Charge state calculation method based on industrial and commercial energy storage, energy storage system and equipment

Abstract

The invention relates to a charge state calculation method based on industrial and commercial energy storage, an energy storage system and equipment, and the method does not need a high-precision voltage and current collection module, is integrated with an energy storage converter, does not need to increase extra cost, and carries out the error adjustment of the SOC of a battery through the full-power judgment of the energy storage equipment every day. On the basis, the SOC of the non-full-charge state can be estimated by calculating the relative discharge capacity compared with the full-charge state by taking the full-charge state of the battery as a basic reference, so that the calculation is simple, and the SOC value calculated by utilizing the full-charge setting SOC value and designing the relative discharge capacity according to the full-charge state as a reference state has relatively high precision; therefore, the dual-core SOC for industrial and commercial energy storage enables the cost, the complexity, the precision and the real-time performance of an industrial and commercial energy storage system to be highly unified. The control effect of the energy storage system enables the battery pack to operate in a better state for a long time, and the healthy life curve of the battery pack is obtained by charging and discharging the battery pack in the better state, so that the simulation method for the energy storage system has higher scientificity.

Description

Technical Field

[0001] The present invention relates to the field of nuclear power calculation methods, and in particular to a charge state calculation method based on industrial and commercial energy storage, an energy storage system, equipment and storage medium. Background Art

[0002] With the rapid development of lithium-ion batteries and new energy equipment in recent years, especially the development of new energy electric vehicles, BMS (battery management system) algorithms have emerged in an endless stream. These algorithms were born under the rapid development of electric vehicles. In recent years, industrial and commercial energy storage has rapidly developed a huge market potential driven by the policy of peak and valley electricity prices. Many electrical companies and energy companies have invested a lot of research and development efforts in the research and development of industrial and commercial energy storage. Due to the inertia of technology, many industrial and commercial energy storage R&D personnel are limited to BMS (battery management system) developed on the basis of electric vehicles, or make minor modifications and apply them in industrial and commercial energy storage systems, completely ignoring the specific application scenarios of industrial and commercial energy storage. Although the Kalman filter algorithm developed on the basis of electric vehicles can be directly used in industrial and commercial energy storage systems, the fact that industrial and commercial energy storage can dynamically adjust the error every day is a huge advantage in calculating SOC (state of charge), and electric vehicles do not have this application scenario. Therefore, the use of electric vehicle BMS (battery management unit) in industrial and commercial energy storage systems alone cannot maximize benefits.

[0003] Existing hardware and software technologies for estimating SOC (score of charge) of industrial and commercial energy storage systems are not compatible with multiple performance features and have one or more of the following deficiencies: 1. Using the open circuit voltage curve, the equivalent physical model of the battery pack is established for parameter identification, and then the SOC (state of charge) of the battery is estimated using the Kalman filter and its variant algorithm. Since the battery is a nonlinear element and its physical state changes greatly due to environmental changes, the linear equivalent physical model has a large error and the Kalman filter algorithm has certain requirements for the performance of the computing chip. Therefore, this method is complex in calculation, not very versatile and has a high cost; 2. Use the open circuit voltage curve to measure the terminal voltage of the battery to estimate its SOC (state of charge). Although this method is relatively simple to calculate, it is not very practical because the battery terminal voltage changes little when the SOC (state of charge) changes, the high-precision ADC module increases the material cost, and the battery needs to be left to stand for a period of time before the test until the terminal voltage stabilizes.

[0004] 3. The existing energy storage 3s system is a dual-module design, that is, the 2s-BMS (battery management unit) and PCS (energy storage inverter) in 3s are dual-module designs. This design has functional redundancy in industrial and commercial energy storage. The communication between the two modules is uncertain, and the BMS (battery management unit) and EMS (energy management unit) have undergone two levels of communication; it does not have advantages in real-time, cost, and error. Summary of the invention

[0005] The technical problem to be solved by the present invention is that the existing calculation method of industrial and commercial energy storage is relatively complex and not very practical, and the real-time performance of energy storage system communication is poor, the cost is high, and communication errors are relatively frequent. In view of the above-mentioned defects of the prior art, a calculation method of the state of charge based on industrial and commercial energy storage, an energy storage system based on industrial and commercial energy storage, an energy storage device based on industrial and commercial energy storage, and a computer-readable storage medium are provided.

[0006] In order to solve the above technical problems, the technical solution adopted by the present invention is: Construct a method for calculating the state of charge based on industrial and commercial energy storage, including: Get the battery capacity of the battery pack and the battery charging times threshold; Sampling and calculating the relative discharge amount of the battery pack relative to the last state of charge setting; Calculate the state of charge value using the current battery pack capacity; The battery pack is charged to replenish the state of charge. If the state of charge reaches a preset value, the relative discharge capacity of the battery pack is reset to zero, and the current actual battery pack capacity value is calculated and then the relative discharge capacity of the battery pack relative to the last state of charge is calculated in a cycle; If the state of charge does not reach the preset value, the sampling continues to calculate the relative discharge amount of the battery pack relative to the last state of charge setting.

[0007] Preferably, before the step of sampling and calculating the relative discharge amount of the battery pack relative to the last state of charge setting, the method further includes: A function of the relationship between the number of charge and discharge times and the battery health is obtained according to the number of charge times, and when the charging state of the battery pack reaches a preset value, the battery health decays according to the functional relationship.

[0008] Preferably, in the function of obtaining the relationship between the number of charge and discharge times and the battery health status according to the number of charge and discharge times; A quadratic polynomial is used to fit the function of the relationship between the number of charge and discharge times and the battery health status, and the result of the quadratic polynomial fitting is positively correlated with the function of the relationship between the number of charge and discharge times and the battery health status of the battery pack; The charging of the battery pack to replenish the state of charge, if the state of charge reaches a preset value, then the relative discharge amount of the battery pack is reset to zero, further comprising: The battery health relationship after the superposition of the charge and discharge times is calculated according to the quadratic polynomial, and the actual capacity value of the battery pack is calculated according to the calculated battery health relationship.

[0009] Preferably, in the process of charging the battery pack to supplement the state of charge; If the state of charge does not reach the preset value, the actual capacity value of the battery pack does not change; if the state of charge reaches the preset value, the actual capacity of the battery pack changes and decreases.

[0010] Construct an energy storage system based on industrial and commercial energy storage, including: Energy management system, calculates the relative discharge and state of charge of the battery pack, and calculates the relative discharge or battery health based on the charging state to calculate the actual capacity of the battery pack The battery management system provides battery pack information and a charging number threshold, and obtains a function of the relationship between the charging number and the battery health status based on the charging number threshold.

[0011] Preferably, the energy management system samples and calculates the relative discharge amount of the battery pack relative to the last state of charge setting; Calculate the state of charge value using the current battery pack capacity; The battery pack is charged to replenish the state of charge. If the state of charge reaches a preset value, the relative discharge capacity of the battery pack is reset to zero, and the current actual battery pack capacity value is calculated and then the relative discharge capacity of the battery pack relative to the last state of charge is calculated in a cycle; If the state of charge does not reach the preset value, the sampling continues to calculate the relative discharge amount of the battery pack relative to the last state of charge setting.

[0012] Preferably, the battery management system uses a quadratic polynomial to fit a function of the relationship between the number of charge and discharge times and the battery health state, and the result of the quadratic polynomial fitting is positively correlated with the function of the relationship between the number of charge and discharge times and the battery health state of the battery pack.

[0013] Preferably, the energy management system and the battery management system each include a group of CPU cores, and there is a shared area between the two cores for data interaction.

[0014] A smart terminal device is constructed, characterized in that the smart terminal device includes at least one memory, at least one processor, and a method program for calculating the state of charge based on industrial and commercial energy storage stored in the memory and executable on the processor, wherein the method program for calculating the state of charge based on industrial and commercial energy storage implements the steps of the method for calculating the state of charge based on industrial and commercial energy storage as described in any one of the above items when executed by the processor.

[0015] A computer-readable storage medium is constructed, characterized in that a program for calculating the state of charge based on industrial and commercial energy storage is stored on the computer-readable storage medium, and when the program for calculating the state of charge based on industrial and commercial energy storage is executed by a processor, the steps of any one of the methods for calculating the state of charge based on industrial and commercial energy storage described above are implemented.

[0016] The beneficial effect of the present invention is that when the battery pack is charged, if the charging reaches the set value, the battery pack is considered to be fully charged. The set value can be set as needed, such as set to 100% state or 95% state, etc. When the battery pack is charged to the set value state, the battery pack is considered to be fully charged, and then step S6 is performed. If the set value is not reached during the charging process, the relative discharge amount of the battery pack is calculated in the manner of step S3, and the state of charge value is calculated. The method does not require a high-precision voltage and current acquisition module, and is integrated with the energy storage converter without adding additional costs. The error adjustment of the battery SOC is only made by using the full charge judgment of the energy storage device every day. On this basis, the relative discharge amount compared to the full charge state can be calculated based on the full charge state of the battery as a reference to estimate the SOC of its non-full charge state. This estimation method makes the calculation simple, so the dual-core SOC of the industrial and commercial energy storage makes the cost, complexity, accuracy, and real-time performance of the industrial and commercial energy storage system highly unified. The SOC value calculated by using the full charge setting SOC value and designing the relative discharge amount based on the full charge state as the reference state has a high accuracy. The control function of the energy storage system keeps the battery pack running in the best state for a long time. Since the battery pack health life curve is obtained by charging and discharging the battery pack in the best state, the simulation method used for the energy storage system is more scientific. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the present invention will be further described below in conjunction with the accompanying drawings and embodiments. The drawings described below are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative work: Figure 1 A schematic diagram of a flow chart of a calculation method according to a preferred embodiment of the present invention; Figure 2 A logic flow chart of a calculation method of a preferred embodiment of the present invention; Figure 3 A schematic diagram of the structure of an energy storage system according to a preferred embodiment of the present invention; Figure 4 A schematic diagram of the structure of dual-core communication in a preferred embodiment of the present invention; Figure 5 This is a schematic diagram of the structure of dual-core sharing of an energy storage system according to a preferred embodiment of the present invention; Figure 6The figure is a schematic diagram of the internal structure of a smart terminal device according to a preferred embodiment of the present invention. DETAILED DESCRIPTION

[0018] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the following will be described clearly and completely in combination with the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are partial embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work belong to the protection scope of the present invention.

[0019] The method for calculating the state of charge of industrial and commercial energy storage according to the preferred embodiment of the present invention; Figure 1-2 As shown, it is a flow chart of a method for calculating the state of charge based on industrial and commercial energy storage provided by an embodiment of the present invention. The method can be executed by a device, and the device can be implemented by software and / or hardware.

[0020] Specifically, in this embodiment, the method for calculating the state of charge based on industrial and commercial energy storage includes the following steps: Step S1: Obtain the battery capacity and charging times threshold of the battery pack; In the preferred embodiment of the present invention, the state of charge is based on the characteristics of industrial and commercial energy storage. The industrial and commercial energy storage system uses peak shaving and valley filling to earn the price difference of electricity. Therefore, industrial and commercial manufacturers will configure energy storage converters that can fully charge the energy storage system during the low electricity price period, and use the low electricity price period to fully charge the energy storage system, and then output it for use during the peak electricity price to obtain benefits. First, you need to obtain the battery pack capacity of the battery pack. The battery pack capacity will be indicated on the nameplate of the newly purchased battery pack (in AH), and at this time, the health of the battery pack is 100%, and the number of charging times is 0. With the subsequent use and charging of the battery, the number of charge and discharge will gradually increase, and its battery health will gradually decrease. At this time, the actual capacity of the battery pack will no longer be the same as the capacity marked on the nameplate, and is often determined by the battery health. The product of the battery pack calibrated capacity and the battery health is the actual capacity of the battery pack. The number of charge and discharge times is determined by the battery pack cells. When the battery pack reaches the charging set value, the number of charge and discharge times is accumulated by 1, and the battery health level decays once. Therefore, the charge number threshold can be obtained when the battery pack is obtained, and the degree of battery health decay after each charge and discharge can be determined based on the threshold.

[0021] It should be noted that in the present invention, since the battery pack cells will undergo a battery life test before leaving the factory, the test battery's capacity decay is a function of the number of charging and discharging times. The independent variable is the number of charging and discharging times, and the function is the battery health status SOH. Therefore, the threshold value is the current state of charge value when the battery pack is discharged to a certain state during the test, which is one charge and discharge.

[0022] Step S2: obtaining a function of the relationship between the number of charge and discharge times and the health of the battery according to the number of charge times; In order to facilitate the calculation of the relationship between the number of charge and discharge times and the battery health in the preferred embodiment of the present invention, a polynomial is used to fit the curve of the number of charge and discharge times and the battery health life, making it a quadratic polynomial, and the fitted quadratic polynomial is positively correlated with the curve of the number of charge and discharge times and the battery health life, and the correlation is as high as 99.7%, thereby obtaining the functional relationship between the number of charge and discharge times and the battery health life, and after each effective charge and discharge, the attenuation degree of the battery health can be calculated according to the fitted functional relationship, and the actual capacity value of the battery pack can be calculated according to the attenuation degree.

[0023] Step S3: sampling and calculating the relative discharge amount of the battery pack relative to the last state of charge setting; Step S4: Calculate the state of charge value using the current battery pack capacity; In a preferred embodiment of the present invention, since the capacity of the battery pack will decay during the playback process, for example, if the capacity of a new battery is 3000AH, then the SOC will be increased or decreased by 1 when 3AH is calculated using the ampere-hour integration method. However, since the actual capacity of the battery is constantly decaying during use, it is necessary to use the battery health level to calculate the actual capacity of the battery at this time. For example, after a 300AH battery is charged and discharged 1000 times, the SOH is 66.7%, and the actual capacity of the battery is 200AH. At this time, if 2AH is calculated using the ampere-hour integration method, the SOC will be increased or decreased by 1. After the battery pack is set to full charge, the battery is subsequently discharged. At this time, the discharge capacity of the battery can be calculated, that is, the discharge current is measured using ADC, and the discharge capacity can be obtained by integrating over discrete time. The percentage of the discharge capacity to the actual capacity of the battery is the consumption. For example, if the initial capacity of the battery pack (the capacity on the battery nameplate) is 500AH and the battery health is 80%, then the actual capacity of the battery is 400AH. At this time, the calculation is relative to the full charge state. 100AH ​​is discharged, and the discharged power accounts for 25% of the actual power of 400AH, that is, the state of charge at this time is 75%. If 50AH is charged at this time, the relative discharge capacity is 100-50=50AH, and the state of charge at this time is 87.5%.

[0024] The actual battery capacity is calculated as follows: ,in is the actual capacity of the battery pack, is the rated capacity of the battery pack (the capacity recorded on the battery pack nameplate), The health of the battery.

[0025] Relative discharge capacity of battery pack , The current at the positive and negative terminals of the battery measured at this time (discharging current is positive, charging current is negative), is the cycle time of the timer, then the cumulative unit relative to the full charge state is ampere, and then converted to ampere-hours, the state of charge SOC at this time is calculated as: In the formula, The final unit of the accumulated calculation in a 1-second timer is A / M, which needs to be converted into A / H. Q is the factory capacity of the battery, and SOH is the health of the battery.

[0026] Step S5: charging the battery pack. If the state of charge reaches a preset value, proceed to step S6. If not, repeat step S3. In a preferred embodiment of the present invention, when the battery pack is charged, if the charging reaches the set value, the battery pack is considered to be fully charged. The set value can be set as needed, such as set to 100% state or 95% state, etc. When the battery pack is charged to the set value state, the battery pack is considered to be fully charged, and then step S6 is performed. If the set value is not reached during the charging process, the relative discharge amount of the battery pack is calculated in the manner of step S3, and the state of charge value is calculated. It should be noted that as long as the charging state is entered and the charging reaches the set value, it is considered to be full. Since industrial and commercial energy storage often needs to be charged once a day, it is often charged to the set value and is considered to be full. If it is not full, since the actual capacity of the battery pack is still the actual capacity of the unfull state, it is only necessary to calculate the charged state of charge value at this time, and calculate the current state of charge value based on the charged charge.

[0027] Step S6: Reset the relative discharge capacity of the battery pack to zero, and the state of charge to 100%, and calculate the battery health; Step S7: Calculate the current actual battery pack capacity value using the battery health status, and loop back to step S3; In a preferred embodiment of the present invention, when the battery pack is charged to a set value, it is considered that the number of charging times is increased by 1, and the relative discharge amount of the battery pack is returned to 0. At this time, the state of charge is 100%. The current battery health life value can be obtained based on the curve of the battery charge and discharge times and the battery health life, and the actual capacity value of the current battery pack is calculated based on the battery health life value, and then the step S3 is repeated to perform the discharge and charge cycle to realize the calculation of the state of charge. It should be noted that the calculation of the SOC of the battery pack is based on the relative discharge amount relative to the full charge state when the battery was last fully charged at 100%, using the ampere-hour integration method. For example, the initial capacity of the battery is 300AH, and the SOH of the battery at this time is 66.7, then the actual capacity of the battery at this time is 200AH, the current state is 100AH ​​discharged relative to the last full charge state, and 50AH charged, then the relative discharge amount at this time is 50AH, and 50AH is 25% of the actual capacity of the battery pack, that is, only 25% is discharged relative to the full charge state, then the state of charge at this time is 75%.

[0028] The state of charge is calculated by the above method, and the full charge setting and full charge are used as reference. The energy storage device can be charged and discharged almost once a day to adjust the error of 100% of the power, and the state of charge of the discharge state is calculated based on the 100% state as the basic reference system, that is, the energy storage system is considered to be 100% when it is continuously charged at a current less than a certain current in the charging state, and the energy storage system can calculate the actual capacity of the battery pack and adjust the error of the state of charge every day. On this basis, by comparing the relative discharge amount of 100%, the state of charge value in the non-100% state is calculated. This method not only has high calculation accuracy but also does not require high-precision modules and is low-cost.

[0029] Corresponding to a method for calculating the state of charge based on industrial and commercial energy storage, the present invention also provides a method based on an industrial and commercial energy storage system, specifically, Figure 3 As shown, the energy storage system includes: an energy management system 100 and a battery management system 200. Figure 4 As shown in FIG, the energy management system and the battery management system are integrated using dual-core chips to improve the communication rate and accuracy, and further reduce the production cost. Figure 5As shown in the figure, the dual-core design selects a DSP chip with two CPU cores as the main core of the battery management system, where CPU1 processes the tasks of the battery management system module and CPU2 processes the tasks of the energy management system module, and both can run at the same time, moving the data that needs to be interacted into the shared area to save the cost of the external bus chip and completely avoid communication errors and communication interruptions caused by high magnetic changes and wiring. Under the dual-core design, the existing traditional structure of energy storage 3s is simplified, the production cost is reduced, the communication between the battery management system and the energy management system is optimized, and the stability and real-time performance of data transmission are improved. In addition, the dual-core design allows the battery information to be directly uploaded to the energy management system, and the energy management system can make decisions in the first time.

[0030] The energy management system 100 calculates the relative discharge capacity and the state of charge value of the battery pack, and calculates the relative discharge capacity or the battery health status according to the charging state to calculate the actual capacity of the battery pack.

[0031] Furthermore, after the battery pack is set to be fully charged, the battery is subsequently discharged. At this time, the discharge capacity of the battery can be calculated, that is, the discharge current is measured using ADC, and the discharge capacity can be obtained by integrating over discrete time. The percentage of the discharge capacity to the actual capacity of the battery is the consumption. For example, if the initial capacity of the battery pack (the capacity on the battery nameplate) is 500AH and the battery health is 80%, then the actual capacity of the battery is 400AH. At this time, the calculation is relative to the full charge state. The discharged capacity accounts for 25% of the actual capacity of 400AH, that is, the state of charge at this time is 75%. If 50AH is charged at this time, the relative discharge capacity is 100-50=50AH, and the state of charge at this time is 87.5%.

[0032] The actual battery capacity is calculated as follows: ,in is the actual capacity of the battery pack, is the rated capacity of the battery pack (the capacity recorded on the battery pack nameplate), The health of the battery.

[0033] Relative discharge capacity of battery pack , The current at the positive and negative terminals of the battery measured at this time (discharging current is positive, charging current is negative), is the cycle time of the timer, then the cumulative unit relative to the full charge state is ampere, and then converted to ampere-hours, the state of charge SOC at this time is calculated as: In the formula, The final unit of the accumulated calculation in a 1-second timer is A / M, which needs to be converted into A / H. Q is the factory capacity of the battery, and SOH is the health of the battery.

[0034] Furthermore, when the battery pack is charged, if the charge reaches the set value, the battery pack is considered to be fully charged. The set value can be set as needed, such as set to 100% state or 95% state, etc. When the battery pack is charged to the set value state, the battery pack is considered to be fully charged. If the set value is not reached during the charging process, the relative discharge amount of the battery pack is continued to be calculated, and the state of charge value is calculated. It should be noted that as long as the charging state is entered and the charge reaches the set value, it will be considered to be full. Since industrial and commercial energy storage often needs to be charged once a day, it is often charged to the set value and considered to be full. If it is not full, since the actual capacity of the battery pack is still the actual capacity of the unfull state, it is only necessary to calculate the charged state of charge value at this time, and calculate the current state of charge value based on the charged charge.

[0035] The battery management system 200 provides battery pack information and a charging times threshold, and obtains a function of the relationship between the charging times and the battery health status according to the charging times threshold.

[0036] Furthermore, it is necessary to first obtain the battery pack capacity of the battery pack. The capacity of the battery pack will be indicated on the nameplate of the newly purchased battery pack (in AH), and at this time the health of the battery pack is 100%, and the number of charging times is 0. As the battery is used and charged in the future, the number of charge and discharge times will gradually increase, and its battery health will gradually decrease. At this time, the actual capacity of the battery pack will no longer be the same as the capacity marked on the nameplate, and is often determined by the battery health. The product of the battery pack's calibrated capacity and the battery health is the actual capacity of the battery pack. The number of charge and discharge times is determined by the battery pack cells. Often, when the battery pack reaches the charging set value in the charging state, the number of charge and discharge times will be accumulated by 1, and the battery health will decay once. Therefore, the charge number threshold can be obtained when obtaining the battery pack, and the degree of battery health decay after each charge and discharge can be determined based on the threshold.

[0037] Furthermore, in order to facilitate the calculation of the relationship between the number of charge and discharge times and the battery health, the present invention uses a polynomial to fit the curve of the number of charge and discharge times and the battery health life, making it a quadratic polynomial, and the fitted quadratic polynomial is positively correlated with the curve of the number of charge and discharge times and the battery health life, and the correlation is as high as 99.7%, thereby obtaining the functional relationship between the number of charge and discharge times and the battery health life, and after each effective charge and discharge, the attenuation degree of the battery health can be calculated based on the fitted functional relationship, and the actual capacity value of the battery pack can be calculated based on the attenuation degree.

[0038] Based on the above embodiments, the present invention further provides an intelligent terminal device, whose principle block diagram is as follows: Figure 6 As shown, the above-mentioned intelligent terminal device includes a processor, a memory, a network interface and a display screen connected through a system bus. The processor of the intelligent terminal is used to provide computing and control capabilities. The memory of the intelligent terminal device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores a method program for calculating the state of charge based on industrial and commercial energy storage. The memory provides an environment for the operation of the operating system in the non-volatile storage medium and the method program for calculating the state of charge based on industrial and commercial energy storage. The network interface of the intelligent terminal device is used to communicate with an external terminal through a network connection. When the method program for calculating the state of charge based on industrial and commercial energy storage is executed by the processor, any of the steps of the method for calculating the state of charge based on industrial and commercial energy storage are implemented. The display screen of the intelligent terminal can be a liquid crystal display screen or other display screen.

[0039] Those skilled in the art will understand that Figure 6 The principle block diagram shown in the figure is only a block diagram of a partial structure related to the solution of the present invention, and does not constitute a limitation on the smart terminal device to which the solution of the present invention is applied. The specific smart terminal device may include more or fewer components than those shown in the figure, or combine certain components, or have a different component arrangement.

[0040] In an embodiment of the present invention, a smart terminal is provided. The smart terminal includes a memory, a processor, and a safe item identification program stored in the memory and executable on the processor. When the safe item identification program is executed by the processor, the following operation instructions are performed: Get the battery capacity and charge times threshold of the battery pack; A function that obtains the relationship between the number of charge and discharge times and the health of the battery based on the number of charge times; Sampling and calculating the relative discharge amount of the battery pack relative to the last state of charge setting; Calculate the state of charge value using the current battery pack capacity; The battery pack is charged. If the state of charge reaches the preset value, the relative discharge of the battery pack is reset to zero, and the state of charge is 100%, and the battery health is calculated; The current actual battery pack capacity value is calculated using the battery health level, and the relative discharge of the battery pack relative to the last state of charge is calculated; If the state of charge does not reach the preset value, the relative discharge amount of the battery pack relative to the last state of charge setting is calculated; Repeat the above steps.

[0041] An embodiment of the present invention further provides a computer-readable storage medium, on which is stored a program for a method for calculating the state of charge based on industrial and commercial energy storage. When the program for calculating the state of charge based on industrial and commercial energy storage is executed by a processor, the steps of any one of the methods for calculating the state of charge based on industrial and commercial energy storage provided in an embodiment of the present invention are implemented.

[0042] It should be understood that the present invention is described by some embodiments, and those skilled in the art will appreciate that various changes or equivalent substitutions may be made to these features and embodiments without departing from the spirit and scope of the present invention. In addition, under the teachings of the present invention, these features and embodiments may be modified to adapt to specific circumstances and materials without departing from the spirit and scope of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed herein, and all embodiments falling within the scope of the claims of this application are within the scope of protection of the present invention.

Claims

1. A method for calculating the state of charge of industrial and commercial energy storage, characterized in that: include: Get the battery capacity of the battery pack and the battery charging times threshold; Sampling and calculating the relative discharge amount of the battery pack relative to the last state of charge setting; Calculate the state of charge value using the current battery pack capacity; The battery pack is charged to replenish the state of charge. If the state of charge reaches a preset value, the relative discharge capacity of the battery pack is reset to zero, and the current actual battery pack capacity value is calculated and then the relative discharge capacity of the battery pack relative to the last state of charge is calculated in a cycle; If the state of charge does not reach the preset value, the sampling continues to calculate the relative discharge amount of the battery pack relative to the last state of charge setting.

2. The calculation method according to claim 1, characterized in that: Before the step of sampling and calculating the relative discharge amount of the battery pack relative to the last state of charge setting, the step also includes: A function of the relationship between the number of charge and discharge times and the battery health is obtained according to the number of charge times, and when the charging state of the battery pack reaches a preset value, the battery health decays according to the functional relationship.

3. The calculation method according to claim 2, characterized in that: In the function of obtaining the relationship between the number of charge and discharge times and the health of the battery according to the number of charge and discharge times; A quadratic polynomial is used to fit the function of the relationship between the number of charge and discharge times and the battery health status, and the result of the quadratic polynomial fitting is positively correlated with the function of the relationship between the number of charge and discharge times and the battery health status of the battery pack; The charging of the battery pack to replenish the state of charge, if the state of charge reaches a preset value, then the relative discharge amount of the battery pack is reset to zero, further comprising: The battery health relationship after the superposition of the charge and discharge times is calculated according to the quadratic polynomial, and the actual capacity value of the battery pack is calculated according to the calculated battery health relationship.

4. The calculation method according to claim 1, characterized in that: In the process of charging the battery pack to replenish the state of charge; If the state of charge does not reach the preset value, the actual capacity value of the battery pack does not change; if the state of charge reaches the preset value, the actual capacity of the battery pack changes and decreases.

5. An energy storage system based on industrial and commercial energy storage, characterized in that: include: Energy management system, calculates the relative discharge and state of charge of the battery pack, and calculates the relative discharge or battery health based on the charging state to calculate the actual capacity of the battery pack The battery management system provides battery pack information and a charging number threshold, and obtains a function of the relationship between the charging number and the battery health status based on the charging number threshold.

6. The energy storage system according to claim 5, characterized in that: The energy management system samples and calculates the relative discharge amount of the battery pack relative to the last state of charge setting; Calculate the state of charge value using the current battery pack capacity; The battery pack is charged to replenish the state of charge. If the state of charge reaches a preset value, the relative discharge capacity of the battery pack is reset to zero, and the current actual battery pack capacity value is calculated and then the relative discharge capacity of the battery pack relative to the last state of charge is calculated in a cycle; If the state of charge does not reach the preset value, the sampling continues to calculate the relative discharge amount of the battery pack relative to the last state of charge setting.

7. The energy storage system according to claim 5, characterized in that: The battery management system uses a quadratic polynomial to fit a function of the relationship between the number of charge and discharge times and the battery health state, and the result of the quadratic polynomial fitting is positively correlated with the function of the relationship between the number of charge and discharge times and the battery health state of the battery pack.

8. The energy storage system according to claim 5, characterized in that: The energy management system and the battery management system each include a group of CPU cores, and there is a shared area between the two cores for data interaction.

9. An intelligent terminal device, characterized in that: The smart terminal device includes at least one memory, at least one processor, and a method program for calculating the state of charge based on industrial and commercial energy storage stored in the memory and executable on the processor. When the method program for calculating the state of charge based on industrial and commercial energy storage is executed by the processor, the steps of the method for calculating the state of charge based on industrial and commercial energy storage are implemented as described in any one of claims 1 to 4.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a method program for calculating the state of charge based on industrial and commercial energy storage. When the method program for calculating the state of charge based on industrial and commercial energy storage is executed by a processor, the steps of the method for calculating the state of charge based on industrial and commercial energy storage as described in any one of claims 1-4 are implemented.

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