High temperature resistance measuring system for lithium ion battery electrolyte

Abstract

The invention discloses a lithium ion battery electrolyte high temperature resistance determination system, which relates to the technical field of battery electrolyte determination, and comprises a central control system, a data acquisition and analysis module and an electrochemical performance test module, the system is characterized in that the central control system is connected with a data acquisition and analysis module and an electrochemical performance test module through a laboratory local area network, the data acquisition module is connected to the electrochemical performance test module through a data line, and the electrochemical performance test module is used for detecting the electrochemical performance change of the battery electrolyte; the electrochemical performance test module comprises a cyclic voltammetry unit, an alternating current impedance spectroscopy unit and a charge and discharge test unit. By installing the electrochemical performance test module, the electrochemical performance test function of the electrolyte is realized, the problem that the electrochemical performance of the electrolyte in a high-temperature environment cannot be accurately evaluated is solved, performance data of the electrolyte under an actual battery working condition is provided, and battery design and optimization are supported.

Description

Technical Field

[0001] The invention relates to the technical field of battery electrolyte determination, in particular to a high temperature resistant determination system for lithium ion battery electrolyte. Background Art

[0002] As a core component of modern portable electronic devices, electric vehicles and energy storage systems, the performance and safety of lithium-ion batteries are crucial. Electrolyte is an important component of lithium-ion batteries, and its stability in high temperature environments directly affects the performance and life of the battery. Under high temperature conditions, the electrolyte may decompose, volatilize or react adversely with other battery materials, resulting in problems such as battery capacity decay, increased internal resistance and even thermal runaway. Therefore, accurately evaluating the tolerance of electrolytes in high temperature environments has become a key link in the research and development of lithium-ion batteries.

[0003] The existing lithium-ion battery electrolyte high temperature resistance measurement system cannot effectively evaluate the changes in the electrochemical properties of the electrolyte after it is resistant to high temperature, resulting in the inability to accurately and effectively evaluate the high temperature resistance of the electrolyte, and the inability to accurately evaluate the electrolyte's tolerance in a high temperature environment.

[0004] Therefore, it is very necessary to propose a high temperature resistance determination system for lithium ion battery electrolyte in the present application to solve the technical problems in the background.

[0005] Patent document CN110994031B discloses a fast-charging high-temperature resistant electrolyte and a preparation method. The above patent achieves high electrolyte conductivity and good mechanical properties. Since there is no solvent volatilization and leakage, the safety and stability of the battery can be improved. After testing, the lithium-ion polymer battery using the electrolyte of this application can meet the requirements of 5C fast charging, but the above patent cannot realize the electrochemical performance testing function of the electrolyte.

[0006] Patent document CN112240874B discloses a method for screening high-temperature stable lignin for batteries. The above patent achieves this by simulating the battery formation environment and high-temperature life test environment, detecting the dissolution amount and stable remaining amount of a quantitative lignin sample in a sulfuric acid electrolyte, and calculating the amount of lignin lost due to degradation and inactivation in a high-temperature sulfuric acid electrolyte through an ultraviolet standard curve equation, thereby drawing a high-temperature daily dissolution amount curve and a high-temperature daily decomposition rate curve of the lignin, and screening out the type of lignin that can stably exist for a long time in a high-temperature environment through data and spectrum comparison, thereby providing the battery industry with an efficient, stable and widely used method for identifying high-temperature resistant lignin. However, the above patent cannot realize the analysis function of electrochemical performance test data.

[0007] Patent document CN111313084B discloses a method for preparing a high and low temperature resistant lithium-ion battery. The above patent solves the technical problem of poor high and low temperature resistance of lithium-ion batteries in the prior art, but the above patent cannot realize the high temperature environment control function of the measurement process.

[0008] Patent document CN104465097B discloses a method for preparing a high-temperature resistant and high-reliability electrolytic capacitor. The above patent realizes that the capacitor prepared by this method can withstand a greater ripple current impact in a high-temperature environment and work continuously and normally in an environment above 200°C, but the above patent cannot realize the monitoring, control and adjustment functions of the measured environmental conditions.

[0009] In summary, the above patent cannot realize the electrochemical performance test function of the electrolyte, the analysis function of the electrochemical performance test data, the high temperature environment control function of the measurement process and the monitoring, control and adjustment function of the measurement environment conditions, resulting in the inability to monitor the electrochemical performance changes of the electrolyte after high temperature, the inability to accurately and effectively evaluate the high temperature resistance of the electrolyte and the inability to improve the measurement accuracy; To this end, the present application proposes a high temperature resistant measurement system for lithium ion battery electrolyte that can realize the electrochemical property testing function of the electrolyte, the analysis function of the electrochemical property test data, the high temperature environment control function of the measurement process and the monitoring, control and adjustment function of the measurement environment conditions. Summary of the invention

[0010] The purpose of the present invention is to provide a high temperature resistance measurement system for lithium ion battery electrolyte to solve the technical problems proposed in the above background technology that the electrochemical performance test function of the electrolyte, the analysis function of the electrochemical performance test data, the high temperature environment control function of the measurement process and the monitoring, control and adjustment function of the measurement environment conditions cannot be realized, resulting in the inability to monitor the changes in the electrochemical properties of the electrolyte after high temperature, the inability to accurately and effectively evaluate the high temperature resistance of the electrolyte and the inability to improve the measurement accuracy.

[0011] To achieve the above object, the present invention provides the following technical solutions: a high temperature resistance determination system for lithium ion battery electrolyte, comprising a central control system, a data acquisition and analysis module and an electrochemical performance test module, wherein the central control system is connected to the data acquisition and analysis module and the electrochemical performance test module via a laboratory local area network, the data acquisition module is connected to the electrochemical performance test module via a data line, and the electrochemical performance test module is used to detect changes in the electrochemical performance of the battery electrolyte; The electrochemical performance test module includes: a cyclic voltammetry unit, an AC impedance spectrum unit and a charge and discharge test unit; The cyclic voltammetry unit uses a current scanning system to measure the electrochemical properties of the electrolyte using a scanning current, uses a potential control system to accurately control and measure potential changes, and uses a data recorder to record the cyclic voltammetry curve; The AC impedance spectroscopy unit uses an impedance meter to measure the AC impedance of the electrolyte, analyzes the ion conductivity, uses a frequency scanning module to perform impedance testing at different frequencies to obtain a detailed impedance spectrum, and uses data processing software to process and analyze impedance data to generate a result chart; The charge and discharge test unit uses a constant current source to provide a stable charge and discharge current to simulate the actual working conditions of the battery, uses a power meter to accurately measure the charge and discharge capacity, evaluates the performance of the electrolyte, and uses a cycle test system to perform charge and discharge cycles to evaluate the stability of the electrolyte; The measuring system is also designed with a high temperature environment control module, which is used to control and adjust the heating process of the high temperature resistance measurement; The high temperature environment control module includes: a high temperature furnace, a temperature controller and a cooling system; A high-temperature heater and a thermocouple sensor are installed in the high-temperature furnace. The high-temperature heater heats the sample evenly within the set temperature range, and the thermocouple sensor monitors the sample temperature in real time to provide accurate temperature control feedback. The temperature controller is designed with a PID control system and a safety protection mechanism. The PID control system accurately controls the heating temperature change of the high-temperature heater. The temperature parameters are set and monitored through the temperature setting interface. The thermocouple sensor is connected to the temperature controller through a data signal line. The safety protection mechanism is an over-temperature alarm and automatic power-off function. The cooling system uses circulating water to quickly cool the sample, uses an air cooling system to assist cooling, and improves heat dissipation efficiency through fans and heat exchangers.

[0012] Preferably, the data acquisition and analysis module is used to collect and analyze the test data in the electrochemical performance test module in real time; The data acquisition and analysis module includes: data acquisition system, data analysis software and report generation system; The data acquisition system collects the temperature, pressure and conductivity parameters of the electrolyte simultaneously through a multi-channel data acquisition device, transmits the data to the central control system through a wireless method, and saves long-term test data through the data storage device in the central control system; Data analysis software uses real-time analysis software to process and analyze collected data in real time, generate analysis reports, optimize the data analysis process through machine learning algorithms, and visualize data through a graphical interface; The report generation system allows users to customize the report format and content, and automatically generates test reports based on the analysis results.

[0013] Preferably, the assay system is designed with a sample preparation module, which is used to perform pre-treatment preparation on the assay sample; The sample preparation module includes: an automatic sampling unit, a pretreatment unit and a sample injection unit; The automatic sampling unit automatically samples from the electrolyte sample container through a robotic arm / fluid delivery system, and the electrolyte sample extracted from the automatic sampling unit is passed through a sample storage device, the sample storage device has a cooling function, and the sample is preliminarily filtered through a microporous filter membrane and a centrifuge to remove impurities; The pretreatment unit preheats the sample by simulating a high temperature environment within a set temperature range through a heating device, stirs the sample with a stirrer, and removes bubbles in the sample through ultrasonic waves using a bubble removal device; The sample injection unit injects the pretreated sample into the test container using an automatic syringe, ensures the accurate position of the sample in the test container through a sample positioning system, and seals the test container after sample injection using a sealing device.

[0014] Preferably, a pressure control module is installed in the test container, and the pressure control module is used to monitor and control the pressure state in the test container in real time; The pressure control module includes: a pressure sensor, a pressure regulator and a pressure protection device, and the pressure sensor is connected to the pressure regulator and the pressure protection device through a data signal line; The pressure sensor monitors the pressure changes inside the sample in real time, collects and records the data of the pressure sensor through the data acquisition system, and calibrates the pressure sensor regularly through the calibration device; The pressure regulator is designed with an automatic pressure regulating valve and a manual regulating device. The automatic pressure regulating valve automatically adjusts the pressure in the sample container according to the feedback of the pressure sensor. The manual regulating device allows manual pressure adjustment. The pressure buffer device prevents instantaneous pressure changes from causing damage to the sample. The pressure protection device is designed with an overpressure protection system, a safety valve and a pressure monitoring display. When the pressure exceeds the set value of the overpressure protection system, the pressure relief device is automatically started. At the same time, it supports manual / automatic opening of the safety valve to release excess pressure. The pressure monitoring display displays the internal pressure of the sample container in real time.

[0015] Preferably, the measuring system is also designed with an environmental control module, which is used to control the stability of laboratory environmental conditions; The environmental control module includes: temperature and humidity control system, air purification system and noise control system; The temperature and humidity control system monitors the temperature and humidity changes in the laboratory in real time through the sensor monitoring system, uses a constant temperature and humidity device to ensure the stability of the temperature and humidity of the laboratory environment, and uses a data recording system to record environmental data; The air purification system uses high-efficiency filters to remove particles and harmful gases in the air in the laboratory to keep the air clean. It uses a negative ion generator to generate negative ions to further purify the air. The air circulation system ensures good air circulation in the laboratory. Sound insulation materials are installed around laboratory walls and equipment to reduce noise interference. The noise control unit monitors the noise level in the laboratory in real time through the noise monitoring system and further reduces the noise through noise reduction equipment.

[0016] Preferably, the measuring system is also designed with a safety protection module, which is used to provide safety protection for the measuring process; The safety protection module includes: fire and explosion prevention devices, gas monitoring systems and safety protection equipment; The fire and explosion prevention device includes fireproof isolation panels, explosion suppression systems and fire extinguishers. The fireproof isolation panels prevent fires caused by high temperatures and protect the safety of equipment and operators. The explosion suppression system automatically activates the suppression device when an explosion risk is detected. It is equipped with various types of fire extinguishers to deal with sudden fires. The gas monitoring system includes a toxic gas sensor, an alarm system and a ventilation system. The toxic gas sensor monitors the concentration of toxic gases in the test environment. The alarm system automatically alarms when the toxic gas sensor detects that the concentration of toxic gases exceeds the safe value. After the alarm system is activated, the ventilation system automatically starts to quickly discharge the toxic gas upon receiving the alarm signal. Safety protection equipment includes protective clothing, goggles and emergency escape equipment. Protective clothing provides protection for operators, goggles protect operators' eyes from high temperature and chemical damage, and emergency escape equipment is equipped to ensure that operators can evacuate quickly in dangerous situations.

[0017] Preferably, the measurement system is also designed with a user interface control module, which is used to remotely monitor and control the measurement process; The user interface control module includes: a central control system, a remote monitoring control unit and a system diagnosis and maintenance unit; The central control system is designed with a touch screen interface, control software and user authority management. The user interface is convenient for operating and monitoring the system. The control software integrates the control functions of all modules for centralized control. The user authority management sets different levels of user authority to ensure system security. The remote monitoring control unit is designed with a network connection module, mobile terminal application and data synchronization function. The network connection module supports remote connection, allowing users to monitor and control the system through the network. The mobile terminal application facilitates users to operate through mobile devices. The data synchronization function synchronizes the central control system data in real time. The system diagnosis and maintenance unit is designed with a self-diagnosis system, maintenance reminder function and spare parts management system. The self-diagnosis system automatically detects system failures and provides solutions. The maintenance provision function automatically reminds users to perform system maintenance based on the measured system usage. The spare parts management system records and manages system spare parts.

[0018] Preferably, the data collection and analysis module performs the following steps to analyze the measured data: Data preprocessing: remove outliers, missing values, fill in data gaps, convert data of different dimensions to the same scale, and use wavelet transform to remove data noise; Feature extraction: extract the basic statistical features of time series data, extract the data spectrum features through fast Fourier transform, and extract the data time domain features using wavelet transform; Data visualization: Line graphs show the changing trend of individual parameters over time, heat maps show the correlation and analysis between multiple parameters, and scatter plots show the relationship and distribution between two parameters.

[0019] Preferably, the machine learning algorithm optimization analysis process in the data acquisition and analysis module is as follows: Utilize LSTM neural network to capture long-term dependencies in time series data, predict performance trends of electrolytes under long-term high temperatures, and improve prediction accuracy by adjusting the number of network layers, nodes, and learning rate. The linear regression algorithm is used to predict the conductivity change of the electrolyte at high temperature. Based on historical data, a linear relationship model between conductivity and temperature is established. Cross-validation and regularization are used to prevent overfitting.

[0020] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention realizes the electrochemical performance test function of the electrolyte by installing an electrochemical performance test module, solves the problem of not being able to accurately evaluate the electrochemical performance of the electrolyte under high temperature environment, provides the performance data of the electrolyte under actual battery working conditions, and supports battery design and optimization; 2. The present invention realizes the analysis function of electrochemical performance test data by installing a data acquisition and analysis module, solves the problem of being unable to process a large amount of data to provide clear and detailed analysis results, improves the accuracy of data processing and analysis, reduces human errors, improves the overall performance and stability of the electrolyte, and provides reliable support for battery research and development; 3. The present invention realizes the high temperature environment control function of the measurement process by installing a high temperature environment control module, solves the problem of inaccurate test results caused by failure to provide a stable high temperature environment, and improves the measurement accuracy; 4. The present invention realizes the monitoring, control and adjustment functions of the measurement environment conditions by installing a pressure control module and an environmental control module, solves the problem of the influence of changing environmental factors on the measurement results, improves the accuracy of high temperature resistance measurement, and improves the measurement work efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a schematic diagram of the measurement process of the present invention; Figure 2 It is a schematic diagram of the electrochemical performance test curve of the present invention. DETAILED DESCRIPTION

[0022] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. Example 1

[0023] See also Figure 1 and Figure 2 , an embodiment provided by the present invention: a high temperature resistance determination system for lithium ion battery electrolyte, comprising a central control system, a data acquisition and analysis module and an electrochemical performance test module, wherein the central control system is connected to the data acquisition and analysis module and the electrochemical performance test module via a laboratory local area network, the data acquisition module is connected to the electrochemical performance test module via a data line, and the electrochemical performance test module is used to detect changes in the electrochemical properties of the battery electrolyte; The electrochemical performance test module includes: a cyclic voltammetry unit, an AC impedance spectrum unit and a charge and discharge test unit; The cyclic voltammetry unit uses a current scanning system to measure the electrochemical properties of the electrolyte using a scanning current, uses a potential control system to accurately control and measure potential changes, and uses a data recorder to record the cyclic voltammetry curve; The AC impedance spectroscopy unit uses an impedance meter to measure the AC impedance of the electrolyte, analyzes the ion conductivity, uses a frequency scanning module to perform impedance testing at different frequencies to obtain a detailed impedance spectrum, and uses data processing software to process and analyze impedance data to generate a result chart; The charge and discharge test unit uses a constant current source to provide a stable charge and discharge current to simulate the actual working conditions of the battery, uses a power meter to accurately measure the charge and discharge capacity, evaluates the performance of the electrolyte, and uses a cycle test system to perform charge and discharge cycles to evaluate the stability of the electrolyte; Further, the working electrode, the reference electrode and the counter electrode are cleaned and processed to ensure that their surfaces are clean, the lithium-ion battery electrolyte to be tested is injected into the electrolytic cell, the working electrode, the reference electrode and the counter electrode are inserted into the electrolytic cell, and connected to the electrochemical workstation, and the potential range, scanning speed and other parameters are set on the potentiostat, and the cyclic voltammetry scan is started, and the relationship curve between the working electrode potential and the current is recorded, and the CV curve data is collected, and the electrochemical activity of the electrolyte is evaluated by analyzing the oxidation peak and the reduction peak; The AC impedance spectroscopy unit and the cyclic voltammetry unit share the same electrolyte. The frequency range and amplitude of the AC signal are set using an impedance meter. The AC signal is applied, the impedance response of the electrolyte at different frequencies is recorded, EIS data is collected, Nyquist and Bode plots are drawn, and the electrochemical impedance characteristics of the electrolyte are analyzed through an equivalent circuit model. Connect the lithium-ion battery to be tested to the battery test fixture, connect the battery test fixture to the charge and discharge tester, set parameters such as charging current, discharge current, cut-off voltage and capacity, start the charge and discharge cycle test, record the charge and discharge curve of each cycle, collect charge and discharge data in real time, and analyze the battery's capacity retention rate, coulomb efficiency and cycle stability; The cyclic voltammetry, AC impedance spectroscopy and charge-discharge tests are integrated into the same test module to improve test efficiency and data consistency. The experimental parameter setting and data acquisition are controlled by software to achieve a high degree of automation of the test process and ensure the accuracy and reliability of electrochemical performance test data. Example 2

[0024] See also Figure 1 and Figure 2 , an embodiment provided by the present invention: a high temperature resistance determination system for lithium ion battery electrolyte, wherein the data acquisition and analysis module is used for real-time acquisition and analysis of test data in the electrochemical performance test module; The data acquisition and analysis module includes: data acquisition system, data analysis software and report generation system; The data acquisition system collects the temperature, pressure and conductivity parameters of the electrolyte simultaneously through a multi-channel data acquisition device, transmits the data to the central control system through a wireless method, and saves long-term test data through the data storage device in the central control system; Data analysis software uses real-time analysis software to process and analyze collected data in real time, generate analysis reports, optimize the data analysis process through machine learning algorithms, and visualize data through a graphical interface; The report generation system allows users to customize the report format and content, and automatically generates test reports based on the analysis results; The data collection and analysis module performs the following steps on the data analysis of the measured data: Data preprocessing: remove outliers, missing values, fill in data gaps, convert data of different dimensions to the same scale, and use wavelet transform to remove data noise; Feature extraction: extract the basic statistical features of time series data, extract the data spectrum features through fast Fourier transform, and extract the data time domain features using wavelet transform; Data visualization: Line graphs show the changing trend of individual parameters over time, heat maps show the correlation and analysis between multiple parameters, and scatter plots show the relationship and distribution between two parameters.

[0025] The machine learning algorithm optimization analysis process in the data acquisition and analysis module is as follows: Utilize LSTM neural network to capture long-term dependencies in time series data, predict performance trends of electrolytes under long-term high temperatures, and improve prediction accuracy by adjusting the number of network layers, nodes, and learning rate. The linear regression algorithm is used to predict the conductivity change of the electrolyte at high temperature. Based on historical data, a linear relationship model between conductivity and temperature is established. Cross-validation and regularization are used to prevent overfitting. Furthermore, the data acquisition system is turned on to ensure the normal operation of each device, and each sensor is calibrated to ensure the accuracy of data acquisition. According to the test requirements, the acquisition parameters (such as sampling frequency, acquisition time, etc.) are set, and the collector is started to collect data from each sensor in real time. The collected data is transmitted to the central control system in real time through the wireless transmission module; Remove outliers and missing values, fill in data gaps, convert data of different dimensions to the same scale for easy comparison, use wavelet transform, Fourier transform and other methods to remove noise from the data, extract basic statistical features of time series data, such as mean, variance, kurtosis, etc., extract the spectral features of the data through fast Fourier transform, extract the time-frequency features of the data through wavelet transform and other methods, select appropriate machine learning algorithms according to data characteristics, use historical data to train models, and continuously optimize parameters to improve prediction accuracy, evaluate the generalization ability and stability of the model through cross-validation and independent validation sets, receive data transmitted by the data acquisition system in real time, use the trained model to predict and analyze real-time data, and visualize data through a graphical interface; Extract analysis results and key data from the data analysis software, organize and classify the extracted data to ensure the integrity and logic of the data, select the appropriate template according to the report type (such as experimental report, analysis report, etc.), and use the report generator to automatically fill the data into the template and generate the report. Example 3

[0026] See also Figure 1 and Figure 2, an embodiment provided by the present invention: a high temperature resistance determination system of lithium ion battery electrolyte, wherein the determination system is designed with a sample preparation module, and the sample preparation module is used to perform pretreatment preparation on the determination sample; The sample preparation module includes: an automatic sampling unit, a pretreatment unit and a sample injection unit; The automatic sampling unit automatically samples from the electrolyte sample container through a robotic arm / fluid delivery system, and the electrolyte sample extracted from the automatic sampling unit is passed through a sample storage device, the sample storage device has a cooling function, and the sample is preliminarily filtered through a microporous filter membrane and a centrifuge to remove impurities; The pretreatment unit preheats the sample by simulating a high temperature environment within a set temperature range through a heating device, stirs the sample with a stirrer, and removes bubbles in the sample through ultrasonic waves using a bubble removal device; The sample injection unit injects the pre-treated sample into the test container using an automatic syringe, ensures the accurate position of the sample in the test container through a sample positioning system, and seals the test container after the sample is injected using a sealing device; Further, the empty sample bottles are placed in the designated position of the sample storage and numbered, the automatic cleaning program of the sampling needle is started to prevent cross contamination, the sampling needle is moved to the designated sample container position by the robotic arm, the control system accurately extracts the electrolyte sample according to the set sampling volume, the sampled sample is injected into the sample bottle, and stored in the refrigeration device; The sampled electrolyte is filtered through a microporous filter membrane to remove impurities, the filtered electrolyte is poured into a stirring device, the stirring speed and temperature are set, and the stirring operation is started. For samples that need to be dissolved, an ultrasonic cleaner is used to dissolve them to ensure that the sample composition is uniform. The pretreated electrolyte sample is transferred to the injection unit and is ready for the next step; Transfer the pretreated sample to the sample slot of the automatic sample injector, set the sample volume, sample injection speed and other parameters through the control software, start the automatic sample injector, accurately inject the sample into the test device or container, monitor the sample injection process in real time through the monitoring system to ensure the accuracy and consistency of the sample injection, and after the sample injection is completed, the automatic sample injector cleans the pipeline and needle to prepare for the next sample injection operation; The combination of the robotic arm and the automatic sampler enables efficient and accurate sample sampling, reduces errors caused by manual operation, integrates multiple pre-treatment functions such as filtration, stirring, and dissolution to ensure the consistency and purity of the samples, realizes full automatic control and real-time monitoring of the sample preparation process, and improves work efficiency and data reliability. Example 4

[0027] See also Figure 1 and Figure 2, an embodiment provided by the present invention: a high temperature resistance determination system for lithium ion battery electrolyte, wherein the determination system is further designed with a high temperature environment control module, and the high temperature environment control module is used to control and adjust the heating process of the high temperature resistance determination; The high temperature environment control module includes: a high temperature furnace, a temperature controller and a cooling system; A high-temperature heater and a thermocouple sensor are installed in the high-temperature furnace. The high-temperature heater heats the sample evenly within the set temperature range, and the thermocouple sensor monitors the sample temperature in real time to provide accurate temperature control feedback. The temperature controller is designed with a PID control system and a safety protection mechanism. The PID control system accurately controls the heating temperature change of the high-temperature heater. The temperature parameters are set and monitored through the temperature setting interface. The thermocouple sensor is connected to the temperature controller through a data signal line. The safety protection mechanism is an over-temperature alarm and automatic power-off function. The cooling system uses circulating water to quickly cool the sample, uses an air cooling system to assist cooling, and improves heat dissipation efficiency through fans and heat exchangers; Furthermore, the initial temperature and heating rate are set, the high temperature furnace is started for preheating, the temperature is gradually increased according to the set temperature curve to reach the required high temperature environment, the set temperature is maintained to ensure that the temperature is evenly distributed and stable, and the temperature is gradually reduced according to the experimental requirements to ensure that the sample is cooled slowly; The temperature controller sets parameters such as temperature, heating rate, constant temperature time, etc. through the human-machine interface. The PID control system uses the PID control algorithm to adjust the power of the heating element in real time according to the set temperature curve to ensure temperature stability. The thermocouple sensor collects temperature data in real time and displays it on the HMI interface for easy monitoring by operators. When the temperature is abnormal, the safety protection mechanism automatically triggers an alarm and takes protective measures (such as power off). When the experiment is over or the temperature needs to be lowered, the system automatically starts the cooling device according to the set temperature curve, the cooling water pump starts, and the cooling water circulates in the cooling pipeline to absorb the heat of the high-temperature furnace. The air cooling system is started as needed to enhance the cooling effect. The temperature changes during the cooling process are monitored in real time to ensure that the cooling rate meets the requirements. After reaching the set temperature, the system automatically stops the cooling device to complete the cooling process. Example 5

[0028] See also Figure 1 and Figure 2 , an embodiment provided by the present invention: a high temperature resistance determination system for lithium ion battery electrolyte, wherein a pressure control module is installed in the test container, and the pressure control module is used to monitor and control the pressure state in the test container in real time; The pressure control module includes: a pressure sensor, a pressure regulator and a pressure protection device, and the pressure sensor is connected to the pressure regulator and the pressure protection device through a data signal line; The pressure sensor monitors the pressure changes inside the sample in real time, collects and records the data of the pressure sensor through the data acquisition system, and calibrates the pressure sensor regularly through the calibration device; The pressure regulator is designed with an automatic pressure regulating valve and a manual regulating device. The automatic pressure regulating valve automatically adjusts the pressure in the sample container according to the feedback of the pressure sensor. The manual regulating device allows manual pressure adjustment. The pressure buffer device prevents instantaneous pressure changes from causing damage to the sample. The pressure protection device is designed with an overpressure protection system, a safety valve and a pressure monitoring display. When the pressure exceeds the set value of the overpressure protection system, the pressure relief device is automatically activated. At the same time, it supports manual / automatic opening of the safety valve to release excess pressure. The pressure monitoring display displays the internal pressure of the sample container in real time; The measuring system is also designed with an environmental control module, which is used to control the stability of the laboratory environment conditions; The environmental control module includes: temperature and humidity control system, air purification system and noise control system; The temperature and humidity control system monitors the temperature and humidity changes in the laboratory in real time through the sensor monitoring system, uses a constant temperature and humidity device to ensure the stability of the temperature and humidity of the laboratory environment, and uses a data recording system to record environmental data; The air purification system uses high-efficiency filters to remove particles and harmful gases in the air in the laboratory to keep the air clean. It uses a negative ion generator to generate negative ions to further purify the air. The air circulation system ensures good air circulation in the laboratory. Sound insulation materials are installed around laboratory walls and equipment to reduce noise interference. The noise control unit monitors the noise level in the laboratory in real time through the noise monitoring system and further reduces the noise through noise reduction equipment; Furthermore, the pressure sensor is calibrated before starting the measurement system to ensure measurement accuracy. The pressure sensor measures the internal pressure of the measurement system in real time and transmits the data to the data acquisition system. The pressure monitoring display displays the internal pressure of the sample container in real time. The signal conditioning module in the pressure sensor processes the pressure signal, filters the noise and amplifies the signal. The system monitors the internal pressure in real time and triggers the pressure protection device when the pressure exceeds the set upper limit. When overpressure occurs, the sound and light alarm sounds an alarm to remind the operator and start the emergency pressure relief device to quickly release the excessive pressure and restore the system to a safe state. After the pressure returns to normal, the protection device is reset to ensure that it can respond in time when the pressure is abnormal next time. The target temperature and humidity values ​​for laboratory measurement are set through the control panel. The temperature and humidity sensors monitor the ambient temperature and humidity data in real time. The system automatically adjusts the heater, refrigerator, humidifier and dehumidifier according to the sensor data to maintain the set environmental conditions. The closed-loop control system is adjusted according to the real-time data to ensure the stability of the ambient temperature and humidity. The ambient air passes through primary, high-efficiency and activated carbon filters to remove particulate matter and harmful gases. The filtered air passes through ultraviolet germicidal lamps to eliminate residual bacteria and viruses. The purified air is evenly distributed in the laboratory through the air circulation system to maintain a clean air environment. The noise monitoring system monitors the noise level in the laboratory in real time and records the data. Based on the monitoring data, the position and status of the silencer and sound-absorbing barrier are automatically or manually adjusted to ensure that the noise is controlled within the set range. Through real-time data feedback, the noise control plan is optimized to improve the quiet environment of the laboratory. By controlling the temperature, humidity, pressure and environmental conditions in the laboratory, the experimental environment is made stable, clean and quiet, eliminating the interference of external factors on experimental measurements, and improving the reliability of the experimental process and the accuracy of the data.

[0029] The electrochemical performance test analysis report chart is as follows:

[0030] Working principle: First, the sample preparation module automatically takes samples, pre-treats and injects samples to ensure the purity and consistency of the electrolyte samples. Next, the high-temperature environment control module uses a high-temperature furnace and a temperature controller to create a stable high-temperature environment. The pressure control module monitors and adjusts the internal pressure of the system in real time to ensure the stability of the test conditions. Under high temperature conditions, the electrochemical performance test module performs cyclic voltammetry, AC impedance spectroscopy and charge and discharge tests to comprehensively evaluate the electrochemical properties of the electrolyte. The data acquisition and analysis module collects test data in real time through high-precision sensors and data recorders, and uses advanced data analysis software and machine learning algorithms for optimization and analysis to generate detailed test reports; After the test is completed, the test report generated by the data acquisition and analysis module includes the electrochemical performance indicators of the electrolyte in a high temperature environment, such as conductivity, ion migration number, cycle stability, etc. These data are optimized and analyzed through machine learning algorithms to identify the key factors affecting the high temperature resistance of the electrolyte and provide optimization suggestions. Through a comprehensive analysis of the test results, the system can accurately evaluate the stability and performance of the electrolyte in a high temperature environment, providing a scientific basis for the research and development and optimization of battery materials. The automation and high-precision design of the system not only improves the test efficiency and accuracy, but also provides reliable technical support for in-depth research on the high temperature resistance of the electrolyte.

[0031] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. A high temperature resistance determination system for lithium ion battery electrolyte, comprising a central control system, a data acquisition and analysis module and an electrochemical performance test module, characterized in that: The central control system is connected to a data acquisition and analysis module and an electrochemical performance test module through a laboratory local area network. The data acquisition module is connected to the electrochemical performance test module through a data line. The electrochemical performance test module is used to detect changes in the electrochemical properties of the battery electrolyte. The electrochemical performance test module includes: a cyclic voltammetry unit, an AC impedance spectrum unit and a charge and discharge test unit; The cyclic voltammetry unit uses a current scanning system to measure the electrochemical properties of the electrolyte using a scanning current, uses a potential control system to accurately control and measure potential changes, and uses a data recorder to record the cyclic voltammetry curve; The AC impedance spectroscopy unit uses an impedance meter to measure the AC impedance of the electrolyte, analyzes the ion conductivity, uses a frequency scanning module to perform impedance testing at different frequencies to obtain a detailed impedance spectrum, and uses data processing software to process and analyze impedance data to generate a result chart; The charge and discharge test unit uses a constant current source to provide a stable charge and discharge current to simulate the actual working conditions of the battery, uses a power meter to accurately measure the charge and discharge capacity, evaluates the performance of the electrolyte, and uses a cycle test system to perform charge and discharge cycles to evaluate the stability of the electrolyte; The measuring system is also designed with a high temperature environment control module, which is used to control and adjust the heating process of the high temperature resistance measurement; The high temperature environment control module includes: a high temperature furnace, a temperature controller and a cooling system; A high-temperature heater and a thermocouple sensor are installed in the high-temperature furnace. The high-temperature heater heats the sample evenly within the set temperature range, and the thermocouple sensor monitors the sample temperature in real time to provide accurate temperature control feedback. The temperature controller is designed with a PID control system and a safety protection mechanism. The PID control system accurately controls the heating temperature change of the high-temperature heater. The temperature parameters are set and monitored through the temperature setting interface. The thermocouple sensor is connected to the temperature controller through a data signal line. The safety protection mechanism is an over-temperature alarm and automatic power-off function. The cooling system uses circulating water to quickly cool the sample, uses an air cooling system to assist cooling, and improves heat dissipation efficiency through fans and heat exchangers.

2. A high temperature resistance determination system for lithium ion battery electrolyte according to claim 1, characterized in that: The data acquisition and analysis module is used to collect and analyze the test data in the electrochemical performance test module in real time; The data acquisition and analysis module includes: data acquisition system, data analysis software and report generation system; The data acquisition system collects the temperature, pressure and conductivity parameters of the electrolyte simultaneously through a multi-channel data acquisition device, transmits the data to the central control system through a wireless method, and saves long-term test data through the data storage device in the central control system; Data analysis software uses real-time analysis software to process and analyze collected data in real time, generate analysis reports, optimize the data analysis process through machine learning algorithms, and visualize data through a graphical interface; The report generation system allows users to customize the report format and content, and automatically generates test reports based on the analysis results.

3. The high temperature resistance determination system of a lithium ion battery electrolyte according to claim 1, characterized in that: The measurement system is designed with a sample preparation module, which is used to pre-process the measurement sample; The sample preparation module includes: an automatic sampling unit, a pretreatment unit and a sample injection unit; The automatic sampling unit automatically samples from the electrolyte sample container through a robotic arm / fluid delivery system, extracts the electrolyte sample from the automatic sampling unit through a sample storage device, and the sample storage device has a cooling function, and performs preliminary filtration of the sample through a microporous filter membrane and a centrifuge to remove impurities; The pretreatment unit preheats the sample by simulating a high temperature environment within a set temperature range through a heating device, stirs the sample with a stirrer, and removes bubbles in the sample through ultrasonic waves using a bubble removal device; The sample injection unit injects the pretreated sample into the test container using an automatic syringe, ensures the accurate position of the sample in the test container through a sample positioning system, and seals the test container after sample injection using a sealing device.

4. A high temperature resistance determination system for lithium ion battery electrolyte according to claim 3, characterized in that: A pressure control module is installed in the test container, and the pressure control module is used to monitor and control the pressure state in the test container in real time; The pressure control module includes: a pressure sensor, a pressure regulator and a pressure protection device, and the pressure sensor is connected to the pressure regulator and the pressure protection device through a data signal line; The pressure sensor monitors the pressure changes inside the sample in real time, collects and records the data of the pressure sensor through the data acquisition system, and calibrates the pressure sensor regularly through the calibration device; The pressure regulator is designed with an automatic pressure regulating valve and a manual regulating device. The automatic pressure regulating valve automatically adjusts the pressure in the sample container according to the feedback of the pressure sensor. The manual regulating device allows manual pressure adjustment. The pressure buffer device prevents damage to the sample caused by instantaneous pressure changes. The pressure protection device is designed with an overpressure protection system, a safety valve and a pressure monitoring display. When the pressure exceeds the set value of the overpressure protection system, the pressure relief device is automatically started. At the same time, it supports manual / automatic opening of the safety valve to release excess pressure. The pressure monitoring display displays the internal pressure of the sample container in real time.

5. The high temperature resistance determination system of a lithium ion battery electrolyte according to claim 1, characterized in that: The measuring system is also designed with an environmental control module, which is used to control the stability of the laboratory environment conditions; The environmental control module includes: temperature and humidity control system, air purification system and noise control system; The temperature and humidity control system monitors the temperature and humidity changes in the laboratory in real time through the sensor monitoring system, uses a constant temperature and humidity device to ensure the stability of the temperature and humidity of the laboratory environment, and uses a data recording system to record environmental data; The air purification system uses high-efficiency filters to remove particles and harmful gases in the air in the laboratory to keep the air clean. It uses a negative ion generator to generate negative ions to further purify the air. The air circulation system ensures good air circulation in the laboratory. Sound insulation materials are installed around laboratory walls and equipment to reduce noise interference. The noise control unit monitors the noise level in the laboratory in real time through the noise monitoring system and further reduces the noise through noise reduction equipment.

6. The high temperature resistance determination system of a lithium ion battery electrolyte according to claim 1, characterized in that: The measuring system is also designed with a safety protection module, which is used to provide safety protection for the measuring process; The safety protection module includes: fire and explosion prevention devices, gas monitoring systems and safety protection equipment; The fire and explosion prevention device includes fireproof isolation panels, explosion suppression systems and fire extinguishers. The fireproof isolation panels prevent fires caused by high temperatures and protect the safety of equipment and operators. The explosion suppression system automatically activates the suppression device when an explosion risk is detected. It is equipped with various types of fire extinguishers to deal with sudden fires. The gas monitoring system includes a toxic gas sensor, an alarm system and a ventilation system. The toxic gas sensor monitors the concentration of toxic gases in the test environment. The alarm system automatically alarms when the toxic gas sensor detects that the concentration of toxic gases exceeds the safe value. After the alarm system is activated, the ventilation system automatically starts to quickly discharge the toxic gas upon receiving the alarm signal. Safety protection equipment includes protective clothing, goggles and emergency escape equipment. Protective clothing provides protection for operators, goggles protect operators' eyes from high temperature and chemical damage, and emergency escape equipment is equipped to ensure that operators can evacuate quickly in dangerous situations.

7. The high temperature resistance determination system of a lithium ion battery electrolyte according to claim 1, characterized in that: The measuring system is also designed with a user interface control module, which is used to remotely monitor and control the measuring process; The user interface control module includes: a central control system, a remote monitoring control unit and a system diagnosis and maintenance unit; The central control system is designed with a touch screen interface, control software and user authority management. The user interface is convenient for operating and monitoring the system. The control software integrates the control functions of all modules for centralized control. The user authority management sets different levels of user authority to ensure system security. The remote monitoring control unit is designed with a network connection module, mobile terminal application and data synchronization function. The network connection module supports remote connection, allowing users to monitor and control the system through the network. The mobile terminal application facilitates users to operate through mobile devices. The data synchronization function synchronizes the central control system data in real time. The system diagnosis and maintenance unit is designed with a self-diagnosis system, maintenance reminder function and spare parts management system. The self-diagnosis system automatically detects system failures and provides solutions. The maintenance provision function automatically reminds users to perform system maintenance based on the measured system usage. The spare parts management system records and manages system spare parts.

8. A high temperature resistance determination system for lithium ion battery electrolyte according to claim 2, characterized in that: The data collection and analysis module performs the following steps on the data analysis of the measured data: Data preprocessing: remove outliers, missing values, fill in data gaps, convert data of different dimensions to the same scale, and use wavelet transform to remove data noise; Feature extraction: extract the basic statistical features of time series data, extract the data spectrum features through fast Fourier transform, and extract the data time domain features using wavelet transform; Data visualization: Line graphs show the changing trend of a parameter over time, heat maps show the correlation and analysis between multiple parameters, and scatter plots show the relationship and distribution between two parameters.

9. The high temperature resistance determination system of a lithium ion battery electrolyte according to claim 2, characterized in that: The machine learning algorithm optimization analysis process in the data acquisition and analysis module is as follows: Utilize LSTM neural network to capture long-term dependencies in time series data, predict performance trends of electrolytes under long-term high temperatures, and improve prediction accuracy by adjusting the number of network layers, nodes, and learning rate. The linear regression algorithm is used to predict the conductivity change of the electrolyte at high temperature. Based on historical data, a linear relationship model between conductivity and temperature is established. Cross-validation and regularization are used to prevent overfitting.

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