2498 results about "Constant voltage" patented technology

The invention discloses a control system for lithium battery power management, and relates to the field of lithium battery control, and the system comprises a voltage input module which is used for externally connecting voltage and supplying power to a battery power supply module and a time delay module; the battery power supply module is used for charging the battery; receiving the battery voltage information, and adjusting the voltage output to the battery according to the battery voltage; the battery module is used for a battery to store electric energy; compared with the prior art, the system has the beneficial effects that the output voltage of the battery power supply module is adjusted through the feedback module, the output voltage of the battery power supply module is relatively large at the beginning, and the charging voltage is reduced along with the increase of the battery voltage, so that a quick charging effect is constructed; whether battery charging is abnormal or not is detected through the time delay module and the charging fault detection module, the battery power supply module is adjusted to perform constant-voltage charging when charging is abnormal, and the battery charging effect is guaranteed.

The invention discloses a power supply method and a power supply system for on-line monitoring equipment of a lightning arrester, and the method specifically comprises the steps: activating a multi-source energy module according to a preset priority order based on the operation state and environment parameters of the lightning arrester, and supplying power to the on-line monitoring equipment; based on the output characteristics of the multi-source energy module and the residual electric quantity of the on-line monitoring equipment, a constant voltage-constant current hybrid power supply strategy in a conventional mode or an anti-interference power supply strategy in an abnormal mode is executed on the on-line monitoring equipment; and processing the historical leakage current, environmental temperature and humidity and vibration spectrum characteristics of the lightning arrester acquired by the online monitoring equipment through the LSTM prediction model, predicting the energy supply trend of the online monitoring equipment in the preset future time, and dynamically adjusting the working parameters of the online monitoring equipment according to the energy supply trend. According to the invention, stable power supply of the lightning arrester on-line monitoring equipment in a complex environment is realized, and the power supply reliability and the equipment availability are improved.

The invention discloses an optimized reactive power control and fault ride-through method and system for a hybrid commutation converter, and the method comprises the steps: introducing reactive power control and considering the constant voltage control of negative turn-off angle limitation, achieving the control of an extremely low turn-off angle through the active turn-off of a full-control device in the converter under a steady-state working condition, and further meeting the demands of a high power factor; the investment of passive filter equipment is reduced; under the alternating current fault working condition, forced commutation and negative turn-off angle operation are achieved through active turn-off of a full-control device, the receiving end power grid voltage is effectively supported while commutation failure of a half-control thyristor in the hybrid commutation converter is avoided, and the active power transmission level during the fault period is improved. The full-control characteristic of the reverse blocking type integrated gate commutation thyristor in the hybrid commutation converter is fully utilized, reactive power control under the steady-state working condition and stable power transmission under the alternating-current fault are achieved by optimizing active turn-off control, and the method has wide applicability and good application prospects.

The invention discloses a lithium battery SOH estimation method based on knowledge distillation, and the method comprises the steps: collecting voltage data in a constant-current charging stage and current data in a constant-voltage charging stage, and carrying out the preprocessing of the data, and then forming a data set; building a teacher-student knowledge distillation model, wherein the model comprises a local feature extraction module, a time sequence degradation memory module and a global interaction module; a distillation method of each module is designed, a local feature extraction module adopts layer attention distillation, a time sequence degeneration memory module adopts time sequence attention distillation, and a global interaction module adopts feature alignment distillation; through knowledge distillation, lithium battery degradation characteristics extracted by the teacher model are migrated to the student model, and a lightweight SOH estimation model is obtained; and estimating SOH on line by using the lightweight SOH estimation model. According to the method, a knowledge distillation framework is built, knowledge is transferred from a complex teacher model to a light student model, and the number of model parameters is remarkably reduced while high-precision estimation of the SOH of the lithium battery is achieved.

The invention provides a battery health state evaluation method and system, a storage medium and a computer. The evaluation method comprises the following steps: acquiring basic data of a battery during a mixed pulse test; constructing a battery model, performing parameter fitting on the battery model according to the basic data, and obtaining parameter values of each element in the battery model after parameter fitting; performing constant current-constant voltage charging and discharging simulation on the fitted battery model, acquiring SOC data of the battery model in the charging and discharging simulation process, and acquiring SOH data according to the element parameter values; taking the voltage, current, temperature and SOC data of the battery model in the charge and discharge simulation process as the input of the convolutional neural network, and taking the SOH data as the output to train the convolutional neural network; and taking the trained convolutional neural network as an evaluation model of the battery, and evaluating the health state of the battery according to the evaluation model. The battery health state evaluation method provided by the invention is high in adaptability and high in accuracy.

The invention provides an intrinsic solid-state ion diffusion coefficient test method and device based on optical imaging, and relates to the technical field of solid-state ion test.The method comprises the steps that a test sample is pretreated; carrying out a photoelectric test on the test sample; placing the electrochemical cell in an optical imaging system, connecting the electrochemical cell with an electrical testing system, applying a constant voltage deviating from a steady state to the monodisperse electrode plate, collecting the real-time change condition of the material under the modulation of the constant voltage in real time through an industrial camera, and outputting relational data of optical intensity and time; analyzing the diffusion path through in-situ characterization equipment, and obtaining an ion diffusion path corresponding to the to-be-detected ion battery electrode material particles in combination with dynamic information provided by an optical imaging system; and determining the characteristic time according to the relational data of the optical intensity and the time, and determining the intrinsic solid ion diffusion coefficient corresponding to the test sample by combining the characteristic time and the ion diffusion path corresponding to the to-be-tested ion battery electrode material particles.

The invention provides a multi-scale self-adaptive cooperative network construction type energy storage frequency modulation control system and method, and the system comprises a constant-voltage energy storage power supply which is used for providing DC electric energy; the three-phase inverter circuit is used for converting the direct-current electric energy into alternating-current electric energy and outputting the alternating-current electric energy to a power grid or absorbing the electric energy; the power calculator is used for calculating active power and reactive power output to the power grid by the three-phase inverter circuit; the battery SOH dynamic evaluation controller is used for outputting an SOH attenuation rate signal; the active loop controller is used for generating multi-scale adaptive frequency modulation data and sending the multi-scale adaptive frequency modulation data to the pulse adjustment controller; the reactive power ring controller is used for generating reactive power regulation data according to the power grid voltage deviation signal and sending the reactive power regulation data to the pulse regulation controller; and the pulse regulation controller is used for outputting a final pulse regulation instruction and a multi-scale cooperative control command to the three-phase inverter circuit. The oscillation risk is reduced, and long-term stable operation of the power system is guaranteed.

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 coordination control method for energy storage and a flexible multi-state switch in a power distribution network system, and relates to the field of power supply and distribution. The hierarchical control mode is adopted to coordinate the energy storage system and the flexible multi-state switch; the coordination control layer performs working mode selection and switching in a networking operation mode by a centralized controller according to the feeder load power, the charge state of a storage battery, the operation state of each transformer and the position and the number of feeder faults; the control strategy of the flexible multi-state switch can be changed among a constant DC voltage control strategy, a constant power control strategy and a droop control strategy; the control strategy of the storage battery can be switched among constant-current charging control, floating charging control and constant-voltage control; and the feeder load in the equipment control layer can also realize a load switching control strategy. By adopting the coordination control method, the power supply reliability and the power quality of the system can be improved.

The present invention discloses a formation method for a sodium-ion single battery, which includes constant current charging of the sodium-ion single battery at a charging rate of 0.1C - 0.5C under the condition of 20 - 25°C, and the charging cut-off voltage is V C1 and standing still for 30 - 60 minutes, placing the single battery under the condition of 2 - 10°C for 1 - 2 h, and using voltage V C2 to perform constant voltage charging for 2 - 5 seconds and then standing still for 3 - 8 seconds, standing still for 30 - 60 minutes under the condition of 20 - 25°C, and performing constant current discharging of the sodium-ion single battery at a discharging rate of 0.1C - 0.5C, and the discharging cut-off voltage is V D1、 placing the single battery under the condition of 35 - 55°C for 1 - 2 h, and using voltage V D2 to perform constant voltage discharging for 3 - 6 seconds and standing still for 5 - 8 seconds. The formation method of the sodium-ion single battery significantly changes the performance of the sodium-ion battery, effectively improving the first capacity, charge and discharge efficiency, and cycle life of the sodium-ion battery.

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 discloses a power battery health degree online evaluation method and system based on a charging curve, and the method comprises the steps: dynamically dividing a characteristic interval of a constant-current charging stage and a constant-voltage charging stage through monitoring the voltage and current data in a charging process in real time; extracting time domain and frequency domain characteristic parameters in the characteristic interval; inputting the time domain and frequency domain characteristic parameters into a health degree evaluation model subjected to transfer learning optimization, and generating a fusion health degree index at least comprising a battery capacity attenuation coefficient and an internal resistance change vector; and outputting a final health degree evaluation result and residual service life prediction through an adaptive weighting algorithm based on the fused health degree index in combination with historical cycle data and operating environment parameters of the battery. According to the embodiment of the invention, high-precision and non-intrusive online evaluation and life prediction of the health degree of the battery can be realized, and the real-time performance, accuracy and engineering applicability of evaluation are improved.

The present invention relates to a method for activating a lithium secondary battery, which comprises: a cathode comprising a cathode active material of a lithium metal oxide that comprises manganese in an amount greater than or equal to 50 mol% and less than 100 mol% on the basis of the total amount of metals excluding lithium; an anode; and an electrolyte, the method comprising a step of activating a lithium secondary battery through CC-CV charging in which constant current (CC) charging is performed until a determined state of charge (SOC) (%) is reached, and then constant voltage (CV) charging is performed, and terminating, when the depth of activation charge defined by the following relation 1 becomes 5.17-15.00%, CC-CV charging of the activation step. [Relation 1] Depth of activation charge (%) = (charge capacity of CV charging section / total charge capacity of activation step) * 100

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

The invention discloses a method for preparing antioxidant MXene through electrochemical stripping, and belongs to the technical field of two-dimensional nano materials. Comprising the following steps: (1) centrifuging a Ti < 3 > C < 2 > T < x > MXene dispersion liquid to obtain a MXene wet solid, and coating the MXene wet solid on two sides of a copper foil; (2) the copper foil coated with the MXene wet solid serves as a cathode, and the cathode and the anode are placed in an electrolytic tank together; and (3) applying a constant voltage for electrolysis, collecting sediments in an electrolytic tank, centrifuging, washing, carrying out suction filtration, and drying to obtain the e-MXene film. The e-MXene prepared by the invention has excellent oxidation resistance and adjustable infrared emissivity, and can adapt to infrared camouflage application under damp and hot conditions.

The invention relates to the technical field of charging, and particularly discloses a method for dynamically optimizing the full charge capacity of a lithium battery in an unbalanced state. Dynamically adjusting the standing duration according to the average temperature and the cycle index of the current battery pack, standing to eliminate the polarization effect, and obtaining stable open-circuit voltage of each monomer; inquiring a pre-established open-circuit voltage-state-of-charge characteristic table based on the obtained minimum monomer voltage to obtain the state of charge of the minimum-capacity monomer; generating a segmentation correction formula based on a segmentation threshold value and a gain coefficient dynamically determined by utilizing a large number of full charge capacity correction examples; updating the full-charge capacity by adopting a segmented correction formula and the charge state of the minimum-capacity monomer to obtain a full-charge capacity dynamic optimization result; the accuracy of full charge capacity calculation is effectively improved, the real full charge capacity of the lithium battery in an unbalanced state is better reflected, the service life of the battery is prolonged, and the use efficiency of the battery is improved.

The invention discloses a three-phase vehicle-mounted charger hierarchical control method and system based on a battery state, and the method comprises the steps: obtaining the battery state data of a vehicle-mounted power battery, the battery state data at least comprising a battery voltage and a battery charge state; determining a charging mode according to the battery voltage and / or the battery charge state; when the charging mode is a first charging mode, controlling the PFC converter to operate in a constant voltage output mode, and executing voltage following control on the bidirectional DC-DC converter based on the battery voltage; and when the charging mode is a second charging mode, executing voltage following control on the PFC converter based on the battery voltage, and controlling the bidirectional DC-DC converter to operate in a constant-frequency or constant-phase output mode at the same time. By setting hierarchical control strategies under different working conditions, the output voltage of the PFC converter is adaptively adjusted, the voltage regulation transformation ratio under different working conditions is optimized, the overall circuit structure is improved, and the charging efficiency of the vehicle-mounted charger within the full working condition range is improved.

The utility model discloses a constant current source circuit and a constant current source device, and the constant current source circuit comprises a power module which is used for providing an input current; the voltage reference module comprises a voltage reference unit and a first feedback unit, the first feedback unit is connected to the voltage reference unit, the voltage reference unit is used for providing a reference voltage, and the first feedback unit is used for generating a first constant voltage according to the reference voltage; and the constant current module is connected to the power supply module and the first feedback unit, and the constant current module is used for converting the input current into a first constant current according to the first constant voltage. The voltage reference unit is adopted to generate the reference voltage, the first feedback unit is adopted to generate the constant first constant voltage according to the reference voltage, and the constant current module converts the input current provided by the power supply module into the first constant current according to the first constant voltage, so that the first constant current is only associated with the reference voltage; even if the circuit temperature changes or the load changes, stable constant current output can be maintained.

The invention provides a battery charging rate determination method and device, electronic equipment and a storage medium. The method comprises the following steps: obtaining a self-discharge current of a battery in each cycle charging process; the self-discharging current is the self-discharging current collected in the constant-voltage charging process when the battery is charged at a first charging rate in each circulating charging process until the electric quantity parameter of the battery reaches a preset electric quantity parameter and the battery is continuously charged in a constant-voltage charging mode; the values of the first charging multiplying power of the battery are different in different cyclic charging processes; and determining the corresponding maximum charging rate of the battery under the preset electric quantity parameter based on the self-discharging current. According to the embodiment of the invention, the maximum charging rate of the battery is determined based on the self-discharging current, and the battery is guided to be charged through the maximum charging rate, so that metal deposition in the battery can be reduced, and the risk of side reaction can be reduced while the charging efficiency of the battery is improved.

A horticultural lighting device includes an LED array with multiple LED channels of different wavelengths, each having one or more LEDs. A voltage regulator supplies at least one LED channel with a constant voltage. A processor produces a PWM signal for a driving circuit coupled with the LED channels. In some cases the processor operates a tuning circuit to adjust the constant voltage thereby adjusting an intensity of the one or more LEDs of the one or more LED channels. A lighting system has multiple lamps, each with a zero cross detector that generates a timing signal based on an AC input signal. The PWM signal of each lamp has a frequency that is a multiple of the AC frequency. A method for lighting a facility includes generating a light recipe based on sensor data with an AI engine with one or more neural networks.

An LED equipment with constant voltage control receives a DC voltage and includes a first controller, at least one LED, at least one switch and a voltage control circuit. The first controller includes a positive end and a negative end, and the positive end receives the DC voltage. The LED includes an anode end and a cathode end, and the LED is correspondingly coupled in series with the switch, so that a number of the LED corresponds to the number of switch. The voltage control circuit is coupled to the positive end and the negative end, and the voltage control circuit controls a voltage across the positive end and the negative end to a fixed voltage, so that a first current flowing through the LED inside each LED equipment is consistent.

The invention discloses a lithium battery SOH prediction method fusing data driving and empirical model physical constraint. The lithium battery SOH prediction method comprises the steps of extracting a health feature vector based on current data in a constant-voltage charging stage from battery operation data; constructing a data driving model to establish nonlinear mapping between the health feature vector and the SOH, and outputting an SOH estimated value; constructing an empirical model to represent the physical decline trend of the SOH along with the number of cycles; in the online operation process, the deviation between an SOH estimated value and an SOH predicted value output by the empirical model is monitored, and when the deviation exceeds a preset threshold value, an SOH estimated value sequence in a historical time window serves as a target, and empirical model parameters are updated through an optimization algorithm to enable the empirical model parameters to approach the actual aging rate of the battery; on the basis of the SOH change rate represented by the updated empirical model, constructing a physical constraint item, fusing a training loss function of the data-driven model, and carrying out secondary training on the data-driven model to correct parameters; and utilizing the corrected data to drive the model, and outputting an SOH prediction result.

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

The invention discloses an intelligent road lighting energy-saving control circuit, which relates to the technical field of lighting energy-saving control, and comprises a micro-control module for controlling a photovoltaic control module to carry out photovoltaic conversion, power regulation, isolation transformation and electric energy superposition according to the voltage of photovoltaic conversion. When the electric energy of the energy storage control module is lower than a second low-voltage threshold value, the energy storage control module is matched with the auxiliary adjusting module to independently supply power to the second lighting module, and the mains supply module is matched with the photovoltaic control module to supply power to the first lighting module. When the electric energy of the energy storage control module is lower than an underpower threshold value, the commercial power module cooperates with the photovoltaic control module to carry out constant-current and voltage-stabilizing driving on the first lighting module and the second lighting module. The intelligent road lighting energy-saving control circuit can improve the voltage gain, improve the energy-saving effect, improve the electric energy utilization rate and reasonably and efficiently distribute electric energy.

The invention provides a battery health state estimation method and system based on data-driven fusion quantum optimization, and the method comprises the steps: constructing a battery health state estimation and prediction model, introducing a dynamic decline strategy of a contraction-expansion factor into a quantum particle swarm optimization algorithm, training the model through a training set, and carrying out the prediction of the battery health state. The improved quantum particle swarm optimization algorithm is utilized to optimize the battery health state estimation and prediction model in the training process; verifying by using the test set; and acquiring a target battery data set, selecting constant-current charging time, constant-voltage charging time and internal resistance in the battery charging process as input characteristics, performing preprocessing, and then estimating and predicting the health state of the target battery by using the battery health state estimation and prediction model passing verification to obtain an estimation and prediction result. According to the method, the current SOH estimation and the future SOH prediction of the battery can be efficiently and accurately carried out at the same time.

The invention provides a constant-power driving method of a light source, a light source driver and an air conditioning system, and the constant-power driving method comprises the steps: determining an equivalent voltage corresponding to the power of the current light source based on the working current and working voltage of the current light source obtained in real time; performing differential amplification processing on the equivalent voltage and the expected voltage to generate a constant power modulation instruction of the light source; the expected voltage is a constant voltage simulated according to the rated power of the light source; driving power of the light source is generated based on a constant power modulation instruction of the light source and a feedback adjustment instruction, the driving power is amplified by using a preset power amplification coefficient, the amplified driving power is used for driving the light source to emit light, and the feedback adjustment instruction is generated based on sampling feedback of the driving power of the amplified light source. The constant-power driving of the light source is adopted, so that the service life, the precision and the response speed of the light source are ensured.

The invention relates to a packaging device with an electromagnetic shielding function and a forming method thereof. The packaging device with the electromagnetic shielding function comprises a substrate, the substrate comprises a front face and a back face which are oppositely distributed in the first direction, the substrate comprises a dielectric layer, a wiring layer and an electromagnetic shielding layer, the wiring layer and the electromagnetic shielding layer are located in the dielectric layer, the wiring layer comprises a plurality of signal transmission lines, at least one signal transmission line is a to-be-protected line, and the electromagnetic shielding layer is located in the dielectric layer; the electromagnetic shielding layer comprises at least one first electromagnetic shielding wire, the first electromagnetic shielding wire is located on the outer side of the to-be-protected wire, a first gap is formed between the first electromagnetic shielding wire and the to-be-protected wire, and the first electromagnetic shielding wire is grounded or electrically connected with constant voltage; and the chip is mounted on the front surface of the substrate, and the chip is electrically connected with the signal transmission line. According to the invention, the manufacturing process of the electromagnetic shielding layer is compatible with the manufacturing process of the wiring layer, and targeted independent shielding of a single wire is realized.

The invention relates to the technical field of charging optimization, and discloses a multi-stage charging optimization method based on adaptive identification of a battery, and the method comprises the following steps: S101, in-situ detection and battery type identification; step S102, applying a current step and collecting a voltage response; s103, predicting the change of the terminal voltage along with time; step S104, determining a safe amplitude limiting current; step S105, determining a pre-deceleration factor; and step S106, judging full power, generating a quota recovery instruction, and returning to the step S104 for redistribution. Battery individual parameters are obtained through in-situ detection and micro-pulse identification, current quotas are dynamically distributed based on a constant voltage proportion, a safe target current is determined by combining voltage and power amplitude limiting, current distribution unbalance is avoided, the bus current utilization rate is maximized, voltage overshoot is inhibited by means of a first-order following strategy and a pre-deceleration factor, and the safety of a battery is improved. And stable switching is ensured by matching with constant-voltage inlet current clamping.

The invention relates to the technical field of wireless charging, in particular to a constant-current and constant-voltage wireless electric energy transmission method and a constant-current and constant-voltage wireless electric energy transmission system. Obtaining the charging current of the next iteration based on the battery end voltage of each iteration in the constant current charging state, the actual output power of the electric energy transmitting end of each iteration, the charging current of each iteration and the equivalent line resistance; when an iteration cut-off condition is satisfied, obtaining a target charging current in a constant current charging state; based on the target charging current, a preset standard current and the internal resistance of the battery, obtaining a voltage compensation amount caused by the change of the charging current; the target switching voltage is obtained according to the voltage compensation amount and the preset standard switching voltage, the constant current charging state can be switched to the next charging state according to the target switching voltage, effective, timely and reliable switching of the constant current is ensured, and then the wireless charging efficiency and safety are ensured.

The invention provides a multi-path self-adaptive constant-voltage constant-current charging device, and the device comprises an input module which comprises a plurality of paths of input power supplies with the same rated voltage and limited power; the summarizing module is connected with each path of input power supply and combines the input power supplies into a single path for output; the conversion module is connected with the gathering module and is used for converting the single-path output voltage into target voltage and realizing constant-voltage output through a feedback loop; the detection module is connected with the input module and is used for detecting the effective path number of the input power supply and outputting a signal; and the control module dynamically adjusts the gain of the amplification circuit according to the output signal, and realizes constant current output by combining the current feedback of the conversion module. The summarizing module solves the problems of cost and size; the detection module and the control module jointly improve efficiency and stability; and meanwhile, a dynamic adjusting mechanism of the control module ensures constant-voltage and constant-current output under different input conditions. The modules operate cooperatively, so that the charging device is superior to the prior art in expansibility, efficiency and stability.