3380 results about "Charge current" patented technology

The invention discloses a battery charging monitoring and adjusting system based on multiple areas, and relates to the technical field of battery management. According to the system, electrochemical impedance spectroscopy, infrared thermal imaging and electric heating parameters are synchronously collected, a physical connection and heat conduction topological relation of a battery pack is constructed in combination with a graph neural network, and monomer aging distribution and a cross-regional heat diffusion path are accurately recognized. Based on multi-region data aggregation, battery health protection, temperature equalization and a power grid demand target are fused, and charging current constraint and equalization priority parameters are dynamically generated. And through a fuzzy control algorithm, an active energy transfer mode and a passive risk isolation mode are intelligently switched, the energy distribution efficiency is optimized, fault spreading is blocked, the risk level of the system is evaluated in real time, a hierarchical regulation and control instruction is triggered, and the weight is dynamically adjusted and optimized through a feedback mechanism. The problems of extensive monitoring, strategy stiffness and safety response lag of a multi-area battery system are solved, the charging safety and economy in a complex scene are remarkably improved, and the service life of the system is remarkably prolonged.

The invention relates to an electric energy comprehensive management control method for high and low load working conditions, and belongs to the field of energy supply system control. The method comprises the following steps: acquiring current operation information of an energy supply system, including a working condition mode, a target power demand and a battery state of charge (SOC) value, and further judging a working condition type and calculating a total power demand value of the system; on the basis, a power distribution scheme of a power generation unit and a battery is judged according to an SOC value and a power demand: under a normal working condition, the balance of power generation and battery charging and discharging is realized by setting an SOC threshold interval, and under an emergency working condition, the maximum rate discharging of the battery is dynamically controlled or the charging current is limited to cope with load fluctuation. According to the system, the bus voltage and the SOC are maintained in a safe range through a closed-loop regulation mode, so that the stability and the response capability of the energy supply system are improved.

The invention discloses a series lithium battery pack power supply equalization management method. The method comprises the following steps: acquiring an original data set of a series lithium battery pack; calculating a voltage change rate, a temperature sudden rise rate and an internal resistance fluctuation amplitude, and obtaining a dynamic feature set of battery operation; when the dynamic feature set exceeds a corresponding preset threshold value, obtaining a short-circuit risk assessment result; matching a pre-established battery pack topological structure diagram with the short-circuit risk assessment result, determining a target battery identifier needing to be isolated, generating an isolation instruction by adopting a relay control algorithm, and completing the isolation of the short-circuit battery; adjusting the charging current distribution of the updated battery pack through an equalization management algorithm to obtain equalized battery operation parameters; and if the voltage, temperature and internal resistance data of the residual single batteries are all in a normal range, determining that the system stability is recovered, and obtaining a final running state of the battery pack. The short-circuit risk of the lithium battery pack can be effectively prevented, and intelligent management and safety improvement of the battery pack are realized.

The invention relates to the technical field of battery management, in particular to a charging type mobile power station remote monitoring and analysis system which comprises a battery pack state monitoring module, a monitoring path adjusting module, a partition monitoring and energy dispatching module, an energy distribution module and a charging efficiency optimization monitoring module. According to the invention, through refined battery level monitoring and health state analysis, the real-time performance and accuracy of battery management are improved, the voltage, current and SOC parameters of the battery are monitored in real time, the health state of the battery is comprehensively evaluated, the monitoring path and the monitoring frequency are dynamically adjusted, resource allocation and efficiency maximization are ensured, the energy distribution difference between the battery packs is accurately identified, and the battery management efficiency is improved. By adjusting the charge and discharge flow, avoiding over-charge and over-discharge, improving the stability and service life of the battery and optimizing the charging current distribution and the charging plan, efficient charging is realized, the energy utilization efficiency is improved, the response speed and precision of the whole system are improved, a more intelligent and personalized solution is provided, and the requirements of different application scenes are met.

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.

The invention discloses a lithium battery thermal runaway active protection method and system combined with self-supervised learning, and relates to the technical field of thermal runaway protection, and the method comprises the steps: detecting the dynamic impedance of a battery through a high-frequency excitation signal; learning data internal distribution characteristics by comparing loss functions; constructing a generator to simulate early-stage characteristics of thermal runaway, and optimizing the sensitivity of a simulation model to an abnormal mode through a discriminator; the early warning value is updated in real time to adapt to battery aging and working condition changes; establishing a multi-physics field coupling model; the simulation data and real experiment data are fused; dynamically adjusting the charging current based on the battery health state; and positioning a thermal runaway fault unit through the graph neural network. By arranging the abnormity simulation module, the self-supervised learning module and the model building module, abnormal signals in the early stage of thermal runaway are found in advance, active protection is achieved, battery aging and working condition changes are adapted, and the accuracy and reliability of early warning are improved.

The invention discloses an intelligent charging and discharging management method and system for a lithium battery, and the method comprises the steps: collecting multi-dimensional parameter data of the lithium battery, and generating a data set with a timestamp; and analyzing the data features based on the battery type classification model, and determining a battery type identifier. And utilizing the recurrent neural network to model the relevance between the capacity attenuation and the health state, and predicting the residual capacity and the health score. If the capacity or health score is lower than the threshold value, extracting the environment temperature and the load demand to generate a temperature-load feature vector; and matching the candidate strategy set from the pre-established index database through the hash table. And distributing weights according to health scores and load demands, sorting strategy efficiency and life influences by adopting a linear regression model, and screening an optimal strategy. And if the strategy calculation complexity exceeds the equipment capability, iteratively optimizing parameters by utilizing a genetic algorithm, simplifying a strategy instruction, generating a charging current, a voltage curve and a discharging rate control instruction, and executing the charging current, the voltage curve and the discharging rate control instruction in real time by a battery management system. The method prolongs the service life of the battery and improves the charge-discharge efficiency.

The invention relates to the technical field of current compensation, and discloses a current compensation strategy and a compensation system for improving the direct current fast charging rate of an electric automobile. According to the scheme, the total current of a high-voltage loop and the input current of a battery are detected in real time, the dynamic load current difference value is calculated, and the battery health state and historical charging data are combined; and the charging pile request current value is adaptively adjusted to counteract the shunting influence of the load power. Meanwhile, a closed-loop feedback regulation mechanism is adopted, a compensation coefficient is corrected in real time through a PID algorithm, and the stability of the charging current is ensured. When the power of the charging pile is limited, the system dynamically reduces unnecessary loads (such as an air conditioner and a heater) according to a preset priority request, and the charging power of the battery is guaranteed preferentially. The charging rate is improved (the charging time is shortened by 10%-15%), the adaptability of the system to dynamic load fluctuation is enhanced, and the service life of the battery is prolonged.

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

The invention relates to the technical field of vehicle intelligent monitoring, and particularly discloses a vehicle full life cycle-oriented charging safety early warning method and system, and the method comprises the steps: collecting real-time data through an electric core level sensor, and calculating voltage, temperature and current fluctuation coefficients, thereby obtaining a safety coefficient in a charging process; comparing the real-time data with historical data, judging the attenuation degree of the health state of the battery cell, and calculating an attenuation coefficient; a comprehensive risk index is calculated by comprehensively analyzing the safety coefficient and the attenuation coefficient, and then the risk level in the charging process is judged and divided into a high-risk mode and a low-risk mode; for a high risk level, early warning measures are triggered in time, such as sound or visual alarm, automatic charging stopping and the like; and under the condition of low risk, the charging strategy is optimized, the charging current and voltage are adjusted, the charging efficiency is improved, and the service life of the battery is prolonged.

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 provides a vehicle battery health state assessment method and system based on a charging pile, and the method comprises the steps: collecting the electrical parameters in the connection process of the charging pile and a vehicle, marking a key event, carrying out the decomposition processing of a charging current waveform, obtaining a basic charging current component and a pulsation component caused by an equalization circuit, generating a basic charging current curve and a cell consistency index; current response characteristics in different charge state intervals are calculated based on the basic charging current curve, correction is carried out in combination with the power distribution state of the charging pile, and current response parameters of the battery are obtained; and combining the current response parameter and the cell consistency index with a historical charging record to form a time sequence feature, and performing comparative analysis on the time sequence feature and a preset reference mode to obtain a current health state index of the battery. According to the invention, the health state of the battery can be accurately evaluated in a multi-vehicle parallel charging environment, the consistency problem of the battery cells can be identified, and the evaluation service of the health state of the battery is provided for the electric vehicle.

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

The invention discloses a lithium battery life prediction method and device based on data analysis. The method comprises the following steps: acquiring charging current, discharging current, battery voltage and timestamps of recorded data of each complete charging and discharging cycle; performing data analysis according to the charging current, the discharging current and the timestamp, and constructing a charging and discharging current sequence; performing voltage fluctuation amplitude analysis according to the timestamp, the charging and discharging current sequence and the battery voltage to obtain a voltage jump characteristic; performing fluctuation characteristic analysis according to the voltage abrupt change characteristic to obtain a voltage fluctuation characteristic; performing correlation analysis according to the charging and discharging current sequence to obtain an optimal charging and discharging current sequence; calculating a voltage attenuation factor according to the voltage fluctuation characteristics and the optimal charging and discharging current sequence; and according to the optimal charging and discharging current sequence and the voltage attenuation factor, constructing a life prediction model, and according to the life prediction model, calculating the residual cycle index, the future battery voltage and the battery life. The method can accurately predict the service life of the lithium battery.

A direct current fast charging (DCFC) control system for a range extended electrified vehicle (REEV) includes a set of DCFC connectors electrically connecting a high voltage battery system of an electrified powertrain of the REEV to a charging port of the REEV and a control system configured to determine an ambient temperature external to the REEV, access a temperature model configured to model a temperature associated with the set of DCFC connectors, wherein the temperature model accounts for heat energy generated by an engine of the electrified powertrain, determine, using the temperature model, a modeled temperature associated with the set of DCFC connectors, and control, based on the ambient temperature and the modeled temperature associated with the set of DCFC connectors, a DCFC current provided by an external DCFC station to a high voltage battery system via a charging port and the set of DCFC connectors.

A circuit device includes a current source circuit, a first charging circuit that supplies a first charging current to a charging node, a second charging circuit that supplies a second charging current to the charging node, and a control circuit that sets a current value of the first charging current and the second charging current, based on a current setting value. When the current setting value is in a first range, the first charging circuit supplies the first charging current. When the current setting value is in a second range on a higher current side, the second charging circuit supplies the second charging current. At switching between the first range and the second range, the first charging circuit supplies the first charging current and the second charging circuit supplies the second charging current.

The invention relates to the technical field of power allocation, and discloses a power allocation method and system for a liquid cooling charging pile, and the method comprises the steps: collecting the charging power data, liquid cooling temperature data, charging voltage data, charging current data and liquid cooling flow data of the liquid cooling charging pile, and carrying out the signal processing, obtaining a charging operation standard data set; performing non-uniform time delay characteristic analysis on the charging operation standard data set, and calculating time sequence correlation through a joint mutual information criterion to obtain charging power time characteristic data; inputting the charging power time characteristic data into a charging power prediction model for charging power prediction to obtain charging power prediction data; and performing proportional robust diffusion recursion operation on the charging power prediction data, and performing parameter optimization in combination with a hyperbolic cosine function to obtain a dynamic power control parameter. According to the invention, the robustness of power allocation is improved, and the power allocation of the liquid cooling charging pile is more accurate and efficient.

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

A soft start circuit of a synchronous boost DC-DC converter is used for restraining current overshoot and voltage overshoot of the synchronous boost DC-DC converter in the starting process and comprises a first soft start module and a second soft start module. The first soft start module belongs to system open-loop work, and suppresses a channel length modulation effect through the same drain end voltage of a clamping matching tube and a power upper tube, so as to obtain a precisely controlled charging current. A second soft start module belongs to system closed-loop work, and the method comprises the following steps: in the first stage, VOUT partial voltage is synchronized; in the second stage, constant-current charging is carried out; and in the third stage, the error amplifier vref rises gently through preset voltage RC charging. According to the invention, current overshoot and voltage overshoot are effectively suppressed through two soft start stages, and the starting circuit has a wide application prospect in the field of starting circuits.

The invention relates to the technical field of storage battery charging, in particular to a multi-stage power storage battery charging control method and system based on intelligent dynamic adjustment. According to the invention, the pre-charging current is determined through the battery health state value and the initial SOC of each single battery, so that the single batteries are pre-charged through the pre-charging current which is individually designed, and after the pre-charging stage is finished, the constant-current charging current is determined according to the first SOC so as to carry out constant-current charging. The constant-current charging current is made to be matched with the current state of each single battery, then a second SOC of each single battery after constant-current charging is finished is obtained, after it is indicated that the single battery is charged to be close to the full-charge state through the second SOC, a constant-voltage charging voltage is obtained for the second SOC of the single battery to conduct constant-voltage charging, and meanwhile electric quantity transferring is conducted on the single battery; finally, whether the electric quantity of the battery pack is balanced or not is judged, and if the electric quantity is not balanced, the SOC difference between the single batteries is gradually eliminated by continuously optimizing the charging process.

The invention discloses a direct current charging and discharging control system and method, and relates to the technical field of battery charging and discharging, and the system comprises the steps: monitoring the input and output voltage and current, the battery state parameters and the environment temperature in real time; judging whether the charging and discharging control mode is a charging mode, a discharging mode or a mixed mode according to the analysis result; if the charging mode is determined, the charging current is dynamically adjusted based on a self-adaptive closed-loop control unit; if a discharging mode is determined, dynamically distributing a discharging current based on a load grading strategy and the residual electric quantity of the battery; and if it is judged that the mode is the mixed mode, charging and discharging parallel control is carried out through the dynamic power distribution unit. The technical problems that in the prior art, a charging and discharging control strategy is single, complex and changeable working conditions cannot be adapted, and key parameters are difficult to accurately monitor in real time to achieve efficient battery management are solved, and the technical effects of improving the energy utilization efficiency and enhancing the equipment operation stability and reliability are achieved.

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

A system detects degradation of battery health due to fast-charging and controls charging of the battery and / or provides indications of battery health while fast-charging. The system includes remove a battery charging circuit that controls a charging voltage waveform to supply charging current to a battery and a detection circuit that monitors a rate of change of the charging current and controls the charging voltage waveform responsive to an output of the detection circuit.

The invention provides an abnormal power failure diagnosis method and device, and relates to the technical field of power failure diagnosis, the device comprises an MCU, the MCU is connected with a selection switch through a line, and one end of the selection switch is provided with a capacitor. Hardware hidden dangers can be eliminated at the beginning of power-on through hardware self-inspection in the system pre-starting stage, and it is guaranteed that operation baselines of the whole delay power supply module and the MCU are correct; according to the following capacitor energy charging function, a super capacitor is connected in parallel to the 12V low-voltage power supply side, and the charging current and voltage slope are monitored in real time, so that even if the capacitor stably and safely stores enough energy, overcharge damage is prevented, and monitoring is interrupted by data heartbeat of an MCU and a BMS master controller and power-down cmd, it is ensured that the system can sense a power-off instruction in time at any time, and the power-off state of the system is ensured to be stable and reliable. And persistent storage of the key operation parameters is completed in an atomicity write-in mode, so that the data loss risk caused by communication timeout or software faults is greatly reduced.

The invention relates to the technical field of data processing, and provides an intelligent optimization method and system for a battery charging strategy, and the method comprises the steps: obtaining the historical charging and discharging data, environment parameter data and battery health state data of a battery, generating a battery operation data set, constructing a multi-dimensional charging characteristic spectrum, carrying out the weighted analysis of different charging characteristics, and carrying out the calculation of a multi-dimensional charging characteristic spectrum. Performing dynamic adjustment on the charging current and the charging voltage of the battery based on the charging strategy to obtain charging data; and updating the charging characteristic spectrum according to the charging data, and readjusting the charging strategy based on the updated charging characteristic spectrum to obtain an optimized charging strategy. Through a multi-iteration charging strategy, charging current and charging voltage are dynamically adjusted through real-time data in a complex and changeable charging environment, and the problem that the optimization of the charging efficiency and the service life of the battery is insufficient due to the fact that self-adaptive adjustment cannot be achieved in the face of the complex and changeable charging environment and different health states of the battery is solved.

The invention relates to the technical field of pulse resistance measurement, in particular to a Poe-based pulse type charging and discharging battery internal resistance measurement method. The method comprises the following steps: acquiring a total current state signal and a charging state signal of a battery pack in real time through a controller, and analyzing the total current state signal and the charging state signal to obtain a charging mode identifier; judging whether the battery pack is in a charging state or an idle state based on the charging mode identifier, if the battery pack is in the charging state, activating a bus power supply mode, and acquiring module working electric energy from a control bus through a Poe network interface; and when the charging state is judged, controlling the pulse injection unit to superpose high-frequency pulse charging current to the battery pack, and synchronously acquiring voltage transient data and current waveform data in a pulse action period according to the working electric energy of the module. Through high-frequency pulse charging and discharging, real-time internal resistance calculation and dynamic state monitoring, the problems of hysteresis, insufficient precision and difficult state judgment in traditional battery internal resistance measurement and health assessment are solved.

The invention discloses a mobile phone data line performance test and fault prediction method and system, and belongs to the technical field of electronic product detection and fault prediction. The power-on resistance, the voltage stability, the charging current response and the data transmission rate of a target data line are collected, and under the conditions of different bending angles, insertion and extraction cycles and environment temperatures, the data transmission rate of the target data line is calculated; acquiring stress response data, and extracting multi-dimensional stress principal component characteristics; the electrical property and stress data are fused, a performance degradation correlation model is established, and coupling modeling of data line internal structure damage and electrical property degradation is achieved; historical use data are input, analogue simulation is carried out through the model, and residual performance indexes are generated; judging whether a fault risk exists or not according to a set threshold value, and outputting early warning information if the fault risk is lower than the threshold value; meanwhile, a fault position and a mode type are inferred in combination with an internal characteristic spectrum of the model; the method has high prediction precision, strong structural adaptability and good expansibility, and is suitable for quality control and intelligent diagnosis of consumer electronic cable products.

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

To generate a charging path for a battery, a method includes generating simulation data for charging currents based on a battery model indicating an internal state of a battery, generating an initial look-up table (LUT) for the charging currents and preset battery voltage limits based on the simulation data, the initial LUT representing initial charging limit conditions of the battery for stages corresponding to the charging currents, generating a modified LUT by adjusting at least one of the initial charging limit conditions of the initial LUT, in response to the initial LUT failing to satisfy a threshold, determining a final LUT based on the modified LUT, in response to the modified LUT satisfying the threshold, and generating a charging path for the battery based on the final LUT.