365 results about "Charge cycle" patented technology

The invention discloses a battery health state prediction method based on multi-modal feature fusion and deep learning, and the method comprises the steps: obtaining the charging data, including current, voltage and temperature data, of each charging period during the multi-stage constant current charging of a battery; determining SOH (state of health) data of the battery; performing smooth filtering on the current and voltage data through a Savitzky-Golay filter, reconstructing a current curve, and reconstructing a voltage curve by adopting a linear interpolation method and a KF filter; constructing a comprehensive characteristic pool according to the current curve, the voltage curve and the temperature data, and directly adding the constant current value at the maximum charging amount into the comprehensive characteristic pool; screening features from the comprehensive feature pool and putting the features into a prediction feature pool; completely integrated empirical mode decomposition is carried out on the SOH data, and IMF components obtained through decomposition are put into a prediction feature pool; the method comprises the following steps: establishing a CNN (Content Number)-BILSTM-ATTENTION And performing single-step prediction and multi-step prediction on the SOH of the battery by using the trained model. According to the invention, high-precision prediction of the SOH of the electric vehicle battery can be realized.

The invention discloses a new energy automobile secondary battery health state intelligent estimation method based on small sample transfer learning, and the method comprises the steps: firstly obtaining the voltage, current and time sequence data of a new energy automobile secondary battery through a BMS, carrying out the linear interpolation downsampling operation of the data of each charging cycle, and constructing a source domain data set and a target domain data set according to different degradation levels; carrying out normalization processing on all the input features and the SOH labels; then constructing an SOH evaluation model based on a ResNet-Transform-KAN network architecture, inputting a source domain sample and a target domain sample into the model at the same time, taking regression loss of the source domain and a tagged target domain and distribution alignment loss based on MMD as a joint objective function, and performing iterative training through an Adam optimizer; and finally, inputting target domain label-free data into the trained model to realize state estimation of the secondary new energy automobile battery SOH at different degradation levels. According to the method, the accuracy of estimating the SOH of the secondary battery of the new energy automobile at different degradation levels by the model is effectively improved.

The invention discloses a charging data auditing method based on the Internet of Things. According to the invention, a multi-dimensional tamper-proof system is constructed through deep fusion of physical signal features and a data security technology. According to the dynamic data fingerprint technology, charging waveform microscopic characteristics and equipment space-time attributes are subjected to nonlinear coupling, so that data generated in each charging period has a unique and verifiable biological-grade identifier. The introduction of a chaotic mapping mechanism endows fingerprints with sensitivity to data subtle differences, even if an attacker tampers current and voltage values with the last three decimal points, an avalanche effect of fingerprint hash values can be caused, it is ensured that tampering behaviors are inevitably exposed in an auditing link, a full-link credible closed loop from data generation to auditing conclusions is achieved, and the auditing efficiency is improved. The reliability of data sources in auditing is improved, and the overall auditing accuracy is ensured. And through an innovative architecture of edge end lightweight calculation and cloud collaborative verification, the feasibility and economy of large-scale charging facility auditing are remarkably improved.

The application discloses a kind of fast charging method and device of lithium ion battery, it is related to power battery charge-discharge technical field.The application aims at the problem that the fast charging method of existing lithium battery cannot better adapt to the state of lithium battery in different charging stages.The SOC interval is selected in the application, and the SOC interval is divided into several charging stages with the defined ΔSOC as interval;The residual life prediction value of lithium ion battery is obtained according to the temperature, state of charge, charge rate and charge cycle number of lithium ion battery;The characteristic curve of lithium ion battery is obtained, and the charge time weight α of each charging stage is obtained according to the charge characteristic curve;The charging current of each charging stage is obtained by inputting the charging time, charge time weight and residual life prediction value into target equation.The application effectively prolongs the service life of battery while ensuring safe and fast charging.

A foamed liquid dispensing system includes a container for receiving a liquid to be dispensed connectable to, and removable from, a gas charging unit. The gas charging unit includes a gas compressor, gas pressure sensing means, a control unit and a user interface. The user interface permits a user to input a desired final gas pressure from a minimum value to a maximum value in discrete steps. The control unit instructs the gas compressor to charge the container with gas to the desired final pressure. The gas pressure is continuously monitored and the flow of gas into the container is stopped once the desired final gas pressure has been reached. The user interface displays the gas pressure in the container as the charging cycle proceeds. Once charged with gas and removed from the gas charging unit, the container substantially retains the final desired gas pressure until the liquid is dispensed.

The invention discloses a lithium battery state data generation method based on a fusion time sequence generative adversarial network. According to the method, a charging period is extracted from lithium battery state data to serve as real data for training the generative adversarial network. An environment temperature label and random noise corresponding to real data are used as condition information to be input into a generator, modeling is conducted on the condition information through a gating circulation unit, the spatial resolution of the hidden state output by a GRU module is gradually recovered through a convolution layer by means of a transposition convolution module, and lithium battery state data are generated. In the training process, a weight constraint strategy is introduced to control parameter distribution of a discriminator, a dynamic gradient penalty mechanism is introduced into a loss function of the discriminator, and the gradient is adaptively adjusted to improve the training stability. A voltage differential constraint is added in a loss function of the generator, and it is ensured that generated data meet a specific physical constraint condition. The confrontation process is optimized through an asymmetric gradient penalty mechanism, the model convergence time is shortened, and the authenticity of generated data is improved.

The invention discloses a management method of a battery pack and electronic equipment, the management method of the battery pack is applied to a controller, the controller is connected with the battery pack through a detection circuit, and the battery pack comprises at least one battery cell; the management method comprises the following steps: acquiring the charging cycle index and the battery capacity of the battery cell through the detection circuit; and when it is determined that the number of charging cycles is greater than a preset number of times, corresponding charging and discharging power is matched according to the battery capacity so as to control the battery pack to charge and discharge. Through the controller outside the battery pack, after it is determined that the number of charging cycles is larger than a certain number of times, the corresponding charging and discharging power is matched according to the battery capacity of the battery cell, and the charging and discharging power at the moment is smaller than the charging and discharging power of a new battery cell, so that the probability of occurrence of safety problems is reduced, and the safety of electronic products is improved.

The present application relates to a method for equalization control of a battery pack, comprising: detecting an open-circuit voltage of each battery cell of the battery pack after a charging cycle of the battery pack is ended (S1); when the first open-circuit voltage of the first battery cell is lower than a predetermined voltage threshold value, a second battery cell with the highest open-circuit voltage is discharged, and the discharge amount W of the second battery cell is determined as the difference between the first deviation X and the discharge adjustment amount M. A first deviation X between a first charge state of charge of the first battery cell and a second charge state of charge of the second battery cell is determined on the basis of the charge SOC-OCV curve and the detected open circuit voltage of the battery cells, and a discharge adjustment amount M is determined on the basis of at least the charge and discharge SOC-OCV curve of the battery cells (S2). According to the invention, the charging and discharging cycle period number of the battery can be greatly reduced in the equalization process of the battery pack, and the efficiency of the equalization process of the battery pack is effectively improved.

Methods and systems of optimizing battery charging are disclosed. Battery state sensors are used to determine anode overpotential of a battery multiple times during multiple charge cycles. In a first phase, a reinforcement learning model (e.g., actor-critic model) is trained with rewards given throughout each charge cycle of the battery to optimize training. The reinforcement learning model can determine state-of-health characteristics of the battery over the charge cycles, and in a second phase, the reinforcement learning model is augmented accordingly. During this augmentation, the reinforcement learning model is trained with rewards given on a charge cycle-by-cycle basis, wherein rewards are given after looking at the charging optimization after the conclusion of each charge cycle. Commands are given to charge an on-field battery based on the augmented reinforcement learning model, associated state-of-health characteristics of the on-field battery are determined, and the reinforcement learning model is further augmented accordingly.

A battery management system is disclosed herein. The battery management system may monitor a charge cycle of a battery. The battery management system may determine a degradation rate of the battery. The battery management system may determine a usage pattern of the battery based on usage of the battery during a time period. The battery management system may determine, using a battery analysis model, a quantity of remaining charge cycles of the battery based on the degradation rate and the usage pattern. The battery analysis model may be trained based on historical data associated with historical usage of one or more other batteries. The battery management system may determine a status of the battery based on the quantity of remaining charge cycles and the degradation rate. The battery management system may perform, based on a time period associated with a remaining useful life, an action associated with the battery.

The present invention discloses a system and method for optimizing energy distribution in renewable energy plants. The system (100) comprises a solar power plant or a wind power plant to generate electrical energy. A renewable energy controller (108) monitors real-time energy output and manages energy flow to a grid (112). The renewable energy controller (108) optimizes charging cycles based on forecasts. The renewable energy controller (108) generates dispatch schedules through an intelligent bidding unit (114), considering market prices and grid conditions, while ensuring grid code compliance. A battery digital twin unit (122) is operatively connected to the renewable energy controller (108), to simulate future states of the plant based on historical data, real-time operational data, and weather forecasts, providing inputs for the intelligent bidding unit (114) to optimize energy dispatch and storage.

The invention discloses a high-cycle-performance aqueous battery, which comprises an aqueous electrolyte, a negative electrode, a first positive electrode and a second positive electrode, wherein the first positive electrode and the second positive electrode are positioned on two sides of the negative electrode, and a first diaphragm and a second diaphragm are respectively arranged between the first positive electrode and the negative electrode and between the second positive electrode and the negative electrode; the battery is provided with an electromagnetic valve, the electromagnetic valve is electrically connected with the first positive electrode and the second positive electrode to control switching of the positive electrodes in the charging and discharging loop, and every time discharging and charging circulation are completed, the electromagnetic valve switches the electrode connection relation, and the first positive electrode and the second positive electrode are alternately connected into the charging and discharging loop. Switching of the two positive electrodes in the aqueous battery is accurately controlled through the electromagnetic valve, a positive-negative battery structure is formed in real time, the double positive electrodes alternately perform lithium removal-lithium intercalation reaction, excessive Li intercalation or insufficient positive electrode reduction caused by long-term charging and discharging of a single positive electrode is avoided, the structural stability of the positive electrode material is improved, and the service life of the battery is prolonged. The cycle life and the electrochemical performance stability of the aqueous battery are obviously improved.

The invention provides a working condition lithium battery SOH estimation method based on improved cordyceps sinensis correction-visual Transform, belongs to the technical field of battery health state estimation, and aims to solve the problems that the existing lithium battery capacity estimation depends on experimental data, the experimental data and working condition data have huge difference, and a real SOH label is lacked. The method comprises the following steps: acquiring lithium battery charging cycle and SOC change data, and selecting data sampling points; calculating a battery capacity estimation result, and carrying out statistical analysis on the battery capacity estimation result to obtain a distribution condition and statistical characteristics of a capacity estimation value; correcting the battery capacity estimation result after statistical analysis; and establishing an SOH estimation model, taking the corrected lithium battery capacity estimation result and the corresponding voltage, current and temperature data as input, and outputting a final lithium battery SOH estimation result.

A method for determining a condition indicating imminent thermal runaway in a power source includes changing a state of charge of the power source during one of a plurality of charge cycles and a plurality of discharge cycle. In response to the state of charge in each of the one of the plurality of charge cycles and the plurality of discharge cycles, the method includes matching a first condition measuring the state of charge of the power source and determining an overpotential value based on the measured state of charge. The method also includes determining a trend based on a plurality of the overpotential values and identifying an indication of possible thermal runaway in the power source based on the trend indicating a downward trend of the plurality of overpotential values.

The invention relates to the field of vehicle batteries, and discloses an early warning method, device and equipment for a composite adhesive layer battery and a storage medium, a composite adhesive layer of the composite adhesive layer battery comprises a sensing network, the sensing network comprises a conductive medium, and the sensing network is used for collecting the resistance of the conductive medium; the early warning method comprises the following steps: determining the degumming area of the composite adhesive layer according to the current resistance and the initial resistance of the conducting medium; determining an early warning threshold value according to the charging cycle index and the degumming area of the composite adhesive layer battery and the insulation resistance and the heat conductivity coefficient of the composite adhesive layer; and determining a target early warning strategy according to the degumming area and an early warning threshold so as to carry out early warning. According to the application, the sensing network comprising the conductive medium is introduced into the composite adhesive layer to monitor the resistance of the conductive medium, so that the degumming area of the composite adhesive layer is determined. And carrying out real-time early warning on the battery according to the charging cycle index of the composite adhesive layer battery and the degumming area, the insulation resistance and the heat conductivity coefficient of the composite adhesive layer.

The lithium ion battery comprises a positive electrode, a negative electrode and a non-aqueous electrolyte, the negative electrode comprises a negative electrode active material, the negative electrode active material comprises graphite and an amorphous carbon layer coating the surface of the graphite, the thickness of the amorphous carbon layer is X [mu] m, and the non-aqueous electrolyte comprises a first additive, the first additive comprises a compound A with a structure of a chemical formula 1, R1 and R2 are independently selected from hydrogen, a nitrile group, a carbonyl group, a C1-C12 alkyl group, a C2-C12 alkenyl group, a C2-C12 alkynyl group and a C3-C12 cyclic alkyl group, the mass percent of the compound A in the non-aqueous electrolyte is a%, 0.1 < a < 20, and X and a meet the condition that X / a is more than 1 and less than 10. According to the invention, the compound A is introduced into the non-aqueous electrolyte as an additive, and the fast charge cycle performance of the lithium ion battery can be effectively improved by regulating and controlling the relationship between the thickness of the amorphous carbon layer and the content of the compound A. # imgabs0 #

The invention relates to a switching-type wide-range AC charging pile metering performance and electric energy quality tester, and the tester comprises a sampling unit which is used for carrying out the data collection of a charging pile; the self-adaptive spectrum decomposition engine is used for performing spectrum decomposition on the voltage and current signals obtained by real-time sampling based on a fast Fourier transform algorithm; the adapter structure interface module adopts a standard alternating current plug and a socket to form adapter connection and is inserted between the alternating current charging pile and the electric vehicle; the communication and positioning module is used for uploading the detection data to a provincial charging pile operation management platform in real time; the data storage and processing module supports recording of all metering data and event information in each complete charging period; and the power management module supplies power through alternating current input, is integrated with a battery standby power supply, supports short-time data caching and emergency communication in a power-off state, ensures data integrity, and has the characteristics of high accuracy, high integration, miniaturization, remote communication and the like.

A method for managing a charging process of a battery pack for an electric vehicle is provided herein. The method includes initiating a charging cycle for the battery pack, actively managing temperature of the battery pack during the charging cycle by flowing a temperature-controlled coolant through a thermal management system integrated with the battery pack, monitoring state-of-charge (SOC) and temperature of the battery pack, adjusting a charging current and a coolant temperature of the temperature-controlled coolant based on a coupled electro-thermal model to achieve a target SOC and a target temperature range for electric vehicle operation, and terminating the charging cycle based on the target SOC and the target temperature range being achieved within predefined constraints.

According to one embodiment disclosed in the present document, a battery diagnosis device may comprise: an interface unit which obtains the SOC after charging for each charging cycle for each of a plurality of battery cells; and one or more processors which calculate the charge amount relative to the average for each of the plurality of battery cells, on the basis of the SOC after charging, calculate the degree of change in the charge amount relative to the average according to the charging cycle of each of the plurality of battery cells, calculate an index value by applying a weight for each cycle to the degree of change in the charge amount relative to the average of a battery cell, among the plurality of battery cells, which is undergoing diagnosis, and diagnose an abnormality in the battery cell undergoing diagnosis on the basis of the index values for each cycle of the battery cell undergoing diagnosis.

The present invention discloses a preparation method and application of a positive and negative electrode additive for a lead-carbon battery, belonging to the technical field of lead-carbon batteries. The method comprises: mixing Ketjen black with an acid and uniformly dispersing the mixture; then shunting the resulting mixture at 70-90°C for 8-24 hours; cooling, washing, and centrifuging the mixture until the pH value is neutral; and then vacuum drying and grinding the mixture to obtain the positive and negative electrode additive for the lead-carbon battery. By adding a carbon material modified with an acidic oxygen-containing functional group as the positive and negative electrode additive, the present invention reduces side reactions at the positive and negative electrodes and reduces the loss of water in the electrolyte, thereby improving the cycle stability and high-rate state-of-charge cycle performance of the lead-carbon battery.

The invention discloses a battery changing cabinet battery aging evaluation method and system based on charging mode clustering, and relates to the technical field of battery changing cabinet battery detection. The method comprises the following steps: analyzing a battery charging cycle according to a charging period of a battery changing cabinet, and constructing a multi-dimensional charging characteristic; clustering learning is carried out based on the features, a plurality of charging mode clusters are constructed, health analysis is carried out on the battery based on the clusters, and battery health state parameters are obtained; calling real-time charging data, matching the charging mode cluster in combination with the health state parameters, and determining a target charging mode cluster; and performing battery aging evaluation according to the target charging mode cluster to generate an aging evaluation result. The technical problems of low evaluation precision and poor real-time performance caused by charging mode diversity of an existing battery aging evaluation method are solved, and the technical effects that refined analysis and dynamic matching of the battery health state are achieved based on charging mode clustering, and the accuracy, scene adaptability and real-time responsiveness of a battery aging evaluation result are improved are achieved.

The invention relates to a method for the open- / closed-loop controlling of a stepper motor. The stator windings of the stepper motor are controlled via a full-bridge circuit with switching elements. The switching elements can be controlled in such a way that a rapid-decay mode or a slow-decay mode can be set. A charge cycle time in a pulse width modulation (PWM) period is stored, and the rapid-decay mode or the slow-decay mode for the next PWM period is set according to the charge cycle time. The invention additionally relates to a control unit, and a stepper motor comprising the full-bridge circuit and the control unit.

The invention belongs to the field of batteries, and particularly relates to a positive plate, a battery and a preparation method. The positive plate comprises a positive active material; the positive electrode active material is lithium iron phosphate primary particles or a mixture of the lithium iron phosphate primary particles and lithium iron phosphate secondary particles; the primary particle lithium iron phosphate comprises large particle lithium iron phosphate with D50 in a range of 1.5 [mu] m + / -0.5 [mu] m and small particle lithium iron phosphate with D50 in a range of 0.8 [mu] m + / -0.4 [mu] m. According to the technical scheme, a scientific material system is established by means of modification of positive and negative electrode active materials, formula optimization, electrolyte optimization and the like, the preparation method of the lithium ion battery with high specific energy and quick charge performance is provided, the energy density of the obtained quick-charge long-cycle lithium iron phosphate battery can be increased to 180 Wh / Kg or above, and the service life of the quick-charge long-cycle lithium iron phosphate battery is prolonged. Meanwhile, the rate capability is improved to 3C or above, the fast charge cycle life can reach 3000 weeks or above, and the fast charge performance and the cycle performance of the lithium iron phosphate battery are effectively improved.

A lithium replenishment composite material and its preparation method, as well as a positive electrode plate, a separator, a secondary battery, and an electrical device. The composite material includes a core and a coating layer containing a conductive material, which at least partially covers the core. The core comprises a lithium replenishment agent and a metal catalyst, wherein the lithium replenishment agent includes an organic lithium compound. During an initial charging cycle, the organic lithium compound releases lithium ions to replenish lithium in the negative electrode, while its byproducts decompose into gases that are expelled from the battery, thereby minimizing impact on mass energy density and long-term performance. The metal catalyst lowers the decomposition potential of the lithium agent, allowing lithium replenishment at lower voltage while protecting the positive electrode and electrolyte. The conductive coating suppresses metal dissolution, enhances conductivity, and improves the cycling performance of the battery.

Power converter (105), comprising: a switching circuit (200) for selectively providing an input voltage (130) to a switching node (275) at a switching frequency based on a modulated control signal (135) to establish a charge cycle and a discharge cycle to produce a low supply voltage (145) having a magnitude of the low supply voltage (145) at a first output node (260) of the power converter (105), the switching circuit (200) comprising a first capacitor (222) coupled between the first output node (260) of the power converter (105) and a ground node (220); a compensation circuit (224) for the input voltage (130) coupled to the switching node (275), wherein the switching circuit (200) further comprises a first diode (225) coupled between the compensation circuit (224) for the input voltage (130) and the first output node (260) of the power converter (105), wherein the compensation circuit (224) for the input voltage (130) comprises a second capacitor (228) coupled between the switching node (275) and the first diode (225), and a second diode (226) coupled between the second capacitor (228) and the ground node (220), and wherein the switching frequency of the switching circuit (200) is such that a bias voltage on the second capacitor (228) does not have a sufficient time during the discharge cycle of the switching circuit (200) to discharge so as to maintain an offset across the second capacitor (228) equal to the input voltage (130),thereby balancing the input voltage (130) selectively provided to the switching node (275) by the switching circuit (200) such that a voltage fluctuation at the switching node (275) fluctuates by a value that is independent of an amplitude of the input voltage (130); and , a boost circuit (205) coupled to the switching node (275) and to the switching circuit (200), the boost circuit (205) operable to generate a high supply voltage (140) having a magnitude of the high supply voltage (140) at a second output node (250) of the power converter (105), the magnitude of the high supply voltage (140) being a multiple of the magnitude of the low supply voltage (145).

Aspects disclosed herein involve measuring battery capacity of a battery installed on a vehicle through a vehicle-to-grid (V2G) discharge and charge cycling operation. The EV is configured to perform the discharge / charge cycle in the discharge / charge operational mode cooperatively through a power connection to a charging station configured to operate in a V2G mode to determine battery capacity. The charging station is not only controllable by the EV to charge its battery from grid power, but the charging station is also controllable by the EV to discharge energy from its battery back to the grid in a V2G operation. The EV can disable on-board, non-essential power consuming devices before starting the discharge cycle so that measured discharge energy can be controlled to be as steady state as possible to allow a more accurate measurement of the discharge energy from the battery.

The invention relates to the technical field of lithium batteries, and provides a lithium battery overcharge protection control method and system, and the method comprises the steps: obtaining a voltage value, a voltage change rate, a temperature value and a temperature change rate of each battery cell in a lithium battery, carrying out the interval consistency correction, constructing a battery cell state data set and a change trend feature set, carrying out the state trend analysis, and obtaining a state data set; obtaining the current risk grade and the composite risk factor value of each battery cell, matching the composite risk factor value with the current risk grade to obtain a charging adjustment instruction set, and adjusting a charging control module of the lithium battery according to the charging adjustment instruction set. Through trend analysis, temperature rise change in a future charging period is accurately simulated, and critical proximity and abnormal probability are evaluated in combination with a temperature rise safety interval, so that early warning is realized, real-time control of charging current limiting and voltage amplitude limiting is realized, and the problem of protection delay or excessive protection in a complex battery environment in the prior art is solved.

A battery cell housing for forming a battery cell for an energy storage device of a motor vehicle. The battery cell housing has at least one receiving chamber in its interior for receiving at least one active material unit. The receiving chamber is delimited on the outside by at least one housing wall, the housing wall has at least one cooling chamber for guiding a cooling fluid provided for cooling the active material unit. At least one portion of the housing wall is plastically or elastically deformable, so that an expansion of the active material unit due to the charging cycle and / or aging causes a deformation of the housing wall such that the cross-section of the cooling chamber is reduced at least in portions.

The invention is suitable for the technical field of charging of mobile terminals, and provides a charging method and system for a charger of a mobile terminal and a storage medium, and the charger applied to the mobile terminal. In one charging period, the method comprises the steps that when it is detected that the charger is in a connection state with the mobile terminal, whether the battery type of the mobile terminal is a lithium ion battery or not is judged; when the battery voltage of the mobile terminal reaches a first preset voltage threshold value, switching to a constant current charging stage; when the battery voltage reaches a second preset voltage threshold value, switching to a constant-voltage charging stage; in the constant-voltage charging stage, when the output current of the charger IC reaches a first preset current threshold value, the charger IC is controlled to be switched to the charging stopping stage. According to the method, the charging process is accurately regulated and controlled in stages according to different threshold values, safe and efficient charging of the lithium ion battery of the mobile terminal is achieved, the charging effect is improved, the service life of the battery is prolonged, and practicability and usability are achieved.

The purpose of the present disclosure is to provide a non-aqueous electrolyte secondary battery that can suppress reductions in rapid charge cycle characteristics. The non-aqueous electrolyte secondary battery according to one embodiment of the present disclosure has a positive electrode, a negative electrode, and a non-aqueous electrolyte. The negative electrode has a negative electrode collector and a negative electrode active material layer that is provided on the negative electrode collector. The negative electrode active material layer includes graphite particles A and graphite particles B as negative electrode active materials. The internal porosity of graphite particles A is no more than 5%, and the internal porosity of graphite particles B is 8%-20%. When the negative electrode active material layer is bisected in the thickness direction, there is a greater amount of graphite particles A in the outer surface-side half than in the negative electrode collector-side half.