A design method and system for lithium ion capacitors based on energy storage characteristics

By constructing a lithium-ion capacitor model and optimizing the capacity and kinetic characteristics of the positive and negative electrode materials, the problem of material mismatch in lithium-ion capacitor design was solved, a balanced design of energy density, power density and cycle life was achieved, and the overall performance and reliability of the capacitor were improved.

CN120372957BActive Publication Date: 2025-10-10SICHUAN JIUKE SUPERCONTINUOUS STORAGE TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202510499821.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-04-21
Publication Date
2025-10-10
Estimated Expiration
2045-04-21

AI Technical Summary

Technical Problem

In existing lithium-ion capacitor designs, the capacity and kinetic properties of the positive and negative electrode materials are mismatched, leading to overall performance and reliability issues, including capacity waste, voltage imbalance, shortened cycle life, and decreased thermal stability.

Method used

By constructing a lithium-ion capacitor model, multi-level screening is performed based on the electrode configuration parameters and kinetic characteristics, the capacity and kinetic characteristics matching of the positive and negative electrode materials is optimized, and the target electrode configuration parameters are determined in combination with the energy storage characteristic evaluation rules.

Benefits of technology

A balanced design among energy density, power density and cycle life of lithium-ion capacitors is achieved, which improves the practical value and operational reliability of the devices.

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Abstract

The application provides a lithium ion capacitor design method and system based on energy storage characteristics, relating to the technical field of lithium ion capacitors. The method comprises: 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 capacity of the positive electrode and negative electrode 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 electrode and negative electrode 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 result. The application aims to improve the problem that the existing design method affects the overall performance and reliability of the lithium ion capacitor.
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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 energy storage device that combines the advantages of lithium-ion batteries and super lithium-ion capacitors, offering high energy density, high power density, long cycle life, and low self-discharge. Its structure can consist of a lithium-intercalated 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 of the designs are based on user demand indicators, ignoring the mismatch between the capacity and kinetic characteristics of the positive and negative electrode materials of the lithium-ion capacitor, which in turn affects the overall performance and reliability of the lithium-ion capacitor. Summary of the Invention

[0004] The embodiments of the present application provide a lithium ion capacitor design method and system based on energy storage characteristics, which are used to improve the problem that good lithium ion capacitors may be degraded when the insulation resistance of the lithium ion capacitors is tested.

[0005] To achieve the above objectives, the embodiments of the present application adopt the following technical solutions:

[0006] In a first aspect, an embodiment of the present application provides a lithium ion capacitor design method based on energy storage characteristics, the method comprising: obtaining electrode configuration parameters of the lithium ion capacitor, and constructing a first lithium ion capacitor model according to the electrode configuration parameters;

[0007] Screening a plurality of first lithium ion capacitor models according to the electrode capacity of the positive electrode sheet and the negative electrode sheet of the lithium ion capacitor to obtain a second lithium ion capacitor model;

[0008] Screening a plurality of second lithium-ion capacitor models according to the dynamic characteristics of the positive electrode sheet and the negative electrode sheet of the lithium-ion capacitor to obtain a third lithium-ion capacitor model;

[0009] The energy storage characteristics of the plurality of third lithium ion capacitor models are evaluated according to a preset energy storage characteristic evaluation rule, and target electrode configuration parameters of the lithium ion capacitor are determined based on the evaluation results.

[0010] In a possible implementation of the first aspect, obtaining electrode configuration parameters and basic configuration parameters of a lithium-ion capacitor includes:

[0011] Obtain application requirement information of lithium-ion capacitors, and determine theoretical design indicators of lithium-ion capacitors based on the application requirement information;

[0012] The various electrode configuration parameters and basic configuration parameters of lithium-ion capacitors are determined based on theoretical design indicators.

[0013] In a possible implementation of the first aspect, a plurality of first lithium ion capacitor models are screened according to the electrode capacity of the positive electrode sheet and the negative electrode sheet of the lithium ion capacitor to obtain a second lithium ion capacitor model, including:

[0014] The electrode capacity of the positive electrode of the lithium ion capacitor is determined as a first correction target, and the electrode capacity of the negative electrode of the lithium ion capacitor is determined as a second correction target;

[0015] According to the matching results of the first correction target and the second correction target, the plurality of first lithium ion capacitor models are screened to obtain a second lithium ion capacitor model.

[0016] In a possible implementation of the first aspect, screening the plurality of first lithium ion capacitor models according to the matching results of the first correction target and the second correction target to obtain the second lithium ion capacitor model includes:

[0017] Mapping the plurality of first lithium ion capacitor models to a first screening coordinate system to obtain a plurality of mapping points;

[0018] 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 sheet capacity adjustment, and the second screening direction is used to characterize the change trend of the negative electrode sheet capacity adjustment;

[0019] determining a target area in a first screening coordinate system according to the first screening direction and the second screening direction;

[0020] The first lithium ion capacitor model corresponding to the mapping point in the target area in the first screening coordinate system is screened as the second lithium ion capacitor model.

[0021] In a possible implementation of the first aspect, a plurality of second lithium ion capacitor models are screened according to the dynamic characteristics of the positive electrode sheet and the negative electrode sheet of the lithium ion capacitor to obtain a third lithium ion capacitor model, including:

[0022] 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;

[0023] According to the matching results of the third correction target and the fourth correction target, the plurality of second lithium ion capacitor models are screened to obtain a third lithium ion capacitor model.

[0024] In a possible implementation of the first aspect, screening multiple second lithium ion capacitor models according to matching results of the third correction target and the fourth correction target to obtain a third lithium ion capacitor model includes:

[0025] Mapping the plurality of second lithium ion capacitor models to a second screening coordinate system to obtain a plurality of mapping points;

[0026] Determine a third screening direction based on the third correction target, and determine a fourth screening direction based on the fourth correction target, the third screening direction is used to characterize the changing trend of the adjustment of the kinetic characteristics of the positive electrode sheet, and the second screening direction is used to characterize the changing trend of the adjustment of the kinetic characteristics of the negative electrode sheet;

[0027] determining a target area in the second screening coordinate system according to the third screening direction and the fourth screening direction;

[0028] The second lithium ion capacitor model corresponding to the mapping point in the target area in the second screening coordinate system is screened as a third lithium ion capacitor model.

[0029] In a possible implementation of the first aspect, evaluating the energy storage characteristics of the plurality of third lithium ion capacitor models according to a preset energy storage characteristic evaluation rule includes:

[0030] Obtaining a voltage-current response waveform of the third lithium ion capacitor model, and determining a corresponding energy storage characteristic link response according to the voltage-current response waveform;

[0031] The energy storage characteristic link response is evaluated according to the preset energy storage characteristic evaluation rules.

[0032] In one possible implementation of the first aspect, the energy storage characteristic evaluation rules include multiple different types of energy storage characteristic evaluation rules, the energy storage characteristic link response is evaluated according to the preset energy storage characteristic evaluation rules, and the target electrode configuration parameters of the lithium ion capacitor are determined based on the evaluation results, including:

[0033] Obtaining an evaluation score of the energy storage characteristic link response under the energy storage characteristic evaluation rule of each evaluation type;

[0034] Determine the comprehensive energy storage characteristic score of the energy storage characteristic link response based on the evaluation score and the corresponding weight coefficient;

[0035] The target electrode configuration parameters of the lithium-ion capacitor are determined based on the comprehensive energy storage characteristic score of the energy storage characteristic link response.

[0036] In a second aspect, the present application provides another lithium ion capacitor design system based on energy storage characteristics, the system comprising:

[0037] An acquisition module is used to acquire the electrode configuration parameters and basic configuration parameters of the lithium ion capacitor, and construct a plurality of first lithium ion capacitor models according to the electrode configuration parameters and the basic configuration parameters, each first lithium ion capacitor model corresponds to a electrode configuration parameter;

[0038] A first screening module is configured to screen a plurality of first lithium ion capacitor models according to the electrode capacity of the positive electrode sheet and the negative electrode sheet of the lithium ion capacitor to obtain a second lithium ion capacitor model;

[0039] A second screening module is used to screen the plurality of second lithium ion capacitor models according to the electrode dynamic characteristics of the positive electrode sheet and the negative electrode sheet of the lithium ion capacitor to obtain a third lithium ion capacitor model;

[0040] The evaluation module is used to evaluate the energy storage characteristics of multiple third lithium ion capacitor models according to preset energy storage characteristic evaluation rules, and determine the target electrode configuration parameters of the lithium ion capacitor based on the evaluation results.

[0041] In a possible implementation of the second aspect, the testing module and the acquiring module include:

[0042] A first acquisition submodule is used to obtain application requirement information of the lithium ion capacitor and determine theoretical design indicators of the lithium ion capacitor according to the application requirement information;

[0043] The parameter determination submodule is used to determine various electrode configuration parameters and basic configuration parameters of the lithium-ion capacitor based on theoretical design indicators.

[0044] In a possible implementation of the second aspect, the first screening module includes:

[0045] A correction target to be determined submodule is used to determine the electrode capacity of the positive electrode of the lithium ion capacitor as a first correction target, and to determine the electrode capacity of the negative electrode of the lithium ion capacitor as a second correction target;

[0046] The first screening submodule is configured to screen the plurality of 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.

[0047] In a possible implementation of the second aspect, the first screening submodule includes:

[0048] A mapping unit, configured to map the plurality of first lithium ion capacitor models to a first screening coordinate system to obtain a plurality of mapping points;

[0049] a direction determination unit, configured to determine a first screening direction according to a first correction target, and to determine a second screening direction according to a second correction target, wherein the first screening direction is used to characterize a change trend of the positive electrode plate capacity adjustment, and the second screening direction is used to characterize a change trend of the negative electrode plate capacity adjustment;

[0050] a determining unit, configured to determine a target area in a first screening coordinate system according to the first screening direction and the second screening direction;

[0051] The screening unit is configured to screen the first lithium ion capacitor model corresponding to the mapping point in the target area in the first screening coordinate system as the second lithium ion capacitor model.

[0052] In a possible implementation of the second aspect, the second screening module includes:

[0053] A correction target to be determined submodule is used to determine the dynamic characteristics of the positive electrode plate of the lithium ion capacitor as the third correction target, and to determine the dynamic characteristics of the negative electrode plate of the lithium ion capacitor as the fourth correction target;

[0054] The second screening submodule is configured to screen the plurality of second lithium ion capacitor models according to the matching results of the third correction target and the fourth correction target to obtain a third lithium ion capacitor model.

[0055] In a possible implementation of the second aspect, the second screening submodule includes:

[0056] A mapping unit, configured to map the plurality of second lithium ion capacitor models to a second screening coordinate system to obtain a plurality of mapping points;

[0057] a direction determination unit, configured to determine a third screening direction according to a third correction target, and to determine a fourth screening direction according to a fourth correction target, wherein the third screening direction is used to characterize a trend of change in the adjustment of the kinetic characteristics of the positive electrode sheet, and the second screening direction is used to characterize a trend of change in the adjustment of the kinetic characteristics of the negative electrode sheet;

[0058] a determining unit, configured to determine a target area in the second screening coordinate system according to the third screening direction and the fourth screening direction;

[0059] The screening unit is configured to screen the second lithium ion capacitor model corresponding to the mapping point in the target area in the second screening coordinate system as a third lithium ion capacitor model.

[0060] In a possible implementation of the second aspect, the evaluation module includes:

[0061] a data processing submodule, configured to obtain a voltage-current response waveform of the third lithium-ion capacitor model and determine a corresponding energy storage characteristic link response based on the voltage-current response waveform;

[0062] The evaluation submodule is used to evaluate the energy storage characteristic link response according to the preset energy storage characteristic evaluation rules.

[0063] In a possible implementation of the second aspect, the evaluation submodule includes:

[0064] A first evaluation score determination unit is configured to obtain an evaluation score of the energy storage characteristic link response under the energy storage characteristic evaluation rule of each evaluation type;

[0065] A second evaluation score determination unit is used 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;

[0066] The parameter determination unit is used to 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.

[0067] In a third aspect, the present application also provides an electronic device, comprising: a memory and one or more processors, the memory being coupled to the processor; wherein computer program code is stored in the memory, the computer program code comprising computer instructions, and when the computer instructions are executed by the processor, the electronic device executes the method in any possible design mode of the above-mentioned first aspect.

[0068] In a fourth aspect, the present application provides a computer-readable storage medium comprising computer instructions; when the computer instructions are executed on an electronic device, the electronic device executes the method in the first aspect and any possible design thereof.

[0069] In a fifth aspect, the present application provides a computer program product. When the computer program product is run on an electronic device, the electronic device executes the method in the first aspect and any possible design thereof.

[0070] The application provides a lithium ion capacitor design method based on energy storage characteristics. The method comprises the following steps: obtaining electrode plate configuration parameters of a lithium ion capacitor, constructing a plurality of different lithium ion capacitor models, screening the models by using the electrode plate capacity and kinetic characteristics of the positive electrode and the negative electrode, and gradually optimizing the design scheme. First, appropriate electrode plate configuration parameters are selected according to theoretical design indexes. Then, the capacity and kinetic characteristics of the positive electrode material and the negative electrode material are screened and optimized, and the electrode plate configuration is adjusted for different design targets (for example, high energy density or high power density), so as to ensure that the capacitor meets the energy storage demand while optimizing the balance among the cycle life, the power density and the energy density. Finally, the configuration parameters of the target capacitor are further optimized by evaluating the response of the energy storage characteristics link and combining preset energy storage characteristic evaluation rules. The multi-level screening and evaluation method can adjust the design of the capacitor under different requirements, solve the difficulty caused by the mismatch of material characteristics in the traditional technology, and realize the balanced design of the lithium ion capacitor among the energy density, the power density and the cycle life.

[0071] The technical effects of the second aspect to the fifth aspect refer to those of the first aspect and any one of the embodiments thereof, which will not be repeated here. BRIEF DESCRIPTION OF DRAWINGS

[0072] Figure 1 A step schematic diagram of a lithium ion capacitor design method based on energy storage characteristics provided by the embodiments of the application.

[0073] Figure 2 A function module schematic diagram of a lithium ion capacitor design system based on energy storage characteristics provided by the embodiments of the application. DETAILED DESCRIPTION

[0074] The terms used in the following embodiments are only for the purpose of describing the specific embodiments and are not intended to be limiting on the application. As used in the specification and the appended claims of the application, the singular forms "a," "an," and "the" are intended to include both the singular and plural forms, unless the context clearly indicates otherwise. It will be further understood that "at least one" or "one or more" as used in the following embodiments means one or two or more (including two). The character " / " generally represents an "or" relationship between the front and rear associated objects.

[0075] The technical solutions in the embodiments of the application will be described below with reference to the drawings of the embodiments of the application. Obviously, the described embodiments are only some of the embodiments of the application, not all the embodiments.

[0076] In the following, the terms "first," "second," etc., are used for descriptive convenience only and should not be understood as indicating or implying relative importance or implicitly specifying the number of the technical features indicated. Thus, a feature defined as "first," "second," etc. may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "plurality" means two or more. For example, "plurality of processing units" refers to two or more processing units.

[0077] Furthermore, in the embodiments of the present application, "upper," "lower," "left," and "right" are not limited to being defined relative to the orientation of the components schematically shown in the drawings. It should be understood that these directional terms can be relative concepts. They are used for relative description and clarification, and may change accordingly based on changes in the orientation of the components in the drawings. In the drawings, the thickness of layers and regions is exaggerated for clarity, and the dimensional ratios between the components in the drawings do not reflect the actual dimensional ratios.

[0078] In the embodiments of this application, unless otherwise specified or limited, the term "connection" should be understood in a broad sense. For example, "connection" can mean fixed connection, detachable connection, or integration; it can mean direct connection or indirect connection through an intermediate medium. In addition, the term "electrical connection" can mean direct electrical connection or indirect electrical connection through an intermediate medium.

[0079] In the embodiments of the present application, the term "module" generally refers to a functional structure divided according to logic. The "module" can be implemented by pure hardware or a combination of hardware and software. In the embodiments of the present application, "and / or" describes the association relationship between 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 at the same time.

[0080] In the embodiments of this application, words such as "exemplary" or "for example" are used to indicate examples, illustrations, or descriptions. Any embodiment or design described as "exemplary" or "for example" in the embodiments of this application should not be interpreted as being preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "for example" is intended to present the relevant concepts in a concrete manner.

[0081] Currently, the design process for lithium-ion capacitors is guided by user-defined requirements, such as achieving specific energy density, power density, operating voltage range, or cycle life. This design model often focuses on the macroscopic performance of lithium-ion capacitors, configuring parameters and selecting materials based on aspects such as electrode size, electrolyte ratio, and electrode area ratio to quickly meet these requirements.

[0082] However, in this design idea, the difference in the micro-intrinsic performance of the materials used in the positive and negative electrodes is generally ignored, especially the serious inconsistency in capacity matching and dynamics matching.

[0083] From the perspective of capacity, the positive electrode can use high specific surface area activated carbon materials, whose capacity mainly depends on the electric double layer effect. Although the response speed is fast, the amount of charge that can be stored per unit mass or volume is limited, which is much lower than that of the negative electrode material. The negative electrode often uses lithium intercalation materials such as graphite and hard carbon, which have a high theoretical capacity and can intercalate more lithium ions. However, the reaction process is a solid-state intercalation and deintercalation mechanism, and the dynamic process is limited by factors such as diffusion speed and charge transfer impedance, so the response speed is significantly slower than that of the positive electrode material.

[0084] From the perspective of dynamics, the reaction process of the activated carbon positive electrode almost does not involve ion diffusion inside the material, mainly relying on surface adsorption / desorption, so it has extremely fast electrochemical response speed and is suitable for high-power working scenarios. On the contrary, in the lithium intercalation process of the negative electrode material, lithium ions need to enter the material's internal lattice structure from the electrolyte, which has a significant mass transfer bottleneck and reaction lag. The conductivity, charge transfer rate, and ion diffusion coefficient of the material significantly affect the overall dynamic performance.

[0085] Due to the asymmetry of the positive and negative electrodes in capacity and dynamic characteristics, the following problems may occur:

[0086] Capacity waste: one electrode material reaches its capacity limit, while the other electrode has not fully played its role, limiting the overall energy storage efficiency. Voltage imbalance: in long-term cycling, the polarization degree of the positive and negative electrodes is different, which may cause voltage drift and deviation from the safe working window. Shortened cycle life: one electrode material is aged due to excessive charging and discharging, leading to accelerated capacity decay. Decreased thermal stability: the dynamic lag leads to local overheating or polarization, increasing the risk of thermal runaway.

[0087] Based on this, the present application proposes the following invention concept: according to the application requirements, determine a plurality of lithium ion capacitor models with different design parameters, then perform multi-level screening on the lithium ion capacitor models based on the capacity and dynamic characteristics of the electrode sheets to ensure that the response speeds of the two electrodes match in the actual working process, avoiding polarization imbalance or voltage deviation; finally, evaluate and sort the screened models according to the preset energy storage characteristic evaluation rules (such as comprehensive indexes such as energy density, power density, efficiency, and cycle stability), select the optimal design scheme from them, and determine the final actual design parameters, thereby realizing the overall optimization of lithium ion capacitors in capacity utilization, dynamic matching, and system performance, and improving the practical value and operation reliability of the device.

[0088] Reference Figure 1The embodiment of the present invention provides a lithium ion capacitor design method based on energy storage characteristics, which is applied to a host computer and may specifically include the following steps:

[0089] S101: Acquire electrode configuration parameters and basic configuration parameters of a lithium ion capacitor, and construct a first lithium ion capacitor model according to the electrode configuration parameters and the basic configuration parameters.

[0090] In this embodiment, a 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, and size) are reversely decomposed to determine the value ranges of core design variables such as the type of positive and negative electrode materials, electrode thickness, load, area, number of electrode pairs, and N / P ratio. A parameter combination method (such as a parameter grid method, random sampling, or optimized sampling) is then used to generate multiple sets of candidate design solutions with differentiated structural configurations within the specified parameter space, thereby constructing multiple first lithium-ion capacitor models. The basic configuration parameters (such as electrolyte system, separator type, packaging structure, and electrode material type) corresponding to each first lithium-ion capacitor model are maintained consistent to ensure that the impact of the electrode structure design solution can be independently evaluated within the same basic platform; however, the electrode configuration parameters are different. The main differences between the first lithium-ion capacitor models are reflected in their electrode configuration parameters, including but not limited to the thickness, area, load, number of electrode pairs of the positive and negative electrodes, and the positive and negative electrode capacity ratio (N / P ratio). The differences in these electrode parameters directly determine the capacity matching degree, kinetic behavior, and electrochemical performance of each model.

[0091] The specific steps for obtaining the electrode configuration parameters of the lithium ion capacitor may include:

[0092] S1011: Obtain application requirement information of the lithium ion capacitor, and determine theoretical design indicators of the lithium ion capacitor based on the application requirement information;

[0093] S1012: Determine various electrode configuration parameters and basic configuration parameters of the lithium-ion capacitor based on theoretical design indicators.

[0094] In the implementation of S1011 to S1012, the application requirement information refers to the user's requirements for the energy storage characteristics of the lithium-ion capacitor to be designed under actual working conditions, and the theoretical design index refers to the key performance index that the lithium-ion capacitor must have under the premise of meeting specific application requirements. The theoretical design index can be set by the user based on factors such as the application environment, working mode, and electrical interface, and may include but is 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: The amount of charge or energy 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 requirements: The number of cycles that the device should be able to operate stably under set charge and discharge conditions; Maximum charge and discharge current or rate: Determines the requirements for the electrode kinetic response speed; Operating temperature range: Used to determine whether the material system used is suitable for harsh or high-temperature environments.

[0095] After the theoretical design indicators are determined, a parameter combination method can be used to generate a variety of pole piece configuration parameters and basic configuration parameters based on the theoretical design indicators.

[0096] S102: Screening a plurality of first lithium ion capacitor models according to the electrode capacity of the positive electrode sheet and the negative electrode sheet of the lithium ion capacitor to obtain a second lithium ion capacitor model.

[0097] In this embodiment, after obtaining multiple first lithium-ion capacitor models, the multiple preliminary design models generated in the first stage are screened for capacity matching, and first lithium-ion capacitor models with severely uneven capacity configuration or high potential imbalance risk are eliminated, thereby screening out second lithium-ion capacitor models with better performance in positive and negative electrode capacity coordination.

[0098] 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. Because the positive electrode (which can be made of activated carbon material) and the negative electrode (such as graphite or hard carbon) of the lithium-ion capacitor have significant differences in specific capacity, reaction mechanism, and voltage platform, if the two electrodes are not properly matched in structural design, the following problems will arise:

[0099] Undersized positive electrode capacity: The voltage limit may be reached prematurely during charging, causing premature shutdown of the entire lithium-ion capacitor and reduced capacity utilization. Undersized negative electrode capacity: Over-intercalation of lithium may occur at the end of charging, leading to safety hazards such as metallic lithium precipitation and gas generation. Unbalanced capacity: Voltage drift and polarization accumulation are likely to occur during long-term cycling, accelerating performance degradation.

[0100] Therefore, this step determines the second lithium ion capacitor model by calculating and comparing the matching relationship between the positive electrode plate capacity and the negative electrode plate capacity in multiple first lithium ion capacitor models. The specific steps may include:

[0101] S1021: Determine the electrode capacity of the positive electrode of the lithium ion capacitor as a first correction target, and determine the electrode capacity of the negative electrode of the lithium ion capacitor as a second correction target;

[0102] S1022: Screening the plurality of 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.

[0103] In the implementation of S1021 to S1022, the capacity of the positive electrode sheet and the capacity of the negative electrode sheet of the lithium ion capacitor are respectively used as different correction targets. The correction direction of the first correction target can be the maximum capacity of the positive electrode sheet, and the correction direction of the second target can be the maximum capacity of the negative electrode sheet. By taking the capacity of the positive and negative electrodes as optimization targets, maximization adjustments are made to both of them respectively, and then the matching results of the first correction target and the second correction target are used as the screening basis to screen multiple first lithium ion capacitor models to obtain a second lithium ion capacitor model. The specific steps may include:

[0104] S10221: Mapping the plurality of first lithium ion capacitor models to a first screening coordinate system to obtain a plurality of mapping points;

[0105] S10222: Determine a first screening direction based on the first correction target, and determine a second screening direction based on the second correction target, wherein the first screening direction is used to characterize a change trend of the positive electrode plate capacity adjustment, and the second screening direction is used to characterize a change trend of the negative electrode plate capacity adjustment;

[0106] S10223: Determine a target area in the first screening coordinate system according to the first screening direction and the second screening direction;

[0107] S10224: Filter the first lithium ion capacitor model corresponding to the mapping point in the target area in the first screening coordinate system as the second lithium ion capacitor model.

[0108] In the above embodiment, multiple preliminarily designed first lithium-ion capacitor models are first mapped into a screening coordinate system. The two axes of the screening coordinate system represent the change trends of the positive and negative electrode capacity adjustments, respectively. Each model corresponds to a mapping point in this coordinate system. The mapping objective is to locate each lithium-ion capacitor model in the coordinate system based on the correction results of its positive and negative electrode capacities, thereby obtaining multiple mapping points. This allows lithium-ion capacitor models with different design parameters to be intuitively represented, facilitating subsequent screening and optimization. Then, based on the first correction objective (maximizing positive electrode capacity) and the second correction objective (maximizing negative electrode capacity), two screening directions are determined within the screening coordinate system. Specifically, the first screening direction represents the change trend of the positive electrode plate capacity adjustment, that is, the direction of change in the positive electrode capacity during the design. By adjusting the positive electrode specific capacity, plate area, etc., the first screening direction describes the increase or decrease in positive electrode capacity. The second screening direction represents the change trend of the negative electrode plate capacity adjustment, characterizing the change in negative electrode capacity during the design. Negative electrode capacity adjustment can involve the selection of negative electrode materials, the structural design of the plate, etc., and the second screening direction is used to describe the increase or decrease in negative electrode capacity.

[0109] Based on the criteria set for the first and second screening directions, a target area needs to be determined in the screening coordinate system. The target area represents an optimal parameter range that meets the goal of maximizing the positive and negative electrode capacities while ensuring that the matching effect between the two is optimal. For example, the target area can be defined as an area with a small difference in positive and negative electrode capacity and a high energy utilization rate. By analyzing the aggregation of the mapping points, a rectangular area or other form of boundary can be drawn to represent the set of models that meet the design goals.

[0110] Finally, based on the previously determined target region, the first lithium-ion capacitor models corresponding to all mapped points within that region are selected. These models represent the design solutions that achieve the optimal capacity match under the target positive and negative electrode capacity adjustment. These selected models become the second lithium-ion capacitor models.

[0111] S103: Screening a plurality of second lithium ion capacitor models according to the electrode dynamic characteristics of the positive electrode sheet and the negative electrode sheet of the lithium ion capacitor to obtain a third lithium ion capacitor model.

[0112] In this embodiment, the electrode kinetic characteristics refer to the characteristics of the electrochemical reaction, ion transport, electron transport, etc. exhibited by the positive and negative electrode materials in the lithium ion capacitor or battery during the charge and discharge process. In this step, the second lithium ion capacitor model is further screened based on the kinetic characteristics of the positive and negative electrodes 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 screened out, and finally the third lithium ion capacitor model is obtained. This screening step is intended to ensure that the selected model can perform well in fast charge and discharge and high power density applications, thereby improving the performance and reliability of the overall equipment.

[0113] The specific steps may include:

[0114] S1031: Determine the dynamic characteristics of the positive electrode of the lithium ion capacitor as a third correction target, and determine the dynamic characteristics of the negative electrode of the lithium ion capacitor as a fourth correction target;

[0115] S1032: Screening a plurality of second lithium ion capacitor models according to the matching results of the third correction target and the fourth correction target to obtain a third lithium ion capacitor model.

[0116] In the embodiments of S1031 to S1032, the third correction target is the kinetic characteristics of the positive electrode plate, which may include but are not limited to electrical conductivity, lithium insertion and extraction rate, reaction impedance of the plate, etc., and the 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 the charge during the charging and discharging process, 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 rapid charging and discharging, so that it can better respond to changes in battery load. The fourth correction target is the kinetic characteristics of the negative electrode plate, including electrical conductivity, ion mobility, lithium insertion and extraction rate, and electrochemical reaction kinetics of the plate, similar to those of the positive electrode. The kinetic characteristics of the negative electrode have an important influence on the power density and overall charge and discharge efficiency of the lithium ion capacitor. Reasonable optimization of the kinetic characteristics of the negative electrode helps to improve the charging efficiency of the lithium ion capacitor, reduce reaction impedance, and extend the cycle life. By taking the kinetic characteristics of the positive and negative electrodes as the correction targets, it is possible to further optimize the rapid charging and discharging capabilities and power density of lithium-ion capacitors on the basis of capacity matching, ensure that the kinetic responses of the two electrodes are more coordinated, and avoid affecting the overall performance due to a delayed or too fast response of one electrode.

[0117] Taking into account the correction targets of the positive and negative electrode kinetic characteristics, the model with the best performance in this regard is screened out. The specific screening process may include the following steps: Kinetic characteristic evaluation: Analyze each second lithium ion capacitor model based on the kinetic characteristics of the positive and negative electrodes. For example, for the positive electrode, evaluate its charge transfer rate, ion diffusion rate and reaction impedance during the charge and discharge process; for the negative electrode, analyze its ion mobility, electrochemical reaction rate and other parameters. By comparing these characteristics, identify the lithium ion capacitor model that best meets the kinetic correction target. The specific steps may include:

[0118] S10321: Mapping the plurality of second lithium ion capacitor models to a second screening coordinate system to obtain a plurality of mapping points;

[0119] S10322: determining a third screening direction based on the third correction target, and determining a fourth screening direction based on the fourth correction target, wherein the third screening direction is used to characterize the changing trend of the adjustment of the kinetic characteristics of the positive electrode sheet, and the second screening direction is used to characterize the changing trend of the adjustment of the kinetic characteristics of the negative electrode sheet;

[0120] S10323: Determine a target area in the second screening coordinate system according to the third screening direction and the fourth screening direction;

[0121] S10324: Filter the second lithium ion capacitor model corresponding to the mapping point in the target area in the second screening coordinate system as a third lithium ion capacitor model.

[0122] In the above embodiment, in this step, multiple second lithium ion capacitor models will be mapped to the second screening coordinate system to form a number of mapping points. In the second screening coordinate system, the two axes will represent the kinetic characteristics of the positive and negative electrodes, respectively. Specifically, the X-axis: represents the kinetic characteristics of the positive electrode sheet, such as the conductivity of the positive electrode, the rate of lithium insertion and extraction, the reaction impedance, etc. The Y-axis: represents the kinetic characteristics of the negative electrode sheet, such as the conductivity of the negative electrode, the ion mobility, the rate of lithium insertion and extraction, and the reaction impedance, etc. Each second lithium ion capacitor model will occupy a specific position in the coordinate system according to its kinetic characteristics, reflecting its kinetic performance. Through these two directions, the optimization process of the positive and negative electrodes in terms of dynamic response can be quantified, thereby providing clear guidance for subsequent screening.

[0123] Combining the correction directions for the positive and negative electrodes, a target region is identified. This region is defined by the third and fourth screening directions in the second screening coordinate system. The target region represents the region where lithium-ion capacitor models with superior positive and negative electrode kinetic characteristics reside. These models exhibit better dynamic response, enabling more efficient charging and discharging processes and achieving improved power output performance.

[0124] As an example, the third screening direction can be represented by a planning line, which represents the direction of optimization of the positive electrode material, such as the gradual improvement of the positive electrode conductivity and the ion migration rate. Similarly, the fourth screening direction can be represented by another planning line, which represents the optimization direction of the negative electrode material, such as the improvement of the negative electrode conductivity and the lithium insertion and 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 interweaving of these two planning lines, representing the area where the positive and negative electrode kinetic characteristics are well optimized. Next, all the second lithium ion capacitor models to be screened are mapped to this coordinate system, and those lithium ion capacitor models located in the target area are screened out according to the kinetic characteristic positions of their positive and negative electrodes. These models perform best in kinetic performance and have ideal charge and discharge response and power output capabilities. In this way, the third lithium ion capacitor model that meets the requirements can be effectively screened out.

[0125] S104: Evaluate the energy storage characteristics of the plurality of third lithium ion capacitor models according to a preset energy storage characteristic evaluation rule, and determine target electrode configuration parameters of the lithium ion capacitor according to the evaluation results.

[0126] In this embodiment, the energy storage characteristic evaluation rules are standards set based on actual application requirements (such as power density, energy density, cycle life, self-discharge rate, etc.). The energy storage characteristic evaluation rules can include various types of energy storage characteristic evaluation rules, and the evaluation rules can include but are not limited to the following aspects:

[0127] Energy density: Evaluates the energy stored per unit volume or unit mass of each model, measuring its energy storage capacity in practical applications.

[0128] Power density: Evaluates the amount of power a lithium-ion capacitor can deliver in a short period of time to ensure adequate responsiveness in applications with high power demands.

[0129] Cycle life: Evaluates the ability of lithium-ion capacitors to maintain good performance after multiple charge and discharge cycles, thereby extending their service life.

[0130] Self-discharge rate: Evaluates the energy loss of lithium-ion capacitors when not in use. A lower self-discharge rate can ensure that lithium-ion capacitors can still maintain a high energy reserve after long periods of non-use.

[0131] Next, the energy storage characteristics of multiple third lithium-ion capacitor models are evaluated through the energy storage characteristic evaluation rules to screen out the lithium-ion capacitor model with the best performance. Finally, based on the evaluation results, the target electrode configuration parameters of each lithium-ion capacitor model are determined. These parameters include the material selection, thickness, specific surface area, etc. of the positive and negative electrode plates. These configurations determine the energy storage characteristics and overall performance of the lithium-ion capacitor. The model with the best performance in 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:

[0132] S1041: Obtain a voltage-current response waveform of a third lithium ion capacitor model, and determine a corresponding energy storage characteristic link response according to the voltage-current response waveform;

[0133] S1042: Evaluate the energy storage characteristic link response according to a preset energy storage characteristic evaluation rule.

[0134] In the implementation of S1041 to S1042, it is first necessary to perform an electrical simulation test on the third lithium ion capacitor model to obtain real-time response data of the voltage and current of the lithium ion capacitor during the charging and discharging process. These data are obtained by applying different charging and discharging currents and observing the voltage changes. The voltage-current response waveform is a graph showing the change in voltage over time during the charging and discharging process 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, discharge rate, energy efficiency, and power output capacity of the lithium ion capacitor. Next, the voltage-current response waveform is converted into an energy storage characteristic link response. In order to efficiently extract the energy storage characteristic link response from the voltage-current waveform, the voltage-current response waveform can be converted into a data format suitable for analysis by using digital signal processing technology, and then the converted code type is sampled and convolved 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. Compared with direct evaluation based on waveform data, this method can significantly reduce the amount of data processing, making the evaluation process more efficient. At the same time, it avoids the computational burden that may arise when processing complex waveform data, thereby improving the speed and accuracy of the evaluation.

[0135] In a feasible implementation, the energy storage characteristic link response is evaluated according to a preset energy storage characteristic evaluation rule, and the target electrode configuration parameters of the lithium ion capacitor are determined according to the evaluation result, including:

[0136] Obtaining an evaluation score of the energy storage characteristic link response under the energy storage characteristic evaluation rule of each evaluation type;

[0137] Determine the comprehensive energy storage characteristic score of the energy storage characteristic link response based on the evaluation score and the corresponding weight coefficient;

[0138] The target electrode configuration parameters of the lithium-ion capacitor are determined based on the comprehensive energy storage characteristic score of the energy storage characteristic link response.

[0139] In this embodiment, first, the evaluation score of the energy storage characteristic link response under each evaluation type is obtained. These evaluation types include energy density, power density, charge and discharge efficiency, cycle life, self-discharge rate, etc., which are key energy storage characteristics of lithium-ion capacitors. During the evaluation process, the energy storage characteristic link response will be evaluated according to the standards of each evaluation type to generate a corresponding evaluation score. 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 the 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.

[0140] Then, based on the evaluation scores and the corresponding weight coefficients, the comprehensive energy storage characteristic score of the energy storage characteristic link response is determined. In this step, each evaluation score will be multiplied by a weight coefficient according to its importance. The weight coefficient can be determined by the preset design requirements or application scenarios. For example, if energy density is more important than power density in a specific application, the weight coefficient of energy density will be higher. By weighted summing up all the evaluation scores, 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.

[0141] Finally, the target electrode configuration parameters for the lithium-ion capacitor are determined based on the comprehensive energy storage characteristic score of the energy storage characteristic link response. Models with high comprehensive energy storage characteristic scores demonstrate better overall performance and are therefore selected as the target model. At this point, the lithium-ion capacitor's electrode configuration parameters (such as positive and negative electrode capacitance, material selection, and electrode thickness) are determined based on the characteristics of this model. These target electrode configuration parameters provide a basis for actual manufacturing and optimized design, ensuring that the lithium-ion capacitor meets the preset energy storage characteristic requirements in actual applications.

[0142] 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 based on its comprehensive score, thereby optimizing the design of the lithium-ion capacitor to meet the needs of different application scenarios.

[0143] This application effectively addresses several key issues in the performance optimization process of lithium-ion capacitors through a systematic multi-stage screening and evaluation process. First, by obtaining the electrode configuration parameters of the lithium-ion capacitor and building a preliminary model, multiple options can be provided for different design goals. Screening multiple preliminary models based on the capacity of the positive and negative electrode plates helps to quickly eliminate design solutions that do not meet the capacity requirements, ensuring that the capacitor can achieve the expected energy storage capacity in a specific application scenario. Next, 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 responsiveness of the capacitor in actual use meet the expected requirements. Finally, combined with preset energy storage characteristic evaluation rules, the energy storage characteristics of multiple screened models are evaluated, and the target electrode configuration parameters of the capacitor can be accurately determined based on the evaluation results. This process not only improves the accuracy and targeting of capacitor design, but also enables flexible adjustment of the electrode configuration to optimize the energy storage characteristics of the capacitor according to different application requirements, balancing energy density, power density and cycle life.

[0144] In the second aspect, based on the same inventive concept, Figure 2 , shows a lithium ion capacitor design system 200 based on energy storage characteristics provided by an embodiment of the present application, the system comprising:

[0145] An acquisition module 201 acquires electrode configuration parameters and basic configuration parameters of a lithium-ion capacitor, and constructs a plurality of first lithium-ion capacitor models based on the electrode configuration parameters and the basic configuration parameters, each first lithium-ion capacitor model corresponding to a electrode configuration parameter;

[0146] A first screening module 202 is configured to screen a plurality of first lithium ion capacitor models according to the electrode capacity of the positive electrode sheet and the negative electrode sheet of the lithium ion capacitor to obtain a second lithium ion capacitor model;

[0147] A second screening module 203 is configured to screen a plurality of second lithium ion capacitor models according to the dynamic characteristics of the positive electrode sheet and the negative electrode sheet of the lithium ion capacitor to obtain a third lithium ion capacitor model;

[0148] The evaluation module 204 is configured to evaluate the energy storage characteristics of the plurality of third lithium ion capacitor models according to a preset energy storage characteristic evaluation rule, and determine target electrode configuration parameters of the lithium ion capacitor according to the evaluation results.

[0149] In a possible implementation of the second aspect, the testing module and the acquiring module include:

[0150] A first acquisition submodule is used to obtain application requirement information of the lithium ion capacitor and determine theoretical design indicators of the lithium ion capacitor according to the application requirement information;

[0151] The parameter determination submodule is used to determine various electrode configuration parameters and basic configuration parameters of the lithium-ion capacitor based on theoretical design indicators.

[0152] In a possible implementation of the second aspect, the first screening module includes:

[0153] A correction target to be determined submodule is used to determine the electrode capacity of the positive electrode of the lithium ion capacitor as a first correction target, and to determine the electrode capacity of the negative electrode of the lithium ion capacitor as a second correction target;

[0154] The first screening submodule is configured to screen the plurality of 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.

[0155] In a possible implementation of the second aspect, the first screening submodule includes:

[0156] A mapping unit, configured to map the plurality of first lithium ion capacitor models to a first screening coordinate system to obtain a plurality of mapping points;

[0157] a direction determination unit, configured to determine a first screening direction according to a first correction target, and to determine a second screening direction according to a second correction target, wherein the first screening direction is used to characterize a change trend of the positive electrode plate capacity adjustment, and the second screening direction is used to characterize a change trend of the negative electrode plate capacity adjustment;

[0158] a determining unit, configured to determine a target area in a first screening coordinate system according to the first screening direction and the second screening direction;

[0159] The screening unit is configured to screen the first lithium ion capacitor model corresponding to the mapping point in the target area in the first screening coordinate system as the second lithium ion capacitor model.

[0160] In a possible implementation of the second aspect, the second screening module includes:

[0161] A correction target to be determined submodule is used to determine the dynamic characteristics of the positive electrode plate of the lithium ion capacitor as the third correction target, and to determine the dynamic characteristics of the negative electrode plate of the lithium ion capacitor as the fourth correction target;

[0162] The second screening submodule is configured to screen the plurality of second lithium ion capacitor models according to the matching results of the third correction target and the fourth correction target to obtain a third lithium ion capacitor model.

[0163] In a possible implementation of the second aspect, the second screening submodule includes:

[0164] A mapping unit, configured to map the plurality of second lithium ion capacitor models to a second screening coordinate system to obtain a plurality of mapping points;

[0165] a direction determination unit, configured to determine a third screening direction according to a third correction target, and to determine a fourth screening direction according to a fourth correction target, wherein the third screening direction is used to characterize a trend of change in the adjustment of the kinetic characteristics of the positive electrode sheet, and the second screening direction is used to characterize a trend of change in the adjustment of the kinetic characteristics of the negative electrode sheet;

[0166] a determining unit, configured to determine a target area in the second screening coordinate system according to the third screening direction and the fourth screening direction;

[0167] The screening unit is configured to screen the second lithium ion capacitor model corresponding to the mapping point in the target area in the second screening coordinate system as a third lithium ion capacitor model.

[0168] In a possible implementation of the second aspect, the evaluation module includes:

[0169] a data processing submodule, configured to obtain a voltage-current response waveform of the third lithium-ion capacitor model and determine a corresponding energy storage characteristic link response based on the voltage-current response waveform;

[0170] The evaluation submodule is used to evaluate the energy storage characteristic link response according to the preset energy storage characteristic evaluation rules.

[0171] In a possible implementation of the second aspect, the evaluation submodule includes:

[0172] A first evaluation score determination unit is configured to obtain an evaluation score of the energy storage characteristic link response under the energy storage characteristic evaluation rule of each evaluation type;

[0173] A second evaluation score determination unit is used 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;

[0174] The parameter determination unit is used to 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.

[0175] It should be noted that the specific implementation of the lithium ion capacitor design system 200 based on energy storage characteristics in the embodiment of the present application refers to the specific implementation of the lithium ion capacitor design method based on energy storage characteristics proposed in the first aspect of the aforementioned embodiment of the present application, and will not be repeated here.

[0176] 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 processors are coupled. The memory is configured to store computer program code, which includes computer instructions. When the processors execute the computer instructions, the electronic device may perform the functions or steps described in the method embodiments described above.

[0177] This embodiment further provides a computer-readable storage medium, in which computer instructions are stored. When the computer instructions are executed on an electronic device, the electronic device executes each function or step in the above method embodiment.

[0178] This embodiment further provides a computer program product. When the computer program product is run on a computer, it enables the computer to execute each function or step in the above method embodiment.

[0179] 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 that can be achieved can refer to the beneficial effects in the corresponding methods provided above, and will not be repeated here.

[0180] The above embodiments can be implemented in whole or in part via software, hardware (e.g., circuits), firmware, or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. A computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions according to the embodiments of the present application are fully or partially generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable system. The computer program or instructions can be stored in a computer-readable storage medium or transferred from one computer-readable storage medium to another. For example, the computer program or instructions can be transferred from one website, computer, server, or data center to another website, computer, server, or data center via wired means (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer, or a data storage device such as a server or data center that contains a collection of one or more available media. Available media can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., DVDs), or semiconductor media. The semiconductor media can be a solid-state drive.

[0181] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0182] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0183] Those skilled in the art will 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 aforementioned method embodiments and will not be repeated here.

[0184] In the several embodiments provided in this 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, such as 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 mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the system or unit can be electrical, mechanical or other forms.

[0185] Units described as separate components may or may not be physically separate, and components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0186] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0187] If the functions are implemented in the form of software function units and sold or used as independent products, they can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application essentially or the parts of the prior art that make contributions or parts of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a plurality of 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 embodiments of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and various media that can store program codes.

[0188] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art can easily think of changes or replacements within the technical scope disclosed in the present application, which should be covered within 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. A lithium ion capacitor design method based on energy storage characteristics, characterized in that: The method comprises: Obtain the electrode configuration parameters and basic configuration parameters of lithium-ion capacitors, including: Acquiring application requirement information of the lithium ion capacitor, and determining theoretical design indicators of the lithium ion capacitor according to the application requirement information; Determining various electrode configuration parameters and basic configuration parameters of the lithium ion capacitor according to the theoretical design indicators; Constructing a plurality of first lithium ion capacitor models according to the electrode configuration parameters and the basic configuration parameters, each of the first lithium ion capacitor models corresponds to a electrode configuration parameter; The plurality of first lithium ion capacitor models are screened according to the electrode capacity of the positive electrode sheet and the negative electrode sheet 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 a first correction target, and determine the electrode capacity of the negative electrode of the lithium ion capacitor as a second correction target; Screening a plurality of first lithium ion capacitor models according to a matching result between the first correction target and the second correction target to obtain the second lithium ion capacitor model includes: Mapping the plurality of first lithium ion capacitor models to a first screening coordinate system to obtain a plurality of 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, wherein the first screening direction is used to characterize the change trend of the positive electrode plate capacity adjustment, and the second screening direction is used to characterize the change trend of the negative electrode plate capacity adjustment; determining a target area in the first screening coordinate system according to the first screening direction and the second screening direction; screening the first lithium ion capacitor model corresponding to the mapping point in the target area in the first screening coordinate system as the second lithium ion capacitor model; According to the electrode dynamic characteristics of the positive electrode sheet and the negative electrode sheet of the lithium ion capacitor, a plurality of second lithium ion capacitor models are screened to obtain a third lithium ion capacitor model, including: Determining the dynamic characteristics of the positive electrode plate of the lithium ion capacitor as a third correction target, and determining the dynamic characteristics of the negative electrode plate of the lithium ion capacitor as a fourth correction target; Screening a plurality of second lithium ion capacitor models according to a matching result between the third correction target and the fourth correction target to obtain the third lithium ion capacitor model includes: Mapping the plurality of second lithium ion capacitor models to a second screening coordinate system to obtain a plurality of 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, wherein the third screening direction is used to characterize the changing trend of the adjustment of the dynamic characteristics of the positive electrode sheet, and the second screening direction is used to characterize the changing trend of the adjustment of the dynamic characteristics of the negative electrode sheet; determining a target area in the second screening coordinate system according to the third screening direction and the fourth screening direction; screening 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; The energy storage characteristics of the plurality of third lithium ion capacitor models are evaluated according to a preset energy storage characteristic evaluation rule, and the target electrode configuration parameters of the lithium ion capacitor are determined according to the evaluation results.

2. The lithium ion capacitor design method based on energy storage characteristics according to claim 1, characterized in that: The step of evaluating the energy storage characteristics of the plurality of third lithium ion capacitor models according to a preset energy storage characteristic evaluation rule includes: Obtaining a voltage-current response waveform of the third lithium ion capacitor model, and determining a corresponding energy storage characteristic link response according to the voltage-current response waveform; The energy storage characteristic link response is evaluated according to a preset energy storage characteristic evaluation rule.

3. The lithium ion capacitor design method based on energy storage characteristics according to claim 1, characterized in that: The energy storage characteristic evaluation rules include multiple different types of energy storage characteristic evaluation rules. The energy storage characteristic link response is evaluated according to the preset energy storage characteristic evaluation rules, and the target electrode configuration parameters of the lithium ion capacitor are determined according to the evaluation results, including: Obtaining an evaluation score of the energy storage characteristic link response under an energy storage characteristic evaluation rule of each evaluation type; Determining a comprehensive energy storage characteristic score of the energy storage characteristic link response according to the evaluation score and the corresponding weight coefficient; Target electrode configuration parameters of the lithium-ion capacitor are determined based on the comprehensive energy storage characteristic score of the energy storage characteristic link response.

4. A lithium ion capacitor design system based on energy storage characteristics, characterized in that: A lithium ion capacitor design method based on energy storage characteristics according to any one of claims 1 to 3 is implemented, wherein the system comprises: an acquisition module, configured to acquire electrode configuration parameters and basic configuration parameters of the lithium-ion capacitor, and construct a plurality of first lithium-ion capacitor models according to the electrode configuration parameters and the basic configuration parameters, each of the first lithium-ion capacitor models corresponding to one electrode configuration parameter; a first screening module, configured to screen the plurality of first lithium ion capacitor models according to the electrode capacity 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 the plurality of second lithium ion capacitor models according to the electrode dynamic 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 is used to evaluate the energy storage characteristics of the plurality of third lithium ion capacitor models according to a preset energy storage characteristic evaluation rule, and determine target electrode configuration parameters of the lithium ion capacitor according to the evaluation results.

5. The system according to claim 4, characterized in that The acquisition module includes: a first acquisition submodule, configured to acquire application requirement information of the lithium ion capacitor and determine a theoretical design index of the lithium ion capacitor according to the application requirement information; The parameter determination submodule is used to determine various electrode configuration parameters and basic configuration parameters of the lithium ion capacitor according to the theoretical design indicators.

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