2245 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 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 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 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 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.

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 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 relates to the technical field of intelligent power grid and new energy automobile charging control, and discloses a low-carbon economical charging pile power dynamic regulation and control method, system and device and a medium, and the method comprises the steps: obtaining user charging parameters and preference weights, combining historical travel data to predict a departure probability, and screening an adjustable and controllable time period; collecting electricity price, carbon intensity and power grid state data in real time to calculate a dynamic regulation and control coefficient; performing standardized processing on external data and fusing user weights to construct a time period scoring function; selecting high-quality time periods to form a candidate set according to score sorting; solving an optimal power distribution scheme meeting target electric quantity and power constraint in the candidate set by taking minimization of carbon emission and power cost as a target; and finally, converting the scheme into a control instruction sequence to execute dynamic power regulation and control in real time. The method is used for optimizing electricity-carbon collaboration and user experience in the charging process.

The invention relates to the field of electric vehicle charging control, and particularly provides a system, method, device and equipment for safe communication between a charging pile and a BMS and a storage medium, the system comprises a bidirectional authentication module, a communication encryption module, a verification module and an optimization module; the bidirectional authentication module is used for constructing a bidirectional authentication protocol between the charging pile and a battery management system (BMS) based on the hardware security module and authenticating the identity; the communication encryption module is used for customizing an integrated transport layer security protocol line through an open source tool and encrypting security communication data; the verification module is used for designing a three-level verification mechanism, blocking a malicious firmware injection path and verifying a secure communication process; and the optimization module is used for optimizing the key process by adopting a redundant backup scheme deployed in a containerization manner. Through the system, the effect of a safe communication process between the charging pile and the BMS can be realized.

The invention discloses a boost charging control method and device. The method comprises the following steps: acquiring an insulation detection voltage of a charging pile and a maximum allowable voltage of the charging pile; if the charging pile insulation detection voltage and the charging pile maximum allowable voltage meet a preset judgment condition, the vehicle is controlled to enter a direct connection charging mode; in the direct connection charging mode, the current voltage of a vehicle battery pack is obtained; and if the current voltage of the battery pack meets the preset switching condition, the vehicle is controlled to be switched from a direct connection charging mode to a boost charging mode. According to the method, intelligent and accurate judgment of the output capacity of the charging pile is achieved, a dynamic optimization charging strategy is implemented in the single charging process, and the problems that the charging compatibility of a high-voltage platform vehicle type is poor, and the charging efficiency is limited by a traditional boosting scheme are solved.

The invention discloses an emergency energy storage cabin with a multi-source power generation intelligent switching function and a power supply control method thereof, and relates to the field of emergency energy storage, and the energy storage cabin comprises a photovoltaic power generation device which is arranged at the top and can stretch and unfold a photovoltaic panel, a hydrogen energy storage power generation device connected with a bus, and an energy storage battery pack, in cooperation with the voltage and current sampling circuit and the illumination sensor, the controller controls switching among the power supplies according to acquired signals. The switching priority is photovoltaic power generation priority, the energy storage battery pack is subordinate, and the hydrogen energy storage power generation device is the last standby; the system is provided with a current limiting element, a pre-charging control unit and a graded load management function, and can cut off non-critical loads and supply critical loads in turns when a power supply is insufficient. The interior of the cabin can integrate water purification, hydrogen production, hydrogen storage and air conditioning modules. According to the method and the system, intelligent switching of multi-source energy, key load guarantee and continuous energy supply in an emergency environment are realized.

The invention discloses a mobile phone pole charging heat-electricity multi-mode fusion safety protection system based on deep learning, and relates to the technical field of charging control, and the system comprises a handshake echoing module which completes the pole charging handshake of a mobile phone and an adapter, then the mobile phone issues a tentative pulse packet, and the tentative pulse packet is outputted by the adapter in order to form first-round echoing data; the instruction encoding module is used for sending the first-round echo data and the simplified hot area schematic diagram into a neural echo encoder together to generate a safety ripple instruction set and a partition allocation table; and the contrasting and revising module is used for contrasting and rewriting the echo index and the execution receipt in the first-round echo data item by item and generating a revised safety ripple instruction set and a partition allocation table. According to the method, a neural echo encoder is utilized to perform conjoint analysis on first-round echo data and a simplified hot area schematic diagram, a safety ripple instruction set facing an adapter side and a partition allocation table facing a battery side are generated, and integrated output of a charging pulse sub-palette shape and a space rotation bearing strategy is realized.

The invention relates to the technical field of unmanned aerial vehicle charging control, and discloses an unmanned aerial vehicle charging control method and control system. The method comprises the following steps: after responding to an unmanned aerial vehicle charging request, starting a charging control flow comprising an environmental parameter acquisition stage and a battery state initialization stage; and after the charging connection is established, the adaptive observer executes system state estimation and external disturbance estimation in parallel based on the acquired environmental parameters and the initialized battery state. And dynamically adjusting a charging strategy according to the estimated real-time result, including refreshing a power control signal and activating a compensation mechanism, and cooperatively controlling the energy output of the charging equipment according to the power control signal and activating the compensation mechanism until the battery reaches a predetermined charging target. According to the method, through dual consideration of the environment and the battery state and in combination with a parallel estimation and dynamic adjustment mechanism, the charging process can accurately match the battery requirement of the unmanned aerial vehicle, various interference factors are effectively coped, the reliability and the adaptability of the charging process are improved, and a brand new solution is provided for efficient charging of the unmanned aerial vehicle.

The invention discloses a non-contact charging pile interaction method and device and a medium, belongs to the technical field of charging piles, and aims to solve the technical problems that non-contact interaction of existing charging piles has certain limitation, user intentions are difficult to understand, and the accuracy of action recognition is low. The method comprises the following steps: performing preliminary wake-up control on a charging pile system to obtain a wake-up control strategy; performing dual verification of the optimal interaction area and the gesture action on the user to obtain an operable control strategy; performing motion analysis on the wrist action of the user, and generating a charging adjustment control strategy based on a charging power value identified by the wrist action; performing security payment control under two-factor authentication on the gesture action of the user to obtain a security payment control strategy; and based on a wake-up control strategy, an operable control strategy, a charging adjustment control strategy, a safety payment control strategy and an environment self-adaptive control strategy, non-contact charging control of the user on the charging pile system is completed.

The invention provides an interactive control system and method for a power module and an overcharge pile, a storage medium and a computer program product, and the method comprises the steps: obtaining a charging control parameter according to the input time sequence state data of a battery through a charging control parameter prediction model based on deep learning; generating a power instruction according to the charging control parameter and sending the power instruction to the power module; after the power supply module executes the power instruction, an instruction execution result and battery state data are transmitted back to the overcharge pile main control software; and the overcharge pile main control software adjusts the weight of the charging control parameter prediction model according to the received data or regenerates a power instruction based on the latest battery time sequence state data. According to the invention, the charging time can be shortened, the risks of overheating, overcharging and the like can be prevented, different battery states and complex working conditions can be adapted, and the real-time requirement of an overcharging scene on a control instruction and state data can be met.

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 discloses an electric vehicle charging management method based on an HA-SAC algorithm, and the method comprises the steps: firstly, carrying out the modeling of an electric vehicle charging management optimization model through fully considering the life loss of a transformer and the charging preference of a user; modeling a charging management optimization problem as Markov Game (MG for short), taking each electric vehicle as an independent intelligent agent, constructing a state space according to information such as the charging state, the electricity price and the user preference, and taking the charging power as an action variable; then, on the basis of an HA-SAC algorithm, a local action network and a centralized evaluation network are constructed for each agent, and centralized training is carried out through global information; and finally, the trained strategy is deployed to each electric vehicle agent node, so that the electric vehicle agent node can autonomously decide a charging behavior only by depending on local information in actual operation, and distributed and privacy-protected cooperative charging control is realized.

The invention discloses a quick charging safety control method for a mobile power supply, and particularly relates to the technical field of charging control of an electrochemical energy storage device. The method is started when a charging adapter is connected after the mobile power supply completes high-power discharging, and an ion relaxation index is obtained through open circuit detection; entering rhythm cycle control of charging-charging stopping-measuring, and limiting current according to risk levels; the charging current and the charging stopping duration are adjusted in a self-adaptive mode according to the ion relaxation index and the terminal voltage change rate in the circulation, finally, when the index is stabilized within the safety range, the constant-current and constant-voltage charging stage is smoothly switched, and safety control over rapid charging is achieved; according to the method, the distribution state of the battery cell ions is accurately detected before charging, current is limited in a graded mode according to risk grades in rhythm slow start, dynamic optimization of the charging current and the charging stopping duration is achieved in combination with self-adaptive adjustment, a constant current stage and a constant voltage stage are smoothly switched to when the state is stable, and safety and efficiency are both considered in the whole process.

The invention discloses an intelligent charging management system of a new energy automobile, and relates to the technical field of charging control of the new energy automobile, and the system comprises a user identification and authentication module which supports three authentication modes, account association related information and authentication encryption transmission; the charging demand prediction module collects multiple types of data, and predicts charging related parameters through a fusion algorithm; the charging pile and battery state monitoring module collects various operation data in real time; the power grid load sensing module collects power grid information and synchronizes peak and valley periods; the charging strategy optimization module dynamically adjusts a charging scheme in combination with multi-source data; the safety protection module has six protection functions and a fault diagnosis capability; the data storage module adopts a distributed database and an encryption technology; the man-machine interaction module supports multiple operation modes and displays key information; and the communication coordination module is responsible for multi-terminal data interaction and protocol conversion. According to the invention, intelligence and accuracy of charging management are improved, safety protection and data safety are enhanced, and multi-scene charging requirements are met.

The invention discloses a charging control method, a charging aggregation service platform and a system, the method is applied to the charging aggregation service platform, and the method comprises the steps: generating a charging order based on a charging request of a user, and initiating the charging request to a charging operation system, the charging operation system tries to start a charging pile corresponding to the charging request; and in the stage of starting the charging pile, adaptive management and control are performed on the charging order according to the starting state of the charging pile.

An electric vehicle charging control device includes an electronic dynamic charging schedule generator, a non-transitory computer readable medium and an electronic communicator. The non-transitory computer readable medium stores vehicle profile data and building profile data. The electronic communicator is configured to receive profile updates to the vehicle profile data from an electronic user interface. The electronic controller is programmed to generate a driver charging profile based on the vehicle profile data and the building profile data. The electronic controller is programmed to update the driver charging profile based on the electric vehicle user's behavior. The electronic controller is programmed to generate a charging schedule for the electric vehicle based on the updated driver charging profile. The electronic controller is programmed to controlling the charging port in accordance with the charging schedule upon the electric vehicle user confirming acceptance of the charging schedule on the electronic user interface.

The invention discloses a high-dimension state space dimension reduction method and system for large-scale electric vehicle charging. The method comprises the following steps: constructing input data for electric vehicle charging control, wherein the input data comprises vehicle information Xi and scheduling information Dt; for Xi, adopting MLP as a vehicle-by-vehicle encoder to realize local nonlinear mapping of vehicle-level features; inputting the same group of MLP weights into all vehicle states in sequence, and completing dimensionality reduction coding through multilayer affine transformation and a nonlinear activation function; after the vehicle-by-vehicle sharing encoder completes local feature mapping, a low-dimensional representation set of all accessed vehicles at the moment t is obtained; and splicing and mapping the aggregation result and the global scheduling information into a compression vector. According to the scheme, through a layered structure of local coding and global aggregation, key difference information between vehicles is effectively reserved, the problem of state explosion is remarkably relieved, and compact input representation with sufficient information is provided for subsequent reinforcement learning strategy optimization.

The invention discloses an intelligent control method and system for rapid charging of a lithium ion battery, and relates to the technical field of battery charging, and the system comprises a state monitoring module, an evaluation module, a parameter adjustment module, a prediction module, a charging control module, a safety protection module and a central processing unit. According to the method, the voltage, current, temperature and internal resistance data of the battery are collected in real time through a multi-source sensor, the health state of the battery and the charging state evaluation result are fused, the charging parameters are dynamically adjusted through fuzzy logic and PID control, then the optimal charging curve is predicted, and a multi-stage self-adaptive charging protocol is implemented; and finally, full-process safety control is realized through deep learning fault diagnosis and a multi-stage protection mechanism, intelligent perception, dynamic decision and closed-loop control are realized, and the charging speed, the battery life and the safety are effectively improved.

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.

The invention discloses a new energy automobile charging process inspection, diagnosis and charging integrated system, and relates to the technical field of new energy automobile charging control. The system comprises a central analysis module and a plurality of chargers connected with the central analysis module. The method comprises the following steps: collecting environmental data in real time through a charger, combining the environmental data with a battery state by a battery management module, and matching a power correction coefficient based on a lookup table or an artificial intelligence model to determine a target power upper limit; meanwhile, the central analysis module groups the chargers according to target power upper limit change and distributes the surplus capacity of the power station in proportion; according to the method, power is corrected through two dimensions of environment and battery state, limitation of single parameter correction is avoided, safety risks of coupling of an extreme environment and battery aging are effectively avoided, and charging safety is guaranteed; power is distributed according to dynamic grouping and proportion, the problem of capacity waste or overload of traditional unified distribution is avoided, and the capacity utilization rate of the charging station is improved.

The invention relates to the technical field of charging pile control, in particular to an intelligent charging control method and system for a charging pile. The method includes: acquiring running state information of a power component in the charging pile; when the charging pile is switched from the constant-current charging mode to the constant-voltage charging mode, generating a power regulation strategy instruction executed by the charging pile according to the health state evaluation value, and transmitting the running state information and the power regulation strategy instruction to a battery management system of the vehicle; and the battery management system of the vehicle receives the operation state information and the power adjustment strategy indication, and adjusts the judgment logic of the battery management system on the power output fluctuation of the charging pile according to the health state evaluation value, the expected power fluctuation range and the power adjustment strategy indication. The problems that in the long-term operation of an existing charging pile, performance degradation of internal power components causes charging stability decline, and especially when a constant-voltage mode is switched to a constant-voltage mode, misjudgment of a vehicle battery management system is likely to happen, and charging is interrupted are solved.

The invention discloses a lithium battery first-order RC-ECM fractional order chaotic system parameter identification method. The method comprises the following steps of defining a lithium battery first-order RC-ECM mathematical model by adopting Captop's fractional order differential; selecting a first-order RC-ECM model to describe the dynamic characteristics of the lithium battery in the working process, and establishing a first-order RC-ECM model fractional order mathematical model by adopting Captop's fractional order differential; a charge-controlled memristor, a resistor, an inductor and a first-order RC-ECM are adopted to establish a four-dimensional fractional order chaotic system; carrying out balance point analysis, dissipative and attractor existence analysis, Lyapunov exponential spectrum analysis and Poincare cross section analysis on a first-order RC-ECM fractional order chaotic system; a, B and D unknown parameters in a first-order RC-ECM fractional order chaotic system are identified by adopting a state observer, and then unknown parameter values in the first-order RC-ECM are further derived by utilizing a formula. Meanwhile, the influence of environment temperature, driving road conditions, load conditions and battery material conditions is avoided.

The invention provides a lithium ion battery rapid charging control method and related equipment, and relates to the technical field of battery charging control, and the method comprises the steps: building a state vector based on an acquired external measurable signal and an internal state of a target lithium ion battery; simulating the target lithium ion battery through a constant-current charging experiment or a high-fidelity single-particle model, recording the charging cut-off voltage when the target lithium ion battery reaches the target charge state in different health states, and obtaining the maximum allowable charging voltage; designing a multi-target reward function by taking the maximum charging voltage as a constraint condition, and calculating a feedback value under the current state vector according to the multi-target reward function; inputting the state vector into a reinforcement learning agent to output continuous actions, and optimizing the reinforcement learning agent by using a feedback value under the current state vector to obtain an optimal charging control strategy of the target lithium ion battery; and rapid charging is realized on the premise of ensuring safety and prolonging the service life.

The intelligent swimming pool cleaning machine charging and discharging management system based on the multi-element power source comprises a control module, a detection module, a power source path switch module and a charging module, and the detection module collects voltage and current signals of an external power source and voltage and current signals of a battery in real time; the control module automatically identifies the working mode of the swimming pool cleaning machine based on the voltage signal acquired by the detection module; the power supply path switch module is connected with the control module, and connects or disconnects an external power supply channel and a battery power supply channel according to the path control signal; and the charging module is connected with the control module and the battery, and charges the battery by using an external power supply according to the charging control signal. The model-battery-scene full-dimension self-adaptive management of the swimming pool cleaning machine energy system is realized for the first time, and the technical problems of difficult model adaptation, poor battery compatibility and limited scene application are effectively solved.