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

Abstract

The embodiment of the application provides a charging and discharging state detection method and device, electronic equipment, a storage medium and a product. The method comprises the following steps: obtaining a plurality of data characteristics, each data characteristic being used for indicating the charging and discharging state of a storage device; obtaining a plurality of judgment results for judging the charging and discharging state of the storage device according to the plurality of data characteristics, the plurality of judgment results corresponding to the plurality of data characteristics in one-to-one correspondence; acquiring a first number of judgment results in the plurality of judgment results being the charging state and a second number of judgment results in the plurality of judgment results being the discharging state; and determining the target state of the storage device according to the state indicated by the judgment result with the larger 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 device management, in particular to a charging and discharging state detection method and device, electronic equipment, a storage medium and a product. BACKGROUND

[0002] With the rapid development of renewable energy and the advancement of smart grid construction, energy storage technology, as a key link to balance power supply and demand and improve energy utilization efficiency, has received widespread attention. However, traditional monitoring methods based on current and voltage are difficult to accurately determine the actual charging and discharging state of energy storage devices when facing complex working conditions such as temperature changes and load fluctuations. SUMMARY

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

[0004] The first aspect of the present application provides a charging and discharging state detection method, which comprises:

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

[0006] According to the plurality of data features, a plurality of judgment results for judging the charging and discharging state of the energy storage device are obtained, and the plurality of judgment results correspond one-to-one to the plurality of data features;

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

[0008] According to the state indicated by the judgment result with the larger number in the first number and the second number, the target state of the energy storage device is determined.

[0009] In some possible embodiments, the plurality of data features includes a plurality of first type data features and a plurality of second type data features, the plurality of first type data features being data features obtained at different times within a preset time period, and the plurality of second type data features being data features obtained according to the variation of the plurality of first type data features within the preset time period, and the plurality of judgment results for judging the charging and discharging state of the energy storage device according to the plurality of data features includes:

[0010] According to the plurality of first type data features, a first judgment result for judging the charging and discharging state of the energy storage device is obtained, and the first judgment result corresponds one-to-one to the plurality of first type data features;

[0011] According to the plurality of second type data features, a second judgment result of judging the charge and discharge state of the energy storage device is obtained, and the second judgment result corresponds to the plurality of second type data features one by one.

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

[0013] In some possible embodiments, the target state of the energy storage device is determined according to the state indicated by the judgment result with the larger quantity in the first quantity and the second quantity, including:

[0014] A third quantity of the first judgment results indicating the charge state and a fourth quantity of the first judgment results indicating the discharge state are obtained.

[0015] A fifth quantity of the second judgment results indicating the charge state and a sixth quantity of the second judgment results indicating the discharge state are obtained.

[0016] According to the state indicated by the first judgment result with the larger quantity in the third quantity and the fourth quantity, the target state of the energy storage device corresponding to the plurality of first type data features is determined as a first state.

[0017] According to the state indicated by the second judgment result with the larger quantity in the fifth quantity and the sixth quantity, the target state of the energy storage device corresponding to the plurality of second type data features is determined as 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 plurality of first type data features and the plurality of second type data features are deleted.

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

[0020] A preset condition is obtained, and the preset condition includes a threshold or a change condition corresponding to each of the plurality of first type data features in the discharge state; the preset condition is that the positive active electric energy increases, and / or the active power is less than a preset threshold, and / or the current is less than a preset threshold, and / or the temperature increases, and / or the SOC decreases.

[0021] The preset condition further comprises a threshold value or a change condition corresponding to each of the plurality of first type data features in the charging state; the preset condition is that the reverse active power increases, and / or the active power is greater than a preset threshold value, and / or the current is positive, and / or the temperature is unchanged, and / or the SOC increases;

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

[0023] In some possible embodiments, the active power comprises a first active power and a second active power, wherein the first active power is used to indicate the charging and discharging state measured by the electric meter on the energy storage device, and the second active power is used to indicate the charging and discharging state measured by the energy storage converter on the energy storage device.

[0024] The plurality of second type data features comprises a charging and discharging state identification variable, a temperature change rate, and an SOC change rate, wherein the charging and discharging state identification variable is a data feature composed of 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] In the case that the reverse active power value increases, and the first active power, the second active power, and the current are all less than a preset threshold value, the charging and discharging state identification variable indicates the charging state.

[0026] In some possible embodiments, the second judgment result of the charging and discharging state of the energy storage device obtained according to the plurality of second type data features comprises:

[0027] A preset condition is obtained, the preset condition comprises a threshold value or a change condition corresponding to each of the plurality of second type data features in the discharging state; the preset condition is that the forward active power value in the charging and discharging 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 further includes a threshold value or a change condition corresponding to each of the plurality of second type data features in the charging state; the preset condition is that the reverse active power value in the charging and discharging state identifier 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 is unchanged, and / or the SOC change rate is greater than a preset threshold value;

[0029] A second judgment result of 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] In a case where a difference between the first active power and the second active power charging power and a difference between the first active power and the second active power discharging power are both less than or equal to a preset value at the same time, the power state is the power balance state;

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

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

[0034] If the power state is the power balance state, obtaining a plurality of judgment results of judging the charging and discharging state of the energy storage device according to the plurality of data features;

[0035] If the power state is the power imbalance state, deleting the data features corresponding to the moment.

[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] obtaining a prediction result through a time series prediction model, the prediction result being a target charging and discharging state of the energy storage device in a future time period.

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

[0040] outputting the prediction result through the display, the prediction result being used to indicate a change condition of the target charging and discharging state of the energy storage device over time.

[0041] The second aspect embodiment of the present application provides a charging and discharging state detection device, comprising:

[0042] a data acquisition module, configured to obtain a plurality of data features, each data feature being used to indicate a charging and discharging state of the energy storage device;

[0043] a data processing module, configured to obtain a plurality of judgment results for judging the charging and discharging state of the energy storage device according to the plurality of data features, the plurality of judgment results corresponding to the plurality of data features one by one; obtain a first number of judgment results indicating a charging state and a second number of judgment results indicating a discharging state in the plurality of judgment results; and determine a target state of the energy storage device according to a state indicated by the judgment result with a larger number in the first number and the second number.

[0044] The third aspect embodiment of the present application provides an electronic device, comprising:

[0045] a processor;

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

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

[0048] The fourth aspect embodiment of the present application provides a storage medium having a computer program stored thereon, the computer program being executed by a processor to implement the steps of the charging and discharging state detection method according to any one of the first aspect embodiments of the present application.

[0049] The fifth aspect embodiment of the present application provides a computer program product, when the computer program product is executed on a computer, the computer program product causes the computer to execute the steps of the charging and discharging state detection method according to any one of the first aspect embodiments of the present application.

[0050] The technical solutions provided by the embodiments of the present application have at least the following beneficial effects:

[0051] By collecting a plurality of data features of the energy storage device, the charging and discharging state of the device can be comprehensively analyzed. Each data feature is used to indicate the charging and discharging state of the energy storage device; according to the plurality of data features, a plurality of judgment results for judging the charging and discharging state of the energy storage device are obtained, and the plurality of judgment results correspond one-to-one to the plurality of data features; a first number of judgment results indicating the charging state and a second number of judgment results indicating the discharging state in the plurality of judgment results are obtained; and according to the state indicated by the judgment result with the larger number in 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 energy storage device state information and improve the accuracy of charging and discharging state monitoring. BRIEF DESCRIPTION OF DRAWINGS

[0052] Figure 1 An application scenario of a charging and discharging state detection method proposed by an embodiment of the present application is shown in the figure.

[0053] Figure 2 A flowchart of a charging and discharging state detection method proposed by an embodiment of the present application is shown in the figure.

[0054] Figure 3 Another flowchart of a charging and discharging state detection method proposed by an embodiment of the present application is shown in the figure.

[0055] Figure 4 Another flowchart of a charging and discharging state detection method proposed by an embodiment of the present application is shown in the figure.

[0056] Figure 5 Another flowchart of a charging and discharging state detection method proposed by an embodiment of the present application is shown in the figure.

[0057] Figure 6 A structural diagram of a device of a charging and discharging state detection method proposed by an embodiment of the present application is shown in the figure.

[0058] Figure 7 A structural diagram of an electronic device of a charging and discharging state detection method proposed by an embodiment of the present application is shown in the figure. DETAILED DESCRIPTION

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

[0060] For the convenience of clearly describing the technical solutions of the embodiments of the present application, in the embodiments of the present application, the terms "first", "second", etc. are used to distinguish the same or similar items with basically the same function and role. For example, the first instruction and the second instruction are used to distinguish different user instructions, and the order is not limited. Those skilled in the art can understand that the terms "first", "second", etc. do not limit the quantity and execution order, and the terms "first", "second", etc. also do not mean that they are necessarily different.

[0061] It should be noted that in the embodiments of the present application, the words "exemplarily" or "for example" are used to represent as an example, illustration or description. Any embodiment or design scheme described as "exemplarily" or "for example" in the embodiments of the present application should not be interpreted as more preferred or more advantageous than other embodiments or design schemes. Rather, the words "exemplarily" or "for example" are used to present the relevant concept in a specific manner.

[0062] In addition, "at least one" means one or more, and "multiple" means two or more. The "and / or" describes the association relationship of the associated objects, which means that there can be three relationships, for example, A and / or B, which can represent the following cases: A exists alone, A and B exist together, B exists alone, where A and B can be singular or plural. The character " / " generally represents an "or" relationship between the associated objects before and after it. "At least one of the following" or similar expressions means any combination of these items, including any combination of single item or multiple items. For example, at least one of a, b and c can represent: 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", "contain" or any other variants thereof are intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements not only includes those elements, but also includes other elements not explicitly listed, or includes elements inherent to such process, method, article or device. Without more limitations, the element defined by the sentence "including a…" does not exclude the presence of another identical element 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, as a key link to balance power supply and demand and improve energy utilization efficiency, has received widespread attention. However, the existing energy storage system monitoring and management technology still has defects, which limits its performance optimization and service quality improvement. First, the traditional current and voltage-based monitoring method is difficult to accurately determine the actual charging and discharging state of the energy storage device in the face of 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 also may cause overcharging or overdischarging, thereby damaging the equipment life. In addition, most existing energy storage monitoring systems mainly focus on the trend of a single parameter, ignoring the interaction between multiple factors. This one-sided analysis method cannot fully reflect the real working condition of the energy storage device, 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, the embodiment of the present application proposes an energy storage device charging and discharging state detection method, which obtains more accurate charging and discharging state detection and judgment through comprehensive multi-parameter analysis.

[0066] Exemplarily, Figure 1 An application scenario of an embodiment of the present application is shown in the figure, which includes an energy storage device 101, an electricity meter 102, and an energy storage converter 103, wherein the energy storage device 101 includes a display 1011.

[0067] In the application scenario of the embodiment of the present application, the energy storage device 101 as the core component is used to store energy when the power supply is surplus, and release energy in the case of demand peak or power failure. The device can adopt various forms such as battery system, flywheel or compressed air system, etc. The energy storage device 101 is equipped with a display 1011 for intuitively presenting information related to the energy storage state, including the current power level, charging and discharging state and any possible fault alarm, so that the user can monitor the energy storage condition in real time.

[0068] In addition, the system also contains an electricity meter 102, which is responsible for measuring and recording the energy in and out of the energy storage system, whether it is energy obtained from the grid or energy output to the grid or load, ensuring the transparency and accurate billing of energy use. In order to realize the efficient connection between the energy storage device and the grid or other electrical loads, the energy storage converter 103 plays a key role. The energy storage converter is responsible for the conversion between alternating current and direct current, not only supporting the charging and discharging process of the energy storage device, but also optimizing energy management, improving the operating efficiency and stability of the entire system.

[0069] Exemplarily, the electricity meter and the energy storage converter can be connected with the energy storage device by wire or wirelessly.

[0070] The following introduces how to determine the charge-discharge state of the energy storage device according to the embodiments of the present application.

[0071] In some possible embodiments, as Figure 2 The charge-discharge state detection method according to the embodiments of the present application determines the charge-discharge state of the energy storage device by performing the following steps:

[0072] Step 201: Obtain a plurality of data features;

[0073] Exemplarily, the plurality of data features can be obtained by sensors. The sensors are selected according to the characteristics of the energy storage device and monitoring requirements, and appropriate current sensors, voltage sensors, temperature sensors and the like are selected. The sensors should have the characteristics of high precision, high reliability and fast response. The sensors are deployed at key positions of the energy storage device, for example, the positive and negative poles of the battery pack, temperature sensitive points and the like, to ensure that the operation data of the device can be accurately collected, thereby providing a data basis for accurately determining the charge-discharge state of the energy storage device.

[0074] After the data features in the preset time period are collected by the sensors, the data features should be selected. The data features most related to the charge-discharge state of the energy storage device are selected and ensured to be transmitted to the cloud storage platform for long-term storage and backup.

[0075] Exemplarily, the collected data features can be sorted in descending order of importance, and each data feature is given a corresponding weight. The greater the weight of the data feature, the higher the influence of the data feature on the charge-discharge state, for example, the charging power, the discharging power and the like.

[0076] In addition to the data features collected by the sensors, the data features with higher weights among the collected data features can also constitute a new changing data feature, and the two are used together to determine the charge-discharge state of the energy storage device.

[0077] Exemplarily, the charging power change rate is constituted by the charging power, which is the average charging power change rate in the preset time period, that is, the change slope of the charging power with time. If the charging power change rate in this period is positive (that is, the charging power increases), it indicates that the energy storage device is in a charging state; if the charging power change rate is negative (that is, the charging power decreases), it may indicate that the charging process is over or has shifted to other operation modes, but it cannot be directly determined as a discharging state, because it is also possible that the charging rate is slowed down.

[0078] Exemplarily, the discharge power change rate is constituted by the discharge power, and is an average discharge power change rate in a preset time period. If the discharge power change rate in this period is positive (i.e., the discharge power increases), it indicates that the energy storage device is accelerating discharging, and the energy storage device is in a discharging state; if the discharge power change rate is negative (i.e., the discharge power decreases), it means that the discharging rate slows down, but it does not directly mean that it enters a charging state, because it is also possible that the discharging process is close to the end or the load demand is reduced.

[0079] Step 202: obtaining a plurality of judgment results of judging the charging and discharging state of the energy storage device according to the plurality of data features;

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

[0081] Step 203: obtaining a first number of judgment results in the plurality of judgment results indicating a charging state, and a second number of judgment results indicating a discharging state;

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

[0083] The numbers of the charging and discharging states corresponding to the multiple data features are counted and obtained. 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 a charging state, and vice versa.

[0084] The plurality of data features obtained in step 201 include two types of data features: a plurality of first type data features and a plurality of second type data features. The plurality of first type data features are data features at different times obtained in a preset time period, and the plurality of second type data features are data features obtained according to the change of the plurality of first type data features in the preset time period.

[0085] In some embodiments, exemplarily, the charging and discharging states of the two types of data features can be judged respectively, and then the target charging and discharging state of the energy storage device is judged by the size relationship between the charging number and the discharging number. In step 202, the plurality of judgment results of judging the charging and discharging state of the energy storage device according to the plurality of data features include:

[0086] According to the plurality of first type data features, a first judgment result of judging the charging and discharging state of the energy storage device is obtained, and the first judgment result corresponds to the plurality of first type data features one by one.

[0087] According to the plurality of second type data features, a second judgment result of judging the charge and discharge state of the energy storage device is obtained, and the second judgment result corresponds to the plurality of second type data features one by one.

[0088] The plurality of judgment results include the plurality of first judgment results and the plurality of 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 respectively, that is, the size relationship between the charge quantity and the discharge quantity corresponding to the plurality of first type data features and the plurality of second type data features is used to determine whether the target charge and discharge state corresponding to the first data and the target charge and discharge state corresponding to the second data of the energy storage device are the same to determine the final target charge and discharge state of the energy storage device.

[0090] Exemplarily, as Figure 3 There is one detailed execution step for the embodiment of the present application:

[0091] Step 301: obtaining a third quantity of judgment results in the plurality of first judgment results being the charge state and a fourth quantity of judgment results being the discharge state;

[0092] Step 302: obtaining a fifth quantity of judgment results in the plurality of second judgment results being the charge state and a sixth quantity of judgment results being the discharge state;

[0093] Step 303: determining 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 with more quantity in the third quantity and the fourth quantity;

[0094] Step 304: determining 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 with more quantity in the fifth quantity and the sixth quantity;

[0095] Step 305: 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;

[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] To better understand the above steps, the present embodiment illustrates this process through two specific examples. The "first determination result" and the "second determination result" are based on different types of data characteristics (a plurality of first type data characteristics and a plurality of second type data characteristics) to determine the state of the energy storage device (charging or discharging).

[0098] In the analysis of the state of the energy storage device, first, the first determination result is obtained based on a plurality of first type data characteristics obtained by the sensor, assuming that the charging state appears 3 times, and the discharging state appears 7 times; then, the second determination 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, the third number of the charging state in the first determination result is determined to be 3 times, and the fourth number of the discharging state is determined to be 7 times; while in step 302, the fifth number of the charging state in the second determination result is determined to be 5 times, and the sixth number of the discharging state is determined to be 8 times. Since the number of discharging states in the first determination result is larger, that is, the fourth number is greater than the third number (7 times is greater than 3 times), so in step 303, the target state corresponding to the plurality of first type data characteristics is determined to be discharging. Similarly, the number of discharging states in the second determination result is also larger, that is, the sixth number is greater than the fifth number (8 times is greater than 5 times), so in step 304, the target state corresponding to the plurality of second type data characteristics is also determined to be discharging. Finally, in step 305, because the first state and the second state both point to discharging, the target state of the energy storage device is finally determined to be the discharging state.

[0099] In another example, based on a plurality of first type data characteristics, the energy storage device is in a third number of charging states 9 times, and a fourth number of discharging states 1 time; since the number of discharging states in the first determination result is larger, that is, the fourth number is greater than the third number (9 times is greater than 1 time), then based on a plurality of second type data characteristics, the energy storage device is in a discharging state 2 times, and a charging state 2 times. That is, the fifth number and the sixth number are the same, that is, in step 304, the target state corresponding to the plurality of second type data characteristics cannot be determined according to the size relationship of the number. Since the first state (charging) and the second state (discharging) are inconsistent, in step 306, for example, the plurality of first type data characteristics and the plurality of second type data characteristics can be deleted according to the provisions, which means that in this case there is no clear consistent state determination, and further investigation or other methods may be needed to determine the true state of the energy storage device.

[0100] Exemplarily, in the case that the first state (charging) is inconsistent with the second state (discharging), the feature importance of the plurality of second type data features can also be determined according to the weights of the plurality of first type data features, and the data features with less influence on the determination 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 according to the charging / discharging state statistical results in different time periods, and take corresponding processing measures when the state determination is inconsistent.

[0102] In some embodiments, the plurality of first type data features at least include active electric energy, active power, current, temperature, and state of charge (SOC), wherein the active electric energy includes positive active electric energy and negative active electric energy. Exemplarily, the positive active electric energy is used to indicate the discharging state, and the negative active electric energy is used to indicate the charging state. How to obtain the first determination result for determining the charging and discharging state of the energy storage device according to the plurality of first type data features? The first determination result needs to obtain a preset condition in advance:

[0103] The preset condition includes the threshold value or change condition of each of the plurality of first type data features in the discharging state; the preset condition is that the positive 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 the threshold value or change condition of each of the plurality of first type data features in the charging state; the preset condition is that the negative active electric energy increases, and / or the active power is greater than a preset threshold value, and / or the current is positive, and / or the temperature is unchanged, and / or the SOC increases.

[0105] Exemplarily, the preset threshold value can be 0.

[0106] The first determination result for determining the charging and discharging state of the energy storage device is obtained through the preset condition, that is, in the case that the above conditions are met, any preset condition can obtain the first determination result for determining the charging and discharging state of the energy storage device, and the first determination result includes the charging state and the discharging state.

[0107] According to the above embodiment, the plurality of second type data features are data features obtained according to changes of the plurality of first type data features in the preset time period, the plurality of second type data features include a charge-discharge state identification variable, a temperature change rate, and a SOC change rate, wherein: the charge-discharge state identification variable is a data feature composed of the positive active electric energy or the negative active electric energy, the first active power, the second active power, and the current in the plurality of first type data features;

[0108] In a case where the negative 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-discharge state identification variable indicates the charging state.

[0109] Then, how to obtain a second judgment result for judging the charge-discharge state of the energy storage device according to the plurality of second type data features? The second judgment result needs to obtain a preset condition in advance:

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

[0111] The preset condition also includes a threshold or change condition corresponding to each of the plurality of second type data features in the charging state; the preset condition is that, in the charge-discharge state identification variable, the negative 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 energy storage device is in a charging state, and / or the temperature change rate is unchanged, and / or the SOC change rate is greater than a preset threshold.

[0112] The second judgment result for judging the charge-discharge state of the energy storage device is obtained through the preset condition.

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

[0114] When the energy storage device is in a charging state, the temperature rate can remain unchanged or be a value close to 0.

[0115] In some embodiments, the plurality of second-type data features further comprise a power state, the power state comprising a power balance state or a power imbalance state, wherein: the power state is whether a difference between a first active power and a second active power in the plurality of first-type data features is within a preset range, if within the preset range, the power balance state, if the difference between the two is not within the preset range, the power imbalance state.

[0116] In the case that the difference between the first active power and the second active power charging power and the difference between the discharging power are both less than or equal to a preset value at the same time, 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 on the energy storage device, and the second active power is used to indicate the charging and discharging state measured by the energy storage converter on the energy storage device.

[0117] Exemplarily, the preset value can be a value, for example, 5, or a range, for example, 5-10. In the embodiments 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 value of the two is less than a preset value or the lower limit value of the preset range, it means that the charging and discharging of the energy storage device is normal, and the subsequent operation can be continued. If the value of the two is greater than the upper limit value of the range 5-10, it means that the power is unbalanced, and the charging and discharging has a problem, a series of steps such as step 403 in Figure 4 need to be taken.

[0118] Exemplarily, as shown in Figure 4 , before the plurality of judgment results for judging the charging and discharging state of the energy storage device are obtained according to the plurality of data features in step 202, the method further comprises:

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

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

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

[0122] If the power state is the power imbalance state, the content of step 403 is executed.

[0123] Step 403: deleting the data features corresponding to the time, deleting other features at the time of power imbalance, then obtaining updated data features, and obtaining a plurality of judgment results for judging the charging and discharging state of the energy storage device according to the updated data features.

[0124] In some possible embodiments, the plurality of second type data features can further include: current direction; temperature and SOC relationship; time series; extreme current indicator variable; charging and discharging power threshold. The plurality of first type data features include: active electric energy, active power, current, temperature, state of charge SOC, wherein the active electric energy includes positive active electric energy and negative active electric energy;

[0125] Exemplarily, the current direction is obtained by the difference of the current data in the plurality of first type data features within a preset time period. If the difference is positive, it means that the current direction is flowing to the energy storage device, and it is further judged as the charging state. The temperature and SOC relationship is the product of the temperature corresponding to the plurality of first type data features at a certain time and SOC / 100. The extreme current indicator variable is obtained by setting an extreme current threshold and comparing it with the obtained current in the plurality of first type data features. For example, if the current exceeds the extreme current, an alarm information is displayed. The charging and discharging power threshold is to set the discharging power threshold and the charging power threshold at the same time to judge the charging and discharging state. The second active power in the plurality of 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 constitute.

[0126] Exemplarily, the charging and discharging state of the energy storage device is judged by the plurality of second type data features (including current direction, temperature and SOC relationship, time series, extreme current indicator variable and charging and discharging power threshold) further constructed by the plurality of first type data features. The following steps and methods can be taken:

[0127] The current direction is one of the most intuitive indicators. If the current flows from the external power source to 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. Exemplarily, a Hall effect sensor or a shunt resistor can be used to measure the current direction.

[0128] The temperature and SOC relationship can also assist in judging the charging and discharging state. By monitoring the change trend of the battery temperature and SOC, additional information can be provided. For example, if it is observed that the SOC rises and the temperature remains basically unchanged, it is likely to be in the charging state; on the contrary, if the SOC decreases and the temperature changes greatly, it is likely to be in the discharging state. This is because the battery temperature tends to rise slightly during charging, while the temperature may decrease or remain stable during discharging.

[0129] Time series analysis can help identify trends in SOC over time. By continuously monitoring the changes in SOC over a period of time, it can be found that the SOC tends to rise during charging and fall during discharging. Using time series models (such as autoregressive integrated moving average models) or simple linear regression models 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 generally refers to large current beyond the normal range. In the charging state, there may be a larger positive current; in the discharging state, there may be a larger negative current. Set a threshold to detect extreme current and combine the current direction to determine the charging and discharging state.

[0131] The power threshold of charging and discharging refers to the preset charging and discharging power limit. If the actual power exceeds the set charging power threshold and the current direction is from the external power source to the battery, it can be determined as charging state; if the actual power exceeds the set discharging power threshold and the current direction is from the battery to the load, it can be determined as discharging state.

[0132] In the embodiments of the present application, all the above features can be combined for comprehensive judgment. For example, if the current direction shows that the current flows into the battery, the temperature remains basically unchanged, the SOC increases, and the power exceeds the charging power threshold, it can be very certain to determine that the energy storage device is in the charging state. Similarly, if the current direction shows that the current flows out of the battery, the temperature changes greatly, the SOC decreases, and the power exceeds the discharging power threshold, it can be determined that the energy storage device is in the discharging state.

[0133] Through this multi-dimensional analysis method, the accuracy of determining the charging and discharging state of the energy storage device can be improved. In actual application, specific application scenarios and device characteristics may also need to be combined to adjust the threshold and algorithm parameters 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 charging and discharging state of the energy storage device further comprises the steps of Figure 5 :

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

[0136] Exemplarily, in the embodiments of the present application, the Z-score standardization method is adopted to standardize the data, so as to ensure the consistency of the dimension and numerical range of the features, and reduce the influence of abnormal data. The data is converted into a distribution with a mean of 0 and a standard deviation of 1. The calculation formula of the Z-score standardization processing 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 standardizing the data, a plurality of standardized Z value matrices can be obtained, and abnormal data points are removed at the same time.

[0139] In order to identify and exclude abnormal values, a threshold, i.e. a preset range, is usually set. The preset range is usually determined based on the multiple of the standard deviation.

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

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

[0142] The step after preprocessing also includes dividing the Z value matrix into a training set and a test set. Since the selected data is standard two-charging two-discharging energy storage device data, the standardized data set can be divided into a training set and a test set according to time (such as morning and afternoon). In this way, it can be ensured that the model has good generalization ability in different time periods.

[0143] Step 502: obtaining a prediction result by a time series prediction model.

[0144] The Z value matrix of the training set corresponding to the data features is taken as input, and the result is the charging state or 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 capable of accurately predicting the charging and discharging state of the energy storage device is constructed. The prior feature data set is the charging and discharging state relationship of the energy storage device corresponding to the pre-obtained data features. In the embodiments of the present application, it can be a first judgment result corresponding to a plurality of first type data features and a second judgment result corresponding to a plurality of 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 feedback of the charging and discharging state information in time, reducing the manpower investment.

[0145] In some embodiments, in order to help the user intuitively understand the output of the model, the prediction result is output 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.

[0146] Exemplarily, the predicted charging and discharging state over time can be displayed by using a line chart, and the charging and discharging state can also be intuitively embodied in the form of a table.

[0147] It should be understood that, although Figures 2-5 the steps in the flowchart are shown in sequence according to the arrows, these steps are not necessarily executed in sequence according to the arrows. Unless otherwise specified herein, the execution of these steps is not strictly limited in sequence, and these steps can be executed in other sequences. Moreover, Figures 2-5 at least part of the steps in the flowchart can include multiple sub-steps or multiple stages, which are not necessarily executed at the same time, but can be executed at different times, and the execution sequence of these sub-steps or stages is not necessarily sequential, but can be alternately executed with at least part of other steps or sub-steps or stages of other steps.

[0148] In some embodiments, the charging and discharging state 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. By introducing more types of sensors and data analysis models, more extensive applications can be achieved.

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

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

[0151] The data processing module 602 is configured to obtain a plurality of judgment results for judging the charging and discharging state of the energy storage device according to the plurality of data features, the plurality of judgment results corresponding to the plurality of data features in one-to-one manner; obtain a first number of judgment results in the plurality of judgment results indicating a charging state, and a second number of judgment results in the plurality of judgment results indicating a discharging state; and determine a target state of the energy storage device according to a state indicated by the judgment result with a larger number in the first number and the second number.

[0152] Further limitations of the apparatus can be found in the above description of the method for detecting a charging and discharging state of an energy storage device, and will not be repeated here. Each module in the apparatus can be implemented in whole or in part by software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in the terminal device in hardware form, or stored in a memory in the terminal device in software form, so as to be called and executed by the processor to perform the operations corresponding to each module.

[0153] Another embodiment provides a computer-readable storage medium for storing a computer program. The computer program contains instructions for implementing the method described in the embodiments of the present application. By installing the computer program on a computer, the computer can be caused to perform the corresponding method to detect the charging and discharging state.

[0154] Another embodiment provides a computer program product containing computer program codes. When the computer program codes are run on a computer, they cause the computer to implement the method proposed in the embodiments of the present application. In this way, a user can use the computer program product to detect the charging and discharging state.

[0155] Exemplarily, Figure 7 is a schematic block diagram of another apparatus for detecting a charging and discharging state of an energy storage device provided by the embodiments of the present application.

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

[0157] The processor 701 is the core of the device, responsible for performing various calculations, controls, 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 predefined algorithms (such as based on current direction, temperature and SOC relationship, time series analysis, etc.) to determine the current charging and discharging state of the energy storage device, and controls the charging and discharging operation of the device according to the judgment result, to ensure the safety and high efficiency of the device. In addition, the processor also monitors abnormal conditions (such as extreme current, temperature anomaly, etc.), and starts the corresponding fault handling program, while constantly 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 charging and discharging records, configuration parameters, etc. for subsequent analysis and reporting; provides temporary storage space for caching intermediate calculation results to improve processing efficiency; records system operation logs and event logs for troubleshooting and performance analysis.

[0159] The communication interface 703 is used for data exchange and communication with other devices or systems. It sends detection results, state information and alarm information to remote monitoring systems or cloud platforms, and receives commands and configuration information from remote systems to realize remote control and management. The communication interface supports wired or wireless communication protocols (such as Ethernet, Wi-Fi, 4G / 5G, etc.), ensuring 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.), ensuring compatibility with existing systems.

[0160] The bus 704 is a communication channel connecting the processor, memory, communication interface and other peripheral devices, transmitting data and instructions between various components to ensure coordinated work. It allows different components to share memory, I / O resources, etc., improving the overall efficiency of the system, and coordinating the working time sequence of each component to ensure data consistency and synchronization. The bus also supports the connection and expansion of external devices, enhancing the flexibility of the system.

[0161] Through this structure and workflow, the charging and discharging state detection device 700 can efficiently and accurately detect and manage the charging and discharging state 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 can be a central processing unit (CPU), and the processor can also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor.

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

[0164] Those skilled in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be realized in electronic hardware or a combination of computer software and electronic hardware. Whether the functions are executed in hardware or software depends on the specific application and design constraints of the technical solution. The skilled person can use different methods to implement the described functions for each specific application, but such implementation should not be considered 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 above-described system, device and unit can refer to the corresponding processes in the foregoing method embodiments, which will not be described here.

[0166] In several embodiments provided by the embodiments of the present application, it should be understood that the disclosed system, device and method can be implemented by 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, and actual implementation can have another division manner, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some interfaces, devices or units, and can be electrical, mechanical or other forms.

[0167] The units described as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiment scheme.

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

[0169] The functions, if realized in the form of software functional units and sold or used as independent products, can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the embodiments of the present application can be embodied in the form of software products, and the computer software products are stored in a storage medium, including a number of instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the methods described in various embodiments of the present application. The foregoing storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), magnetic disk or optical disk, and various program code storage media.

[0170] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto, any person skilled in the art can easily think of changes or replacements within the technical range disclosed in the present application, which should be covered in the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A charge / discharge state detection method characterized by comprising: The method comprises: obtaining a plurality of data features, each data feature being used to indicate a charge-discharge state of an energy storage device; obtaining a plurality of judgment results of judging the charge-discharge state of the energy storage device according to the plurality of data features, the plurality of judgment results corresponding to the plurality of data features one by one; obtaining a first number of judgment results being the charging state and a second number of judgment results being the discharging state in the plurality of judgment results; determining a target state of the energy storage device according to the state indicated by the judgment result with a larger number in the first number and the second number; the plurality of data features comprises a plurality of first type data features and a plurality of second type data features, the plurality of first type data features being data features at different times obtained in a preset time period, and the plurality of second type data features being data features obtained according to the change of the plurality of first type data features in the preset time period, and the plurality of judgment results of judging the charge-discharge state of the energy storage device according to the plurality of data features comprises: obtaining a first judgment result of judging the charge-discharge state of the energy storage device according to the plurality of first type data features, the first judgment result corresponding to each data feature in the plurality of first type data features one by one; obtaining a second judgment result of judging the charge-discharge state of the energy storage device according to the plurality of second type data features, the second judgment result corresponding to each data feature in the plurality of second type data features one by one; the plurality of judgment results comprises the plurality of first judgment results and the plurality of second judgment results.

2. The method of claim 1, wherein, determining the target state of the energy storage device according to the state indicated by the judgment result with a larger number in the first number and the second number comprises: obtaining a third number of judgment results being the charging state and a fourth number of judgment results being the discharging state in the plurality of first judgment results; obtaining a fifth number of judgment results being the charging state and a sixth number of judgment results being the discharging state in the plurality of second judgment results; determining 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 with a larger number in the third number and the fourth number; determining 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 with a larger number in the fifth number and the sixth number; 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 plurality of first type data features and the plurality of second type data features are deleted.

3. The method of claim 1, wherein, The first type data features include active electric energy, active power, current, temperature, and state of charge (SOC), wherein the active electric energy includes positive active electric energy and negative active electric energy; the first judgment result of the charging and discharging state of the energy storage device is obtained according to the first type data features, and the first judgment result includes: preset conditions of the first type data features in the discharging state, wherein the preset conditions include that the positive active electric energy increases, and / or the active power is less than a preset threshold, and / or the current is less than a preset threshold, and / or the temperature increases, and / or the SOC decreases; preset conditions of the first type data features in the charging state, wherein the preset conditions include that the negative 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 is unchanged, and / or the SOC increases; the first judgment result of the charging and discharging state of the energy storage device is obtained according to the preset conditions.

4. The method of claim 3, wherein, The active power includes first active power and second active power, wherein the first active power is used to indicate the charging and discharging state of the energy storage device measured by an electric meter, and the second active power is used to indicate the charging and discharging state of the energy storage device measured by an energy storage converter; The second type data features include a charging and discharging state identification variable, a temperature change rate, and an SOC change rate, wherein the charging and discharging state identification variable is a data feature formed by the positive active electric energy or the negative active electric energy, the first active power, the second active power, and the current in the first type data features. In a case where the negative 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 charging and discharging state identification variable indicates the charging state.

5. The method of claim 4, wherein, The second judgment result of the charging and discharging state of the energy storage device is obtained according to the second type data features, and the second judgment result includes: preset conditions of the second type data features in the discharging state, wherein the preset conditions include that, in the charging and discharging state identification variable, the positive active electric energy value increases, and the first active power, the second active power, and the current are all greater than a preset threshold, and / or the temperature change rate is greater than a preset threshold, and / or the SOC change rate is less than a preset threshold. The preset condition further includes a threshold value or a change condition corresponding to each of the plurality of second type data features in the charging state; the preset condition is that the reverse active power value in the charging and discharging state identifier 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 is unchanged, and / or the SOC change rate is greater than a preset threshold value; A second judgment result of judging the charging and discharging state of the energy storage device is obtained through the preset condition.

6. The method of claim 4, wherein, 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: In a case where the difference between the first active power and the second active power charging power and the difference between the discharging power are both less than or equal to a preset value at the same time, the power state is the power balance state; Before obtaining a plurality of judgment results of judging the charging and discharging state of the energy storage device according to the plurality of data features, the method further includes: judging whether the power state is a power balance state; if the power state is the power balance state, obtaining a plurality of judgment results of judging the charging and discharging state of the energy storage device according to the plurality of data features; if the power state is the power imbalance state, deleting the data features corresponding to the moment.

7. The method of claim 1, wherein, The method further includes: preprocessing the data features; the preprocessing includes standardizing the data features and removing abnormal data points; obtaining a prediction result through a time series prediction model, the prediction result being a target charging and discharging state of the energy storage device in a future time period.

8. The method of claim 7, wherein, The energy storage device includes a display, and after obtaining the prediction result, the method includes: outputting the prediction result through the display, the prediction result being used to indicate a change of the target charging and discharging state of the energy storage device over time.

9. A charge / discharge state detection device characterized by comprising: including: a data acquisition module, configured to obtain a plurality of data features, each data feature being used to indicate a charging and discharging state of an energy storage device; a data processing module, configured to obtain a plurality of judgment results of judging the charging and discharging state of the energy storage device according to the plurality of data features, the plurality of judgment results corresponding to the plurality of data features one by one; obtain a first number of judgment results in the charging state and a second number of judgment results in the discharging state in the plurality of judgment results; determine a target state of the energy storage device according to the state indicated by the judgment result with a larger number in the first number and the second number; the plurality of data features include a plurality of first type data features and a plurality of second type data features, the plurality of first type data features being data features obtained at different moments in a preset time period, and the plurality of second type data features being data features obtained according to a change of the plurality of first type data features in the preset time period. The data processing module is further configured to obtain a first judgment result of judging the charge-discharge state of the energy storage device according to the plurality of first type data features, the first judgment result corresponding to each data feature in the plurality of first type data features one by one; obtain a second judgment result of judging the charge-discharge state of the energy storage device according to the plurality of second type data features, the second judgment result corresponding to each data feature in the plurality of second type data features one by one; and the plurality of judgment results include the plurality of first judgment results and the plurality of second judgment results.

10. An electronic device, comprising: Comprise: a processor; a memory for storing instructions executable by the processor; wherein the processor is configured to execute the instructions to implement the steps of the charge-discharge state detection method of any one of claims 1-8.

11. A storage medium having stored thereon a computer program, characterized in that The computer program is executed by the processor to implement the steps of the charge-discharge state detection method of any one of claims 1 to 8.

12. A computer program product, characterised in that, When the computer program product runs on the computer, it makes the computer execute the steps of the charge-discharge state detection method of any one of claims 1 to 8.

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