Lithium ion capacitor design method and system based on energy storage characteristics

Abstract

The invention provides a lithium ion capacitor design method and system based on energy storage characteristics, and relates to the technical field of lithium ion capacitors. The method comprises the following steps: acquiring pole piece configuration parameters of the lithium ion capacitor, constructing first lithium ion capacitor models according to the pole piece configuration parameters, and screening the plurality of first lithium ion capacitor models according to the pole piece capacities of a positive pole piece and a negative pole piece of the lithium ion capacitor to obtain a second lithium ion capacitor model; and according to the pole piece dynamic characteristics of the positive pole piece and the negative pole piece of the lithium ion capacitor, screening the plurality of second lithium ion capacitor models to obtain third lithium ion capacitor models, evaluating the energy storage characteristics of the plurality of third lithium ion capacitor models according to a preset energy storage characteristic evaluation rule, and according to an evaluation result, determining the energy storage characteristics of the plurality of third lithium ion capacitor models. And determining target pole piece configuration parameters of the lithium ion capacitor. The invention aims to solve the problem that the overall performance and reliability of the lithium ion capacitor are affected by the existing design method.

Description

Technical Field

[0001] The embodiments of the present application relate to the technical field of lithium-ion capacitors, and in particular, to a design method and system for lithium-ion capacitors based on energy storage characteristics. Background Art

[0002] A lithium-ion capacitor (LIC) is a new type of energy storage device that combines the advantages of lithium-ion batteries and super lithium-ion capacitors, and has characteristics such as high energy density, high power density, long cycle life, and low self-discharge rate. Its structure can be composed of a lithium-inserting material (such as graphite or hard carbon) as the negative electrode, activated carbon as the positive electrode, an organic electrolyte containing a lithium salt, and a separator.

[0003] Currently, when designing lithium-ion capacitors, most designs are based on the required indicators of users, ignoring the problem of mismatch in capacity and kinetic characteristics between the positive and negative electrode materials of lithium-ion capacitors, which in turn affects the overall performance and reliability of lithium-ion capacitors. Summary of the Invention

[0004] The embodiments of the present application provide a design method and system for lithium-ion capacitors based on energy storage characteristics, which are used to improve the problem that when testing the insulation resistance of lithium-ion capacitors, it will cause deterioration effects on good lithium-ion capacitors.

[0005] To achieve the above object, the embodiments of the present application adopt the following technical solutions: In a first aspect, the embodiments of the present application provide a design method for a lithium-ion capacitor based on energy storage characteristics, and the method includes: obtaining the electrode configuration parameters of the lithium-ion capacitor, and constructing a first lithium-ion capacitor model according to the electrode configuration parameters; Screening a plurality of first lithium-ion capacitor models according to the electrode capacities of the positive and negative electrodes of the lithium-ion capacitor to obtain a second lithium-ion capacitor model; Screening a plurality of second lithium-ion capacitor models according to the electrode kinetic characteristics of the positive and negative electrodes of the lithium-ion capacitor to obtain a third lithium-ion capacitor model; Evaluating the energy storage characteristics of a plurality of third lithium-ion capacitor models according to a preset energy storage characteristic evaluation rule, and determining the target electrode configuration parameters of the lithium-ion capacitor according to the evaluation results.

[0006] In a possible implementation manner of the first aspect, obtaining the electrode configuration parameters and basic configuration parameters of the lithium-ion capacitor includes: Obtaining the application requirement information of the lithium-ion capacitor, and determining the theoretical design index of the lithium-ion capacitor according to the application requirement information; Determine various electrode configuration parameters and basic configuration parameters of the lithium-ion capacitor according to the theoretical design indicators.

[0007] In a possible implementation manner of the first aspect, screen multiple first lithium-ion capacitor models according to the electrode capacities of the positive electrode and negative electrode of the lithium-ion capacitor to obtain a second lithium-ion capacitor model, including: Determine the electrode capacity of the positive electrode of the lithium-ion capacitor as the first correction target, and determine the electrode capacity of the negative electrode of the lithium-ion capacitor as the second correction target; Screen multiple first lithium-ion capacitor models according to the matching result of the first correction target and the second correction target to obtain a second lithium-ion capacitor model.

[0008] In a possible implementation manner of the first aspect, screen multiple first lithium-ion capacitor models according to the matching result of the first correction target and the second correction target to obtain a second lithium-ion capacitor model, including: Map multiple first lithium-ion capacitor models to the first screening coordinate system to obtain multiple mapping points; Determine the first screening direction according to the first correction target, and determine the second screening direction according to the second correction target. The first screening direction is used to characterize the change trend of the positive electrode capacity adjustment, and the second screening direction is used to characterize the change trend of the negative electrode capacity adjustment; Determine the target area in the first screening coordinate system according to the first screening direction and the second screening direction; Screen the first lithium-ion capacitor models corresponding to the mapping points in the target area in the first screening coordinate system as the second lithium-ion capacitor models.

[0009] In a possible implementation manner of the first aspect, screen multiple second lithium-ion capacitor models according to the electrode dynamic characteristics of the positive electrode and negative electrode of the lithium-ion capacitor to obtain a third lithium-ion capacitor model, including: Determine the dynamic characteristics of the positive electrode of the lithium-ion capacitor as the third correction target, and determine the dynamic characteristics of the negative electrode of the lithium-ion capacitor as the fourth correction target; Screen multiple second lithium-ion capacitor models according to the matching result of the third correction target and the fourth correction target to obtain a third lithium-ion capacitor model.

[0010] In a possible implementation manner of the first aspect, screen multiple second lithium-ion capacitor models according to the matching result of the third correction target and the fourth correction target to obtain a third lithium-ion capacitor model, including: Map multiple second lithium-ion capacitor models to the second screening coordinate system to obtain multiple mapping points; Determine the third screening direction according to the third correction target, and determine the fourth screening direction according to the fourth correction target. The third screening direction is used to characterize the change trend of the adjustment of the kinetic characteristics of the positive electrode sheet, and the second screening direction is used to characterize the change trend of the adjustment of the kinetic characteristics of the negative electrode sheet; Determine the target area in the second screening coordinate system according to the third screening direction and the fourth screening direction; Screen the second lithium-ion capacitor model corresponding to the mapping point in the target area in the second screening coordinate system as the third lithium-ion capacitor model.

[0011] In a possible implementation manner of the first aspect, evaluate the energy storage characteristics of multiple third lithium-ion capacitor models according to a preset energy storage characteristic evaluation rule, including: Obtain the voltage-current response waveform of the third lithium-ion capacitor model, and determine the corresponding energy storage characteristic link response according to the voltage-current response waveform; Evaluate the energy storage characteristic link response according to the preset energy storage characteristic evaluation rule.

[0012] In a possible implementation manner of the first aspect, the energy storage characteristic evaluation rule includes multiple different types of energy storage characteristic evaluation rules. Evaluate the energy storage characteristic link response according to the preset energy storage characteristic evaluation rule, and determine the target electrode configuration parameters of the lithium-ion capacitor according to the evaluation result, including: Obtain the evaluation score of the energy storage characteristic link response under each evaluation type of the energy storage characteristic evaluation rule; Determine the comprehensive energy storage characteristic score of the energy storage characteristic link response according to the evaluation score and the corresponding weight coefficient; Determine the target electrode configuration parameters of the lithium-ion capacitor according to the comprehensive energy storage characteristic score of the energy storage characteristic link response.

[0013] In the second aspect, the present application provides another lithium-ion capacitor design system based on energy storage characteristics. The system includes: An acquisition module, configured to acquire the electrode configuration parameters and basic configuration parameters of the lithium-ion capacitor, and construct multiple first lithium-ion capacitor models according to the electrode configuration parameters and basic configuration parameters. Each first lithium-ion capacitor model corresponds to an electrode configuration parameter; A first screening module, configured to screen multiple first lithium-ion capacitor models according to the electrode capacities of the positive electrode sheet and the negative electrode sheet of the lithium-ion capacitor to obtain a second lithium-ion capacitor model; A second screening module, configured to screen multiple second lithium-ion capacitor models according to the electrode kinetic characteristics of the positive electrode sheet and the negative electrode sheet of the lithium-ion capacitor to obtain a third lithium-ion capacitor model; An evaluation module for evaluating the energy storage characteristics of multiple third lithium-ion capacitor models according to a preset energy storage characteristic evaluation rule, and determining the target electrode configuration parameters of the lithium-ion capacitor according to the evaluation results.

[0014] In a possible implementation manner of the second aspect, the test module and the acquisition module include: A first acquisition sub-module for acquiring the application requirement information of the lithium-ion capacitor and determining the theoretical design index of the lithium-ion capacitor according to the application requirement information; A parameter determination sub-module for determining various electrode configuration parameters and basic configuration parameters of the lithium-ion capacitor according to the theoretical design index.

[0015] In a possible implementation manner of the second aspect, the first screening module includes: A correction target to be determined sub-module for determining the electrode capacity of the positive electrode of the lithium-ion capacitor as the first correction target and the electrode capacity of the negative electrode of the lithium-ion capacitor as the second correction target; A first screening sub-module for screening multiple first lithium-ion capacitor models according to the matching result of the first correction target and the second correction target to obtain a second lithium-ion capacitor model.

[0016] In a possible implementation manner of the second aspect, the first screening sub-module includes: A mapping unit for mapping multiple first lithium-ion capacitor models to a first screening coordinate system to obtain multiple mapping points; A direction determination unit for determining a first screening direction according to the first correction target and a second screening direction according to the second correction target. The first screening direction is used to characterize the change trend of the positive electrode capacity adjustment, and the second screening direction is used to characterize the change trend of the negative electrode capacity adjustment; A determination unit for determining the target area in the first screening coordinate system according to the first screening direction and the second screening direction; A screening unit for screening the first lithium-ion capacitor models corresponding to the mapping points in the target area in the first screening coordinate system as the second lithium-ion capacitor models.

[0017] In a possible implementation manner of the second aspect, the second screening module includes: A correction target to be determined sub-module for determining the kinetic characteristics of the positive electrode of the lithium-ion capacitor as the third correction target and the kinetic characteristics of the negative electrode of the lithium-ion capacitor as the fourth correction target; A second screening sub-module for screening multiple second lithium-ion capacitor models according to the matching result of the third correction target and the fourth correction target to obtain a third lithium-ion capacitor model.

[0018] In a possible implementation manner of the second aspect, the second screening sub-module includes: A mapping unit, configured to map a plurality of second lithium-ion capacitor models to a second screening coordinate system to obtain a plurality of mapping points; A direction determination unit, configured to determine a third screening direction according to a third correction target and a fourth screening direction according to a fourth correction target, where the third screening direction is used to characterize the change trend of the adjustment of the dynamics characteristics of the positive electrode plate, and the second screening direction is used to characterize the change trend of the adjustment of the dynamics characteristics of the negative electrode plate; A determination unit, configured to determine a target area in the second screening coordinate system according to the third screening direction and the fourth screening direction; A screening unit, configured to screen the second lithium-ion capacitor models corresponding to the mapping points in the target area in the second screening coordinate system as third lithium-ion capacitor models.

[0019] In a possible implementation manner of the second aspect, the evaluation module includes: A data processing sub-module, configured to obtain a voltage-current response waveform of the third lithium-ion capacitor model and determine a corresponding energy storage characteristic link response according to the voltage-current response waveform; An evaluation sub-module, configured to evaluate the energy storage characteristic link response according to a preset energy storage characteristic evaluation rule.

[0020] In a possible implementation manner of the second aspect, the evaluation sub-module includes: A first evaluation score determination unit, configured to obtain an evaluation score of the energy storage characteristic link response under the energy storage characteristic evaluation rule of each evaluation type; A second evaluation score determination unit, configured to determine a comprehensive energy storage characteristic score of the energy storage characteristic link response according to the evaluation score and the corresponding weight coefficient; A parameter determination unit, configured to determine target electrode configuration parameters of the lithium-ion capacitor according to the comprehensive energy storage characteristic score of the energy storage characteristic link response.

[0021] In a third aspect, the present application further provides an electronic device, which includes a memory and one or more processors, and the memory is coupled to the processor; wherein, computer program code is stored in the memory, and the computer program code includes computer instructions, and when the computer instructions are executed by the processor, the electronic device executes the method in any possible design manner of the first aspect above.

[0022] In a fourth aspect, the present application provides a computer-readable storage medium, including computer instructions; when the computer instructions run on an electronic device, the electronic device executes the method in the first aspect and any possible design manner thereof above.

[0023] In a fifth aspect, the present application provides a computer program product, which, when running on an electronic device, causes the electronic device to execute the method in the first aspect and any possible design manner thereof as described above.

[0024] A design method of a lithium-ion capacitor based on energy storage characteristics provided by the present application obtains the electrode configuration parameters of the lithium-ion capacitor and constructs multiple different lithium-ion capacitor models, and screens the models by using the electrode capacities and kinetic characteristics of the positive and negative electrodes to gradually optimize the design scheme. First, appropriate electrode configuration parameters are selected according to the theoretical design indexes, and then by screening and optimizing the capacities and kinetic characteristics of the positive and negative electrode materials, the electrode configuration is adjusted for different design goals (such as high energy density or high power density), so as to ensure that while the capacitor meets the energy storage requirements, the balance among its cycle life, power density and energy density is optimized. Finally, through the evaluation of the energy storage characteristic link response and in combination with the preset energy storage characteristic evaluation rules, the configuration parameters of the target capacitor are further optimized. This multi-level screening and evaluation method can targetedly adjust the design of the capacitor under different requirements, solve the difficulties caused by mismatched material characteristics in the traditional technology, and thus achieve the balanced design of the lithium-ion capacitor among the energy density, power density and cycle life.

[0025] Among them, the technical effects of the second aspect to the fifth aspect refer to the technical effects of the first aspect and any of its embodiments, which will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 It is a schematic diagram of the steps of a design method of a lithium-ion capacitor based on energy storage characteristics provided by an embodiment of the present application.

[0027] Figure 2 It is a schematic diagram of the functional modules of a design system of a lithium-ion capacitor based on energy storage characteristics provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0028] The terms used in the following embodiments are only for the purpose of describing specific embodiments and are not intended to limit the present application. As used in the specification and appended claims of the present application, the singular forms "a", "an", "", "the above", "the" and "this" are also intended to include, for example, the expression form of "one or more", unless there is a clear opposite indication in the context. It should also be understood that in the following embodiments of the present application, "at least one" and "one or more" mean one or more than two (including two). The character " / " generally indicates an "or" relationship between the related objects before and after.

[0029] Next, the technical solutions in the embodiments of the present application will be described with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments.

[0030] Hereinafter, terms such as "first" and "second" are only for convenience of description, and cannot be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, features defined with "first", "second", etc. may explicitly or implicitly include one or more of such features. In the description of the present application, unless otherwise specified, the meaning of "a plurality" is two or more. For example, a plurality of processing units means two or more processing units.

[0031] In addition, in the embodiments of the present application, "upper", "lower", "left", and "right" are not defined only with respect to the orientation of the components shown in the accompanying drawings. It should be understood that these directional terms can be relative concepts, and they are used for relative description and clarification, and they can change accordingly with the change of the orientation of the components shown in the accompanying drawings. In the accompanying drawings, for clarity, the thickness of layers and regions is exaggerated, and the dimensional proportional relationship between various parts in the drawings does not reflect the actual dimensional proportional relationship.

[0032] In the embodiments of the present application, unless otherwise clearly specified and limited, the term "connection" should be understood in a broad sense. For example, "connection" can be a fixed connection, a detachable connection, or integrated; it can be directly connected, or indirectly connected through an intermediate medium. In addition, the term "electrical connection" can be a direct electrical connection, or an indirect electrical connection through an intermediate medium.

[0033] In the embodiments of the present application, the term "module" is usually a functional structure divided according to logic, and this "module" can be implemented by pure hardware, or by a combination of software and hardware. In the embodiments of the present application, "and / or" describes the association relationship of associated objects, indicating that three relationships can exist. For example, A and / or B can represent: A exists alone, B exists alone, and A and B exist simultaneously.

[0034] In the embodiments of the present application, words such as "exemplary" or "for example" are used to represent examples, illustrations, or explanations. Any embodiment or design solution described as "exemplary" or "for example" in the embodiments of the present application should not be construed as being more preferred or having more advantages than other embodiments or design solutions. Exactly speaking, using words such as "exemplary" or "for example" is intended to present relevant concepts in a specific manner.

[0035] Currently, in the design process of lithium-ion capacitors, it is guided by the user's required indicators, such as the desire to achieve specific energy density, power density, working voltage range, or cycle life, etc. This design mode often focuses on the macroscopic performance of lithium-ion capacitors, starting from aspects such as electrode size, electrolyte ratio, and electrode area ratio to configure parameters and select materials to meet the indicator requirements as soon as possible.

[0036] However, in this design concept, the differences in the microscopic intrinsic properties of the materials used for the positive and negative electrodes are generally ignored, especially the serious inconsistency problems in capacity matching and kinetic matching.

[0037] From the perspective of capacity, the positive electrode can use activated carbon materials with a high specific surface area. Its capacity mainly depends on the electric double layer effect. Although the response speed is fast, the charge that can be stored per unit mass or volume is limited, far lower than that of the negative electrode material. The negative electrode often uses lithium-inserting materials such as graphite and hard carbon, which have a high theoretical capacity and can insert more lithium ions. However, its reaction process belongs to the solid-phase lithium insertion / extraction mechanism, and the kinetic process is restricted by factors such as diffusion speed and charge transfer impedance, and the response speed is significantly slower than that of the positive electrode material.

[0038] From the kinetic perspective, the reaction process of the activated carbon positive electrode hardly involves the diffusion of ions inside the material and mainly depends on surface adsorption / desorption. Therefore, it has an extremely fast electrochemical response speed and is suitable for high-power working scenarios. On the contrary, during the lithium insertion process of the negative electrode material, lithium ions need to enter the internal lattice structure of the material from the electrolyte, resulting in obvious mass transfer bottlenecks and reaction lags. Parameters such as its conductivity, charge transfer rate, and ion diffusion coefficient significantly affect the overall kinetic performance.

[0039] Due to this asymmetry in the capacity and kinetic characteristics of the positive and negative electrodes, the following problems will occur: Capacity waste: The capacity of one electrode material reaches the limit, while the other electrode has not been fully utilized, thus restricting the overall energy storage efficiency. Voltage imbalance: During long-term cycling, the polarization degrees of the positive and negative electrodes are different, which may cause voltage drift and deviation from the safe working window. Shortened cycle life: One electrode is accelerated in material aging due to overcharge and over-discharge, resulting in accelerated capacity decay. Decreased thermal stability: Kinetic lag brings local overheating or polarization phenomena, increasing the risk of thermal runaway.

[0040] Based on this, the inventive concept of the present application is proposed: according to the application requirements, determine candidate lithium-ion capacitor models with multiple different design parameters, and then take the capacity and kinetic characteristics of the electrode as the optimization direction, and conduct multi-level screening on the candidate lithium-ion capacitor models to ensure that the response speeds of the two electrodes match during the actual working process, and avoid problems such as uneven polarization or voltage offset; finally, evaluate and rank the screened models according to the preset energy storage characteristic evaluation rules (such as comprehensive indicators such as energy density, power density, efficiency, and cycle stability), select the optimal design scheme from them, and determine the final actual design parameters, so as to achieve the overall optimization among the capacity utilization rate, kinetic matching, and system performance of the lithium-ion capacitor, and improve the practical value and operation reliability of the device.

[0041] Referring to Figure 1 , an embodiment of the present invention provides a design method for a lithium-ion capacitor based on energy storage characteristics, which is applied to a host computer and may specifically include the following steps: S101: Obtain the electrode configuration parameters and basic configuration parameters of the lithium-ion capacitor, and construct a first lithium-ion capacitor model according to the electrode configuration parameters and basic configuration parameters.

[0042] In this embodiment, the lithium-ion capacitor refers to the target lithium-ion capacitor to be designed. The first lithium-ion capacitor model is an electrochemical model. After determining the electrode configuration parameters of the lithium-ion capacitor, the key performance requirements (such as capacity, voltage, power density, size, etc.) can be decomposed in reverse to determine the value ranges of the core design variables such as the types of positive and negative electrode materials, electrode thickness, loading, area, number of electrode pairs, and N / P ratio. Subsequently, a parameter combination method (such as a parameter grid method, random sampling, or optimized sampling) is used to generate multiple groups of candidate design schemes with different structural configurations in the set parameter space, and multiple first lithium-ion capacitor models are constructed. The basic configuration parameters corresponding to each first lithium-ion capacitor model (such as the electrolyte system, diaphragm type, packaging structure, electrode material type, etc.) can be kept consistent to ensure the separate evaluation of the influence of the electrode structure design scheme on the same basic platform; however, the electrode configuration parameters are different. The main differences between the first lithium-ion capacitor models are reflected in the differences in their electrode configuration parameters, including but not limited to the thickness, area, loading, number of electrode pairs of the positive and negative electrodes, and the positive and negative capacity ratio (N / P ratio). These differences in electrode parameters directly determine the capacity matching degree, kinetic behavior, and electrochemical performance of each model.

[0043] The specific steps for obtaining the electrode configuration parameters of the lithium-ion capacitor may include: S1011: Obtain the application requirement information of the lithium-ion capacitor, and determine the theoretical design index of the lithium-ion capacitor according to the application requirement information. S1012: Determine various electrode configuration parameters and basic configuration parameters of the lithium-ion capacitor according to the theoretical design indicators.

[0044] In the implementation manners of S1011 to S1012, the application requirement information refers to the user's requirements for the energy storage characteristics of the to-be-designed lithium-ion capacitor under actual working conditions, and the theoretical design indicators refer to the key performance indicators that the lithium-ion capacitor needs to possess on the premise of meeting specific application requirements. The theoretical design indicators can be set by the user according to factors such as the application environment, working mode, and electrical interface, and may include but are not limited to the following: Rated voltage: The maximum working voltage that the lithium-ion capacitor can withstand during normal operation, which can be determined by the system power supply or load requirements; Target capacity: Refers to the amount of electric charge or energy that is expected to be stored in the lithium-ion capacitor; Energy density / Power density: An indicator used to balance volume, weight, and performance, which is particularly important in portable or space-constrained devices; Cycle life requirement: The number of cycles that the device should be able to operate stably under the set charge and discharge conditions; Maximum charge and discharge current or rate: Determines the requirements for the response speed of the electrode dynamics; Working temperature range: Used to judge whether the applied material system is suitable for harsh or high-temperature environments.

[0045] After determining the theoretical design indicators, various electrode configuration parameters and basic configuration parameters can be generated by using the parameter combination method according to the theoretical design indicators.

[0046] S102: Screen multiple first lithium-ion capacitor models according to the electrode capacities of the positive and negative electrodes of the lithium-ion capacitor to obtain a second lithium-ion capacitor model.

[0047] In this implementation manner, after obtaining multiple first lithium-ion capacitor models, capacity matching screening is performed on the multiple preliminary design models generated in the first stage, and the first lithium-ion capacitor models with severely uneven capacity configuration or high potential imbalance risk are eliminated, and the second lithium-ion capacitor models with better performance in the coordination of the positive and negative electrode capacities are screened out.

[0048] Specifically, the capacity matching relationship between the positive and negative electrodes directly affects the available capacity, safety, and cycle life of the entire lithium-ion capacitor. Since there are significant differences in specific capacity, reaction mechanism, and voltage platform between the positive electrode (which can be an activated carbon material) and the negative electrode (such as graphite or hard carbon) of the lithium-ion capacitor, if the two electrodes are not reasonably matched in structural design, the following problems will occur: Too small positive electrode capacity: During the charging process, the voltage upper limit may be reached prematurely, resulting in the premature cut-off of the entire lithium-ion capacitor and a reduction in capacity utilization. Too small negative electrode capacity: At the end of charging, excessive lithium intercalation may occur, leading to safety hazards such as the precipitation of metallic lithium and the generation of gas. Capacity imbalance: During long-term cycling, voltage drift and polarization accumulation are likely to occur, accelerating performance degradation.

[0049] Therefore, in this step, by calculating and comparing the matching relationships between the capacities of the positive electrode plates and the negative electrode plates in multiple first lithium-ion capacitor models, a second lithium-ion capacitor model is determined. The specific steps may include: S1021: Determine the plate capacity of the positive electrode plate of the lithium-ion capacitor as the first correction target, and determine the plate capacity of the negative electrode plate of the lithium-ion capacitor as the second correction target; S1022: Screen multiple first lithium-ion capacitor models according to the matching results of the first correction target and the second correction target to obtain a second lithium-ion capacitor model.

[0050] In the implementation manners of S1021 to S1022, the plate capacities of the positive electrode plate and the negative electrode plate of the ionic lithium-ion capacitor are respectively used as different correction targets. The correction direction of the first correction target may be the maximum of the positive electrode plate capacity, and the correction direction of the second target may be the maximum of the negative electrode plate capacity. By using the capacities of the positive and negative electrodes as optimization targets and performing maximization adjustments for both respectively, and then using the matching results of the first correction target and the second correction target as the screening basis, multiple first lithium-ion capacitor models are screened to obtain a second lithium-ion capacitor model. The specific steps may include: S10221: Map multiple first lithium-ion capacitor models to a first screening coordinate system to obtain multiple mapping points; S10222: Determine a first screening direction according to the first correction target, and determine a second screening direction according to the second correction target. The first screening direction is used to characterize the change trend of the adjustment of the positive electrode plate capacity, and the second screening direction is used to characterize the change trend of the adjustment of the negative electrode plate capacity; S10223: Determine a target area in the first screening coordinate system according to the first screening direction and the second screening direction; S10224: Screen the first lithium-ion capacitor models corresponding to the mapping points in the target area in the first screening coordinate system as the second lithium-ion capacitor models.

[0051] In the above-described embodiment, first, a plurality of preliminarily designed first lithium-ion capacitor models are mapped into a screening coordinate system. Two axes of the screening coordinate system will respectively represent the changing trends of the positive and negative electrode capacity adjustments. Each model corresponds to a mapping point in this coordinate system. The goal of the mapping is to position each lithium-ion capacitor model in the coordinate system according to the correction results of the positive and negative electrode capacities of each model, thereby obtaining a plurality of mapping points. In this way, lithium-ion capacitor models with different design parameters can be visually represented, facilitating subsequent screening and optimization. Then, according to the requirements of the first correction goal (maximizing the positive electrode capacity) and the second correction goal (maximizing the negative electrode capacity), two screening directions in the screening coordinate system are respectively determined. Specifically: The first screening direction represents the changing trend of the positive electrode tab capacity adjustment, that is, the changing direction of the positive electrode capacity in the design. By adjusting the specific capacity of the positive electrode, the tab area, etc., the first screening direction describes the increase and decrease of the positive electrode capacity. The second screening direction represents the changing trend of the negative electrode tab capacity adjustment, characterizing the change of the negative electrode capacity in the design. The capacity adjustment of the negative electrode can involve the selection of the negative electrode material, the structural design of the tab, etc., and the second screening direction is used to describe the increase and decrease of the negative electrode capacity.

[0052] According to the criteria set by the first screening direction and the second screening direction, next, a target region needs to be determined in the screening coordinate system. The target region represents an optimal parameter range that satisfies the goal of maximizing the positive and negative electrode capacities while ensuring that the matching effect between the two reaches the optimal. For example, the target region can be defined as a region with a small difference in the positive and negative electrode capacities and a high energy utilization rate. By analyzing the aggregation of the mapping points, a rectangular region or other forms of boundaries can be drawn to represent the set of models that meet the design goals.

[0053] Finally, according to the previously determined target region, all the first lithium-ion capacitor models corresponding to the mapping points within this region in the coordinate system are screened out. These models represent the design solutions that meet the best capacity matching under the goal of positive and negative electrode capacity adjustment. These screened models will become the second lithium-ion capacitor models.

[0054] S103: According to the tab kinetics characteristics of the positive and negative electrode tabs of the lithium-ion capacitor, screen a plurality of second lithium-ion capacitor models to obtain a third lithium-ion capacitor model.

[0055] In this embodiment, the electrode kinetic characteristics refer to the characteristics of the positive and negative electrode materials in a lithium-ion capacitor or battery during charge and discharge processes, such as electrochemical reactions, ion transport, and electron transport. In this step, based on the kinetic characteristics of the positive and negative electrodes, the second lithium-ion capacitor model is further screened to ensure that the selected model not only achieves the best state in capacity matching but also has good dynamic response performance in terms of charge and discharge rate, reaction impedance, conductivity, etc. Then, by comparing the advantages and disadvantages of each model in terms of dynamic response, those lithium-ion capacitor models with higher charge and discharge efficiency, lower internal resistance, and good ion transport performance are selected, and finally the third lithium-ion capacitor model is obtained. This screening step aims to ensure that the selected model can perform excellently in fast charge and discharge and high power density applications, thereby improving the performance and reliability of the overall device.

[0056] The specific steps may include: S1031: Determine the kinetic characteristics of the positive electrode of the lithium-ion capacitor as the third correction target, and determine the kinetic characteristics of the negative electrode of the lithium-ion capacitor as the fourth correction target; S1032: Screen multiple second lithium-ion capacitor models according to the matching results of the third correction target and the fourth correction target to obtain the third lithium-ion capacitor model.

[0057] In the implementation of S1031 to S1032, the third correction target is the kinetic characteristics of the positive electrode, which may include but are not limited to conductivity, lithium insertion / extraction rate, reaction impedance of the electrode, etc., and its correction direction may be to improve the ion conductivity of the positive electrode material. The kinetic characteristics of the positive electrode determine its response speed to charge during charge and discharge processes, affecting the charging rate, cycle performance, and efficiency of the lithium-ion capacitor. Therefore, the main purpose of the third correction target is to improve the performance of the positive electrode during fast charge and discharge, enabling it to better respond to battery load changes. The fourth correction target is the kinetic characteristics of the negative electrode, including conductivity, ion mobility, lithium insertion / extraction rate similar to the positive electrode, and the electrochemical reaction kinetics of the electrode. The kinetic characteristics of the negative electrode have an important impact on the power density and overall charge and discharge efficiency of the lithium-ion capacitor. Reasonably optimizing the kinetic characteristics of the negative electrode helps to improve the charging efficiency of the lithium-ion capacitor, reduce the reaction impedance, and extend the cycle life. By taking the kinetic characteristics of the positive and negative electrodes as correction targets, it can ensure that on the basis of capacity matching, the fast charge and discharge ability and power density of the lithium-ion capacitor are further optimized, ensuring that the kinetic responses of the two electrodes are more coordinated and avoiding affecting the overall performance due to the lag or excessive speed of response of one electrode.

[0058] Considering the correction objectives of the anode and cathode kinetic characteristics, the model that performs optimally in this regard is selected. The specific selection process may include the following steps: Kinetic characteristic evaluation: Analyze each second lithium-ion capacitor model according to the kinetic characteristics of the anode and cathode. For example, for the anode, evaluate its charge transfer rate, ion diffusion rate, and reaction impedance during charge and discharge; for the cathode, analyze parameters such as its ion mobility and electrochemical reaction rate. By comparing these characteristics, identify the lithium-ion capacitor model that best meets the kinetic correction objectives. The specific steps may include: S10321: Map multiple second lithium-ion capacitor models to the second screening coordinate system to obtain multiple mapping points; S10322: Determine the third screening direction according to the third correction objective and the fourth screening direction according to the fourth correction objective. The third screening direction is used to characterize the change trend of the anode electrode kinetic characteristic adjustment, and the second screening direction is used to characterize the change trend of the cathode electrode kinetic characteristic adjustment; S10323: Determine the target area in the second screening coordinate system according to the third screening direction and the fourth screening direction; S10324: Screen the second lithium-ion capacitor models corresponding to the mapping points in the target area of the second screening coordinate system as the third lithium-ion capacitor models.

[0059] In the above embodiment, in this step, multiple second lithium-ion capacitor models will be mapped to the second screening coordinate system to form several mapping points. In the second screening coordinate system, the two axes will respectively represent the kinetic characteristics of the anode and cathode. Specifically, the X-axis: represents the kinetic characteristics of the anode electrode, such as the conductivity, lithium intercalation / deintercalation rate, and reaction impedance of the anode. The Y-axis: represents the kinetic characteristics of the cathode electrode, such as the conductivity, ion mobility, lithium intercalation / deintercalation rate, and reaction impedance of the cathode. Each second lithium-ion capacitor model will occupy a specific position in the coordinate system according to its kinetic characteristics, reflecting its performance in terms of kinetics. Through these two directions, the optimization process of the dynamic response of the anode and cathode can be quantified, providing clear guidance for subsequent screening.

[0060] Combining the correction directions of the anode and cathode, a target area is determined. This area is determined by the third screening direction and the fourth screening direction in the second screening coordinate system. The target area represents the area where the lithium-ion capacitor models with relatively superior anode and cathode kinetic characteristics are located. These models have better dynamic response capabilities, can achieve more efficient charge and discharge processes, and have better power output performance.

[0061] As an example, the third screening direction can be represented by a planning line, which represents the direction of cathode material optimization, such as the gradual improvement of cathode conductivity and ion migration rate. Similarly, the fourth screening direction can be represented by another planning line, which represents the optimization direction of the anode material, such as the improvement of anode conductivity and lithium insertion / extraction rate. Through these two planning lines, we can define a target area in the second screening coordinate system. This area is formed by the intersection of these two planning lines and represents the area where the kinetic characteristics of both the cathode and anode are well optimized. Next, all the second lithium-ion capacitor models to be screened are mapped into this coordinate system. According to the positions of the kinetic characteristics of their cathodes and anodes, the lithium-ion capacitor models located within the target area are screened out. These models exhibit the best kinetic performance and have ideal charge-discharge response and power output capabilities. Through this method, the third lithium-ion capacitor models that meet the requirements can be effectively screened out.

[0062] S104: Evaluate the energy storage characteristics of multiple third lithium-ion capacitor models according to the preset energy storage characteristic evaluation rules, and determine the target electrode configuration parameters of the lithium-ion capacitor based on the evaluation results.

[0063] In this embodiment, the energy storage characteristic evaluation rules are standards set according to actual application requirements (such as power density, energy density, cycle life, self-discharge rate, etc.). The energy storage characteristic evaluation rules can include various different types of energy storage characteristic evaluation rules. The evaluation rules can include but are not limited to the following aspects: Energy density: Evaluate the energy stored per unit volume or unit mass of each model, and measure its energy storage capacity in actual applications.

[0064] Power density: Evaluate the power that the lithium-ion capacitor can provide in a short period of time to ensure its sufficient response ability in applications with high power requirements.

[0065] Cycle life: Evaluate the ability of the lithium-ion capacitor to maintain good performance after multiple charge-discharge cycles to extend its service life.

[0066] Self-discharge rate: Evaluate the energy loss of the lithium-ion capacitor when not in use. A lower self-discharge rate can ensure that the lithium-ion capacitor can still maintain a high energy reserve after a long period of non-use.

[0067] Next, evaluate the energy storage characteristics of multiple third lithium-ion capacitor models through the energy storage characteristic evaluation rules, and select the lithium-ion capacitor model with the best performance meeting the requirements. Finally, based on the evaluation results, determine the target electrode configuration parameters for each lithium-ion capacitor model. These parameters include the material selection, thickness, specific surface area, etc. of the positive and negative electrodes, and these configurations determine the energy storage characteristics and overall performance of the lithium-ion capacitor. The model with the best performance during the evaluation process will be used as the target lithium-ion capacitor, and its electrode configuration parameters will be used as the actual design parameters to ensure that the final lithium-ion capacitor can meet the preset energy storage characteristic requirements. The specific steps include: S1041: Obtain the voltage-current response waveform of the third lithium-ion capacitor model, and determine the corresponding energy storage characteristic link response based on the voltage-current response waveform; S1042: Evaluate the energy storage characteristic link response according to the preset energy storage characteristic evaluation rules.

[0068] In the implementation manners of S1041 to S1042, first, an electrical simulation test needs to be performed on the third lithium-ion capacitor model to obtain the real-time response data of the voltage and current of the lithium-ion capacitor during the charge and discharge processes. These data are obtained by applying different charge and discharge currents and observing the voltage changes. The voltage-current response waveform is a graph representing the change of voltage with time during the charge and discharge of the lithium-ion capacitor, reflecting the performance of the lithium-ion capacitor under different load conditions, and can reveal important characteristics such as the charging rate, discharging rate, energy efficiency, and power output ability of the lithium-ion capacitor. Next, convert the voltage-current response waveform into an energy storage characteristic link response. To efficiently extract the energy storage characteristic link response from the voltage-current waveform, the voltage-current response waveform can be subjected to pattern conversion, and digital signal processing technology can be used to convert it into a data format suitable for analysis. Subsequently, sampling and convolution operations are performed on the converted pattern to further calculate the energy storage characteristic link response. Through the convolution operation, the time-domain characteristics in the voltage waveform can be processed to obtain a link response that can accurately reflect the characteristics and performance of the lithium-ion capacitor during the energy storage process. This method can significantly reduce the amount of data processing compared to directly evaluating based on waveform data, making the evaluation process more efficient, and at the same time avoiding the possible computational burden when dealing with complex waveform data, thereby improving the speed and accuracy of the evaluation.

[0069] In a feasible implementation manner, evaluate the energy storage characteristic link response according to the preset energy storage characteristic evaluation rules, and based on the evaluation results, determine the target electrode configuration parameters of the lithium-ion capacitor, including: Obtain the evaluation scores of the energy storage characteristic link response under the energy storage characteristic evaluation rules of each evaluation type; Determine the comprehensive energy storage characteristic score of the energy storage characteristic link response according to the evaluation score and the corresponding weight coefficient; Determine the target electrode configuration parameters of the lithium-ion capacitor according to the comprehensive energy storage characteristic score of the energy storage characteristic link response.

[0070] In this embodiment, first, obtain the evaluation scores of the energy storage characteristic link response under each evaluation type. These evaluation types include energy density, power density, charge-discharge efficiency, cycle life, self-discharge rate, etc., which are all key energy storage characteristics of the lithium-ion capacitor. During the evaluation process, the energy storage characteristic link response will be evaluated according to the criteria of each evaluation type to generate corresponding evaluation scores. For example, for energy density, the evaluation score will be based on the ratio of the energy storage capacity of the lithium-ion capacitor to its volume or mass; for power density, the evaluation score will be based on the maximum power that the lithium-ion capacitor can release per unit time. Each evaluation type will generate an evaluation score separately.

[0071] Then, determine the comprehensive energy storage characteristic score of the energy storage characteristic link response according to the evaluation score and the corresponding weight coefficient. In this step, each evaluation score will be multiplied by a weight coefficient according to its importance, and the weight coefficient can be determined by preset design requirements or application scenarios. For example, if energy density is more important than power density in a specific application, then the weight coefficient of energy density will be higher. By summing up all the evaluation scores after weighting, a comprehensive energy storage characteristic score can be obtained. This score is a quantitative representation of the comprehensive performance of the lithium-ion capacitor, reflecting the comprehensive performance of the lithium-ion capacitor in various key characteristics.

[0072] Finally, determine the target electrode configuration parameters of the lithium-ion capacitor according to the comprehensive energy storage characteristic score of the energy storage characteristic link response. A model with a high comprehensive energy storage characteristic score can exhibit better overall performance, so it will be selected as the target model. At this time, the electrode configuration parameters of the lithium-ion capacitor (such as the positive and negative electrode capacities, material selection, electrode thickness, etc.) will be determined according to the characteristics of this model. These target electrode configuration parameters will provide a basis for actual manufacturing and optimized design to ensure that the lithium-ion capacitor can meet the preset energy storage characteristic requirements in actual applications.

[0073] In summary, by combining the energy storage characteristic link response with the evaluation rules, the best lithium-ion capacitor model is accurately selected, and the most suitable electrode configuration parameters are determined according to its comprehensive score, thereby optimizing the design of the lithium-ion capacitor to meet the requirements of different application scenarios.

[0074] This application effectively solves multiple key problems in the performance optimization process of lithium-ion capacitors through a systematic multi-level screening and evaluation process. First, by obtaining the electrode configuration parameters of the lithium-ion capacitor and constructing a preliminary model, multiple alternative solutions can be provided for different design objectives. Screening multiple preliminary models according to the capacities of the positive and negative electrodes helps quickly eliminate design solutions that do not meet the capacity requirements, ensuring that the capacitor can achieve the expected energy storage capacity in specific application scenarios. Then, by further screening the kinetic characteristics of the positive and negative electrodes, the performance of the capacitor can be refined, solving the performance bottleneck caused by the mismatch of the kinetic characteristics of the positive and negative electrode materials in traditional design methods, and ensuring that the charge and discharge rate and reaction ability of the capacitor in actual use meet the expected requirements. Finally, combined with the preset energy storage characteristic evaluation rules, by evaluating the energy storage characteristics of multiple screened models, the target electrode configuration parameters of the capacitor can be accurately determined. This process not only improves the accuracy and pertinence of capacitor design, but also can flexibly adjust the electrode configuration under different application requirements, optimize the energy storage characteristics of the capacitor, and balance the energy density, power density and cycle life.

[0075] In a second aspect, based on the same inventive concept, with reference to Figure 2 , there is shown a lithium-ion capacitor design system 200 based on energy storage characteristics provided by an embodiment of the present application. The system includes: An acquisition module 201, which acquires the electrode configuration parameters and basic configuration parameters of the lithium-ion capacitor, and constructs multiple first lithium-ion capacitor models according to the electrode configuration parameters and basic configuration parameters. Each first lithium-ion capacitor model corresponds to an electrode configuration parameter; A first screening module 202, configured to screen multiple first lithium-ion capacitor models according to the electrode capacities of the positive and negative electrodes of the lithium-ion capacitor to obtain a second lithium-ion capacitor model; A second screening module 203, configured to screen multiple second lithium-ion capacitor models according to the electrode kinetic characteristics of the positive and negative electrodes of the lithium-ion capacitor to obtain a third lithium-ion capacitor model; An evaluation module 204, configured to evaluate the energy storage characteristics of multiple third lithium-ion capacitor models according to the preset energy storage characteristic evaluation rules, and determine the target electrode configuration parameters of the lithium-ion capacitor according to the evaluation results.

[0076] In a possible implementation manner of the second aspect, a test module, the acquisition module includes: A first acquisition sub-module, configured to acquire the application requirement information of the lithium-ion capacitor, and determine the theoretical design indexes of the lithium-ion capacitor according to the application requirement information; A parameter determination sub-module, configured to determine various electrode configuration parameters and basic configuration parameters of the lithium-ion capacitor according to theoretical design specifications.

[0077] In a possible implementation manner of the second aspect, the first screening module includes: A correction target to-be-determined sub-module, configured to determine the electrode capacity of the positive electrode of the lithium-ion capacitor as the first correction target, and determine the electrode capacity of the negative electrode of the lithium-ion capacitor as the second correction target; A first screening sub-module, configured to screen multiple first lithium-ion capacitor models according to the matching result of the first correction target and the second correction target, and obtain a second lithium-ion capacitor model.

[0078] In a possible implementation manner of the second aspect, the first screening sub-module includes: A mapping unit, configured to map multiple first lithium-ion capacitor models to a first screening coordinate system to obtain multiple mapping points; A direction determination unit, configured to determine a first screening direction according to the first correction target, and determine a second screening direction according to the second correction target. The first screening direction is used to characterize the change trend of the positive electrode capacity adjustment, and the second screening direction is used to characterize the change trend of the negative electrode capacity adjustment; A determination unit, configured to determine a target area in the first screening coordinate system according to the first screening direction and the second screening direction; A screening unit, configured to screen the first lithium-ion capacitor models corresponding to the mapping points in the target area in the first screening coordinate system as the second lithium-ion capacitor models.

[0079] In a possible implementation manner of the second aspect, the second screening module includes: A correction target to-be-determined sub-module, configured to determine the kinetic characteristics of the positive electrode of the lithium-ion capacitor as the third correction target, and determine the kinetic characteristics of the negative electrode of the lithium-ion capacitor as the fourth correction target; A second screening sub-module, configured to screen multiple second lithium-ion capacitor models according to the matching result of the third correction target and the fourth correction target, and obtain a third lithium-ion capacitor model.

[0080] In a possible implementation manner of the second aspect, the second screening sub-module includes: A mapping unit, configured to map multiple second lithium-ion capacitor models to a second screening coordinate system to obtain multiple mapping points; A direction determination unit, configured to determine a third screening direction according to the third correction target, and determine a fourth screening direction according to the fourth correction target. The third screening direction is used to characterize the change trend of the positive electrode kinetic characteristics adjustment, and the second screening direction is used to characterize the change trend of the negative electrode kinetic characteristics adjustment; A determination unit, configured to determine a target area in a second screening coordinate system according to a third screening direction and a fourth screening direction; A screening unit, configured to screen a second lithium-ion capacitor model corresponding to a mapping point in the target area in the second screening coordinate system as a third lithium-ion capacitor model.

[0081] In a possible implementation manner of the second aspect, an evaluation module includes: A data processing sub-module, configured to obtain a voltage-current response waveform of the third lithium-ion capacitor model, and determine a corresponding energy storage characteristic link response according to the voltage-current response waveform; An evaluation sub-module, configured to evaluate the energy storage characteristic link response according to a preset energy storage characteristic evaluation rule.

[0082] In a possible implementation manner of the second aspect, the evaluation sub-module includes: A first evaluation score determination unit, configured to obtain an evaluation score of the energy storage characteristic link response under the energy storage characteristic evaluation rule of each evaluation type; A second evaluation score determination unit, configured to determine a comprehensive energy storage characteristic score of the energy storage characteristic link response according to the evaluation score and the corresponding weight coefficient; A parameter determination unit, configured to determine a target electrode configuration parameter of the lithium-ion capacitor according to the comprehensive energy storage characteristic score of the energy storage characteristic link response.

[0083] It should be noted that for a specific implementation manner of a lithium-ion capacitor design system 200 based on energy storage characteristics in an embodiment of the present application, reference is made to the specific implementation manner of a lithium-ion capacitor design method based on energy storage characteristics proposed in the first aspect of the embodiments of the present application, which will not be elaborated herein.

[0084] An embodiment of the present application further provides an electronic device, which may include: a memory and one or more processors. The memory and the processor are coupled. The memory is used to store computer program code, and the computer program code includes computer instructions. When the processor executes the computer instructions, the electronic device can execute each function or step in the above method embodiment.

[0085] This embodiment further provides a computer-readable storage medium, in which computer instructions are stored. When the computer instructions run on an electronic device, the electronic device is enabled to execute each function or step in the above method embodiment.

[0086] This embodiment further provides a computer program product, which when running on a computer enables the computer to execute each function or step in the above method embodiment.

[0087] Among them, the electronic device, computer-readable storage medium, and computer program product provided in this embodiment are all used to execute the corresponding methods provided above. Therefore, the beneficial effects they can achieve can refer to the beneficial effects in the corresponding methods provided above, and will not be elaborated here.

[0088] The above embodiments can be implemented in whole or in part by software, hardware (such as circuits), firmware, or any combination thereof. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the processes or functions according to the embodiments of the present application are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable systems. The computer program or instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another. For example, the computer program or instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (such as infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that the computer can access, or a data storage device such as a server or data center that contains one or more collections of available media. The available medium can be a magnetic medium (such as a floppy disk, hard disk, magnetic tape), an optical medium (such as a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state drive.

[0089] It should be understood that in various embodiments of the present application, the magnitudes of the serial numbers of the above processes do not mean the order of execution. The order of execution of each process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

[0090] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present application.

[0091] Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the above-described systems, systems, and units can refer to the corresponding processes in the foregoing method embodiments, and will not be elaborated here.

[0092] In several embodiments provided in the present application, it should be understood that the disclosed systems, systems, and methods can be implemented in other ways. For example, the system embodiments described above are merely illustrative. For example, the division of units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections between each other can be through some interfaces. The indirect couplings or communication connections of systems or units can be in electrical, mechanical, or other forms.

[0093] The units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0094] In addition, in each embodiment of the present application, each functional unit can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit.

[0095] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods in each embodiment of the present application. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical discs that can store program codes.

[0096] The above is only the specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art within the technical scope disclosed in the present application can easily think of changes or substitutions, which should all be covered by the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. Obtain the electrode configuration parameters and basic configuration parameters of the lithium-ion capacitor, and construct multiple first lithium-ion capacitor models according to the electrode configuration parameters and the basic configuration parameters, where each of the first lithium-ion capacitor models corresponds to an electrode configuration parameter; Screen the multiple first lithium-ion capacitor models according to the electrode capacities of the positive and negative electrodes of the lithium-ion capacitor to obtain a second lithium-ion capacitor model; Screen the multiple second lithium-ion capacitor models according to the electrode kinetic characteristics of the positive and negative electrodes of the lithium-ion capacitor to obtain a third lithium-ion capacitor model; Evaluate the energy storage characteristics of the multiple third lithium-ion capacitor models according to a preset energy storage characteristic evaluation rule, and determine the target electrode configuration parameters of the lithium-ion capacitor according to the evaluation results.

2. The design method of a lithium-ion capacitor based on energy storage characteristics according to claim 1, wherein The obtaining of the electrode configuration parameters and basic configuration parameters of the lithium-ion capacitor includes: Obtain the application requirement information of the lithium-ion capacitor, and determine the theoretical design indexes of the lithium-ion capacitor according to the application requirement information; Determine various electrode configuration parameters and basic configuration parameters of the lithium-ion capacitor according to the theoretical design indexes.

3. The design method of a lithium-ion capacitor based on energy storage characteristics according to claim 1, characterized in that, The screening of the multiple first lithium-ion capacitor models according to the electrode capacities of the positive and negative electrodes of the lithium-ion capacitor to obtain a second lithium-ion capacitor model includes: Determine the electrode capacity of the positive electrode of the lithium-ion capacitor as the first correction target, and determine the electrode capacity of the negative electrode of the lithium-ion capacitor as the second correction target; Screen the multiple first lithium-ion capacitor models according to the matching result of the first correction target and the second correction target to obtain the second lithium-ion capacitor model.

4. The design method of a lithium-ion capacitor based on energy storage characteristics according to claim 3, wherein, The screening of the multiple first lithium-ion capacitor models according to the matching result of the first correction target and the second correction target to obtain the second lithium-ion capacitor model includes: Map the multiple first lithium-ion capacitor models to a first screening coordinate system to obtain multiple mapping points; Determine a first screening direction according to the first correction target, and determine a second screening direction according to the second correction target. The first screening direction is used to characterize the change trend of the positive electrode capacity adjustment, and the second screening direction is used to characterize the change trend of the negative electrode capacity adjustment; Determine the target area in the first screening coordinate system according to the first screening direction and the second screening direction; Screen the first lithium-ion capacitor models corresponding to the mapping points in the target area in the first screening coordinate system as the second lithium-ion capacitor models.

5. The design method of a lithium-ion capacitor based on energy storage characteristics according to claim 1, wherein The screening of the multiple second lithium-ion capacitor models according to the electrode kinetic characteristics of the positive and negative electrodes of the lithium-ion capacitor to obtain a third lithium-ion capacitor model includes: Determine the kinetic characteristic of the positive electrode of the lithium-ion capacitor as the third correction target, and determine the kinetic characteristic of the negative electrode of the lithium-ion capacitor as the fourth correction target; According to the matching results of the third correction target and the fourth correction target, screen multiple second lithium-ion capacitor models to obtain the third lithium-ion capacitor model.

6. The design method of a lithium-ion capacitor based on energy storage characteristics according to claim 5, characterized in that, According to the matching results of the third correction target and the fourth correction target, screening multiple second lithium-ion capacitor models to obtain the third lithium-ion capacitor model includes: Map multiple second lithium-ion capacitor models to a second screening coordinate system to obtain multiple mapping points; Determine a third screening direction according to the third correction target, and determine a fourth screening direction according to the fourth correction target. The third screening direction is used to characterize the change trend of the adjustment of the dynamics characteristics of the positive electrode plate, and the second screening direction is used to characterize the change trend of the adjustment of the dynamics characteristics of the negative electrode plate; Determine the target area in the second screening coordinate system according to the third screening direction and the fourth screening direction; Screen the second lithium-ion capacitor models corresponding to the mapping points in the target area in the second screening coordinate system as the third lithium-ion capacitor models.

7. The design method of a lithium-ion capacitor based on energy storage characteristics according to claim 1, wherein Evaluating the energy storage characteristics of multiple third lithium-ion capacitor models according to the preset energy storage characteristics evaluation rules includes: Obtain the voltage-current response waveform of the third lithium-ion capacitor model, and determine the corresponding energy storage characteristic link response according to the voltage-current response waveform; Evaluate the energy storage characteristic link response according to the preset energy storage characteristics evaluation rules.

8. The design method of a lithium-ion capacitor based on energy storage characteristics according to claim 1, characterized in that The energy storage characteristics evaluation rules include multiple different types of energy storage characteristics evaluation rules. Evaluating the energy storage characteristic link response according to the preset energy storage characteristics evaluation rules, and determining the target electrode configuration parameters of the lithium-ion capacitor according to the evaluation results, includes: Obtain the evaluation scores of the energy storage characteristic link response under each evaluation type of energy storage characteristics evaluation rules; Determine the comprehensive energy storage characteristic score of the energy storage characteristic link response according to the evaluation score and the corresponding weight coefficient; Determine the target electrode configuration parameters of the lithium-ion capacitor according to the comprehensive energy storage characteristic score of the energy storage characteristic link response.

9. A lithium-ion capacitor design system based on energy storage characteristics, characterized in that, The system includes: An acquisition module, configured to acquire the electrode configuration parameters and basic configuration parameters of the lithium-ion capacitor, and construct multiple first lithium-ion capacitor models according to the electrode configuration parameters and the basic configuration parameters. Each first lithium-ion capacitor model corresponds to an electrode configuration parameter; A first screening module, configured to screen multiple first lithium-ion capacitor models according to the electrode capacities of the positive electrode plate and the negative electrode plate of the lithium-ion capacitor to obtain a second lithium-ion capacitor model; A second screening module, configured to screen multiple second lithium-ion capacitor models according to the electrode dynamics characteristics of the positive electrode plate and the negative electrode plate of the lithium-ion capacitor to obtain a third lithium-ion capacitor model; An evaluation module, configured to evaluate the energy storage characteristics of multiple third lithium-ion capacitor models according to the preset energy storage characteristics evaluation rules, and determine the target electrode configuration parameters of the lithium-ion capacitor according to the evaluation results.

10. The system according to claim 9, wherein The test module, the acquisition module includes: The first acquisition sub-module is used to acquire the application requirement information of the lithium-ion capacitor and determine the theoretical design indexes of the lithium-ion capacitor according to the application requirement information; The parameter determination sub-module is used to determine various electrode configuration parameters and basic configuration parameters of the lithium-ion capacitor according to the theoretical design indexes.

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