Self-adaptive battery full charge calibration method and terminal

Abstract

The invention provides a self-adaptive battery full charge calibration method and a terminal. The method comprises the following steps: acquiring initial battery parameters; the charging state of the battery is detected in real time in the charging process, and real-time battery parameters are obtained; calculating according to the initial battery parameters and the real-time battery parameters in combination with an adaptive algorithm to obtain predicted full charge time and predicted full charge quantity under the current charging strategy; comparing the predicted full charging time and the predicted full charging amount with actual demands, determining differences and adjusting a current charging strategy; and repeating the steps until the battery is fully charged. According to the method, the state parameters of the battery are collected in real time, the predicted full charging time and the predicted full charging amount under the current charging strategy are calculated in combination with the self-adaptive algorithm and compared with actual requirements to determine the difference so as to reversely and dynamically adjust the current charging strategy, the method can adapt to changes of different battery types and battery states, the invalid charging time is shortened, and the charging efficiency is improved. And the charging efficiency is improved, and the full-charge calibration is realized, so that the safety problems such as overcharge and overheating of the battery are avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of electric vehicles, and in particular to an adaptive battery full-charge calibration method and a terminal. Background Art

[0002] With the rapid development of electric vehicles and renewable energy technologies, batteries, as the power source of equipment, have become the focus of users' attention in terms of charging efficiency and full-charge accuracy. Therefore, developing an efficient and accurate adaptive battery full-charge calibration method is of great significance for improving user experience and device performance.

[0003] At present, most of the battery full charge calibration methods on the market use a fixed parameter control method, which cannot adapt to the changes in different battery types and states, resulting in low charging efficiency and low full charge accuracy. In addition, the existing battery full charge calibration methods often lack dynamic adjustment during the battery charging process and cannot optimize the charging strategy in real time according to the actual situation of the battery. Summary of the invention

[0004] The technical problem to be solved by the present invention is to provide an adaptive battery full charge calibration method and terminal, which can effectively improve the charging efficiency and realize full charge calibration, and increase the battery safety.

[0005] In order to solve the above technical problems, the technical solution adopted by the present invention is:

[0006] An adaptive battery full charge calibration method comprises the steps of:

[0007] S0. Acquire initial battery parameters, where the initial battery parameters include battery capacity Q_total, battery internal resistance R_int, and battery initial voltage V_init;

[0008] S1. During the charging process, the charging state of the battery is detected in real time to obtain real-time battery parameters, which include the current battery voltage V_current, the current battery current I_current, the current temperature T and the SOC of each single cabinet;

[0009] S2. Calculate the estimated full charge time and the estimated full charge capacity under the current charging strategy according to the initial battery parameters and the real-time battery parameters in combination with an adaptive algorithm, specifically:

[0010] S21. Define the calculation formula of the estimated full charge time T_full as follows:

[0011] T_full=f(Q_remaining,I_current,R_int,T) (1);

[0012] Among them, Q_remaining represents the current remaining capacity of the battery, and f is a functional relationship determined according to battery characteristics and charging environment factors. The calculation formula of the functional relationship f is as follows:

[0013]

[0014] Among them, α, β and γ are constants determined by experiments and data analysis, which are used to reflect the influence of battery characteristics and charging environment factors on charging time;

[0015] S22. Define the calculation formula for the estimated full charge capacity Q_full as follows:

[0016] Q_full=Q_total-Q_loss (3);

[0017] Wherein, Q_loss is the power loss calculated according to the battery internal resistance R_int, the battery current I_current and the charging time, and the calculation formula of the power loss Q_loss is as follows:

[0018]

[0019] Wherein, k is the influence coefficient of the battery internal resistance R_int on the power loss Q_loss, and η is the energy conversion efficiency during charging;

[0020] S3, comparing the estimated full charge time and the estimated full charge amount with actual demand, determining the difference and adjusting the current charging strategy;

[0021] S4. Repeat steps S1 to S3 until the battery is fully charged.

[0022] In order to solve the above technical problems, another technical solution adopted by the present invention is:

[0023] An adaptive battery full charge calibration terminal includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the following steps when executing the computer program:

[0024] S0. Acquire initial battery parameters, where the initial battery parameters include battery capacity Q_total, battery internal resistance R_int, and battery initial voltage V_init;

[0025] S1. During the charging process, the charging state of the battery is detected in real time to obtain real-time battery parameters, which include the current battery voltage V current, the current battery current I current, the current temperature T and the SOC of each single cabinet;

[0026] S2. Calculate the estimated full charge time and the estimated full charge capacity under the current charging strategy according to the initial battery parameters and the real-time battery parameters in combination with an adaptive algorithm, specifically:

[0027] S21. Define the calculation formula of the estimated full charge time T_full as follows:

[0028] T_full=f(Q_remaining,I_current,R_int,T) (1);

[0029] Among them, Q_remaining represents the current remaining capacity of the battery, and f is a functional relationship determined according to battery characteristics and charging environment factors. The calculation formula of the functional relationship f is as follows:

[0030]

[0031] Among them, α, β and γ are constants determined by experiments and data analysis, which are used to reflect the influence of battery characteristics and charging environment factors on charging time;

[0032] S22. Define the calculation formula for the estimated full charge capacity Q_full as follows:

[0033] Q_full=Q_total-Q_loss (3);

[0034] Wherein, Q_loss is the power loss calculated according to the battery internal resistance R_int, the battery current I_current and the charging time, and the calculation formula of the power loss Q_loss is as follows:

[0035]

[0036] Wherein, k is the influence coefficient of the battery internal resistance R_int on the power loss Q_loss, and η is the energy conversion efficiency during charging;

[0037] S3, comparing the estimated full charge time and the estimated full charge amount with actual demand, determining the difference and adjusting the current charging strategy;

[0038] S4. Repeat steps S1 to S3 until the battery is fully charged.

[0039] The beneficial effects of the present invention are: providing an adaptive battery full-charge calibration method and terminal, by real-time collection of battery status parameters during the battery charging process, combining an adaptive algorithm to calculate the expected full-charge time and the expected full-charge amount under the current charging strategy, and determining the difference based on the comparison between the expected full-charge time and the expected full-charge amount and the actual demand to reversely adjust the current charging strategy, that is, to achieve dynamic adjustment of the charging strategy during the charging process to adapt to changes in different battery types and battery states, reduce invalid charging time, improve charging efficiency and achieve full-charge calibration, so as to avoid safety problems such as battery overcharging and overheating. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 An overall flow chart of an adaptive battery full charge calibration method according to an embodiment of the present invention;

[0041] Figure 2 A schematic diagram of the structure of an adaptive battery full-charge calibration terminal according to an embodiment of the present invention.

[0042] Description of labels:

[0043] 1. An adaptive battery full-charge calibration terminal; 2. A memory; 3. A processor. DETAILED DESCRIPTION

[0044] In order to explain the technical content, achieved objectives and effects of the present invention in detail, the following is an explanation in combination with the implementation modes and the accompanying drawings.

[0045] Please refer to Figure 1 , an adaptive battery full charge calibration method, comprising the steps of:

[0046] S0. Acquire initial battery parameters, where the initial battery parameters include battery capacity Q_total, battery internal resistance R_int, and battery initial voltage V_init;

[0047] S1. During the charging process, the charging state of the battery is detected in real time to obtain real-time battery parameters, which include the current battery voltage V_current, the current battery current I_current, the current temperature T and the SOC of each single cabinet;

[0048] S2. Calculate the estimated full charge time and the estimated full charge capacity under the current charging strategy according to the initial battery parameters and the real-time battery parameters in combination with an adaptive algorithm, specifically:

[0049] S21. Define the calculation formula of the estimated full charge time T_full as follows:

[0050] T_full=f(Q_remaining,I_current,R_int,T) (1);

[0051] Among them, Q_remaining represents the current remaining capacity of the battery, and f is a functional relationship determined according to battery characteristics and charging environment factors. The calculation formula of the functional relationship f is as follows:

[0052]

[0053] Among them, α, β and γ are constants determined by experiments and data analysis, which are used to reflect the influence of battery characteristics and charging environment factors on charging time;

[0054] S22. Define the calculation formula for the estimated full charge capacity Q_full as follows:

[0055] Q_full=Q_total-Q_loss (3);

[0056] Wherein, Q_loss is the power loss calculated according to the battery internal resistance R_int, the battery current I_current and the charging time, and the calculation formula of the power loss Q_loss is as follows:

[0057]

[0058] Wherein, k is the influence coefficient of the battery internal resistance R_int on the power loss Q_loss, and η is the energy conversion efficiency during charging;

[0059] S3, comparing the estimated full charge time and the estimated full charge amount with actual demand, determining the difference and adjusting the current charging strategy;

[0060] S4. Repeat steps S1 to S3 until the battery is fully charged.

[0061] From the above description, it can be seen that the beneficial effects of the present invention are: providing an adaptive battery full charge calibration method, by real-time collection of battery status parameters during the battery charging process, combining an adaptive algorithm to calculate the expected full charge time and expected full charge capacity under the current charging strategy, and determining the difference based on the comparison of the expected full charge time and the expected full charge capacity with the actual demand to reversely adjust the current charging strategy, that is, to achieve dynamic adjustment of the charging strategy during the charging process to adapt to changes in different battery types and battery states, reduce invalid charging time, improve charging efficiency and achieve full charge calibration to avoid safety problems such as battery overcharging and overheating, wherein the specific implementation of the calculation formula of the adaptive algorithm can be based on a comprehensive consideration of the chemical properties, physical properties and charging environment of the battery, that is, the chemical properties of the battery include the SOC of each single cabinet, and the physical properties include the internal resistance of the battery; the charging environment includes parameters such as charging current, charging voltage, and temperature. By real-time monitoring and calculation of these parameters, a more accurate expected full charge time and expected full charge capacity can be obtained, thereby achieving accurate battery full charge calibration.

[0062] Furthermore, the step S3 is specifically as follows:

[0063] S31, comparing the estimated full charging time and the user required time, if the estimated full charging time is less than or equal to the user required time, the current charging strategy meets the user's needs and no adjustment is required;

[0064] Otherwise, the current current I_current or the current charging voltage V_set of the battery in the current charging strategy is increased;

[0065] S32, comparing the estimated full charge capacity with the user's required capacity, if the estimated full charge capacity is greater than or equal to the user's required capacity, then the current charging strategy meets the user's needs and no adjustment is required;

[0066] Otherwise, the charging time of the current charging strategy is extended or the power loss Q_loss during the charging process is reduced;

[0067] S33, comprehensively considering the estimated full charge time and the estimated full charge amount, if the estimated full charge time and the estimated full charge amount both meet the user's needs, then the current charging strategy meets the user's needs and does not need to be adjusted;

[0068] Otherwise, make trade-offs and adjustments based on the priority of user needs.

[0069] From the above description, it can be seen that the charging strategy is dynamically adjusted according to the difference between the estimated full charging time and the estimated full charging amount calculated in real time by the adaptive algorithm and the actual demand. This can adapt to changes in different battery types and states, improve charging efficiency and full charging accuracy, and is suitable for different types of batteries and different charging environments, with wide applicability.

[0070] Please refer to Figure 2 , an adaptive battery full charge calibration terminal, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the following steps when executing the computer program:

[0071] S0. Acquire initial battery parameters, where the initial battery parameters include battery capacity Q_total, battery internal resistance R_int, and battery initial voltage V_init;

[0072] S1. During the charging process, the charging state of the battery is detected in real time to obtain real-time battery parameters, which include the current battery voltage V_current, the current battery current I_current, the current temperature T and the SOC of each single cabinet;

[0073] S2. Calculate the estimated full charge time and the estimated full charge capacity under the current charging strategy according to the initial battery parameters and the real-time battery parameters in combination with an adaptive algorithm, specifically:

[0074] S21. Define the calculation formula of the estimated full charge time T_full as follows:

[0075] T_full=f(Q_remaining,I_current,R_int,T) (1);

[0076] Among them, Q_remaining represents the current remaining capacity of the battery, and f is a functional relationship determined according to battery characteristics and charging environment factors. The calculation formula of the functional relationship f is as follows:

[0077]

[0078] Among them, α, β and γ are constants determined by experiments and data analysis, which are used to reflect the influence of battery characteristics and charging environment factors on charging time;

[0079] S22. Define the calculation formula for the estimated full charge capacity Q_full as follows:

[0080] Q_full=Q_total-Q_loss (3);

[0081] Wherein, Q_loss is the power loss calculated according to the battery internal resistance R_int, the battery current I_current and the charging time, and the calculation formula of the power loss Q_loss is as follows:

[0082]

[0083] Wherein, k is the influence coefficient of the battery internal resistance R_int on the power loss Q_loss, and η is the energy conversion efficiency during charging;

[0084] S3, comparing the estimated full charge time and the estimated full charge amount with actual demand, determining the difference and adjusting the current charging strategy;

[0085] S4. Repeat steps S1 to S3 until the battery is fully charged.

[0086] From the above description, it can be seen that the beneficial effect of the present invention is that: based on the same technical concept, in conjunction with the above-mentioned adaptive battery full charge calibration method, an adaptive battery full charge calibration terminal is provided, by real-time collection of battery status parameters during battery charging, combined with an adaptive algorithm to calculate the estimated full charge time and estimated full charge amount under the current charging strategy, and based on the comparison of the estimated full charge time and the estimated full charge amount with the actual demand, the difference is determined to reversely adjust the current charging strategy, that is, to achieve dynamic adjustment of the charging strategy during the charging process to adapt to changes in different battery types and battery states, reduce invalid charging time, improve charging efficiency and achieve full charge calibration, so as to avoid safety problems such as battery overcharging and overheating, wherein the specific implementation of the calculation formula of the adaptive algorithm can be based on a comprehensive consideration of the chemical properties, physical properties and charging environment of the battery, that is, the chemical properties of the battery include the SOC of each single cabinet, and the physical properties include the internal resistance of the battery; the charging environment includes parameters such as charging current, charging voltage, and temperature. By real-time monitoring and calculation of these parameters, a more accurate estimated full charge time and estimated full charge amount can be obtained, thereby achieving accurate battery full charge calibration.

[0087] Furthermore, the step S3 is specifically as follows:

[0088] S31, comparing the estimated full charging time and the user required time, if the estimated full charging time is less than or equal to the user required time, the current charging strategy meets the user's needs and no adjustment is required;

[0089] Otherwise, the current current I_current or the current charging voltage V_set of the battery in the current charging strategy is increased;

[0090] S32, comparing the estimated full charge capacity with the user's required capacity, if the estimated full charge capacity is greater than or equal to the user's required capacity, then the current charging strategy meets the user's needs and no adjustment is required;

[0091] Otherwise, the charging time of the current charging strategy is extended or the power loss Q_loss during the charging process is reduced;

[0092] S33, comprehensively considering the estimated full charge time and the estimated full charge amount, if the estimated full charge time and the estimated full charge amount both meet the user's needs, then the current charging strategy meets the user's needs and does not need to be adjusted;

[0093] Otherwise, make trade-offs and adjustments based on the priority of user needs.

[0094] From the above description, it can be seen that the charging strategy is dynamically adjusted according to the difference between the estimated full charging time and the estimated full charging amount calculated in real time by the adaptive algorithm and the actual demand. This can adapt to changes in different battery types and states, improve charging efficiency and full charging accuracy, and is suitable for different types of batteries and different charging environments, with wide applicability.

[0095] The present invention provides an adaptive battery full-charge calibration method and terminal, which are mainly used in battery charging scenarios of electric vehicles, and are described in detail below in conjunction with specific embodiments.

[0096] Please refer to Figure 1 , Embodiment 1 of the present invention is:

[0097] An adaptive battery full charge calibration method, such as Figure 1 As shown, the steps include:

[0098] S0. Acquire initial battery parameters, where the initial battery parameters include battery capacity Q_total, battery internal resistance R_int and battery initial voltage V_init, that is, combine the initial parameters of the battery to subsequently achieve accurate calculation of the expected full charge time and expected full charge amount under the adaptive algorithm.

[0099] S1. During the charging process, the charging state of the battery is detected in real time to obtain real-time battery parameters, wherein the real-time battery parameters include the current battery voltage V_current, the current battery current I_current, the current temperature T and the SOC of each single cabinet.

[0100] S2. Calculate the estimated full charge time and the estimated full charge capacity under the current charging strategy based on the initial battery parameters and the real-time battery parameters in combination with the adaptive algorithm, specifically:

[0101] S21. Define the calculation formula of the estimated full charge time T_full as follows:

[0102] T_full=f(Q_remaining,I_current,R_int,T) (1);

[0103] Among them, Q_remaining represents the current remaining capacity of the battery, and f is a functional relationship determined according to battery characteristics and charging environment factors.

[0104] Then the calculation formula of the functional relationship f is as follows:

[0105]

[0106] Among them, α, β and γ are constants determined through experiments and data analysis, which are used to reflect the influence of battery characteristics and charging environment factors on charging time.

[0107] S22. Define the calculation formula for the estimated full charge capacity Q_full as follows:

[0108] Q_full=Q_total-Q_loss (3);

[0109] Among them, Q_loss is the power loss calculated according to the battery internal resistance R_int, the battery current I_current and the charging time.

[0110] The calculation formula of power loss Q_loss is as follows:

[0111]

[0112] Wherein, k is the influence coefficient of the battery internal resistance R_int on the power loss Q_loss, and η is the energy conversion efficiency during the charging process. In this embodiment, the values ​​of k and η need to be determined through experiments and data analysis.

[0113] S3. Compare the estimated full charge time and the estimated full charge amount with the actual demand, determine the difference and adjust the current charging strategy.

[0114] S4. Repeat steps S1 to S3 until the battery is fully charged.

[0115] That is, in this embodiment, by collecting the state parameters of the battery in real time during the battery charging process, combining the adaptive algorithm to calculate the estimated full charge time and the estimated full charge amount under the current charging strategy, and determining the difference based on the comparison between the estimated full charge time and the estimated full charge amount and the actual demand to reversely adjust the current charging strategy, that is, to achieve dynamic adjustment of the charging strategy during the charging process to adapt to changes in different battery types and battery states, reduce invalid charging time, improve charging efficiency and achieve full charge calibration, so as to avoid safety problems such as battery overcharging and overheating; the specific implementation of the calculation formula of the adaptive algorithm can be based on a comprehensive consideration of the chemical properties, physical properties and charging environment of the battery, that is, the chemical properties of the battery include the SOC of each single cabinet, and the physical properties include the internal resistance of the battery; the charging environment includes parameters such as charging current, charging voltage, and temperature. Through real-time monitoring and calculation of these parameters, a more accurate estimated full charge time and estimated full charge amount can be obtained, thereby achieving accurate battery full charge calibration.

[0116] Embodiment 2 of the present invention is:

[0117] An adaptive battery full charge calibration method, based on the above embodiment 1, in this embodiment, step S3 is specifically:

[0118] S31. Compare the estimated full-charge time and the user's required time. If the estimated full-charge time is less than or equal to the user's required time, it means that the current charging strategy can meet the user's needs and no adjustment is required. Otherwise, it means that the current charging strategy is inefficient and the charging strategy needs to be adjusted to shorten the charging time. The charging efficiency can be improved by increasing the battery current I_current or the battery current charging voltage V_set in the current charging strategy.

[0119] S32. Compare the estimated full charge capacity with the power required by the user. If the estimated full charge capacity is greater than or equal to the power required by the user, it means that the current charging strategy can meet the user's needs and no adjustment is required. Otherwise, it means that the battery may not be able to reach the power expected by the user, and the charging strategy needs to be adjusted to increase the full charge capacity. The full charge capacity can be increased by extending the charging time of the current charging strategy or reducing the power loss Q_loss during the charging process (such as by reducing the charging current to reduce internal resistance heating).

[0120] S33. Comprehensively consider the estimated full charge time and the estimated full charge amount. If the estimated full charge time and the estimated full charge amount meet the user's needs at the same time, it means that the current charging strategy can meet the user's needs and no adjustment is required. If there is a conflict between the estimated full charge time and the estimated full charge amount (such as increasing the charging current can shorten the charging time but may increase the power loss), it is necessary to weigh and adjust according to the priority of user needs.

[0121] That is, the charging strategy is dynamically adjusted based on the difference between the estimated full charge time and the estimated full charge amount calculated in real time by the adaptive algorithm and the actual demand. It can adapt to changes in different battery types and states, improve charging efficiency and achieve full charge calibration. It is suitable for different types of batteries and different charging environments and has wide applicability.

[0122] Please refer to Figure 2 , Embodiment 3 of the present invention is:

[0123] An adaptive battery full charge calibration terminal 1 includes a memory 2, a processor 3, and a computer program stored in the memory 2 and executable on the processor 3. When the processor 3 executes the computer program, the steps in an adaptive battery full charge calibration method in the above-mentioned embodiment 1 or embodiment 2 are completed.

[0124] In summary, the present invention provides an adaptive battery full charge calibration method and terminal, which has the following features:

[0125] Beneficial effects:

[0126] 1. Improve charging efficiency: By real-time monitoring of the battery's charging status and adjusting the charging strategy, the ineffective charging time can be reduced and the charging efficiency can be improved.

[0127] 2. Improve full-charge accuracy: Based on the real-time status of the battery and historical charging data, combined with an adaptive algorithm, high-precision battery full-charge calibration can be achieved.

[0128] 3. Enhanced safety: By real-time monitoring of battery temperature changes and adjusting charging strategies, safety issues such as battery overcharging and overheating can be avoided.

[0129] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent transformations made using the contents of the present invention's specification and drawings, or directly or indirectly applied in related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. An adaptive battery full charge calibration method, characterized in that: Includes steps: S0. Acquire initial battery parameters, where the initial battery parameters include battery capacity Q_total, battery internal resistance R_int, and battery initial voltage V_init; S1. During the charging process, the charging state of the battery is detected in real time to obtain real-time battery parameters, which include the current battery voltage V_current, the current battery current I_current, the current temperature T and the SOC of each single cabinet; S2. Calculate the estimated full charge time and the estimated full charge capacity under the current charging strategy according to the initial battery parameters and the real-time battery parameters in combination with an adaptive algorithm, specifically: S21. Define the calculation formula of the estimated full charge time T_full as follows: T_full=f(Q_remaining,I_current,R_int,T) (1); Among them, Q_remaining represents the current remaining capacity of the battery, and f is a functional relationship determined according to battery characteristics and charging environment factors. The calculation formula of the functional relationship f is as follows: Among them, α, β and γ are constants determined by experiments and data analysis, which are used to reflect the influence of battery characteristics and charging environment factors on charging time; S22. Define the calculation formula for the estimated full charge capacity Q_full as follows: Q_full=Q_total-Q_loss (3); Wherein, Q_loss is the power loss calculated according to the battery internal resistance R_int, the battery current I_current and the charging time, and the calculation formula of the power loss Q_loss is as follows: Wherein, k is the influence coefficient of the battery internal resistance R_int on the power loss Q_loss, and η is the energy conversion efficiency during charging; S3, comparing the estimated full charge time and the estimated full charge amount with actual demand, determining the difference and adjusting the current charging strategy; S4. Repeat steps S1 to S3 until the battery is fully charged.

2. The adaptive battery full charge calibration method according to claim 1, characterized in that: The step S3 is specifically as follows: S31, comparing the estimated full charging time and the user required time, if the estimated full charging time is less than or equal to the user required time, the current charging strategy meets the user's needs and no adjustment is required; Otherwise, the current current I_current or the current charging voltage V_set of the battery in the current charging strategy is increased; S32, comparing the estimated full charge capacity with the user's required capacity, if the estimated full charge capacity is greater than or equal to the user's required capacity, then the current charging strategy meets the user's needs and no adjustment is required; Otherwise, the charging time of the current charging strategy is extended or the power loss Q_loss during the charging process is reduced; S33, comprehensively considering the estimated full charge time and the estimated full charge amount, if the estimated full charge time and the estimated full charge amount both meet the user's needs, then the current charging strategy meets the user's needs and does not need to be adjusted; Otherwise, make trade-offs and adjustments based on the priority of user needs.

3. An adaptive battery full charge calibration terminal, characterized in that: The invention comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the following steps are implemented: S0. Acquire initial battery parameters, where the initial battery parameters include battery capacity Q_total, battery internal resistance R_int, and battery initial voltage V_init; S1. During the charging process, the charging state of the battery is detected in real time to obtain real-time battery parameters, which include the current battery voltage V_current, the current battery current I_current, the current temperature T and the SOC of each single cabinet; S2. Calculate the estimated full charge time and the estimated full charge capacity under the current charging strategy according to the initial battery parameters and the real-time battery parameters in combination with an adaptive algorithm, specifically: S21. Define the calculation formula of the estimated full charge time T_full as follows: T_full=f(Q_remaining,I_current,R_int,T) (1); Among them, Q_remaining represents the current remaining capacity of the battery, and f is a functional relationship determined according to battery characteristics and charging environment factors. The calculation formula of the functional relationship f is as follows: Among them, α, β and γ are constants determined by experiments and data analysis, which are used to reflect the influence of battery characteristics and charging environment factors on charging time; S22. Define the calculation formula for the estimated full charge capacity Q_full as follows: Q_full=Q_total-Q_loss (3); Wherein, Q_loss is the power loss calculated according to the battery internal resistance R_int, the battery current I_current and the charging time, and the calculation formula of the power loss Q_loss is as follows: Wherein, k is the influence coefficient of the battery internal resistance R_int on the power loss Q_loss, and η is the energy conversion efficiency during charging; S3, comparing the estimated full charge time and the estimated full charge amount with actual demand, determining the difference and adjusting the current charging strategy; S4. Repeat steps S1 to S3 until the battery is fully charged.

4. The adaptive battery full charge calibration terminal according to claim 3, characterized in that: The step S3 is specifically as follows: S31, comparing the estimated full charging time and the user required time, if the estimated full charging time is less than or equal to the user required time, the current charging strategy meets the user's needs and no adjustment is required; Otherwise, the current current I_current or the current charging voltage V_set of the battery in the current charging strategy is increased; S32, comparing the estimated full charge capacity with the user's required capacity, if the estimated full charge capacity is greater than or equal to the user's required capacity, then the current charging strategy meets the user's needs and no adjustment is required; Otherwise, the charging time of the current charging strategy is extended or the power loss Q_loss during the charging process is reduced; S33, comprehensively considering the estimated full charge time and the estimated full charge amount, if the estimated full charge time and the estimated full charge amount both meet the user's needs, then the current charging strategy meets the user's needs and does not need to be adjusted; Otherwise, make trade-offs and adjustments based on the priority of user needs.

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