A method for identifying the operating status of energy storage equipment based on internal and external environment monitoring

Abstract

The present invention discloses a method for identifying the operating status of an energy storage device based on internal and external environmental monitoring, which relates to the field of energy storage technology, including: establishing an energy storage operation model of a battery pack to obtain the real-time optimal operating temperature of the battery pack; judging whether the total length of the target time is greater than a preset value; calculating the temperature drop value, and calculating the operating heat generated by the battery pack after the preset time; calculating the first temperature increase value caused by the heating of the battery pack in the machine room after the preset time; establishing a convection model between the machine room and the external environment, and calculating the second temperature increase value caused by air convection in the machine room after the preset time; obtaining a simulated temperature; judging whether the difference between the simulated temperature and the real-time optimal operating temperature is greater than the preset temperature. By establishing an energy storage operation model of the battery pack and establishing a convection model between the machine room and the external environment, the simulated temperature is obtained, and then pre-adjustment is made in time to avoid affecting the energy storage efficiency.

Description

Technical Field

[0001] The present invention relates to the field of energy storage technology, and in particular to a method for identifying the operating status of an energy storage device based on internal and external environment monitoring. Background Art

[0002] Energy storage refers to the process of storing energy through a medium or device and releasing it when needed. The research and development of new and renewable energy sources and the search for advanced methods to improve energy utilization have become the primary issue of global concern. Batteries and air conditioners are both components of energy storage devices. Energy storage devices require air conditioners to adjust the temperature, so the air conditioners need to be monitored. At the same time, the most important component of energy storage devices is the battery, so the battery also needs to be monitored.

[0003] The storage power of the battery varies with the amount of electricity to be stored externally, and different storage powers require different temperature environments. In order to maximize the energy storage efficiency, it is necessary to identify the operating status of the energy storage device. However, the existing technology lacks the prediction of temperature changes and the impact of temperature on energy storage efficiency, resulting in the inability to identify the non-optimal operating status of the energy storage device in advance, and thus unable to make adjustments in advance, which will affect the efficiency of energy storage to a certain extent. Summary of the invention

[0004] In order to solve the above technical problems, a method for identifying the operating status of an energy storage device based on internal and external environmental monitoring is provided. This technical solution solves the problem that the existing technology proposed in the above background technology lacks the prediction of temperature changes and the impact of temperature on energy storage efficiency, resulting in the inability to identify the non-optimal operating status of the energy storage device in advance, and then unable to make adjustments in advance, which will affect the efficiency of energy storage to a certain extent.

[0005] In order to achieve the above purpose, the technical solution adopted by the present invention is:

[0006] A method for identifying the operating status of an energy storage device based on internal and external environment monitoring, comprising:

[0007] Obtain the battery pack used for energy storage in the energy storage device, obtain the real-time energy storage power of the battery pack, and obtain the air conditioning unit used for temperature control in the energy storage device;

[0008] Establish an energy storage operation model for the battery pack, and obtain the real-time optimal operating temperature of the battery pack based on the energy storage operation model and real-time energy storage power;

[0009] The time when the difference between the real-time temperature in the room where the battery pack is located and the real-time optimal operating temperature is greater than the preset temperature is taken as the target time, and it is determined whether the total length of the target time is greater than the preset value. If so, the identification is terminated and it is determined that the battery pack is in a non-optimal operating state. If not, the identification is continued;

[0010] When continuing the identification, the real-time output temperature and real-time fresh air speed of the air-conditioning unit are obtained, and the total resistance and real-time input voltage of the battery pack are obtained;

[0011] Calculate the temperature drop value caused by the air conditioning unit in the machine room after the preset time, and calculate the heat generated by the battery pack after the preset time;

[0012] The spatial volume of the computer room where the battery pack is located is obtained, and a first temperature increase value caused by the heating of the battery pack in the computer room after a preset time is calculated;

[0013] A convection model between the computer room and the external environment is established, and based on the convection model between the computer room and the external environment, a second temperature increase value caused by air convection in the computer room after a preset time is calculated;

[0014] Predict the temperature of the computer room after a preset time to obtain a simulated temperature;

[0015] It is determined whether the difference between the simulated temperature and the real-time optimal operating temperature is greater than the preset temperature. If so, the identification is terminated and it is determined that the battery pack is not in the optimal operating state. If not, the identification is continued.

[0016] Preferably, the establishment of the energy storage operation model of the battery pack comprises the following steps:

[0017] Obtaining an energy storage power range of the battery pack, dividing the energy storage power range at equal intervals, and obtaining at least one energy storage point;

[0018] Obtain an operating temperature range of the battery pack during operation, divide the operating temperature range into equal intervals, and obtain at least one temperature point;

[0019] Select at least one of the energy storage points as a target energy storage point;

[0020] Under the condition that the temperature in the machine room is respectively a value at at least one temperature point, obtaining the energy storage efficiency of the battery group storing energy at the value at the target energy storage point;

[0021] Pairing the temperature point with the maximum energy storage efficiency with the target energy storage point to obtain a pairing group, and when the target energy storage point traverses at least one energy storage point, at least one pairing group is obtained;

[0022] At least one paired group is fitted to obtain an energy storage operation fitting function, and the energy storage operation fitting function is used as an energy storage operation model of the battery pack, wherein the target energy storage point is an independent variable and the temperature point is a dependent variable.

[0023] Preferably, obtaining the real-time optimal operating temperature of the battery pack based on the energy storage operation model and the real-time energy storage power comprises the following steps:

[0024] Substitute the real-time energy storage power into the energy storage operation fitting function to obtain the real-time optimal operating temperature of the battery pack.

[0025] Preferably, the step of calculating the temperature drop value caused by the air-conditioning unit in the machine room after a preset time comprises the following steps:

[0026] Get the specific heat capacity and air density of air;

[0027] Using the first specific heat formula, the heat in the computer room neutralized by the air-conditioning unit after a preset time is calculated as the neutralization heat, wherein the neutralization heat is a negative value;

[0028] Using the second specific heat formula, calculate the inherent heat in the room;

[0029] The neutralization heat is added to the inherent heat to obtain the dissipation heat, and the neutralization temperature is calculated using the third specific heat formula;

[0030] The real-time temperature in the equipment room minus the neutralization temperature is used to obtain the temperature drop value.

[0031] The first specific heat formula is as follows:

[0032]

[0033] Among them, A is the neutralization heat, c is the specific heat capacity of air, v is the real-time fresh air speed, t is the preset time, p is the air density, To output temperature in real time;

[0034] The second specific heat formula is as follows:

[0035]

[0036] Among them, B is the inherent heat, V is the spatial volume of the computer room, The real-time temperature in the equipment room;

[0037] The third specific heat formula is as follows:

[0038]

[0039] in, is the neutralization temperature and D is the heat of dissipation.

[0040] Preferably, the calculation of the heat generated by the battery pack after a preset time comprises the following steps:

[0041] Use the power formula to calculate the operating current of the battery pack;

[0042] Use the heat formula to calculate the running heat;

[0043] The power formula is as follows:

[0044]

[0045] Among them, I is the operating current, P is the real-time energy storage power, and U is the real-time input voltage;

[0046] The calorie formula is as follows:

[0047]

[0048] Wherein, Q is the heat generated during operation, R is the total resistance of the battery pack, and t is the preset time.

[0049] Preferably, the step of calculating a first temperature increase value caused by the heating of the battery pack in the machine room after a preset time comprises the following steps:

[0050] Obtain the specific heat capacity of the battery pack and the mass of the battery pack;

[0051] The inherent heat and the operating heat are added together to obtain the comprehensive heat.

[0052] Based on the comprehensive heat, the heat-affecting temperature is calculated using the fourth specific heat formula;

[0053] The first temperature increase value is obtained by subtracting the real-time temperature in the equipment room from the heating impact temperature;

[0054] The fourth specific heat formula is as follows:

[0055]

[0056] in, is the temperature affected by heat, E is the comprehensive heat, C is the specific heat capacity of the battery pack, and m is the mass of the battery pack.

[0057] Preferably, the establishment of the convection model between the computer room and the external environment comprises the following steps:

[0058] Acquire at least one position in the computer room where air is exchanged with the outside world as a characteristic position;

[0059] A flow velocity measuring device is set at a characteristic position. If the flow velocity measuring device indicates a value greater than 0, the air is exhausted from the machine room. If the flow velocity measuring device indicates a value less than 0, the air flows into the machine room.

[0060] Obtain a fresh air speed range of the air conditioning unit, divide the fresh air speed range into equal intervals, and obtain at least one speed point;

[0061] Under the condition that the fresh air velocity is the value at the velocity point, obtaining a flow velocity measurement value of at least one flow velocity measurement device;

[0062] Take the average of the flow velocity measurements less than 0 to get the average flow velocity, take the absolute value of the average flow velocity to get the average air flow velocity value;

[0063] The values ​​at the velocity points are paired and fitted with the average air flow rate values ​​to obtain a convection fitting function, in which the values ​​at the velocity points are independent variables and the average air flow rate values ​​are dependent variables.

[0064] Preferably, the step of calculating the second temperature increase value caused by air convection in the machine room after a preset time comprises the following steps:

[0065] Get the air temperature outside the computer room, substitute the real-time fresh air speed into the convection fitting function, and get the real-time convection speed;

[0066] Using the fifth specific heat formula, the convection supplementary heat is calculated;

[0067] The inherent heat and the convection supplementary heat are superimposed to obtain the fitted heat;

[0068] According to the fitted heat, the convection-affected temperature is calculated using the sixth specific heat formula;

[0069] The convection-affected temperature minus the real-time temperature in the equipment room is used to obtain a second temperature increase value;

[0070] The fifth specific heat formula is as follows:

[0071]

[0072] Among them, F is the convection heat, c is the specific heat capacity of air, k is the real-time convection speed, t is the preset time, p is the air density, is the air temperature outside the computer room;

[0073] The sixth specific heat formula is as follows:

[0074]

[0075] in, is the temperature affected by convection, G is the fitted heat, and V is the spatial volume of the computer room.

[0076] Preferably, predicting the temperature of the computer room after a preset time to obtain a simulated temperature comprises the following steps:

[0077] The real-time temperature in the equipment room, the first temperature increase value, and the second temperature increase value are added together, and the temperature drop value is subtracted to obtain the simulated temperature.

[0078] Compared with the prior art, the present invention has the following beneficial effects:

[0079] By establishing an energy storage operation model for the battery pack and a convection model for the computer room and the external environment, and calculating the temperature drop value, the first temperature increase value, and the second temperature increase value, a simulated temperature can be obtained, which can then be compared with the real-time temperature in the computer room. This allows for advance prediction of the situation after a preset time, and the effects of various major factors affecting the temperature in the computer room can be combined to determine whether the operating state of the energy storage equipment after the preset time is optimal, and to make timely pre-adjustments to avoid affecting the energy storage efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0080] Figure 1 It is a flow chart of the method for identifying the operating status of an energy storage device based on internal and external environment monitoring of the present invention;

[0081] Figure 2 A schematic diagram of a flow chart of establishing an energy storage operation model of a battery pack according to the present invention;

[0082] Figure 3 A schematic diagram of a flow chart of the present invention for calculating the temperature drop value caused by the air-conditioning unit in the machine room after a preset time;

[0083] Figure 4 A schematic diagram of a flow chart of the present invention for calculating the heat generated by the battery pack after a preset time;

[0084] Figure 5 A schematic diagram of a flow chart of the present invention for calculating a first temperature increase value caused by heating of a battery pack in a machine room after a preset time;

[0085] Figure 6 A schematic diagram of a process for establishing a convection model between a computer room and an external environment according to the present invention;

[0086] Figure 7 The present invention is a flow chart of calculating a second temperature increase value caused by air convection in a machine room after a preset time. DETAILED DESCRIPTION

[0087] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0088] Reference Figure 1 As shown, a method for identifying the operating status of an energy storage device based on internal and external environment monitoring includes:

[0089] Obtain the battery pack used for energy storage in the energy storage device, obtain the real-time energy storage power of the battery pack, and obtain the air conditioning unit used for temperature control in the energy storage device;

[0090] Establish an energy storage operation model for the battery pack, and obtain the real-time optimal operating temperature of the battery pack based on the energy storage operation model and real-time energy storage power;

[0091] The time when the difference between the real-time temperature in the room where the battery pack is located and the real-time optimal operating temperature is greater than the preset temperature is taken as the target time, and it is determined whether the total length of the target time is greater than the preset value. If so, the identification is terminated and it is determined that the battery pack is in a non-optimal operating state. If not, the identification is continued;

[0092] When continuing the identification, the real-time output temperature and real-time fresh air speed of the air-conditioning unit are obtained, and the total resistance and real-time input voltage of the battery pack are obtained;

[0093] Calculate the temperature drop value caused by the air conditioning unit in the machine room after the preset time, and calculate the heat generated by the battery pack after the preset time;

[0094] The spatial volume of the computer room where the battery pack is located is obtained, and a first temperature increase value caused by the heating of the battery pack in the computer room after a preset time is calculated;

[0095] A convection model between the computer room and the external environment is established, and based on the convection model between the computer room and the external environment, a second temperature increase value caused by air convection in the computer room after a preset time is calculated;

[0096] Predict the temperature of the computer room after a preset time to obtain a simulated temperature;

[0097] It is determined whether the difference between the simulated temperature and the real-time optimal operating temperature is greater than the preset temperature. If so, the identification is terminated and it is determined that the battery pack is not in the optimal operating state. If not, the identification is continued.

[0098] The real-time energy storage power of the battery pack is affected by its operating temperature. Because the battery pack works by dissipating heat, the temperature will not be too low. When the temperature is too high, the storage performance of the battery pack will change, resulting in poor storage efficiency. In order to avoid this situation, it is necessary to predict and identify the operating temperature in advance and make adjustments in advance. However, the operating temperature in the computer room is affected by two main factors, namely the air convection entering the computer room and the heat dissipated by the battery pack. Therefore, in order to make accurate predictions, these two situations need to be taken into consideration in the identification.

[0099] Reference Figure 2 As shown, establishing the energy storage operation model of the battery pack includes the following steps:

[0100] Obtaining an energy storage power range of the battery pack, dividing the energy storage power range at equal intervals, and obtaining at least one energy storage point;

[0101] Obtain an operating temperature range of the battery pack during operation, divide the operating temperature range into equal intervals, and obtain at least one temperature point;

[0102] Select at least one of the energy storage points as a target energy storage point;

[0103] Under the condition that the temperature in the machine room is respectively a value at at least one temperature point, obtaining the energy storage efficiency of the battery group storing energy at the value at the target energy storage point;

[0104] Pairing the temperature point with the maximum energy storage efficiency with the target energy storage point to obtain a pairing group, and when the target energy storage point traverses at least one energy storage point, at least one pairing group is obtained;

[0105] At least one paired group is fitted to obtain an energy storage operation fitting function, and the energy storage operation fitting function is used as an energy storage operation model of the battery pack, wherein the target energy storage point is an independent variable and the temperature point is a dependent variable.

[0106] When the battery pack operates at different energy storage powers, the heat it emits is different. Therefore, the ambient temperature in the working environment to neutralize this part of the heat will also be different. Therefore, it is necessary to establish an energy storage operation model in order to obtain the optimal operating temperature corresponding to different energy storage power conditions, so as to carry out subsequent identification and judgment.

[0107] Based on the energy storage operation model and the real-time energy storage power, obtaining the real-time optimal operating temperature of the battery pack includes the following steps:

[0108] Substitute the real-time energy storage power into the energy storage operation fitting function to obtain the real-time optimal operating temperature of the battery pack.

[0109] Reference Figure 3 As shown, calculating the temperature drop value caused by the air conditioning unit in the machine room after a preset time includes the following steps:

[0110] Get the specific heat capacity and air density of air;

[0111] Using the first specific heat formula, the heat in the computer room neutralized by the air-conditioning unit after a preset time is calculated as the neutralization heat, wherein the neutralization heat is a negative value;

[0112] Using the second specific heat formula, calculate the inherent heat in the room;

[0113] The neutralization heat is added to the inherent heat to obtain the dissipation heat, and the neutralization temperature is calculated using the third specific heat formula;

[0114] The real-time temperature in the equipment room minus the neutralization temperature is used to obtain the temperature drop value.

[0115] The first specific heat formula is as follows:

[0116]

[0117] Among them, A is the neutralization heat, c is the specific heat capacity of air, v is the real-time fresh air speed, t is the preset time, p is the air density, To output temperature in real time;

[0118] The second specific heat formula is as follows:

[0119]

[0120] Among them, B is the inherent heat, V is the spatial volume of the computer room, The real-time temperature in the equipment room;

[0121] The third specific heat formula is as follows:

[0122]

[0123] in, is the neutralization temperature and D is the heat of dissipation.

[0124] The air conditioning unit continuously sprays cold air into the computer room, thereby reducing the heat in the computer room and achieving a cooling effect. When calculating the neutralization heat A sprayed by the air conditioning unit, it is necessary to calculate the fresh air volume within the preset time, and calculate its neutralization heat relative to the temperature in the computer room according to the first specific heat formula. At the same time, it is also necessary to calculate the inherent heat in the computer room. Thus, the influence of the air conditioning unit on the heat in the computer room can be superimposed, and the temperature drop value caused by the influence can be inferred. Here, the temperature sprayed by the air conditioning unit cannot be directly added or subtracted from the temperature in the computer room, because the components of the temperature carriers of the two are different and cannot be directly added or subtracted.

[0125] Reference Figure 4 As shown, calculating the heat generated by the battery pack after a preset time includes the following steps:

[0126] Use the power formula to calculate the operating current of the battery pack;

[0127] Use the heat formula to calculate the running heat;

[0128] The power formula is as follows:

[0129]

[0130] Among them, I is the operating current, P is the real-time energy storage power, and U is the real-time input voltage;

[0131] The calorie formula is as follows:

[0132]

[0133] Wherein, Q is the heat generated during operation, R is the total resistance of the battery pack, and t is the preset time.

[0134] The heat generated during operation will affect the temperature in the computer room. Therefore, it is necessary to calculate the heat generated during operation and convert the increase in the temperature in the computer room into an accurate value. Similarly, the temperature of the battery pack itself cannot be directly added to the temperature in the computer room because the two have different components. Therefore, the heat corresponding to the two is superimposed, and the first temperature increase value is inferred based on the superimposed heat, and then the temperature change in the computer room caused by the heating of the battery pack after a preset time is obtained.

[0135] Reference Figure 5 As shown, calculating the first temperature increase value caused by the heating of the battery pack in the machine room after the preset time includes the following steps:

[0136] Obtain the specific heat capacity of the battery pack and the mass of the battery pack;

[0137] The inherent heat and the operating heat are added together to obtain the comprehensive heat.

[0138] Based on the comprehensive heat, the heat-affecting temperature is calculated using the fourth specific heat formula;

[0139] The first temperature increase value is obtained by subtracting the real-time temperature in the equipment room from the heating impact temperature;

[0140] The fourth specific heat formula is as follows:

[0141]

[0142] in, is the temperature affected by heat, E is the comprehensive heat, C is the specific heat capacity of the battery pack, and m is the mass of the battery pack.

[0143] Reference Figure 6 As shown, establishing the convection model between the computer room and the external environment includes the following steps:

[0144] Acquire at least one position in the computer room where air is exchanged with the outside world as a characteristic position;

[0145] A flow velocity measuring device is set at a characteristic position. If the flow velocity measuring device indicates a value greater than 0, the air is exhausted from the machine room. If the flow velocity measuring device indicates a value less than 0, the air flows into the machine room.

[0146] Obtain a fresh air speed range of the air conditioning unit, divide the fresh air speed range into equal intervals, and obtain at least one speed point;

[0147] Under the condition that the fresh air velocity is the value at the velocity point, obtaining a flow velocity measurement value of at least one flow velocity measurement device;

[0148] Take the average of the flow velocity measurements less than 0 to get the average flow velocity, take the absolute value of the average flow velocity to get the average air flow velocity value;

[0149] The values ​​at the velocity points are paired and fitted with the average air flow rate values ​​to obtain a convection fitting function, in which the values ​​at the velocity points are independent variables and the average air flow rate values ​​are dependent variables.

[0150] During air convection, the air flowing outwards is the air ejected by the air conditioning unit, which causes the pressure inside the computer room to increase and the air flows out spontaneously. The influence of the air ejected by the air conditioning unit has been considered in the above discussion. Therefore, the situation of air outflow is not considered, and only the situation of external air flowing into the computer room is considered. Because the external air is different from the air inside the computer room, it is necessary to determine its impact on the temperature inside the computer room. Similarly, due to the different weights of the two parts of air, their temperatures cannot be directly added. Therefore, the heat calculation of the two parts is performed, and the second temperature increase value is obtained by reverse deduction. Here, the heat calculation of the external air is determined based on the amount of air flowing in. Since the computer room is well sealed, its inflow is mainly affected by the fresh air situation of the internal air conditioning unit, because it determines the pressure inside the computer room, and the pressure of the external air is basically a standard atmospheric pressure. Therefore, a convection model between the computer room and the external environment is established based on the fresh air situation of the air conditioning unit.

[0151] Reference Figure 7 As shown, calculating the second temperature increase value caused by air convection in the machine room after a preset time includes the following steps:

[0152] Get the air temperature outside the computer room, substitute the real-time fresh air speed into the convection fitting function, and get the real-time convection speed;

[0153] Using the fifth specific heat formula, the convection supplementary heat is calculated;

[0154] The inherent heat and the convection supplementary heat are superimposed to obtain the fitted heat;

[0155] According to the fitted heat, the convection-affected temperature is calculated using the sixth specific heat formula;

[0156] The convection-affected temperature minus the real-time temperature in the equipment room is used to obtain a second temperature increase value;

[0157] The fifth specific heat formula is as follows:

[0158]

[0159] Among them, F is the convection heat, c is the specific heat capacity of air, k is the real-time convection speed, t is the preset time, p is the air density, is the air temperature outside the computer room;

[0160] The sixth specific heat formula is as follows:

[0161]

[0162] in, is the temperature affected by convection, G is the fitted heat, and V is the spatial volume of the computer room.

[0163] Predicting the temperature of the equipment room after a preset time and obtaining the simulated temperature includes the following steps:

[0164] The real-time temperature in the equipment room, the first temperature increase value, and the second temperature increase value are added together, and the temperature drop value is subtracted to obtain the simulated temperature.

[0165] Furthermore, the present solution also proposes a storage medium on which a computer-readable program is stored. When the computer-readable program is called, the above-mentioned method for identifying the operating status of an energy storage device based on internal and external environment monitoring is executed.

[0166] It is understandable that the storage medium may be a magnetic medium, such as a floppy disk, a hard disk, or a magnetic tape; an optical medium, such as a DVD; or a semiconductor medium, such as a solid state drive (SSD).

[0167] In summary, the advantages of the present invention are: by establishing an energy storage operation model of the battery pack and a convection model of the computer room and the external environment, and calculating the temperature drop value, the first temperature increase value and the second temperature increase value, a simulated temperature can be obtained, which is then compared with the real-time temperature in the computer room, and the situation after a preset time can be predicted in advance, so that the effects of various major factors affecting the temperature in the computer room can be integrated, and it can be judged whether the operating state of the energy storage equipment after the preset time is the optimal state, and then timely pre-adjustment can be made to avoid affecting the energy storage efficiency.

[0168] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. A method for identifying the operating status of an energy storage device based on internal and external environment monitoring, characterized in that: include: Obtain the battery pack used for energy storage in the energy storage device, obtain the real-time energy storage power of the battery pack, and obtain the air conditioning unit used for temperature control in the energy storage device; Establish an energy storage operation model for the battery pack, and obtain the real-time optimal operating temperature of the battery pack based on the energy storage operation model and real-time energy storage power; The time when the difference between the real-time temperature in the room where the battery pack is located and the real-time optimal operating temperature is greater than the preset temperature is taken as the target time, and it is determined whether the total length of the target time is greater than the preset value. If so, the identification is terminated and it is determined that the battery pack is in a non-optimal operating state. If not, the identification is continued; When continuing the identification, the real-time output temperature and real-time fresh air speed of the air-conditioning unit are obtained, and the total resistance and real-time input voltage of the battery pack are obtained; Calculate the temperature drop value caused by the air conditioning unit in the machine room after the preset time, and calculate the heat generated by the battery pack after the preset time; The spatial volume of the computer room where the battery pack is located is obtained, and a first temperature increase value caused by the heating of the battery pack in the computer room after a preset time is calculated; A convection model between the computer room and the external environment is established, and based on the convection model between the computer room and the external environment, a second temperature increase value caused by air convection in the computer room after a preset time is calculated; Predict the temperature of the computer room after a preset time to obtain a simulated temperature; It is determined whether the difference between the simulated temperature and the real-time optimal operating temperature is greater than the preset temperature. If so, the identification is terminated and it is determined that the battery pack is not in the optimal operating state. If not, the identification is continued.

2. A method for identifying the operating status of an energy storage device based on internal and external environment monitoring according to claim 1, characterized in that: The energy storage operation model of the battery pack is established, comprising the following steps: Obtaining an energy storage power range of the battery pack, dividing the energy storage power range at equal intervals, and obtaining at least one energy storage point; Obtain an operating temperature range of the battery pack during operation, divide the operating temperature range into equal intervals, and obtain at least one temperature point; Select at least one of the energy storage points as a target energy storage point; Under the condition that the temperature in the machine room is respectively a value at at least one temperature point, obtaining the energy storage efficiency of the battery group storing energy at the value at the target energy storage point; Pairing the temperature point with the maximum energy storage efficiency with the target energy storage point to obtain a pairing group, and when the target energy storage point traverses at least one energy storage point, at least one pairing group is obtained; At least one paired group is fitted to obtain an energy storage operation fitting function, and the energy storage operation fitting function is used as an energy storage operation model of the battery pack, wherein the target energy storage point is an independent variable and the temperature point is a dependent variable.

3. A method for identifying the operating status of an energy storage device based on internal and external environment monitoring according to claim 2, characterized in that: The method of obtaining the real-time optimal operating temperature of the battery pack based on the energy storage operation model and the real-time energy storage power comprises the following steps: Substitute the real-time energy storage power into the energy storage operation fitting function to obtain the real-time optimal operating temperature of the battery pack.

4. The method for identifying the operating status of an energy storage device based on internal and external environment monitoring according to claim 3 is characterized in that: The calculation of the temperature drop value caused by the air conditioning unit in the machine room after the preset time comprises the following steps: Get the specific heat capacity and air density of air; Using the first specific heat formula, the heat in the computer room neutralized by the air-conditioning unit after a preset time is calculated as the neutralization heat, wherein the neutralization heat is a negative value; Using the second specific heat formula, calculate the inherent heat in the room; The neutralization heat is added to the inherent heat to obtain the dissipation heat, and the neutralization temperature is calculated using the third specific heat formula; The real-time temperature in the equipment room minus the neutralization temperature is used to obtain the temperature drop value. The first specific heat formula is as follows: Among them, A is the neutralization heat, c is the specific heat capacity of air, v is the real-time fresh air speed, t is the preset time, p is the air density, To output temperature in real time; The second specific heat formula is as follows: Among them, B is the inherent heat, V is the spatial volume of the computer room, The real-time temperature in the equipment room; The third specific heat formula is as follows: in, is the neutralization temperature and D is the heat of dissipation.

5. A method for identifying the operating status of an energy storage device based on internal and external environment monitoring according to claim 4, characterized in that: The calculation of the heat generated by the battery pack after a preset time comprises the following steps: Use the power formula to calculate the operating current of the battery pack; Use the heat formula to calculate the running heat; The power formula is as follows: Among them, I is the operating current, P is the real-time energy storage power, and U is the real-time input voltage; The calorie formula is as follows: Wherein, Q is the heat generated during operation, R is the total resistance of the battery pack, and t is the preset time.

6. A method for identifying the operating status of an energy storage device based on internal and external environment monitoring according to claim 5, characterized in that: The calculation of the first temperature increase value caused by the heating of the battery pack in the machine room after the preset time comprises the following steps: Obtain the specific heat capacity of the battery pack and the mass of the battery pack; The inherent heat and the operating heat are added together to obtain the comprehensive heat. Based on the comprehensive heat, the heat-affecting temperature is calculated using the fourth specific heat formula; The first temperature increase value is obtained by subtracting the real-time temperature in the equipment room from the heating impact temperature; The fourth specific heat formula is as follows: in, is the temperature affected by heat, E is the comprehensive heat, C is the specific heat capacity of the battery pack, and m is the mass of the battery pack.

7. A method for identifying the operating status of an energy storage device based on internal and external environment monitoring according to claim 6, characterized in that: The establishment of the convection model between the computer room and the external environment comprises the following steps: Acquire at least one position in the computer room where air is exchanged with the outside world as a characteristic position; A flow velocity measuring device is set at a characteristic position. If the flow velocity measuring device indicates a value greater than 0, the air is exhausted from the machine room. If the flow velocity measuring device indicates a value less than 0, the air flows into the machine room. Obtain a fresh air speed range of the air conditioning unit, divide the fresh air speed range into equal intervals, and obtain at least one speed point; Under the condition that the fresh air velocity is the value at the velocity point, obtaining a flow velocity measurement value of at least one flow velocity measurement device; Take the average of the flow velocity measurements less than 0 to get the average flow velocity, take the absolute value of the average flow velocity to get the average air flow velocity value; The values ​​at the velocity points are paired and fitted with the average air flow rate values ​​to obtain a convection fitting function, in which the values ​​at the velocity points are independent variables and the average air flow rate values ​​are dependent variables.

8. The method for identifying the operating status of an energy storage device based on internal and external environment monitoring according to claim 7, characterized in that: The calculation of the second temperature increase value caused by air convection in the machine room after the preset time comprises the following steps: Get the air temperature outside the computer room, substitute the real-time fresh air speed into the convection fitting function, and get the real-time convection speed; Using the fifth specific heat formula, the convection supplementary heat is calculated; The inherent heat and the convection supplementary heat are superimposed to obtain the fitted heat; According to the fitted heat, the convection-affected temperature is calculated using the sixth specific heat formula; The convection-affected temperature minus the real-time temperature in the equipment room is used to obtain a second temperature increase value; The fifth specific heat formula is as follows: Among them, F is the convection heat, c is the specific heat capacity of air, k is the real-time convection speed, t is the preset time, p is the air density, is the air temperature outside the computer room; The sixth specific heat formula is as follows: in, is the temperature affected by convection, G is the fitted heat, and V is the spatial volume of the computer room.

9. The method for identifying the operating status of an energy storage device based on internal and external environment monitoring according to claim 8, characterized in that: The method of predicting the temperature of the computer room after a preset time to obtain a simulated temperature comprises the following steps: The real-time temperature in the equipment room, the first temperature increase value, and the second temperature increase value are added together, and the temperature drop value is subtracted to obtain the simulated temperature.

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