Processing method, device and equipment for capacity climbing process and medium

Abstract

The invention provides a capacity climbing process processing method and device, equipment and a medium, and the method comprises the steps: obtaining a to-be-processed battery object, and obtaining a climbing state grade of the battery object; obtaining a target climbing processing strategy of the battery object from preset candidate climbing processing strategies based on the climbing state grade; and based on the target climbing processing strategy, carrying out optimization processing of a capacity climbing process on the battery object. According to the method and the device, the capacity climbing process of the battery object is optimized through the target climbing processing strategy, so that 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; under the scene of battery optimization based on the performance test result, the battery performance optimization efficiency and optimization effect are improved, the operation stability and safety of the assembly to which the battery belongs are further improved, and the user experience is optimized.

Description

Technical Field

[0001] The present application relates to the field of battery technology, and in particular to a method, device, equipment and medium for processing a capacity ramping process. Background Art

[0002] With the development of technology, lithium batteries occupy an increasingly important position in people's work and life. In actual application, the performance of lithium batteries has a certain degree of impact on the stability and safety of related equipment operation.

[0003] Therefore, how to optimize the performance of lithium batteries is very important. Summary of the invention

[0004] The purpose of this application is to solve one of the technical problems in the above technology at least to a certain extent.

[0005] The first aspect of the present application provides a method for processing a capacity climbing process, comprising: 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 for the battery object from preset candidate climbing processing strategies; based on the target climbing processing strategy, optimizing the capacity climbing process of the battery object.

[0006] The second aspect of the present application provides a processing device for a capacity climbing process, including: a first acquisition module, used to acquire a battery object to be processed and acquire a climbing state level of the battery object; a second acquisition module, used to acquire a target climbing processing strategy for the battery object from preset candidate climbing processing strategies based on the climbing state level; an optimization module, used to optimize the capacity climbing process of the battery object based on the target climbing processing strategy.

[0007] The third aspect of the present disclosure proposes an electronic device, comprising: a processor; a memory for storing executable instructions of the processor; wherein the processor is configured to execute instructions to implement the processing method of the capacity ramping process proposed in the first aspect above.

[0008] The fourth aspect of the present disclosure proposes a computer-readable storage medium. When the instructions in the computer-readable storage medium are executed by a processor of an electronic device, the electronic device can execute the processing method of the capacity ramping process proposed in the first aspect above.

[0009] The processing method and device of the capacity climbing process proposed in the application obtain the climbing state level of the battery object to obtain the target climbing processing strategy of the battery object, and optimize the capacity climbing process of the battery object based on the target climbing processing strategy. In this application, the capacity climbing process of the battery object is optimized through the target climbing processing strategy, which shortens the consumption time of the capacity climbing process of the battery object, thereby shortening the cycle time of the battery object, and thus improving the test efficiency of the battery performance test. In the scenario of battery optimization based on the performance test results, the battery performance optimization efficiency and optimization effect are improved, thereby improving the stability and safety of the operation of the components to which the battery belongs, and optimizing the user experience.

[0010] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0012] Figure 1 A flowchart of a method for processing a capacity ramping process according to an embodiment of the present application;

[0013] Figure 2 A schematic flow chart of a method for processing a capacity ramping process according to another embodiment of the present application;

[0014] Figure 3 A schematic diagram of a battery object according to an embodiment of the present application based on a 1C / 1C charge and discharge rate cycle;

[0015] Figure 4 A schematic diagram of a battery object according to an embodiment of the present application based on a 0.5C / 0.5C charge and discharge rate cycle;

[0016] Figure 5 A comparative schematic diagram of the capacity ramping process optimization of a battery object according to an embodiment of the present application;

[0017] Figure 6 A comparative schematic diagram of the capacity ramping process optimization of a battery object according to another embodiment of the present application;

[0018] Figure 7 A comparative schematic diagram of the capacity ramping process optimization of a battery object according to another embodiment of the present application;

[0019] Figure 8 A comparative schematic diagram of the capacity ramping process optimization of a battery object according to another embodiment of the present application;

[0020] Fig. 9A comparative schematic diagram of the capacity ramping process optimization of a battery object according to another embodiment of the present application;

[0021] Fig.10 A comparative schematic diagram of the capacity ramping process optimization of a battery object according to another embodiment of the present application;

[0022] Fig.11 A schematic diagram of the structure of a processing device for a capacity ramping process according to an embodiment of the present application;

[0023] Fig.12 A block diagram of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

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

[0025] The following describes the processing method, device, equipment and medium of the capacity ramping process of the embodiments of the present application with reference to the accompanying drawings.

[0026] Figure 1 FIG. 1 is a flow chart of a method for processing a capacity ramping process according to an embodiment of the present application. Figure 1 As shown, the method includes:

[0027] S101, obtaining a battery object to be processed, and obtaining a climbing state level of the battery object.

[0028] In an actual technical environment, a lithium battery can be cycled at room temperature. As the cycle proceeds, the battery capacity of the lithium battery will rise to a capacity peak and then decline. In this scenario, the process of the battery capacity of the lithium battery rising from an initial state to a capacity peak can be determined as the capacity climbing process of the lithium battery.

[0029] Optionally, the time consumed by the capacity climbing process of the lithium battery may be too long. In this scenario, the capacity climbing process of the lithium battery needs to be optimized to shorten the time consumed by the capacity climbing process. The battery that needs to undergo the capacity climbing process can be identified as the battery object to be processed.

[0030] In an embodiment of the present application, a corresponding processing strategy can be determined according to the climbing conditions of the battery object, wherein the possible climbing conditions of the battery object can be classified into levels, and the current climbing level of the battery object can be marked as its corresponding climbing state level.

[0031] S102, based on the climbing state level, obtaining a target climbing processing strategy of the battery object from preset candidate climbing processing strategies.

[0032] In the embodiment of the present application, the processing optimization strategies for the capacity ramping process of battery objects at different ramping status levels may be different.

[0033] Optionally, a strategy capable of processing the capacity climbing process of the battery can be obtained and marked as a candidate climbing processing strategy. In this scenario, based on the climbing state level of the battery object that currently needs to be processed, a candidate climbing processing strategy capable of optimizing the capacity climbing process of the battery object can be screened out from all the candidate climbing processing strategies, and the strategy can be determined as the target climbing processing strategy adopted when the battery object performs the capacity climbing process.

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

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

[0036] Furthermore, operations are performed in sequence based on the acquired specific operation steps and the operation conditions corresponding to the specific operation steps, thereby achieving optimized processing of the capacity ramp-up process of the battery object.

[0037] The processing method of the capacity climbing process proposed in this application obtains the climbing state level of the battery object to obtain the target climbing processing strategy of the battery object, and optimizes the capacity climbing process of the battery object based on the target climbing processing strategy. In this application, the capacity climbing process of the battery object is optimized through the target climbing processing strategy, which shortens the consumption time of the capacity climbing process of the battery object, thereby shortening the cycle time of the battery object, thereby improving the test efficiency of the battery performance test, and in the scenario of battery optimization based on the performance test results, the battery performance optimization efficiency and optimization effect are improved, thereby improving the stability and safety of the operation of the components to which the battery belongs, and optimizing the user experience.

[0038] In the above embodiment, the processing method for the battery capacity ramp-up process can be combined with Figure 2 Further understanding, Figure 2 FIG. 1 is a flow chart of a method for processing a capacity ramping process according to another embodiment of the present application. Figure 2 As shown, the method includes:

[0039] S201, collecting information on a battery object to obtain material parameters of the battery object.

[0040] In the embodiment of the present application, information collection can be performed on the battery object based on the information collection method in the related art to obtain relevant property parameters of the constituent materials of the battery object and determine them as the material parameters of the battery object.

[0041] S202, obtaining material climbing information corresponding to the material parameters, and determining a climbing state level of the battery object based on the material climbing information.

[0042] In an embodiment of the present application, there is a certain degree of correlation between the climbing state level of the battery object and the constituent material of the battery object. In this scenario, the climbing state level of the battery object can be determined based on the reference climbing information corresponding to the material parameters of the battery object.

[0043] Optionally, a corresponding information list consisting of material parameters and reference climbing information of each of the preset multiple battery constituent materials can be obtained, and the reference climbing information corresponding to the material parameters of the battery object currently to be processed can be obtained from the information list to determine the material climbing information of the battery object.

[0044] Furthermore, the material climbing information is graded based on a preset climbing grade classification strategy, wherein a strategy matching the material climbing information can be obtained from the climbing grade classification strategy, and the grade corresponding to the strategy is determined as the climbing state grade of the battery object corresponding to the material climbing information.

[0045] As an example, Figure 3 As shown, Figure 3 are the cycle curves of battery object A, battery object B and battery object C. Figure 3 In the illustrated scenario, battery object A, battery object B, and battery object C are charged to 3.65V with a constant current of 1C, switched to a constant voltage to a cutoff current of 0.05C, and discharged to 2.5V with 1C for cycling.

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

[0047] It can be understood that the material climbing information corresponding to the material parameters of the constituent materials of battery object A is a climbing peak value of 1%, and the time it takes for its capacity to climb to the capacity peak value is 30 weeks; the material climbing information corresponding to the material parameters of the constituent materials of battery object B is a climbing peak value of 3.7%, and the time it takes for its capacity to climb to the capacity peak value is 200 weeks; the material climbing information corresponding to the material parameters of the constituent materials of battery object C is a climbing peak value of 6.3%, and the time it takes for its capacity to climb to the capacity peak value is 200 weeks.

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

[0049] As another example, Figure 4 As shown, Figure 3 are the cycle curves of battery object A, battery object B and battery object C. Figure 4 In the illustrated scenario, battery object A, battery object B, and battery object C are charged to 3.65V at a constant current of 0.5C, switched to a constant voltage to a cutoff current of 0.05C, and discharged to 2.5V at 0.5C for cycling.

[0050] Depend on Figure 4 It can be seen that the climbing peak value of battery object A is 0.3%, and the time it takes for its capacity to climb to the capacity peak is 15 weeks. The climbing peak value of battery object B is 1.8%, and the time it takes for its capacity to climb to the capacity peak is 100 weeks. The climbing peak value of battery object C is 2.7%, and the time it takes for its capacity to climb to the capacity peak is 200 weeks.

[0051] It can be understood that the material climbing information corresponding to the material parameters of the constituent materials of battery object A is a climbing peak value of 0.3%, and the time it takes for its capacity to climb to the capacity peak value is 15 weeks; the material climbing information corresponding to the material parameters of the constituent materials of battery object B is a climbing peak value of 1.8%, and the time it takes for its capacity to climb to the capacity peak value is 100 weeks; the material climbing information corresponding to the material parameters of the constituent materials of battery object C is a climbing peak value of 2.7%, and the time it takes for its capacity to climb to the capacity peak value is 200 weeks.

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

[0053] S203, based on the climbing state level, obtaining a target climbing processing strategy of the battery object from preset candidate climbing processing strategies.

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

[0055] Optionally, in response to the climbing state level being the first level, a candidate climbing processing strategy in which the charging rate remains unchanged and step-by-step discharge is obtained from the candidate climbing processing strategies as the target climbing processing strategy for the battery object.

[0056] In the embodiment of the present application, when the climbing state level of the battery object is the first level, it can be determined that the battery object is in a slight climbing state. It can be understood that the capacity climbing process of the battery object at the first level consumes less time.

[0057] In this scenario, the capacity climbing process of the battery object can be optimized by discharging the battery object through multiple step-by-step discharge rates while keeping the charging rate unchanged. Furthermore, a strategy that can implement the above-mentioned implementation method can be screened out from the candidate climbing processing strategies as the target climbing processing strategy used when optimizing the capacity climbing process of the battery object.

[0058] Optionally, in response to the climbing state level being the second level, a candidate climbing processing strategy in which the charging rate remains unchanged and step-by-step discharge is obtained from the candidate climbing processing strategies as the target climbing processing strategy for the battery object.

[0059] In an embodiment of the present application, when the climbing state level of the battery object is the second level, it can be determined that the battery object is in a moderate climbing state. It can be understood that the time consumed in the capacity climbing process of the battery object at the second level is longer than that consumed in the capacity climbing process of the battery object at the first level, and is shorter than that consumed in the capacity climbing process of the battery object at the third level.

[0060] As a possible implementation method, for battery objects at the second level, the capacity climbing process of the battery object can be optimized by discharging the battery object through multiple step-by-step discharge rates while keeping the charging rate unchanged. Furthermore, a strategy that can implement the above implementation method can be screened out from the candidate climbing processing strategies as the target climbing processing strategy used when optimizing the capacity climbing process of the battery object.

[0061] As another possible implementation, in response to the hill climbing state level being the second level, a candidate hill climbing processing strategy of keeping the charge and discharge rate unchanged and allowing the battery to rest is obtained from the candidate hill climbing processing strategies as the target hill climbing processing strategy for the battery object.

[0062] It can be understood that, for battery objects at the second level, the battery object can be subjected to battery rest processing based on a preset rest strategy while keeping the charge and discharge rate unchanged, and a candidate climbing processing strategy that can achieve the above operation can be obtained from the candidate climbing processing strategies as the target climbing processing strategy used when optimizing the capacity climbing process of the battery object.

[0063] Optionally, in response to the hill climbing state level being the third level, a candidate hill climbing processing strategy in which the charging rate remains unchanged and step-by-step discharge is obtained from the candidate hill climbing processing strategies as the target hill climbing processing strategy for the battery object.

[0064] In an embodiment of the present application, when the climbing state level of the battery object is the third level, it can be determined that the battery object is in a severe climbing state. It can be understood that the time consumed in the capacity climbing process of the battery object at the third level is longer than the time consumed in the capacity climbing process of the battery object at the second level.

[0065] As a possible implementation method, for battery objects at the third level, the capacity climbing process of the battery object can be optimized by discharging the battery object through multiple step-by-step discharge rates while keeping the charging rate unchanged. Furthermore, a strategy that can implement the above implementation method can be screened out from the candidate climbing processing strategies as the target climbing processing strategy used when optimizing the capacity climbing process of the battery object.

[0066] As another possible discovery method, in response to the hill climbing state level being the third level, a candidate hill climbing processing strategy of leaving the battery at rest and performing step-by-step discharge is obtained from the candidate hill climbing processing strategies as the target hill climbing processing strategy of the battery object.

[0067] It can be understood that, for battery objects at the third level, they can be placed at rest based on a preset battery rest strategy, and discharged through multiple step-by-step discharge rates, thereby achieving optimization of the capacity climbing process of the battery object. Furthermore, a strategy that can achieve the above-mentioned implementation method is selected from the candidate climbing processing strategies as the target climbing processing strategy used when optimizing the capacity climbing process of the battery object.

[0068] S204, based on the target ramp processing strategy, optimizing the capacity ramp process of the battery object.

[0069] Optionally, in response to the climbing state level being the first level, based on the target climbing processing strategy, the charging rate is maintained on the battery object, and the battery object is discharged one by one in sequence based on each first target step discharge rate in the first target step discharge rate set to optimize the capacity climbing process of the battery object, wherein the first target step discharge rate set is obtained from a preset candidate step discharge rate set.

[0070] In an embodiment of the present application, when the climbing state level of the battery object is the first level, the current charging rate of the battery object and the multiple discharge rates used by the battery object for step-by-step discharge can be obtained through the target climbing strategy, wherein the multiple discharge rates can be screened from multiple candidate discharge rates preset for the battery.

[0071] Among them, multiple candidate discharge rates of the multiple discharge rates used when the selected battery is step-discharged can be marked as preset multiple candidate step-discharge rates and constitute a candidate step-discharge rate set. Further, multiple discharge rates used when the battery object is step-discharged are screened out from the candidate step-discharge rate set and determined as multiple first target step-discharge rates of the battery object, thereby obtaining the first target step-discharge rate set of the battery object in the current scenario composed of each first target step-discharge rate.

[0072] In this scenario, the battery object can be kept unchanged based on the current charging rate, and based on a preset discharge rate sequence, the battery object can be discharged one by one in sequence based on each first target step discharge rate in the first target step discharge rate set, thereby optimizing the capacity climbing process of the battery object.

[0073] As an example, setting Figure 5 The charging rate of the battery object shown is 1C and the first target step-by-step discharge rate set includes 1C, 0.33C and 0.1C. Figure 5As shown, the battery object can be kept at a 1C charging rate and discharged one by one based on 1C, 0.33C and 0.1C in a sequence of 1C→0.33C→0.1C discharge rates until the battery object reaches a preset 2.5V. Figure 5 The capacity ramping process of the battery object shown is optimized.

[0074] Depend on Figure 5 It can be seen that compared with Figure 5 The total cycle time of the battery object cycled at a charging rate of 1C and a discharging rate of 1C is shown. The cycle time of the battery object whose capacity ramping process is optimized by the method proposed in this example is shorter.

[0075] As another example, setting Figure 6 The charging rate of the battery object shown is 0.5C and the first target step-by-step discharge rate set includes 0.5C, 0.33C and 0.1C. Figure 6 As shown, the battery object can be kept at a 0.5C charging rate and discharged one by one at 0.5C, 0.33C and 0.1C in a sequence of 0.5C→0.33C→0.1C discharge rates until the battery object reaches a preset 2.5V. Figure 6 The capacity ramping process of the battery object shown is optimized.

[0076] Depend on Figure 6 It can be seen that compared with Figure 6 The total cycle time of the battery object cycled at a charge rate of 0.5C and a discharge rate of 0.5C is shown. The cycle time of the battery object whose capacity ramping process is optimized by the method proposed in this example is shorter.

[0077] Optionally, in response to the climbing state level being the second level, based on the target climbing processing strategy, the charging rate is maintained on the battery object, and the battery object is discharged one by one based on each second target step discharge rate in the second target step discharge rate set to optimize the capacity climbing process of the battery object, wherein the second target step discharge rate set is obtained from a preset candidate step discharge rate set.

[0078] In an embodiment of the present application, for battery objects at the second level, the charging rate is maintained on the battery objects based on the target climbing processing strategy, and the discharge processing is performed on the battery objects one by one in sequence based on each second target step discharge rate in the second target step discharge rate set. The specific content can be understood in conjunction with the relevant information in the above-mentioned embodiment about optimizing the capacity climbing process for the battery objects of the first level, and will not be repeated here.

[0079] Optionally, in response to the climbing state level being the second level, based on the target climbing processing strategy, the charging rate and discharging rate are maintained on the battery object, and the battery object is placed in a static state based on a preset first remaining power and a first duration to optimize the capacity climbing process of the battery object.

[0080] In an embodiment of the present application, for a battery object at the second level, the current charging rate and discharging rate of the battery object can be obtained based on the target climbing processing strategy, and the battery object can be kept charging and discharging based on the charging rate and discharging rate, and then placed in a static state.

[0081] Among them, the remaining power that needs to be retained when the battery object is subjected to static processing can be obtained based on the target climbing processing strategy, marked as the first remaining power of the battery object, and the length of time the battery object needs to be static when subjected to static processing can be obtained, marked as the first length of time of the battery object. Furthermore, based on the first remaining power, the battery object is left static for a first length of time at room temperature, thereby realizing the static processing of the battery object.

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

[0083] As an example, setting Figure 7 The charging rate of the battery object shown is 1C and the second target step-type discharge rate set includes 1C, 0.33C and 0.1C. Figure 7 As shown, the battery object can be kept at a 1C charging rate and discharged one by one based on 1C, 0.33C and 0.1C in a sequence of 1C→0.33C→0.1C discharge rates until the battery object reaches a preset 2.5V. Figure 7 The capacity ramping process of the battery object shown is optimized.

[0084] like Figure 7 As shown, set Figure 7 The first remaining power of the battery object shown is 5%-10% remaining power, and the first duration is 20 days. In this example, Figure 7 The battery object shown maintains a charge rate of 1C and a discharge rate of 1C. Figure 7 The battery object shown is left standing for a first period of 20 days based on a first remaining charge of 5%-10%. Figure 7 The capacity ramping process of the battery object shown is optimized.

[0085] Depend on Figure 7 It can be seen that compared with Figure 7The total cycle time of the battery object shown is cycled at a charge rate of 1C and a discharge rate of 1C. The cycle time of the battery object corresponding to the operation of keeping the charge rate unchanged and performing step-by-step discharge proposed in this example is shorter.

[0086] like Figure 7 As shown, through the operation method based on keeping the charge and discharge rate unchanged and standing for a first time based on the first remaining power proposed in this example, the climbing time of the battery object to 1.6% of the capacity peak is 30 weeks. From the relevant content of the battery object B proposed in the above embodiment, it can be seen that the battery object B at the second level climbs to the capacity peak when cycling based on the charging rate of 1C and the discharging rate of 1C. The time is 200 weeks. It can be seen that the operation method based on keeping the charge and discharge rate unchanged and standing for a first time based on the first remaining power proposed in this example can shorten Figure 7 The ramp time of the battery object shown during the cycle to the battery peak value is used to achieve the shortened optimization of the cycle time.

[0087] As another example, setting Figure 8 The charging rate of the battery object shown is 0.5C and the second target step-by-step discharge rate set includes 0.5C, 0.33C and 0.1C. Figure 8 As shown, the battery object can be kept at a 0.5C charging rate and discharged one by one at 0.5C, 0.33C and 0.1C in a sequence of 0.5C→0.33C→0.1C discharge rates until the battery object reaches a preset 2.5V. Figure 8 The capacity ramping process of the battery object shown is optimized.

[0088] like Figure 8 As shown, set Figure 8 The first remaining power of the battery object shown is 5%-10% remaining power, and the first duration is 20 days. In this example, Figure 8 The battery object shown maintains a charge rate of 0.5C and a discharge rate of 0.5C. Figure 8 The battery object shown is left standing for a first period of 20 days based on a first remaining charge of 5%-10%. Figure 8 The capacity ramping process of the battery object shown is optimized.

[0089] Depend on Figure 8 It can be seen that compared with Figure 8 The total cycle time of the battery object cycled at a charge rate of 0.5C and a discharge rate of 0.5C is shown. The cycle time of the battery object corresponding to the operation of keeping the charge rate unchanged and performing step-by-step discharge proposed in this example is shorter, wherein Figure 8 It can be seen that through the operation method of keeping the charging rate unchanged and performing step-by-step discharge proposed in this example, the capacity climbing process of the battery object can be eliminated.

[0090] like Figure 8 As shown, the operation method proposed in this example based on keeping the charge and discharge rate unchanged and standing for a first time based on a first remaining power shortens the time. Figure 8 The battery capacity of the battery object shown is kept below 100% for a certain period of time, thereby achieving Figure 8 Optimization of the cycling process of a battery object is shown.

[0091] Optionally, in response to the climbing state level being the third level, based on the target climbing processing strategy, the charging rate is maintained on the battery object, and the battery object is discharged one by one in sequence based on each third target step discharge rate in the third target step discharge rate set to optimize the capacity climbing process of the battery object, wherein the third target step discharge rate set is obtained from a preset candidate step discharge rate set.

[0092] In an embodiment of the present application, for a battery object at the third level, a charging rate maintenance operation is performed on the battery object based on a target climbing processing strategy, and the specific content of the discharge processing of the battery object is performed sequentially one by one based on each third target step discharge rate in a third target step discharge rate set. The specific content can be understood in conjunction with the relevant information in the above embodiment regarding the optimization of the capacity climbing process for the battery object of the first level, and will not be repeated here.

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

[0094] In an embodiment of the present 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 climbing processing strategy, and the battery object can be kept charging and discharging based on the charging rate and discharging rate, and then placed in a static state.

[0095] Among them, the remaining power that needs to be retained when the battery object is subjected to static processing can be obtained based on the target climbing processing strategy, marked as the second remaining power of the battery object, and the length of time the battery object needs to be static when subjected to static processing can be obtained, marked as the second length of time of the battery object. Furthermore, based on the second remaining power, the battery object is left static at room temperature for a second length of time, thereby realizing the static processing of the battery object.

[0096] Optionally, for a battery object at the third level, the current charging rate of the battery object and a plurality of discharge rates used by the battery object for step-by-step discharge can be obtained based on the target climbing processing strategy, and the plurality of discharge rates can be marked as a plurality of fourth target step-by-step discharge rates, thereby obtaining the fourth target step-by-step discharge rate set for the battery object.

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

[0098] In this scenario, the battery object can be kept unchanged based on the current charging rate, and based on a preset discharge rate sequence, the battery object can be discharged one by one in sequence based on each fourth target step discharge rate, thereby optimizing the capacity climbing process of the battery object.

[0099] As an example, setting Fig. 9 The charging rate of the battery object shown is 1C, the third target step discharge rate set of the battery object includes 1C, 0.33C and 0.1C, and the fourth target step discharge rate set of the battery object includes 1C, 0.33C and 0.1C.

[0100] like Fig. 9 As shown, the battery object can be kept at a 1C charging rate and discharged one by one based on the 1C, 0.33C and 0.1C included in the third target step-type discharge rate set in a discharge rate sequence of 1C→0.33C→0.1C until the battery object reaches a preset 2.5V, so as to Fig. 9 The capacity ramping process of the battery object shown is optimized.

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

[0102] like Fig. 9As shown, the battery object can also be discharged one by one based on the 1C, 0.33C and 0.1C included in the fourth target step-type discharge rate set in the discharge rate sequence of 1C→0.33C→0.1C until the battery object reaches a preset 2.5V, and Fig. 9 The battery object shown maintains a charge rate of 1C. Fig. 9 The battery object shown is based on a second remaining charge of 5%-10% and is left for a second period of 30 days. Fig. 9 The capacity ramping process of the battery object shown is optimized.

[0103] Depend on Fig. 9 It can be seen that compared with Fig. 9 The cycle time of the battery object shown is cycled at a charging rate of 1C and a discharging rate of 1C. The cycle time of the battery object can be shortened by the operating method proposed in this example of keeping the charging rate unchanged, performing step-by-step discharge, and letting the battery rest.

[0104] like Fig. 9 As shown, based on the operation method of maintaining the charging rate unchanged and performing step-by-step discharge proposed in this example, Fig. 9 The ramp time of the battery object shown to climb to the capacity peak of 1.3% is 40 weeks. Based on the relevant content of the battery object C proposed in the above embodiment, it can be seen that the battery object at the third level climbs to the peak value of 6.3% in the cycle of 1C charging rate and 1C discharge rate. It can be seen that the operation method of keeping the charging rate unchanged and performing step-by-step discharge proposed in this example can shorten the Fig. 9 The ramp time of the battery object shown during the cycle to the battery peak value is used to achieve the shortened optimization of the cycle time.

[0105] As another example, setting Fig.10 The charging rate of the battery object shown is 0.5C, and the third target step-by-step discharge rate set of the battery object includes 0.5C, 0.33C and 0.1C.

[0106] like Fig.10 As shown, the battery object can be kept at a 0.5C charging rate and remain unchanged, and the battery object is discharged one by one based on the 0.5C, 0.33C and 0.1C included in the third target step-by-step discharge rate set in a discharge rate sequence of 0.5C→0.33C→0.1C until the battery object reaches a preset 2.5V, so as to Fig.10 The capacity ramping process of the battery object shown is optimized.

[0107] And, set Fig.10The second remaining power of the battery object shown is 5%-10% remaining power, and the second duration is 30 days.

[0108] like Fig.10 As shown, the battery object can also be kept at a 0.5C charge rate and a 0.5C discharge rate, and the Fig.10 The battery object shown is based on a second remaining charge of 5%-10% and is left for a second period of 30 days. Fig.10 The capacity ramping process of the battery object shown is optimized.

[0109] Depend on Fig.10 It can be seen that compared with Fig.10 The cycle time of the battery object shown is cycled at a charge rate of 0.5C and a discharge rate of 0.5C. By keeping the charge rate unchanged and performing step-by-step discharge as proposed in this example, the cycle time of the battery object can be shortened.

[0110] like Fig.10 As shown, based on the operation method of keeping the charging rate unchanged and letting the battery rest proposed in this example, the peak capacity of the battery object is 0.8%, and the time to climb to the capacity peak is 30 weeks. Based on the relevant content of the battery object C proposed in the above embodiment, it can be seen that the battery object at the third level climbs to a peak value of 2.7% in a cycle of 0.5C charging rate and 0.5C discharge rate. The climbing time is 200 weeks. It can be seen that the operation method of keeping the charging rate unchanged and letting the battery rest proposed in this example can shorten Fig.10 The ramp time of the battery object shown during the cycle to the battery peak value is used to achieve the shortened optimization of the cycle time.

[0111] It should be noted that in Fig.10 In the scenario shown, the step-by-step discharge method can eliminate the ramping condition, and the peak value of the capacity ramping of the battery object and the time duration of the ramping to the capacity peak can be optimized by leaving the battery stationary, thereby achieving Fig.10 Shows optimization of the battery object in the scene.

[0112] It should be noted that the battery object proposed in the above embodiment may be a capacity-divided offline battery object or other types of battery objects, which are not specifically limited here.

[0113] S205, performing a cycle process evaluation on the battery object, obtaining a cycle evaluation report of the battery object, and optimizing the battery object based on the cycle evaluation report.

[0114] In the embodiment of the present application, the capacity climbing process of the battery object is optimized through the target climbing processing strategy, thereby achieving the optimization of the normal temperature cycle process of the battery object.

[0115] In this scenario, the cycle process of the battery object for optimizing the capacity ramping process of the battery object may be evaluated, and an evaluation report of the cycle process of the battery object may be generated based on the evaluation result and determined as a cycle 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 climb-related parameters during the cycle process included in the cycle evaluation report. Furthermore, a performance optimization strategy for the battery object is generated based on the obtained performance parameters, thereby achieving performance optimization of the battery object.

[0117] The processing method of the capacity climbing process proposed in the present application optimizes the capacity climbing process of the battery object through a target climbing processing strategy, thereby shortening the consumption time of the capacity climbing process of the battery object. In the scenario of battery performance testing, the test time of the battery performance test is shortened, and the test efficiency of the battery performance test is improved. In the scenario of battery optimization based on the performance test results, the battery performance optimization efficiency and optimization effect are improved, thereby improving the stability and safety of the operation of the components to which the battery belongs, and optimizing the user experience.

[0118] Corresponding to the processing methods of the capacity climbing process proposed in the above-mentioned embodiments, an embodiment of the present disclosure further proposes a processing device for the capacity climbing process. Since the processing device for the capacity climbing process proposed in the embodiment of the present disclosure corresponds to the processing methods for the capacity climbing process proposed in the above-mentioned embodiments, the implementation method of the above-mentioned processing method for the capacity climbing process is also applicable to the processing device for the capacity climbing process proposed in the embodiment of the present disclosure, and will not be described in detail in the following embodiments.

[0119] Fig.11 FIG. 1 is a schematic diagram of a structure of a processing device for a capacity ramping process according to an embodiment of the present disclosure. Fig.11 As shown, the processing device 1100 of the capacity ramping process includes a first acquisition module 111, a second acquisition module 112 and an optimization module 113, wherein:

[0120] A first acquisition module 111 is used to acquire a battery object to be processed and acquire a climbing state level of the battery object;

[0121] A second acquisition module 112, configured to acquire a target climbing processing strategy of the battery object from preset candidate climbing processing strategies based on the climbing state level;

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

[0123] In the embodiment of the present application, the first acquisition module 111 is also used to: collect information on the battery object to obtain material parameters of the battery object; obtain material climbing information corresponding to the material parameters, and determine the climbing state level of the battery object based on the material climbing information.

[0124] In the embodiment of the present application, the second acquisition module 112 is also used to: in response to the climbing state level being the first level, obtain, from the candidate climbing processing strategies, a candidate climbing processing strategy in which the charging rate remains unchanged and step-by-step discharge is performed, as the target climbing processing strategy for the battery object.

[0125] In an embodiment of the present application, the optimization module 113 is also used to: in response to the climbing state level being the first level, based on the target climbing processing strategy, perform a charging rate maintenance operation on the battery object, and sequentially perform discharge processing on the battery object based on each first target step-by-step discharge rate in the first target step-by-step discharge rate set to optimize the capacity climbing process of the battery object, wherein the first target step-by-step discharge rate set is obtained from a preset candidate step-by-step discharge rate set.

[0126] In an embodiment of the present application, the second acquisition module 112 is also used for: in response to the climbing state level being the second level, obtaining, from the candidate climbing processing strategies, a candidate climbing processing strategy in which the charging rate remains unchanged and step-by-step discharge is performed, as the target climbing processing strategy for the battery object; and / or, in response to the climbing state level being the second level, obtaining, from the candidate climbing processing strategies, a candidate climbing processing strategy in which the charging and discharging rate remains unchanged and the battery is left at rest, as the target climbing processing strategy for the battery object.

[0127] In an embodiment of the present application, the optimization module 113 is also used for: in response to the climbing state level being the second level, based on the target climbing processing strategy, performing a charging rate maintenance operation on the battery object, and sequentially performing discharge processing on the battery object based on each second target step discharge rate in the second target step discharge rate set, so as to optimize the capacity climbing process of the battery object, wherein the second target step discharge rate set is obtained from a preset candidate step discharge rate set; and / or, in response to the climbing state level being the second level, based on the target climbing processing strategy, performing a charging rate and a discharging rate maintenance operation on the battery object, and performing a static processing on the battery object based on a preset first remaining power and a first duration, so as to optimize the capacity climbing process of the battery object.

[0128] In an embodiment of the present application, the second acquisition module 112 is also used for: in response to the climbing state level being the third level, obtaining, from the candidate climbing processing strategies, a candidate climbing processing strategy in which the charging rate remains unchanged and step-discharging is performed, as the target climbing processing strategy for the battery object; and / or, in response to the climbing state level being the third level, obtaining, from the candidate climbing processing strategies, a candidate climbing processing strategy in which the battery is stationary and step-discharging is performed, as the target climbing processing strategy for the battery object.

[0129] In an embodiment of the present application, the optimization module 113 is also used for: in response to the climbing state level being the third level, based on the target climbing processing strategy, performing a charging rate maintenance operation on the battery object, and sequentially and one by one based on each third target step-by-step discharge rate in the third target step-by-step discharge rate set, performing discharge processing on the battery object to optimize the capacity climbing process of the battery object, wherein the third target step-by-step discharge rate set is obtained from a preset candidate step-by-step discharge rate set; and / or, in response to the climbing state level being the third level, based on the target climbing processing strategy, performing a static processing on the battery object based on a preset second remaining power and a second duration, and sequentially and one by one based on each fourth target step-by-step discharge rate in the fourth target step-by-step discharge rate set, performing discharge processing on the battery object to optimize the capacity climbing process of the battery object, wherein the fourth target step-by-step discharge rate set is obtained from the candidate step-by-step discharge rate set.

[0130] In an embodiment of the present application, the device also includes an evaluation module, which is used to: perform a cycle process 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 processing device of the capacity climbing process proposed in the present application obtains the climbing state level of the battery object to obtain the target climbing processing strategy of the battery object, and optimizes the capacity climbing process of the battery object based on the target climbing processing strategy. In the present application, the capacity climbing process of the battery object is optimized by the target climbing processing strategy, which shortens the consumption time of the capacity climbing process of the battery object, thereby shortening the cycle time of the battery object, and further improving the test efficiency of the battery performance test. In the scenario of battery optimization based on the performance test results, the battery performance optimization efficiency and optimization effect are improved, thereby improving the stability and safety of the operation of the components to which the battery belongs, and optimizing the user experience.

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

[0133] Fig.12 A block diagram of an electronic device according to an embodiment of the present application is shown in FIG. Fig.12As shown, the device 1200 includes a memory 121, a processor 122, and a computer program stored in the memory 121 and executable on the processor 122. When the processor 121 executes the program instructions, the execution is realized. Figures 1 to 10 The embodiment provides a method for processing the capacity ramping process.

[0134] In order to implement the above embodiments, the present application also provides a non-transitory computer-readable storage medium storing computer instructions, the computer instructions are used to enable the computer to execute Figures 1 to 10 The embodiment provides a method for processing the capacity ramping process.

[0135] In order to implement the above embodiment, the present application also provides a computer program product. When the instruction processor in the computer program product executes, Figures 1 to 10 The embodiment provides a method for processing the capacity ramping process.

[0136] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0137] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0138] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0139] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purpose of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or otherwise processing in a suitable manner if necessary, and then stored in a computer memory.

[0140] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0141] A person skilled in the art may understand that all or part of the steps in the above-mentioned embodiment method may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0142] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0143] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A method for processing a capacity ramping process, characterized in that: The method comprises: Obtain a battery object to be processed, and obtain 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 preset candidate climbing processing strategies; Based on the target ramp processing strategy, the capacity ramp process of the battery object is optimized.

2. The method according to claim 1, characterized in that The obtaining of the battery object to be processed and obtaining the climbing state level of the battery object includes: Collecting information on the battery object to obtain material parameters of the battery object; Material climbing information corresponding to the material parameter is obtained, and the climbing state level of the battery object is determined based on the material climbing information.

3. The method according to claim 1, characterized in that The step of acquiring the target climbing processing strategy of the battery object from preset candidate climbing processing strategies based on the climbing state level includes: In response to the hill climbing state level being the first level, a candidate hill climbing processing strategy in which the charging rate remains unchanged and step-by-step discharge is obtained from the candidate hill climbing processing strategies as the target hill climbing processing strategy of the battery object.

4. The method according to claim 3, characterized in that The optimizing process of performing capacity ramping process on the battery object based on the target ramping process strategy includes: In response to the climbing state level being the first level, based on the target climbing processing strategy, the charging rate is maintained on the battery object, and the battery object is discharged sequentially one by one based on each first target step discharge rate in a first target step discharge rate set to optimize the capacity climbing process of the battery object, wherein the first target step discharge rate set is obtained from a preset candidate step discharge rate set.

5. The method according to claim 1, characterized in that The step of acquiring the target climbing processing strategy of the battery object from preset candidate climbing processing strategies based on the climbing state level includes: In response to the climbing state level being the second level, obtaining, from the candidate climbing processing strategies, a candidate climbing processing strategy in which the charging rate remains unchanged and step-by-step discharge is performed as the target climbing processing strategy of the battery object; and / or, In response to the hill climbing state level being the second level, a candidate hill climbing processing strategy of keeping the charge and discharge rate unchanged and resting the battery is acquired from the candidate hill climbing processing strategies as the target hill climbing processing strategy for the battery object.

6. The method according to claim 5, characterized in that The optimizing process of performing capacity ramping process on the battery object based on the target ramping process strategy includes: In response to the climbing state level being the second level, based on the target climbing processing strategy, the charging rate maintenance operation is performed on the battery object, and the battery object is discharged one by one based on each second target stepped discharge rate in a second target stepped discharge rate set in sequence, so as to optimize the capacity climbing 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, In response to the climbing state level being the second level, based on the target climbing processing strategy, the charging rate and discharging rate are maintained on the battery object, and the battery object is placed in a static state based on a preset first remaining power and a first duration to optimize the capacity climbing process of the battery object.

7. The method according to claim 1, characterized in that The step of acquiring the target climbing processing strategy of the battery object from preset candidate climbing processing strategies based on the climbing state level includes: In response to the climbing state level being the third level, obtaining, from the candidate climbing processing strategies, a candidate climbing processing strategy in which the charging rate remains unchanged and step-by-step discharge is performed as the target climbing processing strategy of the battery object; and / or, In response to the hill climbing state level being the third level, a candidate hill climbing processing strategy of leaving the battery at rest and performing step-wise discharge is acquired from the candidate hill climbing processing strategies as the target hill climbing processing strategy of the battery object.

8. The method according to claim 7, characterized in that The optimizing process of performing capacity ramping process on the battery object based on the target ramping process strategy includes: In response to the climbing state level being the third level, based on the target climbing processing strategy, the charging rate maintenance operation is performed on the battery object, and the battery object is discharged one by one based on each third target stepped discharge rate in a third target stepped discharge rate set in sequence, so as to optimize the capacity climbing 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 climbing state level being the third level, based on the target climbing processing strategy, the battery object is placed in a static state based on a preset second remaining power and a second duration, and the battery object is discharged one by one in sequence based on each fourth target step discharge rate in a fourth target step discharge rate set to optimize the capacity climbing process of the battery object, wherein the fourth target step discharge rate set is obtained from the candidate step discharge rate set.

9. The method according to any one of claims 1 to 8, characterized in that The method further comprises: A cycle process 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.

10. A processing device for a capacity ramping process, characterized in that: The device comprises: A first acquisition module, used to acquire a battery object to be processed, and acquire a climbing state level of the battery object; A second acquisition module, configured to acquire a target climbing processing strategy of the battery object from preset candidate climbing processing strategies based on the climbing state level; The optimization module is used to optimize the capacity ramp-up process of the battery object based on the target ramp-up processing strategy.

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