6363results about "Secondary cells charging/discharging" patented technology

The invention relates to the technical field of lithium battery management, in particular to a lithium battery pack dynamic balancing method, device and equipment, a storage medium and a computer program product. The method comprises the following steps: predicting battery cell state parameters of each battery cell based on a preset long-short-term memory neural network model to obtain a capacity attenuation trend of each battery cell; building a health state evaluation index based on the capacity attenuation trend; based on the health state evaluation indexes, performing health grade classification on each battery cell by adopting a preset clustering algorithm; obtaining the temperature gradient, the state of charge deviation and the charge-discharge rate of each battery cell, and determining the balance priority of each battery cell based on the health grade category division result, the temperature gradient, the state of charge deviation and the charge-discharge rate of each battery cell; and on the basis of the equalization priority, a target dynamic equalization adjustment strategy is generated, and each battery cell is adjusted according to the target dynamic equalization adjustment strategy, so that the energy scheduling accuracy of the lithium battery pack is improved.

The invention discloses a charge and discharge controllable system and method for a decommissioned battery, and relates to the technical field of intelligent charge control. By collecting the capacity fading rate, the internal resistance value, the cycle index and the environment temperature data of the decommissioned battery in real time, a health degree parameter is calculated by adopting a nonlinear coupling algorithm; and the future health degree evolution trend is predicted in combination with the LSTM neural network. And dynamically generating a grading label according to a preset scene threshold matrix, and matching the charging demand thermodynamic diagram with the battery grading label through a dynamic scheduling algorithm to realize intelligent distribution of charging and discharging power. And introducing a photovoltaic-battery-power grid cooperative power supply model, predicting and dynamically adjusting the power supply proportion based on the environment temperature and the photovoltaic output, and deploying to a target scene. And through a dynamic health degree evaluation and scene adaptive matching mechanism, the utilization rate of the retired battery is improved, the deployment cost of charging facilities is reduced, and the power supply reliability under multiple scenes is remarkably improved.

The invention relates to a model predictive control charging optimization method based on a dynamic power state, which initiates a'dynamic power state collaborative optimization 'mechanism, takes a real-time power upper limit as an active optimization target instead of a fixed constraint condition, and breaks through the technical bottleneck of power limitation passive response in a traditional charging strategy. The method specifically comprises the following steps: constructing an electric-thermal-aging multi-physics field coupling model of the lithium ion battery, updating electric-thermal characteristic parameters in real time through an online parameter identification algorithm, and synchronously estimating a core temperature and an aging state in combination with a double-Kalman filtering state observer; innovatively establishing a four-dimensional objective function optimization model containing a dynamic power state, and performing multi-objective collaborative optimization on a power upper limit, a charging speed, a capacity fading rate and a current fluctuation rate; and designing a dynamic rolling optimization algorithm based on a model prediction control framework, and solving the optimal charging current meeting the dynamic power distribution requirement of the power grid in real time under the hard constraint of ensuring the maximum core temperature and terminal voltage.

A charging system can include a housing. The housing can include a controller. The housing also can include a power source configured to power the controller. The charging system also can include a wireless charger configured to transfer energy to the power source. The wireless charger can include a first indicator. The first indicator can be configured to provide a first non-flashing visual output at a first brightness level and indicative of a first charging status of the power source. The first indicator also can be configured to provide a second non-flashing visual output at a second brightness level indicative of a second charging status of the power source. Other embodiments are disclosed.

A charging system can include a housing. The housing can include an inner surface. The housing also can include an internal power source. The housing further can include a component configured to draw energy from the internal power source. The charging system also can include a removable charging source. The removable charging source can be removably coupled to the housing. The removable charging source can include first and second registration structures at different locations of a perimeter of a portion of the removable charging source. The first and second registration structures can align the inner surface of the housing with the removable charging source. Other embodiments are disclosed.

The invention relates to the technical field of equalization control of a battery management system, and discloses a lithium battery hierarchical equalization control method based on a hierarchical model predictive control algorithm, comprising the following steps: constructing a hierarchical control architecture which comprises a state monitoring layer, an equalization decision layer and an execution control layer, each layer realizes cooperative control through closed-loop data interaction; the state monitoring layer collects multi-dimensional state parameters of the lithium battery system, pre-processes the collected data and then transmits the data to the equalization decision-making layer, the equalization decision-making layer constructs a multi-target optimization model based on a hierarchical MPC algorithm, and the model takes SOC consistency, equalization energy consumption minimization and cycle life maximization of the lithium battery system as optimization targets. The abnormal state of the sensor or the balancing module can be identified in time through a fault diagnosis mechanism, and when a fault occurs, a standby model is automatically switched or a balancing task is shared through an adjacent module, so that the system is ensured not to generate abrupt reduction of balancing performance due to the fault of a single component.

The invention belongs to an AI-based charging process dynamic temperature control method and system, and the method comprises the steps: collecting various data, and obtaining the heat dissipation difference data of a battery according to the arrangement channel difference data and the aging state of a battery pack structure. And the attenuation influence degree of the cooling medium on the battery performance is analyzed, the charging related data is analyzed to obtain transient electromagnetic interference, and transient heat dissipation influence factors are obtained in combination with the heat dissipation difference data of the battery. And analyzing the interaction between the battery heat dissipation difference data and the battery performance data, constructing an AI temperature prediction model in combination with the attenuation influence degree, inputting real-time battery data, and outputting a predicted temperature. Adjusting the temperature regulation and control strategy according to the transient heat dissipation influence factors to obtain a dynamic temperature adjustment strategy; according to the invention, the safety and service life of the battery can be improved, the charging efficiency and physical examination are optimized, and intelligent and adaptive management is realized.

The invention discloses a military battery operation adjusting system based on extreme environment identification and detection, and relates to the technical field of military power management, the system comprises an environment sensing module, an environment identification and decision module, a thermal management execution module and a battery management module; the environment sensing module is used for collecting environment data such as temperature, humidity, wind speed, dust concentration and solar radiation intensity in real time; the environment recognition and decision module adopts a BP neural network and fuzzy control logic to recognize and classify working condition states, and outputs a control strategy in combination with a PID adjustment algorithm; the heat management execution module realizes heating, heat dissipation and sand prevention operation according to the instruction; and the battery management module dynamically adjusts a charging and discharging strategy according to the identification state. Self-adaptive adjustment of battery temperature and energy management can be realized under extreme working conditions, the system stability is improved, the service life is prolonged, and the system is suitable for battery management in severe environments such as desert, high temperature, low temperature, strong wind and sand, high radiation and the like.

The invention relates to a self-adaptive cooperative control system and method for a sodium-ion battery energy storage system, and relates to the technical field of energy storage system control. An EMS-BMS-PCS cooperative control module is customized, a three-level architecture dynamically adjusts a voltage threshold value, and the SOC is corrected; the multi-stage active safety protection module comprises battery cell monitoring, fault battery cell ejection, modular battery replacement and three-stage fusing protection; the power grid response module PCS performs high-frequency sampling and supports grid-connected and off-grid switching and AGC / AVC service; the intelligent collaborative optimization engine integrates data to generate a charging and discharging strategy, and early warning is performed 14 days in advance for predictive maintenance; the layered distributed control module is used for realizing battery cell-to-system level management; and the double-ring network communication redundancy module ensures real-time transmission of instructions. According to the invention, the DoD and capacity utilization rate of the sodium-ion battery is improved, and the system economy is enhanced; heat spreading is blocked through multi-stage protection, the maintenance time is shortened, and the safety is improved; millisecond-level response meets the high-order demand of a power grid, predictive maintenance reduces the operation and maintenance cost, and the method is suitable for multiple energy storage scenes.

The present disclosure relates to a battery system supporting a plurality of operation modes according to the SoC. To this end, the battery system is characterized by comprising: one or more batteries supporting multiple operation modes for power storage or supply according to the state of charge (SoC); and a controller which determines an operation mode of the batteries among the plurality of operation modes according to the power supply state of a grid and the SoC of the batteries, wherein the batteries include a battery supporting an uninterrupted power supply (UPS) mode at an SoC at or below a first standard.

The invention relates to the technical field of battery management, in particular to a battery replacement cabinet battery real-time monitoring and scheduling method, the health state of a battery is analyzed and evaluated according to a preset algorithm model, and the health state of the battery is evaluated by comparing a comprehensive health score, an internal resistance change rate and a capacity fading rate with corresponding threshold values; and determining a corresponding processing mode based on the evaluation result, including generating and sending abnormal alarm information to the operation and maintenance terminal, or executing an adjustable charging mode according to the state of residual electric quantity of the battery, or executing a protective charging mode according to the deterioration degree of the battery, the health state of the battery is actively evaluated to accurately identify an abnormal battery, for example, the electric quantity may be not low but potential safety hazards exist, in advance, so that targeted charging scheduling can be realized. According to the invention, real-time monitoring and active protection of the health and safety state of the battery are realized, so that the operation efficiency is improved on the premise of ensuring the safety.

The invention discloses a capacity adaptive coordination control system and method for distributed energy storage charging equipment, and relates to the technical field of charging safety control. The method is used for solving the problems of capacity sudden drop, vehicle charging delay and power grid interference caused by lithium precipitation. The method comprises the following steps: firstly, applying micro-current excitation in a charging pulse turn-off period by using a lithium precipitation characteristic monitoring module, extracting a phase deviation angle in a voltage relaxation curve, judging a lithium precipitation risk and generating a risk tag; then, the risk decision-making module calculates a charge migration proportionality coefficient and a floating coefficient in combination with the battery type and infrared thermal imaging information; then, the demand coupling module fuses the departure moment, the electric quantity gap and the power grid frequency fluctuation to generate a urgency degree weight and a pulse compensation parameter; and finally, the power reconstruction module completes charge migration and pulse sequence reconstruction according to the weight and the compensation parameter, triggers relaxation retest, and constructs a whole-flow dynamic coordination mechanism of the energy storage system.

A battery thermal energy early warning control method, a system (1) and a new energy vehicle. The control method comprises: 1) setting a feedback current matrix of a battery module (2); 2) controlling charging and discharging of the battery module (2) on the basis of the feedback current matrix, and performing temperature control on a battery pack on the basis of the ambient temperature; 3) during the process of step 2), training and updating an SOC curve local model, fitting an SOC curve, when the SOC curve converges, determining that a battery is normal, and when the SOC curve diverges, determining that the battery is abnormal and sending out a first early warning signal; meanwhile, monitoring the temperature rise of the battery module (2), when the temperature rise speed is less than a third preset value, determining that the battery is normal, and when the temperature rise speed is greater than or equal to the third preset value, determining that the battery is abnormal and sending out a second early warning signal; when the first early warning signal and the second early warning signal are both valid, stopping charging and discharging, and sending out a fault early warning; and 4) during the process of step 2), if a working state exceeds a safety protection range, sending out a fault early warning, and initiating fire extinguishing and explosion prevention measures.

The invention belongs to the field of electrical variable measurement, and particularly relates to a single battery equalization management method for a lithium battery BMS (Battery Management System) protection board, which comprises the following steps of: acquiring voltage, temperature, total current and cycle index of each single battery in real time; based on a second-order equivalent circuit model and an extended Kalman filtering algorithm, multi-source information is fused, and the health state and the charge state are estimated with high precision; constructing a dynamic equilibrium trigger threshold fusing the charge state standard deviation, the range and the health state attenuation factor; a bidirectional flyback or multi-winding transformer active equalization strategy is selected according to the inconsistent distribution characteristics and the temperature field, and equalization current is accurately controlled through pulse width modulation; and continuously monitoring the efficiency, the temperature rise rate and the convergence in the equalization process, and dynamically optimizing the equalization parameters by using the fuzzy logic controller until the inconsistency reaches the standard. According to the technical scheme, accurate, self-adaptive, high-efficiency and safe single battery equalization management can be realized, the service life of the battery pack is effectively prolonged, and the operation reliability of the system is 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.

The invention discloses a battery pack equalization control method and system based on multidimensional state mapping, and the method comprises the steps: obtaining terminal voltage data, working current data and surface temperature data of each single battery in a target battery pack; calculating an ohm internal resistance value and a polarization impedance value of each single battery; calculating an impedance growth rate; according to the impedance growth rate and the surface temperature data, a health state value is determined, and an aging weighting coefficient is determined; determining a polarization safety coefficient of each single battery based on the polarization impedance value; calculating a state-of-charge value of each single battery in the target battery pack, and determining a balance demand deviation degree; determining a basic equalization duty ratio of each single battery according to the equalization demand deviation degree; correcting the basic balance duty ratio to generate a target pulse width modulation duty ratio; and according to the target pulse width modulation duty ratio, controlling equalization circuits connected to the two ends of each single battery to be switched on. The battery pack equalization control efficiency is improved.

Disclosed is a power electronic intelligent battery unit, including: a battery module, the battery module comprising a plurality of battery cells connected in series and sensors for measuring the voltage, current, pressure and / or temperature of the battery cells; and an intelligent battery interface, the intelligent battery interface being connected to an output side of the battery module and the sensors, and the intelligent battery interface having a power interface and an information interface for the outside, wherein the battery module monitors the voltage, current, pressure and / or temperature information of the battery cells, while providing or absorbing power by means of the intelligent battery interface.

The present invention discloses a method for fast charging of lithium-ion batteries. During the charging process of the lithium-ion battery, the lithium-ion battery is charged in stages to an upper limit voltage using a constant current charging method, and then charged to a final current using a constant current constant voltage charging method to complete the charging. In the constant current charging stage, the constant current charging rate of the latter stage is lower than the constant current charging rate of the previous stage, and the voltage reached by the constant current charging in the latter stage is higher than the voltage reached by the constant current charging in the previous stage, thereby improving the service life of the battery in a staged manner. In particular, the current rate and the voltage reached, as well as the final current, used in each stage of the battery charging are quickly determined in combination with a non-destructive lithium plating detection method, thereby greatly shortening the battery charging time while ensuring that lithium plating does not occur in the battery.

The invention relates to the technical field of industrial control systems, and discloses an industrial and commercial energy storage battery management system and method.The industrial and commercial energy storage battery management method comprises the steps that a battery main loop switching device is controlled to superpose micro-disturbance signals, a voltage response sequence is collected in real time, the approximate entropy value of the voltage response sequence is calculated, the battery operation mode is determined according to entropy value threshold value comparison, and a corresponding control strategy is executed; according to the method, the electrochemical stability in the battery is directly perceived through order degree analysis of the voltage response sequence, model-free state recognition is achieved, meanwhile, a resource self-adaptive mechanism that macroscopic monitoring triggers microscopic calculation is constructed, the decision reliability is improved through electrochemical and thermodynamic signal cross validation under the complex working condition, and the method is suitable for large-scale popularization and application. And a dynamic control system with both real-time performance and safety is formed.

Systems and methods for operating a vehicle power system are described. The vehicle power system includes an inverter and an electric machine. Switches and a diode are arranged in a way that allows a traction battery to be charged by either a lower voltage charger or a higher voltage charger. Additionally, the switches and diode allow the vehicle power system to heat the traction battery so that the traction battery may operate in a desired temperature range.

The invention provides a charging control method and device for energy storage units in an energy storage system. The charging control method comprises the steps of obtaining a charging plan of a target energy storage unit in the energy storage units; when it is determined that the target energy storage unit currently has the charging plan, whether the sum of the charging plan value of the charging plan and the average load of the transformer corresponding to the target energy storage unit exceeds the maximum load of the transformer corresponding to the target energy storage unit is determined; when the sum of the charging plan value and the average load of the transformer corresponding to the target energy storage unit is greater than the maximum load of the transformer corresponding to the target energy storage unit, determining whether a support transformer exists except the transformer corresponding to the target energy storage unit; and under the condition that the support transformer exists, the support transformer is controlled to charge the target energy storage unit, so that the capacity of the transformer can be effectively and fully used for charging control, and the operation efficiency and reliability of the user-side energy storage system are improved.

The invention provides a battery over-discharge protection method, electronic equipment and a storage medium, and the method comprises the steps: controlling a monitoring device of a battery to enter a power-off mode when it is detected that the battery is in a standing state, the monitoring device being used for collecting state parameters of the battery; determining a target time interval in which the state parameters of the battery need to be collected, the target time interval being a time interval between two adjacent times of waking up the monitoring device; and based on the target time interval, periodically waking up the monitoring device to enter an operation mode so as to acquire state parameters of the battery through the wakened monitoring device to obtain state data of the battery, and sending the state data to a terminal corresponding to the battery. According to the method, the power consumption of the battery cell in the standing state can be reduced, so that the effect of slowing down the capacity attenuation of the battery cell is achieved.

The invention is suitable for the technical field of battery safety monitoring, and provides a sodium ion battery energy storage system health state dynamic prediction method based on simulation digital twinning, and the method comprises the steps: constructing a digital twinning body comprising a physical layer, a virtual layer and a data interaction layer; performing health state estimation based on the physical layer and the virtual layer, and outputting a health state estimation value; comparing the health state estimated value with the measured value, calculating a residual error, and updating key aging parameters in the simulation model; inputting the updated key aging parameters into a pre-trained time sequence neural network model, carrying out sequence learning, and outputting a capacity attenuation trend and a residual life prediction result of the battery; generating a full life cycle optimization strategy based on the prediction result, and generating an optimal charge-discharge power table by simulating the influence of different charge-discharge strategies on the life; the problems of life attenuation and high operation and maintenance cost caused by insufficient prediction precision in the prior art are effectively solved.

Methods and systems may reliably predict the lifespan characteristics of a lithium secondary battery, for example, the mode of variation in cycle capacity in advance. A method may include a first step of subjecting a lithium secondary battery in a form of a blocking cell to an impedance spectroscopic analysis, a second step of deriving a relationship capacitance for each frequency and a calculating a charge amount, a third step of repeatedly performing the first and second steps, and a fourth step of measuring a capacity for each cycle of the lithium secondary battery and deriving a prediction expression of the capacity for each cycle of the lithium secondary battery.

An electric vehicle charging system comprising a Direct Current (DC) distributor, a site controller, one or more alternating current (AC) / DC rectifiers connected to the DC distributor and the site controller, and an electric vehicle charger having one or more DC / DC converters connected to the DC distributor and a charge controller in communication with the site controller and each of the one or more DC / DC converters. The one or more AC / DC rectifiers are decoupled from the one or more DC / DC converters.

The invention discloses a self-adaptive charging and discharging coordination control method and system for an energy storage battery, and relates to the technical field of charging and discharging control of the energy storage battery. The method comprises the following steps: correcting a maximum allowable current based on a real-time collected SOC and a preset battery low charge threshold, a battery high charge threshold, a reference coefficient, a first attenuation coefficient and a second attenuation coefficient to obtain an inner loop current amplitude limit; judging whether the current system reaches current saturation or voltage saturation, and marking a corresponding saturation mark; calculating a saturation difference value and a saturation direction angle based on the current value controlled and output by the inner ring and the current value actually output by the inner ring; according to the saturation mark, the saturation difference value and the inner loop current amplitude limit are used for correcting the preset outer layer reference power, the corrected reference power is obtained, the integration gain in the preset integration link is corrected, and the saturation state is relieved; stability and reliability of charging and discharging control of the energy storage system are guaranteed, power control precision is improved, service life of equipment is prolonged, and energy conversion efficiency is improved.

The invention discloses a lithium ion battery charging method, a control system and a storage medium, and the charging method comprises the steps: carrying out the multi-stage charging according to a plurality of divided SOC intervals, and carrying out the constant-current charging of each SOC interval through employing different charging rates. The plurality of SOC intervals are divided according to a peak value or an inflection point of a differential voltage curve calculated by a charge-discharge test of the target battery; the charging rate adopted by each SOC interval is calculated through the following formula: n is the target total charging time, and the unit is h; i and j represent the i or j SOC interval; m is the number of the divided SOC intervals; rj is the percentage of the j-th SOC interval needing to be charged; d is the negative electrode solid phase diffusion coefficient of the corresponding SOC interval. A lithium intercalation reaction stage is identified by analyzing a differential voltage curve, and key kinetic parameters are tested, so that an internal kinetic limit is finally converted into an external executable charging rate, and safe and efficient rapid charging is realized.

The embodiment of the invention provides a charging and discharging control method and system for an energy storage converter, and the method achieves the comprehensive perception of the current actual bearing capacity of a battery through the precise obtaining and fusion of three key vital signs, i.e., a battery health state (SOH), a thermal state characteristic temperature (SOT) and a state of charge (SOC). On the basis, a double-layer dynamic limit value system of a sustainable power boundary and a transient power boundary is defined: the sustainable power boundary and the transient power boundary are based on SOH and SOT, and long-term health and safety of the battery under any working condition are ensured; and the latter provides necessary short-time high-power response capability for the system in combination with moderate relaxation of the SOC state on the basis of the sustainable boundary. And finally, corresponding boundaries are intelligently selected according to the operation mode through correction logic, and fine correction is performed on the power instruction in combination with an SOC safety defense line, so that the optimal dynamic balance of the energy storage system among the performance, the safety and the service life is fundamentally realized.

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 provides an intelligent charging system and method based on illumination intensity adaptive adjustment. The intelligent charging system and method are applied to a photovoltaic energy storage system comprising a photovoltaic cell, a DC-DC converter, a storage battery charging mode control module and a storage battery. The method comprises the following steps: firstly, acquiring current illumination intensity, an incident light angle and a working environment temperature, and sending the current illumination intensity, the incident light angle and the working environment temperature to a photovoltaic cell and storage battery charging mode control module; the photovoltaic cell outputs corresponding voltage and current based on the parameters and a temperature compensation mechanism; and the storage battery charging mode control module converts the output of the photovoltaic battery into charging voltage and current for the storage battery, and dynamically determines a constant-voltage or constant-current charging mode in combination with the illumination intensity, the environment temperature, the incident light angle and the charging parameters, so that the self-adaptive charging of the storage battery is realized. Through multi-parameter cooperative adjustment, the charging mode is accurately matched with the environment condition and the storage battery state, and the charging efficiency and the system stability can be improved.