1836 results about "Terminal voltage" patented technology

The invention discloses an energy storage system state evolution trend prediction method based on multi-source data fusion. The method comprises the steps of terminal voltage, current and temperature time sequence data acquisition, time sequence segmentation normalization, multi-physics field coupling feature construction, trend prediction model construction and training and energy storage system state evolution trend prediction. According to the method, the distinguishing capacity of the model for charging and discharging physical characteristics is improved, meanwhile, the voltage change rate, the multi-dimensional feature vector of the differential internal resistance and the thermal-electric coupling effect and the explicit encoding electric-thermal-resistance coupling relation are constructed, the transient response and the temperature hysteresis effect can be effectively captured, and then the model can be used for analyzing the charging and discharging physical characteristics. A degradation-aware cross-cycle feature extraction and gating mechanism is adopted, short-term fluctuation and long-term trend are adaptively balanced in multi-scale prediction, the prediction conflict problem is relieved, finally, physical constraints based on the electrochemical law and the internal resistance temperature characteristic are embedded in a loss function, it is ensured that the prediction result is accurate in numerical value and conforms to the physical law, and the prediction accuracy is improved. And generation of physically impossible solutions is avoided.

The invention discloses a lithium battery health assessment method based on an adaptive extended particle filter algorithm. The method comprises the following steps: constructing a second-order RC equivalent circuit model of a lithium battery; determining all parameters in the lithium battery second-order RC equivalent circuit model by using a recursive least square algorithm with a forgetting factor to obtain a determined lithium battery second-order RC equivalent circuit; estimating SOC parameters of the lithium battery at the moment by combining a particle filtering algorithm with an adaptive extended Kalman filtering algorithm; correcting the terminal voltage of the second-order RC equivalent circuit of the lithium battery at the moment to obtain the terminal voltage of the equivalent circuit; and based on the lithium battery second-order RC equivalent circuit and the corrected terminal voltage, estimating the SOE parameter of the lithium battery at the moment k by using a particle filtering algorithm in combination with an extended Kalman filtering algorithm. The SOC and the SOE of the lithium battery are accurately estimated, and the sampling efficiency and the estimation stability of particle filtering are improved. Cooperative joint estimation of SOC and SOE complements each other, and the accuracy of overall state estimation is further improved.

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 provides a platform area power grid tail end voltage flexible regulation and control method and system. The method comprises the steps that a sampling module measures common coupling point voltage at the tail end of a platform area power grid; the impedance calculation unit obtains load end impedance; the current calculation unit calculates the current of the common coupling point through the voltage of the common coupling point and the impedance of the load end; the current resolving unit is used for resolving the common coupling point current into negative-sequence current and zero-sequence current; the compensation current unit calculates a compensation current component required for maintaining the stability of the voltage at the tail end of the transformer area power grid through the negative-sequence current and the zero-sequence current; the PWM unit generates a compensation current control signal; and the IGBT module outputs compensation current to the common coupling point. When three phases are unbalanced, the first disturbance generation circuit accurately injects a disturbance signal to effectively regulate and control the voltage at the tail end of a power grid in a transformer area; and the second disturbance generation circuit analyzes the stability of the tail end of the station area power grid by using coordinate transformation and a PI controller.

The invention relates to the technical field of battery management, and particularly discloses a dynamic control method for an intelligent balance management system of a lithium battery module, which comprises the following steps of: acquiring load current of the battery module and end voltage signals of each monomer in real time; calculating instantaneous internal resistance and polarization voltage parameters of each single battery in real time; the terminal voltage is compensated in real time, and a purified open-circuit voltage signal is generated; fusing the charge state reference value with the current integral result, dynamically calculating a confidence index according to a current standing condition and voltage stability so as to perform adaptive weighting, and outputting a smooth charge state estimation value; calculating a balance urgency degree index by combining the estimated value, the real-time temperature and the inconsistency change trend, and generating a differentiated balance control instruction; an energy transfer path is established and controlled according to the instruction, the rate is dynamically adjusted in the process, and operation is terminated when the duration or state consistency condition is met; according to the method, the stability of state estimation and the accuracy, safety and efficiency of balance control under the dynamic working condition are improved.

The invention relates to the technical field of energy storage battery performance detection, and discloses a performance detection device and method for an energy storage battery, and the method comprises the steps: calculating a thermal safety coefficient based on the internal temperature of the battery, the temperature gradient, the Joule heat generation rate and the environment temperature; calculating a voltage safety coefficient based on the battery end voltage, the voltage change rate and the voltage range; according to the thermal safety coefficient, the voltage safety coefficient, the battery expansion strain and the internal pressure, calculating the collaboration reflecting the multi-physical field state coordination; calculating an aging coefficient based on the accumulated current stress, the accumulated cycle index and the high stress duration of the battery; and finally, based on the collaboration, the aging coefficient and the rated current, calculating the target charging and discharging current and performing real-time adjustment. The device comprises a memory and a processor and is used for executing the method. According to the invention, multi-dimensional fusion evaluation and self-adaptive management of thermal, electrical and mechanical states and aging processes of the energy storage battery are realized, and the operation safety and service life of the battery are remarkably improved.

The invention relates to the technical field of electrical parameter measurement, in particular to an SOC prediction method and system applied to a lithium battery. The method comprises the following steps: collecting an electrical variable parameter set of the lithium battery in a current operation period, and determining an electric quantity change value and a change trend of terminal voltage; dividing a voltage response state of the lithium battery in each operation stage to determine an operation state mapping relation; predicting the state of charge of the lithium battery in the current operation period by using the operation state mapping relation; in response to the first change of the operation condition of the lithium battery, collecting a current electrical variable parameter set of the lithium battery to correct the operation state mapping relation; and predicting the state of charge of the lithium battery after the first change of the operation condition according to the corrected operation state mapping relation. The method is beneficial for dynamically adapting to unsteady state behaviors of the lithium battery in different working states, SOC prediction lag and fluctuation caused by working condition changes are effectively reduced, and the dynamic response capability and reliability of prediction are improved.

The invention provides a lithium ion battery charge state estimation method and device, equipment and a medium, and the method comprises the steps: obtaining a battery end voltage measurement value and a platform interval query table collected at a current moment when a charge state estimation request for a to-be-estimated battery is received, and determining a prior charge state estimation value; determining a platform interval attribute result corresponding to the priori state-of-charge estimation value; adjusting an observation noise covariance matrix based on the platform interval attribute result, the real-time slope of the open-circuit voltage-state-of-charge relation curve at the priori state-of-charge estimation value and the battery working current change rate; and updating the Kalman gain based on the adjusted observation noise covariance matrix, correcting the priori state-of-charge estimated value by using the updated Kalman gain to obtain the target state-of-charge estimated value at the current moment, and obtaining the target state-of-charge estimated value at the current moment through platform interval identification and a multi-parameter adaptive adjustment mechanism. And the estimation precision and stability of the state of charge of the lithium ion battery are improved.

The invention relates to the technical field of electronics, and discloses a boost circuit control method and device, computer equipment and a storage medium, and the method comprises the steps: detecting a state change event in a boost circuit; calculating a voltage difference value between the front-end voltage value and the rear-end voltage value in the booster circuit, and determining a corresponding target control strategy based on the state change event and the voltage difference value, the target control strategy at least comprises a step of determining a corresponding target voltage value and a feed-forward current value based on vehicle driving parameters and working condition parameters of a load motor so as to execute voltage regulation, or a step of determining a corresponding feed-forward duty ratio based on a rear end voltage value of a booster circuit so as to execute voltage regulation; and executing corresponding control operation on the booster circuit according to the target control strategy. The problems that in the prior art, due to the fact that a control strategy of a booster circuit is fixed, and a state change event and voltage difference value dynamic adjustment are not combined, voltage adjustment response lags behind, and stability is insufficient are solved.

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 provides an energy storage and discharge circuit, and relates to the technical field of energy storage and discharge, and the circuit comprises a power supply input interface, a first current limiting assembly, a first switching device, a first electric control device, a start-stop control transmission device, and an energy storage assembly. The start-stop control transmission device is connected with the control end of the first switching device; a first port of the first switching device is externally connected with a direct-current power supply, and an output end is connected with a control system of the first electric control device; the power supply input interface is connected with an input end of the first current limiting assembly, an output end of the first current limiting assembly is connected with a first port of a controlled system of the first electric control device, and a second port of the controlled system of the first electric control device is connected with a port of the energy storage assembly; according to the invention, the sudden change of the voltage at the two ends of the capacitor when the capacitor is directly subjected to energy storage in the energy storage discharge circuit can be avoided, the capacitor is prevented from being damaged, and the reliability of the energy storage discharge circuit is improved.

The invention relates to the technical field of flywheel and battery hybrid energy storage control, and discloses a quick power response and energy management method of a flywheel and electrochemical hybrid energy storage system. The method comprises the following steps of: acquiring flywheel rotating speed, kinetic energy allowance, battery end voltage and internal resistance in real time to form a state vector, performing consistency correction on an initial power decomposition instruction according to the state vector, and generating a final power instruction matched with unit real-time capability. Meanwhile, by monitoring the change trend of the flywheel kinetic energy and the battery charge state, a power decomposition coefficient is dynamically adjusted according to a preset coordination rule, and the power decomposition coefficient is fed back to an initial decomposition link to form closed-loop control. According to the method, accurate matching of the power instruction and the dynamic characteristics of the energy storage unit is realized, and the safety and accuracy of system response are improved; and through closed-loop trend adjustment, the long-acting adjustment capability and operation stability of the system are maintained.

The invention is suitable for the technical field of power system high-voltage electrical equipment test, and provides a high-voltage circuit breaker direct test loop parameter setting method based on a particle swarm optimization algorithm, and the method comprises the steps: enabling a three-phase direct test loop to be equivalent to a single-phase loop according to symmetry, and enabling a transformer, an electric reactor, a power grid or an impact generator to be equivalent to an inductor and a voltage source; establishing an equation set according to the KCL, the KVL and element characteristics; performing nondimensionalization by using the voltage and current standard values and the conversion relation between the time domain and the angle domain to obtain a dimensionless equation; sorting to obtain a differential equation of per unit values of voltages at two ends of the circuit breaker and dimensionless parameters; and constructing an optimization search space and value function by taking the dimensionless parameters as decision variables of a particle swarm optimization algorithm, and operating the algorithm for multiple times to obtain the optimal dimensionless parameters so as to complete loop parameter setting. According to the scheme, test loop parameter setting can be automatically completed, manual debugging is reduced, the setting efficiency and precision are improved, and it is guaranteed that a circuit breaker test result meets the standard.

The invention relates to the technical field of energy storage system operation control, and discloses a high-voltage cascade valve hall energy storage system virtual inertia safety constraint control method, which comprises the steps of collecting operation data of a power grid side, a bridge arm layer, a module layer and a system layer in real time, and calculating a virtual inertia response power demand; establishing a three-layer security constraint system of a module layer, a bridge arm layer and a system layer, and dynamically adjusting a virtual inertia coefficient; based on the average SOC state of each bridge arm, distributing the system target power to each bridge arm; the terminal voltage is adjusted according to the SOC deviation of the modules, and power distribution and SOC balance between the modules in the bridge arms are achieved; synthesizing a final power instruction, executing triple safety amplitude limiting, and issuing the final power instruction to a power converter for execution; and periodically adjusting a virtual inertia parameter, and simultaneously realizing fault detection and isolation. According to the invention, by establishing a system-level, bridge-arm-level and module-level three-layer coordination control architecture, virtual inertia support of the energy storage system to the power grid is realized on the premise of satisfying multiple security constraints.

The invention discloses a lithium battery health state estimation method and system based on resting stage characteristics for an underwater vehicle, and the method comprises the steps: firstly recognizing a resting stage of the underwater vehicle, and collecting terminal voltage and time sequence data to construct a resting characteristic vector; constructing an initial health state SOH sequence, and performing anomaly detection and correction; inputting the corrected sequence into an adaptive Kalman filter, and dynamically adjusting and measuring noise covariance to obtain a health state reference sequence; then taking the resting feature vector as an input and the health state reference sequence as an output label, constructing a plurality of health state prediction models, and carrying out training and parameter optimization; and during prediction, inputting the new resting feature vector into each health state prediction model to obtain a plurality of health state prediction results, carrying out weighted fusion, and outputting a final health state estimation value of the lithium battery of the underwater vehicle. The method is high in applicability, and the lithium battery health state estimation precision and stability under the low-frequency sampling condition can be remarkably improved.

The invention relates to the technical field of fault diagnosis, in particular to an inductance winding equipment fault detection method and system based on multi-sensor fusion, and the method comprises the following steps: injecting a high-frequency sinusoidal voltage signal into a servo motor stator winding of inductance winding equipment, and synchronously collecting a motor end voltage, a three-phase current and a rotor position encoder signal; and constructing an original multi-dimensional signal matrix. According to the invention, the high-frequency sinusoidal voltage signal is actively injected into the stator winding of the servo motor of the inductance winding equipment, and the motor end voltage, the three-phase current and the rotor position encoder signal are synchronously acquired, so that the active excitation response capture of the operation state is realized, and compared with a passive monitoring mode, the signal controllability and the response accuracy are better; in an original multi-dimensional signal matrix, sequence calibration is carried out through a unified timestamp standard, time alignment is carried out on electrical signals and motion signals, and the collaboration and effective association of multi-source data are enhanced.

The invention relates to a terminal voltage flexible regulation and control method, and the method comprises the following steps: presetting target voltage parameters which comprise an amplitude value, a frequency and an initial phase angle; calculating a three-phase sinusoidal voltage reference signal based on a virtual synchronous machine algorithm according to the target voltage parameter; according to the three-phase sinusoidal voltage reference signal, generating a driving signal by using pulse width modulation, and controlling the on and off of an IGBT power switch device to generate a three-phase sinusoidal compensation voltage; injecting the three-phase sine compensation voltage into the tail end of a power grid; monitoring the voltage state of the power grid in real time, and calculating the deviation between the actual voltage of the tail end of the power grid and the target voltage parameter; and according to the deviation, adjusting a control parameter in the virtual synchronous machine algorithm, and updating the three-phase sine compensation voltage to compensate the voltage deviation at the tail end of the power distribution network. Voltage deviation can be compensated in time, and the problem of voltage change caused by large fluctuation of electrical load can be effectively solved.

The invention relates to the technical field of energy storage battery health state evaluation, and provides a low-voltage station area battery capacity calibration and health factor extraction method, which comprises the following steps: acquiring battery end voltage, current, temperature and SOC data in real time; a complete charge-discharge cycle is automatically divided according to a preset rule, and the equivalent discharge capacity is calculated through an ampere-hour integral; constructing an exponential type working condition correction factor based on the circulating temperature and the root-mean-square current to correct the capacity, and obtaining a dynamic calibration capacity in a sliding window by adopting exponential weight or weighted least square fitting; meanwhile, multi-dimensional health factors are extracted from voltage, current, temperature and SOC signals, and comprehensive health characterization is formed through adaptive weighted fusion in a data driving mode. According to the method, online and dynamic capacity estimation and multi-dimensional health assessment of the energy storage battery in the transformer area under the complex and unsteady working condition are achieved, the capacity calibration precision and the life prediction reliability are remarkably improved, and intelligent operation and maintenance and risk early warning are facilitated.

The invention discloses a large hydro-generator full-condition field loss protection method and system, and relates to the technical field of power system relay protection, and the method comprises the steps: collecting the generator end voltage and the generator end current of a hydro-generator, collecting the bus voltage, and calculating the reactive power of the hydro-generator according to the generator end voltage and the generator end current; acquiring the node position of the field suppression switch, and judging whether the node position of the field suppression switch is abnormal or not based on the jump position of the field suppression switch, the generator terminal voltage and the reactive power of the hydro-generator; calculating a generator end current sudden increment of the hydro-generator according to the acquisition step length, and judging whether the hydro-generator has an excitation loss fault or not according to a fixed logic based on the reactive power of the hydro-generator, the generator end current sudden increment and a field suppression switch jump position with the assistance of a negative sequence voltage, a generator end voltage and a bus voltage; and if the field loss fault has occurred, executing a corresponding field loss protection action. According to the method, the phenomenon that impedance criteria are used for protecting inaction under light-load and no-load working conditions can be avoided, and the possibility of protection misoperation is reduced.

The invention discloses a power supply cell state diagnosis method and device, a storage medium and a program product, and belongs to the technical field of battery safety management. The method comprises the following steps: acquiring internal stress, temperature, terminal voltage and charge and discharge current values of a battery unit; based on the parameters, constructing a thermal runaway symptom index through a statistical correlation algorithm; inputting the historical state parameters into a long-short term memory (LSTM) network model, and predicting a future terminal voltage value; calculating the residual error between the predicted terminal voltage and the actual terminal voltage, and carrying out anomaly detection on the residual error; and performing comprehensive state diagnosis by combining the thermal runaway symptom index and the anomaly detection result. Internal stress parameters are introduced, LSTM prediction and OC-SVM detection are combined, early degradation symptoms can be captured from mechanical and electrochemical double angles, and the accuracy and advance of thermal runaway early warning are improved.

The invention relates to the technical field of offshore wind power grid connection, in particular to a low-frequency oscillation suppression method for an offshore wind power synchronous machine grid connection system, which comprises the following steps: acquiring inherent parameters of the synchronous machine grid connection system and active power reference instructions of each fan of an offshore wind power plant; according to the inherent parameters, control parameters of a preset damping controller are determined, and the damping controller is configured based on the control parameters; acquiring an actual operation frequency signal of the offshore low-frequency power grid in real time, and comparing the actual operation frequency signal with a preset rated frequency of the offshore low-frequency power grid to obtain a frequency deviation signal; inputting the frequency deviation signal into a configured damping controller, and outputting a damping power instruction; and superposing the damping power instruction and the active power reference instruction to generate an active power control instruction. According to the invention, the low-frequency oscillation of the new energy synchronous machine grid-connected system can be effectively suppressed, and meanwhile, the situation that the grid-connected safety is threatened due to the great fluctuation of the terminal voltage of the motor caused by suppression measures is avoided.

The invention discloses an improved flexible direct current fault control method for improving current differential protection adaptability, and belongs to the technical field of power system relay protection and new energy power generation system grid-connected control. The method comprises the following steps: detecting a voltage drop abrupt change signal and a negative sequence voltage signal of a flexible DC output end, and starting a control strategy when the signals are satisfied; detecting a terminal voltage signal and active power of a new energy sending-out terminal, and calculating a new energy side current phase angle and a power angle; calculating a flexible DC side current phase angle control value and a negative sequence dq axis current reference value based on the parameters; and controlling the flexible DC side to output a negative-sequence current corresponding to the negative-sequence dq-axis current reference value, so as to actively adjust the current phase of the flexible DC side, reduce the phase angle difference between the fault current of the flexible DC side and the fault current of the new energy side, and discriminate the internal and external faults of the region through traditional current differential protection. According to the invention, the degree of freedom is controlled and the current phase is adjusted by using the flexible direct-current side negative-sequence current to reduce the phase angle difference of the two sides, so that the problem that the current differential protection adaptability in the double-end weak feedback system is reduced is solved, additional hardware is not needed, and the power grid safety and the new energy stable grid connection are ensured.

The invention discloses a voltage regulation controller with a line protection function, and relates to the technical field of power electronic control. The problems of bypass / voltage regulator self-excitation switching, operation refusing and protection mismatching caused by a single-end voltage threshold in the prior art are solved. Comprising a first sampling unit, a second sampling unit, a first characteristic unit, a second characteristic unit, a first criterion unit, a second criterion unit, a scheduling unit, an execution unit and a closed loop unit. A dynamic criterion set is constructed, segmented priority scheduling and two-stage execution are driven through a multi-end contribution vector, and self-adaptive correction is conducted through residual current and arc light indexes in a closed loop; according to the invention, the action selectivity and the low-current fault detection reliability are remarkably improved.

An on-line program control excitation power supply with quench protection for a high-temperature superconducting magnet comprises a single-chip microcomputer for receiving control data, outputting control voltage through digital-to-analog conversion (DAC) of the single-chip microcomputer, and magnetizing a magnet coil through current stepping; a sampling signal is output to the liquid crystal screen to display corresponding voltage and current values in real time after being processed by the single-chip microcomputer analog-to-digital conversion ADC; voltage signals at the two ends of the magnet coil are sampled and returned to the single-chip microcomputer to be processed, when high voltage occurs, it is judged that the voltage signals are abnormal voltage signals, quench protection is carried out, the single-chip microcomputer outputs control signals to cut off connection between the magnet coil and the excitation power source, and residual energy of the magnet coil is released through the high-power thyristor. The provided excitation power supply has the characteristics of high power, high stability, good repeatability and good linearity; performing numerical control stepping output, gradually applying current to the superconducting coil, and slowly establishing a magnetic field; effective quench protection is achieved, and it is guaranteed that a magnet coil is not damaged by quench.

The invention is suitable for the technical field of circuit monitoring, and provides a capacitance value online monitoring method and system based on thin film capacitor self-healing feature perception, and the method comprises the steps: synchronously collecting a voltage signal and a current signal of a to-be-detected thin film capacitor based on a preset sampling period, and constructing a voltage sequence and a current sequence with a unified time sequence; determining a candidate transient time window based on a preset sampling period and the voltage sequence; in the candidate transient time window, a time sequence of a self-healing event is determined based on the voltage sequence and the current sequence, and the self-healing event comprises an arcing stage, an arc quenching stage and a charging recovery stage; and based on the initial voltage, the final voltage and the effective charging current in the charging recovery stage, determining an effective capacitance estimation value of the to-be-tested thin-film capacitor. According to the technical scheme provided by the invention, the self-healing behavior of the thin-film capacitor is accurately identified, so that online monitoring of the capacitance value of the thin-film capacitor is realized, and the capacitance value monitoring error is effectively reduced.

The invention discloses a power distribution system harmonic source positioning method based on subsystem division, and aims to improve the accuracy and anti-interference capability of harmonic source identification in a power distribution system. According to the method, firstly, an obtained voltage signal is preprocessed, frequency domain feature information is extracted, a subspace projection operator is constructed through singular value decomposition, and effective extraction of each harmonic component in the signal is achieved. Then, carrying out subsystem division on the power distribution system according to the position of the tail end measurement point, for each subsystem, respectively injecting simulated harmonic current into each candidate node by adopting a virtual harmonic injection method, and calculating the response of the node to the tail end voltage; and comparing a simulation result with a measured value, constructing an error vector, screening out a node with the minimum error as a backup harmonic source node, and finally positioning the harmonic source node through zero setting of a connection node and a correction strategy of the most downstream node. The method is suitable for a multi-node and multi-source coexistence large-scale power distribution network harmonic suppression scene.

The invention provides an SOC estimation method and device for a lithium battery, electronic equipment and a storage medium, and belongs to the technical field of battery management, and the method comprises the steps: obtaining a current model parameter of a pre-constructed battery equivalent circuit model and an SOC estimation value at a previous moment; predicting the terminal voltage of the lithium battery at the current moment based on the current model parameter, the current of the lithium battery at the current moment and the SOC estimated value at the previous moment; and estimating the SOC at the current moment based on the SOC estimated value at the previous moment by adopting an SOC estimation algorithm, and correcting the SOC estimated at the current moment based on the deviation between the predicted terminal voltage and the terminal voltage actually measured at the current moment to obtain the optimal SOC estimated value at the current moment. According to the method, the dynamically updated battery equivalent circuit model parameters are introduced, so that the model can reflect the change of the impedance characteristic of the battery in real time, the terminal voltage prediction error is remarkably reduced, and the SOC estimation precision is improved.

The invention belongs to the technical field of battery capacity grading detection, and particularly relates to a solid-state battery capacity grading method and system based on sampling resistor temperature compensation, and the method comprises the steps: collecting the local temperature of a sampling resistor and the voltages at the two ends of the sampling resistor in a capacity grading detection loop in real time; the actual resistance value of the sampling resistor is dynamically corrected through a resistance value-temperature model integrating first-order and second-order temperature coefficients and a self-heating power effect, so that high-precision real current is calculated, and the accurate capacity of the solid-state battery is determined according to the real current. The system correspondingly comprises a temperature sensor, a temperature compensation processing module and other hardware. By directly monitoring and compensating the temperature drift of the sampling resistor, the problem of capacity calculation error caused by self-heating of the resistor under large current is effectively solved, and the precision and reliability of solid-state battery capacity grading detection are remarkably improved.

A light emitting diode (LED) driving system comprises at least one linear current driver configured to regulate current to a plurality of LEDs in a multi-spectral application independently of an electrical load affected by voltage fluctuations across the LEDs; and a programmable input configured to receive a current setpoint signal from a digital-to-analog converter (DAC), which defines a target current through the LEDs. The LED driving system further comprises a programmable voltage regulator configured to output a supply voltage to the least one linear current driver that includes a saturation voltage sufficient for the at least one linear current driver to regulate the current delivered to the plurality of LEDs.

The invention discloses a battery charging management method and device, equipment and a medium, and the method comprises the steps: obtaining the surface temperature data of each cell, calculating the real-time internal resistance through combining the terminal voltage of the cell with the charging current, judging the internal resistance abnormality through the correlation of two parameters, namely temperature and internal resistance, and accurately capturing the initial fine change of the internal resistance. The problem that early abnormity is difficult to recognize in traditional single temperature or environment temperature detection is solved, and abnormal battery cells are prevented from being in an unmonitored state for a long time. Meanwhile, the charging current is dynamically adjusted according to a preset proportion instead of overall adjustment for the battery cell with abnormal internal resistance, so that the temperature difference between the battery cell and other battery cells can be directly reduced, heating aggravation is inhibited from the source, the thermal runaway risk is reduced, the battery cell temperature can be better kept consistent, the situation that the overall service life of the battery is prolonged due to individual battery cells is reduced, and the service life of the battery is prolonged. Therefore, the charging efficiency is better considered, and safe and long-acting charging management support is provided for the battery of the electric two-wheeled vehicle.