Charging and discharging state detection method and device, electronic equipment, storage medium and product

Abstract

The embodiment of the invention provides a charging and discharging state detection method and device, electronic equipment, a storage medium and a product, and the method comprises the steps: obtaining a plurality of data features, each data feature being used for indicating the charging and discharging state of energy storage equipment; according to the plurality of data features, obtaining a plurality of judgment results for judging the charging and discharging state of the energy storage device, the plurality of judgment results being in one-to-one correspondence with the plurality of data features; acquiring a first number of the plurality of judgment results with the judgment result being a charging state and a second number of the plurality of judgment results with the judgment result being a discharging state; and determining the target state of the energy storage equipment according to the state indicated by the judgment result of the large number in the first number and the second number.

Description

Technical Field

[0001] The present application relates to the technical field of energy management systems and energy storage equipment management, and in particular to methods, devices, electronic equipment, storage media and products for detecting charging and discharging states. Background Art

[0002] With the rapid development of renewable energy and the advancement of smart grid construction, energy storage technology has received widespread attention as a key link in balancing power supply and demand and improving energy efficiency. However, traditional monitoring methods based on current and voltage are difficult to accurately judge the actual charging and discharging status of energy storage equipment when faced with complex working conditions, such as temperature changes and load fluctuations. Summary of the invention

[0003] The embodiments of the present application provide a charge and discharge status detection method, device, electronic device, storage medium and product, which can comprehensively analyze multiple parameters and improve the detection accuracy of the charge and discharge status of energy storage equipment.

[0004] The first aspect of the present application provides a method for detecting a charge and discharge state, the method comprising:

[0005] Obtaining a plurality of data features, each data feature being used to indicate a charge and discharge state of an energy storage device;

[0006] According to the multiple data features, multiple judgment results for judging the charge and discharge state of the energy storage device are obtained, wherein the multiple judgment results correspond to the multiple data features one by one;

[0007] Obtaining a first number of the plurality of judgment results indicating a charging state and a second number of the plurality of judgment results indicating a discharging state;

[0008] The target state of the energy storage device is determined according to the state indicated by the judgment result of the larger number between the first number and the second number.

[0009] In some possible embodiments, the multiple data features include: multiple first-type data features and multiple second-type data features, the multiple first-type data features are data features obtained at different times within a preset time period, and the multiple second-type data features are data features obtained according to changes in the multiple first-type data features within the preset time period. The multiple judgment results for judging the charge and discharge state of the energy storage device obtained based on the multiple data features include:

[0010] Obtaining a first judgment result for judging the charge and discharge state of the energy storage device according to the plurality of first-type data features, wherein the first judgment result corresponds one-to-one to the plurality of first-type data features;

[0011] Obtaining a second judgment result for judging the charge and discharge state of the energy storage device according to the plurality of second-type data features, wherein the second judgment result corresponds one-to-one to the plurality of second-type data features;

[0012] The plurality of judgment results include a plurality of the first judgment results and a plurality of the second judgment results.

[0013] In some possible embodiments, determining the target state of the energy storage device according to the state indicated by the judgment result of the larger number between the first number and the second number includes:

[0014] Acquire a third number of the first judgment results whose judgment results are the charging state and a fourth number of the first judgment results whose judgment results are the discharging state;

[0015] acquiring, among the plurality of second judgment results, a fifth number of the judgment results of the charging state and a sixth number of the judgment results of the discharging state;

[0016] Determining, according to the state indicated by the first judgment result having a larger number among the third number and the fourth number, that the target state of the energy storage device corresponding to the plurality of first-type data features is a first state;

[0017] Determining, according to the state indicated by the second judgment result which is larger among the fifth number and the sixth number, that the target state of the energy storage device corresponding to the plurality of second type data features is a second state;

[0018] If the target states of the energy storage device corresponding to the first state and the second state are the same, the target state of the energy storage device is the first state or the second state; if the target states of the energy storage device corresponding to the first state and the second state are different, the multiple first type data features and the multiple second type data features are deleted.

[0019] In some possible embodiments, the multiple first-type data features include: active electric energy, active power, current, temperature, and state of charge SOC, wherein active electric energy includes positive active electric energy and reverse active electric energy; the first judgment result of judging the charge and discharge state of the energy storage device according to the multiple first-type data features includes:

[0020] Acquire a preset condition, wherein the preset condition includes a threshold value or a change condition corresponding to each of the plurality of first-type data features in a discharge state; the preset condition is: the forward active electric energy increases, and / or the active power is less than a preset threshold value, and / or the current is less than a preset threshold value, and / or the temperature increases, and / or the SOC decreases;

[0021] The preset conditions also include thresholds or changes corresponding to each of the plurality of first-type data features in the charging state; the preset conditions are: the reverse active electric energy increases, and / or the active power is greater than a preset threshold, and / or the current is positive, and / or the temperature remains unchanged, and / or the SOC increases;

[0022] A first judgment result of judging the charging and discharging state of the energy storage device is obtained through the preset condition.

[0023] In some possible embodiments, the active power includes: a first active power and a second active power, wherein: the first active power is used to indicate the charge and discharge state of the energy storage device measured by an electric meter, and the second active power is used to indicate the charge and discharge state of the energy storage device measured by an energy storage converter;

[0024] The plurality of second-type data features include a charge-discharge state identification variable, a temperature change rate, and an SOC change rate, wherein: the charge-discharge state identification variable is a data feature jointly constituted by the forward active power or the reverse active power, the first active power, the second active power, and the current in the plurality of first-type data features;

[0025] Among them, when the reverse active electric energy value increases, and the first active power, the second active power, and the current are all less than a preset threshold, the charge and discharge state identification variable indicates the charging state.

[0026] In some possible embodiments, obtaining a second judgment result for judging the charging and discharging state of the energy storage device according to the plurality of second-type data features includes:

[0027] Acquire a preset condition, wherein the preset condition includes a threshold value or a change condition corresponding to each of the plurality of second-type data features in the discharge state; the preset condition is: the positive active electric energy value in the charge-discharge state identification variable increases, and the first active power, the second active power, and the current are all greater than a preset threshold value, and / or the temperature change rate is greater than a preset threshold value, and / or the SOC change rate is less than a preset threshold value;

[0028] The preset condition also includes a threshold value or change corresponding to each of the plurality of second-type data features in the charging state; the preset condition is: the reverse active electric energy value in the charge and discharge state identification variable increases, and the first active power, the second active power, and the current are all less than a preset threshold value, the energy storage device is in a charging state, and / or the temperature change rate remains unchanged, and / or the SOC change rate is greater than a preset threshold value;

[0029] A second judgment result for judging the charging and discharging state of the energy storage device is obtained through the preset condition.

[0030] In some possible embodiments, the plurality of second-type data features further include a power state, and the power state includes a power balance state or a power imbalance state, wherein:

[0031] When the difference between the charging power of the first active power and the discharging power of the second active power at the same time is less than or equal to a preset value, the power state is the power balance state;

[0032] Before obtaining multiple judgment results for judging the charging and discharging state of the energy storage device according to the multiple data features, the method further includes:

[0033] Determining whether the power state is a power balance state;

[0034] If the power state is the power balance state, obtaining multiple judgment results for judging the charge and discharge state of the energy storage device according to the multiple data features;

[0035] If the power state is the power imbalance state, the data feature at the corresponding time is deleted.

[0036] In some possible embodiments, the method further includes:

[0037] Preprocessing the data features; the preprocessing includes: standardizing the data features and removing abnormal data points;

[0038] The prediction result is obtained through the time series prediction model, and the prediction result is the target charging and discharging state of the energy storage device in the future time period.

[0039] In some possible embodiments, the energy storage device includes a display, and after obtaining the prediction result, the method includes:

[0040] The prediction result is outputted through the display, and the prediction result is used to indicate the change of the target charging and discharging state of the energy storage device over time.

[0041] A second aspect of the present application provides a charge and discharge state detection device, including:

[0042] A data acquisition module, which obtains a plurality of data features, each of which is used to indicate the charge and discharge status of the energy storage device;

[0043] The data processing module is used to obtain multiple judgment results for judging the charging and discharging state of the energy storage device according to the multiple data features, and the multiple judgment results correspond to the multiple data features one by one; obtain a first number of the judgment results of the charging state and a second number of the judgment results of the discharging state among the multiple judgment results; and determine the target state of the energy storage device according to the state indicated by the judgment result with a larger number between the first number and the second number.

[0044] A third aspect of the present application provides an electronic device, including:

[0045] processor;

[0046] a memory for storing instructions executable by the processor;

[0047] The processor is configured to execute the instructions to implement a charging and discharging state detection method as described in any one of the embodiments of the first aspect of the present application.

[0048] The fourth aspect of the present application provides a storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of a charge and discharge status detection method described in any one of the embodiments of the first aspect of the present application are implemented.

[0049] The fifth aspect of the present application provides a computer program product, when the computer program product is run on a computer, so that the computer performs the steps of a charge and discharge state detection method as described in any one of the embodiments of the first aspect of the present application.

[0050] The technical solution provided by the embodiment of the present application includes at least the following beneficial effects:

[0051] By collecting multiple data features of energy storage devices, the charging and discharging status of the device can be comprehensively analyzed. Each data feature is used to indicate the charging and discharging status of the energy storage device; based on the multiple data features, multiple judgment results for judging the charging and discharging status of the energy storage device are obtained, and the multiple judgment results correspond to the multiple data features one by one; the first number of the multiple judgment results for the charging status and the second number of the multiple judgment results for the discharging status are obtained; based on the status indicated by the larger number of the first number and the second number, the target state of the energy storage device is determined. This multi-parameter comprehensive analysis method can provide more comprehensive information on the status of the energy storage device and improve the accuracy of monitoring the charging and discharging status. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 A schematic diagram of an application scenario of a charge and discharge status detection method proposed in an embodiment of the present application;

[0053] Figure 2 A schematic flow chart of a charge and discharge state detection method proposed in an embodiment of the present application;

[0054] Figure 3 Another flow chart of a charge and discharge state detection method proposed in an embodiment of the present application;

[0055] Figure 4 Another flow chart of a charge and discharge state detection method proposed in an embodiment of the present application;

[0056] Figure 5 Another flow chart of a charge and discharge state detection method proposed in an embodiment of the present application;

[0057] Figure 6 A schematic diagram of the structure of a device for a charge and discharge state detection method proposed in an embodiment of the present application;

[0058] Figure 7 A schematic diagram of the structure of an electronic device for a charge and discharge status detection method proposed in an embodiment of the present application. DETAILED DESCRIPTION

[0059] The technical solutions in the embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0060] In order to facilitate the clear description of the technical solutions of the embodiments of the present application, in the embodiments of the present application, the words "first" and "second" are used to distinguish the same items or similar items with substantially the same functions and effects. For example, the first instruction and the second instruction are to distinguish different user instructions, and their order is not limited. Those skilled in the art can understand that the words "first" and "second" do not limit the quantity and execution order, and the words "first" and "second" do not necessarily limit them to be different.

[0061] It should be noted that, in the embodiments of the present application, words such as "exemplarily" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "exemplarily" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplarily" or "for example" is intended to present related concepts in a specific way.

[0062] In addition, "at least one" means one or more, and "plurality" means two or more. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone, where A and B can be singular or plural. The character " / " generally indicates that the previous and next associated objects are in an "or" relationship. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b and c can mean: a, or b, or c, or a and b, or a and c, or b and c, or a, b and c, where a, b, c can be single or multiple.

[0063] It should be noted that in the embodiments of the present application, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "includes a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

[0064] With the rapid development of renewable energy and the advancement of smart grid construction, energy storage technology has received widespread attention as a key link in balancing electricity supply and demand and improving energy utilization efficiency. However, the existing energy storage system monitoring and management technology still has defects, which limits its performance optimization and service quality improvement. First of all, the traditional monitoring method based on current and voltage is difficult to accurately judge the actual charging and discharging status of energy storage equipment when facing complex working conditions, such as temperature changes and load fluctuations. This monitoring error not only affects the operating efficiency of the energy storage system, but may also cause overcharging or over-discharging, thereby damaging the life of the equipment. In addition, most existing energy storage monitoring systems mainly focus on the changing trend of a single parameter, while ignoring the interaction between multiple factors. This one-sided analysis method is difficult to fully reflect the actual working conditions of the energy storage equipment, limiting the possibility of system optimization. In summary, the existing energy storage system monitoring and management technology faces the problem of lack of comprehensive analysis of multiple parameters and insufficient detection accuracy.

[0065] In view of the above problems, an embodiment of the present application proposes a method for detecting the charging and discharging status of an energy storage device, which obtains more accurate charging and discharging status detection and judgment through comprehensive multi-parameter analysis.

[0066] For example, Figure 1 This is a schematic diagram of an application scenario of an embodiment of the present application, as shown in the figure, including: an energy storage device 101, an electric meter 102, and an energy storage converter 103, wherein the energy storage device 101 includes a display 1011.

[0067] In the embodiment of the present application, in the application scenario of the embodiment of the present application, the energy storage device 101 is used as a core component to store energy when there is an oversupply of electricity and release energy in the case of peak demand or power outage. The device can be in various forms, such as a battery system, a flywheel or a compressed air system. The energy storage device 101 is equipped with a display 1011 for intuitively presenting information related to the energy storage status, including the current power level, the charge and discharge status, and any possible fault alarms, so that the user can monitor the energy storage status in real time.

[0068] In addition, the system also includes an electric meter 102, which is responsible for measuring and recording the electric energy entering and leaving the energy storage system, whether it is energy obtained from the power grid or energy output to the power grid or load, ensuring the transparency of energy use and accurate billing. In order to achieve efficient connection between energy storage equipment and the power grid or other electrical loads, the energy storage inverter 103 plays a key role. The energy storage inverter is responsible for the conversion between AC and DC, which not only supports the charging and discharging process of the energy storage device, but also optimizes energy management and improves the operating efficiency and stability of the entire system.

[0069] Exemplarily, the electric meter and the energy storage converter may be connected to the energy storage device by wired communication or by wireless communication.

[0070] The following is an introduction to how to determine the charge and discharge status of an energy storage device as proposed in an embodiment of the present application.

[0071] In some possible embodiments, Figure 2 A charging and discharging state detection method proposed in an embodiment of the present application determines the charging and discharging state of an energy storage device by executing the following steps:

[0072] Step 201: obtaining multiple data features;

[0073] For example, multiple data features can be obtained through sensors. The selection of sensors is based on the characteristics of the energy storage device and monitoring requirements, and appropriate current sensors, voltage sensors, temperature sensors, etc. are selected. The sensors should have the characteristics of high precision, high reliability and fast response. Sensors are deployed at key locations of energy storage devices, such as the positive and negative poles of the battery pack, temperature sensitive points, etc., to ensure that the operating data of the equipment can be accurately collected, providing a data basis for accurately judging the charging and discharging status of the energy storage device.

[0074] After the data features within a preset time period are collected by sensors, they should be selected to select the features most relevant to the charging and discharging status of the energy storage device and ensure that these data are transmitted to the cloud storage platform for long-term storage and backup.

[0075] Exemplarily, the collected data features can be sorted from large to small in importance, and each data feature can be assigned a corresponding weight. A data feature with a larger weight indicates that the data feature has a higher impact on the charging and discharging state, such as charging power, discharging power, and so on.

[0076] In addition to the data features collected by the sensor, the embodiment of the present application can also form a new changing data feature through the data features with the highest weight among the collected data features, and the two are used together to determine the charging and discharging status of the energy storage device.

[0077] For example, the charging power constitutes the charging power change rate, which is the average charging power change rate in a preset time period, that is, the slope of the charging power change over time. If the charging power change rate during this period is positive (i.e., the charging power increases), it indicates that the energy storage device is in a charging state; if the charging power change rate is negative (i.e., the charging power decreases), this may indicate that the charging process has ended or has turned to other operating modes, but it cannot be directly determined as a discharging state because the charging rate may also slow down.

[0078] Exemplarily, the discharge power constitutes the characteristic of the discharge power change rate, and the discharge power change rate is the average discharge power change rate within a preset time period. If the discharge power change rate during this period is positive (i.e., the discharge power increases), it indicates that the energy storage device is accelerating discharge and the energy storage device is in a discharge state; if the discharge power change rate is negative (i.e., the discharge power decreases), it means that the discharge rate slows down, but this does not directly mean that it has entered a charging state, because it is also possible that the discharge process is nearing the end or the load demand is reduced.

[0079] Step 202: obtaining multiple judgment results for judging the charge and discharge state of the energy storage device according to the multiple data features;

[0080] In order to comprehensively analyze multiple data features and provide more comprehensive energy storage device status information, in the embodiment of the present application, each data feature corresponds to the charging and discharging status of an energy storage device.

[0081] Step 203: Obtain a first number of judgment results indicating a charging state and a second number of judgment results indicating a discharging state from among the plurality of judgment results;

[0082] Step 204: Determine a target state of the energy storage device according to a state indicated by a judgment result of a larger number between the first number and the second number.

[0083] The energy storage states corresponding to the plurality of data features are statistically obtained as the discharging state and the number of the charging state. If the number of the charging state is greater than the number of the discharging state, it is determined that the energy storage device is in the charging state, otherwise it is determined to be in the discharging state.

[0084] The multiple data features obtained in step 201 include two types of data features: multiple first-type data features and multiple second-type data features. The multiple first-type data features are data features obtained at different times within a preset time period, and the multiple second-type data features are data features obtained based on changes in the multiple first-type data features within the preset time period.

[0085] In some embodiments, for example, the energy storage state can be judged for two types of data features respectively, and then the target charge and discharge state of the energy storage device can be judged according to the relationship between the charge quantity and the discharge quantity. In step 202, multiple judgment results for judging the charge and discharge state of the energy storage device are obtained according to the multiple data features, including:

[0086] Obtaining a first judgment result for judging the charge and discharge state of the energy storage device according to the plurality of first-type data features, wherein the first judgment result corresponds one-to-one to the plurality of first-type data features;

[0087] Obtaining a second judgment result for judging the charge and discharge state of the energy storage device according to the plurality of second-type data features, wherein the second judgment result corresponds one-to-one to the plurality of second-type data features;

[0088] The plurality of judgment results include a plurality of the first judgment results and a plurality of the second judgment results.

[0089] Exemplarily, in the embodiment of the present application, the judgment results corresponding to the two types of data features can also be judged separately, that is, the relationship between the charging quantity and the discharging quantity corresponding to multiple first-type data features and multiple second-type data features is used to judge whether the target charge and discharge state corresponding to the first data of the energy storage device is the same as the target charge and discharge state corresponding to the second data to determine the final target charge and discharge state of the energy storage device.

[0090] For example, Figure 3 There is a detailed execution step for the embodiment of this application:

[0091] Step 301: obtaining a third number of the first judgment results whose judgment results are the charging state and a fourth number of the first judgment results whose judgment results are the discharging state;

[0092] Step 302: obtaining a fifth number of the second judgment results whose judgment results are the charging state and a sixth number of the second judgment results whose judgment results are the discharging state;

[0093] Step 303: Determine that the target state of the energy storage device corresponding to the plurality of first-type data features is a first state according to the state indicated by the first judgment result having a larger number among the third number and the fourth number;

[0094] Step 304: Determine that the target state of the energy storage device corresponding to the plurality of second-type data features is a second state according to the state indicated by the second judgment result having a larger number among the fifth number and the sixth number;

[0095] Step 305: If the target state of the energy storage device corresponding to the first state and the second state is the same, the target state of the energy storage device is the first state or the second state;

[0096] Step 306: If the target states of the energy storage device corresponding to the first state and the second state are different, the plurality of first-type data features and the plurality of second-type data features are deleted.

[0097] In order to better understand the above steps, the present application embodiment illustrates this process through two specific examples. The "first judgment result" and the "second judgment result" are judgments on the state (charging or discharging) of the energy storage device based on different types of data features (multiple first type data features and multiple second type data features).

[0098] When analyzing the state of the energy storage device, firstly, a first judgment result is obtained based on multiple first-type data features obtained by the sensor, assuming that the charging state appears 3 times and the discharging state appears 7 times; then, a second judgment result is obtained based on the second data, assuming that the charging state appears 5 times and the discharging state appears 8 times. According to these data, in step 301, it is determined that the third number of charging states in the first judgment result is 3 times, and the fourth number of discharging states is 7 times; and in step 302, the fifth number of charging states in the second judgment result is 5 times, and the sixth number of discharging states is 8 times. Since the number of times of the discharging state is large in the first judgment result, that is, the fourth number is greater than the third number (7 times is greater than 3 times), it is determined in step 303 that the target state corresponding to the multiple first-type data features is discharge. Similarly, the number of times of the discharging state is also large in the second judgment result, that is, the sixth number is greater than the fifth number (8 times is greater than 5 times), so in step 304, it is determined that the target state corresponding to the multiple second-type data features is also discharge. Finally, in step 305, because both the first state and the second state point to discharge, it is finally determined that the target state of the energy storage device is the discharge state.

[0099] In another example, based on multiple first-type data features, the energy storage device is in the third quantity charging state 9 times, and the fourth quantity discharging state 1 time; because the number of times the discharging state is greater in the first judgment result, that is, the fourth number is greater than the third number (9 times is greater than 1 time), then, based on multiple second-type data features, the energy storage device is in the discharging state 2 times, and the number of times the charging state is 2 times. That is, the fifth number is the same as the sixth number, that is, in step 304, it is not possible to clearly determine the target state corresponding to the multiple second-type data features according to the size relationship of the quantity. Since the first state (charging) is inconsistent with the second state (discharging), in step 306, illustratively, multiple first-type data features and multiple second-type data features should be deleted according to regulations, which means that in this case there is no clear consistent state judgment, and it may be necessary to further investigate the cause or adopt other methods to determine the true state of the energy storage device.

[0100] Exemplarily, when the first state (charging) is inconsistent with the second state (discharging), the feature importance of multiple second-type data features can be judged according to the weights of multiple first-type data features, and the data features with less influence on the judgment result can be discarded to obtain the final target charging and discharging state.

[0101] The above two examples show how to determine the target state of the energy storage device based on the statistical results of the charging / discharging state in different time periods, and take corresponding processing measures when the state judgment is inconsistent.

[0102] In some embodiments, the multiple first-type data features include at least: active power, active power, current, temperature, and state of charge (SOC), wherein active power includes positive active power and reverse active power. Exemplarily, positive active power is used to indicate the discharge state, and reverse active power is used to indicate the charge state. How to obtain the first judgment result of the charge and discharge state of the energy storage device based on the multiple first-type data features? To obtain the first judgment result, it is necessary to obtain the preset conditions in advance:

[0103] The preset condition includes a threshold value or a change condition corresponding to each of the plurality of first-type data features in the discharge state; the preset condition is: the forward active electric energy increases, and / or the active power is less than a preset threshold value, and / or the current is less than a preset threshold value, and / or the temperature increases, and / or the SOC decreases;

[0104] The preset condition also includes a threshold value or change condition corresponding to each of the plurality of first type data features in the charging state; the preset condition is: the reverse active electric energy increases, and / or the active power is greater than a preset threshold, and / or the current is positive, and / or the temperature remains unchanged, and / or the SOC increases;

[0105] Exemplarily, the preset threshold may be 0.

[0106] The first judgment result for judging the charging and discharging state of the energy storage device is obtained through the preset conditions. That is to say, when the above conditions are met, any preset condition can obtain the first judgment result for judging the charging and discharging state of the energy storage device, and the first judgment result includes the charging state and the discharging state.

[0107] According to the above embodiment, the multiple second-type data features are data features obtained according to the changes of the multiple first-type data features within the preset time period, and the multiple second-type data features include a charge-discharge state identification variable, a temperature change rate, and an SOC change rate, wherein: the charge-discharge state identification variable is a data feature jointly constituted by the forward active power or the reverse active power, the first active power, the second active power, and the current in the multiple first-type data features;

[0108] Among them, when the reverse active electric energy value increases, and the first active power, the second active power, and the current are all less than a preset threshold, the charge and discharge state identification variable indicates the charging state.

[0109] Then how to obtain the second judgment result of judging the charging and discharging state of the energy storage device according to the multiple second type data features? To obtain the second judgment result, it is necessary to obtain the preset conditions in advance:

[0110] The preset condition includes a threshold value or a change condition corresponding to each of the plurality of second-type data features in the discharge state; the preset condition is: the positive active electric energy value in the charge-discharge state identification variable increases, and the first active power, the second active power, and the current are all greater than a preset threshold value, and / or the temperature change rate is greater than a preset threshold value, and / or the SOC change rate is less than a preset threshold value;

[0111] The preset condition also includes a threshold value or change corresponding to each of the plurality of second-type data features in the charging state; the preset condition is: the reverse active electric energy value in the charge and discharge state identification variable increases, and the first active power, the second active power, and the current are all less than a preset threshold value, the energy storage device is in a charging state, and / or the temperature change rate remains unchanged, and / or the SOC change rate is greater than a preset threshold value;

[0112] A second judgment result for judging the charging and discharging state of the energy storage device is obtained through the preset condition.

[0113] In the embodiment of the present application, the preset threshold may be 0.

[0114] When the energy storage device is in a charging state, the temperature rate may remain unchanged or be a value close to zero.

[0115] In some embodiments, multiple second type data features also include: power state, the power state includes a power balance state or a power imbalance state, wherein: the power state is whether the difference between the first active power and the second active power in the multiple first type data features is within a preset range. If it is within the preset range, it is a power balance state, and if the difference between the two is not within the preset range, it is a power imbalance state.

[0116] When the difference between the charging power of the first active power and the discharging power of the second active power at the same time is less than or equal to the preset value, the power state is the power balance state; wherein the first active power is used to indicate the charging and discharging state measured by the electric meter of the energy storage device, and the second active power is used to indicate the charging and discharging state measured by the energy storage converter of the energy storage device.

[0117] Exemplarily, the preset value can be a value, such as 5, or a range such as 5 to 10. In the embodiment of the present application, the difference between the first active power and the second active power at the same time is calculated to evaluate the power balance state of the system. If the values ​​of the two are less than a preset value or the lower limit value of the preset range, it means that the energy storage device is charging and discharging normally, and subsequent operations can continue. If the values ​​of the two are greater than the upper limit of the range of 5 to 10, it means that the power is unbalanced and there is a problem with charging and discharging. A series of steps need to be taken, such as Figure 4 Step 403 in .

[0118] For example, Figure 4 As shown, before obtaining multiple judgment results for judging the charge and discharge state of the energy storage device according to the multiple data features in step 202, the method steps further include:

[0119] Step 401: Determine whether the power state is a power balance state;

[0120] If the power state is the power balance state,

[0121] Step 402: obtaining multiple judgment results for judging the charging and discharging state of the energy storage device according to the multiple data features;

[0122] If the power state is the power imbalance state, execute step 403 .

[0123] Step 403: Delete the data feature at the corresponding moment, delete other features at the power imbalance moment, and then obtain updated data features, and obtain multiple judgment results for judging the charging and discharging state of the energy storage device based on the updated data features.

[0124] In some possible embodiments, the plurality of second-type data features may further include: current direction; relationship between temperature and SOC; time series; extreme current indicator variables; power thresholds for charging and discharging. The plurality of first-type data features include: active power, active power, current, temperature, state of charge SOC, wherein active power includes forward active power and reverse active power;

[0125] Exemplarily, the current direction is obtained by obtaining the difference of current data within a preset time period from multiple first-type data features. If the difference is positive, it means that the current direction is flowing toward the energy storage device, which is further judged as a charging state. The relationship between temperature and SOC is the product of the temperature corresponding to multiple first-type data features at a certain moment and SOC / 100. The extreme current indicator variable is obtained by setting an extreme current threshold and comparing it with the current obtained from the multiple first-type data features. For example, if the current exceeds the extreme current, an alarm message is displayed. The power thresholds for charging and discharging are to set the discharge power threshold and the charging power threshold at the same time to judge the charging and discharging state, wherein the second active power in the multiple first-type data features is compared with the preset threshold to constitute the feature, that is, the charging power and discharging power obtained by the energy storage converter.

[0126] Exemplarily, the following steps and methods may be taken to judge the charge and discharge state of the energy storage device by using multiple second-type data features (including current direction, relationship between temperature and SOC, time series, extreme current indicator variables, and power thresholds for charging and discharging) further constructed from multiple first-type data features:

[0127] The direction of current is one of the most intuitive indicators. If the current flows from the external power source into the battery, the device is in the charging state; if the current flows from the battery to the load, the device is in the discharging state. For example, a Hall effect sensor or a shunt resistor can be used to measure the current direction.

[0128] The relationship between temperature and SOC can also assist in determining the charge and discharge status. Additional information can be provided by monitoring the changing trends of battery temperature and SOC. For example, if the SOC is observed to rise and the temperature remains basically unchanged, it is likely to be a charging state; conversely, if the SOC drops and the temperature changes greatly, it may be a discharging state. This is because the battery temperature tends to rise slightly during charging, while the temperature may drop or remain stable during discharge.

[0129] Time series analysis can help identify the trend of SOC changes over time. By continuously monitoring the SOC changes over a period of time, it can be found that the SOC tends to increase during charging and decrease during discharging. Using a time series model (such as an autoregressive integrated moving average model) or a simple linear regression model to predict future SOC trends can also help determine whether the current state is charging or discharging.

[0130] The extreme current indicator variable is another important feature, where extreme current usually refers to a large current that exceeds the normal range. In the charging state, a large positive current may appear; in the discharging state, a large negative current may appear. Set a threshold to detect the extreme current and combine the current direction to determine the charge and discharge state.

[0131] The power thresholds for charging and discharging refer to the preset limits of charging and discharging power. If the actual power exceeds the set charging power threshold and the current flows from the external power source to the battery, it can be judged as a charging state; if the actual power exceeds the set discharging power threshold and the current flows from the battery to the load, it can be judged as a discharging state.

[0132] In the embodiments of the present application, all of the above features can be combined for comprehensive judgment. For example, if the current direction is shown as flowing into the battery, the temperature remains basically unchanged, the SOC increases, and the power exceeds the charging power threshold, then it can be determined with certainty that the energy storage device is in a charging state. Similarly, if the current direction is shown as flowing out of the battery, the temperature changes greatly, the SOC decreases, and the power exceeds the discharge power threshold, then it can be determined that the energy storage device is in a discharging state.

[0133] This multi-dimensional analysis method can improve the accuracy of judging the charging and discharging status of energy storage devices. In practical applications, it may be necessary to adjust the threshold and algorithm parameters in combination with specific application scenarios and device characteristics to ensure the best judgment effect. This method not only improves the accuracy of judgment, but also enhances the robustness and reliability of the system.

[0134] In some embodiments, Figure 2 The method for detecting the charge and discharge status of an energy storage device also includes: Figure 5 Steps:

[0135] Step 501: preprocessing the data features, wherein the preprocessing includes: standardizing the data features and removing abnormal data points;

[0136] For example, in the embodiment of the present application, the Z-score standardization method is used to standardize the data to ensure that the dimension and value range of the feature are consistent and reduce the impact of abnormal data. The data is converted to a distribution with a mean of 0 and a standard deviation of 1. The calculation formula for Z-score standardization is:

[0137] Z=(X-μ) / σ, (1)

[0138] Where X is each data point in the data feature, μ is the mean of the data feature, and σ is the standard deviation. After the data is standardized, multiple groups of standardized Z value matrices can be obtained, and abnormal data points can be removed while using Z = (X-μ) / σ standardization.

[0139] In order to identify and exclude outliers, a threshold is usually set, that is, a preset range. This preset range is usually determined based on multiples of the standard deviation.

[0140] Exemplarily, the preset range is set to 3σ. If |X-μ|>3σ, the data point in the data feature is removed. After excluding the outliers, the remaining normal data points are used for data operations to recalculate the mean μ and standard deviation of the remaining data to obtain a Z matrix without outliers.

[0141] In this way, each set of data is standardized and outliers are excluded, thereby improving the quality and consistency of the data. The preset range is usually set to 3 standard deviations, which is a common and reasonable choice, but in specific applications, it can be adjusted according to data characteristics and actual needs.

[0142] The steps after preprocessing also include dividing the Z value matrix into training set and test set. Since the selected data is standard two-charge and two-discharge energy storage device data, the standardized data set can be divided into training set and test set according to time (such as morning and afternoon). This ensures that the model has good generalization ability in different time periods.

[0143] Step 502: Obtain prediction results through the time series prediction model.

[0144] The Z value matrix of the training set corresponding to the data features is used as input, and the result is the charging state or the discharging state as output to train the time series prediction model, and the performance of the model is evaluated on the test set. Through the training of the standard data set and the test data set, and the input calibration of the prior knowledge feature data set, the performance of the model can be optimized, and a time series model that can accurately predict the charging and discharging state of the energy storage device is constructed, wherein the prior feature data set is the charging and discharging state relationship of the energy storage device corresponding to the pre-acquired data features. In the embodiment of the present application, it can be a first judgment result corresponding to multiple first-type data features and a second judgment result corresponding to multiple second-type data features. The first judgment result and the second judgment result are the charging and discharging states corresponding to different data features. The prediction result is obtained and fed back in time, so that when the state of the energy storage device changes, the operation and maintenance personnel can obtain timely feedback on the charging and discharging state information, reducing manpower input for judgment.

[0145] In some embodiments, in order to help the user intuitively understand the output of the model, the prediction result is output through a display, and the prediction result is used to indicate the change of the target charge and discharge state of the energy storage device over time.

[0146] For example, a line graph may be used to display the predicted change of the charge and discharge state over time, or a table may be used to intuitively reflect the charge and discharge state.

[0147] It should be understood that although Figure 2-5 The steps in the flowchart are shown in sequence as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified in this document, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders. Moreover, Figure 2-5 At least part of the steps may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed in turn or alternately with other steps or at least part of the sub-steps or stages of other steps.

[0148] In some embodiments, the charging and discharging status detection method proposed in the embodiments of the present application can also be applied to other types of energy management systems, such as photovoltaic power generation systems, wind power generation systems, etc., and can be used more widely by introducing more types of sensors and data analysis models.

[0149] In another embodiment, Figure 6 As shown, a device for detecting the charging and discharging state of an energy storage device is provided, comprising: a data acquisition module 601, a data processing module 602, wherein:

[0150] The data acquisition module 601 is used to obtain multiple data features, each of which is used to indicate the charging and discharging state of the energy storage device;

[0151] The data processing module 602 is used to obtain multiple judgment results for judging the charging and discharging status of the energy storage device according to the multiple data features, and the multiple judgment results correspond to the multiple data features one by one; obtain a first number of the judgment results of the charging status and a second number of the judgment results of the discharging status among the multiple judgment results; determine the target state of the energy storage device according to the state indicated by the judgment result with a larger number between the first number and the second number.

[0152] For further limitations on the above-mentioned device, please refer to the above-mentioned limitations on a method for detecting the charging and discharging status of an energy storage device, which will not be repeated here. Each module in the above-mentioned device can be implemented in whole or in part by software, hardware, and a combination thereof. Each of the above-mentioned modules can be embedded in or independent of the processor in the terminal device in the form of hardware, or can be stored in the memory of the terminal device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0153] Another embodiment provides a computer-readable storage medium for storing a computer program. The computer program includes instructions for implementing the method described in the embodiment of the present application. By installing the computer program on a computer, the computer can execute the corresponding method to detect the charge and discharge status.

[0154] Another embodiment provides a computer program product, which includes computer program codes. When these computer program codes are run on a computer, they enable the computer to implement the method proposed in the embodiment of the present application. In this way, the user can detect the charge and discharge status by using this computer program product.

[0155] For example, Figure 7 It is a schematic block diagram of another apparatus for detecting the charging and discharging status of an energy storage device provided in an embodiment of the present application.

[0156] Figure 7 The charging and discharging state detection device 700 shown is composed of four main parts: processor 701, memory 702, communication interface 703 and bus 704. Each part has its specific function and role, and these components and their functions in detecting the charging and discharging state of the energy storage device will be explained in detail below.

[0157] Processor 701, as the core of the device, is responsible for performing various calculation, control and decision-making tasks. It receives data from various sensors (such as current sensors, temperature sensors, SOC sensors, etc.) and performs real-time processing and analysis. The processor executes a predefined algorithm (such as based on current direction, the relationship between temperature and SOC, time series analysis, etc.) to determine the current charge and discharge state of the energy storage device, and controls the charge and discharge operation of the energy storage device according to the judgment result to ensure the safety and efficient operation of the equipment. In addition, the processor also monitors abnormal conditions (such as extreme current, abnormal temperature, etc.) and starts the corresponding fault handling procedure, while continuously optimizing and adjusting the algorithm parameters to improve the accuracy and response speed of state detection.

[0158] The memory 702 is used to store program code, configuration data, historical data and temporary data. It saves the operating system, application program and algorithm code for the processor to execute; stores sensor data, historical charge and discharge records, configuration parameters, etc., for subsequent analysis and reporting; provides temporary storage space for caching intermediate calculation results to improve processing efficiency; and records system operation logs and event logs for troubleshooting and performance analysis.

[0159] The communication interface 703 is used to exchange and communicate data with other devices or systems. It sends the detection results, status information and alarm information to the remote monitoring system or cloud platform, and receives commands and configuration information from the remote system to achieve remote control and management. The communication interface supports wired or wireless communication protocols (such as Ethernet, Wi-Fi, 4G / 5G, etc.) to ensure reliable connection with external systems. At the same time, it supports encrypted communication to protect the security of data transmission, prevent data from being tampered with or stolen, and supports standard communication protocols (such as Modbus, IEC 61850, etc.) to ensure compatibility with existing systems.

[0160] The bus 704 serves as a communication channel connecting the processor, memory, communication interface and other peripheral devices, transferring data and instructions between various components to ensure that each part works in coordination. It allows different components to share memory, I / O resources, etc., to improve the overall efficiency of the system, and coordinates the working timing of each component to ensure data consistency and synchronization. The bus also supports the connection and expansion of external devices to enhance the flexibility of the system.

[0161] Through this structure and workflow, the charge and discharge status detection device 700 can efficiently and accurately detect and manage the charge and discharge status of the energy storage device, while providing safe and reliable data transmission and remote control functions.

[0162] It should be understood that in the embodiments of the present application, the processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or the processor may be any conventional processor, etc.

[0163] In the implementation process, each step of the above method can be completed by an integrated logic circuit of hardware in a processor or an instruction in the form of software. The steps of the method disclosed in conjunction with the embodiment of the present application can be directly embodied as a hardware processor for execution, or a combination of hardware and software modules in a processor for execution. The software module can be located in a storage medium mature in the art such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory or an electrically erasable programmable memory, a register, etc. The storage medium is located in a memory, and the processor executes the instructions in the memory, and completes the steps of the above method in conjunction with its hardware. To avoid repetition, it is not described in detail here.

[0164] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the embodiments of the present application.

[0165] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0166] In the several embodiments provided in the embodiments of the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0167] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0168] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0169] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiment of the present application is essentially or the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk and other media that can store program code.

[0170] The above is only a specific implementation of the embodiment of the present application, but the protection scope of the embodiment of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or replacements within the technical scope disclosed in the embodiment of the present application, which should be included in the protection scope of the embodiment of the present application. Therefore, the protection scope of the embodiment of the present application should be based on the protection scope of the claims.

Claims

1. A method for detecting a charge and discharge state, characterized in that: The method comprises: Obtaining a plurality of data features, each data feature being used to indicate a charge and discharge state of an energy storage device; According to the multiple data features, multiple judgment results for judging the charge and discharge state of the energy storage device are obtained, wherein the multiple judgment results correspond to the multiple data features one by one; Obtaining a first number of the plurality of judgment results indicating a charging state and a second number of the plurality of judgment results indicating a discharging state; The target state of the energy storage device is determined according to the state indicated by the judgment result of the larger number between the first number and the second number.

2. The method according to claim 1, characterized in that The multiple data features include: multiple first-type data features and multiple second-type data features, the multiple first-type data features are data features obtained at different times within a preset time period, and the multiple second-type data features are data features obtained according to changes in the multiple first-type data features within the preset time period. The multiple judgment results for judging the charge and discharge state of the energy storage device obtained according to the multiple data features include: Obtaining a first judgment result for judging the charge and discharge state of the energy storage device according to the plurality of first-type data features, wherein the first judgment result corresponds one-to-one to each data feature of the plurality of first-type data features; Obtaining a second judgment result for judging the charge and discharge state of the energy storage device according to the plurality of second-type data features, wherein the second judgment result corresponds one-to-one to each data feature of the plurality of second-type data features; The plurality of judgment results include a plurality of the first judgment results and a plurality of the second judgment results.

3. The method according to claim 2, characterized in that The step of determining the target state of the energy storage device according to the state indicated by the judgment result of the larger number between the first number and the second number includes: Acquire a third number of the first judgment results whose judgment results are the charging state and a fourth number of the first judgment results whose judgment results are the discharging state; acquiring, among the plurality of second judgment results, a fifth number of the judgment results of the charging state and a sixth number of the judgment results of the discharging state; Determining, according to the state indicated by the first judgment result having a larger number among the third number and the fourth number, that the target state of the energy storage device corresponding to the plurality of first-type data features is a first state; Determining, according to the state indicated by the second judgment result which is larger among the fifth number and the sixth number, that the target state of the energy storage device corresponding to the plurality of second type data features is a second state; If the target states of the energy storage device corresponding to the first state and the second state are the same, the target state of the energy storage device is the first state or the second state; if the target states of the energy storage device corresponding to the first state and the second state are different, the multiple first type data features and the multiple second type data features are deleted.

4. The method according to claim 2, characterized in that: The multiple first-type data features include: active electric energy, active power, current, temperature, and state of charge SOC, wherein active electric energy includes positive active electric energy and reverse active electric energy; the first judgment result of judging the charge and discharge state of the energy storage device according to the multiple first-type data features includes: Acquire a preset condition, wherein the preset condition includes a threshold value or a change condition corresponding to each of the plurality of first-type data features in a discharge state; the preset condition is: the forward active electric energy increases, and / or the active power is less than a preset threshold value, and / or the current is less than a preset threshold value, and / or the temperature increases, and / or the SOC decreases; The preset conditions also include thresholds or changes corresponding to each of the plurality of first-type data features in the charging state; the preset conditions are: the reverse active electric energy increases, and / or the active power is greater than a preset threshold, and / or the current is positive, and / or the temperature remains unchanged, and / or the SOC increases; A first judgment result of judging the charging and discharging state of the energy storage device is obtained through the preset condition.

5. The method according to claim 4, characterized in that The active power includes: a first active power and a second active power, wherein: the first active power is used to indicate the charge and discharge state of the energy storage device measured by an electric meter, and the second active power is used to indicate the charge and discharge state of the energy storage device measured by an energy storage converter; The plurality of second-type data features include a charge-discharge state identification variable, a temperature change rate, and an SOC change rate, wherein: the charge-discharge state identification variable is a data feature jointly constituted by the forward active power or the reverse active power, the first active power, the second active power, and the current in the plurality of first-type data features; Among them, when the reverse active electric energy value increases, and the first active power, the second active power, and the current are all less than a preset threshold, the charge and discharge state identification variable indicates the charging state.

6. The method according to claim 5, characterized in that The second judgment result of judging the charging and discharging state of the energy storage device according to the plurality of second-type data features includes: Acquire a preset condition, wherein the preset condition includes a threshold value or a change condition corresponding to each of the plurality of second-type data features in the discharge state; the preset condition is: the positive active electric energy value in the charge-discharge state identification variable increases, and the first active power, the second active power, and the current are all greater than a preset threshold value, and / or the temperature change rate is greater than a preset threshold value, and / or the SOC change rate is less than a preset threshold value; The preset condition also includes a threshold value or change corresponding to each of the plurality of second-type data features in the charging state; the preset condition is: the reverse active electric energy value in the charge and discharge state identification variable increases, and the first active power, the second active power, and the current are all less than a preset threshold value, the energy storage device is in a charging state, and / or the temperature change rate remains unchanged, and / or the SOC change rate is greater than a preset threshold value; A second judgment result for judging the charging and discharging state of the energy storage device is obtained through the preset condition.

7. The method according to claim 5, characterized in that The plurality of second-type data features further include a power state, wherein the power state includes a power balance state or a power imbalance state, wherein: When the difference between the charging power of the first active power and the discharging power of the second active power at the same time is less than or equal to a preset value, the power state is the power balance state; Before obtaining multiple judgment results for judging the charging and discharging state of the energy storage device according to the multiple data features, the method further includes: Determining whether the power state is a power balance state; If the power state is the power balance state, obtaining multiple judgment results for judging the charge and discharge state of the energy storage device according to the multiple data features; If the power state is the power imbalance state, the data feature at the corresponding time is deleted.

8. The method according to claim 1, characterized in that The method further comprises: Preprocessing the data features; the preprocessing includes: standardizing the data features and removing abnormal data points; The prediction result is obtained through the time series prediction model, and the prediction result is the target charging and discharging state of the energy storage device in the future time period.

9. The method according to claim 8, characterized in that The energy storage device includes a display. After obtaining the prediction result, the method includes: The prediction result is outputted through the display, and the prediction result is used to indicate the change of the target charging and discharging state of the energy storage device over time.

10. A charge and discharge state detection device, characterized in that: include: A data acquisition module, used to obtain a plurality of data features, each data feature is used to indicate the charge and discharge state of the energy storage device; The data processing module is used to obtain multiple judgment results for judging the charging and discharging state of the energy storage device according to the multiple data features, and the multiple judgment results correspond to the multiple data features one by one; obtain a first number of the judgment results of the charging state and a second number of the judgment results of the discharging state among the multiple judgment results; and determine the target state of the energy storage device according to the state indicated by the judgment result with a larger number between the first number and the second number.

11. An electronic device, characterized in that: include: processor; a memory for storing instructions executable by the processor; The processor is configured to execute the instructions to implement the steps of a charge and discharge status detection method as described in any one of claims 1 to 9.

12. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of a charge and discharge state detection method as claimed in any one of claims 1 to 9 are implemented.

13. A computer program product, characterized in that When the computer program product is run on a computer, the computer is enabled to execute the steps of a charge and discharge status detection method as claimed in any one of claims 1 to 9.

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