A battery pack charging management method and device

Abstract

The present invention discloses a battery pack charging management method and device, which classifies and summarizes historical battery pack data into a storage database, and performs preliminary screening based on the selection of charging data. The present invention relates to the field of charging management technology. The battery pack charging management method and device obtains charging data by screening historical battery pack data, and analyzes and processes the data content according to a data management system, and performs automatic adjustment operation of battery pack charging according to the result of the analysis and processing, thereby finding the curve segment mark of the charge change rate according to the relationship change of the charging data, and obtaining the corresponding battery charging control management instruction based on the curve segment analysis, thereby reducing the impact on the battery's own storage capacity in the operation process that can ensure that the battery completes charging.

Description

Technical Field

[0001] The present invention relates to the technical field of charging management, and in particular to a method and device for charging management of a battery pack. Background Art

[0002] The reference patent name is: A battery charging management method (patent publication number: CN101702453A, patent publication date: 2010-05-05), which includes the following steps: monitoring the discharge capacity of the battery, determining the discharge depth of the battery according to the discharge capacity and the total capacity of the battery; comparing the discharge depth of the battery with a preset battery equalization charge threshold; and when the discharge depth of the battery is greater than or equal to the preset battery equalization charge threshold capacity, enabling the temperature control charging mode, and adjusting the charging current according to the battery temperature to charge the battery.

[0003] Based on the description in the above-mentioned document, in the existing battery pack charging management process, continuous constant voltage charging has the problem of incomplete charging, and continuous constant current charging will also cause the problem of reduced battery capacity. Even through the charging switching operation, the temperature will increase due to the continuous charging process. The data cannot be gradually analyzed and monitored during the charging management, resulting in the charging efficiency being slowed down, the charging operation failing to achieve full charge operation, and the battery capacity being reduced. For this reason, the present invention provides a battery pack charging management method and device. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides a battery pack charging management method and device, which solves the problem of incomplete charging due to continuous constant voltage charging in the existing battery pack charging management process, and the problem that continuous constant current charging will also cause the battery capacity to decrease. Even through the charging switching operation, the temperature will increase due to the continuous charging process. The data cannot be gradually analyzed and monitored during the charging management, resulting in the charging efficiency being slowed down, the charging operation failing to achieve full charge operation, and the battery capacity being reduced.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: A battery pack charging management method specifically comprises the following steps:

[0006] A1. Classify the historical battery group data and summarize them into a storage database, and perform preliminary screening based on the selection of charging data;

[0007] A2. Perform secondary screening on the charging data, screen the required data content according to the management operation, analyze and process the data content according to the data management system, and perform automatic adjustment operation of battery pack charging according to the analysis and processing results. The processing operation of the data management system is:

[0008] a21. Obtaining the status data generated by the battery pack during the charging process, and the status data contains the battery's own information data, charging current, charging voltage, charging time and battery temperature data during charging;

[0009] a22. Establish a change model for battery pack charging based on the status data, reflect the battery charge state at different charging times through the change model, predict charging problems based on the feedback of the battery charge value, and complete the charging management operation in combination with the battery temperature data during charging;

[0010] a23, generating processing instructions based on the management results and transmitting them through the data transmission module to implement the control operation of the subsequent charging strategy;

[0011] A3. Apply the charging strategy to the charging control operation of the rechargeable battery, collect the data generated by the charging in real time, and verify the threshold generated by the change model prediction.

[0012] Preferably, the preliminary screening operation in A1 is:

[0013] a11. Summarize and classify historical battery group data into charging data, unused data and discharging data;

[0014] a12, extracting the classified charging data, and filtering and storing the remaining data in a storage database;

[0015] a13. Sort the charging data in order according to the change in time to form a charging data set marked as P.

[0016] Preferably, the secondary screening operation of the charging data in A2 is:

[0017] B1. A mapping template with the required data content is marked as Q, and a charging data subset in the charging data set P is introduced into the mapping template Q for matching;

[0018] B2. Match the battery information data, charging current, charging voltage, charging time and battery temperature in the mapping template Q, and insert the numerical contents from the charging data set P into the data categories of the mapping template Q in sequence according to the continuous sequence of the charging time, and obtain the required content data set marked as L;

[0019] B3. After the required data content is completely matched, the remaining charging data is filtered out and stored in the storage database.

[0020] Preferably, the change model in a22 operates as follows for battery states of charge at different charging times:

[0021] C1a, introducing the content data L into the change model, transforming the data to form a curve about the state data;

[0022] C2a, realize the analysis operation in different time periods according to the degree of change of the state data curve, and complete the determination of the charging strategy node that needs to be switched during the charging process;

[0023] C3a, and aggregate the data of the switching charging strategy nodes to form a switching node data set marked as M.

[0024] Preferably, the steps of converting the C1a data to form a state data curve are:

[0025] c1a1, the change of data category charging time is used as the X-axis, and the charging time is used as the coordinate point on the X-axis in order with each minute as the split node, and is marked as Tn, the charging current, charging voltage and battery charge storage value are used as the Y-axis, and the charging current, charging voltage and battery charge storage value corresponding to the split node Tn are used as the coordinate point on the Y-axis, and the charging current is marked as In, the charging voltage is marked as Un, and the battery charge storage value is marked as SOCn;

[0026] c1a2. According to the order of the coordinate point Tn on the X-axis, the corresponding charging current In, charging voltage Un and battery charge storage value SOCn are connected to form the Tn and In change curve, the Tn and Un change curve, and the Tn and SOCn change curve.

[0027] Preferably, the analysis operation of the state data curve by C2a is:

[0028] c2a1, based on the Tn and SOCn change curves, the charge change rate is calculated based on the battery charge storage values ​​at adjacent coordinate points and is marked as V;

[0029] c2a2, based on the normal fluctuation during charging, the deviation threshold value of the charge change rate V is marked as w, and if the change rate V generated in the curve data exceeds the range of the deviation threshold value compared with the previous change rate V, the SOCn change curve segment exceeding the change rate V range is marked;

[0030] c2a3, and the analysis of the marked SOCn change curve segment has the following results:

[0031] Result 1: When the change rate V of the marked SOCn change curve segment is greater than the preceding change rate V of the compensation deviation threshold, the charging efficiency is improved, and the temperature does not change, it is judged that the current or voltage input is abnormal or the rated charge of the battery is abnormal;

[0032] Result 2: When the change rate V of the marked SOCn change curve segment is less than the preceding change rate V of the compensation deviation threshold, the charging efficiency is reduced, while the input current and voltage do not change, and it is judged that the charging temperature is abnormal.

[0033] Preferably, the calculation formula for the rate of change V of charge in c2a1 is:

[0034] V=(SOC n -SOC n-1 )±w, n≥2;

[0035] Among them, SOCn is the battery charge value at the nth coordinate point, SOC n-1 is the battery charge value before SOCn;

[0036] The calculation formula of SOCn is:

[0037]

[0038] Where SOC0 is the initial state of charge, In is the battery charging current at the nth time coordinate point, Tn is the nth time coordinate point, and C is the total capacity of the battery;

[0039] And the judgment formula for abnormal marking of SOCn change curve segment is:

[0040] That is (SOC n -SOC n-1 )>w, which is result 1;

[0041] That is (SOC n -SOC n-1 )<-w, which is the result 2.

[0042] Preferably, the operation of managing the battery temperature data during charging by a22 is:

[0043] C1b, based on the data feedback generated by the second result, the temperature data of the battery is collected and marked as Jn, and sorted in chronological order to obtain the change curve of the change rate V and Jn;

[0044] C2b, and by inserting the normal function of the rate of change V, and the function is y = V 平 , and V 平is the average value of the normal growth rate of the battery charge, which is used to segment the change curves of V and Jn;

[0045] C3b, at this time, is located at V 平 When the upper curve is in an ascending state, an instruction for lowering the temperature is generated for the battery cooling operation, or an instruction for adjusting the charging voltage is generated.

[0046] Preferably, the charging switching operation in A3 is:

[0047] a31. During the charging phase, when encountering the SOCn change curve segment and the result is 1, the constant current charging strategy is controlled to generate an instruction to reduce the charging input current. If there is still no change after a duration of t, a power-off instruction for the charging operation is generated;

[0048] a32. During the charging phase, when encountering the SOCn change curve segment and the result is Result 2, the charging strategy based on constant current is switched to the charging strategy based on variable voltage, and an instruction to cool down the battery temperature is generated according to the C3b operation.

[0049] The present invention also discloses a device using the battery pack charging management method, comprising:

[0050] The charging unit includes charging equipment and performs data adjustment during charging to complete the charging operation of the battery;

[0051] A monitoring unit, including an electric energy meter for measuring the charging voltage, current, and the electric energy storage capacity of the battery, and also including a timer and a thermometer for measuring the charging time and the temperature of the battery during charging;

[0052] The regulating unit includes a cooling device for regulating the temperature of the battery.

[0053] The present invention provides a battery pack charging management method and device. Compared with the prior art, the present invention has the following beneficial effects:

[0054] (1) The battery pack charging management method and device obtain charging data by filtering historical battery pack data, analyzing and processing the data content according to the data management system, and automatically adjusting the battery pack charging according to the analysis and processing results. In this way, the curve segment mark of the charge change rate is found according to the relationship change of the charging data, and the corresponding battery charging control management instructions are obtained based on the curve segment analysis, so as to reduce the impact on the battery's own storage capacity during the operation process that can ensure that the battery is fully charged.

[0055] (2) The battery pack charging management method and device predicts abnormal problems based on curve segment analysis, introduces the temperature data of the battery according to the abnormal problem, and judges the temperature change trend generated during the charging process. At the same time, based on the rate of change of the battery charge value, the temperature change node is determined, thereby generating a cooling instruction to complete the management of the battery charging operation, thereby ensuring that the battery does not suffer from capacity loss, improving the charging efficiency, and realizing adaptive control management operations.

[0056] (3) The battery pack charging management method and device obtain the required charging data through preliminary screening and secondary screening operations, and then map the required category data with the charging data to obtain the required data content, thereby reducing the redundancy of more data in the management operation process and affecting the data analysis efficiency. At the same time, it can obtain the curve of the status data based on the change model more quickly, more clearly discover the abnormalities in the charging process, and improve the adaptability and adjustment rate of the charging operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Figure 1 is a flow chart of the charging management method of the present invention;

[0058] Figure 2 is a flow chart of the data management system of the present invention;

[0059] Figure 3 This is a functional block diagram of the charging management device of the present invention. DETAILED DESCRIPTION

[0060] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions 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 are within the scope of protection of the present invention.

[0061] See also Figure 1-Figure 3 , the present invention provides two technical solutions:

[0062] Embodiment 1: A battery pack charging management method, comprising the following steps:

[0063] A1. Classify the historical battery group data and summarize them into a storage database, and perform preliminary screening based on the selection of charging data;

[0064] A2. Perform secondary screening on the charging data, screen the required data content according to the management operation, analyze and process the data content according to the data management system, and perform automatic adjustment operation of battery pack charging according to the analysis and processing results. The processing operation of the data management system is:

[0065] a21. Obtaining the status data generated by the battery pack during the charging process, and the status data contains the battery's own information data, charging current, charging voltage, charging time and battery temperature data during charging;

[0066] a22. Establish a change model for battery pack charging based on the status data, reflect the battery charge state at different charging times through the change model, predict charging problems based on the feedback of the battery charge value, and complete the charging management operation in combination with the battery temperature data during charging;

[0067] a23, generating processing instructions based on the management results and transmitting them through the data transmission module to implement the control operation of the subsequent charging strategy;

[0068] A3. Apply the charging strategy to the charging control operation of the rechargeable battery, collect the data generated by the charging in real time, and verify the threshold generated by the change model prediction.

[0069] According to the operation in a22, when the analysis result is generated (SOC n -SOC n-1 )>w or (SOC n -SOC n-1 )<-w, then the starting point of the abnormal curve segment is the threshold value generated by the model prediction. Similarly, the threshold node for temperature is when the rate of change V of the battery charge per minute exceeds the function y=V 平 , and subsequently applied in the management operation of charging batteries of the same model, adaptive charging switching operations can be completed based on this data.

[0070] Among them, by completing the screening of historical battery group data, the charging data is obtained, and the data content is analyzed and processed according to the data management system. The automatic adjustment operation of the battery group charging is performed according to the result of the analysis and processing. In this way, according to the relationship change of the charging data, the curve segment mark of the charge change rate is found, and the corresponding battery charging control management instructions are obtained based on the curve segment analysis, so as to reduce the impact on the battery's own storage capacity in the operation process that can ensure the battery completes the charging.

[0071] In the embodiment of the present invention, the preliminary screening operation in A1 is:

[0072] a11. Summarize and classify historical battery group data into charging data, unused data and discharging data;

[0073] a12, extracting the classified charging data, and filtering and storing the remaining data in a storage database;

[0074] a13. Sort the charging data in order according to the change in time to form a charging data set marked as P.

[0075] In the embodiment of the present invention, the secondary screening operation of the charging data in A2 is:

[0076] B1. A mapping template with the required data content is marked as Q, and a charging data subset in the charging data set P is introduced into the mapping template Q for matching;

[0077] B2. Match the battery information data, charging current, charging voltage, charging time and battery temperature in the mapping template Q, and insert the numerical contents from the charging data set P into the data categories of the mapping template Q in sequence according to the continuous sequence of the charging time, and obtain the required content data set marked as L;

[0078] B3. After the required data content is completely matched, the remaining charging data is filtered out and stored in the storage database.

[0079] Among them, through the operations of preliminary screening and secondary screening, the required charging data is first obtained, and then the content of the required category data is mapped with the charging data to obtain the required data content, thereby reducing the redundancy of more data in the management operation process and affecting the data analysis efficiency. At the same time, the curve of the state data can be obtained faster based on the change model, and the anomalies in the charging process can be discovered more clearly, thereby improving the adaptability and adjustment rate of the charging operation.

[0080] In the embodiment of the present invention, the change model in a22 operates as follows for the battery state of charge at different charging times:

[0081] C1a, introducing the content data L into the change model, transforming the data to form a curve about the state data;

[0082] C2a, realize the analysis operation in different time periods according to the degree of change of the state data curve, and complete the determination of the charging strategy node that needs to be switched during the charging process;

[0083] C3a, and aggregate the data of the switching charging strategy node to form a switching node data set marked as M. In the embodiment of the present invention, the steps of converting the C1a data to form a state data curve are:

[0084] c1a1, the change of data category charging time is used as the X-axis, and the charging time is used as the coordinate point on the X-axis in order with each minute as the split node, and is marked as Tn, the charging current, charging voltage and battery charge storage value are used as the Y-axis, and the charging current, charging voltage and battery charge storage value corresponding to the split node Tn are used as the coordinate point on the Y-axis, and the charging current is marked as In, the charging voltage is marked as Un, and the battery charge storage value is marked as SOCn;

[0085] c1a2. According to the order of the coordinate point Tn on the X-axis, the corresponding charging current In, charging voltage Un and battery charge storage value SOCn are connected to form the Tn and In change curve, the Tn and Un change curve, and the Tn and SOCn change curve.

[0086] In the embodiment of the present invention, the analysis operation of C2a on the state data curve is:

[0087] c2a1, based on the Tn and SOCn change curves, the charge change rate is calculated based on the battery charge storage values ​​at adjacent coordinate points and is marked as V;

[0088] c2a2, based on the normal fluctuation during charging, the deviation threshold value of the charge change rate V is marked as w, and if the change rate V generated in the curve data exceeds the range of the deviation threshold value compared with the previous change rate V, the SOCn change curve segment exceeding the change rate V range is marked;

[0089] c2a3, and the analysis of the marked SOCn change curve segment has the following results:

[0090] Result 1: When the change rate V of the marked SOCn change curve segment is greater than the preceding change rate V of the compensation deviation threshold, the charging efficiency is improved, and the temperature does not change, it is judged that the current or voltage input is abnormal or the rated charge of the battery is abnormal;

[0091] Result 2: When the change rate V of the marked SOCn change curve segment is less than the preceding change rate V of the compensation deviation threshold, the charging efficiency is reduced, while the input current and voltage do not change, and it is judged that the charging temperature is abnormal.

[0092] In the embodiment of the present invention, the calculation formula for the rate of change V of the charge in c2a1 is:

[0093] V=(SOC n -SOC n-1 )±w, n≥2;

[0094] Among them, SOCn is the battery charge value at the nth coordinate point, SOC n-1 is the battery charge value before SOCn;

[0095] The calculation formula of SOCn is:

[0096]

[0097] Where SOC0 is the initial state of charge, In is the battery charging current at the nth time coordinate point, Tn is the nth time coordinate point, and C is the total capacity of the battery;

[0098] And the judgment formula for abnormal marking of SOCn change curve segment is:

[0099] That is (SOC n -SOC n-1 )>w, which is result 1;

[0100] That is (SOC n -SOC n-1 )<-w, which is the result 2.

[0101] In the embodiment of the present invention, the operation of a22 for managing the temperature data of the battery during charging is:

[0102] C1b, based on the data feedback generated by the second result, the temperature data of the battery is collected and marked as Jn, and sorted in chronological order to obtain the change curve of the change rate V and Jn;

[0103] C2b, and by inserting the normal function of the rate of change V, and the function is y = V 平 , and V 平 is the average value of the normal growth rate of the battery charge, which is used to segment the change curves of V and Jn;

[0104] C3b, at this time, is located at V 平 When the upper curve is in an ascending state, an instruction for lowering the temperature is generated for the battery cooling operation, or an instruction for adjusting the charging voltage is generated.

[0105] Among them, after the abnormal problem is predicted based on the curve segment analysis, the temperature data of the battery is introduced according to the abnormal problem, and the temperature change trend generated based on the charging process is judged. At the same time, the node where the temperature changes is determined based on the rate of change of the battery charge value, so as to generate a cooling instruction to complete the management of the battery charging operation, thereby ensuring that the battery does not suffer from capacity loss, improving the charging efficiency, and realizing adaptive control management operations.

[0106] In the embodiment of the present invention, the charging switching operation in A3 is:

[0107] a31. During the charging phase, when encountering the SOCn change curve segment and the result is 1, the constant current charging strategy is controlled to generate an instruction to reduce the charging input current. If there is still no change after a duration of t, a power-off instruction for the charging operation is generated;

[0108] a32. During the charging phase, when encountering the SOCn change curve segment and the result is Result 2, the charging strategy based on constant current is switched to the charging strategy based on variable voltage, and an instruction to cool down the battery temperature is generated according to the C3b operation.

[0109] Embodiment 2 is different from Embodiment 1 in that: the present invention further discloses a device using a battery pack charging management method, comprising:

[0110] The charging unit includes charging equipment and performs data adjustment during charging to complete the charging operation of the battery;

[0111] A monitoring unit, including an electric energy meter for measuring the charging voltage, current, and the electric energy storage capacity of the battery, and also including a timer and a thermometer for measuring the charging time and the temperature of the battery during charging;

[0112] The regulating unit includes a cooling device for regulating the temperature of the battery.

[0113] Among them, the charging equipment can complete the regulation and control operations of the charging input voltage and input current. The monitoring unit uses the existing product electricity meter and sensor to realize data collection and monitoring operations, and transmits the data to the display terminal to implement the changes in the observed data. The cooling equipment can be a combination of one or more water-cooled components or air-cooled components.

[0114] Comparative experiment

[0115] Now, a charging device using a conventional battery charging management method and a charging device using the battery charging management method of the present invention are used to charge a newly manufactured battery of the same model until the charging is terminated after power failure, and the data generated during the charging process are recorded, and the charging time, the battery charge storage, and the battery available capacity data are compared, and the specific data are shown in Table 1:

[0116] Table 1 Data comparison table

[0117]

[0118] In summary, by adopting the charging device of the battery charging management method of the present invention to complete the battery charging management operation, the time required for charging is shorter, and the battery can be fully charged. At the same time, the adjustment of the charging process can avoid the loss of the available capacity of the battery, and the charging device adopting the battery charging management method can also perform charging processing operations on the battery.

[0119] Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0120] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0121] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A battery pack charging management method, characterized in that: A1. Classify, preliminarily screen and summarize historical battery group data into a storage database; A2. Perform secondary screening, screen the required data content according to the management operation, analyze and process the data content according to the data management system, and automatically adjust the battery pack charging according to the analysis and processing results. The processing operation of the data management system is: a21. Obtain the charging status of the battery pack, including the battery information, charging current, charging voltage, charging time and battery temperature during charging; a22. Establish a change model for battery pack charging based on the status data, reflect the battery state of charge under different charging times through the change model, and predict the threshold value generated according to the feedback of the battery state of charge, and complete the charging management operation in combination with the temperature of the battery during charging; a23. Generate processing instructions based on the management operation results, and transmit them through the data transmission module to implement the control operation of the subsequent charging strategy; A3. Apply the charging strategy to the charging control operation of the battery pack, collect charging data in real time, and verify it with the threshold value generated by the change model prediction; The a22 operation reflects the battery state of charge at different charging times through a variable model: C1a, introducing the data content generated by the secondary screening into the change model, converting the data to form a state data curve; C2a, realize analysis operations at different time periods according to the degree of change of the status data curve, and determine the nodes where the charging strategy needs to be switched during the charging process; C3a, aggregate the data of the switching charging strategy nodes to form a switching node data set, marked as M; The analysis operation of C2a is as follows: When the charge change rate v exceeds the deviation threshold compared to the previous charge change rate, the SOCn change curve segment that exceeds the range is marked, and the marking analysis has the following results: Result 1: , the charging efficiency is improved, and the temperature has not changed. It is judged that the current or voltage input is abnormal or the rated charge of the battery is abnormal; Result 2: , the charging efficiency is reduced, the input current and voltage have not changed, and it is judged that the charging temperature is abnormal; The a22 completes the charging management operation in combination with the temperature data of the battery during charging as follows: C1b, based on the data feedback generated by the second result, collect the temperature data of the battery, mark it as Jn, and sort it in chronological order to obtain the change curve of the charge change rate v and Jn; C2b, insert the function of charge change rate v, divide the change curve of v and Jn, the function is y=v 平 , v 平 is the average value of the normal growth rate of the battery charge; C3b, the change curve is located at v 平 When the temperature is above the upper limit and the curve state is an upward characteristic, a cooling instruction is generated for cooling the battery, or a charging voltage adjustment instruction is generated; SOCn, Jn are the battery charge value and temperature data at the nth coordinate point, n≥2, and w is the deviation threshold of the charge change rate caused by normal charging fluctuations.

2. A battery pack charging management method according to claim 1, characterized in that: The preliminary screening operation in A1 is: a11. Summarize and classify historical battery group data into charging data, unused data and discharging data; a12, extracting the classified charging data, and filtering and storing the remaining data in a storage database; a13. Sort the charging data in the order of time change to form a charging data set, marked as P.

3. A battery pack charging management method according to claim 2, characterized in that: The secondary screening operation of the charging data in A2 is: B1. A mapping template corresponding to the required data content is set, marked as Q, and a charging data subset in the charging data set P is introduced into the mapping template Q for matching; B2. Match the battery information, charging current, charging voltage, charging time and battery temperature during charging in the mapping template Q, and insert the numerical contents from the charging data set P into the data categories of the mapping template Q in sequence according to the continuous sequence of the charging time, and obtain the required content data set, which is marked as L; B3. After the required data content is completely matched, the remaining charging data is filtered out and stored in the storage database.

4. A battery pack charging management method according to claim 1, characterized in that: The steps of converting data to form a state data curve by C1a are as follows: c1a1. The change of charging time is used as the X-axis, and the charging time is used as the coordinate point on the X-axis in order with each minute as the dividing node, marked as Tn. The charging current, charging voltage and battery charge value are used as the Y-axis, and the specific value of the corresponding charging time is used as the coordinate point on the Y-axis, the charging current is marked as In, the charging voltage is marked as Un, and the battery charge value is marked as SOCn; c1a2. According to the order of the coordinate point Tn on the X-axis, the corresponding charging current In, charging voltage Un and battery charge value SOCn are connected to form the Tn and In change curve, the Tn and Un change curve, and the Tn and SOCn change curve.

5. A battery pack charging management method according to claim 4, characterized in that: The charge change rate v is calculated as follows: v=(SOC n -SOC n-1 )±w,n≥2; Among them, SOC n-1 is the battery charge value before SOCn; The calculation formula of SOCn is: ； Among them, SOC0 is the initial charge value and C is the total capacity of the battery.

6. A battery pack charging management method according to claim 5, characterized in that: The charging control operation in A3 is: a31. During the charging phase, when encountering the SOCn change curve segment and the result is 1, the constant current charging strategy is controlled to generate an instruction to reduce the charging input current. If there is still no change after a duration of t, a power-off instruction for the charging operation is generated; a32. During the charging phase, when encountering the SOCn change curve segment and the result is Result 2, the charging strategy based on constant current is switched to the charging strategy based on variable voltage, and a battery cooling instruction is generated according to C3b.

7. A battery pack charging management device, implementing the battery pack charging management method according to any one of claims 1 to 6, characterized in that: include: The charging unit includes a charging device, which adjusts the data during charging and completes the charging operation of the battery; A monitoring unit, including an electric energy meter for measuring the charging voltage, current, and the electric energy storage capacity of the battery, and also including a timer and a thermometer for measuring the charging time and the temperature of the battery during charging; The regulating unit includes a cooling device for regulating the temperature of the battery.

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