1628 results about "Charge current" patented technology

The invention discloses a new energy commercial vehicle fast charging working condition thermal management control method and system, and relates to the technical field of new energy vehicle thermal management and fast charging control, and the method comprises the following steps: collecting the temperature, voltage and current data of each subarea of a battery in a fast charging process, forming a time synchronization sequence, and based on the sequence, obtaining a new energy commercial vehicle fast charging condition; calculating internal thermal resistance and thermal capacity parameters of the battery in real time by using an online identification algorithm, updating a basic thermal model to obtain a corrected thermal dynamic model reflecting actual thermal characteristics of the current battery, importing the corrected model into a model prediction controller, constructing a multi-objective optimization function, and performing rolling solution in a prediction time domain to obtain a prediction model; and outputting an optimal target charging current instruction and a cooling total demand, adjusting the charging power according to the target current, and combining the temperature difference distribution of each partition. Accurate prediction and partition cooperative control of the thermal state of the battery in the fast charging process are achieved, the temperature rise and the temperature difference are effectively restrained while the charging efficiency is guaranteed, the service life of the battery is prolonged, and the system safety is improved.

The invention discloses an electric wheel dumper energy-saving control method and system based on braking energy recovery, and relates to the field of electric vehicle energy-saving control, and the method comprises the steps: calculating an energy fluctuation value through collecting wheel rotation speed deceleration, building a cross-cycle energy accumulation curve, and generating an energy prediction feature map; establishing a double-loop energy mapping relation according to the energy prediction feature map, dividing the double-loop energy mapping relation into a quick response path and an optimization calculation path, and outputting a time-sharing braking strategy; the torque switching process is compensated, and a smooth braking instruction is output; generating a segmented charging power curve in combination with the maximum allowable charging power; carrying out segmented adjustment on the charging current to generate a charging control signal and calculating real-time charging conversion efficiency; and the charging conversion efficiency value is distributed to the dual paths according to the time weight, and the time-sharing braking strategy is adjusted. By establishing a double-loop control strategy of braking energy prediction and charging efficiency optimization, the energy recovery efficiency is improved, and collaborative optimization of the braking and charging processes is realized.

Provided in the present application are a balanced charging method and apparatus for a battery pack, and a computer program product. Charging current control consists of two stages, i.e., a "pulse square-wave excitation" stage and a "multi-stage current-reduction charging" stage. During the pulse square-wave excitation stage, the parameter identification of an equivalent circuit model and the joint estimation of state variables are realized, thereby providing reliable battery parameters for a subsequent balancing process. During the multi-stage current-reduction charging stage, a flyback converter is used to control a balanced current of each battery cell, and the battery cells remain in a charging state throughout a balancing process, thereby effectively mitigating the impact of a hysteresis voltage.

A power supply control device includes: an output stage circuit having a high-side transistor provided between an application terminal of an input voltage and a switch terminal, and a low-side transistor provided between the switch terminal and a ground terminal; a high-side driver; a low-side driver; a switching control circuit for controlling on / off state of the high-side and low-side transistors using the low-side and high-side drivers; a boot terminal for applying a boot voltage; a rectifying element for supplying a charging current to a boot capacitor during an on period of the low-side transistor; a reverse current detection circuit for detecting a specific reverse current state in which a reverse current flows from an output terminal to which the output voltage is applied, toward the low-side transistor via the coil and the switch terminal; and a monitor circuit for monitoring a height of the boot voltage.

The embodiment of the invention provides a current adjusting method for a battery in a vehicle, the vehicle and a computer readable storage medium, and the method comprises the steps: detecting the working state of a charging pile and the charging state of the battery in the charging process of the battery in the vehicle; in response to the condition that the charging pile is in the normal working mode and the current charging performance index of the battery meets a charging current up-regulation condition, determining a charging current up-regulation parameter of the battery; increasing the initial request charging current of the battery based on the charging current increasing parameter to obtain a target request charging current; controlling the charging pile to charge the battery according to the target request charging current; and in the process of charging the battery by the charging pile, in response to the situation that the battery does not meet the charging current up-regulation condition, reducing the target request charging current of the battery based on the current demand charging current of the battery. The technical problem that the charging current is frequently adjusted according to the preset charging curve in the prior art, and the battery health of the vehicle is affected is solved.

The invention discloses a buck-boost circuit-based mppt charging current backflow prevention control method, and relates to the technical field of switching power supplies, and the method comprises the steps: collecting a photovoltaic input voltage, a battery output voltage, and an inductive current flowing through an inductor; the current input power is calculated based on the photovoltaic input voltage and the inductive current, and the reference voltage is dynamically adjusted through an MPPT loop algorithm; pI voltage loop operation is carried out on the output voltage and the adjusted reference voltage, and expected charging current is generated; pI current loop operation is carried out on the expected charging current and the inductive current sampling value after proportionality coefficient adjustment, and a PWM duty ratio control signal is output to adjust the driving states of the four switching tubes; when the judgment circuit is in an intermittent conduction mode and meets critical conditions, a driving signal of the fourth switching tube is shielded, and only a body diode realizes a current path to prevent reverse flow of current; the battery current is effectively prevented from flowing backwards, and the system safety and the energy utilization efficiency are improved.

A system for pre-charging short circuit detection in electric aircraft. The system includes a charging connector and a controller communicatively connected to the charging connector. The charging connector includes a housing, at least a conductor, and at least a control signal conductor. The housing is configured to mate with an electric aircraft port of an electric aircraft. The at least a conductor is configured to conduct a charging current to the electric aircraft. The at least a control signal conductor is configured to conduct a control signal. The controller is configured to receive a circuit health datum, through the at least a control signal conductor, prior to initiation of charging of the electric aircraft, and to disable initiation of charging of the electric aircraft if the circuit health datum comprises a short circuit datum. A method for pre-charging short circuit detection in electric aircraft is also provided.

The invention relates to the technical field of direct current charging pile liquid cooling heat dissipation control. The invention provides a cooperative control method, system and device for a direct-current liquid cooling charging pile and a storage medium. The method comprises the following steps: collecting charging current, gun line temperature, power module temperature and environment temperature; respectively constructing improved prediction function control sub-models of the gun line temperature and the power module temperature, and generating corresponding liquid cooling oil flow velocity control signals; heat dissipation control is carried out on the gun line and the power module through the liquid cooling machine execution unit; actual temperature is collected in real time and compared with predicted temperature to obtain an error, a control signal is corrected according to the error, and an optimal control mode is selected by adopting a mode switching strategy; and according to the current thermal load state, dynamically distributing the weight output by each sub-model, and adjusting the control priorities of different heat dissipation objects to realize collaborative heat dissipation. The problems of unbalanced heat dissipation, response lag and low energy efficiency caused by lack of cooperative control of a plurality of heat dissipation objects in an existing direct current charging pile liquid cooling heat dissipation technology are solved.

Responsive to a voltage across a capacitor being greater than a voltage across a traction battery, a controller may open switches such that charge current from a DC charger flows through a diode to the traction battery without following through coils of an electric machine and without flowing through an inverter.

The invention discloses a lithium battery dynamic rapid charging track generation method based on multi-state estimation and risk criterion, belongs to the technical field of electric vehicle lithium ion battery charging, and aims to solve the problem that the charging speed, the energy efficiency and the battery life are difficult to consider in the rapid charging process of a lithium ion battery in a wide temperature range. And a relatively high lithium plating safety risk exists. The method comprises the following steps: firstly, constructing an electrochemical thermal aging coupling model, and establishing a lithium plating risk criterion and risk map based on the model; then, on-line multi-state estimation is realized based on an electrothermal coupling equivalent circuit model, and a multi-objective optimization function and a safety constraint system which comprehensively consider charging time, energy efficiency and life loss are constructed; and finally, a model prediction control framework is utilized, a state estimation result and a risk criterion are fused, and an optimal charging current track is generated in a real-time rolling manner.

A battery heating system includes: a temperature monitoring circuit configured to output a temperature monitoring signal; a voltage conversion circuit configured to receive a first voltage that is input by a power supply or a second voltage that is input by a to-be-heated battery; and a control circuit configured to receive the temperature monitoring signal and output a control signal. The voltage conversion circuit is configured to perform boosting processing or bucking processing on the first voltage based on the control signal or perform boosting processing or bucking processing on the second voltage based on the control signal to enable the to-be-heated battery to receive a charging current from the power supply in a first time segment using the voltage conversion circuit and the to-be-heated battery to output a discharging current to the power supply in a second time segment using the voltage conversion circuit.

The invention relates to the technical field of fuel cells of hydrogen energy unmanned aerial vehicles, in particular to a power balance method and system of a fuel cell system for a hydrogen energy unmanned aerial vehicle, and the method comprises the steps: calculating the power balance of the fuel cell system for the hydrogen energy unmanned aerial vehicle based on the real-time state of a lithium battery, the current flight working condition of the unmanned aerial vehicle and the efficiency characteristic of the fuel cell; dynamically setting a target charging current of the lithium battery; obtaining a deviation value based on the actual charging current of the lithium battery and the target charging current; the PID controller generates a control signal, adjusts the reaction rate of the fuel cell, and changes the output current of the fuel cell, so that the actual charging current of the lithium battery works with the target charging current as the reference; power balance between the fuel cell and the lithium battery can be effectively achieved, the stability, reliability and system efficiency of the unmanned aerial vehicle power system are improved, meanwhile, the fault handling capacity is achieved, and normal flight of the unmanned aerial vehicle under various conditions is guaranteed.

The invention discloses a full-working-condition driving force optimal distribution control method based on an HCU, and relates to the technical field of new energy automobile control, and the method comprises the following steps: building a long slope energy flux analysis model, generating a time sequence envelope curve of recovery power based on a slope, an automobile speed and a wheel end inertia, and extracting a local peak value interval in the time sequence envelope curve; and in the peak value interval, based on the open-circuit voltage, pulse current and impedance spectrum information of the power battery, online identifying the absorption capacity of the power battery, correcting the upper limit of the state of charge of the power battery, determining a rechargeable current threshold value, carrying out coupling analysis on the threshold value and the recovery power envelope curve, and identifying the reverse current risk time period of the inverter. According to the method, real-time constraint on the absorption capacity of the power battery under the long-slope deceleration working condition is achieved, the inverter reverse irrigation risk is recognized, a peak clipping track and a transient discharge channel are constructed, micro-pulse, accessory absorption and super-capacitor shunting are fused, energy closed-loop control is formed, and the safety of the whole vehicle and the energy utilization efficiency are improved.

The invention provides an anti-over-temperature protection method and system for a battery of a two-wheeled vehicle of a battery changing cabinet in the technical field of battery safety management of the battery changing cabinet. The method comprises the following steps: S1, setting a threshold parameter; s2, collecting the temperature value and the real-time SOC of each battery in the charging process, and calculating the temperature rise rate; s3, when the temperature value is smaller than the temperature early warning value and the temperature rise rate is smaller than or equal to a first temperature rise rate threshold value, a minute-level monitoring mode is triggered; s4, when the temperature value is larger than or equal to the temperature early warning value or the temperature rise rate is larger than a second temperature rise rate threshold value, a second-level monitoring mode is triggered, and the initial charging current is adjusted based on a three-level current regulation and control strategy; s5, performing current recovery operation on the reduced charging current; s6, executing fusing protection based on the triggering times of the three-level current regulation and control strategy; and S7, when the real-time SOC reaches the SOC upper limit, stopping charging of the battery. The power conversion cabinet has the advantage that the charging safety of the power conversion cabinet is greatly improved.

The invention relates to the technical field of lithium battery management, and discloses an intelligent charging optimization control method for a lithium battery pack, and the method comprises the steps: S1, monitoring the multi-dimensional parameters of the lithium battery pack in real time, including the single voltage, the battery temperature, the environment temperature and the current charging current; s2, calculating the health state and the current charging efficiency of the battery pack based on the monitoring parameters; s3, dynamically generating an optimal charging curve according to the state of the battery pack, wherein the optimal charging curve comprises an adjustment strategy of charging current and charging voltage; s4, implementing multi-stage adaptive charging control, including a pre-charging stage, a constant-current charging stage and a constant-voltage charging stage; and S5, evaluating the safety state of the battery in real time in the charging process, wherein the safety state comprises thermal runaway risk and overcharge risk early warning. By monitoring the multi-dimensional parameters of the lithium battery pack in real time, comprehensive sensing of the battery state is realized, the problem of single monitoring parameter of a traditional method is solved, and a data basis is provided for intelligent charging control.

The invention relates to the field of switching power supply management integrated circuits, in particular to a self-adaptive conduction time generating circuit for a BUCK type DC-DC converter, which comprises a charging circuit (1) and a sampling circuit (2), and is characterized in that the charging circuit (1) generates charging current in direct proportion to input voltage through a charging capacitor (C1) and a comparator (OP2), and charges the C1 to obtain first charging voltage; the sampling circuit (2) samples and filters the voltage of the switch node (SW), and outputs a first sampling voltage in direct proportion to the output voltage; and the comparator (OP2) compares the first charging voltage with the first sampling voltage, and outputs a turn-off signal to control the upper power tube to be turned off when the first charging voltage and the first sampling voltage are equal, so that the self-adaptive turn-on time is obtained. By dynamically adjusting the conduction time, the electromagnetic interference in the traditional constant conduction time control is effectively suppressed, the noise immunity and reliability of the system are improved, and meanwhile, the method has the advantages of quick response and high efficiency.

The invention discloses a battery management method based on a physical information neural network. The battery management method comprises the following steps: step 1, constructing a lithium battery electrochemical-thermal coupling physical model; 2, a physical information neural network is constructed, the lithium precipitation risk coefficient of the lithium battery is predicted through the physical information neural network, and in the basic training process of the physical information neural network, the physical model is embedded into a loss function of the physical information neural network; 3, constructing model predictive control, and embedding the lithium precipitation risk coefficient into a target function of the model predictive control; and 4, calling the physical information neural network at a preset interval time to predict the lithium precipitation risk coefficient of the lithium battery, and optimizing the charging current curve through model prediction control. The charging strategy is dynamically optimized, the risk of lithium precipitation is reduced, collaborative optimization of battery safety, service life and charging efficiency is achieved, and the method is suitable for high-dynamic scenes such as electric vehicles and energy storage systems.

The invention discloses a method for improving Buck light load efficiency, which can prevent pseudo CCM operation and can keep high light load efficiency even under a large duty ratio, and comprises the following steps: after soft start of a Buck converter is completed, an enable signal at the end of soft start sets an RS trigger U3 to be in an active state, and if an inductive current zero-cross detection trigger signal rises, the RS trigger U3 is in a non-active state, the RS trigger U3 is in a non-active state, and if the inductive current zero-cross detection trigger signal is in a non-active state, the RS trigger U3 is in a non-active state. When the high-end switch and the synchronous low-end switch are switched on, the setting end input of the RS trigger U3 is triggered, a switch starting signal output by the RS trigger U3 is set at the beginning of each switching period, the switch starting signal controls the constant on-time generator to modulate the charging current or capacitance so as to prolong the time of simultaneously switching off the high-end switch and the synchronous low-end switch, and when the synchronous low-end switch is switched on, the synchronous low-end switch is switched off. And the reset end of the RS trigger U3 inputs an output signal of the constant on-time generator to trigger the RS trigger U3 to reset.

The invention provides a battery charging strategy determination method and apparatus, an electronic device and a medium. The method comprises the steps of constructing a multi-physical field coupling model of a battery system; simulation is carried out based on an electrochemical model in the multi-physics field coupling model, fast charging characteristic maps of the battery in different temperature intervals are generated, and the fast charging characteristic maps are used for representing the mapping relation among the charging current of the battery, the temperature rise of the battery and the lithium precipitation boundary; setting a maximum self-heating power limit value of the battery in a low-temperature environment based on the fast charging characteristic map; according to a preset low-temperature fast charging index and the maximum self-heating power limit value, reversely solving and determining the lowest initial charging temperature of the battery meeting the low-temperature fast charging index; and based on the lowest initial charging temperature, solving a parameter solution set containing the thickness and the heat conductivity coefficient of the external thermal insulation layer. According to the invention, the charging efficiency of the power battery in a low-temperature environment is improved.

A control system and a method for controlling a direct current (DC) link voltage of a hybrid energy storage system (HESS) includes a fractional-order proportional integral (FOPI) controller receives a voltage difference between the DC link voltage and a predetermined reference voltage and generate a reference charging current based on the voltage difference, a hysteresis controller receives a current difference between the reference charging current and a charging current of the HESS and generate a control signal based on the current difference, and a logic circuit receives the control signal and manage charging and discharging procedures of the HESS based on the control signal, so that the DC link voltage of the HESS is constant at the predetermined reference voltage, where the FOPI controller has parameters based on a metaheuristic technique.

The invention discloses a charging management circuit and a charger. The charging management circuit comprises a flyback converter, a first sampling feedback module, a second sampling feedback module and an optocoupler. The first sampling feedback module comprises a comparator, a first switch unit, a thermosensitive voltage dividing unit and a current sampling resistor. The duty ratio of a PWM chip is controlled through an optocoupler to achieve constant-current charging in the first charging stage. The resistance of the thermosensitive voltage dividing unit is increased when the temperature rises, the charging current is automatically reduced, and temperature self-adaptive protection is achieved. And when the charging current is reduced to a preset value, the second sampling feedback module takes over the control optocoupler to realize constant-voltage charging in a second charging stage. Constant-current and constant-voltage two-stage charging can be achieved, the function of automatically adjusting the charging current through the temperature is achieved, the charger is effectively prevented from being overheated in the high-temperature environment, and the safety of the charger and a battery is protected.

The invention is suitable for the technical field of circuit monitoring, and provides a capacitance value online monitoring method and system based on thin film capacitor self-healing feature perception, and the method comprises the steps: synchronously collecting a voltage signal and a current signal of a to-be-detected thin film capacitor based on a preset sampling period, and constructing a voltage sequence and a current sequence with a unified time sequence; determining a candidate transient time window based on a preset sampling period and the voltage sequence; in the candidate transient time window, a time sequence of a self-healing event is determined based on the voltage sequence and the current sequence, and the self-healing event comprises an arcing stage, an arc quenching stage and a charging recovery stage; and based on the initial voltage, the final voltage and the effective charging current in the charging recovery stage, determining an effective capacitance estimation value of the to-be-tested thin-film capacitor. According to the technical scheme provided by the invention, the self-healing behavior of the thin-film capacitor is accurately identified, so that online monitoring of the capacitance value of the thin-film capacitor is realized, and the capacitance value monitoring error is effectively reduced.

The invention belongs to the technical field of off-grid inverter and battery management, and particularly relates to an off-grid inverter battery protection and charging control method and system based on impedance detection, and the method comprises the steps: collecting battery input parameters under two different load working conditions: no-load or light-load and on-load conditions; an Ohm law analytical algorithm is adopted, a corresponding relation model of the lithium battery remaining capacity SOC and the battery internal resistance is preset, the current actual internal resistance of the battery is obtained, the preset SOC-internal resistance corresponding relation model is input, and the current SOC value of the battery is obtained through reverse deduction; an inverter charging current adjusting threshold value is set in a grading mode, and a multi-dimensional risk early warning threshold value is set in a grading mode; and when the monitored numerical value exceeds a correspondingly set risk early warning threshold value, triggering a risk early warning signal of a corresponding grade and a matched disposal action, and carrying out full-process management and control of battery state real-time monitoring, charging current self-adaptive adjustment and risk early warning. Therefore, the problems of short service life, poor charging safety and the like of the battery in the prior art are solved.

A power tool battery charger and method for adaptive charging and data transfer is disclosed. A power tool battery charger may include one or more charging docks, each charging dock including a charging interface for providing charging current, and an electronic controller including a processor and a memory. The electronic controller is configured to identify one or more battery packs received by the charging docks and determine battery information for the one or more battery packs. The battery information indicating tandem use information for the one or more battery packs, end-of-use information for the one or more battery packs, or user preference information. The electronic controller also charges the one or more battery packs based on the battery information.

The invention relates to the technical field of battery safety, and provides a battery spontaneous combustion protection system and method based on a safety curve. The system comprises a battery data acquisition unit, a safety curve storage unit, a risk assessment unit, an execution control unit and an event recording and notification unit. The residual capacity, the internal resistance, the temperature, the cycle index and the charge state of the battery are collected in real time, the data and a safety curve provided by a battery manufacturer are subjected to normalization analysis, a risk score is calculated based on a multi-parameter weighting algorithm, and a risk grade is generated. The system executes a hierarchical protection strategy according to the risk level, including risk prompting, charging current limiting, charging disabling, discharging power reducing or output disconnecting, and executes soft turn-off before disconnection to reduce energy impact. The system has cloud updating and data returning functions, can automatically generate alternative thresholds when a safety curve is missing or abnormal, realizes early recognition and active protection of the spontaneous combustion risk of the battery, and remarkably improves the safety and reliability of the system.

The invention discloses a high-fidelity power pulse sound source for ship noise simulation and a control method thereof, the high-fidelity power pulse sound source comprises an electromagnetic transducer and a driving circuit thereof, the driving circuit of the electromagnetic transducer comprises an element for actively controlling the charging current of an energy storage capacitor and a bipolar Marx circuit for generating bipolar power pulses, the working modes comprise a bipolar pulse output mode and a power amplifier output mode. The invention also provides a circuit control method required by ship noise simulation. According to the high-fidelity power pulse sound source for ship noise simulation and the control method of the high-fidelity power pulse sound source, accurate injection and extraction of current in an electromagnetic transducer coil are achieved, and then the transducer is accurately controlled to output sound waves; the two working modes of bipolar pulse output and power amplifier output simulate a continuous spectrum and a line spectrum in ship noise respectively, and finally, a neural network used for generating a pulse power supply trigger signal is trained based on a cyclic gating unit, so that high-fidelity ship noise simulation is realized.

A battery diagnosing apparatus includes a charged-state detector configured to detect a charged state of a battery, a charging current controller configured to vary a charging current for the battery when the charged state of the battery corresponds to a predetermined diagnosis charging range, and a battery diagnosing unit configured to analyze a charging profile generated during charging of the battery, thereby determining whether or not the battery is abnormal.

Example implementations include a method, apparatus and integrated circuit (IC) for active pre-charging a battery system. The IC may include a pre-charging controller configured to manage pre-charging of a capacitive load. The IC may include a programmable current control module configured to maintain constant charging current based on one or more parameters from the pre-charging controller. The IC may include a smart gate driver configured to drive one or more high voltage field-effect transistors (FETs) based on one or more control signals from the pre-charging controller. The IC may include a boundary mode controller configured to configure inductor current to maintain constant charging current. The IC may include a safety monitoring module configured to detect an overvoltage or undervoltage state based on system voltage monitoring. The IC may include a timing module configured to indicate a charge completion following a defined charge time.

The invention discloses a battery charging management method and device, equipment and a medium, and the method comprises the steps: obtaining the surface temperature data of each cell, calculating the real-time internal resistance through combining the terminal voltage of the cell with the charging current, judging the internal resistance abnormality through the correlation of two parameters, namely temperature and internal resistance, and accurately capturing the initial fine change of the internal resistance. The problem that early abnormity is difficult to recognize in traditional single temperature or environment temperature detection is solved, and abnormal battery cells are prevented from being in an unmonitored state for a long time. Meanwhile, the charging current is dynamically adjusted according to a preset proportion instead of overall adjustment for the battery cell with abnormal internal resistance, so that the temperature difference between the battery cell and other battery cells can be directly reduced, heating aggravation is inhibited from the source, the thermal runaway risk is reduced, the battery cell temperature can be better kept consistent, the situation that the overall service life of the battery is prolonged due to individual battery cells is reduced, and the service life of the battery is prolonged. Therefore, the charging efficiency is better considered, and safe and long-acting charging management support is provided for the battery of the electric two-wheeled vehicle.

The invention provides a battery performance prediction model training method and device and a battery performance prediction method and device, and relates to the technical field of batteries and machine learning. The battery performance prediction model training method comprises the steps that sample charging data of N + 1 cycles of a sample battery are acquired, and the sample charging data comprise sample performance parameters and sample working condition parameters; the sample performance parameters comprise at least one of the following parameters: sample end capacity, sample capacity median and sample voltage difference; the sample working condition parameters comprise sample charging current and / or sample charging temperature; determining input data based on the sample charging data of the first N cycles and the sample working condition parameters of the (N + 1) th cycle; determining a supervision label based on the sample performance parameter of the (N + 1) th cycle; and training a preset machine learning model by using the input data and the supervision label to obtain a battery performance prediction model.