517 results about "Test battery" patented technology

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.

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 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 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.

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.

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 relates to the technical field of battery replacement compatibility testing, in particular to a battery replacement compatibility testing method and system oriented to a battery replacement battery system. The method comprises the following steps: carrying out multiple staggered releasing / locking cycles on a to-be-tested battery replacement battery system on a simulated vehicle; if the structure and the function of the battery replacement battery system are normal, the battery replacement battery system is installed on a real vehicle, and the real vehicle runs on a test site; and according to whether the communication between the battery replacement battery system and the real vehicle is normal, whether the battery replacement cooling interface leaks the cooling liquid, whether the battery replacement battery system is in an effective locking state, whether the battery replacement electrical interface is normal, and whether the battery frame is normal, performing a vehicle end cooperative function test on the battery replacement battery system. Through a simulation vehicle, a real vehicle, a battery swap station simulation system and a vehicle end simulation system, the compatibility of the battery swap battery system with the vehicle end and the battery swap station is tested from the aspects of size, structure, function, passing and the like.

The invention discloses a battery pack structural strength simulation test method, and relates to the technical field of data analysis, and the method comprises the steps: obtaining multilayer construction parameters of a test battery pack, building a multi-scale geometric simulation model of the battery pack, and generating multi-scale structural simulation parameters of the test battery pack; based on the multi-scale structure simulation parameters of the test battery pack, cross-scale constitutive correlation analysis of the test battery pack is carried out, and equivalent material parameter vectors of the test battery pack are evaluated; performing time-frequency domain load verification based on the equivalent material parameter vector of the test battery pack, establishing a time domain-frequency domain load coupling equation, and generating composite load distribution of the test battery pack; and according to the composite load distribution of the test battery pack, establishing a fatigue progressive failure fitting model of the test battery pack, and generating an intensity damage trend state of the test battery pack. The method has the advantages that the problems of scale splitting and load simplification in an existing method are solved, and the simulation test precision of the structural strength of the battery pack is improved.

The invention provides a battery automatic test system and method, the system comprises a power supply management module, a test module and an instruction processing module, the power supply management module is arranged between a battery device and an external power supply, and is used for providing a stable power supply for the system and adjusting a battery load state; the test module is in communication connection with the battery equipment, and is used for testing the communication performance of the battery in a wired or wireless communication environment, and verifying the interface function and connection stability between each module in the system and the battery equipment; and the instruction processing module is respectively in communication connection with the upper computer, the power supply management module and the test module, and is used for receiving a test instruction input by the upper computer and controlling each module to realize corresponding functions. The method is based on the system, supports two test modes of single-step execution and automatic execution, can efficiently and accurately complete the performance test of multiple working conditions and multiple interfaces of the battery, and improves the test efficiency and the intelligent level.

The invention discloses an energy storage battery aging evaluation method and device under an immersed liquid cooling condition, terminal equipment and a storage medium, and belongs to the field of battery testing. The method comprises the steps of obtaining a first active lithium ion loss change rate and a first active substance loss change rate according to a battery voltage and a first battery capacity identification characteristic peak in a to-be-tested battery test, and calculating a battery capacity loss change rate according to a first battery capacity and a second battery capacity before the test; determining a second active lithium ion loss change rate, a second active material loss change rate and a battery impedance change rate based on the electrochemical impedance spectrogram and the pre-test impedance, and determining the battery capacity loss change rate and the battery impedance change rate according to the determined active lithium ion loss, the active material loss, the battery capacity loss change rate and the battery impedance change rate. The resistance, the moisture content and the dielectric loss change rate of the cooling liquid to be measured construct an analytic hierarchy model, the battery aging condition is determined according to the calculated aging evaluation value, and the problem that deviation exists in single evaluation in the prior art is solved.

The utility model provides a connecting assembly and a detection system, and belongs to the technical field of battery detection. The connecting assembly comprises a first connecting module and a second connecting module. The first connection module is electrically connected with the detection equipment, and the second connection module is electrically connected with the to-be-tested battery; the first connecting module comprises a contact sensor and a movable buckle, and the second connecting module is provided with a clamping groove. The contact sensor is used for detecting whether the first connecting module and the second connecting module are inserted in place or not, and after the first connecting module and the second connecting module are inserted in place, the movable buckle is clamped into the clamping groove to lock the first connecting module and the second connecting module. According to the connection assembly, manual operation is not needed, electrical connection between various detection devices and the to-be-tested battery can be achieved, and the detection efficiency of battery products can be improved.

The embodiment of the invention relates to a battery detection method and device based on ultrasonic waves, electronic equipment and a storage medium. The method comprises the steps that an ultrasonic generator is controlled to apply an ultrasonic excitation signal to a first position of a detected battery; receiving an ultrasonic sensing signal collected by an ultrasonic sensor from a second position of the tested battery; performing characteristic measurement on the ultrasonic sensing signal to obtain ultrasonic transmission characteristic data; performing discharge state detection on the detected battery to obtain discharge state data of the detected battery; and determining battery state information corresponding to the ultrasonic transmission characteristic data and the discharge state data based on a preset battery state detection model. According to the embodiment of the invention, real-time nondestructive detection is carried out on the state of the battery by using ultrasonic waves, and the battery state model can accurately reflect the association between the ultrasonic transmission characteristics and the discharge state of the battery, so that the state of the battery can be more accurately deduced. And the ultrasonic sensor can be conveniently integrated in a battery system.

The invention provides a method for determining the pre-tightening force of a battery cell, and the method comprises the following steps: providing a plurality of initial-state battery cells which have the same chemical system as a target battery cell; and circulating the plurality of initial-state battery cells for a preset number of times at a preset charge-discharge rate to obtain a plurality of test battery cells. Different pre-tightening forces are applied to the multiple test battery cells, battery cell impedance data of the multiple test battery cells under the condition that the different pre-tightening forces are applied are obtained, and the pre-tightening forces are applied in the stacking direction of the pole pieces in the test battery cells. And determining the pre-tightening force of the target battery cell based on the battery cell impedance data. According to the method, a battery cell in an initial state is preprocessed to obtain a test battery cell, different pre-tightening forces are applied to the test battery cell, the impedance of the battery cell is obtained, and then an appropriate pre-tightening force range is obtained. The method avoids obtaining proper pre-tightening force by depending on long-term circulation data, remarkably shortens the verification period, reduces the test cost, and is flexible, convenient and reliable.

The utility model relates to the technical field of batteries, in particular to a battery thermal runaway testing system which comprises a shell, a thermal runaway triggering mechanism and a pressure measuring mechanism, the shell is provided with a containing cavity, and the containing cavity is used for containing a to-be-tested battery; the thermal runaway triggering mechanism is arranged in the accommodating cavity and is used for enabling the to-be-tested battery to generate thermal runaway; the pressure measuring mechanism is arranged in the accommodating cavity and is in contact with at least one side of the battery to be measured, the pressure measuring mechanism is provided with a plurality of pressure measuring point positions, and each pressure measuring point position is in contact with the corresponding part of the battery to be measured so as to measure the pressure borne by different parts in the thermal runaway process of the battery to be measured. According to the invention, the pressure borne by different parts of the to-be-measured battery in the thermal runaway process can be measured, and the distribution characteristics of the air pressure in the shell in the thermal runaway process of the battery can be reflected more truly and accurately.

The application provides a self-discharge battery secondary selection method, relates to the technical field of lithium ion batteries, and comprises the following steps: selecting a battery qualified in a constant-temperature full-charge chemical voltage; placing the selected battery under preset conditions; measuring the voltage V1 of the battery; measuring the voltage V2 of the battery after constant-temperature standing; selecting a battery with a voltage exceeding the preselected range of delta V1 as a poor voltage drop battery according to delta V1 = V1-V2; charging the poor voltage drop battery to a preset state of charge after multiple cycle charging and discharging under preset conditions; measuring the voltage V3 of the battery after standing; measuring the voltage V4 of the battery after constant-temperature standing; and selecting a battery in the preselected range of delta V2 as a good product according to delta V2 = V3-V4. Under the premise that the self-discharge settlement standard is tightened, the poor voltage drop battery, especially the battery close to the upper limit of the good product, is selected for secondary self-discharge, so that the selection accuracy of the primary good product battery is ensured, the risk of poor voltage drop in the later stage is reduced, and complaints are reduced.

The utility model discloses a testing device for a cell acupuncture test, and relates to the technical field of battery safety test. The cell acupuncture test device is provided with a test chamber, and further comprises a placement platform, an acupuncture assembly, a first driving mechanism, a second driving mechanism, a scrap container and an information collector, the placing platform is arranged in the test chamber and is used for placing a to-be-tested battery cell; the needling assembly is connected with the first driving mechanism, the needling assembly is installed in the test chamber by directly facing the battery cell on the placing platform, and the first driving mechanism can drive the needling assembly to perform a needling test on the battery cell; the second driving mechanism is used for driving the tested battery cell to move to a scrapping station or a standing station, and the scrapping station is provided with a scrapping container filled with saline water; the information collector is connected with the battery cell and used for collecting the temperature and voltage of the battery cell. According to the utility model, the battery cell without thermal runaway after the acupuncture test can be automatically scrapped, and the safety of the acupuncture test of the battery cell is improved.

Disclosed are a battery cell holding device and a battery cell performance test system including the same. The battery cell holding device is configured to receive a tray loaded with battery cells, unload the battery cells from the tray and hold the battery cells, load tested battery cells into the tray, and transfer out the tested battery cells. The battery cell holding device includes a tray seating unit configured to receive a tray, a loading conveyor configured to load a predefined number of battery cells transferred thereto, a shuttle unit configured to transfer the battery cells introduced thereinto from one position to another position, a first transfer module configured to transfer the battery cells in the tray seated in the tray seating unit to the shuttle unit, and a second transfer module configured to transfer, to the loading conveyor, the battery cells transferred by the shuttle unit.

A battery health state assessment method comprises the following steps: S1, acquiring a charging or discharging IC curve group under a first rate when a calibrated battery has a plurality of different positive electrode active material loss amounts, a plurality of different negative electrode active material loss amounts and a plurality of different detachable ion loss amounts; s2, establishing a first relational expression between the positive electrode active material loss amount, the negative electrode active material loss amount and the deintercalated ion loss amount of the calibrated battery and the corresponding first characteristic values; s3, acquiring an IC curve of the to-be-tested battery under a plurality of different second multiplying powers; s4, extracting a second characteristic value of the IC curve of the battery to be detected, and establishing a second relational expression between the second characteristic value and the multiplying power; s5, the positive electrode active material loss amount LACM, the negative electrode active material loss amount LAAM and the deintercalated ion loss amount LII of the battery to be detected under the first rate are obtained; and according to SOH = 100%-max (LII, LAAM, LACM), obtaining the SOH of the battery to be tested.

An apparatus for testing a bottom protective board of a battery pack includes a base and a testing mechanism.SOLUTION: The base 100 is configured to support the bottom protective plate 300, the base 100 is provided with a measurement groove, a pressure sensor and a plastic deformation member are provided in the measurement groove, the base 100 is provided with a spacer block, and the bottom protective plate 300 and the base 100 are spaced apart by the spacer block to form an impact chamber; The test groove is located in the impact chamber, the test mechanism 200 includes a test stand 210 and an impact component 220, the test stand 210 and the impact component 220 are disposed on one side of the base 100, and the impact component 220 is suspended on the test stand 210 and located right above the base 100.SELECTED DRAWING: Figure 1

A testing apparatus and method for testing a battery, a device, and a medium are disclosed. The testing apparatus includes a first ray source, a first detector, a second ray source, a second detector, a bearing platform, and a testing unit. The bearing platform is configured to place a battery to be tested, and the bearing platform is movable. A movement trajectory of the bearing platform passes between the first ray source and the first detector, and the movement trajectory of the bearing platform passes between the second ray source and the second detector. The testing unit is respectively connected to the first detector and the second detector. The testing unit is configured to perform defect testing on the battery to be tested based on a ray received by the first detector and a ray received by the second detector.

Surface temperatures for battery cells in a battery pack can be inferred or estimated using internal or core temperatures of the battery cell and a thermal model. The internal temperature may be generated using electrochemical impedance spectrometry (EIS). Delta values from the EIS estimations to the cell surface temperature may be generated based on a thermal model of the battery. The thermal model of the battery may be created using probe points on the surface of a test battery, such as thermocouples.

Disclosed in the present disclosure are a charge and discharge capacity correction method and device, a storage medium, and an electronic device. The method comprises: acquiring X*Y sets of test data generated, under Y types of temperature variation parameters, for each battery among X batteries to be tested; determining loss of full discharge and / or loss of full charge corresponding to each set of test data, concatenating the loss of full discharge and / or the loss of full charge as target values with the corresponding first key features to generate a training dataset, and fitting model parameters on the basis of on the training dataset to obtain a nonlinear prediction model; predicting, on the basis of second key features of a target battery and the nonlinear prediction model, target loss of full discharge and / or target loss of full charge corresponding to the target battery under a current state of charge and a current temperature variation condition; and using the target loss of full discharge to correct the initial discharge capacity of the target battery upon a temperature variation and / or using the target loss of full charge to correct the initial charge capacity of the target battery upon the temperature variation.