2879 results about "Constant current" patented technology

The invention discloses a battery health state prediction method based on multi-modal feature fusion and deep learning, and the method comprises the steps: obtaining the charging data, including current, voltage and temperature data, of each charging period during the multi-stage constant current charging of a battery; determining SOH (state of health) data of the battery; performing smooth filtering on the current and voltage data through a Savitzky-Golay filter, reconstructing a current curve, and reconstructing a voltage curve by adopting a linear interpolation method and a KF filter; constructing a comprehensive characteristic pool according to the current curve, the voltage curve and the temperature data, and directly adding the constant current value at the maximum charging amount into the comprehensive characteristic pool; screening features from the comprehensive feature pool and putting the features into a prediction feature pool; completely integrated empirical mode decomposition is carried out on the SOH data, and IMF components obtained through decomposition are put into a prediction feature pool; the method comprises the following steps: establishing a CNN (Content Number)-BILSTM-ATTENTION And performing single-step prediction and multi-step prediction on the SOH of the battery by using the trained model. According to the invention, high-precision prediction of the SOH of the electric vehicle battery can be realized.

The invention relates to the technical field of chip testing, and discloses an LED driving chip testing method, device and equipment and a storage medium, and the method comprises the steps: carrying out the multi-point temperature excitation and constant-current output synchronous collection of an LED driving chip, and obtaining electrothermal coupling test data; performing thermal resistance network decomposition on the temperature field in the chip to obtain temperature distribution characteristic parameters; performing nonlinear function fitting on the temperature-constant current coupling relation to obtain an electrothermal coupling transfer coefficient; performing four-dimensional coupling calculation on the temperature distribution characteristic parameter and the electrothermal coupling transfer coefficient to obtain four-dimensional coupling response characteristic data; and partial differential sensitivity calculation is carried out based on the four-dimensional coupling response characteristic data, and an electrothermal coupling sensitivity analysis result is obtained.According to the method, the problem of test errors caused by time desynchrony in a traditional separated temperature-current test is solved, quantitative sensitivity analysis of electrothermal coupling parameters is achieved, and the sensitivity of the electrothermal coupling parameters is improved. Therefore, the test accuracy of the LED driving chip is improved.

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 electric vehicle battery health assessment method and system based on multi-source data fusion, and relates to the technical field of new energy vehicle battery application, and the method comprises the steps: collecting a Nyquist impedance curve, terminal voltage relaxation time sequence data and equalization current time sequence data based on a constant current stage cut-off event of a battery pack of an electric vehicle; extracting an impedance form embedding vector corresponding to the Nyquist impedance curve based on an auto-encoder; performing wavelet packet decomposition on the terminal voltage relaxation time sequence data to obtain a corresponding multi-scale voltage relaxation energy feature vector; calculating a dynamic equalization imbalance index based on the terminal voltage relaxation time sequence data and the equalization current time sequence data; and inputting the impedance form embedded vector, the multi-scale voltage relaxation energy feature vector and the dynamic equilibrium imbalance index into a battery SOH prediction model to output an SOH estimated value of the battery pack. Therefore, the accuracy of the SOH evaluation result is improved through the joint modeling of the coupling characteristics of the multi-physical process of the battery.

The invention relates to the technical field of semiconductor laser power supplies, in particular to a semiconductor laser power supply control circuit based on linear constant current and a method thereof. According to the technical scheme, the circuit comprises a voltage follower module, a linear constant-current driving module, a power switch module, a pulse control module, a sampling feedback module and a follow current protection unit. The in-phase input end of an operational amplifier OPA320 of the voltage follower module is connected with external reference voltage # imgabs0 #, the inverted input end of the operational amplifier OPA320 is grounded through a first resistor R1 and connected with the output end through a second resistor R2, and a filter capacitor C1 is connected to the two ends of the second resistor R2 in parallel. Through a linear constant current control and pulse cooperation mechanism, the current stability and the dynamic response speed of the semiconductor laser under the wide-range and high-frequency working condition are remarkably improved, and it is guaranteed that the laser output power is accurate and reliable.

The invention provides a lithium battery internal short circuit diagnosis method based on interpretable machine learning, and the method comprises the steps: collecting voltage, current and time data of a battery in a constant-current charging process under different internal short circuit degrees, and building an experiment data set; preprocessing and filtering the voltage data, calculating the ratio of the voltage increment to the capacity increment, and obtaining the IC curve characteristics of the capacity increment; extracting a battery state-of-charge-open-circuit voltage relationship, and establishing a battery equivalent circuit model for a constant current stage; estimating the state of charge of the battery through an extended Kalman filtering algorithm and battery charging data; extracting characteristic parameters from the IC curve, wherein the characteristic parameters comprise a peak value, a peak position and an area between peaks; time sequence features are extracted based on a state of charge estimation result, and a multi-dimensional feature space is constructed; carrying out standardization processing on the extracted features, and constructing a classification model; and a Shapril additive feature interpretation method is introduced to realize interpretability analysis of a classification model decision process.

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.

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 relates to the technical field of wire harness detection, and particularly discloses a new energy automobile wire harness conduction test system, which is used for solving the problems of low detection precision and poor abnormity identification and data tracing capabilities in a complex structure wire harness and an extreme abnormal state in the prior art. The system comprises a data acquisition module for multi-group constant current excitation and high-resolution acquisition based on a four-line method, a dynamic anomaly analysis module with sliding window processing and adaptive threshold discrimination capabilities, and a level-to-level management module for automatic multi-layer grouping according to parameterized feature tags, through high-frequency multi-round synchronous detection, trend change modeling and grouped closed-loop parameter adjustment, high-precision detection, whole-process intelligent recheck and whole-process dynamic traceability of the multi-loop conduction state and multi-type abnormity of the new energy automobile wire harness are realized; and the safety and the detection management level of the wire harness system are effectively improved.

The invention provides a battery system health state equalization control method based on an LSTM-D3QN algorithm, and relates to the technical field of battery management, and the method comprises the steps: obtaining the historical health state value of each single battery based on the constant current complete discharge process of a plurality of single batteries; performing feature extraction based on the historical health state value of each single battery in the battery system to obtain aging features of the single batteries; inputting the aging features to an LSTM network to obtain a health state prediction value evolved along with time; and inputting the state space including the health state prediction value into the constructed Markov decision process, and generating a switch control strategy of the battery system in the current state by using a D3QN algorithm. According to the invention, efficient equalization control can be realized for the reconfigurable battery system with SOH inconsistency.

The invention discloses an active island detection method and system based on harmonic impedance characteristic identification, and the method comprises the steps: analyzing the harmonic impedance difference of grid-connected points in a grid-connected state and an island state, and building a state criterion based on resonant frequency deviation and impedance amplitude through the comparison of the frequency response characteristics of island impedance and grid-connected impedance; fitting the grid impedance into an RLC parallel model in a selected frequency band, and mapping the topological difference of the power grid into a parameter difference; embedding a low-voltage ride-through strategy in the control of the voltage source converter, and adjusting reactive current in a grading manner according to the voltage drop degree of a grid-connected point; fundamental waves and harmonic waves are separated through a cascade notch filter, two synchronous harmonic waves are injected into the system through constant current control, and it is ensured that injection signals of a multi-voltage source converter are in the same phase in a phase locking link; and solving an overdetermined equation set based on the double-frequency response data to identify RLC parameters, setting an island criterion, and synchronously completing island judgment in a low-voltage ride-through time window. Detection precision is improved, dynamic response is optimized, and power generation efficiency is 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 relates to a fragmented charging data-based lithium ion battery health state estimation method, which comprises the following steps of: acquiring voltage, current and timestamp original data of a constant current charging stage of a lithium ion battery, and intercepting a 100-600-second standardized fragmented charging fragment based on a window parameter consisting of an initial voltage threshold Vstart, a sampling interval delta t and a sampling point number n; the method comprises the following steps: calculating an accumulated charging capacity through a coulomb counting method, generating a voltage-capacity curve, deducing a capacity increment-voltage curve and a voltage increment-capacity curve, and carrying out smooth filtering, multi-modal data splicing and normalization processing to obtain a 3 * n multi-channel characteristic tensor; according to the method, complete charging and discharging data are not needed, different battery types and complex working conditions are adapted, the lowest SOH estimation root-mean-square error can reach 0.00355, the highest determination coefficient (R) can reach 0.99485, and the practicability and estimation efficiency in practical application are greatly improved.

The invention relates to the technical field of resistance test equipment, in particular to a portable loop resistance tester, which comprises a test and acquisition module used for acquiring current and voltage signal data of a tested product, analyzing a loop contact state and calculating a loop resistance value and impedance characteristic parameters; the control and output module is used for performing high-precision constant-current output and self-adaptive adjustment; the interaction and printing module is used for receiving a user operation instruction and displaying current and voltage signal data and a resistance value of a tested product, and meanwhile, printing is performed through a built-in thermal printer according to the user instruction; the power supply module is used for stably supplying power to equipment; and the intelligent diagnosis module is in butt joint with the cloud case library, automatically diagnoses related defect types influencing the loop resistance test, and generates a health assessment report. Therefore, the problems of small current output, insufficient sampling precision, single operation mode and the like in the prior art are solved.

The invention discloses a physical therapy control circuit and method, a storage medium, a program product and physical therapy equipment, and relates to the field of physical therapy, and the method comprises the steps that the physical therapy control circuit is arranged in the physical therapy equipment, and the physical therapy control circuit comprises a physical therapy control module, a touch screen, a driving power supply, a constant current control module and a plurality of lamp groups, the plurality of lamp banks comprise at least two lamp banks with different wavelengths; the physiotherapy control module is connected with the touch screen, the driving power supply and the constant current control module, the constant current control module is connected with the driving power supply, the constant current control module is respectively connected with the plurality of lamp banks, and the plurality of lamp banks are respectively and independently arranged on the physiotherapy equipment; the physiotherapy control module is used for receiving a lamp group control instruction triggered by a user on the touch screen; and the constant current control module is used for adjusting the current output to the target lamp group based on the target lamp group in the lamp group control indication and the target brightness of the target lamp group. The technical problem that the adjustment flexibility of the physiotherapy equipment is low is solved.

The invention relates to the field of battery management systems, and particularly discloses a multi-scene fusion battery health degree calculation method and system, and the method comprises the steps: a standard working condition initial calibration step: triggering a standard working condition calibration process when the electric quantity of a battery pack is lower than a preset initial calibration threshold value, and charging the battery pack to a full charge state with constant current, the actual input capacity in the charging process is recorded, the current available capacity Cnow is calculated in combination with the voltage platform characteristic curve, the initial calibration health degree is calculated through the formula # imgabs0 #, and Cinitial is the factory nominal initial capacity of the battery; and a dynamic use updating step: in the continuous charging and discharging process of the battery pack, accumulating the discharging capacity Cd < ischarge > and the charging capacity Ccharge in real time through a coulomb integral method, calculating the real-time available capacity in combination with the ampere-hour efficiency correction model, and updating the current available capacity Cnow according to a preset period. By adopting the technical scheme of the invention, a multi-scene fusion SOH evaluation algorithm can be constructed for different battery material characteristics, and the reliability of a battery management system is improved.

The invention provides a cooperative distribution method, system and device for vehicle-mounted double-loop liquid cooling refrigerating capacity and a medium, and relates to the technical field of electric vehicle liquid cooling. Determining the confidence value of the refrigerating capacity in the battery cell cooling loop according to the thermal power net increment in the electric vehicle and the temperature distribution gradient in the battery cell; when the temperature of the power device in the power conversion module is larger than a preset safety threshold value, balance adjustment is conducted on the real-time refrigerating capacity of the power conversion module, and the balance characteristic of the refrigerating capacity in a cooling loop of the power conversion module is obtained; and the liquid cooling refrigerating capacity in the double cooling loops is cooperatively redistributed according to the balance characteristic of the refrigerating capacity in the cooling loops of the power conversion module and the confidence value of the refrigerating capacity in the battery cell cooling loops. Based on the scheme, balanced distribution of the refrigerating capacity between the battery cell cooling loop and the power conversion module cooling loop in the electric automobile can be achieved.

The invention discloses an ignition control method of a remote plasma source in the technical field of remote plasma sources, which comprises the following steps: S1, setting a gas current excitation threshold value, and introducing excitation gas; s2, judging whether an ignition signal is received or not, and if yes, closing a relay and entering a constant current stage; s3, whether system ignition is normal or not is judged, and if not, the ignition voltage is adjusted through a self-learning type ignition threshold value calibration method; s4, the output power is improved, and the ignition voltage is adjusted through an ignition threshold calibration method during the period; s5, entering a constant power stage when the output power reaches the full-load power; according to the self-learning type ignition threshold value calibration method, gas flow, gas pressure and cavity temperature are collected in real time, a current load impedance value is predicted through an LSF-BP model, and an ignition voltage threshold value is updated according to the current load impedance value. According to the method, the ignition threshold is dynamically adjusted according to the operation condition, the ignition stability can be effectively improved, and equipment damage and maintenance cost are reduced.

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.

A pixel includes a light-emitting element including a first electrode and a second electrode connected to a low power line which transmits a low power voltage, a pulse width modulator which controls an emission time duration of the light-emitting element based on a data voltage and a sweep signal, and a constant current generator which supplies a driving current having a constant level to the light-emitting element based on a constant current generation voltage. The sweep signal has a first high voltage level in a non-emission period, and is boosted to a second high voltage level, which is higher than the first high voltage level, before decreasing to a low voltage level lower than the first high voltage level in an emission period.

The invention discloses a Rogowski coil current transformer and a current measurement system, and relates to the technical field of current measurement. The Rogowski coil current transformer comprises a Rogowski coil and a signal processing circuit; the differential signal is converted into a differential constant-current signal to be output based on a signal processing circuit; the signal processing circuit comprises an integral amplification module for performing integral amplification on the differential signal based on the integral amplification module; the first direct current component removing module is used for removing a direct current component in the voltage signal after integral amplification based on the first direct current component removing module; the signal adjusting module is used for realizing amplitude in-phase amplification and phase compensation; the single-ended to differential output module is used for generating symmetrical differential voltage signals based on the single-ended to differential output module; and the conversion module is used for converting the symmetrical differential voltage signal into a differential constant current signal and outputting the differential constant current signal based on the conversion module. And through the integral amplification module and the phase compensation module, the differential signal is accurately converted into the current signal, so that the current measurement result is more accurate.

The invention provides a dynamic residual amplification circuit based on charge sampling, and relates to the technical field of integrated circuits, the dynamic residual amplification circuit comprises an integrating circuit, a logic circuit, a charge pump and a zero-cross detection circuit, the integrating circuit is connected with the logic circuit and the zero-cross detection circuit, the integrating circuit converts a sampled input differential signal into a constant current, and the constant current is connected with the charge pump. The output node is continuously charged or discharged, so that the input differential signal is converted into a current integral quantity; the zero-cross detection circuit monitors the output voltage of the integrating circuit in real time, and when the output voltage is greater than or equal to the common mode voltage VCM, the moment when the output voltage is equal to the common mode voltage VCM is converted into a digital clock edge; the logic circuit is connected with the charge pump and outputs digital pulses to the charge pump according to the digital clock edge so as to control the reset time sequence of the whole dynamic residual amplification circuit; the charge pump is configured to output a residual voltage modulated by the digital pulse in response to the digital pulse. The application helps to improve the linearity of the residual signal.

The invention discloses an electric vehicle charging curve generation method and system, and the method comprises the steps: decomposing a noisy charging power curve into a plurality of overlapped Patches of different scales, so as to represent the transient impact of a charging start-stop stage and the steady state trend of a constant-current charging stage; the diffusion step length and the Patch center moment are coded through rotation position coding, and physical constraints on the absolute time power grid side are guided to a curve generation process through feature layer injection; a Transform backbone network is adopted to capture a long-time-sequence physical dependency relationship in the charging behavior; a power value and a reconstruction weight are respectively predicted through a double-path prediction head, and a generated curve is physically continuous and smooth by using weighted overlapping addition based on Softmax. According to the method, the problems of splicing artifacts and unreasonable time logic existing in charging curve generation are solved, and the high-fidelity charging curve with physical significance can be generated.

The invention discloses a direct current SSPC current limiting control system and a control method thereof, and relates to the field of power electronics and electricians. The RC network generates a control voltage according to the switch control signal; the driving power amplification circuit carries out power amplification processing on the control voltage; the main power circuit conducts or cuts off the branch power distribution channel according to the processed voltage so as to provide a current path; the current-limiting state judgment circuit judges whether to enter or exit a current-limiting state according to information data fed back by the feedback circuit, and outputs a signal to the current closed-loop current-limiting control circuit; and the current closed-loop current-limiting control circuit receives the signal output by the current-limiting state judgment circuit and adjusts a control voltage corresponding to a main branch power tube in the RC network according to the SSPC channel current so as to realize constant-current control of the power distribution channel. The invention aims to improve the stability and thermal reliability of direct current SSPC current-limiting control.

The invention discloses a constant flow metering pump which comprises a cam box, a pump head and a confluence block, a driving mechanism, a cam mechanism and at least two connecting rod mechanisms are arranged in the cam box, and the output end of the driving mechanism drives the cam mechanism to rotate, so that the cam mechanism drives all the connecting rod mechanisms to reciprocate at phase differences; the pump head is provided with cavities in one-to-one correspondence with the connecting rod mechanisms, the cavities are connected with pistons in a sliding mode, the pistons are connected with the connecting rod mechanisms, and when the driving mechanism drives the cam mechanism to rotate by one circle, the pistons alternately suck liquid and discharge liquid; the confluence block is provided with a liquid inlet channel and a liquid outlet channel, all the cavities are communicated with the liquid inlet channel and provided with liquid inlet one-way valves respectively, and all the cavities are communicated with the liquid outlet channel and provided with liquid outlet one-way valves respectively. The technical problems that in the prior art, the pulsation phenomenon occurs in filling, and the filling efficiency is too low can be solved.

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 discloses a peak code modulation circuit based on a dynamic memristor, which comprises the dynamic memristor and a signal conversion module, and is characterized in that the signal conversion module comprises a signal isolation module, a feature extraction module and a pulse conversion module which are connected in sequence. The dynamic memristor generates a voltage signal with a slow-rising and steep-falling characteristic under constant current input. The signal isolation module comprises a high-impedance input buffer circuit; the feature extraction module comprises an asymmetric time constant signal processing circuit used for performing enhanced extraction on the steep drop feature of the memristor output signal; and the pulse conversion module comprises a dual-threshold positive feedback hysteresis comparison circuit and is used for converting the output signal of the feature extraction module into a rectangular digital pulse. The circuit is specially designed according to the characteristics of the memristor, is simple in structure, is easy to integrate, can achieve the efficient conversion from an analog signal to a standard digital pulse, and is suitable for the fields of neuromorphic calculation and low-power-consumption signal processing.