3537 results about "Duty cycling" patented technology

The invention discloses a charging chip real-time power scheduling control method, and relates to the technical field of new energy automobile charging pile power scheduling, and the method comprises the following steps: S1, obtaining the operation parameters of charging equipment in real time, including the voltage fluctuation value of an input power grid, the output current of a charging interface, and the temperature of a charging chip; according to the method, the power grid voltage fluctuation, battery SOC / temperature and chip working condition multi-source data are collected in real time, a multi-target optimization model of dynamic weight distribution is combined, the service life loss of the battery is minimized, the charging efficiency and the power grid load are balanced at the same time, the user charging mode and the battery state difference are taken into consideration by adopting a priority scheduling strategy, and the charging efficiency is improved. Millisecond-level power fine control is achieved through cooperative adjustment of the PWM duty ratio and the switching frequency, personalized charging requirements are met, the overall energy efficiency is improved, a dual safety defense line is constructed through a graded load reduction protection mechanism and a fuzzy control algorithm, and a power distribution scheme is intelligently reconstructed when a power grid is abnormal or a battery is overheated.

The invention provides an intelligent scheduling control method, system and device of an optical storage hybrid inverter, and a medium, and belongs to the technical field of new energy power systems.The method comprises the steps that a scheduling controller collects the output power of a photovoltaic battery, the electric quantity state of an energy storage battery, the power grid electricity price and the load power; generating a photovoltaic power prediction value and a load prediction value by using the prediction model; solving an optimal power distribution scheme by taking economy optimization as a target to obtain photovoltaic side target power, energy storage side target power and power grid interaction target power; the duty ratio of the photovoltaic side bidirectional DC / DC converter is adjusted according to the photovoltaic side target power to achieve maximum power point tracking of the photovoltaic cell, the duty ratio of the energy storage side bidirectional DC / DC converter is adjusted according to the energy storage side target power to achieve charging and discharging power control of the energy storage cell, and the output current of the grid-connected inverter is adjusted according to the power grid interaction target power. According to the invention, efficient and intelligent control of the optical storage hybrid inverter can be realized.

Power converters including electronic-embedded transformers for current sharing and load-independent voltage gain are described. An example power converter system includes an input, an output, a power converter between the input and output, and a controller. The converter includes a first bridge, a second bridge, and an electronic-embedded transformer (EET) between the first and second bridge. The EET includes a capacitor and a capacitance coupling switch bridge. The controller generates phasing drive control signals for trapezoidal current modulation control of the capacitance coupling switch bridge of the EET. The controller is configured to generate the phasing drive control signals based on a phase shift coefficient, k, to set a duty cycle of a voltage from the capacitance coupling switch bridge. The controller is also configured to vary k from between 0 to 0.5 based on a load applied to the power converter system or other operating aspects of the power converter.

The invention provides a dynamic reconfigurable battery energy storage system balance control method and device based on PWM duty ratio modulation. Belongs to the battery system control field. Voltage information of all single batteries in the energy storage system is collected in real time, total loop current, system operation modes and temperature distribution are monitored synchronously, a controller dynamically calculates charge state values of all the single batteries based on the information, a target object to be balanced is recognized, and meanwhile a global battery consistency evaluation index is established. The method dynamically adjusts the maximum allowable equalization current and generates an equalization topology. The modulation frequency, the duty ratio spectrum amplitude and the phase distribution are adjusted through PWM, and the maximum duty ratio is limited. All the operation instruction sets take effect synchronously at the starting moment of the next equalization period. Besides, the efficiency and working condition mapping table in the historical learning library is synchronously updated to form a closed-loop self-evolution optimization mechanism, so that the balance efficiency optimization of the system in a dynamic scene is realized, and the voltage overshoot is ensured to be within a set threshold value.

The invention discloses a charging and discharging control method and device for an elevator energy storage system, a medium and a product, and relates to the field of data processing. The method comprises the steps that real-time operation data such as the position and the load capacity of an elevator car are obtained, and the instantaneous power generation power and the power change rate of a traction machine are determined accordingly; determining a power change predicted value in a future preset time period based on the parameters, and obtaining the total amount of power generation energy required to be stored by the energy storage system through zero setting of a positive value, integral operation and efficiency compensation; according to the power change rate, the state of the energy storage unit and the power grid electricity price time period, the charging and discharging priorities fed back by the super capacitor, the lithium battery and the power grid are determined; controlling the bidirectional DC / DC circuit to switch charging and discharging modes according to the priority, and adjusting the PWM duty ratio of the brake resistor; and based on the charging and discharging mode and the duty ratio, charging and discharging control over the elevator energy storage system is achieved. According to the method, the problem of inaccurate real-time matching of the dynamic load and the energy fluctuation of the current elevator energy storage system can be relieved.

The invention discloses a fan control method, an inverter and an energy storage system. The control method is used for the inverter, operation data of the inverter in different environments and when the inverter operates in multiple working modes are obtained, the operation data comprise temperature data, voltage data, power data and current data, and the temperature data are temperature data of multiple temperature detection points; respectively solving correlation coefficients of the temperature of the inverter and the external environment temperature, voltage and power of the inverter according to the operation data and a fitting algorithm; solving a target coefficient of the correlation coefficient and the rotating speed duty ratio of the fan according to the operation data; constructing a rotating speed duty ratio control equation about the fan according to the target coefficient; the target rotating speed of the fan is solved according to the rotating speed duty ratio control equation and the current operation data of the highest rotating speed inverter of the fan; controlling the fan to work according to the target rotating speed. Thus, intelligent control over the fan can be achieved under different working conditions, and energy waste is avoided while normal operation of the inverter is guaranteed.

The invention discloses an RGB LED light source calibration mode optimization method and system, and the method comprises the steps: collecting the color coordinates and brightness data of a three-primary-color light source of an RGB LED, and recording the actual optical characteristics; based on the collected data, establishing a physical model of the light mixing effect of the RGB LED light source, and calculating an initial PWM duty ratio corresponding to a target color coordinate and brightness; inputting the initial PWM duty ratio into the intelligent calibration algorithm model, and optimizing and calculating the optimal PWM duty ratio; the optimized PWM duty ratio is written into an MCU, and the MCU controls mixed light output of the RGB LED according to the written duty ratio; and testing and verifying the calibration effect of the RGB LED light source, and adjusting the parameters of the intelligent calibration algorithm model according to the test result. According to the invention, the PWM duty ratio can be dynamically optimized to realize high-precision light mixing output, and rapid repair and real-time adjustment are supported. The invention belongs to the technical field of photoelectricity, and aims to solve the core problem of the existing RGB LED light source calibration technology and improve the consistency of the light source performance and the production efficiency.

The invention provides a frying and baking equipment heat preservation automatic control method and system, and relates to the technical field of food processing equipment control, and the method comprises the steps: collecting temperature signals of different positions through a plurality of groups of thermocouples and infrared thermal imaging sensors which are arranged in a frying and baking area, constructing a dynamic three-dimensional temperature field model, and obtaining a dynamic three-dimensional temperature field model; calculating a temperature standard deviation and a maximum temperature gradient in real time according to the dynamic three-dimensional temperature field model; and when the temperature standard deviation is larger than or equal to a preset threshold value, according to the heat distribution difference of the three-dimensional temperature field model, a multi-region differential compensation strategy is generated, the power distribution proportion of each heating unit is dynamically adjusted, and the duty ratio parameter of pulse width modulation is optimized in real time. Through multi-sensor accurate monitoring, dynamic regulation and control and intelligent stop judgment, uniform and stable temperature control, energy conservation and consumption reduction are achieved, the service life of equipment is prolonged, meanwhile, the use safety of a user is guaranteed, and the cooking experience is improved.

The invention relates to the technical field of power converters, in particular to a power converter control method and device based on physical information machine learning and a storage medium. Comprising the following steps: setting up a control system; collecting, storing and preprocessing data; building and evaluating a model; model deployment; applying the model; and selecting a prediction model of the operation mode of the power converter. According to the design, physical constraint information is embedded into a loss function, a machine learning algorithm is used for mining the relation between the duty ratio, the frequency and the number of hopping pulses of a control signal and input voltage, input current, output voltage, output current and temperature, and a machine learning control model is deployed on an FPGA. The duty ratio, the frequency and the pulse hopping number of the control signal are predicted and controlled in real time; accurate modeling is performed through the nonlinear capability of a machine learning model, so that a large amount of cost can be saved, and the accuracy of the model is improved.

The invention discloses a photovoltaic hydrogen production power supply topological structure based on MPPT and a control method, and relates to the technical field of renewable energy electrolysis hydrogen production, and the photovoltaic hydrogen production power supply topological structure mainly comprises a photovoltaic power module, a direct current bus, a water electrolysis hydrogen production unit, an energy storage unit and a control unit. The photovoltaic power modules are connected in parallel to the direct current bus through the independent DC / DC converter, and are matched with the automatic identification and scheduling functions of the control unit, the system operation strategy is automatically adjusted when the modules are newly added or faults exit, and plug-and-play, fault isolation and power reconstruction of the photovoltaic power modules can be supported; the duty ratio change step length of the DC / DC converter is limited when the current rapidly fluctuates due to the change of the photovoltaic output power, the current change rate of the electrolytic cell stack is effectively controlled, the service life protection of the electrolytic cell can be considered, the high modular access capability is achieved, multi-source collaborative scheduling is supported, and bus voltage stabilization and system current sharing optimization can be achieved.

The invention belongs to the field of power electronic power conversion, and provides a coupling type three-level inverter direct current side capacitance current ripple suppression method and system, and the method comprises the steps: determining a coupling type three-level inverter space vector diagram region division method according to a virtual voltage vector duty ratio distribution factor value range; according to the amplitude, the phase angle and the three-phase output current of the reference voltage vector, the sector and the area where the reference voltage vector is located are judged; according to the sector and the area where the reference voltage vector is located, selecting a virtual voltage vector and two basic voltage vectors which are closest to each other, and respectively calculating duty ratios of the virtual voltage vector and the two basic voltage vectors; designing a controller based on a dead-beat control method according to a sector and an area where a reference voltage vector is located, a direct-current side capacitor voltage deviation given value and a direct-current side capacitor voltage deviation actual value, and updating a small vector duty ratio distribution factor to realize independent control of capacitor voltage; and designing a switch sequence based on the updated small vector duty ratio and the sector and the area where the reference voltage vector is located.

The invention relates to a temperature control method, device and equipment for a new energy automobile air conditioner and a medium, and the method comprises the steps that the environment temperature in an automobile and heater surface temperature data are collected in real time through multiple sensors, a preliminary adjusting instruction is generated in combination with the temperature preset by a user, and a power distribution strategy is dynamically optimized based on battery residual current; a duty ratio adjusting technology is adopted to carry out power control on a heater power supply circuit, overload risk grading response is realized through a grading safety threshold detection mechanism, a closed-loop feedback mechanism is further introduced, and control parameters are dynamically optimized according to real-time temperature feedback and a battery health state. And the problems of large temperature deviation of multiple regions and unbalanced battery energy consumption are solved. Through temperature-current-battery multi-dimensional fusion control, hierarchical dynamic protection and an energy consumption equalization algorithm, the driving comfort is guaranteed, meanwhile, the overload risk of the system is effectively reduced, the service life of the battery is prolonged, and the method is suitable for the intelligent safety temperature control scene of the new energy automobile air conditioner.

The invention relates to the technical field of converter starting, in particular to an LLC full-bridge converter hybrid control soft start method, comprising the following steps: selecting a hybrid soft start strategy combining down-conversion starting and PWM starting, and respectively introducing nonlinear orders of a control switch frequency decline curve in the down-conversion starting process and a duty ratio rise curve in the PWM starting process; defining a mathematical formula of the change of the switching frequency and the duty ratio along with time when two nonlinear orders are different in value; establishing a simulation model, and substituting a mathematical formula that the switching frequency and the duty ratio change along with time when the two nonlinear orders are different in value into the simulation model; performing simulation testing on the nonlinear orders with different values, extracting the maximum resonance current, and determining an order combination with the best maximum resonance current suppression effect; and performing soft start of the LLC full-bridge converter based on the determined order combination. According to the invention, the current in the soft start process can be effectively suppressed, and meanwhile, quick start and device safety are considered.

The invention belongs to the technical field of plasma sources, and provides a high-power high-stability remote plasma source fuzzy hysteresis control method and a circuit, when a reaction cavity is successfully ignited, a plasma source system is controlled to work at constant-frequency variable-duty-ratio constant-power output, and the method comprises the following steps: according to a sampled current value, a duty ratio, a predicted current value and a predicted duty ratio, calculating a constant-frequency variable-duty-ratio constant-power output value; respectively obtaining error control variables e and ec; the error control variables e and ec serve as input values of a fuzzy controller, and the actual control quantity hr output by the fuzzy controller is obtained; obtaining compensation variables # imgabs0 # and # imgabs1 # of the current and the duty ratio based on the error control variables e and ec; and taking the actual control quantity hr as the ring width value of a hysteresis comparator, and respectively compensating the current # imgabs4 # and the duty ratio # imgabs5 # at the moment k by outputting compensation variables # imgabs2 # and # imgabs3 # according to a preset rule. According to the method provided by the invention, a power window in a relatively wide range can be ensured, so that the working stability of the remote plasma source is improved, and the uniformity of a semiconductor manufacturing process is improved.

Pulsed control of electric motors, and more particularly, to selectively adjusting one or more of a pulsing frequency, an amplitude of the pulses and / or a duty cycle of the pulses for reducing Noise, Vibration and Harshness (NVH).

The invention relates to the technical field of chip design, in particular to a timing constraint automation generation method. According to the method, the actual demand of the clock needing to be created is determined based on the design document, and then the clock list is generated based on the actual demand; the content of the clock list comprises a PLL source, a clock type, a clock name, a source path, a main clock name, a main clock source path, a frequency, a main clock duty ratio, a derivative clock duty ratio, a frequency division coefficient, whether the clock has a cross-clock requirement or not, and the mutual relation between the created clocks; executing the script in a clock list which needs to be read by the configuration script and the specified script; and traversing all options in the clock list by the script, generating a time sequence constraint, and automatically finishing GCA check. According to the method, timing constraint compiling and checking can be automatically achieved through the script only by completing output of the clock list, and the method for compiling the timing constraint is accurate and easy to maintain.

The invention provides an intelligent POB module integration platform and a control method thereof, and the method comprises the steps: detecting the state data of each pixel point of an LED display screen through an optical sensing array, obtaining a damaged pixel point in the LED display screen, recording the damaged pixel point to a storage unit, and maintaining a dead pixel position table in the storage unit; compensating the brightness of the bad pixel points through the neighborhood pixel points; the display content of the LED display screen is predicted through AI during compensation, and the refresh rate of the LED display screen is dynamically driven according to the predicted display content; according to the physical pixel density, the LED display screen is divided into grid partitions, the grid partitions are sorted according to priorities, the real-time power consumption of each partition is calculated after the LED display screen is refreshed, and if the real-time power consumption is larger than a preset threshold value, the current and the duty ratio of the low-priority area are reduced. Through the control method, a compensation scheme can be started in time after a dead pixel occurs, the maintenance and replacement cost is reduced, and the operation and maintenance efficiency is improved.

The invention discloses an operation control method of a low-power-consumption off-grid inverter, electronic equipment and a storage medium, and the operation control method comprises the steps: maintaining an output switch to be in a closed state when the output current of an AC output port is detected to be greater than or equal to a first preset current threshold value under the condition that the off-grid inverter is in a no-load low-power-consumption mode, the inverter side is controlled to close driving, and the driving duty ratio of the LLC low-voltage side is adjusted to be a first preset duty ratio, so that the voltage of the bus capacitor is increased to be a preset steady-state voltage; and when it is detected that the voltage of the bus capacitor reaches the preset steady-state voltage, the inverter side is controlled to start driving. According to the low-power-consumption off-grid inverter, the output switch is kept in the closed state, the inverter side is controlled to close driving, and the driving duty ratio of the LLC low-voltage side is correspondingly adjusted, so that the impact current input by the LLC low-voltage side is reduced, the capacitor voltage stress of the LLC high-voltage side and the stress of a power device of the low-voltage side are reduced, and the reliability of the low-power-consumption off-grid inverter can be remarkably improved.

The invention provides a control method of a power conversion circuit, power conversion equipment and a power supply system. The control method can obtain a target inner phase shift duty ratio corresponding to the highest voltage matching degree according to the real-time direct-current voltage and the real-time alternating-current voltage, and obtain a reference outer phase shift duty ratio according to the real-time direct-current voltage, the real-time alternating-current voltage, the target inner phase shift duty ratio, preset target alternating-current power and power transmission constraint conditions. Adjusting a reference outer phase shift duty ratio according to the real-time alternating current and a preset target alternating current to obtain a target outer phase shift duty ratio, and obtaining a target switching frequency according to the real-time direct current voltage, the real-time alternating current voltage, the target inner phase shift duty ratio, the reference outer phase shift duty ratio, the target alternating current power and a switching frequency constraint condition, and controlling power transmission of the power conversion circuit according to the target switching frequency, the target inner phase shift duty ratio and the target outer phase shift duty ratio. According to the method, the transmission efficiency of the power conversion circuit can be improved, and the current stress can be reduced.

The invention discloses an electromagnetic valve current control method and device, a storage medium and an electronic device. The method comprises the following steps: carrying out current calibration on a controller based on a target current value at a preset temperature, and determining a first mapping table of the calibrated controller; in response to the received damping adjustment request, determining a target current value based on a target damping value carried in the damping adjustment request; determining a target duty ratio corresponding to the target current value based on the target current value and a first mapping table; and controlling the output current of the at least one electromagnetic valve to be stabilized to a target current value based on the target duty ratio and the initial duty ratio so as to adjust the damping force of the shock absorber. According to the invention, the technical problems in the prior art that the adjustment of a proportional-integral-differential controller needs a certain time and the lagging condition exists in current recovery are solved.

The invention provides an energy-saving thermal-insulation self-adaptive dynamic control method and system for frying and baking equipment, and relates to the technical field of data processing, and the method comprises the steps: 1, collecting the surface temperature distribution, thickness gradient and environment temperature and humidity data of food materials in real time, extracting three-dimensional thermal diffusion morphological features, and generating an initial morphological feature vector; and step 2, based on a real-time deviation value of a set target temperature and an actually measured food material core temperature, a pseudo partial derivative estimation value is calculated in combination with the morphological feature vector, and periodic intermittent power parameters including a duty ratio and a period are generated according to the pseudo partial derivative estimation value. Through multi-source data acquisition and analysis, parameter dynamic calculation and optimization and knowledge base intelligent matching, accurate temperature control, high efficiency and energy saving are realized, and the service life of equipment is prolonged while the food material cooking quality is improved.

The invention provides a PTC heater output power closed-loop control method and device, the method is applied to an MCU assembly of a PTC heater output power closed-loop control system, and the PTC heater output power closed-loop control system comprises a driving chip, an IGBT assembly, a PTC heater and a sampling circuit. According to the embodiment of the invention, when the updated power difference value is greater than the second preset power value, the power difference value is updated; and performing preset processing based on the updated power difference value and a closed-loop control algorithm to obtain a first duty ratio adjustment parameter, controlling the IGBT assembly to start the PTC heater according to the first duty ratio adjustment parameter by the driving chip so as to adjust the output power value of the PTC heater in real time, and returning to execute acquisition of a plurality of sampling values acquired by the sampling circuit. And performing preset calculation processing on the plurality of sampling values to obtain a sampling power value until the sampling power value reaches a target power value, thereby realizing a power closed loop and ensuring the stability of an output power value.

The invention provides a control method of a power conversion circuit and an inverter. The power conversion circuit comprises a driver, a bootstrap unit, an upper switch tube and a lower switch tube. The method comprises the steps of obtaining a target duty ratio of on-off of an upper switching tube or a lower switching tube according to the maximum loss of a bootstrap diode and the voltage of the bootstrap diode; half cycles are obtained according to the target duty ratio and the voltage of the bootstrap capacitor, and the two half cycles form a work cycle; and controlling the driver to drive the upper switch tube to be switched on at the target duty ratio in the first half period of each work period and to be switched off at the second half period of each work period, and driving the lower switch tube to be switched off at the first half period of each work period and to be switched on at the target duty ratio in the second half period of each work period, so as to charge the bootstrap capacitor. Therefore, the problem that the bootstrap diode is damaged due to overlarge impact current can be reduced.

The invention relates to the technical field of motors, in particular to a space vector modulation method of a five-phase series end winding permanent magnet synchronous motor, which comprises the following steps of: drawing voltage vector distribution; dividing a maximum modulation domain; obtaining a three-dimensional space modulation domain and a two-dimensional space modulation domain, obtaining a basic voltage vector adjacent to a sub-tetrahedron where each reference voltage vector is located and a duty ratio of the basic voltage vector, and judging whether each reference voltage vector is over-modulated or not; performing overmodulation on each reference voltage vector in the three-dimensional space modulation domain and the two-dimensional space modulation domain; if the duty ratio of the upper bridge arm is larger than 1, a double-sampling-period modulation strategy is adopted for modulation; and the switch sequence is centrally symmetrical and then input to a five-phase six-bridge arm series end winding inverter. According to the method provided by the invention, the reference voltage can be tracked with relatively high precision, the harmonic current and the zero-sequence current can be effectively suppressed, and the method has relatively high DC bus voltage utilization rate.

An electronic controller is configured to adjust the duty cycle, between a respective pairs of semiconductor switches of the primary converter of a direct-current-to-direct-current converter based on reducing or minimizing one or more of the first estimated line-to-line DC offset voltage, the second estimated line-to-line DC offset voltage, and the third estimated line-to-line DC offset voltage. Further, the electronic controller is configured determines duty cycle adjustments based on oversampling (e.g., enhanced data processing with interpolation) of smoothed or integrated representation of the first estimated line-to-line DC offset voltage, the second estimated line-to-line DC offset voltage, and the third estimated line-to-line DC offset voltage.

The invention relates to the technical field of electric scooters, in particular to a vehicle battery energy-saving control system of a high-strength impact-resistant scooter, which comprises an impact-resistant battery bin, a battery energy-saving control system and a battery energy-saving control system, wherein the impact-resistant battery bin comprises a multi-layer composite shell, a vibration sensor and a filling layer; the energy-saving control module comprises an intelligent detection unit, a central controller and a power optimizer; the power optimizer is used for adjusting the PWM duty ratio of the motor driving circuit according to the power mapping table; the energy recovery module is used for receiving brake force, a slope angle, a motor rotating speed and a vehicle mass estimation value, calculating an optimal recovery current through a Kalman filter, and injecting the recovery current into a battery pack by adopting a bidirectional Buck-Boost circuit; and the safety cooperative controller executes a hierarchical protection strategy, and a data bus is connected with each module to realize data interaction. Therefore, the problems that in the prior art, an electric scooter is insufficient in battery endurance, low in energy recovery efficiency, weak in impact resistance, poor in collaboration and the like are solved.

The invention provides a modulation and control method of a bridge arm multiplexing type FSBB-CLLLC bidirectional converter, belongs to the technical field of power electronics, and solves the problems that the modulation method of the bridge arm multiplexing type FSBB-CLLLC converter is not clear, the working principle is not clear, and the efficiency is reduced due to the fact that soft switching implementation is complex. The main circuit topology is divided into different bridge arms; different working modes of the converter during forward and reverse operation are researched by combining a bridge arm phase shift angle and a duty ratio; researching and solving the relationship between the inductive current and the phase shift angle of the converter by combining a modulation method and a soft switching condition, and establishing a three-dimensional table; according to different input and output voltage requirements, the duty ratio is determined, the optimal phase shift angle is determined after table look-up, and full-switching tube soft switching of the FSBB-CLLLC converter under voltage stabilization control is achieved.

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

The invention relates to the technical field of lithium battery charging under photovoltaic panel power supply, in particular to a Buck-Boost lithium battery intelligent charging method based on ML-MPPT and dynamic reference voltage regulation, and the method comprises the steps: dividing a charging stage into a trickle charging stage, a constant-current charging stage and a constant-voltage charging stage according to the voltage of a lithium battery; the method comprises the following steps: acquiring environment temperature, solar illuminance and maximum power point voltage data in a constant current stage, preprocessing the data, training a maximum power point voltage prediction machine learning model, distilling the model to obtain a compression model, and deploying the compression model on a microcontroller; real-time environment data is input into the model to predict and obtain the maximum power point voltage as the reference voltage, the output voltage of the photovoltaic panel is sampled, and the input voltage of the Buck-Boost circuit is controlled by using the innovative PWM control system, that is, the duty ratio of PWM pulses is controlled through the microcontroller, the input impedance of the Buck-Boost circuit is adjusted, and the output voltage of the Buck-Boost circuit is adjusted. The output voltage of the photovoltaic panel, namely the input voltage of the switching power supply, is adjusted to the maximum power point voltage according to environmental conditions; and dynamically switching the lithium battery in different charging stages according to the battery state and the input power. The method integrates machine learning into prediction of the maximum power point voltage, and is suitable for an intelligent charging scene of the lithium battery under photovoltaic power supply.

The invention relates to a current reference quantity feed-forward compensation control method and system. The control method comprises the following steps: determining a current inductive current reference value of a triangular wave type power electronic converter; obtaining a PI control component based on the current inductive current reference value; subtracting the current inductive current reference value from the inductive current reference value of the previous period to obtain an inductive current reference value variable quantity; feedforward operation is carried out according to the inductance current reference value variable quantity and the working condition parameters of the triangular wave type power electronic converter, and a feedforward compensation component is obtained; and summing the PI control component and the feed-forward compensation component to generate a duty ratio so as to realize control of the triangular wave type power electronic converter. According to the current reference quantity feed-forward compensation control method and system provided by the invention, the tracking speed of the triangular wave type power electronic converter can be improved on the premise of not influencing the control precision of the triangular wave type power electronic converter.