Air-cooled electrochemical energy storage tank temperature control method and system

Abstract

The application belongs to the technical field of electrochemistry, and particularly discloses a wind-cooled electrochemical energy storage cabin temperature control method and system. The scheme takes the temperature corresponding to each battery pack collected by the BMS battery management module as basic temperature data, generates a virtual temperature through dynamic weighting algorithm fusion of all battery pack temperature data, and finally converts the virtual temperature into a corresponding target voltage signal based on the NTC voltage division characteristic. The target voltage signal is used to simulate the NTC voltage division signal and directly input into the air conditioner controller for temperature regulation. That is, on the one hand, the scheme realizes effective utilization of the temperature data collected by the original BMS battery management module of the energy storage cabin, reduces the number of NTC temperature sensors arranged in the cabin body, and can more accurately and comprehensively reflect the temperature in the cabin. On the other hand, based on the NTC voltage division characteristic, the virtual temperature is converted into a corresponding target voltage signal to simulate the original NTC voltage division signal, without the need to modify the air conditioner hardware and program, and the scheme is compatible with existing various wind-cooled air conditioner systems based on NTC sampling.

Description

Technical Field

[0001] This invention belongs to the field of electrochemical technology, and in particular relates to a method and system for temperature control of an air-cooled electrochemical energy storage chamber. Background Technology

[0002] In containerized air-cooled electrochemical energy storage systems, air conditioning is the core equipment for maintaining stable temperature in the energy storage compartment. Its operating mode (cooling / heating switching) and operating frequency both rely on the sampling data from its own return air temperature sensor.

[0003] Currently, mainstream containerized air-cooled electrochemical energy storage systems in the industry all adopt a temperature acquisition scheme using a single NTC sensor installed at the air conditioning return air vent. For example, in a certain energy storage company's 500kWh containerized energy storage system, the air conditioning temperature sampling relies solely on one NTC sensor (model NTC 100K B=3950) at the return air vent. This scheme is widely used in the industry. However, in practical applications, the return air temperature sensor can only reflect the temperature layout of the air conditioning return air vent and cannot reflect the actual temperature distribution of multiple battery packs inside the entire energy storage compartment. This leads to the air conditioning system still operating based on localized temperatures when some batteries are already overheated or overcooled, thus affecting the safe operation of the energy storage compartment. If multi-temperature point integrated control is achieved by modifying the air conditioning program, it is necessary to coordinate with the air conditioning manufacturer for customized program development, which is time-consuming, costly, and incompatible with existing air conditioning systems. If the temperature information collected by the BMS battery management module is directly transmitted to the air conditioning unit as the air conditioning return air temperature, the large amount of received temperature data cannot be effectively processed, and it is also necessary to coordinate with the manufacturer to adjust the air conditioning processing program.

[0004] Based on the above analysis, this application designs a method and system for temperature control of an air-cooled electrochemical energy storage chamber, building upon existing technologies. Summary of the Invention

[0005] The purpose of this invention is to provide a method and system for temperature control of an air-cooled electrochemical energy storage chamber. This method and system can achieve temperature control without adjusting the existing air conditioning software and hardware structure. It converts the temperature data of each battery pack in the energy storage chamber into target voltage signals and feeds them back to the air conditioner in a manner that simulates NTC voltage divider signals. This solves the shortcomings of the existing methods.

[0006] To address the aforementioned problems, this application provides a temperature control method for an air-cooled electrochemical energy storage chamber, comprising the following steps:

[0007] Step S1: Obtain the temperature data corresponding to each battery pack in the electrochemical energy storage chamber. The temperature data shall include at least the positive and negative terminal temperatures of the battery pack and the individual cell temperatures.

[0008] Step S2: Generate virtual temperatures using a dynamic weighting algorithm on the acquired temperature data;

[0009] Step S3: Based on the NTC voltage divider characteristics, the virtual temperature is converted into a corresponding target voltage signal, and the target voltage signal is connected to the air conditioner controller to perform temperature regulation, simulating an NTC voltage divider signal.

[0010] As the preferred embodiment of this application:

[0011] In step S2, the specific steps for generating a virtual temperature from the acquired temperature data using a dynamic weighting algorithm include:

[0012] Step S21: Based on the temperatures of the positive and negative terminals of each battery pack, the average and maximum temperatures of individual cells, and predefined weights, a dynamic weighting algorithm is used to fuse the internal temperatures of each battery pack, thereby obtaining the characteristic temperatures of each battery pack. Specifically:

[0013]

[0014] in,

[0015] The weight of the positive electrode of the battery pack under charging, discharging or static conditions;

[0016] The temperature of the positive terminal of the i-th battery pack;

[0017] The weight of the negative electrode of the battery pack under charging, discharging, or static conditions;

[0018] The temperature of the negative terminal of the i-th battery pack;

[0019] Weighted average temperature of individual cells within the battery pack during charging, discharging, or static states;

[0020] Let be the average temperature of a single cell within the i-th battery pack;

[0021] Weights are assigned to the maximum values ​​of individual cell temperatures within the battery pack during charging, discharging, or static states.

[0022] The maximum temperature of a single cell within the i-th battery pack;

[0023] Step S22: Combining predefined battery pack location weights, system charge / discharge state parameters, and temperature parameters including the deviation between the characteristic temperature of each battery pack and the average temperature of the compartment, the average temperature difference between individual cells within the compartment, and the maximum temperature difference between individual cells within the battery pack, dynamically calculate the compartment-level dynamic weights of each battery pack. Among them, the charge / discharge state parameters are used to determine the weight calculation coefficients; the compartment-level dynamic weights of each battery pack. The calculation method is as follows:

[0024]

[0025] In the formula, Position weights;

[0026] The charge / discharge rate of the battery pack;

[0027] The deviation between the characteristic temperature of the i-th battery pack and the average temperature of the cabin is denoted as .

[0028] This represents the maximum temperature difference between individual cells within the battery pack.

[0029] This represents the average temperature difference between individual units within the cabin.

[0030] for The coefficient of change;

[0031] for coefficient of variation;

[0032] for coefficient of variation;

[0033] Step S23: Based on the obtained cabin-level dynamic weights With the characteristic temperature of each battery pack A weighted fusion method is used to generate a virtual temperature that represents the overall thermal state of the energy storage compartment;

[0034] Virtual temperature characterizing the overall thermal state of the energy storage compartment The specific calculation method is as follows:

[0035]

[0036] In the formula, Let be the characteristic temperature of the i-th battery pack;

[0037] Let be the cabin-level dynamic weight of the i-th battery pack;

[0038] This represents the average temperature difference between individual units within the cabin.

[0039] It is the average difference between the maximum terminal temperature of each battery pack in the cabin and the average temperature of the corresponding individual cells in the battery pack.

[0040] for The coefficient of change;

[0041] for The coefficient of variation.

[0042] As the preferred embodiment of this application:

[0043] In step S2, a correction mechanism is also provided:

[0044] In step S21, the correction mechanism includes terminal contact anomaly correction and single-cell consistency anomaly correction. When the terminal contact anomaly correction is triggered, the weight of the battery pack positive electrode is increased under charging, discharging, or resting conditions. The weight of the negative electrode under charging, discharging, or resting conditions When the single-cell consistency anomaly correction is triggered, the weight of the maximum value of the battery pack's single-cell temperature is increased. Simultaneously, the corresponding early warning procedure is activated;

[0045] In step S22, the correction mechanism includes battery pack temperature anomaly correction. When battery pack temperature anomaly correction is triggered, it is determined whether the maximum temperature of a single battery cell is higher than a maximum threshold or lower than a minimum threshold. If the maximum temperature of a single battery cell is higher than the maximum threshold, then the maximum temperature of the single cell within the battery pack is adjusted accordingly. weight An increase of 18-22%, and virtual temperature. Increase by 0.5-0.7℃; when it is less than the minimum threshold, adjust the weight of the battery pack corresponding to that battery pack. Reduced by 48-52%;

[0046] In step S23, the correction mechanism includes cabin consistency anomaly correction. When cabin consistency anomaly correction is triggered, the average temperature difference between individual units within the cabin is adjusted. coefficient of change Increased to 0.3.

[0047] As the preferred embodiment of this application:

[0048] In step S3, the specific method for converting the virtual temperature into the corresponding target voltage signal based on the NTC voltage divider characteristic includes:

[0049] Step S31: Construct the voltage-temperature mapping reference table for the air conditioner controller;

[0050] Step S32: Based on the virtual temperature, query the corresponding target voltage value in the "voltage-temperature" mapping reference table, and convert the target voltage value into a target voltage signal.

[0051] As the preferred embodiment of this application:

[0052] In step S31, the voltage-temperature mapping reference table is constructed using the following method steps:

[0053] Step S311: Output a voltage signal sequence covering the air conditioning range according to the preset voltage step;

[0054] Step S312: For each voltage signal sequence output, the temperature value output by the air conditioner is collected once, until all voltage signal sequences are output. At the same time, a voltage-temperature mapping data pair is generated.

[0055] Step S313: Filter out data pairs with temperatures in the range of -10~85℃ from the generated “voltage-temperature” mapping data pairs, and construct a reverse lookup reference table with temperature value as index and voltage value as feedback.

[0056] As the preferred embodiment of this application:

[0057] In step S32: After converting the target voltage value into a target voltage signal, the target voltage signal is then preprocessed. The preprocessing includes driving and enhancing the voltage signal, purifying it, and providing surge protection.

[0058] As the preferred embodiment of this application:

[0059] In step S3, the target voltage signal output terminal is connected in parallel with the original NTC temperature measurement circuit to form a main and backup two-way signal connected to the air conditioner controller. When the target voltage signal output is abnormal, the original NTC temperature measurement circuit is switched to perform temperature regulation.

[0060] As the preferred embodiment of this application:

[0061] The temperature acquisition module is used to acquire temperature data for each battery pack in the electrochemical energy storage chamber. The temperature data includes at least the temperature of the positive and negative terminals of the battery pack and the temperature of each individual cell.

[0062] The virtual temperature acquisition module is used to generate virtual temperatures by applying a dynamic weighting algorithm to the acquired temperature data;

[0063] The signal conversion module is used to convert the virtual temperature into a corresponding target voltage signal based on the NTC voltage divider characteristics. The target voltage signal is connected to the air conditioner controller to perform temperature regulation, simulating an NTC voltage divider signal.

[0064] As the preferred embodiment of this application:

[0065] It also includes a signal redundancy switching module, which connects the output of the signal conversion module in parallel with the original NTC temperature measurement circuit to form a main and backup two-way signal input to the air conditioner controller.

[0066] As the preferred embodiment of this application:

[0067] The virtual temperature acquisition module includes a first correction unit, a second correction unit, and a third correction unit. The first correction unit is used to correct abnormal terminal contact and abnormal cell consistency within the battery pack. The second correction unit is used to correct abnormal battery pack temperature. The third correction unit is used to correct abnormal cabin consistency.

[0068] Compared with existing technologies, the beneficial effects of the air-cooled electrochemical energy storage chamber temperature control method and system of this invention are as follows:

[0069] This solution uses the temperatures of each battery pack collected by the BMS battery management module as the base temperature data. A dynamic weighted algorithm is used to fuse the temperature data from all battery packs to generate a virtual temperature. Finally, based on the NTC voltage divider characteristics, the virtual temperature is converted into a corresponding target voltage signal. This target voltage signal is then used to simulate the NTC voltage divider signal and directly input into the air conditioning controller for temperature regulation. In other words, this solution effectively utilizes the temperature data collected by the original BMS battery management module in the energy storage compartment, reducing the number of NTC temperature sensors required while providing a more accurate and comprehensive reflection of the overall temperature within the compartment. This avoids the shortcomings of traditional return air vent temperature misjudgments that can lead to air conditioning control failures, reducing the risk of battery overheating or overcooling and addressing existing deficiencies. Furthermore, converting the virtual temperature into a corresponding target voltage signal based on the NTC voltage divider characteristics simulates the original NTC voltage divider signal, eliminating the need to modify the air conditioning hardware and software. It directly replaces the original NTC sensors and is compatible with various existing NTC-sampling-based air-cooled air conditioning systems, resulting in low modification costs and a short cycle. Therefore, this solution not only solves existing deficiencies but also improves the utilization rate of the original BMS battery management module, demonstrating significant market value and economic benefits. Attached Figure Description

[0070] Figure 1 A flowchart illustrating the temperature control method for an air-cooled electrochemical energy storage chamber provided in an embodiment of the present invention.

[0071] Figure 2 A structural diagram of the air-cooled electrochemical energy storage chamber temperature control system provided in an embodiment of the present invention. Detailed Implementation

[0072] The present invention will be further described in detail below with reference to specific embodiments and accompanying drawings. It should be emphasized that the following description is merely exemplary and not intended to limit the scope and application of the present invention.

[0073] Example 1:

[0074] like Figure 1As shown in the figure, this embodiment provides a method for temperature control of an air-cooled electrochemical energy storage chamber, which specifically includes the following steps:

[0075] Step S1: Obtain the temperature data corresponding to each battery pack in the electrochemical energy storage chamber. In this step, the temperature data corresponding to each battery pack includes at least the positive and negative terminal temperatures and the individual cell temperatures. The temperature data can be collected by the existing BMS battery management module installed on the electrochemical energy storage chamber. If necessary, a corresponding ambient temperature sensor can be installed inside the chamber. The temperature sensor of the BMS battery pipeline module is directly installed on each battery pack and is responsible for collecting the electrical temperature (cell surface, tabs, etc.) of all cells in each battery pack. The temperature data collected by the BMS battery management module can more comprehensively and accurately reflect the temperature inside the energy storage chamber. It can be seen that in this embodiment, the original BMS battery management module of the energy storage chamber is effectively utilized, and the corresponding temperature of each battery pack in the chamber is used as the basic temperature data to replace the traditional air conditioning return air vent temperature collected by NTC sensors.

[0076] Step S2: Generate virtual temperatures using a dynamic weighting algorithm on the acquired temperature data;

[0077] In this step, before generating the virtual temperature, the acquired temperature data is divided at the pack level and the compartment level. The pack level reflects the temperature state of a single battery pack, while the compartment level reflects the temperature state of the entire compartment. Specifically, based on the acquired individual cell temperatures, the following temperature data can be calculated: the average temperature of the compartment (the average of the characteristic temperatures of all battery packs within the compartment or the average of multiple ambient temperature sensors distributed within the compartment), the average temperature difference between individual cells within the compartment, the average and maximum individual cell temperatures corresponding to each battery pack, and the maximum temperature difference between individual cells within the compartment. Based on the acquired positive and negative terminal temperatures of the battery packs, the maximum terminal temperatures within each battery pack and the maximum terminal temperatures within the compartment can be calculated, providing a basis for subsequent calculations.

[0078] Step S3: Based on the NTC voltage divider characteristics, the virtual temperature is converted into a corresponding target voltage signal, and the target voltage signal is connected to the air conditioner controller to perform temperature regulation, simulating an NTC voltage divider signal.

[0079] This step converts the virtual temperature into a voltage signal. Since the existing air conditioning program and hardware are compatible with the original NTC temperature measurement circuit, the temperature data collected by the BMS battery management module cannot be directly connected to the air conditioning controller (signal type mismatch), and the amount of temperature data is too large for the original air conditioning controller to process. In this embodiment, the virtual temperature is converted into the corresponding target voltage signal based on the NTC voltage divider characteristics. The target voltage signal is used to simulate the NTC voltage divider signal to be directly connected to the air conditioning controller. The air conditioning controller continues to execute the original program and adjusts the temperature according to the input target voltage signal.

[0080] In summary, this embodiment uses the temperatures of each battery pack collected by the BMS battery management module as the basic temperature data. A virtual temperature is generated by fusing all battery pack temperature data through a dynamic weighting algorithm. Finally, based on the NTC voltage divider characteristics, the virtual temperature is converted into a corresponding target voltage signal. This target voltage signal is then used to simulate the NTC voltage divider signal and directly input into the air conditioning controller for temperature regulation. In other words, this embodiment effectively utilizes the temperature data collected by the original BMS battery management module in the energy storage compartment, reducing the number of NTC temperature sensors deployed within the compartment. It provides a more accurate and comprehensive reflection of the overall temperature within the compartment, avoiding the shortcomings of traditional return air vent temperature misjudgments that lead to air conditioning control failures, reducing the risk of battery overheating or overcooling, and addressing existing deficiencies. Furthermore, converting the virtual temperature into a corresponding target voltage signal based on the NTC voltage divider characteristics can simulate the original NTC voltage divider signal without modifying the air conditioning hardware and software, directly replacing the original NTC sensor. It is compatible with various existing air-cooled air conditioning systems based on NTC sampling, resulting in low modification costs and a short cycle. Therefore, this embodiment not only solves existing deficiencies but also improves the utilization rate of the original BMS battery management module, possessing certain market value and economic benefits.

[0081] In step S2, the specific steps for generating a virtual temperature from the acquired temperature data using a dynamic weighting algorithm include:

[0082] Step S21: Based on the temperatures of the positive and negative terminals of each battery pack, the average and maximum temperatures of individual cells, and predefined weights, a dynamic weighting algorithm is used to fuse the internal temperatures of each battery pack, thereby obtaining the characteristic temperatures of each battery pack. That is, to obtain the package-level feature temperature, specifically:

[0083]

[0084] in,

[0085] The weight of the positive electrode of the battery pack under charging, discharging or static conditions;

[0086] The temperature of the positive terminal of the i-th battery pack;

[0087] The weight of the negative electrode of the battery pack under charging, discharging, or static conditions;

[0088] The temperature of the negative terminal of the i-th battery pack;

[0089] Weighted average temperature of individual cells within the battery pack during charging, discharging, or static states;

[0090] Let be the average temperature of a single cell within the i-th battery pack;

[0091] Weights are assigned to the maximum values ​​of individual cell temperatures within the battery pack during charging, discharging, or static states.

[0092] The maximum temperature of a single cell within the i-th battery pack;

[0093] In this embodiment, the predefined weights corresponding to the three parameters—positive and negative end temperatures, average unit temperature, and maximum unit temperature—are determined based on the degree of influence of each parameter on the cabin temperature under different operating conditions. See Table 1 for details.

[0094] Table 1

[0095] Operating conditions (positive electrode) (negative electrode) (mean) (extremum) Weighted sum Let stand 0.15 0.15 0.4 0.3 1 Charge 0.25 0.25 0.3 0.2 1 Discharge 0.2 0.2 0.3 0.3 1

[0096] This step allows us to obtain the pack-level characteristic temperature of each battery pack. As is known, the characteristic temperature of a battery pack reflects the overall state of the corresponding battery pack and is used as a basis for judging whether the battery pack is in a suitable operating temperature range and whether heat generation and dissipation are balanced. In addition, it is also a key parameter reflecting the thermal field distribution inside the chamber.

[0097] Step S22: Combining predefined battery pack location weights, system charge / discharge state parameters, and temperature parameters including the deviation between the characteristic temperature of each battery pack and the average temperature of the compartment, the average temperature difference between all cells within the compartment, and the maximum temperature difference between cells within the battery pack, dynamically calculate the compartment-level dynamic weight of each battery pack. Among them, the charge / discharge state parameters are used to determine the weight calculation coefficients;

[0098] Dynamic weights of each battery pack at the compartment level The calculation method is as follows:

[0099]

[0100] In the formula, The position weights can be obtained through existing technologies, specifically by calibration and normalization through cabin thermal simulation and measured temperature rise experiments (such as monitoring the temperature changes of each battery pack under specific operating conditions).

[0101] For the charge / discharge rate of the battery pack, this The values ​​include 0.5, -0.2, and 0, where 0.5 represents 0.5C charging, -0.2 represents 0.2C discharging, and 0 represents resting.

[0102] The deviation between the characteristic temperature of the i-th battery pack and the average temperature of the cabin is denoted as .

[0103] This represents the maximum temperature difference between individual cells within the battery pack.

[0104] This represents the average temperature difference between individual units within the cabin.

[0105] for The coefficient of variation is specifically 0.2 (charging) / 0.1 (discharging).

[0106] The deviation between the characteristic temperature of the i-th battery pack and the average temperature of the housing. The coefficient of variation is 0.05.

[0107] It is the ratio of the maximum temperature difference between individual cells within the battery pack to the average temperature difference between individual cells within the battery compartment. The coefficient of variation is specifically 0.1;

[0108] In this embodiment, the ratio of the maximum temperature difference between individual cells within the battery pack to the average temperature difference between individual cells within the chamber is... It is a key performance indicator used to quantify and locate the "shortcomings" in the thermal consistency of the battery system. This ratio can be used to quickly identify abnormal battery packs with the largest internal temperature difference and the largest deviation from the average level, which is beneficial for the early diagnosis of battery pack failures.

[0109] In this embodiment, since the positional differences of the battery packs are one of the fundamental reasons for the uneven temperature of the chamber, the battery pack placement is taken into account in this step. The dynamic weight of each battery pack in the chamber is obtained by weighting the preset positional weights and temperature parameters, including the deviation between the characteristic temperature of each battery pack and the average temperature of the chamber, the average temperature of individual cells in the chamber, and the maximum temperature difference between individual cells in the battery pack.

[0110] Step S23: Based on the obtained cabin-level dynamic weights With the characteristic temperature of each battery pack A weighted fusion method is used to generate a virtual temperature that represents the overall thermal state of the energy storage compartment;

[0111] Virtual temperature characterizing the overall thermal state of the energy storage compartment The specific calculation method is as follows:

[0112]

[0113] In the formula, The characteristic temperature of the i-th battery pack is obtained in step 21 above;

[0114] The cabin-level dynamic weights for the i-th battery pack are obtained in step 22 above;

[0115] This represents the average temperature difference between individual units within the cabin.

[0116] It is the average difference between the maximum terminal temperature of each battery pack in the cabin and the average temperature of the corresponding individual cells in the battery pack.

[0117] The average temperature difference between individual units within the cabin. The coefficient of variation is specifically 0.2;

[0118] The average difference between the maximum terminal temperature of each battery pack within the compartment and the average temperature of the corresponding individual cells within the battery pack. The coefficient of variation is 0.15.

[0119] This embodiment calculates the characteristic temperature of each battery pack sequentially. Dynamic weights corresponding to each battery pack Finally, the virtual temperature that can characterize the overall thermal state of the energy storage compartment was analyzed and calculated. Compared to the temperature at a local air outlet, this temperature can more accurately reflect the overall temperature inside the cabin. At the same time, it can also provide data support for monitoring battery pack anomalies by utilizing the characteristic temperatures of each battery pack.

[0120] In this embodiment, a correction mechanism is also provided in step S2:

[0121] In step S21, the correction mechanism includes terminal contact anomaly correction and single-cell consistency anomaly correction. When terminal contact anomaly correction is triggered, the weight of the battery pack positive electrode is increased under charging, discharging, or resting conditions. The weight of the negative electrode under charging, discharging, or resting conditions Specifically, when the difference between the maximum terminal temperature and the average temperature of individual cells within the battery pack exceeds 10°C, it indicates an abnormality in the terminals (such as loosening, corrosion, or aging), triggering a terminal contact abnormality correction. Simultaneously, the weighting of the battery pack's positive terminal under charging, discharging, or static conditions is adjusted. The weight of the negative electrode under charging, discharging, or resting conditions The values ​​were adjusted to 0.3 (relative to Table 1), and an early warning for abnormal terminal contact was issued. When an abnormal terminal contact was detected, the terminal weight was forcibly increased, thereby increasing the characteristic temperature of the battery pack to significantly reflect the thermal field distribution inside the compartment.

[0122] When a single-cell consistency anomaly correction is triggered, the weight of the maximum single-cell temperature in the battery pack is increased. And initiate an early warning procedure for poor monomer consistency, specifically, when the maximum temperature difference between monomers... When the temperature exceeds 7°C, a correction for abnormal cell consistency is triggered. Simultaneously, the maximum temperature of each cell within the battery pack during charging, discharging, or static states is weighted accordingly. Adjust to 0.4 (relative to Table 1), and simultaneously activate the early warning mechanism; this early warning mechanism can give the temperature of the "hottest unit" a higher decision priority in subsequent thermal management decisions.

[0123] In step S22, the correction mechanism includes battery pack temperature anomaly correction. When battery pack temperature anomaly correction is triggered, it is determined whether the maximum temperature of a single battery cell is higher than a maximum threshold or lower than a minimum threshold. If the maximum temperature of a single battery cell is higher than the maximum threshold (preferably 45°C), then the maximum temperature of the single cell within the battery pack is adjusted accordingly. weight An increase of 18-22%, and virtual temperature. Increase the temperature by 0.5-0.7℃ to improve response speed; when it falls below the minimum threshold, it indicates a low-temperature battery pack, and the corresponding battery pack weight is adjusted accordingly. Reduce by 48-52% to prevent the low-temperature battery pack from lowering the overall virtual temperature of the cabin.

[0124] In step S23, the correction mechanism includes cabin consistency anomaly correction. When cabin consistency anomaly correction is triggered, the average temperature difference between individual units within the cabin is adjusted. coefficient of change The threshold was temporarily increased from 0.2 to 0.3 to highlight consistency risks. In this embodiment, the condition for triggering the cabin consistency anomaly correction is: the average temperature difference between individual units within the cabin. Triggered when the temperature is above 3℃.

[0125] The aforementioned correction mechanism can dynamically adjust some weights, thereby improving the accuracy of the virtual temperature calculation of the cabin and enabling real-time monitoring of the operating status of each battery pack within the cabin. When necessary, it can trigger alarm procedures, thus improving the reliability of the energy storage cabin operation.

[0126] In step S3, the specific method for converting the virtual temperature into the corresponding target voltage signal based on the NTC voltage divider characteristic includes:

[0127] Step S31: Construct a voltage-temperature mapping reference table for the air conditioner controller; use this mapping reference table to convert virtual temperature values ​​to voltage values. The specific method for constructing the voltage-temperature mapping reference table in this embodiment is as follows:

[0128] Step S311: Use a digital-to-analog converter (DAC) to output a voltage signal sequence covering the air conditioning range according to a preset voltage step. In this embodiment, the preset voltage step is preferably to output a DAC voltage every 10mV starting from 0V.

[0129] Step S312: For each voltage signal sequence output, the temperature value output by the air conditioner is collected once, until all voltage signal sequences are output. At the same time, a voltage-temperature mapping data pair is generated. In this embodiment, the air conditioner temperature is collected using a 485 bus.

[0130] Step S313: Filter out data pairs with temperatures in the range of -10~85℃ from the generated “voltage-temperature” mapping data pairs, and construct a reverse lookup reference table with temperature value as index and voltage value as feedback.

[0131] Step S32: Based on the virtual temperature, the corresponding target voltage value is obtained by querying the "voltage-temperature" mapping reference table, and the target voltage value is converted and output as a target voltage signal. The specific query step is the reverse query method described in step S313 above, using the virtual temperature as an index to find the target voltage value from the reference table. Since the signal received by the air conditioner controller is an analog signal, the voltage value cannot be directly input as a physical quantity. In this embodiment, a digital-to-analog converter (DAC) is preferably used to convert the target voltage value into a target voltage signal. This target voltage signal can directly simulate the NTC voltage divider signal and be received by the air conditioner controller.

[0132] In this embodiment, after converting the target voltage value into a target voltage signal in step S32, the target voltage signal is further preprocessed. This preprocessing includes driving and enhancing the voltage signal, cleaning and surge protection, improving the anti-interference capability of the target voltage signal, and enhancing the stability and security of the target voltage signal.

[0133] Specifically, the target voltage signal passes through a voltage follower, an RC filter, and an overvoltage protection circuit. It should be noted that the voltage follower, RC filter, and overvoltage protection circuit are all existing conventional signal processing circuits. This embodiment does not describe their specific structure in detail, but only uses their original functions to preprocess the target voltage signal.

[0134] The voltage follower utilizes its high input impedance and low output impedance to reduce the impedance (≤10Ω) of the target voltage signal output by the DAC, thereby enhancing the signal drive to match the input impedance of the air conditioner's analog-to-digital converter (ADC). This prevents the voltage signal from "attenuating" due to load effects during transmission, ensuring the accuracy of the voltage acquired by the air conditioner's ADC. The RC filter circuit is a second-order low-pass filter circuit (preferably R=1kΩ, C=100nF, with a cutoff frequency of 1.6kHz) used to suppress high-frequency noise in the target voltage signal. The overvoltage protection circuit provides surge protection for the filtered, pure low-frequency voltage signal to absorb instantaneous high-voltage spikes generated during battery pack failures.

[0135] In this embodiment, the output target voltage signal is directly connected to the analog signal acquisition terminal of the air conditioner controller, and the target voltage signal is used to simulate the voltage divider signal output by the original NTC temperature measuring circuit.

[0136] In this embodiment, in step S3, it is preferable to connect the target voltage signal output terminal and the original NTC temperature measurement circuit in parallel to form a main and backup signal input to the analog signal acquisition terminal of the air conditioning controller. When the target voltage signal output is abnormal, it switches to the original NTC temperature measurement circuit for temperature regulation. That is, in this embodiment, the target voltage signal output terminal is used as the main signal link, and the original NTC temperature measurement circuit is used as the backup signal link. Under normal circumstances, the air conditioning controller and the main signal link constitute the main control loop, using the temperature data collected by the BMS battery pipeline module as the basic data. When the main control loop is abnormal, it can automatically switch to the backup control loop composed of the original NTC temperature measurement circuit and the air conditioning controller to ensure the reliability of the energy storage compartment temperature control regulation.

[0137] Specifically, in this embodiment, the target voltage signal output terminal is connected in parallel with the original NTC temperature measurement circuit via a relay single-pole double-throw switch G6K-2P-Y to form a main and backup two-way signal input to the air conditioning controller. When the target voltage signal output terminal is abnormal, it automatically switches to the original NTC temperature measurement circuit for temperature control; for example... Figure 2 As shown, in this structure, the target voltage output terminal of the temperature control system serves as the main signal link, connected to a set of normally open contacts NO1 of a single-pole double-throw switch, and connected to the ADC sampling terminal of the air conditioner controller through the COM1 output terminal. When the coil is energized, COM1 and NO1 are connected, and the main signal link performs real-time temperature acquisition. The voltage divider signal output terminal of the original NTC temperature measurement circuit serves as the backup signal link, connected to a set of normally closed contacts NC1 of a single-pole double-throw switch, and connected to the ADC sampling terminal of the air conditioner controller through the COM1 output terminal. When the coil is de-energized, COM1 and NC1 are connected, and the backup signal link performs real-time temperature acquisition. At the same time, the grounding terminal of the original NTC temperature measurement circuit and the grounding terminal of the temperature control system are directly connected to the same ground.

[0138] In this embodiment, abnormal situations in the main control loop include: abnormal communication status of the BMS battery pipeline module, abnormal output status of the digital-to-analog converter module (DAC), and abnormal signal line connectivity. Among them, abnormal communication status of the BMS battery pipeline module usually includes communication link abnormalities, data loss, and abnormal data format; abnormal output status of the DAC module usually includes whether the output voltage amplitude and voltage signal are within the preset range; abnormal signal line connectivity usually includes whether the signal transmission line between the DAC and the air conditioning controller is connected, ensuring that there are no short circuits or short circuits. When at least one of the above abnormal situations occurs, the circuit automatically switches to the original NTC temperature measurement circuit, which temporarily reflects the actual temperature of the cabin by collecting the temperature of the air conditioning return air vent.

[0139] In this embodiment, if the energy storage compartment is equipped with multiple air conditioners, the compartment can be divided into multiple areas, and each area can be controlled by a corresponding air conditioner. This means that the virtual temperature can be calculated according to the sub-area, and the temperature of the compartment can be controlled by multiple air conditioners in a coordinated manner.

[0140] In summary, the temperature control method for the air-cooled electrochemical energy storage chamber in this embodiment collects more comprehensive temperature data, which can more accurately reflect the real-time temperature status of the entire chamber. This improves the accuracy and reliability of temperature control and addresses existing shortcomings. In addition, this method has high compatibility, requiring no modification to the air conditioning hardware and software, and is directly compatible with various existing air-cooled air conditioning systems based on NTC sampling, resulting in low modification costs and short cycles. Furthermore, this embodiment connects the target voltage signal output terminal in parallel with the original NTC temperature measurement circuit to form a dual-channel signal for the air conditioning controller, improving the reliability of temperature control.

[0141] Example 2:

[0142] Compared to Example 1, this example provides a temperature control system for an air-cooled electrochemical energy storage chamber, such as... Figure 2 As shown, the system includes a temperature acquisition module, a virtual temperature acquisition module, and a signal conversion module.

[0143] The temperature acquisition module is used to obtain temperature data corresponding to each battery pack in the electrochemical energy storage chamber. This temperature data includes at least the positive and negative terminal temperatures of the battery pack and the individual cell temperatures. In this embodiment, the temperature acquisition module is preferably the existing BMS battery management module installed on the electrochemical energy storage chamber. If necessary, a corresponding ambient temperature sensor can be installed inside the chamber. The temperature sensor of the BMS battery pipeline module is directly installed on each battery pack and is responsible for collecting the electrical temperature (cell surface, tabs, etc.) of all cells in each battery pack. The temperature data collected by the BMS battery management module can more comprehensively and accurately reflect the temperature inside the energy storage chamber. It can be seen that in this embodiment, the original BMS battery management module of the energy storage chamber is effectively utilized, and the corresponding temperature of each battery pack in the chamber is used as the basic temperature data, which replaces the traditional air conditioning return air temperature collected by NTC sensors.

[0144] The virtual temperature acquisition module is used to generate virtual temperatures from the acquired temperature data using a dynamic weighting algorithm;

[0145] The signal conversion module is used to convert the virtual temperature into the corresponding target voltage signal based on the NTC voltage divider characteristics, and then connects the target voltage signal to the air conditioner controller to perform temperature control.

[0146] It should be noted that in this embodiment, the system executes the method described in Embodiment 1 above. Therefore, the specific steps of the virtual temperature acquisition module in generating virtual temperature using a dynamic weighting algorithm and the steps of the signal conversion module in converting virtual temperature into the corresponding target voltage signal based on the NTC voltage divider characteristic are the same as in Embodiment 1 above. This embodiment will not be described in detail here.

[0147] In this embodiment, the virtual temperature acquisition module includes a temperature data extraction unit. This unit is used to divide the acquired multiple sets of temperature data at the pack level and the cabin level before generating the virtual temperature. The pack level reflects the temperature state of a single battery pack, while the cabin level reflects the temperature state of the entire cabin. Specifically, based on the acquired individual cell temperatures, the following temperature data can be calculated: the average cabin temperature (the average of the characteristic temperatures of all battery packs in the cabin or the average of multiple ambient temperature sensors distributed in the cabin), the average temperature difference between individual cells in the cabin, the average and maximum individual cell temperatures corresponding to each battery pack, and the maximum temperature difference between individual cells in the cabin. Based on the acquired positive and negative terminal temperatures of the battery packs, the maximum terminal temperature in each battery pack and the maximum terminal temperature in the cabin can be calculated, providing a basis for subsequent calculations.

[0148] In this embodiment, the virtual temperature acquisition module further includes a first correction unit, a second correction unit, and a third correction unit. The first correction unit is used to correct abnormal terminal contact and abnormal cell consistency within the battery pack. The second correction unit is used to correct abnormal battery pack temperature. The third correction unit is used to correct abnormal cabin consistency. The specific correction method is the same as the correction mechanism mentioned in step S2 of Embodiment 1. This embodiment does not provide detailed limitations here.

[0149] In this embodiment, the system also includes a signal redundancy switching module. This module connects the output of the signal conversion module in parallel with the original NTC temperature measurement circuit to form a main and backup dual-path signal input to the air conditioner controller. When the target voltage signal output is abnormal, it automatically switches to the original NTC temperature measurement circuit for temperature control. Preferably, the signal redundancy switching module in this embodiment is a G6K-2P-Y relay single-pole double-throw switch. Figure 2 As shown, in this structure, the target voltage output terminal of the temperature control system serves as the main signal link, connected to a set of normally open contacts NO1 of a single-pole double-throw switch, and connected to the ADC sampling terminal of the air conditioner controller through the COM1 output terminal. When the coil is energized, COM1 and NO1 are connected, and the main signal link performs real-time temperature acquisition. The voltage divider signal output terminal of the original NTC temperature measurement circuit serves as the backup signal link, connected to a set of normally closed contacts NC1 of a single-pole double-throw switch, and connected to the ADC sampling terminal of the air conditioner controller through the COM1 output terminal. When the coil is de-energized, COM1 and NC1 are connected, and the backup signal link performs real-time temperature acquisition. At the same time, the grounding terminal of the original NTC temperature measurement circuit and the grounding terminal of the temperature control system are directly connected to the same ground.

[0150] In this embodiment, the temperature control system serves as a bridge between the energy storage compartment's BMS battery management module and the air conditioning controller. It replaces the traditional NTC sensor with the BMS battery management module for temperature acquisition, using battery pack temperature data as the basis for analyzing the compartment's temperature status. Compared to the traditional method of only collecting the air conditioning return air vent temperature, this significantly improves the comprehensiveness of temperature data collection. Furthermore, through a virtual temperature acquisition module and a signal conversion module, the system can process the acquired temperature data using a dynamic weighting algorithm and based on NTC voltage division characteristics to output a target voltage signal. This target voltage signal can be used to simulate an NTC voltage division signal and directly connect to the air conditioning controller without requiring modifications to the original air conditioning software and hardware. In other words, this temperature control system is compatible with any air-cooled air conditioning system based on NTC sampling. Therefore, this temperature control system not only boasts high temperature control accuracy, overcoming existing shortcomings, but also exhibits excellent adaptability and compatibility, possessing significant market value and economic benefits.

[0151] The above descriptions are merely embodiments of the present invention, and common knowledge regarding specific structures and characteristics in the solutions is not described in detail here. It should be noted that those skilled in the art can make several improvements without departing from the present invention, and these should also be considered within the scope of protection of the present invention. These improvements will not affect the effectiveness of the implementation of the present invention or the practicality of the patent. The scope of protection claimed in this application should be determined by the content of the claims, and the specific embodiments described in the specification can be used to interpret the content of the claims.

Claims

1. A temperature control method for an air-cooled electrochemical energy storage chamber, characterized in that, Includes the following steps: Step S1: Obtain the temperature data corresponding to each battery pack in the electrochemical energy storage chamber. The temperature data shall include at least the positive and negative terminal temperatures of the battery pack and the individual cell temperatures. Step S2: Generate virtual temperatures using a dynamic weighting algorithm on the acquired temperature data; Step S3: Based on the NTC voltage divider characteristics, the virtual temperature is converted into a corresponding target voltage signal, and the target voltage signal is connected to the air conditioner controller to perform temperature regulation, simulating an NTC voltage divider signal.

2. The temperature control method for the air-cooled electrochemical energy storage chamber according to claim 1, characterized in that: In step S2, the specific steps for generating a virtual temperature from the acquired temperature data using a dynamic weighting algorithm include: Step S21: Based on the temperatures of the positive and negative terminals of each battery pack, the average and maximum temperatures of individual cells, and predefined weights, a dynamic weighting algorithm is used to fuse the internal temperatures of each battery pack, thereby obtaining the characteristic temperatures of each battery pack. Specifically: in, The weight of the positive electrode of the battery pack under charging, discharging or static conditions; The temperature of the positive terminal of the i-th battery pack; The weight of the negative electrode of the battery pack under charging, discharging, or static conditions; The temperature of the negative terminal of the i-th battery pack; Weighted average temperature of individual cells within the battery pack during charging, discharging, or static states; Let be the average temperature of a single cell within the i-th battery pack; Weights are assigned to the maximum values ​​of individual cell temperatures within the battery pack during charging, discharging, or static states. The maximum temperature of a single cell within the i-th battery pack; Step S22: Combining predefined battery pack location weights, system charge / discharge state parameters, and temperature parameters including the deviation between the characteristic temperature of each battery pack and the average temperature of the compartment, the average temperature difference between individual cells within the compartment, and the maximum temperature difference between individual cells within the battery pack, dynamically calculate the compartment-level dynamic weights of each battery pack. Among them, the charge / discharge state parameters are used to determine the weight calculation coefficients; the compartment-level dynamic weights of each battery pack. The calculation method is as follows: In the formula, Position weights; The charge / discharge rate of the battery pack; The deviation between the characteristic temperature of the i-th battery pack and the average temperature of the cabin is denoted as . This represents the maximum temperature difference between individual cells within the battery pack. This represents the average temperature difference between individual units within the cabin. for The coefficient of change; for coefficient of variation; for coefficient of variation; Step S23: Based on the obtained cabin-level dynamic weights With the characteristic temperature of each battery pack A weighted fusion method is used to generate a virtual temperature that represents the overall thermal state of the energy storage compartment; Virtual temperature characterizing the overall thermal state of the energy storage compartment The specific calculation method is as follows: In the formula, Let be the characteristic temperature of the i-th battery pack; Let be the cabin-level dynamic weight of the i-th battery pack; This represents the average temperature difference between individual units within the cabin. It is the average difference between the maximum terminal temperature of each battery pack in the cabin and the average temperature of the corresponding individual cells in the battery pack. for The coefficient of change; for The coefficient of variation.

3. The temperature control method for the air-cooled electrochemical energy storage chamber according to claim 2, characterized in that: In step S2, a correction mechanism is also provided: In step S21, the correction mechanism includes terminal contact anomaly correction and single-cell consistency anomaly correction. When the terminal contact anomaly correction is triggered, the weight of the battery pack positive electrode is increased under charging, discharging, or resting conditions. The weight of the negative electrode under charging, discharging, or resting conditions ; When the single-cell consistency anomaly correction is triggered, the weight of the maximum value of the battery pack's single-cell temperature is increased. Simultaneously, the corresponding early warning procedure is activated; In step S22, the correction mechanism includes battery pack temperature anomaly correction. When battery pack temperature anomaly correction is triggered, it is determined whether the maximum temperature of a single battery cell is higher than a maximum threshold or lower than a minimum threshold. If the maximum temperature of a single battery cell is higher than the maximum threshold, then the maximum temperature of the single cell within the battery pack is adjusted accordingly. weight An increase of 18-22%, and virtual temperature. Increase by 0.5-0.7℃; when it is less than the minimum threshold, adjust the weight of the battery pack corresponding to that battery pack. Reduced by 48-52%; In step S23, the correction mechanism includes cabin consistency anomaly correction. When cabin consistency anomaly correction is triggered, the average temperature difference between individual units within the cabin is adjusted. coefficient of change Increased to 0.

3.

4. The temperature control method for an air-cooled electrochemical energy storage chamber according to claim 1, characterized in that: In step S3, the specific method for converting the virtual temperature into the corresponding target voltage signal based on the NTC voltage divider characteristic includes: Step S31: Construct the voltage-temperature mapping reference table for the air conditioner controller; Step S32: Based on the virtual temperature, query the corresponding target voltage value in the "voltage-temperature" mapping reference table, and convert the target voltage value into a target voltage signal.

5. The temperature control method for the air-cooled electrochemical energy storage chamber according to claim 4, characterized in that: In step S31, the voltage-temperature mapping reference table is constructed using the following method steps: Step S311: Output a voltage signal sequence covering the air conditioning range according to the preset voltage step; Step S312: For each voltage signal sequence output, the temperature value output by the air conditioner is collected once, until all voltage signal sequences are output. At the same time, a voltage-temperature mapping data pair is generated. Step S313: Filter out data pairs with temperatures in the range of -10~85℃ from the generated "voltage-temperature" mapping data pairs, and construct a reverse lookup reference table with temperature value as index and voltage value as feedback.

6. The temperature control method for the air-cooled electrochemical energy storage chamber according to claim 4, characterized in that: In step S32: After converting the target voltage value into a target voltage signal, the target voltage signal is then preprocessed. The preprocessing includes driving and enhancing the voltage signal, purifying it, and providing surge protection.

7. The temperature control method for an air-cooled electrochemical energy storage chamber according to claim 1, characterized in that: In step S3, the target voltage signal output terminal is connected in parallel with the original NTC temperature measurement circuit to form a main and backup two-way signal connected to the air conditioner controller. When the target voltage signal output is abnormal, the original NTC temperature measurement circuit is switched to perform temperature regulation.

8. A temperature control system for an air-cooled electrochemical energy storage chamber, characterized in that, include: The temperature acquisition module is used to acquire temperature data for each battery pack in the electrochemical energy storage chamber. The temperature data includes at least the temperature of the positive and negative terminals of the battery pack and the temperature of each individual cell. The virtual temperature acquisition module is used to generate virtual temperatures by applying a dynamic weighting algorithm to the acquired temperature data; The signal conversion module is used to convert the virtual temperature into a corresponding target voltage signal based on the NTC voltage divider characteristics. The target voltage signal is connected to the air conditioner controller to perform temperature regulation, simulating an NTC voltage divider signal.

9. The temperature control system for an air-cooled electrochemical energy storage chamber according to claim 8, characterized in that: It also includes a signal redundancy switching module, which connects the output of the signal conversion module in parallel with the original NTC temperature measurement circuit to form a main and backup two-way signal input to the air conditioner controller.

10. The temperature control system for an air-cooled electrochemical energy storage chamber according to claim 8, characterized in that: The virtual temperature acquisition module includes a first correction unit, a second correction unit, and a third correction unit. The first correction unit is used to correct abnormal terminal contact and abnormal cell consistency within the battery pack. The second correction unit is used to correct abnormal battery pack temperature. The third correction unit is used to correct abnormal cabin consistency.

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