843 results about "Cell voltage" patented technology

The invention relates to the technical field of electrical variable measurement, in particular to a control system and a control method of a battery measuring instrument. The method comprises the following steps: acquiring single voltage, total voltage, current and internal resistance data of a battery pack to obtain initial electrical parameters; collecting the surface temperature of the battery pack to obtain an initial thermodynamic parameter; performing synchronous time sequence integration on the initial electrical parameters and the initial thermodynamic parameters, and unifying formats to obtain a battery running state monitoring data set; and performing dynamic threshold determination and trend analysis on each parameter based on the battery operation monitoring data set to obtain an abnormal state identification result. By constructing a complete intelligent monitoring system covering data acquisition, processing, abnormity identification, state evaluation, communication packaging and visualization, high-precision real-time monitoring, fault pre-judgment and remote communication of the running state of the battery are realized, and the synchronism, the accuracy and the adaptability of the system and the intelligence and the practicability of field application are remarkably improved.

The invention discloses an energy storage liquid cooling unit control strategy generation method and device based on working condition prediction, equipment and a storage medium, and relates to the technical field of power grids, and the method comprises the steps: building a prediction model based on working condition data of an energy storage system, determining initial prediction power and predicted battery electric quantity based on a preset coefficient and the working condition data, the prediction model is used for correcting the initial prediction power to obtain target prediction power, the predicted heating power of the battery cell is determined based on the equivalent internal resistance of the battery cell and the voltage of the battery cell, the operation parameters of the liquid cooling unit are fitted based on a preset calibration coefficient to obtain the expected refrigerating capacity, and the predicted temperature of the battery cell is determined; adjusting the initial strategy by using the liquid cooling unit control rule and based on the temperature deviation degree and the temperature change rate to obtain a target energy storage liquid cooling unit control strategy so as to control the energy storage liquid cooling unit; the temperature deviation degree and the temperature change rate are data determined based on the preset battery working temperature range and the battery cell predicted temperature, so that the efficiency of generating the energy storage liquid cooling unit control strategy is improved.

The invention discloses a ship power battery health state intelligent assessment method and system based on multi-feature fusion and a dynamic threshold value, and relates to the technical field of ship power battery management. The method comprises the following steps: synchronously acquiring single voltage, current, temperature, internal resistance and insulation resistance signals in real time through a signal acquisition layer; processing through a feature fusion layer to form a fusion feature vector; inputting the CBP-LSTM model to continuously output SOH and SOC estimation values in real time to form an SOH / SOC estimation sequence; calculating adaptive upper and lower threshold boundaries for the sequence based on an RLS algorithm; health levels are divided through comparison of the health deviation and a threshold value, a control instruction is generated and issued to a BMS / EMS system, and closed-loop protection and energy optimization are achieved. According to the method, the defects of insufficient feature dimension, high model rigidity, lack of adaptive ability and system closed loop deficiency in the prior art are overcome, the method has the advantages of high evaluation precision, strong robustness and good real-time performance, and the operation safety of the ship power battery can be effectively guaranteed.

The invention discloses a component gradient iridium tantalum coating anode and a preparation method thereof, the component gradient iridium tantalum coating anode comprises a titanium-based bottom layer, a middle layer and a surface active layer structure with component gradient, and the middle layer and the active layer are both prepared through a thermal decomposition method. And the intermediate layer is prepared on the titanium substrate and is composed of TiO2 / Ta2O5 mixed oxide. The surface active layer is prepared on the outer side of the middle layer and comprises a plurality of layers of IrO2 / Ta2O5 oxide coatings with different iridium-tantalum proportions. Compared with a traditional uniform coating anode, the prepared component gradient iridium tantalum coating anode can relieve the stress concentration phenomenon and reduce coating cracking, the service life of the anode is remarkably prolonged, and the catalytic activity of the anode is remarkably improved; the modified carbon nano tube is added into the active layer precursor solution, so that the conductivity change caused by component gradient is improved, and the cell voltage of the component gradient iridium tantalum coating anode is effectively reduced; and moreover, the iridium content is lower, and the preparation cost of the electrode is reduced.

The invention relates to a voltage monitoring method and device, electronic equipment and a vehicle. The method comprises the following steps: acquiring cell voltages of a plurality of cells in a to-be-monitored target power battery; determining a first battery cell with an abnormal battery cell voltage from the plurality of battery cells according to the battery cell voltages of the plurality of battery cells; correcting the battery cell voltage of the first battery cell to obtain a corrected target battery cell voltage; determining a monitoring result of the target power battery according to the target battery cell voltage and the battery cell voltage of the second battery cell; the second battery cell is other battery cells except the first battery cell in the plurality of battery cells, and the monitoring result represents whether the voltage consistency of the target power battery is abnormal or not.

The invention discloses a low-power-consumption data transmission method for a low-orbit satellite internet-of-things terminal, and relates to the technical field of satellite communication, and the method comprises the steps: calculating an overhead time window through employing a satellite ephemeris and a terminal GNSS coordinate, and introducing atmospheric refraction and movement position correction; determining a wake-up advance containing equipment preheating and error compensation, and waking up the terminal before the window; the battery voltage is collected, and three strategies of band cascade coding, compression and error correction sending and only data abstract sending are divided according to the electric quantity; receiving satellite dynamic energy factors to adjust transmitting power and the number of data packets; and after completion, entering dormancy, and only leaving a low-power-consumption clock to maintain a time sequence. Through accurate awakening, hierarchical transmission, double-clock calibration and self-learning, the terminal endurance is prolonged, the access success rate and the link utilization rate are improved, and power consumption and reliability are balanced.

A battery diagnosis apparatus for diagnosis of a cell group including a plurality of battery cells connected in series, includes a voltage sensing circuit configured to periodically generate a voltage signal indicating a cell voltage of each battery cell, and a control circuit configured to generate time series data indicating a change in cell voltage of each battery cell over time based on the voltage signal. The control circuit is configured to (i) determine a first average cell voltage and a second average cell voltage of each battery cell based on the time series data, wherein the first average cell voltage is a short term moving average, and the second average cell voltage is a long term moving average, and (ii) detect an abnormal voltage of each battery cell based on a difference between the first average cell voltage and the second average cell voltage.

The invention relates to the technical field of fuel cell control, and discloses a control method of a hydrogen fuel system controller, which comprises the following steps: in response to a system shutdown instruction, controlling a DC / DC converter to maintain operation and request a preset scavenging current, and consuming residual reaction gas in a flow channel and a pipeline by using an electrochemical power generation reaction in an electric pile; meanwhile, hydrogen-cut air-down operation is executed, and the average single voltage of the electric pile is collected in real time; when it is monitored that the average monomer voltage is reduced to be below a preset anti-corrosion safety threshold value, the DC / DC converter is controlled to be disconnected, and mechanical purging is started. A time sequence interlocking mechanism of electrochemical energy depletion and mechanical purging is established, a high-potential retention path in the shutdown process is blocked from the physical and chemical source, and the safety of the shutdown is improved. Reverse polarity corrosion caused by a hydrogen-air interface effect is avoided, and the service life of the galvanic pile is prolonged.

The invention relates to the technical field of charging, and particularly discloses a method for dynamically optimizing the full charge capacity of a lithium battery in an unbalanced state. Dynamically adjusting the standing duration according to the average temperature and the cycle index of the current battery pack, standing to eliminate the polarization effect, and obtaining stable open-circuit voltage of each monomer; inquiring a pre-established open-circuit voltage-state-of-charge characteristic table based on the obtained minimum monomer voltage to obtain the state of charge of the minimum-capacity monomer; generating a segmentation correction formula based on a segmentation threshold value and a gain coefficient dynamically determined by utilizing a large number of full charge capacity correction examples; updating the full-charge capacity by adopting a segmented correction formula and the charge state of the minimum-capacity monomer to obtain a full-charge capacity dynamic optimization result; the accuracy of full charge capacity calculation is effectively improved, the real full charge capacity of the lithium battery in an unbalanced state is better reflected, the service life of the battery is prolonged, and the use efficiency of the battery is improved.

The invention is suitable for the technical field of electrical measurement and state monitoring, and provides an aluminum electrolysis cell power distribution system regionalization independent blanking control method based on pseudo resistance monitoring, and the method comprises the steps: collecting the anode current and the cell voltage of each measurement point; dividing the plurality of measurement points into a plurality of control areas, and calculating a pseudo resistance value of each control area; screening control areas meeting conditions from all the control areas to form a reference area set; determining an aluminum oxide concentration reference state of each control region in the reference region set through a preset concentration state mapping relation; with the reference region set as a starting point, according to the proximity relation between the control region with the undetermined state and the reference region set in space and the similarity of pseudo resistance values, the aluminum oxide concentration state is propagated to all the control regions through iterative matching; according to the aluminum oxide concentration states of all the control areas, independent discharging control instructions of all the control areas are generated; and the regionalized independent control on the concentration of aluminum oxide in the aluminum electrolysis cell is realized.

The invention provides a QLC NAND interference compensation control method and system, and the method comprises the steps: collecting adjacent unit voltage offset data of a target storage unit through an on-chip reference unit array integrated on a QLC NAND flash memory chip; performing feature extraction on the data to obtain interference feature parameters including at least one of voltage drift amplitude, drift rate and drift fluctuation frequency, and inputting the interference feature parameters into a pre-trained lightweight decision tree model to output an interference trend prediction result, a programming parameter optimization strategy is generated based on the result, the pulse width and the step voltage increment are optimized, meanwhile, fine adjustment of model parameters is triggered by collecting programming verification data after each time of optimization, dynamic accurate compensation of memory cell interference under the high write-in load of the QLC NAND flash memory is achieved, programming voltage drift is effectively restrained, and the reliability of the QLC NAND flash memory is improved. The adaptive capacity of the writing algorithm is improved, and the overall service life of the flash memory is prolonged.

The invention relates to a preparation method and application of an electrode, in particular to a preparation method and application of an anti-reverse current self-supporting electrode for anion exchange membrane water electrolysis hydrogen production. The self-supporting (NiCoFe) 9S8 electrode is constructed by adopting a directional solid-phase synthesis strategy to overcome the challenge of performance degradation of the electrolytic cell. The preparation method comprises the following steps: firstly, depositing a precursor solution of FeS2 and CoCl2 on a nickel felt substrate, and then carrying out annealing treatment to obtain uniformly grown (NiCoFe) 9S8; the method not only ensures uniform distribution of multiple metal components, but also constructs firm chemical bonding and efficient charge transfer between the catalyst layer and the conductive substrate through solid-phase interface reaction, and effectively avoids interface impedance caused by introduction of an additional binder. Therefore, high-current-density water electrolysis hydrogen production under intermittent fluctuation power supply is realized. In 1M KOH, the cell voltage is almost not attenuated when the electrode stably operates for 2000h at 500mAcm <-2 >.

The invention provides an electrical performance calibration device and method for fusing electrolytic hydrogen production and a hydrogen fuel cell. The electrical performance calibration device comprises an upper computer, a first digital sampling voltmeter, a second digital sampling voltmeter, a synchronous data acquisition card, a synchronous inspection switch, a current converter, a voltage converter, an electric pile, a programmable power supply, a self-calibration module and an external calibration signal source, the synchronous inspection switch is used for detecting a single-cell voltage bus of a galvanic pile and feeding back the single-cell voltage bus to a sampling end of the first digital sampling voltmeter, and a feedback end of the first digital sampling voltmeter is connected with a first input end of the upper computer; the current converter is used for detecting a current loop of the galvanic pile; the voltage converter is used for detecting the total voltage of the electric pile; and the programmable power supply is connected with a power supply terminal of the electric pile. According to the invention, the problems of poor synchronism, lack of self-calibration, low impedance measurement precision and incompatibility of two-way metering during electrical performance calibration of electrolytic hydrogen production and hydrogen fuel cells are solved.

The invention discloses an anode purging method and device of a proton exchange membrane fuel cell system and a medium, and can be applied to the technical field of fuel cells. When the request current is greater than or equal to the idle current, the target average single voltage of the electric pile in the proton exchange membrane fuel cell system is calculated according to the request current, and the lowest actual single voltage, the actual average single voltage of the electric pile and the cathode and anode voltage difference of the electric pile are obtained; determining an anode target purging mode of the proton exchange membrane fuel cell system according to the lowest actual monomer voltage, the actual average monomer voltage of the electric pile, the target average monomer voltage of the electric pile and the anode and cathode voltage difference, and then controlling the anode purging state of the proton exchange membrane fuel cell system according to the anode target purging mode; according to the embodiment of the invention, the target blowing mode of the anode is determined by combining the performance expression data of the fuel cell under the ultralow-frequency blowing condition of the anode, so that the stability and the safety of the proton exchange membrane fuel cell system can be effectively improved.

The invention provides a preparation method of a high-performance titanium anode. The preparation method comprises the following steps: pretreating a titanium substrate; the preparation method comprises the following steps: coating a tantalum-containing solution on a titanium substrate, and carrying out drying, pre-sintering and oxidation treatment to form a Ta2O5 bottom layer; wherein the drying temperature ranges from 80 DEG C to 110 DEG C, and the drying time ranges from 8 min to 12 min; the presintering temperature is 450-550 DEG C, and the presintering time is 8-15 minutes; the oxidation treatment temperature ranges from 600 DEG C to 680 DEG C, and the oxidation treatment time ranges from 1.5 h to 2.5 h; the surface of the Ta2O5 bottom layer is coated with a Pt-Ti alloy solution, then sintering is conducted for 10-20 min at the temperature of 500-550 DEG C, and a middle layer is formed; the surface of the middle layer is coated with an Ir-Ta-Sn-Co-Mn solution for 3-5 times, sintering is conducted for 10-15 min at the temperature of 500-600 DEG C after each time of coating, and a surface active layer is formed; wherein the molar ratio of all metal components in the Ir-Ta-Sn-Co-Mn solution is as follows: Ir: Ta: Sn: Co: Mn is equal to 7.16: 4.5: 0.8: 0.8: (0.5-1.2). According to the preparation method of the high-performance titanium anode, through staged sintering, multi-layer component regulation and control and process optimization, the problems of insufficient coating compactness, matrix passivation and low Ir utilization rate are solved, and the technical effects that the strengthening life is larger than or equal to 20 days (40000 A / m), and the bath voltage reduction is larger than or equal to 10% are achieved. The invention further provides the high-performance titanium anode and application thereof.

The invention provides a battery health degree detection method and apparatus, and a medium. The method comprises the steps of collecting data related to a battery; defining a reference parameter group set according to the data, wherein the set at least comprises the following reference parameters: a cell voltage difference, a power consumption mean value, a cell temperature difference, an accumulated mileage, a battery calendar life, an accumulated cycle index, a battery material coefficient, a battery combination string number and a state of charge; classifying and normalizing the reference parameters, and calculating an environment correction coefficient, a calibration coefficient and a dynamic weight factor according to the classified and sorted data; calculating an attenuation contribution value and a total attenuation value of each reference parameter according to the normalized data, the environment correction coefficient, the calibration coefficient and the dynamic weight factor; and calculating a battery health degree value according to the total attenuation value. The battery pack does not need to be disassembled, the detection operation is simple, convenient and rapid, a multi-parameter coupling mechanism is adopted in the calculation process, and the detection accuracy is high.

The invention belongs to the field of preparation of nano materials, and discloses a CoP / Co (OH) 2 sea urchin-shaped heterojunction catalyst growing on foamed nickel and a preparation method and application of the CoP / Co (OH) 2 sea urchin-shaped heterojunction catalyst. Alkali cobalt carbonate (CoCH) is used as a precursor, a crystalline phase CoP substrate is generated through a low-temperature phosphating method, then the surface of the crystalline phase CoP substrate is uniformly coated with an amorphous Co (OH) 2 layer through an electro-deposition process, and the self-supporting phosphating / hydroxyl heterogeneous structure catalyst (CoP / Co (OH) 2) is successfully constructed. The obtained CoP / Co (OH) 2 shows excellent complete water splitting performance, and is benefited from the high-activity specific surface area (Cdl = 44.66 mF cm <-2 >) and the interface rapid electron conduction characteristic (Rct = 0.43 omega) of a heterogeneous structure; when two electrodes are assembled to fully decompose water, the cell voltage is only 1.780 V when the current density is 250 mA cm <-2 >, and after continuous operation is carried out for 24 hours, the performance is basically kept unchanged, and the voltage fluctuation ratio is lower than 0.5%. CoP / Co (OH) 2 is prepared into a 2 * 2cm < 2 > self-supporting electrode to construct AEMWE, only 2.08 V cell voltage is needed under the ultrahigh current density of 1A cm <-2 >, the AEMWE can stably run for 250 hours, the attenuation rate is 80 mu V h <-1 >, meanwhile, the hydrogen production efficiency is calculated to reach 96.2% through gas metering and Faraday law, and the engineering potential of the AEMWE in large-scale hydrogen production application is verified.

The invention relates to the technical field of rare earth electrolytic metallurgy, and discloses a praseodymium-neodymium alloy low-temperature electrolysis cell voltage optimization method and system.The method comprises the steps that multi-parameter coupling analysis is conducted on an electrolytic cell low-temperature electrolysis initial parameter set, and key influence factors are obtained; carrying out correlation analysis on the key influence factors by combining fluctuation characteristics of the cell voltage to obtain an influence weight sequence; determining a collaborative adjustment scheme of the polar distance and the current density according to the weight sequence; the cell voltage is synchronously adjusted based on the collaborative adjustment scheme, and accurate control over the two is achieved; the operation parameters of the electrolytic cell are collected and integrated to obtain a feedback parameter set, the feedback parameter set is fed back to a correlation analysis link to optimize the key influence factor identification precision, and finally a cell voltage optimization scheme is obtained. The technology can accurately identify the key influence factors, dynamically adapt to the operation change of the electrolytic cell, improve the stability of the cell voltage, reduce energy consumption and cost, and improve the efficiency of cell voltage optimization. The production efficiency and the product quality are ensured.

The invention provides a battery management system, a control method and a vehicle with the battery management system. The slave control module is electrically connected with the battery pack, the slave control module is used for periodically acquiring a plurality of battery cell state parameters of the battery pack, and the battery cell state parameters at least comprise battery cell real-time temperature data, battery cell real-time current and battery cell real-time voltage; the display module is used for displaying the charge state of the battery pack; and the master control module is electrically connected with the slave control module and the display module, and the master control module is used for controlling the display module to display a target charge state based on the battery cell state parameters. Through close cooperation of the slave control module, the master control module and the display module, accurate control of the state of charge under the large-current charging and discharging condition is realized, and the problem of inaccuracy of state of charge estimation under the traditional large-current charging and discharging condition in the prior art is solved.

A hybrid light tower includes an engine, a mast, a generator configured to be driven by the engine, a battery coupled to the generator, a light assembly having a light, and a controller in communication with the battery, the engine, and the light assembly. The controller is configured to operate in a hybrid mode where the controller is configured to monitor a cell voltage of the battery, determine if the cell voltage of the battery is below a charging threshold, upon determining that the cell voltage of the battery is below the charging threshold, start the engine and charge the battery in a constant current mode, while charging in the constant current mode, determine if the cell voltage is above a constant voltage threshold, and upon determining that the cell voltage is above a constant voltage threshold, charge the battery in a constant voltage mode.

The invention relates to a battery use control method and control system for an industrial endoscope. The method comprises the following steps: presetting an initial nominal electric quantity value of a battery and a full electric quantity value when the battery is fully charged; in the OCV state, the chip detects and acquires the open-circuit voltage of the battery and measures the electricity by using a universal meter, and the battery voltage is compensated through the difference between the open-circuit voltage and the electricity to serve as the initial voltage of the battery; the initial electric quantity value of the battery under the initial voltage is converted through an OCV-SOC curve; on the basis of the initial electric quantity value, calibrating the initial electric quantity value through coulomb integration when a load is connected or charging is carried out, and taking the initial electric quantity value as a current electric quantity value; calculating the percentage of the battery remaining capacity; calculating the remaining time that the battery can be used according to the percentage of the correlation model of the endoscope use mode and the battery power consumption and the remaining power of the battery; meanwhile, the invention discloses a control system using the method. According to the invention, the use of the battery can be controlled more efficiently and accurately.

An apparatus for diagnosing a battery according to an embodiment of the present disclosure includes a voltage measuring unit configured to measure a voltage of a battery during a discharge process of the battery; a pulse output unit configured to generate a discharge pulse at every predetermined cycle and output the generated discharge pulse to the battery; and a control unit configured to calculate a resistance value of the battery based on a voltage deviation of the battery due to the discharge pulse, determine a resistance pattern in a preset initial discharge region based on the calculated resistance value, and diagnose whether there is lithium precipitation in the battery according to the determined resistance pattern.

The utility model provides a lithium ion battery module disaster monitoring platform in a running state, which comprises a sealing test cabin, a flue gas analyzer, an infrared thermal imager and a camera, a heating coil is arranged on the inner wall of the box to ensure the consistency of the initial temperature in the box body and reduce test errors, and two lifting frames are arranged in the sealing test cabin to ensure the consistency of the initial temperature in the box body. A lithium battery module and a current sensor are arranged on the two lifting frames respectively, the lithium battery module is connected with the current sensor, and a voltage monitoring device, a resistance monitoring device and a temperature monitoring device are arranged outside the sealing test cabin. The voltage monitoring device and the resistance monitoring device are connected to the lithium battery module and used for monitoring the cell voltage and the overall resistance of the lithium battery module. According to the utility model, various operation conditions are introduced, and measures of temperature monitoring, voltage monitoring, resistance monitoring, short-circuit current monitoring and the like are combined so as to realize omnibearing and high-precision monitoring of abnormal conditions of the module.

The invention discloses a power control method and device for a power battery, a medium and a program product, and relates to the technical field of battery management, and the method comprises the steps: determining the reference discharge power of the power battery according to the current residual electric quantity and temperature of the power battery; calculating the real-time discharge power of the power battery according to the total voltage and the total current of the power battery; when the residual electric quantity is smaller than or equal to a preset electric quantity threshold value, monitoring the lowest single voltage of the power battery; and according to the real-time discharge power, the minimum monomer voltage and the reference discharge power, obtaining the actual allowable discharge power of the power battery. The precision of discharge power control and the smoothness of the vehicle are improved.

The invention relates to the technical field of battery management, and discloses a novel separated BMS battery management system, which comprises a data acquisition module used for acquiring the battery cell voltage and the battery cell temperature of each single battery cell in a battery pack; the state map construction module is connected with the data acquisition module and is used for constructing and maintaining a multi-dimensional state map for describing the state of each single battery cell, and the multi-dimensional state map at least comprises the battery cell voltage and the battery cell temperature acquired by the data acquisition module, and the dynamic internal resistance and the charge acceptance index of each single battery cell; and the collaborative equalization management module is connected with the state map construction module and is used for performing collaborative equalization management on the battery pack based on the multi-dimensional state map. By constructing a multi-dimensional state map including cell voltage, cell temperature, dynamic internal resistance and charge acceptance index, deep and comprehensive perception of electrochemical and thermodynamic states of a single cell is realized.

The invention discloses a fuel cell engine control method and device, a fuel cell vehicle and a medium. The method comprises the following steps: acquiring an engine state signal, inlet water temperature and outlet water temperature of a fuel cell engine, and determining that the fuel cell engine is in a low-temperature starting state or a normal-temperature starting state; when the fuel cell engine is in a low-temperature starting state or a normal-temperature starting state, detecting a first monomer voltage corresponding to the fuel cell stack by adopting a fuel cell voltage inspection module, and determining whether the fuel cell stack has a starting antipole fault or not according to the first monomer voltage and a multi-stage starting antipole threshold value; and when it is determined that the fuel cell stack does not have the start-up antipole fault, controlling the fuel cell engine to enter a normal operation state, and determining whether the fuel cell stack has the operation antipole fault according to the detected second monomer voltage and the multi-stage operation antipole threshold corresponding to the fuel cell stack. According to the invention, multi-level classification processing of the antipole fault of the fuel cell engine is realized.

A battery system includes a battery module; a cell monitor controller (CMC) including a battery monitoring integrated circuit (BMIC) that monitors a cell voltage of each of the plurality of battery cells based on a signal received from the plurality of input terminals; and a branch board including a plurality of wirings that provide a power path connecting the plurality of battery terminals and the plurality of input terminals of the CMC, and a plurality of switches that have one end connected to one of each of a plurality of adjacent two wirings included in the plurality of wirings and the other end connected to the other of each of the two wirings.

The invention belongs to the technical field of power battery fault monitoring, and particularly relates to a battery consistency early warning method, system and device based on modal decomposition and a medium, and the method comprises the steps: firstly obtaining the charging and discharging time sequence data of a battery pack, and constructing a battery cell voltage matrix; a frequency domain-time domain coupled mode decomposition method is adopted, and multi-mode characteristics of each battery cell are extracted through discrete Fourier transform and an iterative optimization variational mode decomposition algorithm; performing anomaly detection on row vectors of the modal matrix by adopting a box plot method, and taking an intersection of detection results of each modal component to determine a target abnormal battery cell; and finally, giving out early warning according to the voltage and temperature values of the abnormal battery cell. The early consistency degradation of the battery can be effectively identified, the false alarm rate and the omission ratio are remarkably reduced, and the method is suitable for safety monitoring and fault early warning of the battery of the new energy automobile.

Aspects of the disclosure include the detection of battery cell degradation. An exemplary battery management system can include a memory, computer readable instructions, and one or more processors that perform operations that include: responsive to determining that a charging state has completed, measuring a first cell voltage of a cell of the battery pack; responsive to the first cell voltage exceeding a reference voltage, measuring a second cell voltage of the cell of the battery pack; responsive to the second cell voltage being equal to the reference voltage, measuring a cell pressure of the cell of the battery pack at the reference voltage; determining a difference between the cell pressure and a prior cell pressure at the reference voltage; and responsive to the difference between the cell pressure and the prior cell pressure exceeding a threshold, identifying the cell of the battery pack as a degraded cell.

The invention discloses a fault diagnosis method for a series energy storage lithium battery pack under a charging condition, and the method comprises the following steps: (1), monitoring and collecting the single voltage and temperature of each cell in real time, and uploading the single voltage and temperature; (2) taking the single voltage of the battery cell as the characteristic of the battery cell and expanding; (3) expanding the characteristics of the battery cells, and introducing a voltage correlation coefficient between the battery cells as a new characteristic dimension; (4) calculating a correlation coefficient change rate of the current time window and the previous time window as a new feature; (5) calculating a Z-Score score of the information entropy as an expansion feature; (6) determining the characteristic vectors of the single cells to obtain a final characteristic matrix; (7) the feature matrix is put into an isolated forest algorithm for abnormal point identification; and (8) further analyzing and screening the battery cell data points marked as abnormal, and determining an abnormal reason and a fault type. The method does not need battery modeling, is suitable for various different types of battery cells, and is simple, convenient and rapid.