181 results about "Overcharge" patented technology

The invention relates to a lithium ion battery overcharge thermal runaway early warning method, early warning device and processing equipment, and the lithium ion battery overcharge thermal runaway early warning method comprises the steps: obtaining an electrochemical impedance spectrum of a lithium ion battery, and obtaining a single-point frequency in a low-frequency region of the electrochemical impedance spectrum; performing direct current charging on the lithium ion battery, and injecting an alternating current power supply of which the frequency is a single-point frequency into the lithium ion battery; acquiring a voltage component and a current component of the lithium ion battery under the alternating current power supply; acquiring the electrochemical impedance of the lithium ion battery according to the voltage component and the current component; and generating overcharge early warning information according to the condition that the imaginary part amplitude of the electrochemical impedance or the real part amplitude of the electrochemical impedance meets a preset condition. Through the technical scheme disclosed by the invention, the problem of lithium ion overcharge thermal runaway can be found in time, the problem of explosion fire caused by thermal runaway caused by lithium ion battery overcharge is avoided, and the operation safety of the energy storage system is ensured.

The invention discloses a lithium battery overcharge early warning system based on big data, and the system comprises a data collection module, a data processing module, a dynamic threshold generation module and a risk analysis module, and relates to the technical field of data processing. A local mean value and a standard deviation are calculated by using a sliding window method, a similar data cluster is constructed by using a dynamic time warping algorithm, and overcharge voltage and temperature thresholds are calculated in combination with a preset risk ratio, so that the limitation of a single Gaussian mixture model is avoided, and the accuracy of the thresholds is improved. Historical data are also acquired, a prediction model is constructed by using an autoregression integral moving average model, a slope is calculated to obtain a correction factor, an aging model constructed by machine learning is combined to update a threshold value, dynamic change and aging of the battery are combined, battery state change is adapted, and early warning reliability and timeliness are improved.

The invention provides an interactive control system and method for a power module and an overcharge pile, a storage medium and a computer program product, and the method comprises the steps: obtaining a charging control parameter according to the input time sequence state data of a battery through a charging control parameter prediction model based on deep learning; generating a power instruction according to the charging control parameter and sending the power instruction to the power module; after the power supply module executes the power instruction, an instruction execution result and battery state data are transmitted back to the overcharge pile main control software; and the overcharge pile main control software adjusts the weight of the charging control parameter prediction model according to the received data or regenerates a power instruction based on the latest battery time sequence state data. According to the invention, the charging time can be shortened, the risks of overheating, overcharging and the like can be prevented, different battery states and complex working conditions can be adapted, and the real-time requirement of an overcharging scene on a control instruction and state data can be met.

The invention relates to a power battery protection method, a storage medium, electronic equipment and a vehicle. The method comprises the steps that under the condition that starting conditions of an overcharge early warning mode are met, a vehicle is controlled to enter the overcharge early warning mode; in the overcharge early warning mode, according to the highest single voltage of the power battery, a first voltage threshold value and the current maximum allowable charging power, an update value of the maximum allowable charging power is determined, and the update value is smaller than the maximum allowable charging power before update; and controlling the power battery according to the updated value. Therefore, the charging power of the power battery can be reduced by reducing the maximum allowable charging power, so that the risk of overcharging of the power battery is reduced, the service life of the power battery is prolonged, and potential safety risks are avoided.

The invention belongs to the technical field of lithium ion battery safety, and provides a lithium ion battery overcharge damage risk early warning method and system, and the method comprises the steps: obtaining the voltage, current, capacity and other data of a lithium ion battery sample in an abnormal working condition test; based on a physical and chemical reaction mechanism in the battery, establishing an electrochemical-thermal coupling damage model of the lithium ion battery; identifying key parameters by using the electrochemical parameters, solving the change of the key parameters in the battery damage evolution process, constructing a damage degree quantitative evaluation model, and calculating the damage degree of the target battery according to the quantitative relationship between the electrochemical parameters and the battery damage degree; and configuring a decommissioning damage threshold according to the capacity attenuation, the battery health state and the side reaction to the battery performance degradation mechanism, comparing the damage degree of the target battery with the decommissioning damage threshold, determining the damage risk level of the target battery, and performing early warning. The method can achieve the quantitative evaluation of the damage degree of the battery, and provides a scientific basis for decommissioning decision.

The invention provides a power battery anti-overcharge method and system of a fuel cell automobile and a vehicle, and the power battery anti-overcharge method of the fuel cell automobile comprises the steps: judging whether a power battery has an overcharge risk or not based on the working condition of the whole automobile and the real-time state of the power battery; if the overcharge risk exists, controlling the fuel cell system to reduce the output power; if the output power is reduced to the lowest stable operation power and the net output power is still higher than the current allowable maximum charging power of the power battery, the fuel cell system is controlled to enter a self-consumption mode, and the electric energy generated by the fuel cell system is guided to an internal auxiliary machine for auxiliary consumption; and maintaining the net output power not to be greater than the current allowable maximum charging power. The overcharge risk when the charging capacity of the battery is reduced due to low temperature or energy recovery is effectively solved, direct shutdown is replaced by intelligent hierarchical control, the start-stop frequency of the fuel battery is remarkably reduced, the service life of the fuel battery is prolonged, and the economical efficiency of the whole vehicle is improved.

The invention relates to the technical field of artificial intelligence, in particular to an electrochemical energy storage battery overcharge safety early warning method based on a large model, which comprises the following steps: collecting a literature data set, an experiment data set, an expert experience set and phenomenon description information; then, energy storage mechanism entities are extracted through a BERT-NER algorithm, and a mechanism map is constructed in a pairing mode; collecting energy storage bin detector data in real time, calculating a time sequence characteristic change rate, and generating a detection cue word in combination with phenomenon description; and inputting the mechanism graph and the cue word into a large language model for training, and generating a prediction result. According to the method, multi-source data are fused, the overcharge risk is effectively early warned through large model analysis, and safe operation of the electrochemical energy storage battery is ensured.

The invention discloses a lithium ion battery overcharge thermal runaway analysis method, which comprises the following steps: carrying out an adiabatic overcharge thermal runaway experiment on a lithium ion battery, and recording state parameters of the lithium ion battery in real time; and performing stage division on the adiabatic overcharge thermal runaway process of the lithium ion battery according to the change of the state parameters of the lithium ion battery, determining the states of the lithium ion battery corresponding to different stages, and evaluating the thermal runaway risk levels of the lithium ion battery at different stages. When the lithium ion battery is applied to power equipment such as a new energy automobile, analysis can be assisted by the analysis method once a thermal runaway accident occurs, so that the investigation process of the thermal runaway accident can be accelerated and simplified in an assisted manner, and the thermal runaway accident can be investigated efficiently at low cost. Meanwhile, the analysis method can assist in monitoring the charging state of the lithium ion battery so as to ensure the use safety of the lithium ion battery and reduce the occurrence of thermal runaway accidents.

The utility model discloses a charging power cabinet and a charging system suitable for realizing overcharge full matrix switching, the charging power cabinet is suitable for being connected with a plurality of charging terminals, the plurality of charging terminals at least comprise an overcharge terminal and the rest are fast charge terminals, the charging power cabinet comprises a power supply module, a power distribution module and a charging control module, the power distribution module comprises output buses and a plurality of switches, the number of the output buses is consistent with that of the power supply units in the power supply module, each fast charging terminal is connected with one output bus, and the output buses are fast charging buses; each overcharge terminal is connected with two output buses, and the two output buses are both overcharge buses; moreover, at least one disconnection bus is not connected with any charging terminal, and any output bus which is not directly connected with the overcharge bus or the disconnection bus is connected to any overcharge bus or disconnection bus through a fourth switch. The charging power cabinet can realize full-matrix switching of the over-charging terminal.

The invention discloses a method for carrying out overcharge protection by utilizing a voltage change rate, which comprises the steps of S1, monitoring the voltage change rate in real time, S2, carrying out data analysis processing and early warning, S3, processing an abnormal condition, S4, carrying out settlement comparison on a recorded result and the like, so as to obtain an abnormal result of the voltage change rate of a battery. According to the method, by monitoring the voltage change rate of the battery in real time, the abnormal performance of the battery can be found in time, the real-time performance and the accuracy of battery testing are improved, the safety and the reliability of the battery can be guaranteed, early warning can be carried out on the overcharge condition of the battery, and potential safety hazards caused by overcharge and overdischarge of the battery due to personnel errors are prevented; and meanwhile, the service life of the battery is ensured, and the abnormity of the voltage change rate can be found in time, so that the battery failure is effectively prevented, the use safety and reliability of the battery are improved, and the safety of testers is also ensured.

The invention discloses a battery overcharge aging detection method and device, electronic equipment and a medium, relates to the field of power electronics, and considers that the capacity and the ohmic internal resistance of a battery in the charging and discharging process change continuously, the ohmic internal resistance of the battery is iterated in real time by using a particle swarm algorithm in the scheme. The most accurate current ohmic internal resistance in the ohmic internal resistance iterated by the particle swarm algorithm is determined according to the current end voltage and the current end current detected in real time in the unit constant-current charging and discharging period; the change rate of the capacity peak value of the battery and the relative change rate of the internal resistance capacity are obviously different from those in a normal aging condition, so that the change rate of the capacity peak value of the battery and the relative change rate of the internal resistance capacity need to be determined, and the overcharge aging degree of the battery is further determined. According to the scheme, the overcharge aging degree of the battery can be accurately determined without disassembling the battery.

The invention relates to the technical field of battery replacement cabinet charging detection, and provides a charging detection method and system for batteries of a battery replacement cabinet. The method comprises the following steps: setting initial parameters according to layout information of a charging bin of a battery changing cabinet; determining a candidate strategy based on the initial parameters in combination with voltage overcharge protection and current overcurrent protection conditions; based on a candidate strategy, configuring a first regulation and control vector in a gain space in a stepped manner by direct-current voltage, and configuring a second regulation and control vector in a digital space in a stepped manner by a pulse width duty ratio; establishing a charging strategy search space through the two types of regulation and control vectors; and performing Pareto screening in the space to obtain a service life, efficiency and safety performance non-dominated solution set, and determining an optimal strategy, so as to solve the technical problem that safety, charging efficiency and cycle life optimization are difficult to consider in the charging process of the battery of the battery changing cabinet, and achieve the purposes of constructing a charging strategy search space through a multi-dimensional regulation and control vector and performing Pareto screening to obtain a charging strategy. The technical effects of prolonging the charging and discharging service life, improving the charging efficiency and improving the safety performance are achieved.

A hybrid vehicle control method and apparatus, a device, a hybrid vehicle, and a storage medium. The method comprises: when in an overcharge prevention mode, determining the actual SOC value of a power battery; determining a first target power corresponding to the actual SOC value, wherein there is a positive correlation between the actual SOC value and the first target power, and the first target power does not exceed the maximum charge / discharge power of the power battery; determining an actual power currently required by the hybrid vehicle, and determining a second target power on the basis of the actual power and the first target power, wherein the second target power = the actual power - the first target power; and setting the output power of a power component of the hybrid vehicle to the second target power. According to the control method, the hybrid vehicle is controlled by means of the second target power obtained after the first target power is subtracted, and thus, overcharge of the power battery can be effectively prevented.

The invention relates to the technical field of lithium batteries, and provides a lithium battery overcharge protection control method and system, and the method comprises the steps: obtaining a voltage value, a voltage change rate, a temperature value and a temperature change rate of each battery cell in a lithium battery, carrying out the interval consistency correction, constructing a battery cell state data set and a change trend feature set, carrying out the state trend analysis, and obtaining a state data set; obtaining the current risk grade and the composite risk factor value of each battery cell, matching the composite risk factor value with the current risk grade to obtain a charging adjustment instruction set, and adjusting a charging control module of the lithium battery according to the charging adjustment instruction set. Through trend analysis, temperature rise change in a future charging period is accurately simulated, and critical proximity and abnormal probability are evaluated in combination with a temperature rise safety interval, so that early warning is realized, real-time control of charging current limiting and voltage amplitude limiting is realized, and the problem of protection delay or excessive protection in a complex battery environment in the prior art is solved.

The invention relates to the technical field of lithium battery charging equipment, in particular to an overcharge protection lithium battery charger which comprises a shell, a charging protection board circuit and an output power port. The charging protection board circuit is provided with a monitoring protection module, a mechanical protection module and a logic control module. The monitoring protection module accurately identifies an overcharge abnormal state by measuring a lithium battery AC impedance spectrum in real time, and rapidly triggers the electronic protection unit to execute a cut-off action. And if the electronic protection fails, the mechanical protection module acts quickly, and the charging loop is physically disconnected. The logic control module coordinates automatic switching of the two protection modes, and the intelligence and reliability of protection are improved. The lithium battery charger is simple and reasonable in structure, high in monitoring sensitivity and rapid and reliable in protection action, has a perfect redundancy protection structure and a convenient reset mechanism, effectively overcomes the defects in the prior art, and remarkably improves the safety performance and reliability of the lithium battery charger.

The invention discloses an electric container truck overcharge facility collaborative planning method considering traffic network-power grid interaction, and the method comprises the steps: building a charging demand space distribution model according to the energy consumption heterogeneity characteristics of multiple types of transportation tasks of an electric container truck; a node marginal electricity price mechanism is introduced, and a charging station selection equalization model with the purpose of total cost minimization is established; based on a direct current optimal power flow model theory, constructing a power distribution network operation model taking the minimization of the total power generation cost as a target; the method comprises the following steps: constructing an electric container truck overcharge facility collaborative planning model considering traffic-power network interaction, carrying out conversion processing on the model to obtain a plurality of differentiable obstacle sub-problems, and solving the plurality of differentiable obstacle sub-problems by using an interior point method to obtain a traffic network-power network interaction overcharge facility optimization setting scheme. According to the method, the problem of collaborative optimization of charging facility deployment and power grid impact in electric transformation in the field of port collection and distribution is solved, efficient and stable collaborative decision support is provided for port electric container truck charging network planning, and the method has remarkable application value.

The utility model relates to the technical field of batteries, and discloses an over-current fusing structure for avoiding secondary contact and a battery, the over-current fusing structure for avoiding secondary contact comprises a connecting sheet which is electrically connected with a battery cell and a busbar, the connecting sheet is provided with a fusing part which is fused when the current exceeds a set value, and the fusing part is provided with an insulated fixing piece; when the battery is abnormal in the using process, such as over-charging or over-discharging, the current passing through the connecting piece is too large instantly, or when the current passing through the fusing part exceeds a set value in the using process of the battery, the fusing part is fused, so that the electrical connection between the battery core and the outside is cut off, and after the fusing part is fused, the battery can be quickly maintained and replaced, and meanwhile, the service life of the battery is prolonged. And after the fusing part is fused, the fixing piece arranged on the fusing part is used for connecting and fixing the connecting sheet, and the fixing piece is insulated, so that the secondary electrical connection contact of the battery cell is avoided, and greater harm is avoided, and the fused connecting sheet can be quickly disassembled and replaced.

The invention provides a model training method, a battery cell overcharge detection method and related equipment, and relates to the technical field of battery cell detection. The training method comprises the following steps: acquiring performance data of a battery cell sample and a corresponding overcharge test result; feature extraction is carried out on the performance data of the battery cell sample, a first feature set is constructed, and the first feature set is used for representing features determined according to the performance data of the battery cell sample; screening features meeting a preset correlation condition with the overcharge test result from the first feature set, and constructing a second feature set; screening features of which the feature contribution degrees exceed a preset contribution degree threshold value from the second feature set, and constructing a third feature set; and training the to-be-trained overcharge detection model based on the features in the third feature set and the corresponding overcharge test result, and if a training stop condition is satisfied, obtaining a target overcharge detection model so as to perform overcharge prediction by using the target overcharge detection model.

The invention discloses an overcharge system and a control method thereof, and relates to the technical field of charging. The system comprises a multi-winding transformer, at least two charging modules and at least two charging interfaces, one end of each charging module is correspondingly connected with a secondary winding of the multi-winding transformer, and the other end of each charging module is correspondingly connected with at least one charging interface; the charging module comprises a first charging unit, M second charging units, a first switch unit and a second switch unit, one end of the first charging unit and one end of each second charging unit are connected with the corresponding secondary winding, and the other end of the first charging unit is connected with each charging interface corresponding to the charging module through the first switch unit; the other end of each second charging unit is connected with a charging interface corresponding to the charging module through a second switch unit; wherein the first charging unit is a two-stage transformation topology, and the second charging unit is a single-stage transformation topology. Therefore, the charging efficiency of the overcharging system is improved.

The invention is suitable for the field of power distribution network optimization scheduling, and discloses a day-ahead-day collaborative management and control method, system and device considering distribution network overcharge load fluctuation stabilization and a high-quality power supply target, and a medium, and the method comprises the steps: obtaining EV parameters, and employing a Monte Carlo method to simulate multiple types of EV loads; on the basis of the EV load, taking system operation economic optimization as an objective function, constructing a day-ahead optimization model in combination with multi-type constraints, and obtaining output instructions of OLTC, CB, a storage battery, photovoltaic and a super capacitor as day-ahead optimization results through a Gurobi solver; based on the updated EV load and the day-ahead optimization result, taking system economy and node voltage deviation as objective functions, combining the multi-type constraints, constructing an intra-day optimization model, obtaining optimized photovoltaic and super capacitor output instructions through a Gurobi solver, and combining output instructions of OLTC, CB and a storage battery to complete day-ahead-intra-day collaborative management and control. Source load fluctuation is stabilized, the service life of a storage battery is prolonged, and safe and economical operation of a power distribution network is promoted.

The utility model provides an overcharge energy storage container. The system comprises a box body, an energy storage module, an overcharge host and electrical equipment. The energy storage module is arranged in the battery cabin; the energy storage module comprises a plurality of stacked battery packs; and the over-charging host is arranged in the over-charging cabin. And the overcharge host is electrically connected with the energy storage module. And the electrical equipment is arranged in the equipment cabin. The electrical equipment comprises an energy storage converter and a power distribution cabinet, the energy storage converter is electrically connected with the energy storage module, and the power distribution cabinet is electrically connected with the overcharge host. The over-charge energy storage container can realize an over-charge function, greatly shortens the charging implementation, and improves the charging efficiency.

The present application provides a data line charging protection method, system, device, and storage medium. The method extracts charging information and overcharge information of a target data line in a normal charging state from historical charging data, determines the steady-state reference value of the voltage when the target data line switches from an overcharge state to a normal charging state through all safety margins, determines the load limit value of the voltage when the target data line switches from a normal charging state to an overcharge state through the overcharge information and the trickle charging data of the target data line in a trickle charging state, converts the load limit value into an overcharge threshold through a critical compensation value, and safely switches the charging state of the target data line during the charging process based on the steady-state reference value and the overcharge threshold. The above scheme provides overcharge protection for the data line charging process based on charging state switching, can realize dynamic overcurrent switching of the data line charging state, and can improve the anti-interference performance of the automatic step jump when the data line charging reaches equilibrium.

The present application belongs to the technical field of lithium ion battery safety, and provides a lithium ion battery overcharge damage risk early warning method and system, obtains voltage, current and capacity data and the like of a lithium ion battery sample in abnormal working condition test testing; based on the internal physical and chemical reaction mechanism of the battery, a lithium ion battery electrochemical-thermal coupling damage model is established; key parameters are identified using the same, the change of the key parameters in the battery damage evolution process is solved, a damage degree quantitative evaluation model is constructed, the damage degree of the target battery is calculated according to the quantitative relationship between the electrochemical parameters and the battery damage degree; according to the capacity attenuation, the battery health state and the battery performance deterioration mechanism of the side reaction, the retirement damage threshold value is configured, the damage degree of the target battery is compared with the retirement damage threshold value, the damage risk grade of the target battery is determined, and early warning is carried out. The present application can realize quantitative evaluation of the battery damage degree, and provide a scientific basis for retirement decision.

The invention relates to the technical field of new energy vehicle overcharge prevention, and discloses a new energy vehicle charging overcharge prevention mechanism which comprises a vehicle body, a charging gun insertion core and an access insertion core and further comprises an insertion opening formed in the vehicle body. And the connecting seat is connected to the interior of the jack in a sliding manner and is fixedly connected with the access insertion core. The charging current change is sensed in real time through the current sensing coil, the mechanical locking and releasing action is directly driven through the current magnetic effect, when the battery is nearly fully charged and the charging current is reduced to a preset threshold value, the magnetic field intensity is reduced, and the ejector pin is rapidly reset under the elastic effect of the second spring to trigger the trigger part; the automatic separation of the charging gun insertion core and the access insertion core is realized, and the over-charging phenomenon is effectively prevented.

The present invention discloses a charging method for a lithium battery pack capable of achieving safe charging and a lithium battery pack. In this method, the overcharge detection switching circuit outputs the positive electrode voltage of the first lithium battery in the second lithium battery pack to the charger in the default state. The overcharge detection switching circuit continuously detects whether any lithium battery in the first lithium battery pack is overcharged. When any lithium battery in the first lithium battery pack is overcharged, if the current charger performs overcharge detection on the first lithium battery pack, the overcharge detection switching circuit will then switch and output the voltage representing that any lithium battery in the first lithium battery pack is overcharged to the charger, and the charger stops charging the lithium battery pack to achieve overcharge protection. The advantages are that on the basis of being compatible with the original charger, the switch is only switched when the first lithium battery pack is overcharged, and the switch is not frequently switched, the charging noise is small, the service life is long, and the risk of safety accidents is reduced.

The invention discloses an overcharge lithium ion battery electrolyte and a battery, and relates to the technical field of lithium ion batteries. The electrolyte comprises a lithium salt, a non-aqueous solvent and an additive, wherein the additive comprises a first additive and a second additive; the non-aqueous solvent includes a first solvent. The low-viscosity first solvent is introduced into the electrolyte, so that the viscosity of the electrolyte is reduced, the conductivity and the rate capability are improved, meanwhile, the first additive and the second additive are also added to achieve a synergistic effect, and the defect of high-temperature instability caused by the electrolyte is improved while the conductivity of the electrolyte is improved and the viscosity of the electrolyte is reduced. The electrolyte is used for the lithium ion battery, and the battery has excellent rate capability brought by a low-viscosity solvent and excellent high-temperature performance brought by the synergistic effect of the electrolyte and an additive.

The present invention provides the preparation and application of an overcharge protection agent for electrolytes based on azatetracene and azapentacene. Advantageous effects of the present invention: The overcharge protection agent for electrolytes based on azatetracene and azapentacene described in the present invention has a relatively high redox potential, which is between 3.4 V and 4.5 V, has good solubility in the electrolyte, can effectively prevent the overcharge of the battery, has no negative impact on the battery performance, has a relatively low cost, and the preparation process is simple and pollution-free.

An integrated protection method for a flow battery energy storage system belongs to the technical field of flow battery systems, and comprises the following steps: S1, adopting a layered architecture design for a system architecture; s2, adopting a multi-stage protection mechanism through a safety and fault management scheme designed based on a system architecture design thought; S21, constructing a battery over-charge / over-discharge protection function; s22, constructing a thermal runaway early warning, and triggering a shutdown function; and S23, three-level safety protection is set between the PCS and the BMS. On the basis of BMS and PCS cooperative control, strategy optimization is implemented, the efficiency and safety of the integrated energy storage system can be remarkably improved, a control algorithm such as self-adaptive PID adjustment is improved, the charging and discharging process can be accurately balanced, and the overload or undervoltage risk is prevented. The collaborative design ensures seamless matching of the battery state and the power output, and provides reliable support for an overall energy storage scheme.

This invention relates to the field of artificial intelligence technology, and more particularly to a method for overcharge safety early warning of electrochemical energy storage batteries based on a large model. The method includes collecting literature datasets, experimental datasets, expert experience sets, and phenomenon description information; then, using the BERT-NER algorithm to extract energy storage mechanism entities and constructing a mechanism map; real-time acquisition of energy storage chamber detector data, calculation of time-series feature change rates, and generation of detection prompt words based on phenomenon descriptions; and inputting the mechanism map and prompt words into a large language model for training to generate prediction results. This invention integrates multi-source data and effectively warns of overcharge risks through large model analysis, ensuring the safe operation of electrochemical energy storage batteries.

The invention discloses a battery monomer, a battery device, an energy storage device and a power utilization device. A battery includes a housing, an electrode assembly, and an overcharge protection mechanism. The shell is provided with a first wall, the electrode assembly is arranged in the shell, and the overcharge protection mechanism is arranged on the first wall. Wherein the electrode assembly comprises a gas generating agent, and the gas generating agent comprises at least one of carbonate, oxalate or chlorate. According to the technical scheme provided by the invention, the reliability of the battery device can be effectively improved.