A cooling system for an energy storage cabinet

Abstract

The present invention discloses a cooling system for an energy storage cabinet, relating to the technical field of energy storage cabinets. The system comprises a monitoring center electrically connected to a data acquisition module, a data processing module, a data analysis module, and a cooling regulation module. The system collects real-time data from different areas within the energy storage cabinet, evaluates the temperature conditions within the cabinet based on the acquired temperature data and the importance of each area, and formulates an adaptive cooling strategy for the cabinet based on the evaluation results. This system effectively monitors the temperature conditions of important areas within the cabinet while enabling the use of a more reasonable cooling strategy based on the temperature conditions, thereby improving cooling efficiency.

Description

Technical Field

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

[0002] Lithium-ion batteries dominate the energy storage industry. During the charging and discharging process, lithium-ion batteries release large amounts of heat with high thermal density. If this heat cannot be removed promptly, it can cause localized heating of the lithium battery. In severe cases, it can lead to overheating or even combustion. Station-type energy storage cabinets generate over 4MW of thermal power during the charging and discharging process.

[0003] In the prior art, when the energy storage system is in operation, heat is usually dissipated throughout the entire process inside the energy storage cabinet. However, this heat dissipation method cannot be adaptively adjusted according to the internal temperature of the energy storage cabinet, resulting in low heat dissipation efficiency. How to select a more efficient heat dissipation method based on the internal temperature of the energy storage cabinet is a problem that needs to be solved. To this end, a cooling system for an energy storage cabinet is now provided. Summary of the Invention

[0004] The object of the present invention is to provide a cooling system for an energy storage cabinet.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] A cooling system for an energy storage cabinet includes a monitoring center electrically connected to a data acquisition module, a data processing module, a data analysis module, and a cooling adjustment module;

[0007] The data acquisition module is composed of several data acquisition terminals, which are arranged inside the energy storage cabinet and are used to collect temperature data inside the energy storage cabinet;

[0008] The data processing module is used to process the obtained temperature data to obtain the internal temperature evaluation coefficient of the energy storage cabinet;

[0009] The data analysis module is used to determine whether the internal temperature of the energy storage cabinet is abnormal based on the obtained internal temperature evaluation coefficient, and if so, generate a cooling adjustment instruction;

[0010] The cooling adjustment module formulates a corresponding cooling strategy according to the generated cooling adjustment instruction.

[0011] Furthermore, the process of the data acquisition module collecting temperature data inside the energy storage cabinet includes:

[0012] Dividing the internal space of the energy storage cabinet into a plurality of internal subspaces, placing data acquisition terminals at different positions inside the energy storage cabinet, and associating each data acquisition terminal with an internal subspace;

[0013] Label each internal subspace as i, where i = 1, 2, ..., n, n is an integer and n>1;

[0014] Set the corresponding importance coefficient for each internal subspace, denoted as Bx i ;

[0015] A data collection cycle T is set, and the corresponding temperature data acquired by each data collection terminal within each data collection cycle T is packaged to obtain a corresponding data packet; wherein the duration of the data collection cycle T is t.

[0016] Furthermore, the process of the data processing module processing the obtained temperature data includes:

[0017] Parse the obtained data packets to obtain the temperature data obtained by each data acquisition terminal;

[0018] The corresponding temperature change curve segment is generated according to the obtained temperature data, and the obtained temperature change curve segment is recorded as f i (t);

[0019] Construct a two-dimensional coordinate system of time with respect to temperature;

[0020] Mapping all the obtained temperature variation curve segments into a two-dimensional coordinate system;

[0021] Set the temperature threshold σ;

[0022] generating a corresponding temperature threshold line in the two-dimensional coordinate system according to the set temperature threshold;

[0023] According to the generated temperature change curve segments, the temperature manifestation value corresponding to each internal subspace is obtained, which is recorded as Wx i ;

[0024] in,

[0025] Associating the obtained temperature manifestation values ​​corresponding to each internal subspace with the corresponding internal subspace;

[0026] The internal temperature evaluation coefficient of the energy storage cabinet is obtained according to the obtained temperature manifestation value, which is recorded as PX;

[0027] in,

[0028] Furthermore, the process of the data analysis module determining whether the internal temperature of the energy storage cabinet is abnormal based on the obtained internal temperature evaluation coefficient includes:

[0029] Set the evaluation threshold P0;

[0030] When PX<P0, it means the internal temperature of the energy storage cabinet is normal;

[0031] When PX ≥ P0, it indicates that the internal temperature of the energy storage cabinet is abnormal, and a cooling adjustment instruction is generated.

[0032] Furthermore, the cooling adjustment module formulates a corresponding cooling strategy according to the generated cooling adjustment instruction, including:

[0033] According to the obtained temperature manifestation values ​​of the respective internal sub-regions, the respective internal sub-regions are sorted in descending order of the temperature manifestation values ​​to obtain a first sorting result;

[0034] According to the importance coefficient of each internal sub-region, the internal sub-regions are sorted in descending order of the importance coefficient to obtain a second sorting result;

[0035] According to the first sorting result, the internal sub-region is divided into three temperature sub-region sets, namely a first temperature sub-region set, a second temperature sub-region set, and a third temperature sub-region set;

[0036] According to the second sorting result, the internal sub-areas are divided into three importance area sets, namely a first importance area set, a second importance area set, and a third importance area set;

[0037] Match each inner sub-region in the first importance region set with each inner sub-region in the first temperature sub-region set to obtain a corresponding matching rate, denoted as Pp;

[0038] Match each inner sub-region in the first importance region set with each inner sub-region in the second temperature sub-region set to obtain the corresponding balance rate, which is recorded as Ph;

[0039] Match each inner sub-region in the first importance region set and the second importance region set with each inner sub-region in the third temperature sub-region set to obtain a corresponding correction rate, denoted as Jz;

[0040] If Pp≥Ph≥Jz or Pp≥Jz≥Ph, the first-level cooling strategy is adopted;

[0041] If Ph>Pp>Jz, a two-stage cooling strategy is adopted;

[0042] If Ph>Jz>Pp or Jz>Ph>Pp or Jz>Pp>Ph, a three-stage cooling strategy is adopted.

[0043] Furthermore, the matching rate is:

[0044] If an internal sub-region in the first importance region set is also in the first temperature sub-region set, it indicates a successful match. The ratio of the number of successfully matched internal sub-regions to the number of internal sub-regions in the first importance region set is the matching rate.

[0045] Furthermore, the balance rate is:

[0046] If an internal sub-region in the first importance region set is also in the third temperature sub-region set, it means that the match is successful. The ratio of the number of successfully matched internal sub-regions to the number of internal sub-regions in the second temperature sub-region set is the balance rate.

[0047] Furthermore, the correction rate is:

[0048] If an internal sub-region within the first importance region set and the second importance region set is also within the third temperature sub-region set, it means that the match is successful. The ratio of the number of successfully matched internal sub-regions to the total number of internal sub-regions within the first importance region set and the second importance region set is the correction rate.

[0049] Compared with the prior art, the present invention has the following advantages: by collecting real-time data from different areas inside the energy storage cabinet, the temperature conditions inside the energy storage cabinet are evaluated based on the obtained temperature data and the importance of each area. Based on the evaluation results, an adaptive cooling strategy is formulated for the interior of the energy storage cabinet. This effectively monitors the temperature conditions of important areas inside the energy storage cabinet while using a more reasonable cooling strategy based on the temperature conditions, thereby improving cooling efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 This is a schematic diagram of the present invention. DETAILED DESCRIPTION

[0051] like Figure 1 As shown, a cooling system for an energy storage cabinet includes a monitoring center, wherein the monitoring center is electrically connected to a data acquisition module, a data processing module, a data analysis module, and a cooling adjustment module;

[0052] The data acquisition module is composed of several data acquisition terminals, which are arranged inside the energy storage cabinet and are used to collect temperature data inside the energy storage cabinet;

[0053] The data processing module is used to process the obtained temperature data to obtain the internal temperature evaluation coefficient of the energy storage cabinet;

[0054] The data analysis module is used to determine whether the internal temperature of the energy storage cabinet is abnormal based on the obtained internal temperature evaluation coefficient, and if so, generate a cooling adjustment instruction;

[0055] The cooling adjustment module formulates a corresponding cooling strategy according to the generated cooling adjustment instruction.

[0056] The process of the data acquisition module collecting temperature data inside the energy storage cabinet includes:

[0057] Dividing the internal space of the energy storage cabinet into a plurality of internal subspaces, placing data acquisition terminals at different positions inside the energy storage cabinet, and associating each data acquisition terminal with an internal subspace;

[0058] Label each internal subspace as i, where i = 1, 2, ..., n, n is an integer and n>1;

[0059] Set the corresponding importance coefficient for each internal subspace, denoted as Bx i ;

[0060] Set a data collection cycle T, and package the corresponding temperature data acquired by each data collection terminal within each data collection cycle T to obtain a corresponding data packet; the duration of the data collection cycle T is t;

[0061] The obtained data packets are uploaded to the data processing module.

[0062] It should be further explained that, in a specific implementation, the process of the data processing module processing the obtained temperature data includes:

[0063] Parse the obtained data packets to obtain the temperature data obtained by each data acquisition terminal;

[0064] The corresponding temperature change curve segment is generated according to the obtained temperature data, and the obtained temperature change curve segment is recorded as f i (t);

[0065] Construct a two-dimensional coordinate system of time with respect to temperature;

[0066] Mapping all the obtained temperature variation curve segments into a two-dimensional coordinate system;

[0067] Set the temperature threshold σ;

[0068] generating a corresponding temperature threshold line in the two-dimensional coordinate system according to the set temperature threshold;

[0069] According to the generated temperature change curve segments, the temperature manifestation value corresponding to each internal subspace is obtained, which is recorded as Wx i ;

[0070] in,

[0071] Associating the obtained temperature manifestation values ​​corresponding to each internal subspace with the corresponding internal subspace;

[0072] The internal temperature evaluation coefficient of the energy storage cabinet is obtained according to the obtained temperature manifestation value, which is recorded as PX;

[0073] in,

[0074] The obtained internal temperature evaluation coefficient is uploaded to the data analysis module.

[0075] The process of the data analysis module determining whether the internal temperature of the energy storage cabinet is abnormal based on the obtained internal temperature evaluation coefficient includes:

[0076] Set the evaluation threshold P0;

[0077] When PX<P0, it means the internal temperature of the energy storage cabinet is normal;

[0078] When PX ≥ P0, it indicates that the internal temperature of the energy storage cabinet is abnormal, and a cooling adjustment instruction is generated.

[0079] It should be further explained that, in a specific implementation process, the cooling adjustment module performs state traversal on each internal subspace of the energy storage cabinet according to the generated cooling adjustment instruction, and formulates a corresponding cooling strategy based on the state traversal result. The specific process includes:

[0080] According to the obtained temperature manifestation values ​​of the respective internal sub-regions, the respective internal sub-regions are sorted in descending order of the temperature manifestation values ​​to obtain a first sorting result;

[0081] According to the importance coefficient of each internal sub-region, the internal sub-regions are sorted in descending order of the importance coefficient to obtain a second sorting result;

[0082] According to the first sorting result, the internal sub-region is divided into three temperature sub-region sets, namely a first temperature sub-region set, a second temperature sub-region set, and a third temperature sub-region set;

[0083] The temperature manifestation value range of the inner sub-region corresponding to the first sub-region set is [a1, b1], the temperature manifestation value range of the inner sub-region corresponding to the second sub-region set is [a2, b2], and the temperature manifestation value range of the inner sub-region corresponding to the third sub-region set is [a3, b3].

[0084] Among them, b1>a1>b2>a2>b3>a3;

[0085] According to the second sorting result, the internal sub-areas are divided into three importance area sets, namely a first importance area set, a second importance area set, and a third importance area set;

[0086] Each inner sub-region in the first importance region set is matched with each inner sub-region in the first temperature sub-region set to obtain a corresponding matching rate, which is recorded as Pp. It should be further explained that, in a specific implementation process, the matching rate is specifically:

[0087] If an internal sub-region in the first importance region set is also in the first temperature sub-region set, it means that the match is successful. The ratio of the number of successfully matched internal sub-regions to the number of internal sub-regions in the first importance region set is the matching rate.

[0088] Each internal sub-region in the first importance region set is matched with each internal sub-region in the second temperature sub-region set to obtain a corresponding balance ratio, which is recorded as Ph. It should be further explained that in the specific implementation process, the balance ratio is specifically:

[0089] If an internal sub-region in the first importance region set is also in the third temperature sub-region set, it means the match is successful. The ratio of the number of successfully matched internal sub-regions to the number of internal sub-regions in the second temperature sub-region set is the balance rate.

[0090] Each internal sub-region in the first importance region set and the second importance region set is matched with each internal sub-region in the third temperature sub-region set to obtain a corresponding correction rate, which is recorded as Jz. It should be further explained that in the specific implementation process, the correction rate is specifically:

[0091] If an internal sub-region within the first importance region set and the second importance region set is also within the third temperature sub-region set, it means that the match is successful. The ratio of the number of successfully matched internal sub-regions to the total number of internal sub-regions within the first importance region set and the second importance region set is the correction rate.

[0092] If Pp≥Ph≥Jz or Pp≥Jz≥Ph, the first-level cooling strategy is adopted;

[0093] If Ph>Pp>Jz, a two-stage cooling strategy is adopted;

[0094] If Ph>Jz>Pp or Jz>Ph>Pp or Jz>Pp>Ph, a three-stage cooling strategy is adopted;

[0095] It should be further explained that, in the specific implementation process, the cooling capacities corresponding to the first-level cooling strategy, the second-level cooling strategy and the third-level cooling strategy decrease in sequence, the first-level cooling strategy has the strongest cooling capacity, and the third-level cooling strategy has the worst cooling capacity.

[0096] The above embodiments are only used to illustrate the technical method of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A cooling system for an energy storage cabinet, comprising a monitoring center, characterized in that: The monitoring center is electrically connected to a data acquisition module, a data processing module, a data analysis module and a cooling adjustment module; The data acquisition module is composed of several data acquisition terminals, which are arranged inside the energy storage cabinet and are used to collect temperature data inside the energy storage cabinet; The data processing module is used to process the obtained temperature data to obtain the internal temperature evaluation coefficient of the energy storage cabinet; The data analysis module is used to determine whether the internal temperature of the energy storage cabinet is abnormal based on the obtained internal temperature evaluation coefficient, and if so, generate a cooling adjustment instruction; The cooling adjustment module formulates a corresponding cooling strategy according to the generated cooling adjustment instruction; The process of the data processing module processing the obtained temperature data includes: Parse the obtained data packets to obtain the temperature data obtained by each data acquisition terminal; Generate a corresponding temperature change curve segment according to the obtained temperature data, and record the obtained temperature change curve segment as fi(t); Construct a two-dimensional coordinate system of time with respect to temperature; Mapping all the obtained temperature variation curve segments into a two-dimensional coordinate system; Set the temperature threshold σ; generating a corresponding temperature threshold line in the two-dimensional coordinate system according to the set temperature threshold; According to each temperature change curve segment generated, the temperature manifestation value corresponding to each internal subspace is obtained, which is recorded as Wxi; in, Associating the obtained temperature manifestation values ​​corresponding to each internal subspace with the corresponding internal subspace; The internal temperature evaluation coefficient of the energy storage cabinet is obtained according to the obtained temperature manifestation value, which is recorded as PX; in, 2. The cooling system for an energy storage cabinet according to claim 1, characterized in that: The process of the data acquisition module collecting temperature data inside the energy storage cabinet includes: Dividing the internal space of the energy storage cabinet into a plurality of internal subspaces, placing data acquisition terminals at different positions inside the energy storage cabinet, and associating each data acquisition terminal with an internal subspace; Label each internal subspace as i, where i = 1, 2, ..., n, n is an integer and n>1; Set the corresponding importance coefficient for each internal subspace, denoted as Bx i ; A data collection cycle T is set, and the corresponding temperature data acquired by each data collection terminal within each data collection cycle T is packaged to obtain a corresponding data packet; wherein the duration of the data collection cycle T is t.

3. The cooling system for an energy storage cabinet according to claim 2, characterized in that: The process of the data analysis module determining whether the internal temperature of the energy storage cabinet is abnormal based on the obtained internal temperature evaluation coefficient includes: Set the evaluation threshold P0; When PX<P0, it means the internal temperature of the energy storage cabinet is normal; When PX ≥ P0, it indicates that the internal temperature of the energy storage cabinet is abnormal, and a cooling adjustment instruction is generated.

4. The cooling system for an energy storage cabinet according to claim 3, characterized in that: The process of the cooling adjustment module formulating a corresponding cooling strategy according to the generated cooling adjustment instruction includes: According to the obtained temperature manifestation values ​​of the respective internal sub-regions, the respective internal sub-regions are sorted in descending order of the temperature manifestation values ​​to obtain a first sorting result; According to the importance coefficient of each internal sub-region, the internal sub-regions are sorted in descending order of the importance coefficient to obtain a second sorting result; According to the first sorting result, the internal sub-region is divided into three temperature sub-region sets, namely a first temperature sub-region set, a second temperature sub-region set, and a third temperature sub-region set; According to the second sorting result, the internal sub-areas are divided into three importance area sets, namely a first importance area set, a second importance area set, and a third importance area set; Match each inner sub-region in the first importance region set with each inner sub-region in the first temperature sub-region set to obtain a corresponding matching rate, denoted as Pp; Match each inner sub-region in the first importance region set with each inner sub-region in the second temperature sub-region set to obtain the corresponding balance rate, which is recorded as Ph; Match each inner sub-region in the first importance region set and the second importance region set with each inner sub-region in the third temperature sub-region set to obtain a corresponding correction rate, denoted as Jz; If Pp≥Ph≥Jz or Pp≥Jz≥Ph, the first-level cooling strategy is adopted; If Ph>Pp>Jz, a two-stage cooling strategy is adopted; If Ph>Jz>Pp or Jz>Ph>Pp or Jz>Pp>Ph, a three-stage cooling strategy is adopted.

5. The cooling system for an energy storage cabinet according to claim 4, characterized in that: The matching rate is: If an internal sub-region in the first importance region set is also in the first temperature sub-region set, it indicates a successful match. The ratio of the number of successfully matched internal sub-regions to the number of internal sub-regions in the first importance region set is the matching rate.

6. The cooling system for an energy storage cabinet according to claim 4, characterized in that: The balance ratio is: If an internal sub-region in the first importance region set is also in the third temperature sub-region set, it means that the match is successful. The ratio of the number of successfully matched internal sub-regions to the number of internal sub-regions in the second temperature sub-region set is the balance rate.

7. The cooling system for an energy storage cabinet according to claim 4, characterized in that: The correction rate is: If an internal sub-region within the first importance region set and the second importance region set is also within the third temperature sub-region set, it means that the match is successful. The ratio of the number of successfully matched internal sub-regions to the total number of internal sub-regions within the first importance region set and the second importance region set is the correction rate.

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