Multi-model battery pack test method and system, intelligent terminal and storage medium
By implementing tiered power supply and closed-loop circulation between medium and large battery packs, combined with charge/discharge curve prediction and group management, the stability and continuity issues in megawatt-level battery pack testing have been resolved, achieving efficient and stable battery pack performance testing.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHANG ZHOU BAI TE CE KONG JI SHU YOU XIAN GONG SI
- Filing Date
- 2025-12-24
- Publication Date
- 2026-05-12
AI Technical Summary
Existing technologies exhibit low stability when conducting charge and discharge tests on megawatt-level battery packs, easily causing grid voltage fluctuations and current surges, affecting the continuity and accuracy of the tests, and interfering with other electrical equipment in the factory area.
A tiered power supply and charging/discharging method is adopted between medium-sized and large battery packs. By disconnecting the main power supply and realizing closed-loop circulation between battery packs, the dependence on the power grid is reduced. A charging/discharging curve prediction mechanism and a grouping mechanism are introduced to optimize power management.
It improves the stability and continuity of testing for multiple battery pack models, reduces grid power fluctuations and power consumption impacts, and enhances the fine control of the testing process and overall testing efficiency.
Smart Images

Figure CN122017563A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of battery testing technology, and in particular to a testing method, system, smart terminal and storage medium for multi-model battery packs. Background Technology
[0002] With the rapid development of the new energy industry and energy storage technology, large-capacity, multi-model battery packs are widely used in energy storage power stations, grid peak shaving, new energy grid connection, and industrial power consumption scenarios. To ensure the safety, reliability, and consistency of these battery packs during actual operation, multiple rounds of charge-discharge cycle tests are usually required before leaving the factory or being put into use to obtain key performance indicators such as capacity, efficiency, and degradation.
[0003] However, with the continuous improvement of battery pack capacity and power levels, existing testing methods have gradually revealed significant shortcomings in practical applications. This is especially true when conducting charge-discharge tests on megawatt-level power battery packs, which place extremely high demands on the power supply capacity of the testing system. Limited by the plant's power distribution conditions and transformer capacity, the power grid typically cannot directly and continuously provide stable megawatt-level charging power to the testing equipment. Furthermore, during megawatt-level charge-discharge tests directly relying on the power grid, the frequent start-ups and power fluctuations of high-power battery packs can easily cause voltage fluctuations, current surges, and even protection tripping issues in the plant's internal power grid. This not only affects the continuity and accuracy of the testing process but may also interfere with the normal operation of other electrical equipment within the plant, posing certain safety hazards.
[0004] Regarding the aforementioned technologies, the stability of directly testing multi-model, megawatt-level battery packs using the power grid is relatively low. Summary of the Invention
[0005] To improve the stability of battery pack testing, this application provides a testing method, system, smart terminal, and storage medium for multiple battery pack models.
[0006] Firstly, this application provides a testing method for multiple battery pack models, employing the following technical solution: A testing method for multiple battery pack models includes: Power is supplied to the medium-sized battery pack through the main power source until the medium-sized battery pack is fully charged; Disconnect the main power supply from the medium-sized battery pack and supply power to the first large battery pack through the medium-sized battery pack; In response to the full charge signal of the first large battery pack, the first power supply path between the medium battery pack and the first large battery pack is disconnected, and the first large battery pack is controlled to supply power to the second large battery pack through the second power supply path. In response to the signal indicating that the first large battery pack has completed supplying power to the second large battery pack, the auxiliary battery is controlled to supply power to the medium battery pack through the third power supply path until the second large battery pack is in a zero-power state. Repeat all the above steps to perform a charging cycle test until the preset number of charging cycles is reached. Obtain battery information for the medium-sized battery pack, the first large battery pack, and the second large battery pack, and obtain performance indicators for the medium-sized battery pack, the first large battery pack, and the second large battery pack based on the battery information and the initial battery information.
[0007] By adopting the above technical solution, the charging cycle test is completed through a tiered power supply and charging / discharging method between the medium-sized battery pack and the first and second large battery packs. This eliminates the need for a continuous megawatt-level power supply from the grid during the testing process, significantly reducing dependence on external grid power. Simultaneously, by disconnecting the main power supply during testing and achieving a closed-loop flow of electrical energy between the battery packs, the power fluctuations and power consumption impacts caused by megawatt-level charging and discharging on the plant's power grid are effectively reduced. This ensures the continuity of cyclic testing for multiple battery pack models while improving the stability of the testing process.
[0008] Optionally, the process of controlling the first large battery pack to supply power to the second large battery pack through the second power supply path further includes: Real-time acquisition of first power information of the first large battery pack and second power information of the second large battery pack; The charge / discharge curve is obtained based on the first and second battery information. The discharge end state of the first large battery pack is predicted based on the charge and discharge curve. The discharge end state includes a first state and a second state. The first state refers to the first power information being zero power and the second power information not being full power. The second state refers to the second power information being full power and the first power information not being zero power. When the discharge end state is the first state, the second missing value of the predicted charge is obtained according to the charge-discharge curve; In the charge-discharge curve, the expected recharge time for the medium-sized battery pack is determined based on the time point when the first charge information is zero. At the expected recharge time, power is supplied to the second large battery pack through the medium-sized battery pack, so that the second large battery pack can obtain the amount of power corresponding to the predicted missing value; In response to the full charge signal of the second large battery pack, a power supply completion signal is generated; When the discharge end state is the second state, the expected discharge time point of the first large battery pack is obtained from the charge-discharge curve when the second power information is full charge. At the expected discharge time, power is supplied to the medium-sized battery pack through the first large battery pack; In response to the zero electrical signal of the first large battery pack, a power supply completion signal is generated.
[0009] By adopting the above technical solution, a discharge end state prediction mechanism based on charge and discharge curves is introduced during the process of powering the second large battery pack from the first large battery pack. This mechanism can identify different power limit conditions in advance and determine the expected recharge time of the medium battery pack accordingly. This enables predictive recharge of the second large battery pack or timely recharge of the medium battery pack, thereby avoiding power interruption or energy waste caused by power mismatch and improving the continuity and controllability of the battery testing process.
[0010] Optionally, when supplying power to the second large battery pack via the medium-sized battery pack at the expected recharging time, the method further includes: Get the remaining medium-sized battery capacity of a medium-sized battery pack; Based on the missing power prediction values, obtain the medium power transfer loss value when the medium battery pack supplies power to the second large battery pack. The sum of the missing electricity forecast value and the medium-sized electricity transmission loss value is used to obtain the medium-sized electricity demand value; When the remaining power of the medium-sized battery is less than the power demand of the medium-sized battery, the expected power supply time for the total power supply to supply power to the medium-sized battery is determined based on the expected power replenishment time and the charging rate of the medium-sized battery pack. Power is supplied to the medium-sized battery pack via the main power supply at the expected power supply time. When the remaining medium-sized battery capacity reaches the medium-sized battery capacity requirement, disconnect the main power supply from the medium-sized battery pack.
[0011] By adopting the above technical solution, before the medium-sized battery pack replenishes the second large battery pack, a comprehensive calculation of the remaining power of the medium-sized battery pack and the power transmission loss is introduced. Based on the power demand of the medium-sized battery pack, the total power supply is introduced as needed to replenish the power, so that the total power supply participates in the power supply only when necessary and is disconnected in time after the demand is met. This avoids disorderly power extraction and excessive replenishment, reduces the instantaneous load impact on the power grid, and improves the level of fine control in the charging cycle test process.
[0012] Optionally, when the number of charging cycle tests exceeds the preset number, and during the process of controlling the second battery pack to supply power to the medium battery pack through the third power supply path, the current charge and discharge curve is obtained based on the information of the second large battery pack and the medium battery pack. Obtain historical charge / discharge curves from historical records; Obtain the similarity between the current charge / discharge curve and the historical charge / discharge curve; If the similarity is greater than the preset similarity, determine the amount of power shortage in the medium-sized battery pack based on the current charge-discharge curve. The medium-sized battery packs are divided into two groups based on the amount of power shortage, resulting in a first battery group and a second battery group. The first battery group consists of a portion of the medium-sized battery packs powered by the second large battery pack, while the second battery group consists of another portion of the medium-sized battery packs powered by the main power supply. In response to the full charge signal of the second battery pack, the first large battery pack is charged through the second battery pack; In response to the full charge signal of the first battery pack, the first battery pack and the second battery pack are integrated to charge the main battery together.
[0013] By adopting the above technical solution, after the charging cycle test reaches the preset number of times, the medium-sized battery packs are divided into groups, and the second large battery pack and the main power supply supply power to different groups respectively. This allows the medium-sized battery packs to complete the energy replenishment process in parallel, thereby shortening the time required for a single charging cycle and improving the overall testing efficiency of multiple battery pack models after entering the stable testing phase.
[0014] Optionally, the replacement grouping step size can be determined based on the number of medium-sized battery packs in the second battery group; Based on the replacement grouping step size, the numbering sequence of the current medium-sized battery pack is selected by sliding replacement to obtain the second grouping number for the next round of charging cycle test; The second battery group and the first battery group are determined based on the second group number to determine the next round of charging cycle testing.
[0015] By adopting the above technical solution and introducing a sliding grouping mechanism based on the replacement grouping step size, different medium-sized battery packs can alternately enter the second battery group powered by the main power supply in multiple rounds of charging cycle testing. This avoids the problem of concentrated test load caused by fixed grouping, achieves balanced distribution of test conditions for medium-sized battery packs, and improves the fairness and overall test efficiency of the long-term cycle testing process.
[0016] Optionally, the historical second group number of each charging cycle test and the historical output power of the total power supply corresponding to the historical second group number can be obtained from the historical records. Extract the target historical output power that is greater than the adjacent historical output power from the historical output power; Obtain the frequency of occurrence of the target's historical output power; The replacement frequency for each round is determined based on the replacement group step size and the preset sliding replacement step size; Determine whether the occurrence frequency and the replacement frequency in each round are equal; If so, then it is determined that there is an abnormal medium-sized battery pack in the second battery group corresponding to the historical second group number corresponding to the target historical output power.
[0017] By adopting the above technical solution, based on the historical change characteristics of the total power output during the group rotation process, the timing pattern of group replacement is correlated with the abnormality of the total power output. Without the need to set up separate detection sensors for medium-sized battery packs, it is possible to identify abnormal medium-sized battery packs that cause abnormal increases in total power replenishment. This enables automatic location of abnormal performance of medium-sized battery packs during cyclic testing, improving the testing reliability of multi-model battery pack testing processes.
[0018] Optionally, after each charging cycle test is completed, the changes in charging capacity, discharge capacity, and corresponding time series of the medium-sized battery pack, the first large battery pack, and the second large battery pack during that charging cycle test are recorded. The cycle energy efficiency value of each battery pack is generated based on the changes in charging capacity, the changes in discharging capacity, and the corresponding time series. The cycle energy efficiency values of each cycle are accumulated and stored to form a multi-cycle cycle performance sequence; Calculate the performance degradation trend coefficient of each battery pack based on the cycle performance sequence; After reaching the preset number of charging cycles, the performance indicators of the medium-sized battery pack, the first large battery pack, and the second large battery pack are calibrated based on the performance degradation trend coefficient.
[0019] By adopting the above technical solution, the changes in charge and discharge energy of each battery pack are continuously recorded during multiple charging cycle tests, and a multi-cycle performance sequence is constructed based on the cycle energy efficiency. This allows for the quantification of the performance degradation trend of each battery pack, and the performance indicators are calibrated after reaching the preset number of cycles. This enables the test results to truly reflect the performance changes of the battery pack under long-term use conditions, improving the accuracy and reference value of test results for multiple battery pack models.
[0020] Secondly, this application provides a multi-model battery pack testing system, which adopts the following technical solution: A multi-model battery pack testing system, comprising: The acquisition module is used to acquire battery information for the medium-sized battery pack, the first large battery pack, and the second large battery pack. A memory for storing the program for the multi-model battery pack testing method; The processor and memory programs can be loaded and executed by the processor to implement the multi-model battery pack testing method.
[0021] By adopting the above technical solution, the charging cycle test is completed through a tiered power supply and charging / discharging method between the medium-sized battery pack and the first and second large battery packs. This eliminates the need for a continuous megawatt-level power supply from the grid during the testing process, significantly reducing dependence on external grid power. Simultaneously, by disconnecting the main power supply during testing and achieving a closed-loop flow of electrical energy between the battery packs, the power fluctuations and power consumption impacts caused by megawatt-level charging and discharging on the plant's power grid are effectively reduced. This ensures the continuity of cyclic testing for multiple battery pack models while improving the stability of the testing process.
[0022] Thirdly, this application provides a smart terminal, which adopts the following technical solution: A smart terminal includes a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executed as described in any one of the above methods.
[0023] Fourthly, this application provides a computer storage medium capable of storing corresponding programs, which facilitates improving the stability of battery pack testing, and adopts the following technical solution: A computer-readable storage medium storing a computer program that can be loaded by a processor and executed any of the above-described multi-model battery pack testing methods.
[0024] In summary, this application includes at least one of the following beneficial technical effects: 1. By employing a tiered power supply and charge / discharge method between the medium-sized battery pack and the first and second large battery packs, charging cycle testing is completed. This eliminates the need for a continuous megawatt-level power supply from the grid during the testing process, significantly reducing reliance on external power grid capabilities. Simultaneously, by disconnecting the main power supply during testing and establishing a closed-loop energy flow between the battery packs, the power fluctuations and electrical impacts caused by megawatt-level charging and discharging on the plant's power grid are effectively reduced. This ensures the continuity of cyclic testing for multiple battery pack models while improving the stability of the testing process. 2. During the process of supplying power from the first large battery pack to the second large battery pack, a discharge end state prediction mechanism based on the charge and discharge curve is introduced. This mechanism can identify different power limit conditions in advance and determine the expected recharge time of the medium battery pack accordingly. This enables predictive recharge of the second large battery pack or timely recharge of the medium battery pack, thereby avoiding power interruption or energy waste caused by power mismatch and improving the continuity and controllability of the battery testing process. 3. Before the medium-sized battery pack replenishes the second large battery pack, a comprehensive calculation of the remaining power of the medium-sized battery pack and the power transmission loss is introduced. Based on the power demand of the medium-sized battery pack, the total power supply is introduced as needed to replenish the power, so that the total power supply participates in the power supply only when necessary and is disconnected in time after the demand is met. This avoids disorderly power extraction and excessive replenishment, reduces the instantaneous load impact on the power grid, and improves the level of fine control in the charging cycle test process. Attached Figure Description
[0025] Figure 1 This is a schematic diagram of a multi-model battery pack testing device in an embodiment of this application.
[0026] Figure 2 This is a flowchart illustrating a multi-model battery pack testing method in an embodiment of this application.
[0027] Figure 3 This is a flowchart illustrating a second method for testing multi-model battery packs in an embodiment of this application.
[0028] Figure 4 This is a flowchart illustrating a third method for testing multi-model battery packs in an embodiment of this application.
[0029] Figure 5 This is a flowchart illustrating a fourth method for testing multi-model battery packs in an embodiment of this application.
[0030] Figure 6 This is a flowchart illustrating a replacement charging method according to an embodiment of this application.
[0031] Figure 7 This is a flowchart illustrating a method for obtaining an abnormal medium-sized battery pack in an embodiment of this application.
[0032] Figure 8 This is a flowchart illustrating a method for obtaining performance indicators in an embodiment of this application. Detailed Implementation
[0033] To make the purpose, technical solution, and advantages of this application clearer, the following description is provided in conjunction with the appendix. Figure 1-8 The present application will be further described in detail below with reference to embodiments. It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of the application.
[0034] This application discloses a multi-model battery pack testing device. (Refer to...) Figure 1The multi-model battery pack testing device includes a main power supply, several medium-sized battery packs, a first large battery pack, and a second large battery pack. The main power supply and the medium-sized battery packs are connected via a power supply path; the medium-sized battery packs and the first large battery pack are connected via a first power supply path; the first and second large battery packs are connected via a second power supply path; and the second large battery pack and the medium-sized battery packs are connected via a third power supply path. The power supply path is an electrical connection structure used to establish a controllable energy flow path between different battery packs. It contains measuring components and switching components for detecting voltage and current, switching charging and discharging directions, and closing and opening the power supply path.
[0035] This application discloses a testing method for multiple battery pack models. (Refer to...) Figure 2 Testing methods for multiple battery pack models include: Step S101: Power the medium battery pack through the main power supply until the medium battery pack is fully charged.
[0036] The medium-sized battery pack is used during the charging cycle test, and its capacity is smaller than that of the first large battery pack. There are several medium-sized battery packs, and the total capacity of these medium-sized battery packs is greater than the capacity of the first large battery pack. In this embodiment, both the first and second large battery packs are megawatt-level energy storage systems.
[0037] The main power supply is an external power source; in this embodiment, the main power supply comes from the power grid. An AC / DC converter is included in the power supply path.
[0038] A fully charged state refers to the battery pack's capacity reaching a preset full charge threshold, which can be set to 95% or more of the rated capacity.
[0039] Step S102: Disconnect the main power supply from the medium battery pack and supply power to the first large battery pack through the medium battery pack.
[0040] When the medium-sized battery pack is fully charged, it indicates that the charging phase of the medium-sized battery pack has been completed during the current round of charging cycle testing. The charging cycle test consists of a charging phase, from zero charge to full charge, and a discharging phase, from full charge to zero charge. Zero charge refers to the battery pack's capacity reaching a preset low charge threshold, which can be set to 5% or less of the rated capacity.
[0041] Once the charging phase of the medium-sized battery pack is complete, it needs to enter the discharging phase. Therefore, the medium-sized battery pack supplies power to the first large-sized battery pack so that the first large-sized battery pack can enter the charging phase.
[0042] Step S103: In response to the full charge signal of the first large battery pack, disconnect the first power supply path between the medium battery pack and the first large battery pack, and control the first large battery pack to supply power to the second large battery pack through the second power supply path.
[0043] When the capacity of the first large battery pack reaches the preset full charge threshold, a full charge signal will be issued.
[0044] After receiving a full charge signal, the system needs to control the first large battery pack to enter the discharge stage. This is achieved by disconnecting the first power supply path between the medium battery pack and the first large battery pack to exit the charging stage, and connecting the second power supply path between the first large battery pack and the second large battery pack. This allows the first large battery pack to supply power to the second large battery pack to charge it, thus enabling the second large battery pack to enter the charging stage.
[0045] Step S104: In response to the signal indicating that the power supply from the first large battery pack to the second large battery pack is complete, control the auxiliary battery to supply power to the medium battery pack through the third power supply path until the second large battery pack is in a zero-power state.
[0046] The power supply completion signal refers to the signal generated by the first large battery pack when the charging phase of the second large battery pack is complete. There are two scenarios for the generation of this signal: one is that the first large battery pack is at zero charge and the second large battery pack is not fully charged; the other is that the second large battery pack is fully charged and the first large battery pack is not at zero charge. The corresponding measures for these two scenarios can be found in [reference needed]. Figure 3 The steps in the embodiments.
[0047] After the second large battery pack completes its charging phase, a discharging operation is required. However, feeding the energy from the second large battery pack back to the main power source (grid) could cause grid fluctuations. To reduce energy waste, the energy from the second large battery pack is fed back to the medium-sized battery pack, allowing the charging phase of the medium-sized battery pack to be tested again during the discharging phase of the second large battery pack.
[0048] Step S105: Repeat all the above steps to perform a charging cycle test until the preset number of charging cycles is reached.
[0049] In this process, after one round of charging cycle testing, the medium-sized battery pack is powered by the second large battery pack. There is a possibility that the medium-sized battery pack cannot reach a fully charged state. Therefore, in the next round of charging cycle testing, the medium-sized battery pack is powered by the main power supply until it is fully charged, thus completing the charging phase of the medium-sized battery pack.
[0050] The preset number of charging cycles is a constant and can be adjusted according to actual needs. When the preset number of charging cycles is reached, the battery pack participating in the charging cycle test has completed the performance test.
[0051] Step S106: Obtain battery information for the medium-sized battery pack, the first large battery pack, and the second large battery pack, and obtain performance indicators for the medium-sized battery pack, the first large battery pack, and the second large battery pack based on the battery information and the initial battery information.
[0052] Battery information refers to the battery's operating status after the battery pack has completed a preset number of charging cycle tests, including but not limited to voltage, internal resistance, capacity, state of charge (SOC), and state of health (SOH).
[0053] Initial battery information refers to baseline data recorded before the start of testing, which is used as a reference for subsequent performance degradation comparison. This includes voltage, internal resistance, initial capacity, state of charge (SOC), and state of health (SOH).
[0054] Performance metrics are battery performance evaluation results derived from the change between the battery information after testing and the initial battery information. They are used to measure battery degradation, such as capacity retention rate, internal resistance growth rate, and energy efficiency change rate.
[0055] In one feasible embodiment, the system has a preset lookup table of battery information and performance indicators corresponding to the battery pack. The system looks up the battery information and initial battery information in the lookup table to obtain the performance indicators corresponding to the battery pack.
[0056] Furthermore, the methods for obtaining the performance indicators of the medium-sized battery pack, the first large battery pack, and the second large battery pack can also refer to... Figure 8 The steps in the embodiments.
[0057] Reference Figure 3 The process of controlling the first large battery pack to supply power to the second large battery pack through the second power supply path also includes: Step S201: Obtain the first power information of the first large battery pack and the second power information of the second large battery pack in real time.
[0058] The first power information refers to the power value of the first large battery pack, which can be obtained through the BMS (Battery Management System) of the first large battery pack.
[0059] The second power information refers to the power value of the second large battery pack, which can be obtained through the BMS (Battery Management System) of the second large battery pack.
[0060] Step S202: Obtain the charge / discharge curve based on the first and second power information.
[0061] The charge-discharge curve is a graph plotted with time on the horizontal axis and the charge values of the first and second large battery packs on the vertical axis. It is used to reflect the relationship between the charge values of the first and second large battery packs and time.
[0062] Step S203: Predict the discharge end state of the first large battery pack based on the charge-discharge curve. The discharge end state includes a first state and a second state. The first state refers to the first power information being zero power and the second power information not being full power. The second state refers to the second power information being full power and the first power information not being zero power.
[0063] Based on the first power information, the corresponding curve is obtained from the charge and discharge curve graph. The rate of change of the power value of the first large battery pack can be obtained. Based on the existing curve and its rate of change at the current moment, and through the preset power change model, the main predicted change curve of the power of the first large battery pack at future moments is predicted.
[0064] Based on the second power information, the corresponding curve is obtained from the charge and discharge curve graph. The rate of change of the power value of the second large battery pack can be obtained. Based on the existing curve and its rate of change at the current moment, and through the preset power change model, the predicted change curve of the power of the second large battery pack at future moments can be predicted.
[0065] The most recent time point is used to extract data from the main predicted change curve and the auxiliary preset change curve. When the corresponding charge in the main predicted change curve is zero or the corresponding charge in the auxiliary preset change curve is full, the time point is recorded and used as the target time point for the start of the discharge end state.
[0066] Step S204: When the discharge end state is the first state, obtain the second missing value of the predicted charge based on the charge-discharge curve.
[0067] In the first state, where the discharge ends, the first large battery pack has zero charge. However, the second large battery pack is still not fully charged. This means the energy provided by the first large battery pack is insufficient for the auxiliary battery pack to complete a charging cycle from zero to full charge. Therefore, in the auxiliary battery pack's predicted change curve, the charge level at the target time point is subtracted from the full charge level to obtain the missing value for the second battery pack's predicted charge.
[0068] Step S205: In the charge-discharge curve, determine the expected recharge time of the medium-sized battery pack based on the time point when the first charge information is zero.
[0069] The expected charging time point refers to the time when the medium-sized battery pack charges the second large battery pack. It is the same time point when the first power information is zero. That is, it means that the second large battery pack can be continuously charged by charging the medium-sized battery pack at this time point.
[0070] Furthermore, after the charging phase from the medium-sized battery pack to the first large battery pack is completed, the remaining capacity of the medium-sized battery pack may be less than the sum of the second missing capacity prediction value and the charging loss from the medium-sized battery pack to the second large battery pack. Therefore, there is a possibility that the power supply to the medium-sized battery pack may need to be advanced via the main power source. Specific steps can be found in [reference needed]. Figure 4 The steps in the embodiments.
[0071] Step S206: At the expected power replenishment time, power is supplied to the second large battery pack through the medium battery pack, so that the second large battery pack obtains the power corresponding to the predicted missing value.
[0072] When the expected recharging time is reached, the second large battery pack is charged through the medium-sized battery pack, so that the charging phase of the second large battery pack can be sustained.
[0073] Step S207: In response to the full charge signal of the second large battery pack, generate a power supply completion signal.
[0074] The full charge signal for the second large battery pack is generated when the second large battery pack is fully charged. When the second large battery pack is fully charged, a power supply completion signal is generated.
[0075] Step S208: When the discharge end state is the second state, obtain the expected discharge time point of the first large battery pack when the second power information is full capacity from the charge-discharge curve.
[0076] The expected discharge time point refers to the time point during which the first large battery pack charges the second large battery pack when the second large battery pack is fully charged and the first large battery pack still has remaining charge.
[0077] Step S209: At the expected discharge time, power is supplied to the medium-sized battery pack through the first large battery pack.
[0078] Since the second large battery pack is fully charged, the first large battery pack cannot continue to charge the second large battery pack, leaving the first large battery pack with remaining charge. At this point, the first large battery pack has not yet completed its discharge phase, and therefore supplies power to the medium-sized battery pack through the first large battery pack.
[0079] Step S210: In response to the zero electrical signal of the first large battery pack, generate a power supply completion signal.
[0080] After the first large battery pack discharges into the medium-sized battery pack and the first large battery pack reaches zero charge, a zero charge signal is generated, and at the same time, a power supply completion signal is generated.
[0081] Reference Figure 4 The system will supply power to the second large battery pack via the medium-sized battery pack at the expected recharging time, and also includes: Step S301: Obtain the remaining medium-sized battery pack capacity.
[0082] Medium remaining capacity refers to the amount of electricity remaining in a medium-sized battery pack at the current moment. This remaining capacity value can be obtained through the BMS (Battery Management System) of the medium-sized battery pack.
[0083] Step S302: Obtain the medium power transfer loss value when the medium battery pack supplies power to the second large battery pack based on the missing power prediction value.
[0084] The missing power prediction value represents the amount of power lacking in the second large battery pack. During the charging process from the medium battery pack to the second large battery pack, there is power loss. If the second large battery pack is to receive the power corresponding to the missing power prediction value, the medium battery pack needs to provide at least the missing power prediction value plus the power loss. A preset charging power-loss mapping table exists between the power loss and the power supplied to the auxiliary battery pack via the medium battery pack. The missing power prediction value can be looked up in this table to obtain the corresponding power loss, i.e., the medium battery pack power transmission loss value.
[0085] Step S303: Calculate the sum of the missing power forecast value and the medium-sized power transmission loss value to obtain the medium-sized power demand value.
[0086] The missing power prediction value and the medium power delivery loss value are summed to obtain the medium power demand value. This means that the second large battery pack can only obtain the power corresponding to the missing power prediction value if the medium battery pack delivers the power demand value to the second large battery pack.
[0087] Step S304: If the remaining medium-sized battery capacity is less than the medium-sized battery capacity requirement, determine the expected power supply time when the total power supply will supply power to the medium-sized battery pack based on the expected power replenishment time and the charging rate of the medium-sized battery pack.
[0088] On the other hand, if the remaining power of the medium-sized battery pack is not less than the power requirement of the medium-sized battery pack, the second large battery pack can be charged directly through the medium-sized battery pack.
[0089] If the remaining power of the medium-sized battery pack is less than the power requirement of the medium-sized battery pack, it means that the medium-sized battery pack cannot meet the power requirement corresponding to the missing power prediction value for the second large battery pack.
[0090] Subtracting the remaining medium-sized battery capacity from the medium-sized capacity requirement yields the additional medium-sized capacity requirement. Dividing this additional requirement by the charging rate of the medium-sized battery pack gives the required time to reach the medium-sized capacity requirement. Based on the estimated charging time and the required time, the estimated start time for the main power supply to charge the medium-sized battery pack is determined. Pre-charging the medium-sized battery pack via the main power supply ensures that when it charges the second large battery pack, its existing capacity is sufficient to fully charge the second large battery pack.
[0091] Step S305: Power the medium-sized battery pack through the main power supply at the expected power supply time.
[0092] After obtaining the expected power supply time, power is supplied to the medium-sized battery pack through the main power supply at the expected power supply time.
[0093] Step S306: When the remaining medium-sized power reaches the medium-sized power requirement, disconnect the main power supply from the medium-sized battery pack.
[0094] The purpose of this step is to reduce the amount of power drawn from the main power source, and to ensure that the second large battery pack is fully charged when the next charging cycle test is performed, so that the medium battery pack can be charged through the second large battery pack, thereby reducing energy waste.
[0095] This application provides a fourth method for testing multi-model battery packs, referring to... Figure 5 The method includes: Step S401: When the charging cycle test exceeds the preset number of times, and while controlling the second battery pack to supply power to the medium battery pack through the third power supply path, obtain the current charge and discharge curve based on the information of the second large battery pack and the medium battery pack.
[0096] The preset number of times is a preset constant that can be adjusted according to actual needs. In this embodiment, the preset number of times can be set to 3.
[0097] The current charge / discharge curve refers to the charge / discharge curve at the current moment.
[0098] For the specific method of obtaining the current charge-discharge curve based on the information of the second large battery pack and the medium battery pack, please refer to the content in step S202.
[0099] Step S402: Obtain historical charge and discharge curves from the historical records.
[0100] Among them, the historical charge-discharge curve refers to the charge-discharge curve recorded in the first few rounds of charging cycle tests. These charge-discharge curves are stored in the historical records.
[0101] Step S403: Obtain the similarity between the current charge / discharge curve and the historical charge / discharge curve.
[0102] The process involves comparing the curves in the current charge / discharge curve with those in the historical charge / discharge curve. If the deviation is less than a preset level, the two curves are considered similar. For example, the Dynamic Time Warping (DTW) method can be used to obtain the similarity between the current charge / discharge curve and the historical charge / discharge curve.
[0103] Step S404: If the similarity is greater than the preset similarity, determine the amount of power shortage of the medium-sized battery pack based on the current charge-discharge curve.
[0104] The preset similarity is a constant that can be adjusted according to actual needs. A similarity greater than the preset similarity indicates a high degree of similarity between the current charge / discharge curve and the historical charge / discharge curve. In the subsequent acquisition of power information for the second large battery pack and the medium battery pack, the historical charge / discharge curve can be used as a reference. This allows the current charge / discharge curve to determine the power shortage of the medium battery pack. The power shortage represents the difference between the medium battery pack and its fully charged state when the second large battery pack is charging the medium battery pack and the second large battery pack is at zero charge.
[0105] Step S405: Divide the medium-sized battery packs into groups according to the amount of power shortage, to obtain a first battery group and a second battery group. The first battery group consists of a portion of the medium-sized battery packs powered by the second large battery pack, and the second battery group consists of another portion of the medium-sized battery packs powered by the main power supply.
[0106] After obtaining the amount of missing power, the medium-sized battery packs are divided into groups, so that some of the medium-sized battery packs are powered by the second large battery pack, which can fully charge these medium-sized battery packs, while the other medium-sized battery packs are charged using the main power supply.
[0107] Step S406: In response to the full charge signal of the second battery pack, charge the first large battery pack through the second battery pack.
[0108] Since the second battery group uses the total power supply for charging, its charging rate is greater than that of the first battery group. Therefore, the full charge signal of the second battery group will be generated before that of the first battery group. Thus, the first large battery group is charged through the second battery group to perform the next round of charging cycle test.
[0109] Step S407: In response to the full charge signal of the first battery group, the first battery group and the second battery group are integrated to charge the main battery together.
[0110] After the first battery group is fully charged, the first and second battery groups need to be integrated to charge the first large battery group together.
[0111] This application provides a replacement charging method, referring to... Figure 6 The method includes: Step S501: Determine the replacement group step size based on the number of medium-sized battery packs in the second battery group.
[0112] Specifically, after grouping the medium-sized battery packs into a first battery group and a second battery group based on their power shortage, the quantity of the second battery group is extracted and used as the replacement group step size for the next charging cycle test. For example, if there are 10 medium-sized battery packs, and the quantity corresponding to the second battery group is 4, then the replacement group step size is also 4. Step S502: Based on the replacement group step size, perform sliding replacement selection on the number sequence of the current medium-sized battery pack to obtain the second group number for the next round of charging cycle test.
[0113] Each medium-sized battery pack is initially numbered. The sliding replacement selection refers to selecting from the numbered sequence according to a preset sliding replacement step size, thereby obtaining the second group number for the next round of charging cycle testing.
[0114] For example, in the medium-sized battery packs numbered 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, the replacement group step size is 4, and the preset sliding replacement step size is 2. If the number of the second battery group in the current round is {1, 2, 3, 4}, then after sliding replacement selection, the number of the second group in the next round of charging cycle test is {3, 4, 5, 6}. After sliding replacement selection again, the number of the second group in the next round of charging cycle test is {5, 6, 7, 8}, and so on.
[0115] Step S503: Determine the second battery group and the first battery group for the next round of charging cycle testing based on the second group number.
[0116] After obtaining the second group number, the numbering sequence among all medium-sized battery packs that does not contain the second group number is designated as the first group number. For example, if the second group number is {1, 2, 3, 4}, then the first group number is {5, 6, 7, 8, 9, 10}. Therefore, the first group for the next round of charging cycle testing will be the medium-sized battery packs numbered {5, 6, 7, 8, 9, 10}, and the second group for the next round of charging cycle testing will be the medium-sized battery packs numbered {1, 2, 3, 4}.
[0117] This application provides a method for obtaining abnormal medium-sized battery packs, referring to... Figure 7 The method includes: Step S601: Obtain the historical second group number and the historical output power of the total power supply corresponding to the historical second group number from the historical record.
[0118] The historical records document the second group number and the amount of electricity supplied to the medium-sized battery pack by the total power supply corresponding to the second group number during each charging cycle test. Extracting the second group number and output electricity from the historical records yields several historical second group numbers and historical output electricity values.
[0119] Step S602: Extract the target historical output power that is greater than the adjacent historical output power from the historical output power.
[0120] Adjacent historical output power refers to the historical output power located on either side of the target historical output power on the timeline. For example, in the Ath charging cycle test, the historical output power corresponding to the second group number A1 is B1; in the A+1th charging cycle test, the historical output power corresponding to the second group number A2 is B2; and in the A+2th charging cycle test, the historical output power corresponding to the second group number A3 is B3. If historical output power B2 is taken as the target historical output power, then historical output power B1 and historical output power B3 are adjacent historical output power of the target historical output power.
[0121] Furthermore, the number of target historical output quantities is not 1. For example, there are historical output quantities B1, B2, B3, B4, and B5. Historical output quantity B2 is less than historical output quantities B1 and B4, and historical output quantity B3 is less than historical output quantities B1 and B4. Then the target historical output quantities are B2 and B3, and historical output quantities B1 and B4 are used as the adjacent historical output quantities of the target historical output quantities.
[0122] Step S603: Obtain the frequency of occurrence of the target historical output power.
[0123] Frequency of occurrence refers to how many charging cycles the target output power will appear once in the test.
[0124] Step S604: Determine the replacement frequency of each round based on the replacement group step size and the preset sliding replacement step size.
[0125] For example, with a replacement group step size of 4 and a preset sliding replacement step size of 2, the second group number in the nth round is {1, 2, 3, 4}, the second group number in the (n+1)th round is {3, 4, 5, 6}, the second group number in the (n+2)th round is {5, 6, 7, 8}, the second group number in the (n+3)th round is {7, 8, 9, 10}, the second group number in the (n+4)th round is {9, 10, 1, 2}, and the second group number in the (n+5)th round is {1, 2, 3, 4}. That is, after 5 cycles, the second group number is repeated again, so the round replacement frequency is 5.
[0126] Step S605: Determine whether the occurrence frequency and the round replacement frequency are equal.
[0127] If the frequency and the cycle replacement frequency are equal, it means that during the charging cycle test, when charging the medium battery pack corresponding to a certain second group number, the total power supply delivered to the second battery group is less than the power delivered in the adjacent cycle, that is, the target historical output power is greater than the adjacent historical output power.
[0128] Step S606: If yes, then determine that there is an abnormal medium-sized battery pack in the first battery group corresponding to the historical first group number corresponding to the target historical output power.
[0129] On the other hand, if the frequency and the replacement frequency are not equal, it may indicate that there are current fluctuations during the charging process of the main power supply to the medium-sized battery pack, and no action will be taken for the time being.
[0130] When the frequency of occurrence and the frequency of cycle replacement are equal, if the total power supplied to the second battery group is less than that supplied in the adjacent cycle when charging a medium battery group corresponding to a certain second group number, it can be inferred that there is an abnormal medium battery group in the first battery group corresponding to the historical first group number corresponding to the target historical output power. Furthermore, a corresponding abnormal alarm can be issued.
[0131] This application provides a method for obtaining performance indicators, referring to... Figure 8 The method includes: Step S701: After each charging cycle test is completed, record the changes in charging capacity, discharging capacity, and corresponding time series of the medium-sized battery pack, the first large battery pack, and the second large battery pack during that charging cycle test.
[0132] The change in charging capacity refers to the sequence of changes in the battery pack's charge level as it rises from zero to full charge during a charging cycle.
[0133] Discharge capacity change refers to the sequence of capacity changes that occur when the battery pack's charge drops from a fully charged state to a zero-charge state during a discharge cycle.
[0134] A time series refers to the set of time points corresponding to the above-mentioned changes in electricity consumption. It is used to describe the temporal characteristics of changes in electricity consumption throughout the entire cycle, including the start time, end time, and multiple time sampling points within the sampling interval.
[0135] Step S702: Generate the cycle energy efficiency value of each battery pack based on the changes in charging capacity, the changes in discharging capacity, and the corresponding time series.
[0136] Cycle energy efficiency (CEE) is the ratio of output energy to input energy of a battery pack during a single charging cycle. It reflects the energy utilization capability and health status of the battery pack in this cycle. It is expressed as: Cycle Energy Efficiency = (Total Discharge Energy / Total Charge Energy) × 100%.
[0137] Step S703: Accumulate and store the cycle energy efficiency values of each round to form a multi-round cycle performance sequence.
[0138] Cyclic performance sequence refers to a set of sequential data formed by storing the cyclic energy efficiency values of each cycle in chronological order. It is used to reflect the performance evolution trajectory of the battery pack during multiple testing cycles.
[0139] In one feasible implementation, after completing the energy efficiency calculation for a certain cycle, the efficiency value corresponding to that cycle is appended to the cycle performance database and sorted according to the cycle index. At the end of each cycle, the following operations are automatically performed: Obtain the cycle energy efficiency value for the current cycle; write the efficiency value into the cycle performance record table corresponding to the battery pack; create a data entry containing cycle number, cycle energy efficiency value, and timestamp; and construct a complete cycle performance sequence from the data of all cycles in chronological order.
[0140] Step S704: Calculate the performance degradation trend coefficient of each battery pack based on the cycle performance sequence.
[0141] The performance degradation trend coefficient is a quantitative indicator used to characterize the rate of performance decline of a battery pack during multiple charge-discharge cycles. The larger the coefficient, the faster the battery pack degrades.
[0142] In a feasible embodiment, the following processing is performed on the cycle performance sequence of each battery pack: A moving average method is used to smooth the energy efficiency values over several consecutive cycles, removing random fluctuations. If the efficiency value of a particular cycle deviates from the average value by more than a preset threshold (e.g., 10%), it is considered an anomaly and removed. When the cyclic performance sequence exhibits an approximately linear decay trend, linear least squares fitting is used; when the sequence exhibits accelerated decay characteristics, an exponential decay model is used for fitting. If it is a linear fit, the negative slope of the fitted line is used as the decay trend coefficient for the battery pack; if it is an exponential model, the exponential decay parameter is used as the decay trend coefficient.
[0143] Step S705: After reaching the preset number of charging cycles, calibrate the performance indicators of the medium-sized battery pack, the first large battery pack, and the second large battery pack according to the performance degradation trend coefficient.
[0144] In one feasible embodiment: Performance calibration is triggered when the battery pack has accumulated 100 charge cycles.
[0145] After reaching this number of cycles, the performance degradation trend coefficient of each battery pack is first read. For the first large battery pack, the medium battery pack, and the second large battery pack, performance calibration is performed as follows: Based on the degradation trend coefficient, the expected efficiency decrease over the past 100 cycles is calculated; this degradation value is used to correct the nominal capacity of the battery pack, ensuring that the capacity parameters stored in the system are consistent with the actual degradation; the usable range of its peak discharge power and charging rate is simultaneously corrected to avoid anomalies caused by overuse in subsequent cycles; if the degradation trend coefficient exceeds the safety threshold, a "rapid degradation alarm" flag can be further triggered, and all updated performance indicators will overwrite the old performance indicator parameters.
[0146] Based on the same inventive concept, embodiments of this application provide a multi-model battery pack testing system, including: The acquisition module is used to acquire battery information for the medium-sized battery pack, the first large battery pack, and the second large battery pack. Memory, used to store programs for testing methods of various battery pack models; The processor and memory programs can be loaded and executed by the processor to implement testing methods for multiple battery pack models.
[0147] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional modules is used as an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device, and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.
[0148] This application provides a computer-readable storage medium storing a computer program that can be loaded by a processor and executed to test methods for multiple battery pack models.
[0149] Computer storage media include, for example, USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, optical disks, and other media that can store program code.
[0150] Based on the same inventive concept, embodiments of this application provide a smart terminal, including a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executed for testing methods of multiple battery pack models.
[0151] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional modules is used as an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device, and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.
[0152] The above are all preferred embodiments of this application and are not intended to limit the scope of protection of this application. Any feature disclosed in this specification (including the abstract and drawings) may be replaced by other equivalent or similar features unless specifically stated otherwise. That is, unless specifically stated otherwise, each feature is only one example of a series of equivalent or similar features.
Claims
1. A testing method for multiple battery pack models, characterized in that, include: Power is supplied to the medium-sized battery pack through the main power source until the medium-sized battery pack is fully charged; Disconnect the main power supply from the medium-sized battery pack and supply power to the first large battery pack through the medium-sized battery pack; In response to the full charge signal of the first large battery pack, the first power supply path between the medium battery pack and the first large battery pack is disconnected, and the first large battery pack is controlled to supply power to the second large battery pack through the second power supply path. In response to the signal indicating that the first large battery pack has completed supplying power to the second large battery pack, the auxiliary battery is controlled to supply power to the medium battery pack through the third power supply path until the second large battery pack is in a zero-power state. Repeat all the above steps to perform a charging cycle test until the preset number of charging cycles is reached. Obtain battery information for the medium-sized battery pack, the first large battery pack, and the second large battery pack, and obtain performance indicators for the medium-sized battery pack, the first large battery pack, and the second large battery pack based on the battery information and the initial battery information.
2. The multi-model battery pack testing method according to claim 1, characterized in that, The process of controlling the first large battery pack to supply power to the second large battery pack through the second power supply path also includes: Real-time acquisition of first power information of the first large battery pack and second power information of the second large battery pack; The charge / discharge curve is obtained based on the first and second battery information. The discharge end state of the first large battery pack is predicted based on the charge and discharge curve. The discharge end state includes a first state and a second state. The first state refers to the first power information being zero power and the second power information not being full power. The second state refers to the second power information being full power and the first power information not being zero power. When the discharge end state is the first state, the second missing value of the predicted charge is obtained according to the charge-discharge curve; In the charge-discharge curve, the expected recharge time for the medium-sized battery pack is determined based on the time point when the first charge information is zero. At the expected recharge time, power is supplied to the second large battery pack through the medium-sized battery pack, so that the second large battery pack can obtain the amount of power corresponding to the predicted missing value; In response to the full charge signal of the second large battery pack, a power supply completion signal is generated; When the discharge end state is the second state, the expected discharge time point of the first large battery pack is obtained from the charge-discharge curve when the second power information is full charge. At the expected discharge time, power is supplied to the medium-sized battery pack through the first large battery pack; In response to the zero electrical signal of the first large battery pack, a power supply completion signal is generated.
3. The multi-model battery pack testing method according to claim 2, characterized in that, When supplying power to the second large battery pack via the medium-sized battery pack at the expected recharging time, it also includes: Get the remaining medium-sized battery capacity of a medium-sized battery pack; Based on the missing power prediction values, obtain the medium power transfer loss value when the medium battery pack supplies power to the second large battery pack. The sum of the missing electricity forecast value and the medium-sized electricity transmission loss value is used to obtain the medium-sized electricity demand value; When the remaining power of the medium-sized battery is less than the power demand of the medium-sized battery, the expected power supply time for the total power supply to supply power to the medium-sized battery is determined based on the expected power replenishment time and the charging rate of the medium-sized battery pack. Power is supplied to the medium-sized battery pack via the main power supply at the expected power supply time. When the remaining medium-sized battery capacity reaches the medium-sized battery capacity requirement, disconnect the main power supply from the medium-sized battery pack.
4. The multi-model battery pack testing method according to claim 3, characterized in that, The method further includes: When the number of charging cycle tests exceeds the preset number, and while controlling the second battery pack to supply power to the medium battery pack through the third power supply path, the current charge and discharge curve is obtained based on the information of the second large battery pack and the medium battery pack. Obtain historical charge / discharge curves from historical records; Obtain the similarity between the current charge / discharge curve and the historical charge / discharge curve; If the similarity is greater than the preset similarity, determine the amount of power shortage in the medium-sized battery pack based on the current charge-discharge curve. The medium-sized battery packs are divided into two groups based on the amount of power shortage, resulting in a first battery group and a second battery group. The first battery group consists of a portion of the medium-sized battery packs powered by the second large battery pack, while the second battery group consists of another portion of the medium-sized battery packs powered by the main power supply. In response to the full charge signal of the second battery pack, the first large battery pack is charged through the second battery pack; In response to the full charge signal of the first battery pack, the first battery pack and the second battery pack are integrated to charge the main battery together.
5. The multi-model battery pack testing method according to claim 4, characterized in that, The method further includes: The replacement group step size is determined based on the number of medium-sized battery packs in the second battery group; Based on the replacement grouping step size, the numbering sequence of the current medium-sized battery pack is selected by sliding replacement to obtain the second grouping number for the next round of charging cycle test; The second battery group and the first battery group are determined based on the second group number to determine the next round of charging cycle testing.
6. The multi-model battery pack testing method according to claim 5, characterized in that, The method further includes: From the historical records, obtain the historical second group number of each charging cycle test and the historical output power of the total power supply corresponding to the historical second group number; Extract the target historical output power that is greater than the adjacent historical output power from the historical output power; Obtain the frequency of occurrence of the target's historical output power; The replacement frequency for each round is determined based on the replacement group step size and the preset sliding replacement step size; Determine whether the occurrence frequency and the replacement frequency in each round are equal; If so, then it is determined that there is an abnormal medium-sized battery pack in the second battery group corresponding to the historical second group number corresponding to the target historical output power.
7. The multi-model battery pack testing method according to claim 1, characterized in that, The method further includes: After each charging cycle test is completed, record the changes in charging capacity, discharging capacity, and corresponding time series of the medium-sized battery pack, the first large battery pack, and the second large battery pack during that charging cycle test. The cycle energy efficiency value of each battery pack is generated based on the changes in charging capacity, the changes in discharging capacity, and the corresponding time series. The cycle energy efficiency values of each cycle are accumulated and stored to form a multi-cycle cycle performance sequence; Calculate the performance degradation trend coefficient of each battery pack based on the cycle performance sequence; After reaching the preset number of charging cycles, the performance indicators of the medium-sized battery pack, the first large battery pack, and the second large battery pack are calibrated based on the performance degradation trend coefficient.
8. A multi-model battery pack testing system, characterized in that, The system is used to perform the multi-model battery pack testing method as described in any one of claims 1 to 7, including: The acquisition module is used to acquire battery information for the medium-sized battery pack, the first large battery pack, and the second large battery pack. A memory for storing the program for the multi-model battery pack testing method; The processor and memory programs can be loaded and executed by the processor to implement the multi-model battery pack testing method.
9. A smart terminal, characterized in that, It includes a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executed as described in any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that, The computer program is stored that can be loaded by a processor and execute the method as described in any one of claims 1 to 7.