A supercapacitor thermal management system

Abstract

This application relates to the field of capacitor technology, and in particular to a thermal management system for supercapacitors. It includes: a central control unit for establishing multiple thermal management zones based on the capacitor's equipment structure; an execution unit including multiple execution sub-modules located in each thermal management zone; wherein each execution sub-module includes an air-cooled substructure and a liquid-cooled substructure; the execution unit is used to control the operating temperature of each thermal management zone; and a sensing unit for setting multiple temperature monitoring points based on all thermal management zones; the sensing unit includes multiple temperature sensing modules located at each temperature monitoring point. Based on a modular design, the system performs regional coordinated control within the supercapacitor, and simultaneously, through simulation prediction and aging assessment, dynamically evaluates the cooling requirements of each thermal management zone, achieving smooth adjustment of the internal thermal management strategy of the supercapacitor, and extending the overall service life and reliability of the supercapacitor.

Description

Technical Field

[0001] This application relates to the field of capacitor technology, and in particular to a supercapacitor thermal management system. Background Technology

[0002] As high-power-density energy storage devices, supercapacitors' electrochemical performance, reliability, and lifespan are highly dependent on operating temperature. Existing thermal management systems suffer from several significant drawbacks. First, temperature field uniformity control is insufficient. Traditional air-cooling or liquid-cooling solutions are mostly monolithic designs, unable to finely control localized hotspots within the module due to structural and locational differences, leading to a "weakest link" effect and accelerating overall aging.

[0003] Secondly, management strategies are outdated and lack foresight. Mainstream systems rely on passive responses based on real-time temperature feedback, making it difficult to predict and proactively intervene in heat load based on real-time operating conditions (current, voltage) and historical data. This can easily lead to control delays or overshoots under dynamic operating conditions. Furthermore, multi-mode coordination is inefficient. Simple superposition or switching of cooling and heating modes results in complex systems with high energy consumption, and fails to achieve efficient coordination and seamless complementarity between air cooling, liquid cooling, and other mechanisms in time and space. Summary of the Invention

[0004] The purpose of this application is to provide a supercapacitor thermal management system to solve the above-mentioned technical problems, thereby improving the temperature control efficiency of supercapacitors and ensuring their operating efficiency.

[0005] In some embodiments of this application, the internal thermal management strategy of the supercapacitor is controlled in a modular manner by dividing the area. At the same time, the cooling demand of each thermal management zone is dynamically evaluated through simulation prediction and aging assessment, so as to achieve smooth adjustment of the internal thermal management strategy of the supercapacitor and extend the overall service life of the supercapacitor.

[0006] In some embodiments of this application, by constructing multiple temperature distribution fields, when abnormal temperature distribution patterns are detected, a preset strategy is invoked in a timely manner to intervene and suppress the risk of thermal runaway. At the same time, during the adjustment process, the gradient adjustment of abnormal temperature distribution is achieved through periodic judgment, thereby improving the temperature control efficiency of the supercapacitor and ensuring the operating efficiency of the supercapacitor.

[0007] In some embodiments of this application, a supercapacitor thermal management system is provided, including: The central control unit is used to establish multiple thermal management zones based on the equipment structure of the capacitor; The execution unit includes multiple execution sub-modules, which are located in various thermal management zones. Each execution submodule includes an air-cooled substructure and a liquid-cooled substructure; The execution unit is used to control the operating temperature of each thermal management zone; The sensing unit is used to set multiple temperature monitoring points according to all thermal management zones; The sensing unit includes multiple temperature sensing modules, which are installed at various temperature monitoring points. A temperature sensing array is constructed based on all temperature sensing modules, and the temperature sensing array is used to generate a temperature monitoring package for the capacitor. The sensing unit further includes: The monitoring submodule is used to generate the capacitor's running data package.

[0008] In some embodiments of this application, the central control unit includes: The first processing module is used to establish the thermal management partition sequence A, A=(a1, a2…a…). i …a n ), where a i Let i be the i-th thermal management partition; n is the number of thermal management partitions; The second processing module is used to establish a simulation control model; The second processing module is also used to acquire the running data packet and set the liquid cooling control parameters of the execution unit according to the running data packet and the simulation control model; The third processing module is used to establish an auxiliary control model; The third processing module is also used to acquire temperature monitoring data and set the operation correction parameters of the execution unit based on the temperature monitoring data and the auxiliary control model.

[0009] In some embodiments of this application, the establishment of the simulation control model includes: Obtain historical data of the capacitor; Simulation prediction models and aging assessment models are generated based on historical data; A compensation strategy library was established based on the aging assessment model. Establish a temperature-liquid cooling circulation volume mapping table based on historical data; A simulation control model is constructed, which includes: a simulation prediction model, an aging assessment model, a compensation strategy library, and a temperature-liquid cooling cycle volume mapping table.

[0010] In some embodiments of this application, the establishment of the compensation strategy library includes: Multiple aging nodes are set according to the aging assessment model; Establish an aging node sequence B, B = (b1, b2, ..., bn). i …b m ), where b i Let m be the i-th aging node; m is the number of aging nodes. Based on the aging node sequence B, bi is sequentially set as the target aging node; Generate a predictive compensation strategy for the target aging node based on historical data; The prediction compensation strategy for each aging node is set sequentially, and a compensation strategy library is established based on all the prediction compensation strategies.

[0011] In some embodiments of this application, the second processing module is further configured to: Multiple temperature control cycles can be preset; Obtain the running data packet for the current temperature control cycle; Based on the thermal management zoning sequence A, a is set sequentially. i Partition the target area; Acquire aging monitoring data for the target zone, and set the primary compensation strategy for the target zone based on the aging monitoring data and aging assessment model; Generate associated operational data for the target partition based on the operational data package, and generate the initial predicted temperature for the target partition based on the simulation prediction model and the associated operational data; The expected temperature of the target zone is generated based on the primary compensation strategy and the initial predicted temperature. Set the liquid cooling circulation volume of the target zone in the current temperature control cycle based on the expected temperature and the temperature-liquid cooling circulation volume mapping table; Sequentially set the liquid cooling circulation volume of each thermal management zone in the current temperature control cycle, and set the liquid cooling control parameters of the execution unit in the current temperature control cycle based on the total liquid cooling circulation volume.

[0012] In some embodiments of this application, the primary compensation strategy for setting the target partition includes: The expected aging status of the target zone is generated based on aging monitoring data; The expected aging state and the matching values ​​of each aging node are generated based on the aging assessment model. The prediction compensation strategy for the aging node corresponding to the maximum value among all matching values ​​is set as the first-level compensation strategy for the target partition.

[0013] In some embodiments of this application, the construction of the auxiliary regulation model includes: Obtain historical data of the capacitor; Multiple temperature distribution fields were constructed based on historical data; Establish the temperature distribution field sequence W, W=(w1, w2…w i …w r ), where w i Let r be the i-th temperature distribution field; r is the number of temperature distribution fields. Based on the temperature distribution field sequence W, w is set sequentially. i For the target temperature field; An auxiliary sub-strategy for generating the target temperature field based on historical data, the auxiliary sub-strategy including: liquid cooling adjustment amount and air cooling control parameters; Auxiliary sub-strategies are established sequentially for each temperature distribution field; Establish a deviation assessment model; An auxiliary control model is constructed based on the deviation assessment model and all auxiliary sub-strategies.

[0014] In some embodiments of this application, the third processing module is further configured to: Multiple feedback time points can be preset; Obtain the temperature monitoring package at the current feedback time point; The actual temperature of each thermal management zone at the current feedback time point is generated based on the temperature monitoring package; The deviation risk value f for the current feedback time point is generated based on the deviation assessment model and all actual temperature values. Preset deviation risk threshold F1; If f>F1, generate a first-level correction instruction and set the execution unit's operation correction parameters according to the first-level correction instruction.

[0015] In some embodiments of this application, generating the deviation risk value f at the current feedback time point includes: f=g*[ (t i -t') 2 ]; g=U1*[ (t i -t 1i )]; Where g is the deviation compensation coefficient; t i t' is the actual temperature of the i-th thermal management zone at the current feedback time point; t' is the average actual temperature of all thermal management zones at the current feedback time point; U1 is the preset first fixed coefficient; t 1i Let be the expected temperature of the i-th thermal management zone at the current feedback time point, and n be the number of thermal management zones.

[0016] In some embodiments of this application, the setting of the operation correction parameters of the execution unit includes: The deviation assessment model sets sub-deviation values ​​for each thermal management zone at the current feedback time point; Preset sub-deviation threshold H1; such as H1 <h i (i=1,2…n), the i-th thermal management partition is set as the partition to be corrected at the current feedback time point; Among them, h i Let be the sub-deviation value of the i-th thermal management zone; n is the number of thermal management zones; Get all partitions to be corrected; Select the target partitions to be corrected sequentially from all partitions to be corrected; A primary temperature field for the target correction zone is generated based on the temperature monitoring package; The execution auxiliary strategy for modifying the partition is based on the target set in the primary temperature field; Configure the execution support strategies for each partition to be corrected in sequence; Set correction time points based on deviation risk values; Obtain the temperature monitoring package at the corrected time point and generate auxiliary iteration instructions.

[0017] Compared with the prior art, the advantages of the supercapacitor thermal management system of this application are as follows: Based on modular design, the internal thermal management of the supercapacitor is controlled in different regions. Simulation prediction and aging assessment are used to dynamically evaluate the cooling requirements of each thermal management zone, so as to achieve smooth adjustment of the internal thermal management strategy of the supercapacitor and extend the overall service life and reliability of the supercapacitor.

[0018] By constructing multiple temperature distribution fields, when abnormal temperature distribution patterns are detected, preset strategies are invoked in a timely manner to intervene and suppress the risk of thermal runaway. At the same time, during the adjustment process, the abnormal temperature distribution is adjusted in a gradient through periodic judgment, thereby improving the temperature control efficiency of the supercapacitor and ensuring the operating efficiency of the supercapacitor. Attached Figure Description

[0019] Figure 1 This is a schematic diagram of the structure of a supercapacitor thermal management system in a preferred embodiment of this application. Detailed Implementation

[0020] The specific embodiments of this application will be described in further detail below with reference to the accompanying drawings and examples. The following examples are used to illustrate this application, but are not intended to limit the scope of this application.

[0021] In the description of this application, it should be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application.

[0022] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, unless otherwise stated, "a plurality of" means two or more.

[0023] In the description of this application, it should be noted that, unless otherwise expressly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection between two components. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances.

[0024] like Figure 1 As shown, a preferred embodiment of the supercapacitor thermal management system of this application includes: The central control unit is used to establish multiple thermal management zones based on the equipment structure of the capacitor; The execution unit includes multiple execution sub-modules, which are located in various thermal management zones. Each execution submodule includes an air-cooled substructure and a liquid-cooled substructure; The execution unit is used to control the operating temperature of each thermal management zone; The sensing unit is used to set multiple temperature monitoring points according to all thermal management zones; The sensing unit includes multiple temperature sensing modules, which are set at various temperature monitoring points; A temperature sensing array is constructed based on all temperature sensing modules. This temperature sensing array is used to generate a temperature monitoring package for the capacitor. The sensing unit also includes: The monitoring submodule is used to generate the capacitor's running data package.

[0025] Specifically, the capacitor contains multiple capacitor modules, and multiple thermal management zones are set according to the structural parameters of the capacitor, where each thermal management zone represents a capacitor module.

[0026] Specifically, the liquid-cooled substructure is preferably a microchannel cooling plate (closely attached to the capacitor module). Each liquid-cooled substructure forms an independent heat exchange channel through thermal coupling with the capacitor module. All liquid-cooled substructures are connected to the circulation pipeline in parallel, and each branch inlet corresponding to the liquid-cooled substructure is equipped with an independently controlled micro flow regulating valve to adjust the flow rate of coolant in each liquid-cooled substructure in real time.

[0027] Specifically, the preferred air-cooling substructure is a small, high-efficiency fan. Each air-cooling substructure is responsible for forced convection cooling of the thermal management zone it is in, and can control the wind speed and direction within the thermal management zone.

[0028] Specifically, multiple temperature monitoring points are set according to the structural parameters of the capacitor. These monitoring points mainly cover each major heat dissipation zone, the surface of the capacitor module, the inlet and outlet of the liquid cooling branch, and environmental reference points. Each monitoring point is equipped with a temperature sensing module (preferably a temperature sensor).

[0029] Specifically, the monitoring submodule is used to collect the total voltage, total current and current of the capacitors and the current of each parallel branch (i.e., the current of each capacitor module).

[0030] It is understood that in the above embodiments, the internal thermal management strategy of the capacitor is smoothly adjusted by regional linkage based on modular design. At the same time, the cooling demand of each thermal management zone is dynamically evaluated through simulation prediction and aging assessment, thereby extending the overall service life and reliability of the capacitor.

[0031] In a preferred embodiment of this application, the central control unit includes: The first processing module is used to establish the thermal management partition sequence A, A=(a1, a2…a…). i …a n ), where a i Let i be the i-th thermal management partition; n is the number of thermal management partitions; The second processing module is used to establish a simulation control model; The second processing module is also used to acquire the running data package and set the liquid cooling control parameters of the execution unit based on the running data package and the simulation control model; The third processing module is used to establish an auxiliary control model; The third processing module is also used to acquire temperature monitoring packages and set the operating correction parameters of the execution unit based on the temperature monitoring packages and the auxiliary control model.

[0032] Specifically, thermal management zones are established based on all capacitor modules.

[0033] Specifically, the data package includes the total voltage, total current, and current of each parallel branch of the capacitor, as well as the characteristic data of each capacitor module (parameters related to aging, such as equivalent series internal resistance, capacitance, self-discharge rate, and internal temperature difference).

[0034] Specifically, the temperature monitoring package contains real-time temperature data collected from various temperature monitoring points.

[0035] Specifically, establishing a simulation control model includes: Obtain historical data of the capacitor; Simulation prediction models and aging assessment models are generated based on historical data; A compensation strategy library was established based on the aging assessment model. Establish a temperature-liquid cooling circulation volume mapping table based on historical data; A simulation control model is constructed, which includes: a simulation prediction model, an aging assessment model, a compensation strategy library, and a temperature-liquid cooling cycle volume mapping table.

[0036] Specifically, historical data refers to the historical operating parameters of the capacitor (including total operating voltage, total current and branch current, as well as historical characteristic data and historical temperature monitoring data of the capacitor module).

[0037] Specifically, by analyzing historical data, the electro-thermal coupling relationship of the capacitor module under normal conditions (i.e., non-aging conditions) is generated, thereby establishing a simulation prediction model. This simulation prediction model can predict the temperature change trend of the thermal management zone corresponding to the capacitor module in the future based on the collected capacitor operating data (parallel branch current and voltage).

[0038] Specifically, the temperature-liquid cooling circulation volume mapping table refers to the generation of the required coolant circulation volume of a capacitor module in various temperature ranges under normal conditions (i.e., unaged conditions) by analyzing historical data.

[0039] Specifically, a compensation strategy library will be established, including: Multiple aging nodes are set according to the aging assessment model; Establish an aging node sequence B, B = (b1, b2, ..., bn). i …b m ), where b i Let m be the i-th aging node; m is the number of aging nodes. Based on the aging node sequence B, bi is sequentially set as the target aging node; Generate a predictive compensation strategy for the target aging node based on historical data; The prediction compensation strategy for each aging node is set sequentially, and a compensation strategy library is established based on all the prediction compensation strategies.

[0040] Specifically, by analyzing the historical characteristic data of the capacitor module, multiple aging characteristic indicators are generated. These aging characteristic indicators include, but are not limited to, parameters related to the aging state such as equivalent series internal resistance, capacitance, self-discharge rate, and internal temperature difference. An aging assessment model is constructed using all aging characteristic indicators, and multiple aging nodes are set.

[0041] Specifically, the characteristic states of each aging node (i.e., the reference intervals corresponding to each aging characteristic index) are established based on the aging assessment model.

[0042] Specifically, by filtering historical data, associated data of the target aging node is generated (i.e., the corresponding recorded data when the capacitor module is in the target aging state). Based on the associated data, the prediction difference of the simulation prediction model at the target aging node (i.e., the average difference between the predicted temperature value and the actual temperature value) is determined. Based on the prediction difference, the prediction compensation strategy for the target aging node is set.

[0043] It is understood that in the above embodiments, the cooling requirements of each thermal management zone are dynamically assessed through simulation prediction and aging evaluation, so as to achieve smooth adjustment of the internal thermal management strategy of the supercapacitor and extend the overall service life and reliability of the supercapacitor.

[0044] In a preferred embodiment of this application, the second processing module is further configured to: Multiple temperature control cycles can be preset; Obtain the running data packet for the current temperature control cycle; Based on the thermal management zoning sequence A, a is set sequentially. i Partition the target area; Acquire aging monitoring data for the target zone, and set the primary compensation strategy for the target zone based on the aging monitoring data and aging assessment model; Generate associated operational data for the target partition based on the operational data package, and generate the initial predicted temperature for the target partition based on the simulation prediction model and the associated operational data; The expected temperature of the target zone is generated based on the primary compensation strategy and the initial predicted temperature. Set the liquid cooling circulation volume of the target zone in the current temperature control cycle based on the expected temperature and the temperature-liquid cooling circulation volume mapping table; Sequentially set the liquid cooling circulation volume of each thermal management zone in the current temperature control cycle, and set the liquid cooling control parameters of the execution unit in the current temperature control cycle based on the total liquid cooling circulation volume.

[0045] Specifically, the temperature control cycle can be determined based on the prediction confidence of the simulation prediction model, where the prediction confidence of the simulation prediction model within a single temperature control cycle is greater than a preset confidence threshold (preferably 90% in this application).

[0046] Specifically, aging monitoring data refers to the real-time characteristic data of the capacitor modules corresponding to the target partition.

[0047] Specifically, the primary compensation strategy for the target partition is set, including: The expected aging status of the target zone is generated based on aging monitoring data; The expected aging state and the matching values ​​of each aging node are generated based on the aging assessment model. The prediction compensation strategy for the aging node corresponding to the maximum value among all matching values ​​is set as the first-level compensation strategy for the target partition.

[0048] Specifically, matching values ​​are set based on the degree of difference between each aging characteristic index in the expected aging state and each aging characteristic index in the current aging node's characteristic state. The greater the difference, the smaller the corresponding matching value. The mapping relationship between the two can be set based on historical parameters.

[0049] Specifically, the larger the matching value, the greater the likelihood that the capacitor module corresponding to the target partition is in the current aging node.

[0050] In a preferred embodiment of this application, the auxiliary control model is constructed, including: Obtain historical data of the capacitor; Multiple temperature distribution fields were constructed based on historical data; Establish the temperature distribution field sequence W, W=(w1, w2…w i …w r ), where w i Let r be the i-th temperature distribution field; r is the number of temperature distribution fields. Based on the temperature distribution field sequence W, w is set sequentially. i For the target temperature field; An auxiliary sub-strategy is generated based on historical data to create the target temperature field. The auxiliary sub-strategy includes liquid cooling adjustment amount and air cooling control parameters. Auxiliary sub-strategies are established sequentially for each temperature distribution field; Establish a deviation assessment model; An auxiliary control model is constructed based on the deviation assessment model and all auxiliary sub-strategies.

[0051] Specifically, the temperature distribution field refers to the temperature distribution parameters of a single thermal management zone (i.e., a monitoring zone) and the eight surrounding thermal management zones.

[0052] Specifically, by filtering and analyzing historical data, various types of temperature distribution fields are constructed. These fields can be periodically updated based on capacitor monitoring data.

[0053] Specifically, by analyzing the correlation data of the target temperature field, the optimal coolant circulation rate within the monitoring zone is generated, and the corresponding liquid cooling adjustment is set based on the real-time coolant circulation rate of the monitoring zone. Simultaneously, the control parameters (i.e., wind direction and corresponding wind speed) of the air-cooled substructure within the monitoring zone are set.

[0054] It is understandable that, in the above embodiments, by constructing multiple temperature distribution fields and corresponding auxiliary sub-strategies, the system can quickly respond to and coordinate heat dissipation for temperature control deviations inside the capacitor, thereby ensuring the operating efficiency inside the capacitor. In a preferred embodiment of this application, the third processing module is further configured to: Multiple feedback time points can be preset; Obtain the temperature monitoring package at the current feedback time point; The actual temperature of each thermal management zone at the current feedback time point is generated based on the temperature monitoring package; The deviation risk value f for the current feedback time point is generated based on the deviation assessment model and all actual temperature values. Preset deviation risk threshold F1; If f>F1, generate a first-level correction instruction and set the execution unit's operation correction parameters according to the first-level correction instruction.

[0055] Specifically, the deviation risk value f for the current feedback time point is generated, including: f=g*[ (t i -t') 2 ]; g=U1*[ (t i -t 1i )]; Where g is the deviation compensation coefficient; t i t' is the actual temperature of the i-th thermal management zone at the current feedback time point; t' is the average actual temperature of all thermal management zones at the current feedback time point; U1 is the preset first fixed coefficient; t 1i Let be the expected temperature of the i-th thermal management zone at the current feedback time point, and n be the number of thermal management zones.

[0056] Specifically, the deviation assessment model can generate the expected temperature of the current thermal management zone based on the actual coolant circulation volume and operating data of the current thermal management zone.

[0057] Specifically, by setting a first fixed coefficient, the value of the deviation compensation coefficient is made to be within a preset range, and [ (t i -t 1i The larger the value of ], the larger the corresponding deviation compensation coefficient. The mapping relationship between the two can be set according to historical parameters.

[0058] Specifically, the deviation risk threshold can be set based on historical parameters. When the real-time deviation risk value is greater than the preset deviation risk threshold, it indicates that the current heat dissipation efficiency of the capacitor has not reached the expected level and timely adjustment is required.

[0059] Specifically, the execution unit's operating correction parameters are set, including: The deviation assessment model sets sub-deviation values ​​for each thermal management zone at the current feedback time point; Preset sub-deviation threshold H1; such as H1 <h i (i=1,2…n), the i-th thermal management partition is set as the partition to be corrected at the current feedback time point; Among them, h i Let be the sub-deviation value of the i-th thermal management zone; n is the number of thermal management zones; Get all partitions to be corrected; Select the target partitions to be corrected sequentially from all partitions to be corrected; A primary temperature field for the target correction zone is generated based on the temperature monitoring package; The execution auxiliary strategy for modifying the partition is based on the target set in the primary temperature field; Configure the execution support strategies for each partition to be corrected in sequence; Set correction time points based on deviation risk values; Obtain the temperature monitoring package at the corrected time point and generate auxiliary iteration instructions.

[0060] Specifically, the temperature monitoring package includes temperature monitoring data for the target correction partition and its eight periodic thermal management partitions. The temperature monitoring package is used to construct the primary temperature field of the target correction partition, and the auxiliary sub-strategy of the temperature distribution field that is most similar to the primary temperature field in the temperature distribution field sequence is set as the execution auxiliary strategy for the target correction partition at the current time node.

[0061] Specifically, the higher the deviation risk value, the shorter the time interval between adjacent correction time points.

[0062] Specifically, the temperature monitoring data of the target correction partition at the current correction time point is acquired, and a primary temperature field is reconstructed. Auxiliary iteration instructions are then set based on this primary temperature field, and the execution auxiliary strategy for the target correction partition is re-matched according to these instructions until the deviation risk is eliminated. By continuously adjusting the execution auxiliary strategy, the efficiency of heat dissipation control for the capacitors is improved.

[0063] It is understood that in the above embodiments, by constructing multiple temperature distribution fields, when abnormal temperature distribution patterns are detected, preset strategies are invoked in a timely manner to intervene and suppress the risk of thermal runaway. At the same time, during the adjustment process, the gradient adjustment of abnormal temperature distribution is achieved through periodic judgment, thereby improving the temperature control efficiency of the supercapacitor and ensuring the operating efficiency of the supercapacitor.

[0064] According to the first concept of this application, the internal thermal management strategy of the supercapacitor is controlled in a modular manner by dividing the area. At the same time, through simulation prediction and aging assessment, the cooling demand of each thermal management zone is dynamically evaluated, so as to achieve smooth adjustment of the internal thermal management strategy of the supercapacitor and extend the overall service life and reliability of the supercapacitor.

[0065] According to the second concept of this application, by constructing multiple temperature distribution fields, when abnormal temperature distribution patterns are detected, a preset strategy is invoked in a timely manner to intervene and suppress the risk of thermal runaway. At the same time, during the adjustment process, the gradient adjustment of abnormal temperature distribution is achieved through periodic judgment, thereby improving the temperature control efficiency of the supercapacitor and ensuring the operating efficiency of the supercapacitor.

[0066] The above description is only a preferred embodiment of this application. It should be noted that for those skilled in the art, several improvements and substitutions can be made without departing from the technical principles of this application, and these improvements and substitutions should also be considered within the scope of protection of this application.

Claims

1. A thermal management system for a supercapacitor, characterized in that, include: The central control unit is used to establish multiple thermal management zones based on the equipment structure of the capacitor; The execution unit includes multiple execution sub-modules, which are located in various thermal management zones. Each execution submodule includes an air-cooled substructure and a liquid-cooled substructure; The execution unit is used to control the operating temperature of each thermal management zone; The sensing unit is used to set multiple temperature monitoring points according to all thermal management zones; The sensing unit includes multiple temperature sensing modules, which are installed at various temperature monitoring points. A temperature sensing array is constructed based on all temperature sensing modules, and the temperature sensing array is used to generate a temperature monitoring package for the capacitor. The sensing unit further includes: The monitoring submodule is used to generate the capacitor's running data package.

2. The supercapacitor thermal management system as described in claim 1, characterized in that, The central control unit includes: The first processing module is used to establish the thermal management partition sequence A, A=(a1, a2…a…). i …a n ), where a i Let i be the i-th thermal management partition; n is the number of thermal management partitions; The second processing module is used to establish a simulation control model; The second processing module is also used to acquire the running data packet and set the liquid cooling control parameters of the execution unit according to the running data packet and the simulation control model; The third processing module is used to establish an auxiliary control model; The third processing module is also used to acquire temperature monitoring data and set the operation correction parameters of the execution unit based on the temperature monitoring data and the auxiliary control model.

3. The supercapacitor thermal management system as described in claim 2, characterized in that, The establishment of the simulation control model includes: Obtain historical data of the capacitor; Simulation prediction models and aging assessment models are generated based on historical data; A compensation strategy library was established based on the aging assessment model. Establish a temperature-liquid cooling circulation volume mapping table based on historical data; A simulation control model is constructed, which includes: a simulation prediction model, an aging assessment model, a compensation strategy library, and a temperature-liquid cooling cycle volume mapping table.

4. The supercapacitor thermal management system as described in claim 3, characterized in that, The establishment of the compensation strategy library includes: Multiple aging nodes are set according to the aging assessment model; Establish an aging node sequence B, B = (b1, b2, ..., bn). i …b m ), where b i Let m be the i-th aging node; m is the number of aging nodes. Based on the aging node sequence B, bi is sequentially set as the target aging node; Generate a predictive compensation strategy for the target aging node based on historical data; The prediction compensation strategy for each aging node is set sequentially, and a compensation strategy library is established based on all the prediction compensation strategies.

5. The supercapacitor thermal management system as described in claim 4, characterized in that, The second processing module is also used for: Multiple temperature control cycles can be preset; Obtain the current operating data packet for the temperature control cycle; Based on the thermal management zoning sequence A, a is set sequentially. i Partition the target area; Acquire aging monitoring data for the target zone, and set the primary compensation strategy for the target zone based on the aging monitoring data and aging assessment model; Generate associated operational data for the target partition based on the operational data package, and generate the initial predicted temperature for the target partition based on the simulation prediction model and the associated operational data; The expected temperature of the target zone is generated based on the primary compensation strategy and the initial predicted temperature. Set the liquid cooling circulation volume of the target zone in the current temperature control cycle based on the expected temperature and the temperature-liquid cooling circulation volume mapping table; Sequentially set the liquid cooling circulation volume of each thermal management zone in the current temperature control cycle, and set the liquid cooling control parameters of the execution unit in the current temperature control cycle based on the total liquid cooling circulation volume.

6. The supercapacitor thermal management system as described in claim 5, characterized in that, The primary compensation strategy for the target partition includes: The expected aging status of the target zone is generated based on aging monitoring data; The expected aging state and the matching values ​​of each aging node are generated based on the aging assessment model. The prediction compensation strategy for the aging node corresponding to the maximum value among all matching values ​​is set as the first-level compensation strategy for the target partition.

7. The supercapacitor thermal management system as described in claim 2, characterized in that, The construction of the auxiliary regulation model includes: Obtain historical data of the capacitor; Multiple temperature distribution fields were constructed based on historical data; Establish the temperature distribution field sequence W, W=(w1, w2…w i …w r ), where w i Let r be the i-th temperature distribution field; r is the number of temperature distribution fields. Based on the temperature distribution field sequence W, w is set sequentially. i For the target temperature field; An auxiliary sub-strategy for generating the target temperature field based on historical data, the auxiliary sub-strategy including: liquid cooling adjustment amount and air cooling control parameters; Auxiliary sub-strategies are established sequentially for each temperature distribution field; Establish a deviation assessment model; An auxiliary control model is constructed based on the deviation assessment model and all auxiliary sub-strategies.

8. The supercapacitor thermal management system as described in claim 7, characterized in that, The third processing module is also used for: Multiple feedback time points can be preset; Obtain the temperature monitoring package at the current feedback time point; The actual temperature of each thermal management zone at the current feedback time point is generated based on the temperature monitoring package; The deviation risk value f for the current feedback time point is generated based on the deviation assessment model and all actual temperature values. Preset deviation risk threshold F1; If f>F1, generate a first-level correction instruction and set the execution unit's operation correction parameters according to the first-level correction instruction.

9. The supercapacitor thermal management system as described in claim 8, characterized in that, Generate the deviation risk value f for the current feedback time point, including: f=g*[ (t i -t') 2 ]; g=U1*[ (t i -t 1i )]; Where g is the deviation compensation coefficient; t i t' is the actual temperature of the i-th thermal management zone at the current feedback time point; t' is the average actual temperature of all thermal management zones at the current feedback time point; U1 is the preset first fixed coefficient; t 1i Let be the expected temperature of the i-th thermal management zone at the current feedback time point, and n be the number of thermal management zones.

10. The supercapacitor thermal management system as described in claim 8, characterized in that, The set execution unit's operation correction parameters include: The deviation assessment model sets sub-deviation values ​​for each thermal management zone at the current feedback time point; Preset sub-deviation threshold H1; such as H1 <h i (i=1,2…n), the i-th thermal management partition is set as the partition to be corrected at the current feedback time point; Among them, h i Let be the sub-deviation value of the i-th thermal management zone; n is the number of thermal management zones; Get all partitions to be corrected; Select the target partitions to be corrected sequentially from all partitions to be corrected; A primary temperature field for the target correction zone is generated based on the temperature monitoring package; The execution auxiliary strategy for modifying the partition is based on the target set in the primary temperature field; Configure the execution support strategies for each partition to be corrected in sequence; Set correction time points based on deviation risk values; Obtain the temperature monitoring package at the corrected time point and generate auxiliary iteration instructions.

Images