3301 results about "Charge control" patented technology

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 the technical field of unmanned aerial vehicles, and discloses an intelligent charging and endurance optimization method for an unmanned aerial vehicle nest, and the method comprises the steps: collecting flight, battery and environment data through an unmanned aerial vehicle, transmitting the data to a nest, and precisely evaluating the remaining endurance of the unmanned aerial vehicle through the nest in combination with historical tasks and geographic information; performing dynamic task planning based on reinforcement learning, and generating an optimal charging strategy by using a dynamic planning algorithm; by means of a multi-mode sensor and a self-adaptive charging control model, intelligent regulation and control of the charging process are achieved; and through solar auxiliary power supply and multi-machine cooperative charging, the endurance is enhanced. The problems of low charging efficiency, poor endurance management, insufficient system reliability and the like in a traditional method are effectively solved, the utilization rate of nest charging resources is remarkably improved, the service life of a battery is prolonged, the endurance of the unmanned aerial vehicle and the system stability are enhanced, and the method has important significance in promoting efficient application of the unmanned aerial vehicle in multiple fields.

The invention provides a split type direct current charging multi-split group charging and group control control system, and belongs to the technical field of split type direct current charging piles. The split type direct current charging system comprising a main control cabinet, a power distribution unit, a charging pile terminal and other hardware architectures is constructed; a voltage monitoring unit, a current sensor module, a harmonic filter and other multi-dimensional sensor networks are integrated to acquire power grid state data in real time, and a sliding time window method is used to carry out segmented analysis on the data to extract power grid characteristic parameters; establishing a multi-objective optimization model comprising a power balance equation and a power grid stability equation to calculate an optimal power distribution matrix, adopting a neural network to realize intelligent distribution and dynamic balance adjustment of the power of each charging pile terminal, and starting an emergency power redistribution mechanism to ensure stable operation of the system when the power grid is detected to be abnormal. The technical problem of unbalanced power distribution of the multi-pile charging system caused by power grid voltage fluctuation and harmonic pollution is solved.

The invention relates to the technical field of battery management, and discloses a forklift battery charging method and device, and the method comprises the steps: collecting the real-time multi-dimensional physical state data, including vibration data, of a forklift battery; dynamically reconstructing a multi-physical field coupling model matched with the current working condition in a preset model library according to the data; performing predictive multi-target optimization based on the model to determine an optimal charging equalization strategy considering charging time, energy loss, health attenuation and thermal risk; charging is executed according to the strategy, the deviation between physical response and model prediction is compared in real time, and online self-correction is conducted on model parameters. The system comprises a state acquisition module, a model reconstruction module, a strategy optimization module and a charging control and correction module. According to the method, the digital twin model capable of self-evolution is constructed and closed-loop feedback correction is carried out, so that the charging strategy can actively adapt to working condition changes caused by factors such as vibration and temperature, and safer and more efficient charging management of the forklift battery is realized.

The invention relates to the technical field of charging control, in particular to a new energy automobile charging safety regulation and control method and system, and the method comprises the steps: collecting a multi-dimensional feature parameter set; acquiring battery health state and charge state information, and collecting multi-point temperature information on the surface of the battery; constructing the multi-dimensional feature parameter set into a multi-dimensional time sequence, performing statistical analysis on the multi-dimensional time sequence, and extracting dynamic feature indexes; performing structured fusion on the dynamic characteristic indexes, thermal field gradient parameters calculated according to multi-point temperature information and a multi-dimensional characteristic parameter set, and projecting the dynamic characteristic indexes, thermal field gradient parameters and the multi-dimensional characteristic parameter set to a key characteristic subspace through principal component analysis to obtain a charging response vector; generating a multi-dimensional security hyperplane through the dynamic security boundary model; continuously comparing the charging response vector with the multi-dimensional safety hyperplane, and calculating a safety margin scalar in real time; and inputting the safety margin scalar into the self-adaptive regulation and control model, and adjusting the charging current output. According to the invention, active predictive charging safety regulation and control are realized through multi-dimensional perception.

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.

The invention discloses a photovoltaic centralized charging control method and device for a light commercial electric vehicle and a medium, and belongs to the technical field of new energy charging. The method comprises the following steps: acquiring weather data, a vehicle battery charge state and task scheduling data; photovoltaic module parameters and environment data are processed through an LSTM neural network model, and a photovoltaic power generation power prediction curve is generated; constructing a multi-dimensional evaluation index system including task emergency degree, charging efficiency and power grid interaction factors, and generating a charging priority sequence in combination with an entropy weight TOPSIS algorithm; solving a real-time power distribution scheme based on a mixed integer programming algorithm, and dynamically adjusting the output power of the charging pile; monitoring the operation state of the system, and triggering a multi-stage power compensation mechanism when the photovoltaic power is insufficient or the electric quantity is low; and the battery state and the photovoltaic power are updated in real time, and a charging strategy is corrected through a rolling optimization algorithm. By means of the method, centralized charging control over the light commercial electric vehicle is achieved, and the technical effect of meeting the requirements of a motorcade is achieved.

The invention relates to the field of battery charging control, in particular to a lithium ion battery equalizing charge control method and system based on a BMS (Battery Management System). The method comprises the following steps: continuously obtaining battery cell monitoring parameters of a battery charging state based on a BMS, and carrying out high-frequency filtering and denoising processing and battery cell charging behavior analysis to obtain a battery cell behavior characteristic time sequence; identifying a charging voltage response signal of each battery cell based on a BMS, performing multi-frequency impedance change trend evolution, performing battery cell charging response characteristic perception based on a battery cell behavior characteristic time sequence, and constructing a plurality of battery cell charging state maps; and carrying out quantitative calculation on charging energy flow affinity according to the battery cell monitoring parameters, carrying out state deviation trend distinguishing by combining the plurality of battery cell charging state maps, constructing a topological connection diagram among the battery cells, and carrying out energy deviation complementary path mining and dynamic deviation balance planning on weak battery cells and strong battery cells. According to the invention, efficient and accurate energy balanced distribution and charging control are realized.

The invention provides a dynamic power adaptive charging control system and method based on a W algorithm, and relates to the technical field of electric two-wheeled vehicle charging control. The system comprises a battery state sensing module, a charging power standard calculation module, a regulation and control model construction module, a model dynamic optimization module and a deviation early warning and regulation and control module. The battery state sensing module generates battery charging basic data; the charging power standard calculation module calculates a charging operation power standard value; the regulation and control model construction module generates an initial power regulation and control curve; the model dynamic optimization module calculates a self-adaptive charging power regulation and control curve; and the deviation early warning and regulation module realizes self-adaptive regulation of the charging power of the electric two-wheeled vehicle. According to the method, the power grid adaptability correction model is constructed and the regional differentiation parameters are introduced, so that power grid fluctuation is flexibly coped, wide-voltage stable operation is guaranteed, and the adaptability, the safety and the intelligent level of the electric two-wheeled vehicle charging system are comprehensively enhanced.

The invention provides a liquid-cooling over-charging control method and device, electronic equipment and a storage medium, and belongs to the field of electric vehicle charging, the method comprises the steps that first target parameters of a liquid-cooling charging pile are acquired, and the first target parameters comprise working parameters of the liquid-cooling charging pile and power grid parameters of a power grid where the liquid-cooling charging pile is located; the first target parameter is compensated based on the environment temperature of the environment where the liquid cooling charging pile is located, and a second target parameter is obtained; and the liquid cooling charging pile is controlled to be in different working modes according to different conditions met by the second target parameter, and when the liquid cooling charging pile is in the different working modes, the liquid cooling parameters of the liquid cooling charging pile are different. According to the liquid cooling over-charging control method and device, the electronic equipment and the storage medium provided by the invention, the high-power charging efficiency and safety of the electric vehicle can be remarkably improved.

The invention discloses a response control method for a charging station participating in a low-voltage treatment scene, and the method comprises the following steps: S1, collecting the voltage data of a charging pile, calculating a deviation, and judging a low-voltage grade; s2, when the deviation is in a light interval, outputting reactive power support voltage in proportion; s3, when the deviation exceeds a heavy threshold value, reducing active power and starting V2G feedback; s4, constructing a graph structure model, and extracting inter-node power coupling and user behavior factors; s5, inputting the model into an improved prediction controller, predicting a future voltage state, and optimizing and outputting a current period power control value; s6, power adjustment is executed, and feedback power is slowly output in the V2G stage; and S7, comparing the control deviation with the behavior factor change, updating the node control priority, and feeding back for rolling optimization of the next period. According to the invention, while the charging regulation and control precision is improved, the user experience and the voltage stability are effectively considered, and the method is suitable for various low-voltage treatment scenes.

The invention discloses an ordered charging management and control terminal and method for a charging robot, and relates to the technical field of robot charging management and control, and the method comprises the following steps: S1, installing an electric power data collection device at each power distribution branch, synchronously collecting voltage and current waveform data in real time, uploading the data to a central control system, generating a harmonic time domain database, and carrying out the real-time collection of the data; the method is used for reflecting power disturbance states. By constructing a distributed synchronous acquisition architecture and a harmonic time domain database, comprehensive perception and accurate identification of electric energy disturbance are realized, and a self-adaptive closed-loop control mechanism is established in combination with phase decoupling, reverse compensation and power evolution prediction, so that harmonic superposition and system resonance are effectively suppressed. According to the method, the electromagnetic compatibility and the system reliability of cooperative operation of the multiple charging robots are improved, and the equipment aging and operation and maintenance risks are reduced.

The invention discloses a new energy charging pile remote control method considering a battery health state. The method comprises the following steps of obtaining battery full life cycle data, charging pile real-time working condition data and charging area power grid dynamic data, and performing preprocessing to generate battery health baseline data, pile body operation reference data and power grid dispatching reference data; extracting current health state parameters of the battery based on the health baseline data of the battery, calculating a charging adaptation coefficient in combination with the operation reference data of the pile body, analyzing the redundant capacity of the power grid, and constructing a charging control decision model; outputting an initial charging parameter combination based on the charging control decision model, performing health protection correction, and generating a basic remote control instruction; and issuing the basic remote control instruction to the target charging pile to calculate an instruction execution deviation degree, and performing dynamic iterative optimization to generate a new energy charging pile remote control scheme. According to the invention, collaborative optimization of safety and high efficiency of new energy vehicle charging and battery charging protection can be realized.

The invention discloses a charging control method applied to charging equipment, and the method comprises the steps: controlling the charging equipment to enter a first energy transmission state under the condition that charging authentication is not completed; and in the first energy transmission state, an energy transmission loop of the charging equipment and the vehicle is in a conducting state. By controlling the energy transmission loop of the charging device and the vehicle to be in the conduction state, charging preparation is made in advance, after the authentication result is confirmed, the charging current can be rapidly output, the charging preparation and the authentication process can be synchronously carried out, and the waiting time of a user is shortened. According to the technical scheme, the safety requirement of authentication is met, energy consumption caused by the fact that charging current is output before authentication succeeds is avoided, meanwhile, an energy transmission loop can be conducted in advance, the charging response after authentication succeeds is accelerated, and user experience is improved.

The invention relates to the technical field of unmanned aerial vehicle charging and the technical field of energy storage, and discloses an unmanned aerial vehicle intelligent wireless quick charging platform based on echelon utilization batteries, which comprises a battery health assessment module, a battery management module and a battery management module, performing dynamic health assessment on each echelon battery in a charging and discharging state; the charging resource scheduling module obtains charging request information sent when the unmanned aerial vehicle prepares to return to the charging station, and dynamically allocates charging resources; the wireless charging control module is used for identifying the position information when the unmanned aerial vehicle lands, adjusting the wireless charging power and adaptively optimizing the working frequency; the energy optimization configuration module is used for performing energy optimization configuration; the safety protection module is used for identifying potential safety hazards and carrying out safety protection and fault self-healing; the optimization maintenance module is used for evaluating the performance of the charging platform and carrying out closed-loop optimization and decision updating; according to the invention, precise matching between the performance of the echelon battery and the charging demand of the unmanned aerial vehicle is realized.

The embodiment of the invention provides a charging control method and device, electronic equipment and a storage medium. The method comprises the steps of obtaining type identification information of a battery; determining a target battery type of the battery based on the type identification information; determining a charging strategy through the target battery type; and controlling the multi-mode intelligent charging system of the high-temperature energy storage power station to charge the battery based on the charging strategy, and finally realizing efficient, safe and long-life charging of different types of batteries by identifying the type of the battery and customizing a charging scheme according to the type of the battery. Therefore, the technical problems that the charging efficiency is low, the safety is low and the service life of the battery is short due to the fact that the battery type of an existing high-temperature energy storage power station cannot be accurately recognized in the battery management aspect are effectively solved.

The invention discloses an electric vehicle charging pile charging control strategy analysis method and system, and the method comprises the steps: constructing a hypergraph structure fusing the charging pile space topology, demand association and power constraint, coding node features, and building hyperedge connection; feature learning is carried out by introducing an improved hypergraph neural network of a dynamic attention mechanism and combining real-time charging parameters; a three-dimensional feature tensor is constructed by fusing a charging pile multi-dimensional sequential control model with spatio-temporal data, and a charging parameter dependency relationship is mined to generate a prediction sequence and a matrix; an optimization objective function is constructed based on power grid, equipment and user conditions to generate a preliminary strategy, an actual charging data feedback fine tuning model is utilized, and an optimal control strategy is obtained through multiple rounds of iteration. The system is correspondingly provided with seven functional units including hypergraph construction, feature learning and the like to realize the process. The method can accurately predict the charging parameters, optimizes the charging strategy, and achieves the balance of the charging efficiency, the power grid load and the user cost.

The invention relates to the technical field of battery charging control, and discloses a battery charging control method and device, a battery management system and an electric vehicle, and the method comprises the steps: collecting a current charging parameter, a battery temperature and a power grid load of a battery in real time, inputting a charging efficiency prediction model, and obtaining a charging efficiency prediction value; taking a difference value between the charging efficiency prediction value and a target charging efficiency value as a target function, and performing iterative calculation on the target function according to an independent variable-based model gradient parameter in the charging efficiency prediction model to obtain an optimal charging parameter; and formulating an optimal charging strategy according to the optimal charging parameter, the battery temperature and the power grid load. According to the invention, automation and high efficiency of charging control are realized, and the use efficiency of electrical energy is improved; through a self-adaptive adjustment charging strategy, the adaptability of the control method is improved; and through a staged safety protection mechanism, the safety and stability of the charging process are ensured, and battery damage and safety accidents are effectively avoided.

The invention provides a direct-current group charging control system and a power switching method thereof, and relates to the technical field of electric vehicle charging, and the control system comprises a data interaction controller, a charging module group, a switch module group, a plurality of charging terminals, a direct-current loop module and a direct-current loop controller. According to the method, a data interaction controller controls a switch module group to realize'full matrix 'type dynamic connection between any charging module and any charging terminal according to the real-time requirement of each terminal, and an idle terminal is electrically isolated by combining a direct current loop module; and power switching is carried out by adopting safety strategies such as double-threshold hysteresis control, voltage pre-synchronization and zero-current breaking. According to the invention, the problems of inflexible power scheduling and insufficient idle terminal safety of the existing group charging system are solved, safe, efficient, stable and dynamic distribution of the charging power in a global range is realized, and the utilization rate and the operation safety of the system are improved.

An energy storage device includes a charge storage assembly, an auxiliary storage element, and a charge control circuit. The charge storage assembly includes an array of supercapacitors coupled in series, a plurality of batteries, and a charge retention circuit. Each of the plurality of batteries is electrically coupled to a corresponding supercapacitor in the array of supercapacitors. The charge retention circuit is configured to maintain a charge state of at least one supercapacitor in the array of supercapacitors when the at least one supercapacitor is in an idle state. A charge control circuit is configured to selectively transfer charge between the at least one supercapacitor in the array of supercapacitors and the auxiliary storage element.

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.

Embodiments relate to a level shifter including a first circuit unit configured to output a start signal, a reset signal, and a node charge signal to a gate driver in response to a start control signal and a node charge control signal that are input from a timing controller, a second circuit unit configured to output an output erase signal and a clock shift stop signal in response to the start signal and the reset signal, and a third circuit unit configured to generate a clock signal based on a clock control signal input from the timing controller and output the generated clock signal to the gate driver in response to the output erase signal and the clock shift stop signal that are output from the second circuit unit, a display device including the same, and a method of driving the display device.

The invention relates to the technical field of battery pack charging control, and particularly discloses a sectional pulse charging control method and system, and the method comprises the steps: dividing a charging process into a plurality of charging intervals; a buffer zone is arranged between every two adjacent intervals; constructing a pulse control objective function; optimizing the initial parameters in combination with a particle swarm algorithm; performing transition control on the pulse amplitude and the duty ratio in the buffer zone, and fusing the optimization signal and the buffer signal to generate a final charging control instruction; compared with the prior art that a fixed current pulse or a simple segmented threshold hopping strategy is mostly adopted, voltage sudden change and severe temperature rise are likely to occur, and particularly under a nonlinear charging working condition, flexible transition of control parameters and service life-friendly charging adjustment are difficult to achieve, the method has the advantages that due to a buffer transition mechanism, the service life of the battery is prolonged, and the service life of the battery is prolonged. And pulse parameters are dynamically adjusted in combination with multi-objective optimization, so that the stability of charging control is improved and the cycle life of the battery pack is prolonged.

The invention discloses a light storage charging station electric vehicle ordered charging control method based on bilevel planning, and the method comprises the steps: firstly constructing a bilevel planning model of a light storage charging station, and enabling the upper layer planning model to be used for optimizing the overall energy scheduling of the charging station; the lower-layer planning model performs optimization scheduling on the charging behavior of the electric vehicle in the charging process according to the energy distribution result of the upper-layer planning model; and then, iteratively solving the bilayer planning model by adopting a dynamic alternating direction multiplier method, taking the output of the upper layer planning model as the input constraint of the lower layer planning model, and feeding back the result to the upper layer planning model by the lower layer planning model until the target function value of the upper layer planning and the lower layer planning converges or reaches a preset number of iterations, and the orderly charging power of the electric vehicle is obtained, and a control strategy is dynamically adjusted in case of operation deviation. According to the method, through collaborative optimization of upper-layer planning and lower-layer planning, the overall operation benefit of the power system is optimized, and a flexible charging strategy is provided for an electric vehicle user.

The invention provides an electric vehicle wireless charging control system optimization method based on a three-stage particle swarm algorithm, which considers transient performance and steady-state performance in the charging process of an electric vehicle, and divides the charging process into three stages: a starting stage, a tracking stage and a stabilizing stage. The first stage is a starting stage, and overshoot and voltage rising speed are mainly considered; the second stage is a tracking stage, and voltage tracking time and switching loss are mainly considered; and the third stage is a stable stage, and mainly considers steady-state errors and switching loss. Through a particle swarm optimization algorithm, parameters and duration of an optimization controller in each stage are optimized, and voltage fluctuation at a stage switching node is minimized, so that the system can achieve optimal performance in each stage. Compared with a traditional overall control scheme, the performance of the wireless charging system of the electric vehicle can be remarkably improved, the system loss is effectively reduced, and the purposes of high efficiency, economical efficiency and safety are achieved.

The invention relates to the technical field of charging control, and discloses a charging device, a charging control method and device thereof and a medium. When a charging plug is inserted into a target charging port, pressure data of different contact positions between the charging plug and the target charging port are collected and converted into a pressure distribution image, the pressure data are converted into image features, and the image features are stored in a memory; pressure image features in different offset directions are learned through a pre-trained contact state classification model, and rapid and accurate classification prediction of the offset directions between a charging plug and a charging port is realized, so that a traditional low-efficiency search scheme is replaced by a mode of performing offset direction rapid classification on a force sense image; the self-adaptive correction of the pose error of the charging plug is realized, the time of the final butt joint stage is greatly shortened through the efficient fine adjustment of the insertion pose, the mechanical impact and abrasion to the charging plug and the charging port are reduced, the operation safety and the equipment durability are guaranteed, the smoothness and safety of the butt joint process are improved, and the service life of the equipment is prolonged.

The present disclosure provides an overcurrent detection circuit for detecting overcurrent conditions in a battery / battery pack during charging and discharging. The circuit controls the charging and discharging of the battery / battery pack via a charge control transistor and a discharge control transistor connected in series with the battery / battery pack. The drain of the charge control transistor is connected to the drain of the discharge control transistor. The overcurrent detection circuit includes: a first detection transistor and a second detection transistor; a first voltage acquisition circuit and a second voltage acquisition circuit; a constant current source; and a comparison unit. The present disclosure also provides an integrated device and a battery management system.

The utility model relates to the technical field of hand-held charging boxes, and discloses a hand-held new energy automobile direct current charging box which comprises a box body, a lifting ring is fixedly assembled on the top of the box body, a main switch is fixedly assembled on the outer wall of the box body, a circuit on-off switch is installed on the outer wall of the box body, and the main switch is fixedly assembled on the top of the box body. A charging gun is fixedly assembled on the outer wall of the box body, a power input plug is installed on the outer wall of the box body, and an air inlet hole is formed in the outer wall of the box body. According to the portable direct current charging box for the new energy automobile, the charging control module is integrally mounted in the inner cavity of the box body, and the lifting ring is mounted at the top of the box body, so that when equipment needs to be used for charging the automobile, the equipment can be flexibly moved, and the equipment can be used for charging the automobile as long as the automobile can be stopped; and the vehicle can be charged by using the equipment without driving the vehicle to a charging station, so that the charging is very convenient, and the use convenience of the equipment is effectively improved.

The invention discloses a charge control method and circuit applied to a resonant conversion circuit, and electronic equipment. The charge control method comprises the following steps: acquiring an input voltage and an output voltage of the resonant conversion circuit; an adjustment output signal is obtained by using an error signal between the output voltage and the benchmark reference voltage; acquiring the amplitude change rate of the input voltage; obtaining a slope compensation slope by using the amplitude change rate; performing slope compensation on the adjustment output signal by adopting the slope compensation slope to obtain a feedback adjustment signal; generating a driving control signal by using the feedback regulation signal; and the driving control signal is sent to the resonant conversion circuit to adjust the on-off state of the resonant conversion circuit so as to adjust the output voltage. Through the above mode, the charge control method provided by the invention effectively improves the dynamic performance, avoids subharmonic oscillation under extreme conditions, dynamically adjusts the slope compensation slope in real time, and further ensures the stability in a relatively wide input voltage range.

The invention discloses an electric vehicle coordinated charging control method and system based on charging demand grading, and the method comprises the steps: S01, detecting whether there is an electric vehicle connected to a charging pile or not in real time, and collecting the connection state parameters of the electric vehicle; s02, the type of the charging pile is judged, if the charging pile is a household charging pile, a corresponding charging power demand index value is calculated, and if the charging pile is a public charging pile, an occupation duration penalty coefficient is calculated; s03, determining the upper limit value of the public charging power according to the occupation duration penalty coefficient of the electric vehicle at the historical moment; and step S04, setting an objective function and constraint conditions by minimizing the peak-valley difference of the total load of the micro-grid and maximizing the load smoothness, solving to obtain charging power control parameters of all the currently accessed electric vehicles, and constructing and forming an ordered charging model. According to different charging requirements of users, the user charging behavior can be dynamically optimized, the load peak-valley difference is reduced, and the power grid operation stability is improved.