A battery state of charge calculation method, device and energy storage system

Abstract

The present application discloses a battery state of charge calculation method, device, and energy storage system. In this method, first, the light intensity change and ambient temperature change at the arcing location in the energy storage system during the arcing period are obtained; then, based on the light intensity change and ambient temperature change, the energy loss at the arcing location is calculated; finally, based on the current battery state of charge and energy loss at the arcing location stored in the energy storage system, the actual battery state of charge at the arcing location in the energy storage system is calculated. Thus, based on the light intensity change and ambient temperature change during the arcing period, the energy loss caused by the arcing is calculated, and then the influence of the energy loss caused by the arcing is removed from the battery state of charge, and the battery state of charge at the arcing location is calculated more accurately, which can enable the energy storage system to achieve greater benefits and avoid safety issues caused by inconsistent charging and discharging times between multiple battery clusters in the energy storage system.

Description

Technical Field

[0001] The present application relates to the field of energy storage technology, and in particular to a battery state of charge calculation method, device, and energy storage system. Background Art

[0002] Energy storage systems have numerous electrical connection points. When connected to loads and operating continuously, faults such as insulation carbonization, short circuits, and air ionization can easily occur, causing arcing and draining energy from the batteries. The battery state of charge (SOC) is a core parameter of the battery management system in energy storage systems. Arcing often causes the SOC of the arcing battery cluster in the energy storage system to be inconsistent with its actual SOC. This, in turn, leads to inconsistent charge and discharge times across multiple battery clusters in the energy storage system, hindering the energy storage system from achieving maximum efficiency and even causing safety issues due to battery overcharge or overdischarge.

[0003] Therefore, how to calculate the battery state of charge at the location where arcing occurs has become a problem that needs to be solved urgently. Summary of the Invention

[0004] Based on the above problems, the present application provides a battery state of charge calculation method, device and energy storage system, which can more accurately calculate the battery state of charge at the location where arcing occurs, so that the energy storage system can achieve greater benefits and avoid safety problems caused by inconsistent charging and discharging times between multiple battery clusters in the energy storage system.

[0005] The embodiments of this application disclose the following technical solutions:

[0006] In a first aspect, the present application provides a method for calculating a battery state of charge, the method comprising:

[0007] Obtaining the light intensity change and ambient temperature change at the arcing location in the energy storage system during the arcing period;

[0008] Calculating the energy loss at the arcing location based on the light intensity change and the ambient temperature change;

[0009] Based on the current battery state of charge at the arcing location stored in the energy storage system and the energy loss, the actual battery state of charge at the arcing location in the energy storage system is calculated.

[0010] Optionally, the calculating the energy loss at the arcing location based on the light intensity change and the ambient temperature change includes:

[0011] Calculating a first energy consumption generated by light emission during arc drawing based on the light intensity variation;

[0012] Calculating a second energy consumption generated by heat release during the arc drawing process based on the ambient temperature change;

[0013] The first energy consumption and the second energy consumption are summed to obtain the energy loss at the arcing location.

[0014] Optionally, obtaining the light intensity change and the ambient temperature change at the arcing location in the energy storage system during the arcing period includes:

[0015] Obtaining an average light intensity and an average ambient temperature at an arcing location in the energy storage system during a first time period when no arcing occurs, as well as an arcing light intensity and an arcing ambient temperature at the arcing location during an arcing time period;

[0016] Based on the light intensity average, the ambient temperature average, the arcing light intensity and the arcing ambient temperature, the light intensity change and the ambient temperature change at the arcing location in the energy storage system within the arcing period are obtained.

[0017] Optionally, before obtaining the light intensity change and the ambient temperature change at the arcing location in the energy storage system within the arcing period, the method further includes:

[0018] Obtaining the number of times arcing occurs at multiple electrical connection points in the energy storage system within a preset test time;

[0019] The light intensity and the ambient temperature of the target electrical connection point where the number of arcing occurrences is greater than a preset first threshold are monitored.

[0020] Optionally, after monitoring the light intensity and ambient temperature of the target electrical connection point where the number of arcing occurrences is greater than a preset first threshold, the method further includes:

[0021] The arcing period is determined based on the light intensity and the ambient temperature of the target electrical connection point.

[0022] In a second aspect, the present application provides a battery state of charge calculation device, the device comprising: an acquisition module, an energy calculation module, and a battery state of charge calculation module;

[0023] The acquisition module is used to obtain the light intensity change and the ambient temperature change at the arcing location in the energy storage system during the arcing period;

[0024] The energy calculation module is used to calculate the energy loss at the arcing location based on the light intensity change and the ambient temperature change;

[0025] The battery state of charge calculation module is used to calculate the actual battery state of charge at the arcing location in the energy storage system based on the current battery state of charge at the arcing location stored in the energy storage system and the energy loss.

[0026] In a third aspect, the present application provides an energy storage system, the system comprising: a plurality of battery clusters, a temperature sensor, a light intensity sensor, and a processor;

[0027] The multiple battery clusters are connected in parallel; each battery cluster is provided with at least one temperature sensor and at least one light intensity sensor; the output end of the temperature sensor and the output end of the light intensity sensor are both electrically connected to the input end of the processor;

[0028] The processor is configured to receive the ambient temperature signal monitored by the temperature sensor and the light intensity signal monitored by the light intensity sensor, and execute the steps of the battery state of charge calculation method according to any one of claims 1 to 5.

[0029] Optionally, the battery cluster includes a plurality of energy storage battery packs and a data acquisition unit;

[0030] The multiple energy storage battery packs are connected in series; the data acquisition unit is connected in parallel with the multiple energy storage battery packs connected in series; the signal receiving end of the data acquisition unit is connected to the signal output end of the light intensity sensor and the signal output end of the temperature sensor; the signal output end of the data acquisition unit is connected to the signal receiving end of the processor;

[0031] The data acquisition unit is used to obtain the light intensity signal monitored by the light intensity sensor and the ambient temperature signal monitored by the temperature sensor, and transmit the light intensity signal and the ambient temperature signal to the processor.

[0032] Optionally, the data acquisition unit is connected in parallel with the multiple energy storage battery packs connected in series via two electrical connection points, and a light intensity sensor and a temperature sensor are provided within a range where the distance from the electrical connection points is less than a preset distance threshold.

[0033] Optionally, a light intensity sensor and a temperature sensor are provided at the center of the data acquisition unit.

[0034] Compared with the existing technology, this application has the following beneficial effects:

[0035] The present application provides a method for calculating the battery state of charge. First, the light intensity change and the ambient temperature change at the arcing location in the energy storage system are obtained during the arcing period. Then, based on the light intensity change and the ambient temperature change, the energy loss at the arcing location is calculated. Finally, based on the current battery state of charge and energy loss at the arcing location stored in the energy storage system, the actual battery state of charge at the arcing location in the energy storage system is calculated. Utilizing the characteristic that energy is mainly lost through light and heat release during the arcing process, the energy loss caused by the arcing is calculated based on the light intensity change and the ambient temperature change during the arcing period. The influence of the energy loss caused by the arcing is then removed from the battery state of charge, and the battery state of charge at the arcing location is calculated more accurately. The battery state of charge differences of different battery clusters in the energy storage system are more accurately reflected, thereby enabling the energy storage system to achieve greater benefits, avoiding safety issues caused by inconsistent charge and discharge times between multiple battery clusters in the energy storage system, and improving the economy and safety of the energy storage system. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0037] Figure 1 A flow chart of a method for calculating the state of charge of a battery provided in an embodiment of the present application;

[0038] Figure 2 A schematic diagram of a battery state of charge calculation device provided in an embodiment of the present application;

[0039] Figure 3 A schematic diagram of an energy storage system provided in an embodiment of the present application;

[0040] Figure 4 A schematic diagram of another energy storage system provided in an embodiment of the present application;

[0041] Figure 5 A schematic diagram of another energy storage system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0042] The battery state of charge calculation method, device, and energy storage system provided in this application can be used in the field of energy storage. The above is only an example and does not limit the application field of the battery state of charge calculation method, device, and energy storage system provided by the present invention.

[0043] The terms "first", "second" and "third" in the specification, claims and drawings of this application are used to distinguish different objects rather than to limit a specific order.

[0044] In the embodiments of this application, words such as "as an example" or "for example" are used to indicate examples, illustrations, or explanations. Any embodiment or design described in the embodiments of this application as "as an example" or "for example" should not be interpreted as being preferred or advantageous over other embodiments or designs. Rather, the use of words such as "as an example" or "for example" is intended to present the relevant concepts in a concrete manner.

[0045] The terms used in the implementation section of this application are only used to explain the specific embodiments of this application and are not intended to limit this application.

[0046] In order to help those skilled in the art better understand the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of this application.

[0047] See also Figure 1 , which is a flow chart of a method for calculating a battery state of charge provided by an embodiment of the present application, the method comprising:

[0048] S101: Obtaining a change in light intensity and an ambient temperature at an arcing location in an energy storage system during an arcing period.

[0049] The energy consumed by arcing is primarily released through light and heat. A continuously burning arc can generate temperatures exceeding thousands of degrees Celsius and emit arc light. Therefore, in this embodiment of the present application, the energy consumed by arcing is measured by the change in light intensity and ambient temperature at the arcing location within the arcing period.

[0050] Specifically, the light intensity average and the ambient temperature average of the arcing location in the energy storage system during the first time period before arcing occurs can be obtained by using light sensors and temperature sensors arranged in the energy storage system, as well as the arcing light intensity and the arcing ambient temperature of the arcing location during the arcing period. For example, the light intensity average and the ambient temperature average of the arcing location in the energy storage system within ten minutes before the arcing occurs can be obtained. Then, based on the light intensity average, the ambient temperature average, the arcing light intensity and the arcing ambient temperature, the light intensity change and the ambient temperature change of the arcing location in the energy storage system during the arcing period can be obtained, wherein the light intensity change can be a function of light intensity and time, and the ambient temperature change can be a function of temperature and time.

[0051] Optionally, a reference moment that is separated from the moment when arcing occurs by a preset time period may be obtained first, wherein the reference moment is before the moment when arcing occurs, for example, if the moment when arcing occurs is 13:24:36 and the preset time period is 1 minute, then the reference moment is 13:23:36; then, a reference light intensity and a reference temperature detected by the light sensor and the temperature sensor arranged in the energy storage system at the reference moment, as well as the arcing light intensity and the arcing ambient temperature at the position where arcing occurs within the arcing period are obtained; finally, based on the reference light intensity, the reference temperature, the arcing light intensity and the arcing ambient temperature, the light intensity change and the ambient temperature change at the position where arcing occurs in the energy storage system within the arcing period may be obtained.

[0052] S102: Calculate the energy loss at the arcing location based on the change in light intensity and the change in ambient temperature.

[0053] Specifically, the first energy consumption W generated by light emission during the arc drawing process can be calculated based on the light intensity change. light Based on the change in ambient temperature, calculate the second energy consumption W generated by heat release during arcing temp .W light With W temp The sum is the energy loss at the arcing location.

[0054] For example, the arcing position may be accurate to a certain energy storage battery pack Pack in the energy storage system, or may be accurate to a certain battery cluster Rack in the energy storage system.

[0055] S103: Calculating the actual battery state of charge at the location where the arcing occurs in the energy storage system based on the current battery state of charge and energy loss stored in the energy storage system.

[0056] The battery state of charge, that is, the ratio of the remaining power of the battery at a certain discharge rate to the rated capacity under the same conditions, can reflect the available state of the remaining charge in the battery and is generally expressed as a percentage.

[0057] Specifically, the current battery state of charge at the location where arcing occurs stored in the energy storage system can be first obtained; then, based on the current battery state of charge, the theoretical energy stored in the battery at the location where arcing occurs can be obtained, and the energy loss caused by arcing is not calculated in this theoretical energy; then, the energy loss caused by arcing is subtracted from the theoretical energy stored in the battery to obtain the actual energy stored in the battery at this time; finally, the battery state of charge can be recalculated based on the actual energy stored in the battery to obtain the actual battery state of charge at the location where arcing occurs after removing the influence of arcing.

[0058] Optionally, the energy loss may be first converted into a battery state of charge loss, and then the battery state of charge loss may be subtracted from the current battery state of charge to obtain the actual battery state of charge at the location where the arcing occurs.

[0059] Therefore, in the embodiment of the present application, first, the light intensity change and the ambient temperature change at the arcing location in the energy storage system during the arcing period are obtained; then, based on the light intensity change and the ambient temperature change, the energy loss at the arcing location is calculated; finally, based on the current battery state of charge and energy loss stored in the energy storage system at the arcing location, the actual battery state of charge at the arcing location in the energy storage system is calculated. Utilizing the characteristic that energy is lost mainly through light and heat release during the arcing process, the energy loss caused by the arcing is calculated based on the light intensity change and the ambient temperature change during the arcing period, and then the influence of the energy loss caused by the arcing is removed from the battery state of charge, and the battery state of charge at the arcing location is calculated more accurately. In the energy storage system, the battery state of charge of different battery clusters is more accurately reflected, thereby making the energy storage system more efficient, avoiding safety issues caused by inconsistent charge and discharge times between multiple battery clusters in the energy storage system, and improving the economy and safety of the energy storage system.

[0060] Optionally, before obtaining the light intensity change and the ambient temperature change at the arcing location in the energy storage system during the arcing period, the following steps may be performed:

[0061] S1: Obtain the number of times arcing occurs at multiple electrical connection points in the energy storage system within a preset test time.

[0062] Specifically, a test duration can be set in advance, for example, it can be 72 hours; then, the current waveform or voltage waveform of each electrical connection point within the test duration is obtained, and the number of arcing events at each electrical connection point is determined based on the current waveform or voltage waveform; the number of arcing events at each electrical connection point detected by the arc detection sensor within the test duration can also be obtained.

[0063] S2: Monitoring the light intensity and ambient temperature of the target electrical connection point where the number of arcing occurrences is greater than a preset first threshold.

[0064] Energy storage systems have numerous electrical connection points. When connected to loads and operating continuously, they are prone to failures such as insulation carbonization, short circuits, and air ionization, which can cause arcing. However, the probability of arcing varies from one electrical connection point to another. Monitoring light intensity and ambient temperature at every connection point would be costly, and monitoring light intensity and ambient temperature at points less prone to arcing would be a waste of resources.

[0065] In an embodiment of the present application, an electrical connection point where the number of arcing events is greater than a preset first threshold is used as a target electrical connection point. The light intensity and ambient temperature of the location with a higher probability of arcing can be selectively detected, thereby effectively utilizing the resources used for monitoring and saving costs.

[0066] Optionally, long-term arc detection data of different energy storage systems can be collected, and tools such as big data platforms can be used to analyze which electrical connection points have characteristics that are more prone to arcing, and the electrical connection points with corresponding characteristics can be directly used as target electrical connection points.

[0067] S3: Determine the arcing period based on the light intensity and ambient temperature of the target electrical connection point.

[0068] For example, a light intensity threshold and a temperature threshold can be pre-set, and the time period when the light intensity at the target electrical connection point exceeds the light intensity threshold and the ambient temperature exceeds the temperature threshold is determined as the arcing period. The light intensity threshold and the temperature threshold can be set based on the ambient light intensity and ambient temperature when no arcing occurs.

[0069] Optionally, the light intensity change rate and the ambient temperature change rate of the target electrical connection point can also be calculated. When arcing occurs, the level change rate and the ambient temperature change rate of the target electrical connection point will suddenly increase. Therefore, a first change rate threshold corresponding to the light intensity change rate and a second change rate threshold corresponding to the ambient temperature change rate can be set. If at a certain moment the light intensity change rate of the target electrical connection point is greater than the first change rate threshold and the ambient temperature change rate is greater than the second change rate threshold, then this moment can be used as the starting moment of the arcing period; after determining the starting moment of the arcing period, the target electrical connection point can continue to be monitored, and the moment when the light intensity of the target electrical connection point is reduced to the preset light intensity threshold is used as the end moment of the arcing period, thereby obtaining the arcing period.

[0070] Traditional arc detection sensors have many problems in terms of precision and accuracy. In addition, the frequency band fluctuations caused by current fluctuations in the energy storage system partially overlap with the arc frequency band, which will affect the arc detection sensor's judgment on whether arcing has occurred, and may cause failures such as energy storage system shutdown.

[0071] In the embodiments of the present application, since arcing releases a significant amount of light and heat, the light intensity and ambient temperature during the arcing period are typically much greater than those during periods when arcing is not occurring. Therefore, the light intensity and ambient temperature at the target electrical connection point can more accurately determine whether arcing has occurred at the detection location. Furthermore, the primary causes of energy loss due to arcing are light emission and heat release. Using the arcing period, determined based on the light intensity and ambient temperature at the target electrical connection point, allows for a more accurate calculation of the energy loss caused by arcing.

[0072] See also Figure 2 , this figure is a schematic diagram of a battery state of charge calculation device provided in an embodiment of the present application, the device includes: an acquisition module 201, an energy calculation module 202 and a battery state of charge calculation module 203.

[0073] The acquisition module 201 is used to acquire the light intensity change and the ambient temperature change at the arcing location in the energy storage system during the arcing period.

[0074] The energy calculation module 202 is used to calculate the energy loss at the arcing location based on the change in light intensity and the change in ambient temperature.

[0075] The battery state of charge calculation module 203 is used to calculate the actual battery state of charge at the arcing location in the energy storage system based on the current battery state of charge at the arcing location stored in the energy storage system and the energy loss.

[0076] Therefore, the energy loss caused by arcing can be calculated based on the change in light intensity and ambient temperature during the arcing period, and the influence of the energy loss caused by arcing can be removed from the battery state of charge. The battery state of charge at the arcing location can be calculated more accurately, and the difference in battery state of charge of different battery clusters in the energy storage system can be more accurately reflected, so that the energy storage system can achieve greater benefits, avoid safety problems caused by inconsistent charging and discharging times between multiple battery clusters in the energy storage system, and improve the economy and safety of the energy storage system.

[0077] Optionally, the acquisition module 201 may include a data acquisition unit and a variation calculation unit. The data acquisition unit is configured to acquire an average light intensity and an average ambient temperature at a location where arcing occurs in the energy storage system during a first period before arcing occurs, as well as an arcing light intensity and an arcing ambient temperature at the location where arcing occurs during the arcing period; and the variation calculation unit is configured to obtain a variation in light intensity and an ambient temperature at the location where arcing occurs in the energy storage system during the arcing period based on the average light intensity, the average ambient temperature, the arcing light intensity, and the arcing ambient temperature.

[0078] Optionally, the energy calculation module 202 may include a first calculation unit, a second calculation unit, and a loss calculation unit. The first calculation unit is configured to calculate a first energy consumption generated by light emission during the arcing process based on a change in light intensity; the second calculation unit is configured to calculate a second energy consumption generated by heat release during the arcing process based on a change in ambient temperature; and the loss calculation unit is configured to sum the first energy consumption and the second energy consumption to obtain the energy loss at the arcing location.

[0079] Optionally, the battery state of charge calculation device provided in the embodiment of the present application may further include: a monitoring module 204 for obtaining the number of arcing occurrences at multiple electrical connection points in the energy storage system within a preset test duration; and monitoring the light intensity and ambient temperature of the target electrical connection point where the number of arcing occurrences is greater than a preset first threshold.

[0080] Optionally, the battery state of charge calculation device provided in the embodiment of the present application may further include: a time period determination module 205, which is used to determine the arcing time period based on the light intensity and ambient temperature of the target electrical connection point.

[0081] See also Figure 3 , this figure is a schematic diagram of an energy storage system provided in an embodiment of the present application, the system including: multiple battery clusters Rack, a temperature sensor 301, a light intensity sensor 302 and a processor 303.

[0082] Among them, multiple battery clusters are connected in parallel; each battery cluster is equipped with at least one temperature sensor and at least one light intensity sensor; the output end of the temperature sensor and the output end of the light intensity sensor are both electrically connected to the input end of the processor, so that the processor can receive the ambient temperature signal monitored by the temperature sensor and the light intensity signal monitored by the light intensity sensor.

[0083] Specifically, the processor is used to receive the ambient temperature signal monitored by the temperature sensor and the light intensity signal monitored by the light intensity sensor, and execute the steps of the above-mentioned battery state of charge calculation method.

[0084] Optionally, in the energy storage system, the battery cluster Rack includes multiple energy storage battery packs Pack and a data acquisition unit SG.

[0085] Among them, multiple energy storage battery packs are connected in series; the data acquisition unit is connected in parallel with the multiple energy storage battery packs connected in series; the signal receiving end of the data acquisition unit is connected to the signal output end of the light intensity sensor and the signal output end of the temperature sensor; the signal output end of the data acquisition unit is connected to the signal receiving end of the processor.

[0086] Specifically, the data acquisition unit SG is used to obtain the light intensity signal monitored by the light intensity sensor and the ambient temperature signal monitored by the temperature sensor, and transmit the light intensity signal and the ambient temperature signal to the processor.

[0087] Optionally, the energy storage system may further include a BCP and a PCS, wherein multiple parallel battery clusters, the BCP and the PCS are connected in sequence, and the PCS is connected to the power grid.

[0088] Specifically, n battery cells connected in series or parallel form a battery pack, and m battery packs connected in series form a battery cluster. A storage system can have X battery clusters, where n, m, and X are all positive integers greater than 1. The X battery clusters in the energy storage system converge to the BCP, where the PCS performs DC / AC conversion and connects to the grid for operation.

[0089] See also Figure 4 This figure is a schematic diagram of another energy storage system provided by an embodiment of the present application. In this system, a data acquisition unit SG is connected in parallel with multiple energy storage battery packs connected in series via two electrical connection points. A light intensity sensor and a temperature sensor are provided within a range where the distance from the electrical connection points is less than a preset distance threshold.

[0090] For example, the electrical connection points between the data acquisition unit and the energy storage battery pack are prone to arcing. Therefore, a light intensity sensor and a temperature sensor can be installed near each electrical connection point to monitor the light intensity and ambient temperature at the corresponding location. For example, the preset distance threshold can be 5 cm.

[0091] See also Figure 5 , this figure is a schematic diagram of another energy storage system provided in an embodiment of the present application. In this system, a light intensity sensor and a temperature sensor are set at the center position of the data acquisition unit.

[0092] For example, a light intensity sensor and a temperature sensor are set at the center of the data acquisition unit SG, which can monitor the changes in light intensity and ambient temperature caused by arcing in the widest range with the least number of sensors connected, saving monitoring costs.

[0093] It should be noted that the various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device and system embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiments. The device and system embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components indicated as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of this embodiment. A person of ordinary skill in the art can understand and implement it without expending creative work.

[0094] The above is merely one specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of the present application. Therefore, the scope of protection of the present application should be based on the scope of protection of the claims.

Claims

1. A method for calculating a battery state of charge, characterized in that: The method comprises: Obtaining the light intensity change and ambient temperature change at the arcing location in the energy storage system during the arcing period; Calculating the energy loss at the arcing location based on the light intensity change and the ambient temperature change; Based on the current battery state of charge at the arcing location stored in the energy storage system and the energy loss, the actual battery state of charge at the arcing location in the energy storage system is calculated.

2. The method according to claim 1, characterized in that The calculating the energy loss at the arcing location based on the light intensity change and the ambient temperature change includes: Calculating a first energy consumption generated by light emission during arc drawing based on the light intensity variation; Calculating a second energy consumption generated by heat release during the arc drawing process based on the ambient temperature change; The first energy consumption and the second energy consumption are summed to obtain the energy loss at the arcing location.

3. The method according to claim 1, characterized in that The step of obtaining the light intensity change and the ambient temperature change at the arcing location in the energy storage system during the arcing period includes: Obtaining an average light intensity and an average ambient temperature at an arcing location in the energy storage system during a first time period when no arcing occurs, as well as an arcing light intensity and an arcing ambient temperature at the arcing location during an arcing time period; Based on the light intensity average, the ambient temperature average, the arcing light intensity and the arcing ambient temperature, the light intensity change and the ambient temperature change at the arcing location in the energy storage system within the arcing period are obtained.

4. The method according to any one of claims 1 to 3, characterized in that Before obtaining the light intensity change and the ambient temperature change at the arcing location in the energy storage system within the arcing period, the method further includes: Obtaining the number of times arcing occurs at each of multiple electrical connection points in the energy storage system within a preset test time; The light intensity and the ambient temperature of the target electrical connection point where the number of arcing occurrences is greater than a preset first threshold are monitored.

5. The method according to claim 4, characterized in that After monitoring the light intensity and ambient temperature of the target electrical connection point where the number of arcing occurrences is greater than a preset first threshold, the method further includes: The arcing period is determined based on the light intensity and the ambient temperature of the target electrical connection point.

6. A battery state of charge calculation device, characterized in that: The device includes: an acquisition module, an energy calculation module and a battery state of charge calculation module; The acquisition module is used to obtain the light intensity change and the ambient temperature change at the arcing location in the energy storage system during the arcing period; The energy calculation module is used to calculate the energy loss at the arcing location based on the light intensity change and the ambient temperature change; The battery state of charge calculation module is used to calculate the actual battery state of charge at the arcing location in the energy storage system based on the current battery state of charge at the arcing location stored in the energy storage system and the energy loss.

7. An energy storage system, characterized in that: The system includes: a plurality of battery clusters, a temperature sensor, a light intensity sensor and a processor; The multiple battery clusters are connected in parallel; each battery cluster is provided with at least one temperature sensor and at least one light intensity sensor; the output end of the temperature sensor and the output end of the light intensity sensor are both electrically connected to the input end of the processor; The processor is configured to receive the ambient temperature signal monitored by the temperature sensor and the light intensity signal monitored by the light intensity sensor, and execute the steps of the battery state of charge calculation method according to any one of claims 1 to 5.

8. The system according to claim 7, characterized in that The battery cluster includes a plurality of energy storage battery packs and a data acquisition unit; The multiple energy storage battery packs are connected in series; the data acquisition unit is connected in parallel with the multiple energy storage battery packs connected in series; the signal receiving end of the data acquisition unit is connected to the signal output end of the light intensity sensor and the signal output end of the temperature sensor; the signal output end of the data acquisition unit is connected to the signal receiving end of the processor; The data acquisition unit is used to obtain the light intensity signal monitored by the light intensity sensor and the ambient temperature signal monitored by the temperature sensor, and transmit the light intensity signal and the ambient temperature signal to the processor.

9. The system according to claim 8, characterized in that The data acquisition unit is connected in parallel with the multiple energy storage battery packs connected in series via two electrical connection points. A light intensity sensor and a temperature sensor are provided within a range where the distance from the electrical connection points is less than a preset distance threshold.

10. The system according to claim 8, wherein: A light intensity sensor and a temperature sensor are arranged at the center of the data acquisition unit.

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