the same lithium-ion battery model and the same number of charge and discharge cycles to the same two-dimensional coordinate system, and set different curve starting point coordinates for each historical internal resistance change curve in the two-dimensional coordinate system according to the historical voltage change curves in the corresponding historical outdoor charging records; Set a number of time coordinate points on the two-dimensional coordinate system, and split each historical internal resistance change curve into a number of internal resistance curve segments according to the distribution of the time coordinate points. Perform normal distribution on the internal resistance curve segments between each time coordinate point, and select the three internal resistance curve segments with the most occurrences to form the normal internal resistance curve segment interval corresponding to the time coordinate point; Connect the normal internal resistance curve segment intervals in sequence according to the time sequence to obtain the normal internal resistance change range corresponding to the lithium-ion battery model at the corresponding number of charge and discharge cycles.

3. The lithium-ion battery adaptive charging control system applied to an outdoor power supply according to claim 2, wherein, Adopt the process of obtaining the normal internal resistance change range, map the historical voltage change curves of the same lithium-ion battery model and the same number of charge and discharge cycles to the same two-dimensional coordinate system, and obtain the normal voltage change range corresponding to the lithium-ion battery model at the corresponding number of charge and discharge cycles.

4. The lithium-ion battery adaptive charging control system applied to an outdoor power supply according to claim 3, wherein The establishment process of the internal resistance-voltage abnormal temperature range and the normal charging temperature range includes: Establish a multi-dimensional coordinate system, map the historical internal resistance change curve, historical temperature change curve, and historical voltage change curve in the historical outdoor charging record with the same number of charge and discharge cycles to each two-dimensional plane of the same multi-dimensional coordinate system. Select the common coordinate axis of each two-dimensional plane where the historical change curves are located as the time axis, and divide a number of charging time points on the time axis; Set the internal resistance deviation threshold and the voltage deviation threshold, and then obtain the historical internal resistance change curve and the historical voltage change curve from the same historical outdoor charging record. Determine whether the internal resistance deviation value and the voltage deviation value between each charging time point and the normal internal resistance change range and the normal voltage change range are greater than or equal to the internal resistance deviation threshold and the voltage deviation threshold; If it is determined that any one of the internal resistance deviation value and the voltage deviation value is greater than or equal to the corresponding internal resistance deviation threshold and the voltage deviation threshold, then according to the type of judgment data, set an abnormal label for the temperature segment between the corresponding charging time points in the corresponding historical temperature change curve, otherwise do nothing; Sequentially splice the temperature segments according to the time sequence, and then obtain the internal resistance-voltage abnormal temperature range and the normal charging temperature range respectively.

5. The lithium-ion battery adaptive charging and regulation system applied to an outdoor power supply according to claim 4, characterized in that, The outdoor charging pile is internally provided with a temperature detection circuit, a dynamic charging voltage control circuit, and an internal resistance detection circuit; The outdoor charging pile obtains the target lithium-ion battery model of the lithium-ion battery power supply device, and at the same time obtains the real-time voltage value, the real-time temperature value, and the real-time internal resistance value of the target lithium-ion battery through the dynamic charging voltage control circuit, the temperature detection circuit, and the internal resistance detection circuit.

6. The lithium-ion battery adaptive charging and regulation system applied to an outdoor power supply according to claim 5, wherein, The process of matching several pairs of normal voltage change ranges and normal internal resistance change ranges according to the real-time voltage value and the real-time internal resistance value includes: According to the target lithium-ion battery model, obtain its normal internal resistance change range and normal voltage change range at each charge and discharge times; Set the charging decision adjustment period. Before the start of the first charging decision adjustment period, set the associated deviation threshold, and sequentially match the real-time internal resistance value with the normal voltage change ranges at each charge and discharge times. According to the time coordinate value of the matching point, obtain the deviation difference between the internal resistance value at the corresponding time coordinate value of the normal internal resistance change range at the same charge and discharge times and the real-time internal resistance value; If the deviation difference is less than or equal to the associated deviation threshold, then retain the normal voltage change range and the normal internal resistance change range at the corresponding charge and discharge times, otherwise do not retain.

7. The lithium-ion battery adaptation charging and regulation system applied to an outdoor power supply according to claim 6, wherein, The generation process of the charging voltage curve includes: According to the real-time voltage value, set the initial charging coordinate points in each retained normal voltage change range, and according to the time length of the charging decision adjustment period, intercept the voltage interval segments at the initial charging coordinate points in each normal voltage change range; Judge which temperature range the real-time temperature value is associated with in each retained normal voltage change range. If it is within the normal charging temperature range, do nothing; If it is within the internal resistance-voltage abnormal temperature range, then according to the distance value between the real-time temperature value and the normal charging temperature range, translate the intercepted voltage interval segments up and down at the corresponding charge and discharge times, map all the intercepted voltage interval segments onto the same two-dimensional coordinate system, intercept the overlapping part of the voltage interval segments, and then select the value at the center position of the overlapping part to generate the charging voltage curve executed in the next charging decision adjustment period.

8. The lithium-ion battery adaptation charging and regulation system applied to an outdoor power supply according to claim 7, wherein The execution process of the charging voltage curve further includes: During the execution of the charging voltage curve, the dynamic charging voltage control circuit, the temperature detection circuit, and the internal resistance detection circuit collect the real-time voltage change curve, the real-time temperature change curve, and the real-time internal resistance change curve of the target lithium-ion battery; Whenever a charging decision adjustment cycle ends, the process of screening the normal voltage change range and the normal internal resistance change range before the start of the first charging decision adjustment cycle is adopted, and the normal voltage change range and the normal internal resistance change range retained in the previous charging decision adjustment cycle are re-screened according to the real-time voltage change curve and the real-time internal resistance change curve; When the screening process ends, according to the real-time voltage value of the target lithium-ion battery at the end of the previous charging decision adjustment cycle, a voltage interval segment is intercepted from the retained normal voltage change range, and then the position of each voltage interval segment is adjusted according to the real-time temperature change curve, and then the corresponding charging voltage curve is generated and executed.

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