A method for acquiring credible total capacity and credible total output of a hybrid energy storage system

Abstract

The application discloses a kind of mixed energy storage system's reliable total capacity and reliable total output acquisition method of energy storage system technical field field, to solve the technical problem that the reliable total capacity and reliable total output of mixed energy storage system are difficult to accurately measure and calculate.It includes: obtaining the rated capacity, rated power, response time, charge-discharge efficiency and self-discharge rate of each energy storage type in the mixed energy storage system, according to the different time scales and energy storage types set, calculate time scale attenuation factor.Based on the attenuation factor and rated capacity, calculate the reliable capacity of single type energy storage under different time scales, and calculate the reliable maximum output under different time scales in combination with rated power.Summarize the reliable capacity and output of different energy storage types to obtain the reliable total capacity and total output of the system under the corresponding time scale.Further, introduce confidence level to realize the evaluation under different confidence levels.

Description

Technical Field

[0001] This invention relates to a method for obtaining the reliable total capacity and reliable total output of a hybrid energy storage system, belonging to the field of energy storage system technology. Background Technology

[0002] With the high proportion of renewable energy being integrated and the development of smart grids, energy storage systems are becoming increasingly important as key equipment for smoothing fluctuations and providing auxiliary services such as peak shaving, frequency regulation, and backup.

[0003] Different energy storage types, such as lithium batteries, supercapacitors, flywheels, vanadium redox flow batteries, gravity energy storage, compressed air energy storage, and molten salt energy storage, possess different characteristics, such as high power density, high energy density, long cycle life, and fast response. However, existing energy storage technologies are optimized for a single type and often struggle to meet the comprehensive demands for power, energy, response speed, and economy in complex scenarios.

[0004] In other words, existing energy storage technologies cannot meet the requirements for obtaining reliable total capacity and reliable total output when regulating and designing hybrid energy storage systems composed of different energy storage types. Summary of the Invention

[0005] The purpose of this application is to overcome the shortcomings of the prior art and provide a method for obtaining reliable total capacity and reliable total output for hybrid energy storage systems with high reliability.

[0006] To achieve the above objectives, this application employs the following technical solution:

[0007] Firstly, this application provides a method for obtaining the reliable total capacity and reliable total output of a hybrid energy storage system, including,

[0008] Obtain the rated capacity, rated power, response time, charge / discharge efficiency, and self-discharge rate for each energy storage type in the hybrid energy storage system; obtain various set time scales;

[0009] Based on the response time, the charge / discharge efficiency, and the self-discharge rate, the time-scale decay factor of each energy storage type is obtained at different time scales.

[0010] The reliable capacity of each energy storage type at different time scales is obtained based on the time scale decay factor and the rated capacity.

[0011] Based on the reliable capacity of all energy storage types at each time scale, the reliable total output and reliable total capacity of the hybrid energy storage system at each time scale are obtained.

[0012] In some embodiments of the first aspect of this application, the time-scale decay factor is calculated using the following formula:

[0013] ,

[0014] In the formula, This is the serial number for the energy storage type. This is the serial number on the time scale. For the first Types of energy storage in the first Time-scale decay factor at various time scales For the response speed effect function, Let be the function affecting charge and discharge efficiency. Let be the self-discharge effect function. For the first The response time of various energy storage types For the first Duration of various time scales For the first The charging and discharging efficiency of various energy storage types For the first The self-discharge rate of various energy storage types.

[0015] In some embodiments of the first aspect of this application,

[0016] In response to the energy storage type being an electrochemical battery and / or mechanical energy storage, the time-scale decay factor is calculated using the following formula:

[0017] ,

[0018] In the formula, This is the serial number for the energy storage type. This is the serial number on the time scale. For the first Types of energy storage in the first Time-scale decay factor at various time scales For the response speed effect function, Let be the function affecting charge and discharge efficiency. Let be the self-discharge effect function. For the first The response time of various energy storage types For the first Duration of various time scales For the first The charging and discharging efficiency of various energy storage types For the first The self-discharge rate of this type of energy storage Represents an exponential function;

[0019] In response to the energy storage type being an electrochemical battery, the time-scale decay factor is calculated using the following formula:

[0020] ,

[0021] In the formula, Let be the temperature effect function. The operating or storage environment temperature. The function representing the effect of irreversible capacity decay. For extreme temperature exposure time, This refers to the number of charge-discharge cycles. To perform the maximum value operation, and These are the low-temperature recovery coefficient and the high-temperature recovery coefficient, respectively. It is the acceleration due to gravity. and These are the low-temperature critical temperature and the high-temperature critical temperature, respectively. and These are the lower limit of the suitable temperature for low temperatures and the lower limit of the suitable temperature for high temperatures, respectively. To characterize the rate of decay, The parameter describes the degree of nonlinearity in attenuation, where e is the natural constant. and These are the lower limit boundary value and the upper limit boundary value of the attenuation factor temperature, respectively. This refers to the cumulative operating time of the energy storage from the time it left the factory until the current time. This represents the theoretical maximum number of charge-discharge cycles for an energy storage battery.

[0022] In response to the energy storage type being an electrochemical battery, the time-scale decay factor is calculated using the following formula:

[0023] ,

[0024] In the formula, The time-scale decay factor corresponding to the energy storage type is a non-electrochemical battery. The function representing the impact of cycle life loss. For the first Types of energy storage in the first Average cycle depth over various time scales For the first Cycle depth correction index for various energy storage types For the first Cycle life of various energy storage types It is the first The rated capacity of various energy storage types It is the first Rated power of various energy storage types This represents the maximum theoretical number of iterations.

[0025] In some embodiments of the first aspect of this application, the total trusted capacity is obtained by the following formula:

[0026] ,

[0027] In the formula, For hybrid energy storage systems in the first Total credible capacity across various time scales For the first Types of energy storage in the first Trust capacity at various time scales This represents the number of energy storage types.

[0028] In some embodiments of the first aspect of this application, the trusted total output is obtained by the following formula:

[0029] ,

[0030] In the formula, For hybrid energy storage systems in the first Credible total output over various time scales For the first Types of energy storage in the first credible maximum output over various time scales This is an operation to find the minimum value.

[0031] In some embodiments of the first aspect of this application, the time-scale decay factor is modeled with a probability distribution;

[0032] The probability distribution modeling yields the following result for the hybrid energy storage system in the first... The system calculates a first probability of reaching the trusted maximum output and the trusted total capacity at a given time scale, and outputs the trusted total output and the trusted total capacity in response to the first probability reaching a set threshold. The first probability is obtained by calculating the following formula:

[0033] ,

[0034] In the formula, For shape parameters, For scale parameters, This is a gamma function.

[0035] In some embodiments of the first aspect of this application, the value of the response speed influence function is obtained by calculating the following formula:

[0036] .

[0037] Secondly, this application also provides a computer device, including a processor and a memory connected to the processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, it performs the steps of the method for obtaining the trusted total capacity and trusted total output of a hybrid energy storage system as described in any embodiment of the first aspect.

[0038] Secondly, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method for obtaining the trusted total capacity and trusted total output of the hybrid energy storage system as described in any embodiment of the first aspect.

[0039] Thirdly, this application also provides a computer program product, including a computer program / instructions, which, when executed by a processor, implement the steps of the method for obtaining the trusted total capacity and trusted total output of the hybrid energy storage system as described in any embodiment of the first aspect.

[0040] Compared with the prior art, the beneficial effects achieved by this application are as follows:

[0041] The method for obtaining the credible total capacity and credible total output of the hybrid energy storage system provided in this application takes into account the differences in energy storage / discharge characteristics of different energy storage types at different time scales. It introduces a time scale decay factor to show the physical relationship between different time scales and the rated capacity, rated power, response time, charge and discharge efficiency, and self-discharge rate of each energy storage type. The credible total capacity and credible total output obtained thus integrate the differences of different energy storage types at the time scale. These differences are taken into account when making calculations, and the calculation results are accurate and highly reliable. Attached Figure Description

[0042] To more clearly illustrate the technical solutions in this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0043] Figure 1 This is a flowchart of the steps for obtaining the trusted total capacity and trusted total output of a hybrid energy storage system provided in the embodiments of this application;

[0044] Figure 2 This is a schematic block diagram of the computer device provided in the embodiments of this application. Detailed Implementation

[0045] The technical solution of the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the embodiments and specific features in the embodiments are detailed descriptions of the technical solution of the present application, rather than limitations thereof. In the absence of conflict, the embodiments and technical features in the embodiments can be combined with each other.

[0046] In this article, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this article generally indicates that the preceding and following related objects have an "or" relationship.

[0047] Example 1:

[0048] Figure 1 This is a flowchart illustrating a method for obtaining the reliable total capacity and reliable total output of a hybrid energy storage system according to Embodiment 1 of the present invention. This flowchart merely shows the logical sequence of the method described in this embodiment. Provided there are no conflicts, different methods may be used in other possible embodiments of the present invention. Figure 1 Complete the steps shown or described in the order indicated.

[0049] The method for obtaining the reliable total capacity and reliable total output of a hybrid energy storage system provided in this embodiment can be applied to terminals. See also... Figure 1 The method implemented in this way specifically includes the following steps:

[0050] Obtain the rated capacity, rated power, response time, charge / discharge efficiency, and self-discharge rate for each energy storage type in the hybrid energy storage system; obtain various set time scales;

[0051] Based on the response time, the charge / discharge efficiency, and the self-discharge rate, the time-scale decay factor of each energy storage type is obtained at different time scales.

[0052] The reliable capacity of each energy storage type at different time scales is obtained based on the time scale decay factor and the rated capacity.

[0053] Based on the reliable capacity of all energy storage types at each time scale, the reliable total output and reliable total capacity of the hybrid energy storage system at each time scale are obtained.

[0054] The method for obtaining the credible total capacity and credible total output of the hybrid energy storage system provided in this application takes into account the differences in energy storage / discharge characteristics of different energy storage types at different time scales. It introduces a time scale decay factor to show the relationship between different time scales and the rated capacity, rated power, response time, charge and discharge efficiency, and self-discharge rate of each energy storage type. The credible total capacity and credible total output obtained thus integrate the differences of different energy storage types at the time scale, and the calculation results are accurate and highly reliable.

[0055] Example 2:

[0056] This embodiment provides a method for obtaining the reliable total capacity and reliable total output of a hybrid energy storage system. This embodiment is an optimization based on Embodiment 1 to improve the technical effect and refine the technical solution. For details not described in this embodiment, please refer to Embodiment 1.

[0057] The rated capacity, rated power, response time, charge / discharge efficiency, and self-discharge rate of each energy storage type in the hybrid energy storage system can be calculated. The N energy storage types included in the hybrid energy storage system, where N≥2, can be predetermined. M discrete evaluation timescales can be pre-set. ,in Let j represent the j-th time scale, where j = 1, 2, ..., M. And determine each time scale. Corresponding duration

[0058] As one embodiment, the time-scale decay factor is calculated using the following formula:

[0059] ,

[0060] In the formula, This is the serial number for the energy storage type. This is the serial number on the time scale. For the first Types of energy storage in the first Time-scale decay factor at various time scales For the response speed effect function, Let be the function affecting charge and discharge efficiency. Let be the self-discharge effect function. For the first The response time of various energy storage types For the first Duration of various time scales For the first The charging and discharging efficiency of various energy storage types For the first The self-discharge rate of various energy storage types.

[0061] The time-scale decay factor obtained through this formula integrates the effects of charging and discharging efficiency, self-discharge, and the response time of the energy storage type, and combines factors from different time scales, thus enabling corresponding numerical and trend factor changes for each time scale. The reliable total output and reliable total capacity calculated based on the time-scale decay factor obtained through this formula also match the actual total output and actual total capacity of the hybrid energy storage system at each time scale.

[0062] As one embodiment, in response to the energy storage type being an electrochemical battery and / or mechanical energy storage, the time-scale decay factor is calculated using the following formula:

[0063] ,

[0064] In the formula, This is the serial number for the energy storage type. This is the serial number on the time scale. For the first Types of energy storage in the first Time-scale decay factor at various time scales Let be the response speed influence function, characterizing the th Response time of various energy storage types Relative to time scale duration The degree of compatibility, Let be the function affecting charge and discharge efficiency. Characterization on time scale Internal charge and discharge efficiency Impact on capacity Let be the self-discharge effect function. Characterization on time scale Internal self-discharge rate Regarding the impact on capacity, the higher the self-discharge rate and the longer the time, the smaller the remaining capacity ratio and the smaller the decay factor, which ranges from [0, 1]. For the first The response time of various energy storage types For the first Duration of various time scales, units and The time units are consistent. For the first The charging and discharging efficiency of various energy storage types For the first The self-discharge rate of this type of energy storage is expressed in units of 1% per unit of time, such as... or This represents the proportion of capacity lost due to self-discharge per unit time. Represents an exponential function. For the process The percentage of remaining capacity;

[0065] In response to the energy storage type being an electrochemical battery, the time-scale decay factor is calculated using the following formula:

[0066] ,

[0067] In the formula, Let be the temperature effect function, representing the ratio of the reliable capacity to the rated capacity of the energy storage system at ambient temperature T (unit: °C), with a value range of [0,1]. The operating or storage environment temperature. The function representing the effect of irreversible capacity decay. For extreme temperature exposure time, This refers to the number of charge-discharge cycles. To perform the maximum value operation, and These are the low-temperature recovery coefficient and the high-temperature recovery coefficient, respectively. It is the acceleration due to gravity. and These are the low-temperature critical temperature and the high-temperature critical temperature, respectively. and These are the lower limit of the suitable temperature for low temperatures and the lower limit of the suitable temperature for high temperatures, respectively. To characterize the rate of decay, The parameter describes the degree of nonlinearity in attenuation, where e is the natural constant. and These are the lower limit boundary value and the upper limit boundary value of the attenuation factor temperature, respectively. This refers to the cumulative operating time of the energy storage from the time it left the factory until the current time. This represents the theoretical maximum number of charge-discharge cycles for an energy storage battery.

[0068] Below this temperature, the reliable capacity returns to zero.

[0069] Once this temperature is reached, the reliable capacity will return to its rated value.

[0070] The reliable capacity begins to decay after exceeding this temperature.

[0071] Above this temperature, the reliable capacity returns to zero.

[0072] : Reflects the recovery rate of reliable capacity in the low-temperature range;

[0073] : Reflects the rate of decay of reliable capacity in the high-temperature range;

[0074] t: The time of irreversible capacity decay caused by long-term high / low temperature exposure, in hours (h) or days (d), is the key factor that causes irreversible decay;

[0075] N: The number of charge-discharge cycles experienced by the energy storage battery, in times. Mechanical and chemical stresses during the cycle process accelerate irreversible degradation.

[0076] The irreversible capacity decay function of energy storage describes the gradual decrease in usable capacity of an energy storage battery over time, cycle count, or temperature due to irreversible processes such as electrode material structure damage, loss of active materials, and side reactions (e.g., electrolyte decomposition, lithium dendrite growth) under conditions such as long-term cycling, high / low temperature exposure, and storage. The characteristics of the irreversible capacity decay function of energy storage are as follows:

[0077]

[0078] In response to the energy storage type being an electrochemical battery, the time-scale decay factor is calculated using the following formula:

[0079] ,

[0080] In the formula, The time-scale decay factor corresponding to the energy storage type is a non-electrochemical battery. The function representing the impact of cycle life loss. For the first Types of energy storage in the first Average cycle depth over various time scales For the first Cycle depth correction index for various energy storage types For the first Cycle life of various energy storage types It is the first The rated capacity of various energy storage types It is the first Rated power of various energy storage types The third approach aims to convert the time-scale decay factor calculated using formulas for non-electrochemical cells into one that includes the time-scale decay factor of the electrochemical cell, representing the maximum theoretical number of cycles. The calculations also further consider the cycle life of energy storage type i. The impact on capacity at different time scales, at this time, This is another possible function of the time-scale decay factor; This means that for energy storage type (i) at the rated cycle depth Cycle lifetime at 100% DOD (i.e., 100% cycle depth); This refers to the charge / discharge rate, measured in 1 / h. Meaning the average cycle depth DOD at time scale j, 0 ≤ ≤100%; This refers to the cycle depth correction index for energy storage type i. The smaller the average cycle depth, the longer the cycle life; the larger the average cycle depth, the shorter the cycle life.

[0081] As one embodiment, the total trusted capacity is obtained by the following formula:

[0082] ,

[0083] In the formula, For hybrid energy storage systems in the first Total credible capacity across various time scales For the first Types of energy storage in the first Trust capacity at various time scales This represents the number of energy storage types.

[0084] As one embodiment, the reliable total output is obtained by the following formula:

[0085] ,

[0086] In the formula, For hybrid energy storage systems in the first Credible total output over various time scales For the first Types of energy storage in the first credible maximum output over various time scales This is an operation to find the minimum value.

[0087] As one embodiment, it further includes: performing probability distribution modeling on the time-scale decay factor;

[0088] Introducing confidence levels From the probability distribution modeling, the hybrid energy storage system is derived in the first... The probability of reaching the trusted maximum output and the trusted total capacity at a given time scale is calculated, and the trusted maximum output is output in response to the probability reaching a set threshold. and the probability of the total credible capacity Specifically, a probability distribution model is performed on the time-scale decay factor;

[0089] The probability distribution modeling yields the following result for the hybrid energy storage system in the first... The system calculates a first probability of reaching the trusted maximum output and the trusted total capacity at a given time scale, and outputs the trusted total output and the trusted total capacity in response to the first probability reaching a set threshold. The first probability is obtained by calculating the following formula:

[0090] ,

[0091] In the formula, For shape parameters, For scale parameters, This is a gamma function.

[0092] As one embodiment, the response speed influence function after substituting parameters. When taking a value, the following condition must be met: Much larger hour, Approaching 1, when Close to or less than hour, The value decreases. As one embodiment, Using exponential function form: .

[0093] Physically speaking, Γ(·) is the gamma function, obtained through... , The parameters can predict the decay probability at different confidence levels, and the gamma function provides a normalization constant to ensure that the integral of the probability density function is equal to 1. The larger the value, the greater the attenuation factor. The more concentrated the probability distribution, the more stable the performance degradation pattern of the energy storage system. Power storage technologies such as supercapacitors and flywheels are characterized by fast response speed, low self-discharge rate, and stable degradation characteristics. The values ​​are usually small and the probability distribution is concentrated; energy storage devices such as lithium batteries and vanadium redox flow batteries are greatly affected by charge-discharge cycles and temperature, and their degradation fluctuates significantly. The values ​​are relatively large, and the probability distribution is dispersed.

[0094] Scale parameters Characterizing the time-scale properties of decay, The value of β determines the width of the distribution interval; the smaller β is, The narrower the range of values, the less the decay factor is affected by the time scale. The larger, The larger the range of values ​​for , the greater the influence of the time scale on the attenuation factor. For short-time response energy storage such as supercapacitors, attenuation is negligible on time scales of seconds or minutes. The values ​​are relatively small; long-term energy storage such as molten salt energy storage and compressed air energy storage exhibit significant degradation on hourly / dayly timescales. The value is relatively large.

[0095] The method for obtaining the reliable total capacity and reliable total output of a hybrid energy storage system provided in this embodiment exhibits good adaptability across multiple time scales. By defining a "time scale decay factor" and constructing a correlation model between it and the inherent characteristic parameters of energy storage, it can systematically evaluate the performance of hybrid energy storage systems at multiple time scales, from seconds to quarters, overcoming the problems of existing methods that rely on a single time scale or do not consider all aspects. This embodiment also explicitly proposes and quantifies the concept of "reliable capacity" of a hybrid energy storage system at a specific time scale for the first time. By comprehensively considering the influence of various practical factors such as response speed, efficiency, self-discharge, and lifetime through the decay factor, the evaluation results are closer to engineering practice, providing a more reliable basis for system planning and scheduling. In addition, the evaluation framework and mathematical model provided in the formula of this embodiment have strong universality and can be applied to any hybrid system composed of two or more different types of energy storage. By adjusting the specific form of the time scale division and the decay factor function, it can be adapted to different application scenarios and energy storage technology characteristics. This embodiment can be considered to have not only evaluated the credible total capacity of the hybrid energy storage system, but also simultaneously evaluated the credible total output, providing comprehensive quantitative information on the power support and energy supply capabilities that the system can provide at different time scales. As an additional step, by introducing confidence levels, credible capacity and output evaluation results under different reliability requirements can be provided, further enhancing the engineering practicality and decision support capabilities of the evaluation method.

[0096] This embodiment also provides a specific example to illustrate the point:

[0097] A certain hybrid energy storage system includes energy storage types including but not limited to supercapacitors (SC), lithium batteries (LB), vanadium redox flow batteries (VFB), compressed air energy storage (CAES), and molten salt energy storage (MSS).

[0098] First, identify the parameters: Supercapacitor SC: Rated Capacitance kWh, rated power kW, charge-discharge conversion efficiency Response time s, self-discharge rate Cycle life Second-rate.

[0099] Lithium-ion battery (LB): Rated capacity kWh, rated power kW, charge-discharge conversion efficiency Response time s, self-discharge rate Cycle life Second-rate.

[0100] The second step is to divide the time scale: define the set of time scales. time scale hours = hours, hours, hour.

[0101] The third step is to calculate the decay factor for a single energy storage timescale: For simplicity, here we assume the cycle life loss influence function is... The value is 1.

[0102] For SC:

[0103] Response speed influence function : Down, , ;

[0104] Down, , ;

[0105] Similarly, .

[0106] Influence function of charge and discharge efficiency Assume that the charge / discharge efficiency is constant across all time scales. , , .

[0107] The self-discharge electrode is small. , .

[0108] therefore, , .

[0109] For LB:

[0110] : Down, Assuming ;

[0111] Down, , ;

[0112] Similarly, .

[0113] : , .

[0114] : Down, hours, 0 is negligible. ;

[0115] Down, hours, similarly ignored. ;

[0116] Down, hour .

[0117] therefore, ; ; .

[0118] The fourth step is to calculate the reliable capacity and output of a single energy storage system.

[0119] Supercapacitor SC:

[0120] ;

[0121]

[0122] .

[0123] ;

[0124] (Limited to the maximum output capacity within 10 minutes).

[0125] ;

[0126] .

[0127] Lithium-ion battery LB:

[0128] ;

[0129]

[0130] ;

[0131] .

[0132] ;

[0133] .

[0134] Vanadium redox flow battery (VFB):

[0135] Rated capacity 50kWh, rated power 30kW, capacity factor: =0.70, T2-T5=0.90.

[0136] T1 (15-second range): ,

[0137] T2 (10-minute level): ,

[0138] T3 (1-hour time slot): ,

[0139] Japanese level: ,

[0140] Weekly: ,

[0141] Compressed Air Energy Storage (CAES):

[0142] Rated capacity 200kWh, rated power 80kW, capacity factor 0.95.

[0143] (15-second range): ,

[0144] (10-minute level): ,

[0145] (1-hour timeframe): ,

[0146] Japanese level: ,

[0147] Weekly: ,

[0148] Molten Salt Storage (MSS):

[0149] Rated capacity 500kWh, rated power 150kW, capacity factor 0.98.

[0150] (15-second range): ,

[0151] (10-minute level): ,

[0152] (1-hour timeframe): ,

[0153] Japanese level: ,

[0154] Weekly: ,

[0155] Step 5: Calculation of the system's total reliable capacity and output:

[0156] (15-second range): ,

[0157] (10-minute level): ,

[0158] (1-hour timeframe): ,

[0159] Japanese level: ,

[0160] ≈0.20+3.75+1.88+7.92+20.42≈34.17

[0161] Weekly: ,

[0162] ≈0.03+0.54+0.27+1.13+2.92≈4.89 .

[0163] As can be seen from the above results, with the increase of the time scale ( (Increase), the system's reliable total output The significant decrease reflects the principle that "the smaller the time scale, the higher the confidence capacity and output." Here, the capacity is limited by the output of supercapacitors on a large time scale, so the total capacity change is not obvious. However, the confidence capacity of lithium batteries decreases on a small time scale due to the slow response.

[0164] Building upon the above, we introduce confidence levels. Assuming the supercapacitor's performance is determined through historical data or expert experience... It follows a normal distribution with a mean of 0.95 and a standard deviation of 0.02; lithium batteries It follows a normal distribution with a mean of 0.699 and a standard deviation of 0.05. Mean 0.90, Standard deviation 0.03 The mean is 0.8998 and the standard deviation is 0.02. By performing 10,000 Monte Carlo simulations, the lower limits of the system's reliable capacity and output at various time scales can be obtained at a 95% confidence level, which can serve as a basis for conservative design.

[0165] Example 3:

[0166] This embodiment provides a computer device, including a processor and a memory connected to the processor. The memory stores a computer program. When the computer program is executed by the processor, it performs the steps of the method for obtaining the trusted total capacity and trusted total output of a hybrid energy storage system as provided in Embodiment 1 or 2.

[0167] The computer device may be a server or an electronic terminal, as one embodiment, see reference. Figure 2 The computer device includes a processor, memory, input / output (I / O) interfaces, and a communication interface. The processor, memory, and I / O interfaces are connected via a system bus, and the communication interface is also connected to the system bus via the I / O interfaces. The processor provides computational and control capabilities. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage medium. The database stores data acquired and generated in the method for obtaining the trusted total capacity and trusted total output of the hybrid energy storage system. The I / O interfaces are used for exchanging information between the processor and external devices. The communication interface is used for communication with external terminals via a network connection. When the computer program is executed by the processor, it implements the method for obtaining the trusted total capacity and trusted total output of the hybrid energy storage system provided in Embodiment 1 or 2.

[0168] Those skilled in the art will understand that Figure 2The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0169] The computer device provided in this embodiment has the same technical effects as that in Embodiment 1 or 2, and will not be described again here.

[0170] Example 4:

[0171] This embodiment provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method for obtaining the trusted total capacity and trusted total output of the hybrid energy storage system provided in Embodiment 1 or Embodiment 2.

[0172] The computer-readable storage medium provided in this embodiment has the same technical effects as that in Embodiment 1 or 2, and will not be described again here.

[0173] Example 5:

[0174] This embodiment provides a computer program product storing a computer program that, when executed by a processor, implements the steps of the method for obtaining the trusted total capacity and trusted total output of the hybrid energy storage system provided in Embodiment 1 or Embodiment 2. The computer program product provided in this embodiment can be transmitted, distributed, and downloaded via the Internet in the form of signals.

[0175] The computer program product provided in this embodiment has the same technical effects as that in Embodiment 1 or 2, and will not be described again here.

[0176] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0177] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0178] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0179] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0180] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art will understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0181] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the technical principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for obtaining the reliable total capacity and reliable total output of a hybrid energy storage system, characterized in that, include, Obtain the rated capacity, rated power, response time, charge / discharge efficiency, and self-discharge rate for each energy storage type in the hybrid energy storage system; obtain various set time scales; Based on the response time, the charge / discharge efficiency, and the self-discharge rate, the time-scale decay factor of each energy storage type is obtained at different time scales. The reliable capacity of each energy storage type at different time scales is obtained based on the time scale decay factor and the rated capacity. Based on the reliable capacity of all energy storage types at each time scale, the reliable total output and reliable total capacity of the hybrid energy storage system at each time scale are obtained.

2. The method for obtaining the reliable total capacity and reliable total output of the hybrid energy storage system according to claim 1, characterized in that, The time-scale decay factor is calculated using the following formula: ， In the formula, This is the serial number for the energy storage type. This is the serial number on the time scale. For the first Types of energy storage in the first Time-scale decay factor at various time scales For the response speed effect function, Let be the function affecting charge and discharge efficiency. Let be the self-discharge effect function. For the first The response time of various energy storage types For the first Duration of various time scales For the first The charging and discharging efficiency of various energy storage types For the first The self-discharge rate of various energy storage types.

3. The method for obtaining the reliable total capacity and reliable total output of the hybrid energy storage system according to claim 1, characterized in that, In response to the energy storage type being an electrochemical battery and / or mechanical energy storage, the time-scale decay factor is calculated using the following formula: ， In the formula, This is the serial number for the energy storage type. This is the serial number on the time scale. For the first Types of energy storage in the first Time-scale decay factor at various time scales For the response speed effect function, Let be the function affecting charge and discharge efficiency. Let be the self-discharge effect function. For the first The response time of various energy storage types For the first Duration of various time scales For the first The charging and discharging efficiency of various energy storage types For the first The self-discharge rate of this type of energy storage Represents an exponential function; Alternatively, in response to the energy storage type being an electrochemical battery, the time-scale decay factor is calculated using the following formula: ， In the formula, Let temperature be the function. The operating or storage environment temperature. The function representing the effect of irreversible capacity decay. For extreme temperature exposure time, This refers to the number of charge-discharge cycles. To perform the maximum value operation, and These are the low-temperature recovery coefficient and the high-temperature recovery coefficient, respectively. It is the acceleration due to gravity. and These are the low-temperature critical temperature and the high-temperature critical temperature, respectively. and These are the lower limit of the suitable temperature for low temperatures and the lower limit of the suitable temperature for high temperatures, respectively. To characterize the rate of decay, The parameter describes the degree of nonlinearity in attenuation, where e is the natural constant. and These are the lower limit boundary value and the upper limit boundary value of the attenuation factor temperature, respectively. This refers to the cumulative operating time of the energy storage from the time it left the factory until the current time. This represents the theoretical maximum number of charge-discharge cycles for an energy storage battery. Alternatively, in response to the energy storage type being an electrochemical battery, the time-scale decay factor is calculated using the following formula: ， In the formula, The time-scale decay factor corresponding to the energy storage type is a non-electrochemical battery. The function representing the impact of cycle life loss. For the first Types of energy storage in the first Average cycle depth over various time scales For the first Cycle depth correction index for various energy storage types For the first Cycle life of various energy storage types It is the first The rated capacity of various energy storage types It is the first The rated power of various energy storage types This represents the maximum theoretical number of iterations.

4. The method for obtaining the reliable total capacity and reliable total output of the hybrid energy storage system according to claim 3, characterized in that, The total trusted capacity is obtained by the following formula: ， In the formula, For hybrid energy storage systems in the first Total credible capacity across various time scales For the first Types of energy storage in the first Trust capacity at various time scales This represents the number of energy storage types.

5. The method for obtaining the reliable total capacity and reliable total output of a hybrid energy storage system according to claim 4, characterized in that, The reliable total output power is obtained by the following formula: ， In the formula, For hybrid energy storage systems in the first Credible total output over various time scales For the first Types of energy storage in the first credible maximum output over various time scales This is an operation to find the minimum value.

6. The method for obtaining the reliable total capacity and reliable total output of the hybrid energy storage system according to claim 5, characterized in that, The probability distribution of the time-scale decay factor is modeled. The probability distribution modeling yields the following result for the hybrid energy storage system in the first... The system calculates a first probability of reaching the trusted maximum output and the trusted total capacity at a given time scale, and outputs the trusted total output and the trusted total capacity in response to the first probability reaching a set threshold. The first probability is obtained by calculating the following formula: ， In the formula, For shape parameters, For scale parameters, This is a gamma function.

7. The method for obtaining the reliable total capacity and reliable total output of the hybrid energy storage system according to any one of claims 3 to 6, characterized in that, The value of the response speed influence function is obtained by calculating the following formula: 。 8. A computer device, characterized in that, It includes a processor and a memory connected to the processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, it performs the steps of the method for obtaining the trusted total capacity and trusted total output of the hybrid energy storage system as described in any one of claims 1 to 7.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the program implements the steps of the method for obtaining the trusted total capacity and trusted total output of the hybrid energy storage system according to any one of claims 1 to 7.

10. A computer program product, comprising a computer program / instructions, characterized in that, When the computer program / instruction is executed by the processor, it implements the steps of the method for obtaining the trusted total capacity and trusted total output of the hybrid energy storage system according to any one of claims 1 to 7.

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