Method, device, equipment and medium for processing capacity ramping process

Abstract

The application provides a capacity climbing process processing method, device, equipment and medium, including: obtaining a battery object to be processed, and obtaining a climbing state level of the battery object; based on the climbing state level, obtaining a target climbing processing strategy of the battery object from a preset candidate climbing processing strategy; based on the target climbing processing strategy, performing optimization processing of the capacity climbing process of the battery object. In the application, the optimization processing of the capacity climbing process of the battery object is performed through the target climbing processing strategy, the consumption time of the capacity climbing process of the battery object is shortened, the cycle time of the battery object is shortened, and the test efficiency of the battery performance test is improved. In the scene of battery optimization based on the performance test result, the battery performance optimization efficiency and optimization effect are improved, and the stability and safety of the battery component operation are improved, and the user experience is optimized.

Description

Technical Field

[0001] This application relates to the field of battery technology, and in particular to a method, apparatus, device, and medium for processing a capacity ramp-up process. Background Technology

[0002] With the development of technology, lithium batteries are playing an increasingly important role in people's work and life. In practical applications, the performance of lithium batteries has a certain impact on the stability and safety of related equipment.

[0003] Therefore, optimizing the performance of lithium batteries is of great importance. Summary of the Invention

[0004] The purpose of this application is to at least partially solve one of the technical problems in the aforementioned technologies.

[0005] The first aspect of this application provides a method for processing a capacity ramp-up process, comprising: acquiring a battery object to be processed and acquiring a ramp-up state level of the battery object; based on the ramp-up state level, acquiring a target ramp-up processing strategy for the battery object from a preset candidate ramp-up processing strategy; and optimizing the capacity ramp-up process of the battery object based on the target ramp-up processing strategy.

[0006] A second aspect of this application provides a processing apparatus for a capacity ramp-up process, comprising: a first acquisition module for acquiring a battery object to be processed and acquiring a ramp-up state level of the battery object; a second acquisition module for acquiring a target ramp-up processing strategy for the battery object from a preset candidate ramp-up processing strategy based on the ramp-up state level; and an optimization module for optimizing the capacity ramp-up process of the battery object based on the target ramp-up processing strategy.

[0007] A third aspect of this disclosure provides an electronic device comprising: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to execute instructions to implement a processing method for a capacity ramp-up process as described in the first aspect above.

[0008] This fourth aspect of the disclosure provides a computer-readable storage medium that, when the instructions in the computer-readable storage medium are executed by a processor of an electronic device, enables the electronic device to perform a processing method for the capacity ramp-up process as described in the first aspect above.

[0009] The proposed method and apparatus for handling capacity ramp-up processes obtain the ramp-up state level of a battery object to derive a target ramp-up processing strategy for the battery object, and optimizes the capacity ramp-up process of the battery object based on the target ramp-up processing strategy. In this application, by optimizing the capacity ramp-up process of the battery object through the target ramp-up processing strategy, the consumption time of the capacity ramp-up process of the battery object is shortened, thereby shortening the cycle time of the battery object, and thus improving the testing efficiency of battery performance testing. In scenarios where battery optimization is based on performance test results, the efficiency and effect of battery performance optimization are improved, thereby improving the stability and safety of the components to which the battery belongs, and optimizing the user experience.

[0010] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0011] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein:

[0012] Figure 1 This is a flowchart illustrating a capacity ramp-up process according to an embodiment of this application.

[0013] Figure 2 This is a flowchart illustrating a capacity ramp-up process according to another embodiment of this application.

[0014] Figure 3 This is a schematic diagram of a battery object based on a 1C / 1C charge / discharge rate cycle according to an embodiment of this application;

[0015] Figure 4 This is a schematic diagram of a battery object based on a 0.5C / 0.5C charge / discharge rate cycle according to an embodiment of this application;

[0016] Figure 5 A comparative schematic diagram illustrating the optimization of the capacity ramp-up process of a battery object according to an embodiment of this application;

[0017] Figure 6 A comparative schematic diagram illustrating the optimization of the capacity ramp-up process for a battery object according to another embodiment of this application;

[0018] Figure 7 A comparative schematic diagram illustrating the optimization of the capacity ramp-up process for a battery object according to another embodiment of this application;

[0019] Figure 8 A comparative schematic diagram illustrating the optimization of the capacity ramp-up process for a battery object according to another embodiment of this application;

[0020] Figure 9A comparative schematic diagram illustrating the optimization of the capacity ramp-up process for a battery object according to another embodiment of this application;

[0021] Figure 10 A comparative schematic diagram illustrating the optimization of the capacity ramp-up process for a battery object according to another embodiment of this application;

[0022] Figure 11 This is a schematic diagram of the structure of a processing device for a capacity ramp-up process according to an embodiment of this application;

[0023] Figure 12 This is a block diagram of an electronic device according to an embodiment of this application. Detailed Implementation

[0024] The embodiments of this application are described in detail below. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0025] The following description, with reference to the accompanying drawings, describes the processing method, apparatus, equipment, and medium for the capacity ramp-up process according to embodiments of this application.

[0026] Figure 1 This is a flowchart illustrating a capacity ramp-up process according to an embodiment of this application, as shown below. Figure 1 As shown, the method includes:

[0027] S101, obtain the battery object to be processed, and obtain the ramp status level of the battery object.

[0028] In a real-world technical environment, lithium batteries can cycle at room temperature. As the cycle progresses, the battery capacity will rise to its peak and then decrease. In this scenario, the process of the lithium battery capacity rising from its initial state to its peak capacity can be defined as the capacity ramp-up process of the lithium battery.

[0029] Optionally, the capacity ramp-up process of lithium batteries may take too long. In this scenario, it is necessary to optimize the capacity ramp-up process of lithium batteries to shorten the time required. In this case, the batteries that need to undergo capacity ramp-up processing can be identified as the battery objects to be processed.

[0030] In this embodiment of the application, a corresponding processing strategy can be determined based on the ramping situation of the battery object. Specifically, the ramping situations that the battery object may encounter can be classified into different levels, and the current ramping level of the battery object can be marked as its corresponding ramping state level.

[0031] S102, based on the ramp state level, obtain the target ramp processing strategy for the battery object from the preset candidate ramp processing strategies.

[0032] In this embodiment of the application, the processing optimization strategies for the capacity ramping process of battery objects at different ramping state levels may differ.

[0033] Optionally, strategies that can handle the capacity ramping process of the battery can be obtained and marked as candidate ramping processing strategies. In this scenario, based on the ramping state level of the battery object that needs to be processed, a candidate ramping processing strategy that can optimize the capacity ramping process of the battery object can be selected from all the candidate ramping processing strategies, and this strategy can be determined as the target ramping processing strategy to be used when the battery object performs the capacity ramping process.

[0034] S103, based on the target ramp-up processing strategy, optimizes the capacity ramp-up process of the battery object.

[0035] In this embodiment of the application, the specific operation steps required for the battery object to perform the capacity ramp-up process and the corresponding operation conditions can be obtained based on the obtained target ramp-up processing strategy.

[0036] Furthermore, based on the obtained specific operation steps and the corresponding operation conditions, the operations are performed sequentially to optimize the capacity ramp-up process of the battery object.

[0037] The capacity ramp-up process proposed in this application obtains the ramp-up state level of the battery object to derive a target ramp-up processing strategy for the battery object, and optimizes the capacity ramp-up process of the battery object based on the target ramp-up processing strategy. In this application, by optimizing the capacity ramp-up process of the battery object through the target ramp-up processing strategy, the consumption time of the capacity ramp-up process of the battery object is shortened, thereby shortening the cycle time of the battery object and improving the testing efficiency of battery performance testing. In scenarios where battery optimization is based on performance test results, the efficiency and effect of battery performance optimization are improved, thereby improving the stability and safety of the battery-related components and optimizing the user experience.

[0038] In the above embodiments, the method for handling the battery capacity ramp-up process can be combined with... Figure 2 To understand further, Figure 2 This is a flowchart illustrating a capacity ramp-up process according to another embodiment of this application, as shown below. Figure 2 As shown, the method includes:

[0039] S201, collect information about the battery object to obtain its material parameters.

[0040] In this embodiment of the application, information can be collected on the battery object based on the information collection method in the related technology to obtain the relevant attribute parameters of the constituent materials of the battery object, and then determined as the material parameters of the battery object.

[0041] S202, obtain the material ramp information corresponding to the material parameters, and determine the ramp status level of the battery object based on the material ramp information.

[0042] In this embodiment of the application, the ramp state level of the battery object is related to the constituent materials of the battery object to a certain extent. In this scenario, the ramp state level of the battery object can be determined based on the reference ramp information corresponding to the material parameters of the battery object.

[0043] Optionally, a list of corresponding information consisting of material parameters and reference ramp information for various battery components can be obtained, and the reference ramp information corresponding to the material parameters of the battery object to be processed can be obtained from the information list and determined as the material ramp information of the battery object.

[0044] Furthermore, the material climbing information is classified into levels based on a preset climbing level classification strategy. The strategy matching the material climbing information can be obtained from the climbing level classification strategy, and the level corresponding to the strategy is determined as the climbing status level of the battery object corresponding to the material climbing information.

[0045] As an example, such as Figure 3 As shown, Figure 3 For the loop curves of battery object A, battery object B, and battery object C, in Figure 3 In the scenario shown, battery objects A, B, and C are cycled through a constant current charging process of 1C to 3.65V, a constant voltage charging process to a cutoff current of 0.05C, and a discharge process of 1C to 2.5V.

[0046] Depend on Figure 3 It can be seen that the peak ramp-up of battery object A is 1%, and the time it takes to ramp up its capacity to the peak capacity is 30 weeks; the peak ramp-up of battery object B is 3.7%, and the time it takes to ramp up its capacity to the peak capacity is 200 weeks; the peak ramp-up of battery object C is 6.3%, and the time it takes to ramp up its capacity to the peak capacity is 200 weeks.

[0047] This can be understood as follows: the material parameters of battery A correspond to a peak ramp rate of 1%, and the time required for its capacity to ramp up to the peak capacity is 30 weeks; the material parameters of battery B correspond to a peak ramp rate of 3.7%, and the time required for its capacity to ramp up to the peak capacity is 200 weeks; the material parameters of battery C correspond to a peak ramp rate of 6.3%, and the time required for its capacity to ramp up to the peak capacity is 200 weeks.

[0048] Then in Figure 3 In the scenario shown, the ramp state level corresponding to battery object A can be determined as the level corresponding to a slight ramp state, the ramp state level corresponding to battery object B can be determined as the level corresponding to a moderate ramp state, and the ramp state level corresponding to battery object C can be determined as the level corresponding to a severe ramp state.

[0049] As another example, such as Figure 4 As shown, Figure 3 For the loop curves of battery object A, battery object B, and battery object C, in Figure 4 In the scenario shown, battery objects A, B, and C are cycled through a constant current charging process of 0.5C to 3.65V, a constant voltage charging process to a cutoff current of 0.05C, and a discharge process of 0.5C to 2.5V.

[0050] Depend on Figure 4 It can be seen that the peak ramp-up of battery A is 0.3%, and the time it takes to ramp up its capacity to the peak capacity is 15 weeks; the peak ramp-up of battery B is 1.8%, and the time it takes to ramp up its capacity to the peak capacity is 100 weeks; and the peak ramp-up of battery C is 2.7%, and the time it takes to ramp up its capacity to the peak capacity is 200 weeks.

[0051] This can be understood as follows: the material parameters of battery A correspond to a peak ramp-up of 0.3%, and the time required for its capacity to ramp up to the peak capacity is 15 weeks; the material parameters of battery B correspond to a peak ramp-up of 1.8%, and the time required for its capacity to ramp up to the peak capacity is 100 weeks; the material parameters of battery C correspond to a peak ramp-up of 2.7%, and the time required for its capacity to ramp up to the peak capacity is 200 weeks.

[0052] Then in Figure 4 In the scenario shown, the ramp state level corresponding to battery object A can be determined as the level corresponding to a slight ramp state, the ramp state level corresponding to battery object B can be determined as the level corresponding to a moderate ramp state, and the ramp state level corresponding to battery object C can be determined as the level corresponding to a severe ramp state.

[0053] S203, based on the ramp state level, obtain the target ramp processing strategy for the battery object from the preset candidate ramp processing strategies.

[0054] In this embodiment of the application, the climbing status level may include the corresponding level of slight climbing status, the corresponding level of moderate climbing status, and the corresponding level of severe climbing status. In this scenario, the corresponding level of slight climbing status can be determined as the first level, the corresponding level of moderate climbing status can be determined as the second level, and the corresponding level of severe climbing status can be determined as the third level.

[0055] Optionally, in response to the ramp state level being the first level, a candidate ramp processing strategy that maintains a constant charging rate and performs stepped discharge is selected from the candidate ramp processing strategies and used as the target ramp processing strategy for the battery object.

[0056] In this embodiment of the application, when the ramp-up state level of the battery object is the first level, it can be determined that the battery object is in a slight ramp-up state. This can be understood as the battery object in the first level having a shorter ramp-up time.

[0057] In this scenario, the capacity ramping process of the battery object can be optimized by discharging the battery object at multiple stepped discharge rates while keeping the charging rate constant. Furthermore, a strategy that can achieve the above implementation can be selected from the candidate ramping processing strategies and used as the target ramping processing strategy when optimizing the capacity ramping process of the battery object.

[0058] Optionally, in response to the ramp state level being the second level, a candidate ramp processing strategy that maintains a constant charging rate and performs stepped discharge is selected from the candidate ramp processing strategies and used as the target ramp processing strategy for the battery object.

[0059] In this embodiment of the application, when the ramp-up state level of the battery object is the second level, it can be determined that the battery object is in a moderate ramp-up state. This can be understood as the battery object in the second level having a longer ramp-up time than the battery object in the first level, and a shorter ramp-up time than the battery object in the third level.

[0060] As one possible implementation, for battery objects at the second level, the capacity ramping process of the battery object can be optimized by discharging the battery object through multiple stepped discharge rates while keeping the charging rate constant. Furthermore, a strategy that can achieve the above implementation can be selected from the candidate ramping processing strategies and used as the target ramping processing strategy when optimizing the capacity ramping process of the battery object.

[0061] As another possible implementation, in response to the ramp state level being the second level, a candidate ramp processing strategy that maintains the charge / discharge rate and allows the battery to rest is obtained from the candidate ramp processing strategies and used as the target ramp processing strategy for the battery object.

[0062] This can be understood as follows: for battery objects in the second level, the battery object can be subjected to battery static treatment based on a preset static treatment strategy while keeping the charge and discharge rate unchanged. Candidate ramping treatment strategies that can achieve the above operation can be obtained from the candidate ramping treatment strategies and used as the target ramping treatment strategy when optimizing the capacity ramping process of the battery object.

[0063] Optionally, in response to the ramp state level being the third level, a candidate ramp processing strategy that maintains a constant charging rate and performs stepped discharge is selected from the candidate ramp processing strategies and used as the target ramp processing strategy for the battery object.

[0064] In this embodiment of the application, when the ramp-up status level of the battery object is the third level, it can be determined that the battery object is in a severe ramp-up state. This can be understood as the battery object in the third level having a longer capacity ramp-up time compared to the battery object in the second level.

[0065] As one possible implementation, for battery objects at the third level, the capacity ramping process of the battery object can be optimized by discharging the battery object through multiple stepped discharge rates while keeping the charging rate constant. Furthermore, a strategy that can achieve the above implementation can be selected from the candidate ramping processing strategies and used as the target ramping processing strategy when optimizing the capacity ramping process of the battery object.

[0066] As another possible discovery method, in response to the third level of the ramp state, a candidate ramp processing strategy for which the battery is left to stand still and undergoes stepped discharge is obtained from the candidate ramp processing strategies and used as the target ramp processing strategy for the battery object.

[0067] This can be understood as follows: for battery objects at the third level, they can be placed in a static state based on a preset battery static state strategy, and discharged through multiple stepped discharge rates to optimize the capacity ramping process of the battery object. Furthermore, a strategy that can achieve the above implementation method is selected from the candidate ramping process strategies and used as the target ramping process strategy when optimizing the capacity ramping process of the battery object.

[0068] S204 optimizes the capacity ramping process of the battery object based on the target ramping strategy.

[0069] Optionally, in response to the ramping state level being the first level, based on the target ramping processing strategy, a charge rate maintenance operation is performed on the battery object, and the battery object is discharged sequentially based on each of the first target stepped discharge rates in the first target stepped discharge rate set, in order to optimize the capacity ramping process of the battery object, wherein the first target stepped discharge rate set is obtained from a preset candidate stepped discharge rate set.

[0070] In this embodiment of the application, when the ramping state level of the battery object is the first level, the current charging rate of the battery object and multiple discharge rates used by the battery object when performing stepped discharge can be obtained through the target ramping strategy. The multiple discharge rates can be selected from multiple candidate discharge rates preset by the battery.

[0071] In this process, multiple candidate discharge rates that are selected for use in stepped discharge of the selected battery can be marked as multiple preset candidate stepped discharge rates and formed into a set of candidate stepped discharge rates. Further, multiple discharge rates that are used for stepped discharge of the battery object can be selected from the set of candidate stepped discharge rates and determined as multiple first target stepped discharge rates of the battery object, thereby obtaining a set of first target stepped discharge rates of the battery object in the current scenario composed of each first target stepped discharge rate.

[0072] In this scenario, the battery object can be kept at the current charging rate and discharged sequentially according to the preset discharge rate order, based on each of the first target step discharge rate sets, thereby optimizing the capacity ramp-up process of the battery object.

[0073] As an example, setting Figure 5 The battery object shown has a charging rate of 1C, and the first target stepped discharge rate set includes 1C, 0.33C, and 0.1C, as shown. Figure 5As shown, the battery can be kept at a constant 1C charging rate, and discharged sequentially at 1C, 0.33C, and 0.1C rates in the order of 1C→0.33C→0.1C until it reaches a preset voltage of 2.5V. Figure 5 The capacity ramp-up process of the battery object shown is optimized.

[0074] Depend on Figure 5 It can be seen that, compared to Figure 5 The total cycle time of the battery object shown is the same as that of the battery object whose capacity ramp-up process is optimized using the method proposed in this example.

[0075] As another example, setting Figure 6 The battery object shown has a charging rate of 0.5C, and the first target stepped discharge rate set includes 0.5C, 0.33C, and 0.1C, as shown. Figure 6 As shown, the battery can be kept at a constant charging rate of 0.5C, and then discharged sequentially at 0.5C, 0.33C, and 0.1C rates until it reaches a preset voltage of 2.5V. Figure 6 The capacity ramp-up process of the battery object shown is optimized.

[0076] Depend on Figure 6 It can be seen that, compared to Figure 6 The total cycle time of the battery object shown is the same as that of the battery object that was cycled at a charge rate of 0.5C and a discharge rate of 0.5C. The cycle time of the battery object optimized for capacity ramping using the method proposed in this example is shorter.

[0077] Optionally, in response to the ramping state level being the second level, based on the target ramping processing strategy, a charge rate holding operation is performed on the battery object, and the battery object is discharged sequentially based on each of the second target stepped discharge rates in the second target stepped discharge rate set, in order to optimize the capacity ramping process of the battery object, wherein the second target stepped discharge rate set is obtained from a preset candidate stepped discharge rate set.

[0078] In this embodiment, for battery objects at the second level, the charging rate is maintained based on the target ramp-up processing strategy, and the battery objects are discharged sequentially based on each of the second target step-discharge rates in the second target step-discharge rate set. The specific details of this process can be understood in conjunction with the relevant information on capacity ramp-up process optimization for battery objects at the first level in the above embodiments, and will not be repeated here.

[0079] Optionally, in response to the ramp state level being the second level, based on the target ramp processing strategy, the battery object is subjected to charge rate and discharge rate maintenance operations, and the battery object is subjected to static processing based on a preset first remaining power and a first duration, so as to optimize the capacity ramp process of the battery object.

[0080] In this embodiment of the application, for a battery object in the second level, the current charging rate and discharging rate of the battery object can be obtained based on the target ramping processing strategy, and the battery object can be kept charging and discharging based on the charging rate and discharging rate, and then left to stand still.

[0081] Specifically, the remaining charge that the battery object needs to retain when it is left to stand is obtained based on the target ramping processing strategy and marked as the first remaining charge of the battery object, and the standing time required for the battery object to stand is marked as the first standing time of the battery object. Further, the battery object is left to stand at room temperature for a first standing time based on the first remaining charge, thereby realizing the standing processing of the battery object.

[0082] Furthermore, based on the above-mentioned charging and discharging operations and battery resting operations, the capacity ramp-up process of the battery object is optimized.

[0083] As an example, setting Figure 7 The battery object shown has a charging rate of 1C, and the second target stepped discharge rate set includes 1C, 0.33C, and 0.1C, as shown. Figure 7 As shown, the battery can be kept at a constant 1C charging rate, and discharged sequentially at 1C, 0.33C, and 0.1C rates in the order of 1C→0.33C→0.1C until it reaches a preset voltage of 2.5V. Figure 7 The capacity ramp-up process of the battery object shown is optimized.

[0084] like Figure 7 As shown, settings Figure 7 The battery object shown has a first remaining charge of 5%-10% and a first duration of 20 days. Therefore, in this example, it is also possible to... Figure 7 The battery shown maintains a constant 1C charge rate and 1C discharge rate. Figure 7 The battery objects shown are based on a first remaining charge of 5%-10% and a first resting period of 20 days, to assess... Figure 7 The capacity ramp-up process of the battery object shown is optimized.

[0085] Depend on Figure 7 It can be seen that, compared to Figure 7The total cycle time of the battery object shown is based on the 1C charging rate and 1C discharging rate cycle time. The cycle time of the battery object corresponding to the operation of keeping the charging rate constant and performing stepped discharge as proposed in this example is shorter.

[0086] like Figure 7 As shown, using the operation method proposed in this example, which maintains a constant charge / discharge rate and allows the battery to remain idle for a first time based on the first remaining charge, the ramp-up time to the peak capacity of 1.6% for the battery object is 30 cycles. From the relevant content of battery object B in the above embodiment, it is known that battery object B in the second level, when cycled based on a 1C charge rate and a 1C discharge rate, takes 200 cycles to ramp up to the peak capacity. Therefore, it can be seen that the operation method proposed in this example, which maintains a constant charge / discharge rate and allows the battery to remain idle for a first time based on the first remaining charge, can shorten the time required to reach the peak capacity. Figure 7 The diagram shows the ramp-up time of the battery object during the cycle to reach the battery peak, thereby optimizing the cycle time.

[0087] As another example, setting Figure 8 The battery object shown has a charging rate of 0.5C, and the second target stepped discharge rate set includes 0.5C, 0.33C, and 0.1C, as shown. Figure 8 As shown, the battery can be kept at a constant charging rate of 0.5C, and then discharged sequentially at 0.5C, 0.33C, and 0.1C rates until it reaches a preset voltage of 2.5V. Figure 8 The capacity ramp-up process of the battery object shown is optimized.

[0088] like Figure 8 As shown, settings Figure 8 The battery object shown has a first remaining charge of 5%-10% and a first duration of 20 days. Therefore, in this example, it is also possible to... Figure 8 The battery shown maintains a constant charge rate of 0.5C and a discharge rate of 0.5C. Figure 8 The battery objects shown are based on a first remaining charge of 5%-10% and a first resting period of 20 days, to assess... Figure 8 The capacity ramp-up process of the battery object shown is optimized.

[0089] Depend on Figure 8 It can be seen that, compared to Figure 8 The total cycle time of the battery object shown is based on cycling at a 0.5C charge rate and a 0.5C discharge rate. The battery object with a shorter cycle time, achieved by maintaining a constant charge rate and performing stepped discharge as described in this example, is further shown. Figure 8 It can be seen that by using the operation method of keeping the charging rate constant and performing stepped discharge as proposed in this example, the capacity ramp-up process of the battery object can be eliminated.

[0090] like Figure 8 As shown, the operation method proposed in this example, which maintains a constant charge / discharge rate and allows the battery to remain idle for a first time based on a first remaining charge, shortens the time required for operation. Figure 8 The battery object shown maintains its battery capacity below 100% for a period of time, thereby achieving... Figure 8 The optimization of the cycling process for the battery object is shown.

[0091] Optionally, in response to the ramping state level being the third level, based on the target ramping processing strategy, a charge rate maintenance operation is performed on the battery object, and the battery object is discharged sequentially based on each of the third target stepped discharge rates in the third target stepped discharge rate set to optimize the capacity ramping process of the battery object. The third target stepped discharge rate set is obtained from a preset candidate stepped discharge rate set.

[0092] In this embodiment, for battery objects at the third level, the charging rate is maintained based on the target ramp-up processing strategy, and the battery objects are discharged sequentially based on each of the third target step-discharge rates in the third target step-discharge rate set. The specific details of this process can be understood in conjunction with the relevant information on capacity ramp-up process optimization for battery objects at the first level in the above embodiments, and will not be repeated here.

[0093] Optionally, in response to the ramping state level being the third level, based on the target ramping processing strategy, the battery object is placed in a static state based on the preset second remaining power and second duration, and the battery object is discharged sequentially based on each of the fourth target stepped discharge rates in the fourth target stepped discharge rate set to optimize the capacity ramping process of the battery object, wherein the fourth target stepped discharge rate set is obtained from the candidate stepped discharge rate set.

[0094] In this embodiment of the application, for a battery object at the third level, the current charging rate and discharging rate of the battery object can be obtained based on the target ramping processing strategy, and the battery object can be kept charging and discharging based on the charging rate and discharging rate, and then left to stand still.

[0095] Specifically, the remaining charge that the battery object needs to retain when it is left to stand is obtained based on the target ramping processing strategy and marked as the second remaining charge of the battery object, and the standing time required for the battery object to stand is marked as the second standing time of the battery object. Further, the battery object is left to stand at room temperature for a second time based on the second remaining charge, thereby realizing the standing processing of the battery object.

[0096] Optionally, for a battery object at the third level, the current charging rate of the battery object and multiple discharge rates used by the battery object when performing stepped discharge can be obtained based on the target ramping processing strategy, and these multiple discharge rates can be marked as multiple fourth target stepped discharge rates, thereby obtaining the fourth target stepped discharge rate set of the battery object.

[0097] Among them, multiple fourth target step discharge rates used by the battery object when performing step discharge can be screened from the candidate step discharge rate set, thereby obtaining the fourth target step discharge rate set of the battery object.

[0098] In this scenario, the battery object can be kept at the current charging rate and discharged sequentially according to the preset discharge rate order, based on each of the fourth target step discharge rates, thereby optimizing the capacity ramp-up process of the battery object.

[0099] As an example, setting Figure 9 The battery object shown has a charging rate of 1C, a third target stepped discharge rate set of the battery object including 1C, 0.33C and 0.1C, and a fourth target stepped discharge rate set of the battery object including 1C, 0.33C and 0.1C.

[0100] like Figure 9 As shown, the battery can be kept at a constant 1C charging rate, and discharged sequentially based on the third target stepped discharge rate set, including 1C, 0.33C, and 0.1C, according to the discharge rate sequence of 1C→0.33C→0.1C, until the battery reaches a preset 2.5V, in order to... Figure 9 The capacity ramp-up process of the battery object shown is optimized.

[0101] And, settings Figure 9 The second remaining charge of the battery object shown is 5%-10% remaining charge, and the second duration is 30 days.

[0102] like Figure 9As shown, the battery can also be discharged sequentially based on the discharge rate sequence of 1C→0.33C→0.1C, using the 1C, 0.33C, and 0.1C values ​​included in the fourth target stepped discharge rate set, until the battery reaches the preset 2.5V. Figure 9 The battery shown will maintain a constant charging rate of 1C. Figure 9 The battery objects shown are based on a second remaining charge of 5%-10% and a 30-day resting period, to assess... Figure 9 The capacity ramp-up process of the battery object shown is optimized.

[0103] Depend on Figure 9 It can be seen that, compared to Figure 9 The cycle time of the battery object shown is based on a 1C charging rate and a 1C discharging rate. By using the operation method proposed in this example, which maintains a constant charging rate, performs stepped discharge, and allows the battery to rest, the cycle time of the battery object can be shortened.

[0104] like Figure 9 As shown, this example illustrates the operation method of maintaining a constant charging rate and performing stepped discharge. Figure 9 The illustrated battery object's ramp-up time to reach a peak capacity of 1.3% is 40 cycles. Based on the relevant content of battery object C proposed in the above embodiments, it is known that a battery object at level three, in a 1C charge rate and 1C discharge rate cycle, takes 200 cycles to reach a peak capacity of 6.3%. Therefore, it can be seen that the operation method proposed in this example, which maintains a constant charge rate and performs stepped discharge, can shorten the time required for peak capacity. Figure 9 The diagram shows the ramp-up time of the battery object during the cycle to reach the battery peak, thereby optimizing the cycle time.

[0105] As another example, setting Figure 10 The battery object shown has a charging rate of 0.5C, and the third target stepped discharge rate set of the battery object includes 0.5C, 0.33C and 0.1C.

[0106] like Figure 10 As shown, the battery can be kept at a constant charging rate of 0.5C, and discharged sequentially based on the discharge rate sequence of 0.5C→0.33C→0.1C, using the 0.5C, 0.33C, and 0.1C rates included in the third target stepped discharge rate set, until the battery reaches a preset 2.5V, in order to... Figure 10 The capacity ramp-up process of the battery object shown is optimized.

[0107] And, settings Figure 10The second remaining charge of the battery object shown is 5%-10% remaining charge, and the second duration is 30 days.

[0108] like Figure 10 As shown, it is also possible to keep the battery object at a constant charging rate of 0.5C and a discharging rate of 0.5C, and to... Figure 10 The battery objects shown are based on a second remaining charge of 5%-10% and a 30-day resting period, to assess... Figure 10 The capacity ramp-up process of the battery object shown is optimized.

[0109] Depend on Figure 10 It can be seen that, compared to Figure 10 The cycle time of the battery object shown is based on a 0.5C charge rate and a 0.5C discharge rate. By maintaining a constant charge rate and performing stepped discharge as proposed in this example, the cycle time of the battery object can be shortened.

[0110] like Figure 10 As shown, based on the operation method of maintaining a constant charging rate and allowing the battery to rest proposed in this example, the peak capacity of the battery object is 0.8%, and the time to climb to the peak capacity is 30 weeks. Based on the relevant content of battery object C proposed in the above embodiments, it is known that for a battery object at level three, the climbing time to reach the peak capacity of 2.7% in a cycle of 0.5C charging rate and 0.5C discharging rate is 200 weeks. Therefore, it can be seen that the operation method of maintaining a constant charging rate and allowing the battery to rest proposed in this example can shorten the time required to reach the peak capacity of 2.7%. Figure 10 The diagram shows the ramp-up time of the battery object during the cycle to reach the battery peak, thereby optimizing the cycle time.

[0111] It should be noted that, in Figure 10 In the scenario shown, using a stepped discharge method can eliminate the ramp-up situation. By allowing the battery to rest, the peak capacity ramp-up of the battery and the time taken to ramp up to the peak capacity can be optimized, thereby achieving... Figure 10 This demonstrates the optimization of the battery object in the scenario.

[0112] It should be noted that the battery object proposed in the above embodiments can be a battery object that has been decommissioned for capacity testing, or it can be other types of battery objects, which are not specifically limited here.

[0113] S205, perform a cycle evaluation on the battery object to obtain a cycle evaluation report of the battery object, and optimize the battery object based on the cycle evaluation report.

[0114] In this embodiment of the application, the capacity ramping process of the battery object is optimized by a target ramping processing strategy, thereby optimizing the room temperature cycling process of the battery object.

[0115] In this scenario, the cycling process of the battery object can be evaluated to optimize the capacity ramp-up process, and an evaluation report of the cycling process of the battery object can be generated based on the evaluation results, which is then identified as the cycling evaluation report of the battery object.

[0116] Optionally, after obtaining the cycle evaluation report of the battery object, the performance parameters of the battery object can be obtained through the cycle time of the battery object and the capacity ramp-up related parameters during the cycle included in the cycle evaluation report. Furthermore, a performance optimization strategy for the battery object can be generated based on the obtained performance parameters, thereby achieving performance optimization of the battery object.

[0117] The capacity ramp-up process method proposed in this application optimizes the capacity ramp-up process of the battery object through a target ramp-up processing strategy, shortening the consumption time of the capacity ramp-up process of the battery object. In the scenario of battery performance testing, it shortens the testing time of battery performance testing and improves the testing efficiency of battery performance testing. In the scenario of battery optimization based on performance test results, it improves the efficiency and effect of battery performance optimization, thereby improving the stability and safety of the battery components and optimizing the user experience.

[0118] Corresponding to the capacity ramping process processing methods proposed in the above embodiments, an embodiment of this disclosure also proposes a capacity ramping process processing device. Since the capacity ramping process processing device proposed in this disclosure corresponds to the capacity ramping process processing methods proposed in the above embodiments, the implementation methods of the above capacity ramping process processing methods are also applicable to the capacity ramping process processing device proposed in this disclosure, and will not be described in detail in the following embodiments.

[0119] Figure 11 This is a schematic diagram of the structure of a processing apparatus for a capacity ramp-up process according to an embodiment of the present disclosure, as shown below. Figure 11 As shown, the processing device 1100 for the capacity ramp-up process includes a first acquisition module 111, a second acquisition module 112, and an optimization module 113, wherein:

[0120] The first acquisition module 111 is used to acquire the battery object to be processed and to acquire the ramp status level of the battery object;

[0121] The second acquisition module 112 is used to acquire the target ramping processing strategy of the battery object from the preset candidate ramping processing strategies based on the ramping state level.

[0122] The optimization module 113 is used to optimize the capacity ramping process of the battery object based on the target ramping processing strategy.

[0123] In this embodiment of the application, the first acquisition module 111 is further configured to: collect information on the battery object to obtain the material parameters of the battery object; obtain the material ramp information corresponding to the material parameters, and determine the ramp status level of the battery object based on the material ramp information.

[0124] In this embodiment of the application, the second acquisition module 112 is further configured to: in response to the ramp state level being the first level, acquire from the candidate ramp processing strategies a candidate ramp processing strategy that maintains a constant charging rate and performs stepped discharge, and use it as the target ramp processing strategy for the battery object.

[0125] In this embodiment of the application, the optimization module 113 is further configured to: respond to the ramping state level being the first level, perform a charging rate maintenance operation on the battery object based on the target ramping processing strategy, and sequentially perform discharge processing on the battery object based on each of the first target stepped discharge rates in the first target stepped discharge rate set, so as to optimize the capacity ramping process of the battery object, wherein the first target stepped discharge rate set is obtained from a preset candidate stepped discharge rate set.

[0126] In this embodiment of the application, the second acquisition module 112 is further configured to: in response to the ramp state level being the second level, acquire from the candidate ramp processing strategies a candidate ramp processing strategy that maintains a constant charging rate and performs stepped discharge, and use as the target ramp processing strategy for the battery object; and / or, in response to the ramp state level being the second level, acquire from the candidate ramp processing strategies a candidate ramp processing strategy that maintains a constant charging and discharging rate and performs battery rest, and use as the target ramp processing strategy for the battery object.

[0127] In this embodiment of the application, the optimization module 113 is further configured to: respond to the ramp state level being the second level, perform a charge rate maintenance operation on the battery object based on the target ramp processing strategy, and sequentially perform discharge processing on the battery object based on each of the second target stepped discharge rates in the second target stepped discharge rate set, so as to optimize the capacity ramp process of the battery object, wherein the second target stepped discharge rate set is obtained from a preset candidate stepped discharge rate set; and / or, respond to the ramp state level being the second level, perform a charge rate and discharge rate maintenance operation on the battery object based on the target ramp processing strategy, and perform a static processing on the battery object based on a preset first remaining charge and a first duration, so as to optimize the capacity ramp process of the battery object.

[0128] In this embodiment of the application, the second acquisition module 112 is further configured to: in response to the ramp state level being the third level, acquire a candidate ramp processing strategy from the candidate ramp processing strategies that maintains a constant charging rate and performs stepped discharge, and use it as the target ramp processing strategy for the battery object; and / or, in response to the ramp state level being the third level, acquire a candidate ramp processing strategy from the candidate ramp processing strategies that allows the battery to remain stationary and performs stepped discharge, and use it as the target ramp processing strategy for the battery object.

[0129] In this embodiment of the application, the optimization module 113 is further configured to: in response to the ramping state level being the third level, perform a charging rate maintenance operation on the battery object based on the target ramping processing strategy, and sequentially discharge the battery object based on each of the third target stepped discharge rates in the third target stepped discharge rate set to optimize the capacity ramping process of the battery object, wherein the third target stepped discharge rate set is obtained from a preset candidate stepped discharge rate set; and / or, in response to the ramping state level being the third level, based on the target ramping processing strategy, perform a static processing on the battery object based on the preset second remaining power and second duration, and sequentially discharge the battery object based on each of the fourth target stepped discharge rates in the fourth target stepped discharge rate set to optimize the capacity ramping process of the battery object, wherein the fourth target stepped discharge rate set is obtained from the candidate stepped discharge rate set.

[0130] In this embodiment of the application, the device further includes an evaluation module, used to: perform a cycle evaluation on the battery object, obtain a cycle evaluation report of the battery object, and optimize the battery object based on the cycle evaluation report.

[0131] The capacity ramp-up process processing apparatus proposed in this application obtains the ramp-up state level of a battery object to derive a target ramp-up processing strategy for the battery object, and optimizes the capacity ramp-up process of the battery object based on the target ramp-up processing strategy. In this application, by optimizing the capacity ramp-up process of the battery object through the target ramp-up processing strategy, the consumption time of the capacity ramp-up process of the battery object is shortened, thereby shortening the cycle time of the battery object, and thus improving the testing efficiency of battery performance testing. In scenarios where battery optimization is based on performance test results, the efficiency and effect of battery performance optimization are improved, thereby improving the stability and safety of the components to which the battery belongs, and optimizing the user experience.

[0132] To achieve the above embodiments, this application also provides an electronic device, a computer-readable storage medium, and a computer program product.

[0133] Figure 12 A block diagram of an electronic device according to an embodiment of this application, as shown below. Figure 12As shown, device 1200 includes memory 121, processor 122, and a computer program stored in memory 121 and executable on processor 122. When processor 121 executes program instructions, it implements the execution of... Figures 1 to 10 The embodiment proposes a method for handling the capacity ramp-up process.

[0134] To implement the above embodiments, this application also provides a non-transitory computer-readable storage medium storing computer instructions for causing a computer to execute... Figures 1 to 10 The embodiment proposes a method for handling the capacity ramp-up process.

[0135] To implement the above embodiments, this application also provides a computer program product that, when the instruction processor in the computer program product is executed, performs... Figures 1 to 10 The embodiment proposes a method for handling the capacity ramp-up process.

[0136] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0137] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "multiple" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0138] Any process or method described in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0139] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). In addition, computer-readable media can even be paper or other suitable media on which programs can be printed, because programs can be obtained electronically, for example, by optically scanning paper or other media, followed by editing, interpreting or otherwise processing as necessary, and then stored in computer memory.

[0140] It should be understood that various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0141] Those skilled in the art will understand that all or part of the steps of the methods described in the above embodiments can be implemented by a program instructing related hardware, and the program can be stored in a computer-readable storage medium. When executed, the program includes one or a combination of the steps of the method embodiments.

[0142] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0143] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.

Claims

1. A method for handling capacity ramp-up processes, characterized in that, The method includes: Obtain the battery object to be processed, collect information from the battery object, and obtain the material parameters of the battery object; Obtain the material ramp information corresponding to the material parameters. The material ramp information includes the ramp peak value of the battery object and the time taken for its capacity to ramp up to the capacity peak value. Determine the ramp status level of the battery object based on the ramp peak value and the time taken. When using 1C / 1C charge / discharge rate cycling, the ramp-up peak value is 1%, and the time taken to ramp up to the capacity peak value is 30 weeks; or when using 0.5C / 0.5C charge / discharge rate cycling, the ramp-up peak value is 0.3%, and the time taken to ramp up to the capacity peak value is 15 weeks. The ramp-up status level corresponding to this is determined as the first level. From the candidate ramping processing strategies, obtain the candidate ramping processing strategy that keeps the charging rate constant and performs stepped discharge, and use it as the target ramping processing strategy for the battery object. Based on the target ramp-up processing strategy, the battery object is subjected to a charge rate maintenance operation, and the battery object is discharged sequentially based on each of the first target stepped discharge rates in the first target stepped discharge rate set, so as to optimize the capacity ramp-up process of the battery object. The first target stepped discharge rate set is obtained from a preset candidate stepped discharge rate set.

2. A method for handling capacity ramp-up processes, characterized in that, The method includes: Obtain the battery object to be processed, collect information from the battery object, and obtain the material parameters of the battery object; Obtain the material ramp information corresponding to the material parameters. The material ramp information includes the ramp peak value of the battery object and the time taken for its capacity to ramp up to the capacity peak value. Determine the ramp status level of the battery object based on the ramp peak value and the time taken. When using 1C / 1C charge / discharge rate cycling, the ramp peak value is 3.7%, and the time taken to ramp up to the capacity peak value is 200 cycles; or when using 0.5C / 0.5C charge / discharge rate cycling, the ramp peak value is 1.8%, and the time taken to ramp up to the capacity peak value is 100 cycles. The ramp status level corresponding to these two values ​​is determined as Level 2. From the candidate ramp-up strategies, a candidate ramp-up strategy that maintains a constant charging rate while performing stepped discharge is selected as the target ramp-up strategy for the battery object; and / or, From the candidate ramping processing strategies, obtain the candidate ramping processing strategy that keeps the charge and discharge rate constant and allows the battery to rest, and use it as the target ramping processing strategy for the battery object. Based on the target ramp-up processing strategy, the battery object is subjected to a charge rate maintenance operation, and the battery object is discharged sequentially based on each of the second target stepped discharge rates in the second target stepped discharge rate set, in order to optimize the capacity ramp-up process of the battery object. The second target stepped discharge rate set is obtained from a preset candidate stepped discharge rate set; and / or, Based on the target ramp-up processing strategy, the battery object is subjected to charge rate and discharge rate maintenance operations, and the battery object is subjected to static processing based on a preset first remaining power and a first duration, so as to optimize the capacity ramp-up process of the battery object.

3. A method for handling capacity ramp-up processes, characterized in that, The method includes: Obtain the battery object to be processed, collect information from the battery object, and obtain the material parameters of the battery object; Obtain the material ramp information corresponding to the material parameters. The material ramp information includes the ramp peak value of the battery object and the time taken for its capacity to ramp up to the capacity peak value. Determine the ramp status level of the battery object based on the ramp peak value and the time taken. When using 1C / 1C charge / discharge rate cycling, the ramp peak value is 6.3%, and the time taken to ramp up to the capacity peak value is 200 cycles; or when using 0.5C / 0.5C charge / discharge rate cycling, the ramp peak value is 2.7%, and the time taken to ramp up to the capacity peak value is 200 cycles. The ramp status level corresponding to these two values ​​is determined to be Level 3. From the candidate ramp-up strategies, a candidate ramp-up strategy that maintains a constant charging rate while performing stepped discharge is selected as the target ramp-up strategy for the battery object; and / or, From the candidate ramping processing strategies, a candidate ramping processing strategy for which the battery is left to stand still and undergoes stepped discharge is obtained, and this strategy is taken as the target ramping processing strategy for the battery object. Based on the target ramp-up processing strategy, the battery object is subjected to a charge rate maintenance operation, and the battery object is discharged sequentially based on each of the third target stepped discharge rates in the third target stepped discharge rate set to optimize the capacity ramp-up process of the battery object. The third target stepped discharge rate set is obtained from a preset candidate stepped discharge rate set; and / or, Based on the target ramp-up processing strategy, the battery object is left to stand still based on the preset second remaining power and second duration, and then discharged sequentially based on each of the fourth target stepped discharge rates in the fourth target stepped discharge rate set to optimize the capacity ramp-up process of the battery object. The fourth target stepped discharge rate set is obtained from the candidate stepped discharge rate set.

4. The method according to claim 1, 2, or 3, characterized in that, The method further includes: A cycle evaluation is performed on the battery object to obtain a cycle evaluation report of the battery object, and the battery object is optimized based on the cycle evaluation report.

5. A processing device for a capacity ramping process, characterized in that, The device includes: The first acquisition module is used to acquire the battery object to be processed, collect information from the battery object to obtain the material parameters of the battery object, acquire the material ramp information corresponding to the material parameters, the material ramp information includes the ramp peak of the battery object and the time taken for its capacity to ramp to the capacity peak, and determine the ramp status level of the battery object based on the ramp peak and the time. Specifically, when using 1C / 1C charge / discharge rate cycling, the ramp peak value is 1%, and the time taken to ramp up to the capacity peak value is 30 weeks; or when using 0.5C / 0.5C charge / discharge rate cycling, the ramp peak value is 0.3%, and the time taken to ramp up to the capacity peak value is 15 weeks. The ramp status level corresponding to these two values ​​is defined as the first level. The second acquisition module is used to acquire, from the candidate ramping processing strategies, a candidate ramping processing strategy that keeps the charging rate constant and performs step-by-step discharge, as the target ramping processing strategy for the battery object. An optimization module is used to perform a charge rate maintenance operation on the battery object based on the target ramp-up processing strategy, and sequentially discharge the battery object one by one based on each of the first target stepped discharge rates in the first target stepped discharge rate set, so as to optimize the capacity ramp-up process of the battery object, wherein the first target stepped discharge rate set is obtained from a preset candidate stepped discharge rate set.

6. A processing device for a capacity ramping process, characterized in that, The device includes: The first acquisition module is used to acquire the battery object to be processed, collect information from the battery object to obtain the material parameters of the battery object, acquire the material ramp information corresponding to the material parameters, the material ramp information includes the ramp peak of the battery object and the time taken for its capacity to ramp to the capacity peak, and determine the ramp status level of the battery object based on the ramp peak and the time. Specifically, when using 1C / 1C charge / discharge rate cycling, the ramp peak value is 3.7%, and the time taken to ramp up to the capacity peak value is 200 cycles; or when using 0.5C / 0.5C charge / discharge rate cycling, the ramp peak value is 1.8%, and the time taken to ramp up to the capacity peak value is 100 cycles. The ramp status level corresponding to these two values ​​is determined as the second level. The second acquisition module is used to acquire, from the candidate ramping processing strategies, a candidate ramping processing strategy that keeps the charging rate constant and performs stepped discharge, as the target ramping processing strategy for the battery object; and / or, from the candidate ramping processing strategies, acquire a candidate ramping processing strategy that keeps the charging and discharging rate constant and performs battery rest, as the target ramping processing strategy for the battery object. An optimization module is configured to perform a charge rate maintenance operation on the battery object based on the target ramp-up processing strategy, and sequentially discharge the battery object according to each of the second target stepped discharge rates in the second target stepped discharge rate set, in order to optimize the capacity ramp-up process of the battery object, wherein the second target stepped discharge rate set is obtained from a preset candidate stepped discharge rate set; and / or, based on the target ramp-up processing strategy, perform a charge rate and discharge rate maintenance operation on the battery object, and perform a static processing on the battery object based on a preset first remaining charge and a first duration, in order to optimize the capacity ramp-up process of the battery object.

7. A processing device for a capacity ramping process, characterized in that, The device includes: The first acquisition module is used to acquire the battery object to be processed, collect information from the battery object to obtain the material parameters of the battery object, acquire the material ramp information corresponding to the material parameters, the material ramp information includes the ramp peak of the battery object and the time taken for its capacity to ramp to the capacity peak, and determine the ramp status level of the battery object based on the ramp peak and the time. Specifically, when using 1C / 1C charge / discharge rate cycling, the ramp peak value is 6.3%, and the time taken to ramp up to the capacity peak value is 200 cycles; or when using 0.5C / 0.5C charge / discharge rate cycling, the ramp peak value is 2.7%, and the time taken to ramp up to the capacity peak value is 200 cycles. The ramp status level corresponding to these two values ​​is determined as Level 3. The second acquisition module is used to acquire, from the candidate ramping processing strategies, a candidate ramping processing strategy that keeps the charging rate constant and performs stepped discharge, as the target ramping processing strategy for the battery object; and / or, from the candidate ramping processing strategies, acquire a candidate ramping processing strategy that allows the battery to rest and performs stepped discharge, as the target ramping processing strategy for the battery object. An optimization module is configured to maintain the charging rate of the battery object based on the target ramp-up processing strategy, and sequentially discharge the battery object according to each of the third target stepped discharge rates in the third target stepped discharge rate set to optimize the capacity ramp-up process of the battery object, wherein the third target stepped discharge rate set is obtained from a preset candidate stepped discharge rate set; and / or, based on the target ramp-up processing strategy, perform a static processing on the battery object based on a preset second remaining charge and a second duration, and sequentially discharge the battery object according to each of the fourth target stepped discharge rates in the fourth target stepped discharge rate set to optimize the capacity ramp-up process of the battery object, wherein the fourth target stepped discharge rate set is obtained from the candidate stepped discharge rate set.

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