700 results about "Test battery" patented technology

The invention relates to the field of battery testing, in particular to a battery testing device and method for new energy automobile maintenance, and the testing device comprises a testing table, the upper end of the testing table is fixedly provided with a storage rack, the storage rack is internally provided with a clamping assembly, the two sides of the upper end of the testing table are fixedly provided with lifting cylinders, and the top ends of the lifting cylinders are provided with longitudinal guide rails. A rotating motor is fixedly arranged at the bottom in the mounting pedestal; the output end of the rotating motor is fixedly connected with a rotating seat; a testing bracket is rotatably arranged in the rotating seat; sliding grooves are formed in two ends of the testing bracket; and a test assembly is arranged in the sliding seat. According to the invention, by adjusting the test spacing between the test assemblies, different numbers of battery cells of the to-be-tested battery can be tested independently according to actual test requirements, and the adaptability in the test process is effectively improved.

The invention discloses a battery capacity performance testing method and device and a storage medium, and relates to the technical field of battery capacity performance testing. By constructing a dynamic load model and a multi-load test protocol and combining a high-precision data acquisition and filtering algorithm, adaptive data analysis and a machine learning regression model, the problems of difficulty in balancing precision and efficiency, large data acquisition error, fixed test protocol and the like in the traditional battery test are solved; by dynamically adjusting test parameters and environmental conditions, complex working conditions of the battery in actual use are accurately simulated, meanwhile, dynamic updating and optimization of a test protocol are achieved, the test precision, the data reliability and the test efficiency are remarkably improved, and a comprehensive, efficient and high-adaptability solution is provided for battery performance evaluation and health management.

The present disclosure discloses a battery SOC estimation method and apparatus. The method includes: calling an equivalent circuit model of a to-be-tested battery, and acquiring offline parameters of the to-be-tested battery; calculating alternately a first SOC value of the to-be-tested battery and online parameters of the to-be-tested battery based on the equivalent circuit model and the offline parameters, and selecting the first SOC value, obtained after the calculation is performed for a preset number of times, as an SOC estimation value; and calculating a current SOC value of the to-be-tested battery according to the SOC estimation value. By using an embodiment of the present disclosure, problems of accuracy reduction and an SOC jump, caused by only using the offline parameters to estimate an SOC, are solved, and influence of electric current accuracy and temperature, caused by only using an ampere-hour integration method, is reduced, thereby improving estimation accuracy and stability.

The invention provides a method for predicting the residual life of a decommissioned power battery cell, and the method comprises the steps: carrying out the impedance testing of different frequencies of a to-be-tested battery cell in a decommissioned power battery in a preset testing frequency range, obtaining the impedance response data at different frequencies, and obtaining the impedance spectrum data; utilizing scene conditions corresponding to different steps are obtained, the utilizing scene conditions comprise the temperature range and the charging and discharging multiplying power, and a target step utilizing scene is matched in combination with the step grade to which the current to-be-detected battery cell belongs; performing associated storage on the target step utilization scene and the model, capacity, internal resistance and impedance spectrum data information of the retired battery cell to form a retired battery step utilization scheme; if it is detected that the battery is in an abnormal state, an early warning mechanism is triggered, and corresponding safety protection measures including cutting off a power source and starting a cooling system are taken according to a preset processing strategy.

The invention discloses a battery capacity prediction and state evaluation method and system based on multi-model collaborative learning, and belongs to the technical field of battery management. The method comprises the following steps: constructing a database containing multiple lithium ion battery long-term cycle data, and classifying according to a capacity attenuation trend; cleaning and preprocessing short-term cycle data of the to-be-tested battery; matching the to-be-tested data with the long-term attenuation trend in the database by using a clustering algorithm, and determining an optimal matching trend; distributing weights for the data in the matching trend by adopting a correlation algorithm, and generating initial capacity attenuation prediction; performing sequence correction on the preliminary prediction in combination with meta-learning and a related model, and generating a smooth future attenuation trend conforming to a physical law; and outputting a capacity prediction and health state evaluation result, and evaluating the prediction precision through a root-mean-square error and an average absolute percentage error. The method significantly improves the precision and generalization ability of long-term capacity prediction, and is suitable for various scenes such as electric vehicles, energy storage systems, consumer electronics and the like.

The invention discloses a lithium ion battery health state estimation method and system based on unsupervised transfer learning and electronic equipment, and the method comprises the following steps: selecting two different types of batteries, and determining a source domain battery and a target domain battery; obtaining a loop test data set, and further obtaining a sample set and a label set; performing data processing on the sample set and the label set to obtain a training verification data set; using the training verification data set to train a domain adversarial neural network model; inputting cycle test data of the battery to be tested into the domain adversarial neural network to obtain an estimation result; according to the method, the cycle test data and the calibration test data of the existing active domain battery and a small amount of cycle test data of the target domain battery without calibration test are utilized, a redundant target domain battery cycle test process is omitted, and accurate estimation of the health state of the target domain battery is realized.

The utility model discloses an electric bicycle battery testing device. The electric bicycle battery testing device comprises a charging module, a discharging module, a charging switch module, a discharging switch module, an acquisition module, a control module and an analysis module. The charging module and the discharging module are connected with a to-be-tested battery. The charging switch module is connected between the charging module and the power supply; the discharge switch module is connected between the discharge module and the control module; the control module is connected with the charging switch module, the control module is also connected with the discharging switch module, the acquisition module is arranged in a battery to be tested, and the control module is connected with the acquisition module; the acquisition module is used for acquiring test parameters of a to-be-tested battery; the control module charges or discharges the to-be-tested battery according to the test parameters; and the analysis module is connected with the acquisition module and determines a test result of the to-be-tested battery according to the test parameters. The electric bicycle battery testing device provided by the embodiment of the utility model is beneficial to improving the testing efficiency and accuracy.

Systems and methods are provided for testing and / or validating anti-propagation systems designed to mitigate a thermal runaway condition in lithium-ion batteries. A system comprises a first temperature sensor for detecting a temperature of a trigger battery cell within the battery module and a heater removably couplable to a substantially central portion of the trigger cell and configured to heat the trigger cell to a threshold temperature. The system further comprises a second temperature sensor for detecting a temperature of a test battery cell adjacent to the trigger cell within the battery module. The trigger cell undergoes a thermal runaway condition upon reaching the threshold temperature. The system may further comprise a controller for controlling the rate of heating of the trigger cell. The system ensures that the trigger cell will breach via the pressure release valve or cell vent after reaching the threshold temperature.

The invention provides a zero-carbon battery charging and discharging test system and method. The system comprises a plurality of energy storage energy modules, a plurality of energy allocation modules connected with the plurality of energy storage energy modules, a plurality of non-isolated high-efficiency charging and discharging machines, a plurality of test side intelligent switches connected with the plurality of non-isolated high-efficiency charging and discharging machines, and a plurality of tested batteries connected with the plurality of non-isolated high-efficiency charging and discharging machines. The first controller is used for collecting state information of the plurality of energy storage energy modules and controlling working states of the plurality of energy allocation modules so as to adjust electric energy exchange between the plurality of energy storage energy modules and the direct current bus; the DC bus is connected with the plurality of energy allocation modules and the plurality of test side intelligent switches, and is used for establishing an electric energy transmission path between the plurality of energy storage energy modules and the plurality of tested batteries. And the second controller is connected with the plurality of test-side intelligent switches and is used for controlling on and off of the plurality of test-side intelligent switches so as to realize charging and discharging tests of the plurality of tested batteries.

The invention provides a Bluetooth equipment battery endurance test method, which is characterized in that a Bluetooth signal is sent and / or received through a Bluetooth adapter, a voltage value of a battery is acquired through a power supply monitoring module, and the method comprises the following steps: when a user tests Bluetooth equipment, the Bluetooth signal and the voltage value of the Bluetooth equipment are acquired; determining the device type of the Bluetooth device according to the Bluetooth signal, and determining an operation instruction through the Bluetooth device type; performing power consumption operation on the Bluetooth equipment according to the operation instruction; and determining the endurance of the battery of the Bluetooth equipment according to the Bluetooth signal and the change of the voltage value. The Bluetooth signal and the voltage value are acquired at the same time, so that the cruising ability of the Bluetooth equipment is measured, a real use scene is simulated, the Bluetooth equipment is fully automatically tested, manual operation is not needed in the process, and the test is efficient and accurate.

The utility model discloses a needling mechanism and a battery thermal runaway testing device. The needling mechanism comprises a needle body, a heating piece and a first temperature sensor. The needle body is used for puncturing a to-be-tested battery; the heating piece and the needle body transfer heat; the first temperature sensor is used for acquiring the temperature in the to-be-measured battery. The acupuncture test is carried out under the high-temperature condition, and in order to track the temperature change in the battery in real time, the first temperature sensor is arranged in the embodiment, so that the temperature in the battery to be tested is obtained in real time. In this way, the internal temperature change of the to-be-measured battery at different pricking needle positions can be obtained. The needle body punctures at different temperatures, and the internal temperature of the to-be-tested battery is changed; the performance of the to-be-tested battery under extreme conditions can be obtained to the maximum extent through the needle body in different needling directions, the internal temperature change of the to-be-tested battery and the like, and higher safety and reliability of the battery in practical application are further ensured.

The present disclosure teaches a solid-state battery testing device that provides uniform pressure over the test cell and provide a hermetic seal to protect the cell. The solid-state battery testing device includes a cell module, a pressure control module, and an environment control module. The pressure control module utilizes a single lead screw and the cell module contains a swivel-type plunger assembly to apply uniform pressure to a solid-state battery contained within the cell module. The environment control module utilizes all inorganic components to provide a low leak-rate and cost-effective sealing solution.

The invention provides a passenger car battery low-temperature heating test system, method, device and equipment and a medium, and the system comprises a passenger car battery low-temperature heating test system which is composed of a whole car domain controller, a control assembly and a BMS battery management subsystem, and the method comprises the steps: carrying out the whole car power-on of a target passenger car according to a passenger car test request for the low-temperature rapid heating of a battery; the battery temperature and the vehicle running state of the target passenger car are obtained, the battery temperature is judged based on the temperature interval, and at least one judgment node of heating needing and heating not needing is obtained; when the judgment result is that heating is needed, determining a heating gear and a target temperature according to the temperature interval of the battery temperature; and heating the target battery to the target temperature according to the heating gear. The device has the beneficial effects that the power battery of the vehicle can be rapidly heated in an extremely low temperature environment, and the self-heating test of the test battery is realized.

The invention discloses a battery pack test method, a storage medium and electronic equipment, and relates to the field of batteries. The method comprises the following steps: carrying out a charge-discharge test on a to-be-tested battery pack, and obtaining long-cycle test data of the to-be-tested battery pack; performing test condition analysis on the long-cycle test data to check whether the to-be-tested battery pack has an abnormal point, and outputting an abnormal point check result; and inputting the long-loop test data into a preset algorithm program under the condition that the abnormal point checking result is passed, and obtaining a test performance report of the to-be-tested battery pack according to the preset algorithm program. According to the invention, the problem of low long-cycle test efficiency of the battery pack in the prior art is solved.

The embodiment of the invention provides a thermal diffusion testing method, testing equipment and a computer readable storage medium. The method comprises the following steps: triggering a first battery monomer in a test battery to generate thermal runaway, the electric quantity of the test battery meeting a first preset condition, and the temperature of the test battery meeting a second preset condition; acquiring battery parameter information of a second battery monomer in the test battery, wherein the second battery monomer and the first battery monomer meet a first position relationship; and according to the battery parameter information of the second battery cell, determining whether thermal diffusion occurs in the test battery. According to the method, the test equipment and the computer readable storage medium provided by the embodiment of the invention, the reliability and the accuracy of the thermal diffusion test are improved.

The invention discloses a battery SOC estimation method, device and equipment, a storage medium and a product. Acquiring real-time operation parameters of the to-be-tested battery; on the basis of the real-time operation parameters, corresponding initial SOC values are obtained through calculation by using at least two different battery state of charge SOC estimation algorithms; determining the adaptive weight of each SOC estimation algorithm based on the current working condition of the to-be-tested battery and the real-time estimation error of each SOC estimation algorithm; and determining a target SOC value based on the initial SOC values and the adaptive weights of the SOC estimation algorithms corresponding to the initial SOC values. The initial SOC value is calculated by combining at least two different SOC estimation algorithms, then the adaptive weight is determined according to the current working condition of the battery and the real-time estimation error of each algorithm, and finally the weighted initial SOC values are fused to obtain the target SOC value. And through a self-adaptive fusion mechanism, the SOC estimation precision is effectively improved, and the adaptability to different working conditions and the anti-interference capability are enhanced.

The invention discloses a method for researching an external short-circuit current impact damage mechanism of a lithium ion battery, and the method comprises the steps: testing the limit short-circuit current of the battery through a fitting mode, and determining the time upper limit of short-circuit current impact through an uncontrolled time short-circuit experiment; millisecond-level short-circuit current impact tests of different time scales are carried out on the battery, and performance tests are carried out on the battery every N times of impact so as to monitor recession characteristics of parameters such as capacity and internal resistance of the battery; performing prediction and quantitative calculation on damage mechanisms such as positive and negative electrode active material loss and lithium ion loss by combining a capacity increment curve and an open-circuit voltage curve; and disassembling the battery in an inert gas atmosphere, carrying out microstructure, morphology and element distribution characterization on the electrode and the diaphragm, and verifying a damage mechanism. According to the method, electrochemical testing and material characterization are combined, the corresponding relation and evolution law of battery performance degradation and internal material damage under external short-circuit current impact are disclosed, and a basis is provided for safety design and reliability evaluation of a battery system.

The embodiment of the invention provides a battery open-circuit voltage correction method and device, a vehicle, a medium and a product. The method comprises the following steps: when the standing time of a to-be-tested battery represents that the to-be-tested battery does not enter a steady-state response, determining the polarization voltage of the to-be-tested battery in the standing time according to the polarization attenuation degree of the to-be-tested battery; the polarization attenuation degree of the to-be-detected battery is determined according to the standing time and the polarization time constant of the to-be-detected battery; and according to the polarization voltage of the to-be-measured battery in the standing time, correcting the open-circuit voltage of the to-be-measured battery obtained in the standing time to obtain the corrected open-circuit voltage of the to-be-measured battery. The method is used for achieving the effect of improving the measurement accuracy of the OCV.

The invention provides a battery state prediction method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining the current state data of a to-be-detected battery, the state data at least comprising the following characteristics: terminal voltage, terminal discharge current and temperature; inputting the current state data into a pre-trained LSTM (Long Short Term Memory) and Transformer-based battery state prediction model to obtain the battery state of the to-be-tested battery predicted by the battery state prediction model; the battery state comprises at least one of a state of charge and a state of health; the battery state prediction model comprises a preprocessing layer, an LSTM layer, a Transform layer, a feature fusion layer and an output layer which are connected in sequence. Therefore, the state of charge and / or the state of health of the battery can be predicted, the prediction precision is high, the calculation efficiency is improved, and the calculation burden is reduced.

Provided are a method for battery derating protection, an electronic device, and a storage medium. In the method, application stages of a to-be-tested battery are correspondingly adjusted based on decline of a state of health of the to-be-tested battery; when the to-be-tested battery is in a beginning of life stage or a middle of life stage, a state-of-charge usage interval of the to-be-tested battery is set to an initial usage interval; when the to-be-tested battery transitions from the middle of life stage to an end of life stage, the state-of-charge usage interval is narrowed to a limited usage interval; when the to-be-tested battery transitions from the safety of life stage to the hazard of life stage, the to-be-tested battery is forcibly discharged to the lower limit of the limited usage interval; after completing forced discharge, the state-of-charge usage interval of the to-be-tested battery is set to a single value.

The invention discloses a method for testing the peak current of a power battery. The method comprises the following steps: S1, determining the actual capacity of a to-be-tested battery; s2, determining test conditions of the to-be-tested battery; s3, testing peak current; under the test condition, based on a plurality of preset reference current values, carrying out peak current test with the maximum value of the target pulse duration to obtain a plurality of actually measured pulse currents, sampling and recording a pulse whole-process voltage value, and intercepting to obtain an actually measured cut-off voltage corresponding to each pulse duration node; s4, calculating theoretical peak current; outputting measured data obtained by performing peak current testing on the same pulse time length node under different reference current values as a group of theoretical data, and calculating theoretical peak current under each pulse time length node based on the theoretical data of each pulse time length node; the actually measured data comprises actually measured cut-off voltage and actually measured pulse current; and S5, performing pulse actual measurement verification on the theoretical peak current.

The invention provides a battery life prediction method, apparatus and device, and a medium, and relates to the technical field of batteries, the method comprises the following steps: obtaining a first historical data set and a second historical data set of a to-be-detected battery within a preset historical time; obtaining a storage capacity loss model, determining to-be-tested parameters of the storage capacity loss model based on the first historical data set, and obtaining a target storage capacity loss model; obtaining a cycle capacity loss model, determining to-be-measured parameters of the cycle capacity loss model based on the second historical data set, and obtaining a target cycle capacity loss model; determining an actual capacity loss model according to the target storage capacity loss model and the target cyclic capacity loss model; determining an actual capacity loss curve according to the actual capacity loss model; and determining the actual battery life of the to-be-tested battery according to the actual capacity loss curve. The prediction accuracy of the battery life is improved.

A lithium ion battery thermal runaway test device provided by the utility model comprises a test board, a lifting mechanism, a puncturing mechanism and a battery fixing mechanism, a discharge groove is concavely arranged on the surface of the test board, a sodium chloride solution is stored in the discharge groove, the battery fixing mechanism comprises two groups of fixing clamps and a moving assembly, and the moving assembly is arranged on the surface of the test board. The left and right parts are symmetrically arranged on the testboard; a to-be-tested battery is placed between the fixing clamps, the moving assembly drives the two fixing clamps to move oppositely to fix the lithium battery, the lifting mechanism drives the puncturing mechanism to descend to perform puncturing test on the to-be-tested battery, and after the test is finished, the moving assembly drives the two fixing clamps to move oppositely to fix the to-be-tested battery. The tested lithium battery falls into the discharge tank and is discharged by the sodium chloride solution in the discharge tank, so that the energy level in the battery is reduced, and the risk of thermal runaway, fire or explosion caused by short circuit after the battery is punctured is reduced.

The invention discloses a lithium ion battery capacitance detection method, which comprises the following steps: constructing a first training model containing association of charging and discharging data and ultrasonic characteristics based on a calibrated battery, and accurately utilizing ultrasonic feedback information to analyze internal characteristics of the battery; when a tested battery is analyzed, a spatial distribution and energy propagation characteristic correlation model is obtained by means of the model, and the change conditions of an internal structure and a propagation path can be rapidly judged, such as abnormities of electrode material falling, diaphragm damage and the like; and meanwhile, the internal first capacity is flexibly determined by integrating the ultrasonic characteristic contribution and the second capacitance data, so that the actual charge-discharge performance of the battery is considered, the potential of the ultrasonic characteristics for capacity evaluation is deeply excavated, and the accuracy and reliability of the internal state evaluation of the battery are effectively improved.

The invention belongs to the technical field of battery testing, and provides a battery thermal runaway characteristic comprehensive test system. Comprising an explosion-proof heat insulation box body (1), a temperature control module (2), a humidity adjusting module (3), an air pressure simulation module (4), a needling / extruding test module (5), an overcharge / discharge test module (6), a vibration test module (7), a gas collection and analysis module (8), a comprehensive control and monitoring module (9) and a safety protection module (10). The explosion-proof heat insulation box body (1) is used for placing a battery to be tested; and the gas collection and analysis module (8) is used for continuously collecting and analyzing gas samples in the anti-explosion heat insulation box body (1). According to the technical scheme, thermal runaway conditions of the battery under various working conditions of different temperatures, humidity, air pressure, mechanical abuse, electric abuse and the like can be comprehensively simulated, and compared with a traditional testing system with a single function, the comprehensiveness of thermal runaway testing of the battery is greatly improved.

The invention relates to a high-applicability simulation test device for the temperature uniformity of an energy storage battery pack. The high-applicability simulation test device comprises a plurality of simulation test unit assemblies, a cooling module and an auxiliary material, the simulation test unit assemblies are connected with the cooling module through auxiliary materials, the simulation test unit assemblies are used for simulating the heating and heat dissipation states of battery cells in the to-be-tested battery pack in the charging process, and the simulation test unit assemblies are arranged according to the arrangement mode of the battery cells in the to-be-tested battery pack; the simulation test unit assembly comprises a test main body, a plurality of heating modules, a temperature measurement module and a power supply; the testing main body is installed on the cooling module, one end of the heating module is installed above the testing main body, and the other end of the heating module is connected with the power supply. According to the technical scheme provided by the embodiment of the invention, the aluminum block is used for replacing the battery cell, the construction period can be shortened and the cost can be reduced on the premise of not influencing the test, meanwhile, the heating and heat dissipation conditions of different battery packs can be simulated, and the method is suitable for the temperature uniformity test of various energy storage battery packs.

A positive electrode active material that enables an increased discharge capacity retention rate of cycling performance is provided. A secondary battery includes a positive electrode pressed under a linear pressure higher than or equal to 100 kN / m and lower than or equal to 3000 kN / m and a negative electrode. When a test battery that includes the positive electrode and a negative electrode containing lithium undergoes, in an environment at higher than or equal to 25° C. and lower than or equal to 45° C., a cycling test of 50 repetitions of a cycle of charging and discharging in which, after constant current charging is performed at a charge rate of 0.5 C (1 C=200 mA / g) until a voltage of 4.7 V is reached, constant voltage charging is performed until the charge rate reaches 0.05 C at a voltage of 4.7 V, and then constant current discharging is performed at a discharge rate of 0.5 C until a voltage of 2.5 V is reached, and the discharge capacity of the battery is measured in each cycle, a discharge capacity value measured in the 50th cycle is greater than or equal to 35% and less than 100% of the maximum discharge capacity value in all the 50 cycles.

The utility model belongs to the technical field of switching power supplies, and relates to a single-chip microcomputer control-based battery internal resistance detection circuit, which is characterized in that a single-chip microcomputer I / O1 port and a single-chip microcomputer I / O2 port respectively give high-level control signals in an extremely short time to control the discharge of a battery, when a power supply starts a battery internal resistance detection function, firstly, the I / O1 is made to be at a high level, Q13 is conducted, PC1A is conducted, and the Q13 is turned on; the secondary side PC1B of the optocoupler is conducted, the Q12 is driven, the battery is subjected to large-current discharging through the R61 and the Q12, the voltage at the two ends of the battery is tested to be U1, I / O1 and I / O2 are conducted at the same time after millisecond-level discharging is conducted, the R61 and R65 start parallel discharging at the moment, the voltage U2 at the two ends of the battery can be obtained, and the voltage U2 of the two ends of the battery can be obtained through the voltage difference value and the current difference value of two times of measurement. According to the utility model, the internal resistance of the battery can be easily calculated according to the Ohm law, and the problems that the internal resistance test of various batteries is inaccurate on the premise of different discharge curves, and the internal resistance test precision of the battery is influenced by the height of discharge platforms of different batteries due to the increase of the internal resistance of the battery can be solved.

The invention discloses a battery consistency evaluation method, which comprises the following steps of S1, correspondingly extracting a plurality of batteries from different batches of batteries, dividing the batteries into groups according to the corresponding batches, and carrying out battery capacity grading; s2, extracting part of the batteries after capacity grading, and carrying out instant pressure intensity test to obtain pressure intensity P1; s3, part of batteries are extracted from the remaining batteries of the corresponding groups for high-temperature circulation, part of batteries are selected from the batteries subjected to high-temperature circulation for gas production pressure testing, and the testing numerical value is P2; s4, in the step S3, the remaining batteries subjected to high-temperature circulation treatment in the corresponding groups are selected to be subjected to gas production rate testing, the gas production rate is V2, and then a preset value P0 meeting circulation consistency is set; and S5, if P2 is greater than or equal to a preset value P0, judging that the batch of batteries meet the cyclic consistency requirement. According to the battery consistency evaluation method provided by the invention, the relationship model between the generated gas pressure and the battery consistency is established by testing the change of the internal pressure of the battery in a certain state.

The invention relates to a battery self-discharge test system and method, and the system comprises a heat insulation device which comprises a heat insulation cavity and a temperature sensor, and a to-be-tested battery cell and the temperature sensor are disposed in the heat insulation cavity; the self-discharge tester comprises a processor, a voltage reference source, an ADC unit, a DAC unit, a switch 1 and a switch 2, the voltage reference source is connected with the ADC unit and the DAC unit; the processor is connected with the control ends of the switch 1 and the switch 2 and is used for controlling switching of the switch 1 and the switch 2; the processor is connected with the input end of the DAC unit, the output end of the DAC unit is connected with the first end of the switch 1 and the first end of the switch 2 after passing through the voltage buffer, and the current detection end of the voltage buffer is connected with the current sampling end of the ADC unit; the second end of the switch 1 is connected with a to-be-tested cell, the second end of the switch 2 is connected with the to-be-tested cell, and the third end of the switch 2 is connected with the voltage input end of the ADC; the temperature sensor is connected with the processor and used for collecting the temperature in the heat insulation cavity. And the upper computer is connected with the processor.