Cabinet type energy storage system used outdoors

Abstract

The invention relates to the technical field of energy storage cabinets, and discloses an outdoor cabinet type energy storage system, which comprises the steps of performing data acquisition on monitoring information of an environment monitoring sensor, a battery module and a communication state of an energy storage cabinet based on an outdoor energy storage cabinet environment; according to parameters detected by an environment monitoring sensor arranged in the energy storage cabinet and a load state of a battery module, whether each parameter exceeds a set threshold value is analyzed, and information of exceeding the threshold value is fed back to an early warning and alarming end through a communication network; the method is based on the temperature of the battery module and the temperature of the external environment of the energy storage cabinet under 75-93% load of the battery module. By quantizing the communication state coefficient and combining multi-dimensional analysis of communication signal strength, delay and transmission rate, the problem that a traditional system is low in communication reliability is solved, it is ensured that the system function can still be maintained through the standby power module in a weak signal environment, and remote management interruption is avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of energy storage cabinets, and in particular to a cabinet-type energy storage system for outdoor use. Background Art

[0002] Traditional outdoor energy storage cabinets lack efficient environmental monitoring and dynamic control mechanisms. Especially in extreme temperature conditions, battery modules are prone to overheating or overcooling, leading to performance degradation or even failure, impacting system stability. Furthermore, in remote or complex environments, communication signals between the energy storage system and the remote monitoring platform are often interrupted due to insufficient signal strength or excessive latency, rendering remote monitoring ineffective. Existing technologies lack quantitative analysis of communication status and are unable to intelligently switch to backup power when the communication signal is weak (e.g., below -90dBm), posing a risk of system loss of control.

[0003] An existing patent discloses an outdoor cabinet-type energy storage system (publication number CN111431200A), which belongs to the field of energy storage technology. The energy storage system includes a cabinet; a battery cluster for storing electrical energy; and a bidirectional converter connected to the distribution network using a three-phase, four-wire system. This existing patent determines battery status based solely on a fixed threshold, failing to consider the correlation between load ranges (e.g., 75%-93%) and temperature fluctuations, making it difficult to accurately predict battery anomalies. Furthermore, the anomaly detection method disclosed in this patent tends to overlook the dynamic relationship between battery temperature and the external ambient temperature, leading to false or missed alarms, impacting battery life and safety. Summary of the Invention

[0004] In order to solve the existing technical problems, the present invention provides a cabinet-type energy storage system for outdoor use, which solves the problems in the above-mentioned background technology.

[0005] To solve the above technical problems, according to one aspect of the present invention, more specifically, a cabinet-type energy storage system for outdoor use, comprising: Based on the outdoor energy storage cabinet environment, data collection is performed on the environmental monitoring sensor monitoring information, battery module and communication status of the energy storage cabinet; Based on the parameters detected by the energy storage cabinet's built-in environmental monitoring sensors and the load status of the battery modules, the system analyzes whether each parameter exceeds the set threshold and feeds back the threshold-exceeding information to the early warning alarm terminal via the communication network. The decision to call the backup power module is based on the battery module temperature and the temperature of the energy storage cabinet's external environment when the battery module is under 75%-93% load, and the communication status coefficient when the energy storage cabinet's communication signal strength is below -90dBm. Based on feedback from the communication network or backup power module, the cabinet energy storage system activates the early warning alarm terminal and also feeds the early warning alarm back to the remote monitoring platform, which then decides how to control the thermal management module and energy management system module. Wherein, the data preprocessing includes: 1) Using the threshold method to calculate 3 Principle, identify and eliminate sensor data that exceeds a reasonable range; 2) Add UTC timestamps accurate to milliseconds to all sensor data and align data with different sampling frequencies through interpolation; 3) For short-term missing data, linear interpolation of the previous and next valid data is used to fill the gap; for long-term missing data, the battery load status is set to 75% by default to avoid false triggering of warnings.

[0006] Furthermore, the environmental monitoring sensor includes: Temperature sensor, used to monitor the temperature of the external environment of the energy storage cabinet; Battery module sensor, used to monitor the temperature of the battery module and the electronic control matched with the battery module.

[0007] Furthermore, the communication status includes the signal strength, delay speed, and data success transmission rate of the communication between the energy storage cabinet and the remote monitoring platform.

[0008] Furthermore, the abnormality of the battery model can be calculated based on the temperature of the battery module under 75%-93% load and the temperature of the external environment of the energy storage cabinet under this state, so: ; Where, Indicates the abnormal temperature of the battery module under 75%-93% load. The larger the value, the greater the impact of the battery module on the communication, electronic control, and monitoring functions in the energy storage cabinet; Indicates the temperature of the battery module at 75%-93% load; Indicates the current temperature of the external environment of the energy storage cabinet.

[0009] Furthermore, the cabinet energy storage system determines whether to call the backup power module based on the communication status coefficient and abnormality when the communication signal strength is below -90dBm, as follows: ; Where, Indicates the condition coefficient for calling the backup power module; It refers to the communication status coefficient when the communication signal strength is below -90dBm.

[0010] Furthermore, when When , it means that the cabinet energy storage system needs to call the backup power module to issue an early warning alarm; when , it means that the cabinet energy storage system does not need to call the backup power module to issue a warning alarm.

[0011] Furthermore, the cabinet-type energy storage system not only feeds back information exceeding the threshold to the early warning alarm terminal, but also increases the power of the heat dissipation device in the energy storage cabinet through the thermal management module and reduces the load of the energy storage cabinet through the energy management system module.

[0012] Furthermore, the early warning alarm terminal is used to alarm the real-time abnormal status of the energy storage cabinet.

[0013] The present invention provides a cabinet-type energy storage system for outdoor use. Compared with the existing technology, the present invention has the following effects: 1. This invention solves the problem of insufficient environmental adaptability of traditional systems by integrating environmental monitoring sensors and dynamic threshold analysis, significantly improving the real-time monitoring capability of parameters such as temperature and load, and ensuring the stable operation of the system in complex outdoor environments.

[0014] 2. The present invention proposes a battery abnormality calculation formula c and a conditional coefficient model to make up for the shortcomings of the existing technology in insufficient analysis of the relationship between battery load and temperature, achieve accurate early warning, effectively prevent thermal runaway and extend battery life.

[0015] 3. This invention solves the problem of low communication reliability in traditional systems by quantifying the communication status coefficient and combining it with a multi-dimensional analysis of communication signal strength, delay, and transmission rate. It ensures that the system function can still be maintained through the backup power module in a weak signal environment, avoiding remote management interruption.

[0016] 4. The present invention dynamically adjusts the heat dissipation power and load through the linkage control of the thermal management module and the energy management system, overcoming the shortcomings of the existing technology in insufficient energy efficiency optimization, achieving efficient heat dissipation and energy consumption reduction under abnormal conditions, and improving the overall energy efficiency of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 is a flow chart of the present invention; Figure 2 is a relationship diagram between the condition coefficient g and the state coefficient m in the present invention; Figure 3 is a relationship diagram between the condition coefficient g and the abnormality degree c in the present invention; Figure 4 This is a relationship diagram among the condition coefficient g, state coefficient m, and abnormality degree c in the present invention. DETAILED DESCRIPTION

[0018] In order to make the technical solution of the present invention clearer, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0019] Example 1 like Figure 1 According to one aspect of the present invention, a cabinet-type energy storage system for outdoor use is provided, comprising: collecting data on the cabinet's environmental monitoring sensor information, battery modules, and communication status within an outdoor energy storage cabinet environment; analyzing whether each parameter exceeds a set threshold based on parameters detected by the cabinet's built-in environmental monitoring sensors and the battery module's load status, and feeding back information indicating the threshold exceeds the threshold to an early warning alarm terminal via a communication network; determining whether to activate a backup power module based on the battery module's temperature and the cabinet's external environment temperature at 75%-93% load, and the communication status coefficient when the cabinet's communication signal strength is below -90dBm; activating the early warning alarm terminal based on feedback from the communication network or the backup power module, and feeding back the early warning alarm to a remote monitoring platform, which then makes decisions on controlling the thermal management module and energy management system module. By integrating environmental monitoring sensors with dynamic threshold analysis, the system overcomes the problem of insufficient environmental adaptability of traditional systems, significantly improving the real-time monitoring capabilities of parameters such as temperature and load, and ensuring stable operation of the system in complex outdoor environments.

[0020] The backup power module integrates an independent battery module and a wireless module with high power but limited transmission content. Through this module, it can only send alarm signals in remote environments or when interfered with.

[0021] In this embodiment, the environmental monitoring sensors include a temperature sensor for monitoring the temperature of the energy storage cabinet's external environment and a battery module sensor for monitoring the temperature of the battery modules and their associated electronic controls. This effectively avoids reliance on a single temperature sensor, which can be inaccurate in assessing the combined impact of battery load and the external environment, and hinders timely warning of potential risks.

[0022] Example 2 like Figure 1 As shown in the figure, the abnormality of the battery model can be calculated based on the temperature of the battery module under 75%-93% load and the temperature of the external environment of the energy storage cabinet under this state. Then, we have: ; Where, Indicates the abnormal temperature of the battery module under 75%-93% load. The larger the value, the greater the impact of the battery module on the communication, electronic control, and monitoring functions in the energy storage cabinet; Indicates the temperature of the battery module at 75%-93% load; Indicates the current temperature of the external environment of the energy storage cabinet.

[0023] Among them, the abnormal degree of temperature of any battery module under 75%-93% load is calculated. ℃, the current temperature of the external environment of the energy storage cabinet is ℃, then: ; From the above calculation, we can know that the temperature abnormality of the battery module under 75%-93% load is .

[0024] Example 3 like Figure 1 As shown, the communication status includes the signal strength, delay speed, and data transmission success rate between the energy storage cabinet and the remote monitoring platform. The calculation of the communication status coefficient when the communication signal strength is below -90dBm is:

[0025] Where, Refers to the communication status coefficient when the communication signal strength is below -90dBm; Indicates the number of successful communication transmissions per unit time; Indicates the total number of transmissions per unit time; Indicates the average delay of communication per unit time; Indicates the maximum allowed delay.

[0026] Then, the communication state coefficient is calculated at any time, and the number of successful communication transmissions per unit time is ;Total number of transmissions per unit time ; The average delay of communication per unit time is ;The maximum allowed delay is , then we have:

[0027] From the above calculation, we can know that the communication state coefficient during this time is .

[0028] Example 4 like Figure 1-4 As shown in the figure, the cabinet energy storage system determines whether to call the backup power module based on the communication status coefficient and abnormality when the communication signal strength is below -90dBm. ; Where, Indicates the condition coefficient for calling the backup power module; It refers to the communication status coefficient when the communication signal strength is below -90dBm.

[0029] The above formula is an empirical analysis conducted to solve practical problems in enterprises. The data obtained in turn and the characteristic relationships between the data are the external manifestations of the empirical formula. The reasoning process is as follows: 1) Fit the formula for the conditional coefficient g of the energy storage cabinet calling the backup power module.

[0030] The condition coefficient g for the energy storage cabinet to call the backup power module can be represented by the number of devices with abnormal communication status in the sample energy storage cabinet.

[0031] For example, if data from 100 energy storage cabinet samples is collected and manual evaluation shows that the degree of communication anomaly in a certain energy storage cabinet exceeds the data in the other 50 samples, then the condition coefficient g for the energy storage cabinet to call the backup power module is 50%.

[0032] Other data are calculated and fitted using data collected by the device itself.

[0033] 2) Establish a mathematical model for the relationship between the condition coefficient g and the state coefficient m (such as Figure 2 As shown in the figure, the red dots are the distribution of the 100 samples collected), then: (Formula 1) In the above formula 1, k represents an empirical constant for adjusting the sensitivity of the above model.

[0034] 3) Establish a mathematical model for the relationship between the condition coefficient g and the abnormality c (such as Figure 3 As shown in the figure, the red dots are the distribution of the 100 samples collected), then: (Formula 2) In the above formula 2, k represents an empirical constant for adjusting the sensitivity of the above model.

[0035] 4) Establish a mathematical model for the relationship between the condition coefficient g, state coefficient m, and abnormality c (such as Figure 4 As shown, the model shows that the state coefficient m and the abnormality degree c are inversely correlated), and combined with the characteristic relationship of the above formula 1 and formula 2, we have: g=(Formula 1)×(Formula 2) According to the above derivation, the condition coefficient g for the energy storage cabinet to call the backup power module is:

[0036] Among them, when the communication signal strength is below -90dBm, the communication state coefficient is The abnormal temperature of the battery module under 75%-93% load is When , then: ; From the above calculation, we can know that the condition coefficient for calling the backup power module is , then this means that the cabinet energy storage system needs to call the backup power module to issue an early warning alarm. And there are: Table 1 Some implementation parameters and energy storage cabinet communication status From the data in Table 1 above, we can see that when the sample data tends to infinity, the communication status of the energy storage cabinet will be divided by the value of g. When , it means that the cabinet energy storage system needs to call the backup power module to issue an early warning alarm; when , it means that the cabinet energy storage system does not need to call the backup power module to issue a warning alarm.

[0037] Example 5 like Figure 1 As shown, the cabinet-type energy storage system not only transmits information exceeding the threshold to the early warning alarm terminal, but also uses the thermal management module to increase the power of the cooling equipment within the energy storage cabinet and the energy management system module to reduce the load of the energy storage cabinet. The early warning alarm terminal is used to issue real-time alarms for abnormal conditions in the energy storage cabinet. Through the coordinated control of the thermal management module and the energy management system, the cooling power and load are dynamically adjusted, overcoming the shortcomings of existing technologies in energy efficiency optimization. Under abnormal conditions, efficient heat dissipation and energy consumption reduction are achieved, improving the overall energy efficiency of the system.

[0038] Example 5 In this embodiment, data preprocessing includes: 1) Using the threshold method to calculate 3 In principle, sensor data outside the reasonable range is identified and eliminated. If the external ambient temperature exceeds -40°C to +60°C (typical outdoor temperature range), it is considered an outlier; if the signal strength is below -120dBm (the hardware limit), it is marked as invalid data.

[0039] 2) Add millisecond-accurate UTC timestamps to all sensor data and align data with different sampling frequencies through interpolation; for example, the temperature sensor has 1Hz and the communication status has 0.5Hz.

[0040] 3) For short-term missing data (communication signal interruption <10 seconds), linear interpolation of the previous and next valid data is used to fill the gap; in the case of long-term missing data, the battery load status is set to 75% (the system's minimum load threshold) by default to avoid false triggering of warnings.

[0041] The above-described embodiments merely illustrate several implementations of the present invention, and while their descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art would be able to make numerous variations and improvements without departing from the spirit of the present invention, all of which fall within the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be determined by the appended claims.

Claims

1. A cabinet-type energy storage system for outdoor use, characterized in that: include: Based on the outdoor energy storage cabinet environment, the environmental monitoring sensor monitoring information of the energy storage cabinet, battery module and communication status data are collected after pre-processing; Based on the parameters detected by the energy storage cabinet's built-in environmental monitoring sensors and the load status of the battery modules, the system analyzes whether each parameter exceeds the set threshold and feeds back the threshold-exceeding information to the early warning alarm terminal via the communication network. The decision to call the backup power module is based on the battery module temperature and the temperature of the energy storage cabinet's external environment when the battery module is under 75%-93% load, and the communication status coefficient when the energy storage cabinet's communication signal strength is below -90dBm. Based on feedback from the communication network or backup power module, the cabinet energy storage system activates the early warning alarm terminal and also feeds the early warning alarm back to the remote monitoring platform, which then decides how to control the thermal management module and energy management system module. Wherein, the data preprocessing includes: 1) Using the threshold method to calculate 3 Principle, identify and eliminate sensor data that exceeds a reasonable range; 2) Add UTC timestamps accurate to milliseconds to all sensor data and align data with different sampling frequencies through interpolation; 3) For short-term missing data, linear interpolation of the previous and next valid data is used to fill the gap; for long-term missing data, the battery load status is set to 75% by default to avoid false triggering of warnings.

2. The outdoor cabinet energy storage system according to claim 1, characterized in that: The environmental monitoring sensor includes: Temperature sensor, used to monitor the temperature of the external environment of the energy storage cabinet; Battery module sensor, used to monitor the temperature of the battery module and the electronic control matched with the battery module.

3. The outdoor cabinet energy storage system according to claim 1, characterized in that: The communication status includes the signal strength, delay speed, and data transmission success rate of communication between the energy storage cabinet and the remote monitoring platform.

4. The outdoor cabinet energy storage system according to claim 1, characterized in that: The abnormality of the battery model can be calculated based on the temperature of the battery module under 75%-93% load and the temperature of the external environment of the energy storage cabinet under this state. Then, the following is true: ； Where, Indicates the abnormal temperature of the battery module under 75%-93% load. The larger the value, the greater the impact of the battery module on the communication, electronic control, and monitoring functions in the energy storage cabinet; Indicates the temperature of the battery module at 75%-93% load; Indicates the current temperature of the external environment of the energy storage cabinet.

5. The outdoor cabinet energy storage system according to claim 4, characterized in that: The cabinet energy storage system determines whether to call the backup power module based on the communication status coefficient and abnormality when the communication signal strength is below -90dBm. ； Where, Indicates the condition coefficient for calling the backup power module; It refers to the communication status coefficient when the communication signal strength is below -90dBm.

6. The outdoor cabinet energy storage system according to claim 5, characterized in that: when When , it means that the cabinet energy storage system needs to call the backup power module to issue an early warning alarm; when , it means that the cabinet energy storage system does not need to call the backup power module to issue a warning alarm.

7. The outdoor cabinet energy storage system according to claim 1, characterized in that: The cabinet-type energy storage system not only feeds back information exceeding the threshold to the early warning alarm terminal, but also increases the power of the heat dissipation equipment in the energy storage cabinet through the thermal management module and reduces the load of the energy storage cabinet through the energy management system module.

8. The outdoor cabinet energy storage system according to claim 1, characterized in that: The early warning alarm terminal is used to alarm the real-time abnormal status of the energy storage cabinet.

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