252 results about "Charge cycle" patented technology

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.

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.

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 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 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.

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.

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.

Disclosed herein are systems and methods for energy management. A system, such as a vehicle, includes power packs and a photovoltaic array with interconnected photovoltaic cells that supplies electric charge to the power packs for charging the power packs. A charge management database stores data tracking respective charge cycles of the power packs based on the charging and discharging of the power packs. An energy control system controls flow of power in the system to control the charging and the discharging of the power packs, optimizes the flow of power in the system based on the respective charge cycles as tracked in the data stored in the charge management database, and updates the charge management database based on the optimization(s). An output interface outputs a status of the power packs based on the flow of power, for instance to indicate effect(s) of the optimization(s) on the power packs.

The application discloses a one-to-many wireless time-sharing charging circuit and a control method thereof, which comprises a transmitting end circuit and a plurality of receiving end circuits. The receiving end circuit is provided with a corresponding preset charging condition. An identification bit detection circuit is arranged in each receiving end circuit. In a current time-sharing charging period and a next time-sharing charging period, the wireless charging chip charges or discharges the identification bit time-sharing detection circuit, so that the electrical state of the identification bit time-sharing detection circuit does not meet the corresponding preset charging condition in the next time-sharing charging period. The one receiving end circuit simultaneously or time-shares charges a plurality of receiving end circuits. The charging circuit and the control method thereof are simple in design, low in cost and easy to implement.

A method includes applying a preliminary discharge / charge cycle to a plurality of battery cells to obtain an initial capacity of each battery cell, applying multiple small current discharge / charge cycles to the plurality of battery cells to minimize initial voltage deviations of the plurality of battery cells, configuring a first battery cell to be tested at a plurality of first testing points, configuring a second battery cell to be tested at a plurality of second testing points, and configuring a third battery cell to be tested at a plurality of third testing points, wherein the first battery cell, the second battery cell and the third battery cell are tested concurrently for generating an OCV-SOC curve, and the plurality of first testing points, the plurality of second testing points and the plurality of third testing points are arranged in an alternate manner.

Embodiments of this application provide charging apparatuses, charging apparatus control methods, and charging systems, and relate to the field of terminal device charging technologies. The charging apparatus includes a rectifier circuit, a transformer, a lower bridge switch, a clamp capacitor, an upper bridge switch, and a controller. The transformer includes a primary coil and at least one secondary coil. The controller is configured to control the upper bridge switch and the lower bridge switch to be alternatively turned on. The controller is further configured to obtain a sampling waveform at a location at which the controller is electrically connected to the transformer when the lower bridge switch is turned off, and, when the sampling waveform is abnormal, turn off the lower bridge switch in a first phase of a next charging cycle. The sampling waveform includes a voltage waveform of the primary coil or a voltage waveform of the secondary coil.

This application relates to the technical field of voltage regulation function testing for power banks. It discloses a voltage regulation function simulation testing system and method. This application constructs a voltage regulation function simulation testing system including a simulation clock and a simulation cycle counter. At the software level, it directly simulates the passage of time and the accumulation of charge-discharge cycles during long-term battery use based on user-configured test parameters. The core algorithm layer uses simulation time and / or the number of simulated full-charge cycles to simulate the charging voltage of the power bank over time and the accumulation of charge-discharge cycles, thus completing the voltage regulation function simulation test of the power bank. This method of completing the voltage regulation function simulation test of a power bank through software simulation algorithms greatly reduces the physical testing time required without changing the physical testing environment or replacing the tested object. This significantly shortens the testing cycle while ensuring the test results accurately reflect real-world usage scenarios and have high reliability.

A method for detecting and suppressing lithium electrodeposition according to one embodiment of the present disclosure may include: a terminal voltage measurement step of measuring the terminal voltage of a lithium battery while charging the lithium battery with a charging current; a charging characteristic measurement step of dividing the terminal voltage into a plurality of voltage intervals and measuring the charging characteristic for each voltage interval; a charging characteristic comparison step of comparing the charging characteristics of the same voltage interval of a first charging cycle and a second charging cycle; and an electrodeposition determination step of determining lithium electrodeposition if the charging characteristic of the first charging cycle increases continuously in a single or plurality of voltage intervals compared to the charging characteristic of the second charging cycle.

The present disclosure aims to provide a semiconductor device that can suppress unintended activation of control power supply voltage drop protection during the initial charging period, and can also perform control power supply voltage drop protection during the control power supply voltage stabilization period. [Solution] The semiconductor device 100 according to the embodiment includes an IGBT 41, a control IC 1, a control IC 2A, and a bootstrap circuit 3 that generates a control power supply voltage VccU supplied to the control IC 1 by a bootstrap operation using a control power supply voltage VccL supplied to the control IC 2A. The control IC 2A has a control voltage detection circuit 22A that detects a decrease in the control power supply voltage VccL, and the control voltage detection circuit 22A has a period detection circuit 221A that detects an initial charging period for initially charging the bootstrap circuit 3 by a bootstrap operation.

The invention discloses a carbon emission analysis method and device for charging and discharging of an energy storage system and a medium. The method relates to the field of carbon emission, and solves the problem of low accounting precision of carbon emission. The method comprises the following steps: acquiring a real-time carbon emission factor of a power grid side, net power of a connection point between a user side and the power grid side, charge and discharge power and initial energy storage carbon intensity, and based on acquired data, obtaining accumulated absorption carbon emission and discharge carbon emission of a complete charge and discharge cycle; the energy storage carbon intensity is dynamically updated according to the accumulated charging energy and the absorbed carbon emission of the previous charging period during discharging; on the basis of the charging and discharging power, the user side carbon emission factor is corrected into the energy storage carbon intensity or the power grid real-time carbon emission factor, so that the user bears the carbon emission responsibility absorbed in the charging stage during discharging, the carbon influence of the power consumption behavior on the power grid is truly reflected, and finally the total power consumption carbon emission accounting is completed based on the correction factor. And the electric carbon emission accounting precision is improved.

The application discloses a battery internal short circuit diagnosis method and system and an electric vehicle thereof, and belongs to the field of electric vehicle batteries. The method comprises the following steps: collecting voltage data and total current data of each single battery in a battery pack in real time; determining a battery to be diagnosed and a reference battery set based on the voltage data; selecting at least two diagnosis reference points based on dynamic voltage characteristics of the reference battery set within a single charging period; extracting a plurality of different dimension fault features in the voltage data of the battery to be diagnosed based on the reference battery set within the two diagnosis reference points; adopting a weighted fusion algorithm to fuse the plurality of different dimension fault features, obtaining a comprehensive fault confidence, and calculating a short circuit resistance of the battery to be diagnosed; and performing fault determination and alarm based on the comprehensive fault confidence and the short circuit resistance, so that high-sensitivity and high-reliability internal short circuit diagnosis is realized within a single charging and discharging period.

The embodiment of the invention discloses an industrial robot automatic charging and fault grading system. A specific embodiment of the method comprises the following steps: a battery detection device is configured to perform fusion processing on a pre-collected multi-source environmental perception data set to generate robot current pose data with a semantic tag, and send the robot current pose data to a fault classification device; the charging device is configured to generate robot charging state data according to the received robot charging fault level, and transmit the robot charging state data to the mobile terminal; the mobile terminal is configured to render the received robot charging state data and cinder ladle temperature data collected in advance so as to generate a temperature change curve. According to the embodiment, the inspection continuity is improved, the fault grading time and the charging period are shortened, and the operation loss is reduced.

A battery diagnosis device according to an embodiment disclosed in the present document may comprise: an interface for acquiring state data including a current value and a voltage value of a battery cell for each diagnosis cycle corresponding to a charging cycle or a discharging cycle; and a controller for calculating a similarity between reference data and current data including the current value, extracting, from the current data, first current data having the similarity exceeding a reference value, and diagnosing whether the battery cell is abnormal, on the basis of a first voltage value corresponding to the first current data.

A multilevel converter (1) comprises a plurality of bit cells (31-35) that output DC voltages different from one another. Each of the bit cells (31-35) includes switching elements (Q1-Q4) configured to charge or discharge a power storage element (C) by performing a switching operation in response to a control command from a control device (7). The control device (7) repeatedly outputs a plurality of switching patterns in which control commands for the bit cells (31-35) are arranged in time series. The switching patterns are temporally symmetrical for each cycle, and are determined such that the length of a charging period and the length of a discharging period for the power storage element (C) are equal.

The invention relates to the technical field of electric vehicles, and discloses an average energy consumption calculation method and device, an electric vehicle and a storage medium, and the method comprises the steps: obtaining battery performance parameters and mileage data of the electric vehicle in real time; calculating first energy consumption of the electric vehicle in a single power-on period and second energy consumption of the electric vehicle in a single charging period based on the battery performance parameters and the driving mileage data; respectively calculating a first weight coefficient corresponding to the first energy consumption and a second weight coefficient corresponding to the second energy consumption according to the battery performance parameter, the driving mileage data and the second energy consumption; and performing weighted calculation on the first energy consumption and the second energy consumption by using the first weight coefficient and the second weight coefficient to obtain the real-time average energy consumption of the electric vehicle. According to the method, the actual influence degree of the energy consumption of the automobile in different running stages and running states can be comprehensively covered, so that the calculation of the real-time average energy consumption is more accurate, and the prediction precision of the endurance mileage and the driving experience of a user are further improved.

The invention discloses a bus support capacitance calculation method and device, a medium and a product, and relates to the field of power electronics, and the method comprises the steps: firstly, calculating a neutral-point potential fluctuation allowable value according to a three-phase output voltage peak value and a load power factor angle of a three-level inverter; calculating the three-phase output current of the three-level inverter according to the three-phase output current peak value of the three-level inverter; capacitance current flowing through the subintervals is calculated; then calculating the charge cumulant of the bus capacitor in a charging period; and finally, calculating the minimum capacity of the bus capacitor according to the neutral-point potential fluctuation allowable value and the charge cumulant. The technical problem that the capacitance cost and the capacitance volume cannot be effectively reduced due to the fact that the existing method is low in calculation efficiency and difficult to accurately calculate the minimum capacitance capacity on the premise that the output waveform is not distorted is solved.

This application provides a battery charging method, a battery charging device, an electronic device, and a storage medium, belonging to the field of charging technology. The method includes: querying a charging mapping table based on first battery state parameters of the target battery at the start of charging to obtain a first charging current; performing a first charging process on the target battery based on the first charging current; and performing lithium plating detection on the target battery based on a preset charging cycle; determining a target charging mode based on the lithium plating detection result; acquiring second battery state parameters at the moment the target battery switches from the first charging process to charging using the target charging mode; querying a charging mapping table based on the second battery state parameters to obtain a second charging current; and performing a second charging process on the target battery based on the target charging mode and the second charging current. This application's embodiment determines the charging mode based on the battery's state parameters during actual use, enabling rapid charging of the battery while ensuring battery safety.

The invention discloses an electrolyte additive, an electrolyte and a battery. The electrolyte additive comprises a first additive and a second additive; the first additive comprises a compound shown as a formula I; in the formula I, R1 is at least one F-substituted C1-C6 straight-chain alkyl; the second additive comprises an unsaturated carbonic ester substance. By adopting the synergistic effect of the first additive and the second additive, the storage performance and the quick charge cycle performance of the lithium ion battery under high-temperature and high-pressure conditions can be improved.