Constant temperature and humidity control method and device for battery test

Abstract

The invention relates to the field of battery testing, in particular to a constant temperature and humidity control method and device for battery testing. The method comprises the following steps of extracting a test task specification file, performing operation test on a battery based on the test task specification file, and generating a test record set; detecting battery operation response parameters; performing variation trend prediction based on the battery operation response parameters to generate a parameter prediction curve; performing prediction correction based on the test record set and the parameter prediction curve to obtain a prediction result; comparing the prediction result with the target constant temperature value and the target constant humidity value moment by moment to generate a temperature and humidity deviation sequence; and carrying out preposed constant temperature and humidity regulation and control treatment based on the temperature and humidity deviation sequence. Accurate and stable experimental environment constant-temperature and constant-humidity control is provided, and the reliability of battery performance testing is improved.

Description

Technical Field

[0001] This invention relates to the field of battery testing, and more particularly to a constant temperature and humidity control method and apparatus for battery testing. Background Technology

[0002] During long-term battery testing, batteries continuously generate heat under conditions such as charging / discharging, rate switching, and aging tests, causing dynamic disturbances to the surrounding temperature and humidity. Different testing stages have varying requirements for environmental parameters, and even small fluctuations in temperature and humidity can be amplified into deviations in test results, thus affecting the judgment of the battery's true performance and lifespan characteristics. Furthermore, factors such as the thermal inertia of the test chamber, adjustment response lag, and parallel testing of multiple batteries further increase the complexity of constant temperature and humidity control, posing challenges to refined environmental control. Existing constant temperature and humidity control methods for battery testing mostly employ traditional closed-loop control or threshold-based adjustment strategies, primarily relying on real-time temperature and humidity sensor feedback to passively adjust cooling, heating, humidification, or dehumidification devices. While these methods can maintain basic environmental stability under steady-state conditions, they often suffer from adjustment lag, significant overshoot, and insufficient control accuracy under conditions of rapid battery load changes, frequent switching of test conditions, or significant environmental disturbances. Existing control methods typically lack in-depth analysis of the correlation between battery operating status and environmental changes, making it difficult to predict temperature and humidity trends in advance and achieve proactive environmental regulation. Summary of the Invention

[0003] To address the aforementioned technical problems, this invention proposes a constant temperature and humidity control method and apparatus for battery testing, thereby resolving at least one of the aforementioned technical problems.

[0004] To achieve the above objectives, the present invention provides a constant temperature and humidity control method for battery testing, comprising the following steps: Step S1: Extract the test task specification file, perform battery operation tests based on the test task specification file, and generate a test record set; Step S2: Detect battery operating response parameters; predict the changing trend based on battery operating response parameters and generate parameter prediction curves; Step S3: Based on the test record set and parameter prediction curve, perform prediction correction to obtain the prediction result; compare the prediction result with the target constant temperature value and the target constant humidity value at each time step to generate a temperature and humidity deviation sequence; Step S4: Perform pre-conditioning temperature and humidity control based on the temperature and humidity deviation sequence.

[0005] This specification provides a constant temperature and humidity control device for battery testing, used to execute the constant temperature and humidity control method for battery testing as described above, including: The test record unit is used to extract the test task specification file, perform battery operation tests based on the test task specification file, and generate a test record set. The trend prediction unit is used to detect battery operating response parameters; based on the changing trend of battery operating response parameters, it generates parameter prediction curves. The deviation calculation unit is used to perform prediction correction based on the test record set and parameter prediction curve to obtain the prediction result; the prediction result is compared with the target constant temperature value and the target constant humidity value at each time step to generate a temperature and humidity deviation sequence. The pre-control unit is used for pre-temperature and humidity control processing based on the temperature and humidity deviation sequence.

[0006] The specific benefits of this invention are as follows: By extracting the test task specification document and conducting battery operation tests according to this specification, the test objectives, test conditions, and environmental control requirements can be clearly defined at the beginning of the test, providing a unified and standardized basis for the battery testing process. The generated test record set comprehensively records the voltage, current, temperature rise, and environmental changes of the battery at different operating stages, effectively avoiding control deviations caused by inconsistent test conditions. By real-time detection of battery operating response parameters and prediction of their changing trends, the sensitivity of the battery to changes in environmental temperature and humidity under different loads, power, or operating states can be identified in advance. The generated parameter prediction curve can reflect the evolution trend of the battery's future operating state, thereby realizing the transformation from "post-event adjustment" to "trend prediction." Based on the test record set and parameter prediction curve, prediction correction can dynamically compensate for the cumulative error caused by a single prediction model, thereby improving the accuracy and reliability of the prediction results. By comparing the prediction results with the target constant temperature and humidity values ​​at each time step to form a temperature and humidity deviation sequence, the magnitude and rate of change of the environment deviating from the target state can be accurately characterized, achieving refined environmental control. Pre-conditioning based on temperature and humidity deviation sequences enables the environmental control system to intervene and adjust before deviations actually occur or reach thresholds. This effectively reduces temperature and humidity overshoot and hysteresis, improves the response speed and control accuracy of the test environment, and ensures that the battery remains in a stable and controllable constant temperature and humidity environment throughout the entire test cycle, thereby improving the consistency, repeatability, and reliability of battery performance test data. Attached Figure Description

[0007] Figure 1 This is a schematic diagram of the steps of a constant temperature and humidity control method for battery testing according to the present invention. Figure 2 This is a detailed flowchart illustrating the implementation steps of step S1. Figure 3 This is a flowchart illustrating the detailed implementation steps of step S2. Detailed Implementation

[0008] It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of the invention.

[0009] This application provides a constant temperature and humidity control method and apparatus for battery testing. The execution entities of the constant temperature and humidity control method and apparatus for battery testing include, but are not limited to, mechanical equipment, data processing platforms, cloud server nodes, network upload devices, etc., which can be considered as general computing nodes in this application. The data processing platform includes, but is not limited to, at least one of an audio / image management system, an information management system, and a cloud data management system.

[0010] Please see Figures 1 to 3 This invention provides a constant temperature and humidity control method for battery testing, comprising the following steps: Step S1: Extract the test task specification file, perform battery operation tests based on the test task specification file, and generate a test record set; Step S2: Detect battery operating response parameters; predict the changing trend based on battery operating response parameters and generate parameter prediction curves; Step S3: Based on the test record set and parameter prediction curve, perform prediction correction to obtain the prediction result; compare the prediction result with the target constant temperature value and the target constant humidity value at each time step to generate a temperature and humidity deviation sequence; Step S4: Perform pre-conditioning temperature and humidity control based on the temperature and humidity deviation sequence.

[0011] In the embodiments of the present invention, see Figure 1 The diagram below illustrates the steps of a constant temperature and humidity control method for battery testing according to the present invention. In this example, the steps of the constant temperature and humidity control method for battery testing include: Step S1: Extract the test task specification file, perform battery operation tests based on the test task specification file, and generate a test record set; In this embodiment, the test task specification document typically includes key information such as the test objective, applicable battery type, environmental condition requirements, and test duration. By systematically organizing the specification document, parameters related to environmental control and battery operation are extracted. For example, the test environment temperature is set to 55 ℃ ± 1 ℃, the relative humidity to 85 %RH ± 3 %RH, the test cycle to 240 h, the battery type to be a 50 Ah lithium-ion battery, and the test status to be fully charged and stationary or operating at a low rate. Under these constraints, the battery is subjected to operational testing. During the test, the ambient temperature, relative humidity, and corresponding timestamps within the test chamber are continuously collected, while the battery terminal voltage, current, and operating status are also recorded. All collected data are organized chronologically to form a test record set containing environmental change parameters and timestamps. Step S2: Detect battery operating response parameters; predict the changing trend based on battery operating response parameters and generate parameter prediction curves; In this embodiment, battery operating response parameters include multi-point temperature on the battery surface, internal resistance changes, and the degree of chemical reaction activity, which are collected in real time using temperature sensors and a testing system deployed on the battery surface. Under environmental conditions of 55 ℃ and 85%RH, the battery surface temperature may rise to 56–58 ℃ over time, and the rate of change of internal resistance will also vary with environmental stress. By performing time series analysis on these response parameters, their changing patterns and trends are identified, and based on historical data, predictions of changes over a future period are made, forming parameter prediction curves.

[0012] Step S3: Based on the test record set and parameter prediction curve, perform prediction correction to obtain the prediction result; compare the prediction result with the target constant temperature value and the target constant humidity value at each time step to generate a temperature and humidity deviation sequence; In this embodiment, the test record set reflects historical environmental changes, and the parameter prediction curve reflects the battery response trend. By comprehensively analyzing both, the temperature and humidity changes inside the test chamber can be predicted and corrected. When the parameter prediction curve shows an increase in the battery reaction rate, and historical records indicate that this change typically causes a temperature increase of 0.3–0.5 °C inside the chamber, it can be predicted that the future temperature inside the chamber may reach 55.5 °C. After obtaining the prediction results, they are compared with the target constant temperature value of 55 °C and the target constant humidity value of 85%RH at time intervals to calculate the differences between the predicted temperature and humidity and the target values, forming a continuous temperature and humidity deviation sequence.

[0013] Step S4: Perform pre-conditioning temperature and humidity control based on the temperature and humidity deviation sequence.

[0014] In this embodiment, trend analysis of the temperature and humidity deviation sequence can identify whether there is a risk of a continuous increase in temperature or humidity deviation. If the predicted temperature deviation increases from +0.2℃ to +0.6℃ within the next 15 minutes, it indicates a possibility of exceeding the allowable fluctuation range. Based on this analysis, pre-emptive control is applied to the temperature and humidity control module, such as reducing heating power or enhancing cooling and dehumidification capabilities in advance, thus suppressing environmental changes at the initial stage. This pre-emptive control effectively reduces environmental overshoot and hysteresis, ensuring the test chamber environment remains stable near the target constant temperature and humidity values, thereby guaranteeing environmental consistency and the reliability of test results during battery testing.

[0015] In this embodiment, see Figure 2 The diagram below illustrates the detailed implementation steps of step S1. In this embodiment, the detailed implementation steps of step S1 include: Extract the test task specification document; calculate the target constant temperature and target constant humidity values ​​based on the aforementioned computing environment test standards; Environmental values ​​of the test chamber were collected based on a distributed temperature and humidity sensor array. Based on the environmental values ​​of the test chamber, the deviations of the target constant temperature and target constant humidity values ​​are calculated to obtain the standard environmental parameter deviations. Environmental control instructions are generated based on deviations from standard environmental parameters. The environmental control module is driven by environmental control commands to adjust the test chamber environment. When the test chamber environmental value is detected to be equal to the target constant temperature and target constant humidity value, the battery is tested and the environmental change parameters and test timestamps are continuously collected. A test record set is generated based on the environmental change parameters and test timestamps.

[0016] In this embodiment, the test task specification documents are typically derived from national or industry standards, battery product testing plans, and internal quality verification documents of enterprises. The content covers the test objectives, applicable battery types, and environmental constraints. By systematically reviewing the specification documents, key information related to environmental control is extracted, including the test chamber's ambient temperature range, relative humidity range, allowable control deviation, steady-state holding time, and temperature and humidity change rate requirements. The specification may explicitly state that the damp heat test conditions are 55 ℃ ± 1 ℃, 85 %RH ± 3 %RH, with a holding time of no less than 240 h. Battery parameters mentioned in the document are extracted simultaneously, such as lithium-ion battery, nominal capacity 50 Ah, rated voltage 48 V, and test state of full charge and rest. By summarizing and organizing the textual descriptions, tabular data, and annotation clauses, the originally scattered specification content is transformed into a clearly structured and parameter-defined set of test task information. Environmental testing standards typically provide temperature and humidity requirements in the form of intervals; this step requires converting these interval requirements into the core setpoints of the constant temperature and humidity control system. When the standard requires a temperature of 55℃±1℃, 55℃ is set as the target constant temperature value, and the allowable control range is limited to 54℃ to 56℃. Relative humidity is also set using a center value method, with 85%RH as the target constant humidity value, and the achievable stable control range is determined based on the humidification and dehumidification capabilities of the test chamber. Batteries exhibit self-heating under high-temperature testing conditions; experimental data shows that in a 55℃ environment, the surface temperature rise of a fully charged battery can reach 2–3℃, and this influencing factor must be considered when setting the target constant temperature value.

[0017] The test chamber houses a distributed array of temperature and humidity sensors. These sensors are typically installed at different heights and spatial locations within the chamber, as well as near the battery samples, to reflect the uniformity of environmental distribution. The sensor measurement accuracy is generally controlled within ±0.1 ℃ for temperature and ±1 %RH for humidity to meet the environmental precision requirements of battery testing. During data acquisition, the sensors output environmental data at fixed time intervals, such as collecting temperature and relative humidity values ​​every 1 s or 5 s. The multi-point data is centrally aggregated and processed to form a set of current environmental values ​​for the test chamber, characterizing the overall environmental state.

[0018] The difference between the current environmental value and the target value is calculated to obtain the standard environmental parameter deviation. The deviation calculation uses the average or weighted average of multi-point sensor data as the representative environmental value. For example, if the average temperature at multiple measuring points in the test chamber is 53.8 ℃, it forms a deviation from the target constant temperature of 55 ℃. A temperature deviation of 1.2 ℃. The relative humidity is also calculated using a difference calculation; for example, if the current average humidity is 82%RH, the difference between this and the target value of 85%RH is... The humidity deviation is 3%RH. This deviation result not only reflects whether the environment meets the standards, but also determines the direction and magnitude of the deviation. Temperature deviation and humidity deviation correspond to heating, cooling, humidification, or dehumidification control methods, respectively. When the temperature deviation is negative, the system generates a heating enhancement command; when the deviation is positive, a cooling adjustment command is generated. The humidity control command determines the humidification or dehumidification intensity based on the direction of the humidity deviation. For example, if the humidity deviation is 3%, the humidity deviation is 3%. At 3%RH, a command is generated to activate the humidification module and increase its humidification power. The generation process of the control command comprehensively considers the deviation range, equipment response characteristics, and control rate requirements to avoid environmental oscillations caused by over-adjustment. By mapping the deviation amount to the control intensity, the continuity and stability of environmental control are achieved, ensuring that the test chamber environment gradually approaches the target constant temperature and humidity values.

[0019] After the environmental control command is generated, the temperature and humidity control module adjusts the test chamber environment accordingly. The heater, refrigeration unit, humidifier, and dehumidifier operate at their set power, gradually bringing the test chamber temperature and humidity towards the target values. When the system detects that the test chamber environmental values ​​are stable within the target constant temperature and humidity ranges and continuously meet the stability time requirements (e.g., temperature fluctuations not exceeding ±0.5 ℃ and humidity fluctuations not exceeding ±2 %RH within 30 minutes), the battery operation test is officially started. During the test, the battery can be in a static aging, charge-discharge cycle, or capacity maintenance test state, while environmental data is continuously collected. The environmental change parameters collected during the test include temperature, relative humidity, and their fluctuations. Test timestamps are used to identify the time position of each data point. By associating environmental parameters with timestamps, a continuous set of test records is generated to reflect the environmental change trajectory throughout the entire test cycle. In a 240-hour damp heat test, an environmental record is generated every 10 seconds, forming a complete record set containing tens of thousands of data points.

[0020] In this embodiment, the specific steps for extracting the test task specification file and calculating the target constant temperature and target constant humidity values ​​based on the computing environment test standard are as follows: Extract the test task specification document; Based on the test task specification document, the test standard requirements, battery type parameters, and test condition configuration are analyzed to obtain the environmental test standard. The target constant temperature and target constant humidity values ​​are calculated based on environmental testing standards.

[0021] In this embodiment, the basic input information required for the constant temperature and humidity test of the battery is obtained. The test task specification document is derived from the company's internal test requirements for this battery test, and includes the test purpose, applicable objects, and environmental constraints. Through systematic reading and organization of the specification document, parameter information directly related to environmental control is extracted, such as the test temperature range, relative humidity range, allowable fluctuation deviation, and steady-state holding time. The specification stipulates that the ambient temperature is 45 ℃±2℃, the relative humidity is 85 %RH±5 %RH, and the holding time is 72 h. The basic battery parameters involved in the document are extracted simultaneously, including battery type, nominal capacity, and rated voltage. By summarizing and organizing the textual descriptions, the scattered environmental conditions are transformed into a clear and complete set of parameters. The descriptions of environmental conditions in the test standard are transformed into clear constant temperature and humidity control targets, and an adaptation analysis is performed in conjunction with the battery material system and structural form. Lithium-ion batteries are more prone to performance degradation under high temperature and high humidity conditions, and the control accuracy range needs to be clearly defined. The test condition configuration is included in the analysis scope, such as the battery state of charge, whether it is in the static or aging stage, and the environmental stability requirements of different conditions vary. By integrating standard clauses, battery characteristics, and operating conditions, a directly executable environmental testing standard is formed. For example, under a SOC of 100%, a damp heat test is conducted on a 50 Ah battery at 55°C and 85%RH, specifying the duration and permissible deviations. The temperature and humidity ranges given in the testing standard are converted into single control setpoints; for example, 55°C ± 1°C is defined as the target constant temperature value of 55°C, and 85%RH ± 3%RH is defined as the target constant humidity value of 85%RH. The performance of experimental equipment and laboratory environmental conditions are taken into consideration to ensure the stability and controllability of the target values. The self-heating generated by the battery during testing is considered an important influencing factor; under high-temperature aging conditions, the battery temperature rise is typically 2–3°C, requiring adjustment margins in the environmental settings. Through thermal and humidity balance analysis, the target constant temperature and target constant humidity values ​​that meet the standard requirements and ensure stable operation are ultimately determined to guide the battery's constant temperature and humidity testing process.

[0022] In this embodiment, see Figure 3 The diagram below illustrates the detailed implementation steps of step S2. In this embodiment, the detailed implementation steps of step S2 include: Detect battery operating response parameters; calculate multi-point temperature on the battery surface, battery casing humidity, and chemical reaction rate based on the battery operating response parameters; The surface temperature rise gradient of the battery at multiple points is calculated to obtain the gradient value; The ambient relative humidity is calculated based on the humidity of the battery casing to obtain the local humidity. A set of battery response parameters was constructed based on gradient values, local humidity, and chemical reaction rates. Set a rolling time window; perform trend analysis and future fluctuation prediction on the battery response parameter set based on the rolling time window, and generate parameter prediction curves.

[0023] In this embodiment, the battery operating response parameters include terminal voltage, current, charge / discharge rate, internal resistance change, and multi-point temperature data on the battery surface. These data are continuously collected by sensors deployed on the battery surface and in the test circuit. The multi-point temperature of the battery surface is typically measured by multiple temperature sensors distributed in the positive and negative electrode areas, the central area, and the edge areas of the battery, reflecting the temperature distribution. Under constant temperature (55°C) and humidity (85%RH) damp heat test conditions, the surface temperature of a fully charged battery may fluctuate between 55°C and 58°C during static or low-rate discharge. The battery casing humidity is obtained by a humidity sensor attached to the casing surface, reflecting the difference between the local environment of the battery and the overall humidity of the test chamber. The chemical reaction rate is comprehensively estimated by current change, internal resistance evolution, and temperature rise. For example, in a high-temperature environment, the rate of decrease or increase in battery internal resistance over time can be used as a characterization of reaction activity. Based on the multi-point temperature data of the battery surface obtained in the previous step, the temperature difference between different measuring points is calculated as a gradient. Using the battery's length or radial direction as a reference, the ratio of the temperature difference between adjacent measuring points to their spatial distance is calculated to obtain the gradient value. In a constant temperature environment of 55 ℃, if the temperature at the measuring point in the middle of the battery is 57.5 ℃ and the temperature at the measuring point on the edge is 55.8 ℃, and the distance between the two points is 5 cm, then the corresponding temperature rise gradient is approximately 0.34 ℃ / cm. This gradient value is used to reflect the distribution of heat sources and heat dissipation capacity inside the battery. An excessively large gradient may indicate severe local reactions or uneven heat dissipation.

[0024] The humidity value collected by the battery casing humidity sensor is compared and analyzed with the overall relative humidity of the test chamber to calculate the local relative humidity. Using the target humidity of 85%RH in the test chamber as a reference, when the humidity measured on the battery casing surface is 88%RH, a local humidity of 3%RH is identified. This disturbance is usually caused by changes in battery surface temperature, uneven airflow distribution, or condensation effects due to battery self-heating. By continuously monitoring and calculating local humidity, it is possible to determine whether the battery surface is in an abnormally high or low humidity state, avoiding corrosion or decreased insulation performance caused by excessive local humidity. The gradient value reflects the battery's thermal distribution characteristics, local humidity reflects the stability of the battery surface environment, and the chemical reaction rate reflects the activity level of the internal reaction of the battery. By integrating these three types of parameters in chronological order, a battery response parameter set is formed. At a certain point in time, if the surface temperature rise gradient is 0.35℃ / cm, the local humidity is 3%RH, and the chemical reaction rate is at a high level, then this time period can be marked as a high-stress operating state. This parameter set is indexed by timestamps to form a continuous data sequence, which is used to reflect the comprehensive response characteristics of the battery during constant temperature and humidity testing.

[0025] The rolling time window is set according to testing requirements, such as 10 min, 30 min, or 1 h, to extract parameter change characteristics over a short period. Within each rolling time window, trend analysis is performed on the temperature rise gradient, humidity disturbance amplitude, and chemical reaction rate in the battery response parameter set to determine whether they are in an upward, stable, or downward state. Based on the changing patterns of historical window data, parameter changes in the next time window are predicted to form future fluctuation trends. When the temperature rise gradient shows a slow upward trend in several consecutive windows, the prediction curve can show that it may continue to rise in the subsequent period.

[0026] In this embodiment, step S3 includes the following steps: A correlation analysis of environmental changes was performed on the test record set and the battery response parameter set to obtain correlation values; Based on the correlation values ​​of environmental changes and parameter prediction curves, the environment inside the chamber is superimposed and predicted to obtain the predicted values ​​of temperature and humidity inside the chamber. Extract the material parameters of the test chamber; based on the material parameters of the test chamber, make prediction corrections to the predicted values ​​of temperature and humidity inside the chamber, and obtain the prediction results; The predicted results are compared with the target constant temperature and target constant humidity values ​​at each time step to generate a temperature and humidity deviation sequence.

[0027] In this embodiment, the test record set includes environmental change parameters such as temperature, relative humidity, and timestamps, while the battery response parameter set reflects operational characteristics such as battery surface temperature rise gradient, local humidity, and chemical reaction rate. By aligning the two types of data on a unified time axis, the correspondence between environmental parameter changes and battery response changes is analyzed. In a damp heat test at 55 ℃ and 85 %RH, when the test chamber temperature experiences a short-term fluctuation of 0.8 ℃, the battery surface temperature rise gradient may simultaneously increase to 0.35 ℃ / cm. Based on statistical analysis and trend matching methods, the magnitude of environmental parameter changes and the degree of battery response changes are quantitatively evaluated, forming an environmental change correlation value. The parameter prediction curve reflects the trend of battery response parameters over a future time period, and the environmental change correlation value is used to characterize the feedback effect of environmental changes on battery response. By superimposing the two analyses, the direction and magnitude of the impact of environmental changes on the temperature and humidity inside the chamber can be deduced. When the parameter prediction curve shows that the battery chemical reaction rate will increase within the next 30 minutes, and the environmental change correlation value indicates that the increased reaction rate will cause the temperature inside the chamber to rise by approximately 0.3 ℃, an upward trend in the test chamber temperature can be predicted. This superposition prediction process takes into account both environmental inertia and the battery's own heat generation to generate predicted values ​​for the temperature and humidity inside the chamber, such as a predicted temperature of 55.6 ℃ and a relative humidity of 86 %RH.

[0028] The material parameters of the test chamber include the type and thickness of the chamber material, thermal conductivity, moisture absorption characteristics, and sealing performance. These parameters directly affect the response speed and stability of temperature and humidity changes. Test chambers with stainless steel inner liner and polyurethane insulation have low thermal conductivity and exhibit significant temperature lag. By incorporating the test chamber material parameters into the prediction model, the predicted temperature and humidity values ​​obtained in the previous step are corrected. With a predicted temperature increase of 0.6 ℃, considering the thermal inertia of the chamber, the actual temperature increase may be corrected to 0.4 ℃. Humidity prediction is also adjusted based on the chamber's moisture absorption capacity and airtightness. The corrected prediction results are compared time-by-time with the target constant temperature and humidity values ​​to calculate the difference between the predicted environment and the target values. If the target constant temperature is 55 ℃ and the predicted temperature at a certain time is 55.4 ℃, the corresponding temperature deviation is +0.4 ℃; if the target constant humidity is 85%RH and the predicted humidity is 87%RH, the humidity deviation is +2%RH. Temperature and humidity deviation data are continuously generated throughout the entire prediction time range to form a temperature and humidity deviation sequence. This sequence is used to identify potential future out-of-limit trends.

[0029] In this embodiment, the specific steps for performing environmental change correlation analysis on the test record set and battery response parameter set to obtain correlation values ​​are as follows: Define the sampling frequency; divide and label the test record set according to the sampling frequency to obtain the temperature and humidity change sequence; Based on the temperature and humidity change sequence, parameter fluctuation correlation analysis was performed on the battery response parameter set to obtain parameter correlation data; The delay variation correction is applied to the parameter correlation data to obtain the delay coefficient; The propagation changes of temperature and humidity inside the chamber are calculated based on the influence delay coefficient, and the correlation value of environmental changes is obtained.

[0030] In this embodiment, the acquisition frequency is set according to the accuracy of constant temperature and humidity control and the battery test response speed. Common settings include acquiring temperature and relative humidity data once every 1 second, 5 seconds, or 10 seconds. In high-temperature and high-humidity aging tests, the acquisition frequency is usually set to 1 second to capture minute environmental fluctuations. Based on the set acquisition frequency, the environmental data in the test record set is re-divided and time-stamped. The continuously acquired data is organized according to fixed time intervals to form an ordered temperature and humidity change sequence. Under conditions of 55 ℃ and 85 %RH, a set of temperature and humidity data is generated every 1 second. Continuous recording can reflect the fluctuation of temperature within ±0.3 ℃ and humidity within ±2 %RH. The temperature and humidity change sequence is aligned with the battery response parameter set on the same time axis. By comparing the synchronous or asynchronous changes of environmental parameter changes with the battery surface temperature rise gradient, local humidity, and chemical reaction rate, the correlation characteristics between the two are analyzed. After a short-term increase of 0.5 ℃ in the temperature change sequence, the temperature gradient on the battery surface increased from 0.28 ℃ / cm to 0.34 ℃ / cm within a few seconds, indicating a positive correlation.

[0031] Due to thermal inertia and humidity diffusion processes within the test chamber, changes in environmental temperature and humidity do not instantaneously affect the battery response parameters. Typical delay times are determined by analyzing the time difference between environmental changes and battery response changes in the parameter correlation data. In a humid and hot environment, the battery surface temperature change may occur with a delay of 10–20 seconds after the test chamber temperature rises. By statistically analyzing different environmental change events, the average delay time between environmental changes and battery response is calculated and normalized to obtain the influence delay coefficient. The propagation process of temperature and humidity changes within the chamber is calculated, analyzing the dynamic characteristics of environmental changes diffusing from the chamber control unit to the battery area. After the heating power is increased, the temperature change within the chamber is gradually transmitted through air convection and chamber heat transfer; the delay coefficient is used to correct the predicted rate and magnitude of change. Combining experimental parameters, such as the average wind speed within the chamber, chamber volume, and heat capacity, the temperature and humidity propagation process is comprehensively calculated, ultimately yielding the environmental change correlation value.

[0032] In this embodiment, step S4 includes the following steps: Based on the temperature and humidity deviation sequence, the temperature and humidity control module makes a pre-control decision and obtains the pre-control parameters. The current power compensation is calculated based on the pre-control parameters, and the compensation power is output. Dynamic temperature and humidity control is performed based on the compensation power.

[0033] In this embodiment, the temperature and humidity deviation sequence is obtained by comparing the predicted temperature and humidity with the target constant temperature and humidity values ​​at each time step, reflecting the potential deviation trend of the environment over a future period. By analyzing the trend of the deviation sequence, it can be determined whether the temperature or humidity has a continuous upward or downward trend. When the predicted temperature deviation gradually increases from +0.2 ℃ to +0.6 ℃ within the next 10 minutes, it indicates that there is a risk of continuous temperature rise inside the chamber. Based on this trend, pre-emptive control parameters are generated to reduce heating power or enhance cooling capacity in advance. Humidity control is also judged based on the deviation sequence. When the predicted humidity deviation gradually increases to +3 %RH, the dehumidification control parameters are triggered in advance. The pre-emptive control parameters are usually described by control intensity, control direction, and duration. Based on the control direction and intensity given in the pre-emptive control parameters, the working power of the current temperature and humidity control module is compensated. In 55℃ constant temperature control, if the predicted temperature shows an upward trend, the pre-regulation parameters may require a 10% reduction in heating power. With the current heating power at 1.2 kW, the compensation power calculation would be a reduction of approximately 0.12 kW. The humidity control module also performs compensation calculations based on the predicted humidity deviation. For example, under a target humidity of 85%RH, if the predicted humidity deviation is +2.5%RH, the corresponding increase would be in dehumidification power or a decrease in humidification power. The compensation power calculation comprehensively considers equipment response characteristics, power adjustment steps, and environmental inertia to avoid excessive power adjustments that could cause environmental oscillations.

[0034] The temperature and humidity control module adjusts the heating, cooling, humidification, and dehumidification devices in real time according to the compensation power command, gradually bringing the environment inside the chamber closer to the target constant temperature and humidity values. During the high-temperature and humidity test, by reducing the heating power and simultaneously enhancing the dehumidification capacity, temperature fluctuations are controlled within ±0.5 ℃ and humidity fluctuations within ±2 %RH. During the control process, environmental parameters are continuously collected by sensors and fed back to the control system, forming a closed-loop regulation mechanism. The compensation power can be continuously corrected according to new deviation sequences during operation, achieving continuous and smooth dynamic adjustment.

[0035] In this embodiment, a constant temperature and humidity control device for battery testing is provided, which is used to execute the constant temperature and humidity control method for battery testing as described above, including: The test record unit is used to extract the test task specification file, perform battery operation tests based on the test task specification file, and generate a test record set. The trend prediction unit is used to detect battery operating response parameters; based on the changing trend of battery operating response parameters, it generates parameter prediction curves. The deviation calculation unit is used to perform prediction correction based on the test record set and parameter prediction curve to obtain the prediction result; the prediction result is compared with the target constant temperature value and the target constant humidity value at each time step to generate a temperature and humidity deviation sequence. The pre-control unit is used for pre-temperature and humidity control processing based on the temperature and humidity deviation sequence.

[0036] Therefore, the embodiments should be considered as exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of the equivalents of the application are intended to be included within the invention.

[0037] The above description is merely a specific embodiment of the present invention, enabling those skilled in the art to understand or implement it. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein are implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the present invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features of the invention herein.

Claims

1. A method for controlling temperature and humidity for battery testing, characterized in that, Includes the following steps: Step S1: Extract the test task specification file, perform battery operation tests based on the test task specification file, and generate a test record set; Step S2: Detect battery operating response parameters; Based on the changing trends of battery operating response parameters, parameter prediction curves are generated. Step S3: Based on the test record set and parameter prediction curve, perform prediction correction to obtain the prediction result; compare the prediction result with the target constant temperature value and the target constant humidity value at each time step to generate a temperature and humidity deviation sequence; Step S4: Perform pre-conditioning temperature and humidity control based on the temperature and humidity deviation sequence.

2. The constant temperature and humidity control method for battery testing according to claim 1, characterized in that, The specific steps of step S1 are as follows: Extract the test task specification document; calculate the target constant temperature and target constant humidity values ​​based on the aforementioned computing environment test standards; Environmental values ​​of the test chamber were collected based on a distributed temperature and humidity sensor array. Based on the environmental values ​​of the test chamber, the deviations of the target constant temperature and target constant humidity values ​​are calculated to obtain the standard environmental parameter deviations. Environmental control instructions are generated based on deviations from standard environmental parameters. The temperature and humidity control module is driven by environmental control commands to adjust the test chamber environment. When the test chamber environment value is detected to be equal to the target constant temperature value and the target constant humidity value, the battery is tested and environmental change parameters and test timestamps are continuously collected. A test record set is generated based on the environmental change parameters and test timestamps.

3. The constant temperature and humidity control method for battery testing according to claim 2, characterized in that, The specific steps for extracting the test task specification document and calculating the target constant temperature and target constant humidity values ​​based on the computing environment test standard are as follows: Extract the test task specification document; Based on the test task specification document, the test standard requirements, battery type parameters, and test condition configuration are analyzed to obtain the environmental test standard. The target constant temperature and target constant humidity values ​​are calculated based on environmental testing standards.

4. The constant temperature and humidity control method for battery testing according to claim 1, characterized in that, The specific steps of step S2 are as follows: Detect battery operating response parameters; calculate multi-point temperature on the battery surface, battery casing humidity, and chemical reaction rate based on the battery operating response parameters; The surface temperature rise gradient of the battery at multiple points is calculated to obtain the gradient value; The ambient relative humidity is calculated based on the humidity of the battery casing to obtain the local humidity. A set of battery response parameters was constructed based on gradient values, local humidity, and chemical reaction rates. Set a rolling time window; perform trend analysis and future fluctuation prediction on the battery response parameter set based on the rolling time window, and generate parameter prediction curves.

5. The constant temperature and humidity control method for battery testing according to claim 1, characterized in that, The specific steps of step S3 are as follows: A correlation analysis of environmental changes was performed on the test record set and the battery response parameter set to obtain correlation values; Based on the correlation values ​​of environmental changes and parameter prediction curves, the environment inside the chamber is superimposed and predicted to obtain the predicted values ​​of temperature and humidity inside the chamber. Extract the material parameters of the test chamber; based on the material parameters of the test chamber, make prediction corrections to the predicted values ​​of temperature and humidity inside the chamber, and obtain the prediction results; The predicted results are compared with the target constant temperature and target constant humidity values ​​at each time step to generate a temperature and humidity deviation sequence.

6. The constant temperature and humidity control method for battery testing according to claim 5, characterized in that, The material parameters of the test chamber include its own heat capacity, moisture capacity, and heat and moisture dissipation characteristics.

7. The constant temperature and humidity control method for battery testing according to claim 5, characterized in that, The specific steps for performing environmental change correlation analysis on the test record set and battery response parameter set to obtain correlation values ​​are as follows: Define the sampling frequency; divide and label the test record set according to the sampling frequency to obtain the temperature and humidity change sequence; Based on the temperature and humidity change sequence, parameter fluctuation correlation analysis was performed on the battery response parameter set to obtain parameter correlation data; The delay variation correction is applied to the parameter correlation data to obtain the delay coefficient; The propagation changes of temperature and humidity inside the chamber are calculated based on the influence delay coefficient, and the correlation value of environmental changes is obtained.

8. The constant temperature and humidity control method for battery testing according to claim 6, characterized in that, The environmental change correlation values ​​include the temperature rise of the enclosure caused by the battery heating power per unit time, the humidity shift of the enclosure caused by the unit humidity disturbance, the heat diffusion time constant, and the humidity propagation rate coefficient.

9. The constant temperature and humidity control method for battery testing according to claim 1, characterized in that, The specific steps of step S4 are as follows: Based on the temperature and humidity deviation sequence, the temperature and humidity control module makes a pre-control decision and obtains the pre-control parameters. The current power compensation is calculated based on the pre-control parameters, and the compensation power is output. Dynamic temperature and humidity control is performed based on the compensation power.

10. A constant temperature and humidity control device for battery testing, characterized in that, A method for performing constant temperature and humidity control for battery testing as described in claim 1 includes: The test record unit is used to extract the test task specification file, perform battery operation tests based on the test task specification file, and generate a test record set. The trend prediction unit is used to detect battery operating response parameters; based on the changing trend of battery operating response parameters, it generates parameter prediction curves. The deviation calculation unit is used to perform prediction correction based on the test record set and parameter prediction curve to obtain the prediction result; the prediction result is compared with the target constant temperature value and the target constant humidity value at each time step to generate a temperature and humidity deviation sequence. The pre-control unit is used for pre-temperature and humidity control processing based on the temperature and humidity deviation sequence.

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