1373 results about "Electric capacity" patented technology

The invention relates to the technical field of ship power systems, and discloses a ship comprehensive power system based on composite energy storage, comprising an energy generation module which comprises a diesel generator, a gas turbine and a renewable energy sub-module and is used for generating electric energy; the energy storage management module comprises a lithium battery, a super capacitor and a flywheel energy storage system and is used for storing and releasing electric energy; the energy distribution and scheduling module is used for controlling energy distribution between the energy generation module and the energy storage management module; the load management module is used for adjusting the load power requirement according to the load priority; and the health management and fault monitoring module is used for monitoring the operation states of the energy storage management module and the system in real time. Through cooperative work of multiple energy storage units and combination with optimization control of the energy distribution and scheduling module, characteristics of different energy storage devices are fully exerted. Therefore, loss in the energy conversion process is remarkably reduced, distribution and utilization of electric energy are optimized, and the overall energy utilization efficiency of the system is improved by about 15%-20%.

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

The invention discloses a fuel cell ship distributed dynamic power distribution method based on autonomous frequency division. The method comprises the following steps: establishing a fuel cell ship multi-electric hybrid power system model taking a fuel cell, a lithium battery, a super capacitor, a DC / DC converter and a ship as loads; based on a fuel cell ship multi-electric hybrid power system model, distribution of dynamic ship load power in different power supply units of a fuel cell, a lithium battery and a super capacitor is realized by adopting a hybrid droop control method of virtual impedance, and charge state equalization of a parallel lithium battery pack is realized based on a charge state equalization method of adaptive droop control; according to the invention, ship dynamic load power can be autonomously distributed according to power units with different characteristics, balance of the charge state of the parallel lithium battery pack and stable control of the direct current bus voltage are realized, and meanwhile, distributed control is adopted, so that the communication pressure among the units is reduced.

The invention discloses a comprehensive energy storage system for off-grid wind-solar hydrogen production and a control strategy of the comprehensive energy storage system. The comprehensive energy storage system for off-grid type wind-solar hydrogen production is composed of power type energy storage, energy type energy storage and long-period energy storage, and the power type energy storage, the energy type energy storage and the long-period energy storage respectively meet the adjustment requirements of millisecond-second level adjustment, minute-hour level adjustment and hour-several-week adjustment time scales, the power type energy storage adopts a double-electrode-layer super capacitor, and the energy type energy storage adopts a double-electrode-layer super capacitor. Lithium ion battery energy storage is adopted for energy type energy storage, hydrogen energy storage is adopted for long-period energy storage, and a comprehensive energy storage system network structure wiring diagram is designed. Aiming at flexible control of the off-grid wind-solar hydrogen production comprehensive energy storage system, three layers of control strategies including a device-level control strategy, a system-level coordination strategy and a system-level recovery strategy are provided. In a system-level control strategy, a network construction coordination control strategy between energy storage of the double-electric-layer super capacitor and energy storage of the lithium battery is provided, and a network construction energy storage switching process of the comprehensive energy storage system is provided.

The present invention provides a high-voltage energy storage power system and a battery cluster state precise sensing method thereof. The high-voltage energy storage power system comprises: a battery cluster, a start-up protection circuit, PCS units, a fault bypass circuit, a direct-current side filter inductor, a bus capacitor, PCS unit sub-controllers, and a BMS; direct-current side positive electrodes of the PCS units are sequentially connected in series to the direct-current side start-up protection circuit, the battery cluster, and the direct-current side filter inductor, and then connected to direct-current side negative electrodes of the PCS units; alternating-current side positive electrodes of the PCS units are sequentially connected in series; the bus capacitor is connected in parallel to two electrodes at a direct-current side of each PCS unit; the PCS unit sub-controllers are respectively connected to the fault bypass circuit, the PCS units, the start-up protection circuit, and the BMS; and the BMS is connected to the battery cluster.

The invention provides a low-modulation-ratio topological high-reliability high-voltage direct-hanging energy storage system and method.The system comprises three phases of energy storage unit chains, each phase of energy storage unit chain is formed by cascading a plurality of energy storage units, and the connecting ends of the three phases of energy storage unit chains are sequentially connected with an alternating current side filter inductor in series and then connected with a power grid; the energy storage unit comprises an H-bridge power unit, a bus capacitor, a direct current side filter inductor, a battery side pre-charging device, a direct current side contactor and a battery cluster; the direct current side positive electrode of the H-bridge power unit is sequentially connected with the direct current side contactor, the battery side pre-charging device, the battery cluster and the direct current side filter inductor in series and then is connected with the direct current side negative electrode of the H-bridge power unit, and the alternating current side positive electrode of the H-bridge power unit is sequentially connected in series. According to the invention, the high-voltage direct-hanging energy storage system can fully utilize the DC voltage redundancy to realize the frequency doubling current suppression of the battery cluster by utilizing the low modulation ratio characteristic, and the ripple current pulsation amplitude of the battery meets the national standard requirement under the condition that the device cost is not increased.

The invention discloses an intelligent charging pile core module based on a VIENNA structure, an electric energy quality management method, system and equipment and a storage medium, and belongs to the field of electric power system energy storage equipment.The intelligent charging pile core module based on the VIENNA structure comprises the steps that an integrated power conversion unit is constructed, the power conversion unit adopts a VIENNA rectifier topology, three-phase alternating current is converted into direct current, and the direct current is converted into direct current; a harmonic suppression structure linked with the control interface is arranged; state information in the operation process is collected and serves as input of the control strategy module; based on the state information, a modulation control instruction is generated in the control strategy module to drive the switching action of the power conversion unit; on the basis of the modulation control instruction, the switch control is executed, meanwhile, the direct-current side midpoint potential of the power conversion unit is synchronously adjusted, and the distribution of direct-current bus capacitor voltage is controlled; and identifying the current operation condition according to the state information, switching to a control template corresponding to the operation condition in the control strategy module, and generating a modulation control instruction.

The invention discloses a fuel cell hybrid electric heavy truck power source optimization design method and system, and the method comprises the steps: building a target function of the total cost per unit travelled distance in a life cycle based on the basic parameters of a fuel cell, a power cell and a super capacitor, and the degradation parameters and hydrogen consumption of the fuel cell and the power cell; an energy management strategy of the fuel cell hybrid electric heavy truck is established based on the average required power of the truck and the SOC of the power cell and the super capacitor; and a cancer cell competition and transfer algorithm is adopted, under an energy management strategy, a minimum objective function meeting the driving working condition is searched, and energy size optimization is completed. According to the method, the power source of the fuel cell hybrid electric heavy truck is subjected to global optimization design by adopting the cancer cell competition and transfer algorithm, the service life of the power source is prolonged while the power performance of the truck is guaranteed, the manufacturing cost, degradation cost and hydrogen consumption of a hybrid power system are remarkably reduced, and the energy efficiency of the system is improved.

The invention relates to an active power distribution network energy storage optimization configuration method based on a DeepAR model and reinforcement learning. According to the method, historical load and power generation data are collected, future load is predicted by using a DeepAR model after preprocessing, a cost model is established by combining established charging and discharging characteristic models of a lithium battery and a super capacitor and considering energy power purchase cost and energy storage loss, and various constraint conditions are determined. And then an optimal energy storage charging and discharging strategy is determined through iterative training by using a state representation network, an action value network and a target network in the deep Q network, so that energy scheduling is optimized in a long time, and the cost is minimized. According to the method, load prediction, energy storage characteristics, power cost and constraint conditions are fully considered, the global optimization strategy is determined by applying the deep reinforcement learning algorithm, and the economic benefit of the power distribution network energy storage system can be improved.

The invention discloses a hybrid energy storage capacity configuration method based on an energy storage characteristic and instruction difference dynamic matching strategy and a related device, and relates to the technical field of power system energy storage, and the method comprises the steps: carrying out the mode division according to the amplitude of a total power instruction signal of a hybrid energy storage system, and carrying out the configuration of the hybrid energy storage capacity based on the dynamic matching strategy; distributing the total power instruction signal to a super capacitor and a lithium battery, and calculating the charge states of the super capacitor and the lithium battery; constructing a control configuration integrated model by taking the total power command signal as input and the charge state as feedback; determining value range constraints of the configuration parameters and the control parameters; and under constraint conditions, solving the comprehensive multi-objective optimization function of the control and configuration integrated model by adopting a traversal algorithm to obtain an optimal configuration parameter and control parameter combination, and determining a hybrid energy storage capacity configuration scheme of the hybrid energy storage system. The problems of insufficient energy storage utilization and insufficient frequency modulation precision in a traditional method can be solved.

The present invention provides a battery energy storage parallel equalization converter topology and a control method therefor. The battery energy storage parallel equalization converter topology comprises a series-connected battery energy storage parallel equalization converter, a main converter, and a plurality of groups of filter inductors; in the main converter, the input side of a DC / DC or DC / AC converter is connected in parallel to a parallel voltage-stabilizing capacitor, and the output side of the DC / AC or DC / AC converter is correspondingly connected to an AC or DC source load; the series-connected battery energy storage parallel equalization converter comprises a plurality of groups of small-capacity DC / DC converters and a common DC bus capacitor; the output sides of all the small-capacity DC / DC converters are connected in parallel by means of the common DC bus capacitor to form a common DC bus; the input side of one group of small-capacity DC / DC converters is connected in series to the input side of the main converter, and the input sides of other groups of small-capacity DC / DC converters are connected in series to a battery pack by means of the filter inductors, respectively. According to the present invention, in a battery charging and discharging process, only a small amount of power flows through the converter, reducing the capacity requirements of the converter, and reducing the transmission efficiency.

The invention discloses a hybrid energy storage device control method, equipment and a medium, relates to the technical field of hybrid energy storage system control, and provides a hybrid energy storage device control method for solving the problem that a current lithium battery and a super capacitor are difficult to use in a hybrid manner, and the direct current bus voltage of a hybrid energy storage device is stabilized by using the super capacitor. Based on electrical characteristics, it can be known that the direct-current bus voltage is stable and does not have an over-high peak value. Furthermore, under the condition that the current is constant, the output power does not have an over-high peak value, so that the problem that the lithium battery is not suitable for a high-power scene is solved. Furthermore, in the method, the super-capacitor is only responsible for balancing the voltage of the direct-current bus, and the discharging time is short, so that the problem that the super-capacitor is not suitable for a high-capacity scene can be solved. Therefore, according to the method, the application scene problems of the lithium battery and the super capacitor are solved respectively, and preconditions and an effective control scheme are provided for implementation of the lithium battery-super capacitor hybrid energy storage device.

The invention discloses a thermal power energy storage combined frequency modulation control method and system, and belongs to the technical field of power system frequency modulation control, and the method comprises the steps: S1, carrying out the cooperative control through a DCS, an electrical RTU, and a PMU device, and collecting data in real time; s2, establishing an EMS system, performing real-time monitoring on operation parameters, and performing energy storage available capacity evaluation; s3, judging whether the unit is in an AGC automatic control mode or not, if so, calculating a power deviation value actually sent by the unit, and generating an energy storage system dynamic compensation instruction, otherwise, returning to S1; s4, executing an energy storage system dynamic compensation instruction, and implementing a cooperative control strategy by adopting a hybrid energy storage architecture formed by a super capacitor and a lithium iron phosphate battery; s5, executing the charging and discharging power instruction through the power conversion system, and configuring an electric core level over-charging and over-discharging protection mechanism; and S6, judging whether a primary frequency modulation action signal of the power grid is detected or not, if so, immediately terminating the response of the energy storage system to the power grid AGC instruction and maintaining the current power output state, and if not, returning to S3.

The invention relates to the technical field of regenerative braking energy feedback, in particular to a regenerative braking energy storage and feedback system based on a super capacitor, which comprises a real-time monitoring port, an energy management port and a power distribution optimization port, the monitoring module is used for monitoring the running speed and acceleration of the vehicle and the charging and discharging current, voltage, power fluctuation and residual life of the supercapacitor in real time; the energy management port is used for performing energy distribution between the super capacitor and the battery; and the power distribution control port is used for adjusting the charging and discharging strategy of the super capacitor in real time according to the driving state of the vehicle.

The invention discloses a fuel cell hybrid electric vehicle power distribution method based on heuristic action planning deep reinforcement learning. The method comprises the following steps: establishing a power distribution system model of a fuel cell hybrid electric vehicle equipped with a lithium battery and a super capacitor; a power layered structure is provided, a deep reinforcement learning model of the fuel cell hybrid electric vehicle is designed, a probability transfer matrix of required power is constructed, and model training is performed in a data driving mode; designing a reward function by adopting an equivalent consumption minimum strategy, and guiding optimization of an energy management strategy by fuel economy; the motion space of deep reinforcement learning is improved by adopting heuristic planning, and smooth output of the fuel cell is kept on the premise of reducing equivalent hydrogen consumption. According to the method, power distribution of the three-energy-source fuel cell hybrid electric vehicle can be achieved in a complex and random driving environment, hydrogen consumption is reduced, dynamic adaptability to different driving conditions is improved, and meanwhile the method has the potential of real-time application.

Methods and systems may reliably predict the lifespan characteristics of a lithium secondary battery, for example, the mode of variation in cycle capacity in advance. A method may include a first step of subjecting a lithium secondary battery in a form of a blocking cell to an impedance spectroscopic analysis, a second step of deriving a relationship capacitance for each frequency and a calculating a charge amount, a third step of repeatedly performing the first and second steps, and a fourth step of measuring a capacity for each cycle of the lithium secondary battery and deriving a prediction expression of the capacity for each cycle of the lithium secondary battery.

The invention discloses an active discharge redundancy method for a crane, belongs to the technical field of active discharge of cranes, and aims to solve the problems of low discharge speed, incomplete discharge, single discharge means and incapability of discharging voltage of a fault branch and a bus capacitor of a high-voltage system when a fault occurs in the prior art. According to the method, a certain branch driver is reserved as a system branch for discharging of a system bus, and when other branches fail and cannot discharge, a system branch Km is adopted for discharging. When a system branch discharges, in order to reduce the discharge capacity of a driver of the system branch, low-voltage DCDC and PTC are adopted to discharge a bus capacitor in advance, and after the voltage is reduced to the voltage within the working range, the driver is adopted to perform active discharge, so that the active discharge time of the driver is shortened, and heating of the driver of the branch electric cylinder is reduced. When the whole vehicle breaks down seriously, the bleeder resistor is used for releasing bus voltage, and it is guaranteed that discharging is achieved in the fault state.

The invention provides a new energy automobile energy closed-loop system, method and product based on waste heat cascade recovery. The system comprises a waste heat cascade recovery subsystem for collecting multi-source waste heat of the new energy automobile and converting the multi-source waste heat into electric energy; the dynamic energy management subsystem is used for storing electric energy and determining a power-on path of the new energy automobile according to the state of the new energy automobile, and the state of the new energy automobile comprises the speed change rate of the new energy automobile, the charge state of the super capacitor bank and the charge state of the lithium battery pack; and the self-powered closed-loop control subsystem is used for monitoring the temperature of the battery module in the power-on process of the new energy automobile and calling electric energy to drive a heater when the temperature of the battery module is lower than a preset temperature threshold value so as to realize closed-loop temperature control. Therefore, the waste heat utilization rate of the new energy vehicle can be improved and the closed-loop management of the energy of the whole vehicle can be optimized by performing stepped recovery on the waste heat of the new energy vehicle and supplying power to the vehicle based on thermoelectric conversion.

The invention relates to the technical field of photovoltaic energy storage optimization control, in particular to a photovoltaic energy storage integrated charging and discharging control method and system, and the method comprises the steps: collecting a multi-mode signal, and carrying out the synchronization and denoising of a time-sensitive network, and then carrying out the fusion; generating heat source power density, battery aging parameters and linear embedding state data by using a liquid nerve-thermal power and electrochemical coupled digital twin system; on the basis of a space-time Gaussian process sampling probability scene of the state data, high-dimensional super-symbol coding and mutual information screening compression scene set, determining an optimal charging and discharging state in a quantum-variable temperature global optimization model by combining aging parameters, and generating a reference power trajectory; the neuromorphic chip operates convex model prediction control to output a real-time power instruction; and the inverter executes charging and discharging through pheromone game and self-distillation reinforcement learning, triggers the super capacitor support when the frequency is abnormal, and executes data writing-in distributed account book closed-loop updating. According to the invention, millisecond-level power tracking is realized, and cyclic stress is reduced.

The invention provides a new energy ship energy storage battery system and a control method, and the method comprises the steps: carrying out the electric quantity detection of a target capacitor bank, obtaining the first electric quantity rise time, and predicting the second electric quantity rise time of the target capacitor bank; extracting a power density characteristic in the charging power density sequence, and comparing the power density characteristic with a capacity rising characteristic of the target capacitor bank to obtain the battery convection energy efficiency of the energy storage battery system of the new energy ship; determining target required power of the energy storage battery system based on the current ship navigation state and the static load power; adjusting the discharge state of the energy storage battery pack according to the target demand power and the convection energy efficiency, and correcting a power control parameter when the target capacitor bank is charged according to the first electric quantity rise time and the second electric quantity rise time, so that the response speed of a power controller can be improved when the electric quantity rise speed of the target capacitor bank is relatively slow; and the dynamic performance of the ship is improved under the working condition of frequent load fluctuation.

A battery dynamic-equalization apparatus includes a power battery including a first battery pack and a second battery pack, a motor controller connected to the power battery, a motor connected to the motor controller, and a controller connected to the motor controller. The controller is configured to: control, in a first preset state, a bridge arm of the electric-motor controller to drive the electric motor, cause a first battery pack and a second battery pack to be alternately charged and discharged so as to realize self-heating of the first battery pack and the second battery pack, and to configure the absolute value of the difference value between the capacitance of the first battery pack and the capacitance of the second battery pack to be lower than a preset threshold value.

The present application provides a power converter, comprising: a power conversion circuit and a control circuit. The power conversion circuit comprises an inverter circuit, a direct-current bus capacitor, and a detection circuit, wherein the direct-current bus capacitor is connected in parallel to the inverter circuit. The direct-current bus capacitor comprises a positive bus capacitor and a negative bus capacitor which are connected in series. The inverter circuit comprises bridge arms. The detection circuit is used for measuring the voltage on the two sides of the positive bus capacitor, the voltage on the two sides of the negative bus capacitor, and an output current of each bridge arm. The control circuit is used for, in response to a preset condition, controlling the bridge arm to be switched from outputting two types of levels to outputting three types of levels in one switching period. The preset condition is a condition based on the voltage of the positive bus capacitor, the voltage of the negative bus capacitor, and the output current of the bridge arm. According to the present application, the three-level and two-level hybrid modulation is used, so that the power converter can achieve balance on the output quality of electric energy and power consumption, improving the performance of the power converter.

The invention provides a negative electrode active material and a preparation method thereof, a negative electrode for a sodium ion battery, the sodium ion battery and an electric device. The negative electrode active material comprises a nitrogen-doped carbon sphere matrix and manganese monoxide embedded into the nitrogen-doped carbon sphere matrix, the average particle size of the manganese monoxide is 1.5 nm to 2.5 nm. In the negative electrode active material, the quantum-dot-level MnO is embedded into the nitrogen-doped carbon sphere matrix, so that a tight embedded structure (non-surface loading) of the quantum-dot-level MnO and the nitrogen-doped carbon spheres can be realized, volume expansion when sodium ions are embedded and removed is effectively relieved, and an efficient electron / ion transmission channel is provided. Meanwhile, the quantum dot-level MnO has a larger specific surface area, and provides more adsorption sites with the nitrogen-doped carbon, so that the composite material shows a pseudocapacitance-dominated sodium storage behavior, and is endowed with ultrahigh rate capability and ultra-long cycle life.

The invention discloses a port micro-grid hybrid energy storage capacity optimal configuration method, which comprises the following steps of: firstly, acquiring power generation data, and filtering wave energy and wind energy data by adopting a sliding filtering algorithm according to a grid power fluctuation standard to reduce power fluctuation; decomposing the power demand of the hybrid energy storage system through a variational mode decomposition technology, and separating power components in different modes; carrying out feature extraction and analysis on the power component of each mode by utilizing Hilbert transform, and optimizing a power distribution strategy; and finally, combining economic evaluation models of the battery and the super capacitor to realize capacity optimization configuration of the hybrid energy storage system. According to the method, the capacity minimization configuration of the battery and the super capacitor can be realized, and the operation efficiency and the economical efficiency of the port micro-grid hybrid energy storage system are effectively improved.

The invention belongs to the technical field of transformer control, and particularly relates to a new energy transformer control method considering hybrid energy storage access, and the method comprises the steps: building a new energy transformer grid-connected architecture which comprises a distributed power supply, an electrochemical energy storage and super-capacitor hybrid energy storage system and a load; establishing a new energy transformer node power matching model according to source network load storage input and output characteristics; a hybrid energy storage control model is established based on electrochemical energy storage and super capacitor charging and discharging characteristics; optimizing an input and output model of the hybrid energy storage system according to a time-of-use electricity price policy; constructing a multi-objective optimization function with the minimum fluctuation, the lowest loss and the maximum operation benefit; and carrying out normalization weighting on the minimum fluctuation, the lowest loss and the maximum operation income to solve a comprehensive optimization target, and dynamically adjusting the input power of the transformer. The method aims at optimizing cooperative work of an electrochemical energy storage system and a super-capacitor energy storage system, optimizing a new energy transformer adjusting strategy and achieving reliability and economics of system operation.

The embodiment of the invention provides a charging method, the method is applied to a first terminal device to charge a second terminal device, the first terminal device comprises a battery, a first switched capacitor circuit and a wired charging interface, and the first switched capacitor circuit is electrically connected between the battery and the wired charging interface. The wired charging interface is connected with the second terminal device through an OTG data line, and the method comprises the following steps: in response to a reverse charging mode of the first terminal device selected by a user, determining that the first terminal device is a main device for providing electric energy in OTG connection; and controlling the first switched capacitor circuit to increase a first output voltage of the battery to a second output voltage, and outputting the second output voltage to the wired charging interface so as to transmit the second output voltage to the second terminal device through the OTG data line. According to the charging method provided by the invention, the charging power of reverse charging can be improved, the efficiency of reverse charging is higher, and the problem of heating during reverse charging is reduced.

A diesel generator starting system comprises a charger (200) which is provided with a positive electrode interface (210) and a negative electrode interface (220); the diesel generator starting system further comprises a super capacitor (400). The super capacitor is provided with a positive terminal (410), a negative terminal (420) and a starting terminal (430); the positive electrode interface of the charger is connected with the positive electrode terminal of the super capacitor; a cathode interface of the charger is connected with a cathode terminal of the super capacitor and is used for being connected with a cathode of a starting interface of a diesel generator (100); the starting terminal of the super capacitor is used for being connected with the positive electrode of the starting interface of the diesel generator. According to the diesel generator starting system, by means of the advantages of high power, long service life, no maintenance and low temperature resistance of the super capacitor, reliable and stable starting of the diesel generator is guaranteed.

The invention discloses a low-temperature exposed lithium battery aging damage diagnosis method based on electrochemical nondestructive characterization, which comprises the following steps: firstly, acquiring electrochemical response data of a to-be-tested battery through electrochemical impedance spectroscopy (EIS) test and incremental capacity analysis (ICA); secondly, key characteristic parameters capable of representing ohmic internal resistance, charge transfer resistance and electric double-layer capacitance of the battery and phase change peak position, peak area, half-peak width and the like are extracted; and then, training a joint prediction model based on machine learning by using the extracted multi-dimensional features to judge whether the to-be-detected battery is subjected to over-low-temperature exposure or not and judge the current aging damage degree of the to-be-detected battery. According to the method, unique aging paths introduced by normal aging and low-temperature exposure can be effectively distinguished through a nondestructive testing means, accurate'traceability 'of historical damage of the battery and quantitative evaluation of the current state are achieved, and reliable technical support is provided for intelligent decision making of a battery management system (BMS), battery safety early warning and echelon utilization.

A battery management system includes a sensor to sense voltage and current of a battery, memory to store over-potential management information including reference peak and reference peak voltage values, and a controller to command constant-current charging using a maximum allowable C-rate to a charging circuit when the reference peak value is equal to or larger than a threshold peak value, in response to a charge request, determine a differential capacity curve indicating a correlation between the voltage and differential capacity of the battery within a range based on the sensed voltage and current during the charging, determine main peak and main peak voltage values indicating differential capacity and voltage of a peak of the differential capacity curve, respectively, and update the reference peak and reference peak voltage values to equal the main peak and main peak voltage values, when the main peak value is less than the threshold peak value.

The invention discloses a new energy unmanned ship battery power control method and system, and the method comprises the steps: an unmanned ship total system sends a start-stop instruction to a BMS, and carries out the automatic awakening and starting of a battery pack; after the BMS is started, the voltage of a battery module, the current of a main loop and the temperature of key components are detected, and if normal, a pre-charging circuit is started to pre-charge a high-voltage loop capacitor; after pre-charging is completed, the BMS disconnects the auxiliary contactor and closes the main contactor, and the battery module supplies power to the electric equipment; during operation, the BMS acquires operation data in real time and uploads the operation data to the unmanned ship total system for monitoring through an external CAN bus; when the multiple battery packs are connected in parallel, cooperative charging and discharging control is carried out through an external CAN bus; the unmanned ship main system sends a shutdown instruction, and the BMS cuts off the main contactor; when abnormity is monitored, the BMS triggers the main fuse to fuse and cuts off self power supply. According to the method, the problem of safe starting is solved, the battery state monitoring precision is improved, a multi-dimensional safety protection system is constructed, and multi-battery-pack cooperative control is optimized.