6004 results about "Fast charging" patented technology

The invention relates to a battery monomer, a battery device and a power utilization device, the battery monomer comprises an electrode assembly and an electrolyte, and the electrode assembly comprises a positive pole piece and a negative pole piece; the positive pole piece comprises a positive pole current collecting part and a positive pole film layer; the positive pole film layer comprises lithium-containing phosphate with an olivine structure; the negative pole piece comprises a negative pole current collecting part and a negative pole film layer, and the negative pole film layer comprises a carbon-based material; the electrolyte comprises a carboxylic ester solvent, a first additive and fluorine-containing lithium sulfimide, and the mass content of the carboxylic ester solvent is 8%-60%; the total mass content of the first additive is 2.5%-10%, the first additive comprises 1, 3-propane sultone with the mass content larger than or equal to 0, an ethylene carbonate derivative with the mass content larger than or equal to 0 and vinylene carbonate with the mass content larger than 0, and the ethylene carbonate derivative comprises a compound shown in the formula A; the mass content of the fluorine-containing lithium sulfimide is 4%-8%. According to the invention, the rapid charging performance and the cycle performance of the battery monomer can be improved. # imgabs0 # formula A

A direct current (DC) fast charger for charging a battery of an electric vehicle (EV) includes a primary circuit having seven bidirectional switches electrically linked to a primary wire of a transformer and configured to receive an alternating current (AC) voltage; and a secondary circuit comprising a plurality of diodes arranged to rectify the AC voltage into a DC voltage, electrically linked to the secondary leads of the transformer such that the DC fast charger unidirectionally converts the AC voltage received at the primary circuit into the DC voltage output by the secondary circuit.

The invention relates to a power adapter charging protocol identification and compatibility self-learning optimization method. After the adapter establishes physical connection with a target terminal, a voltage signal output by the target terminal is collected, a handshake data sequence is formed, feature extraction is performed on the handshake data sequence, and a first protocol feature vector is generated. And performing similarity matching on the feature vectors in a protocol feature library to determine a historical protocol category and extract a corresponding historical charging parameter template. And during voltage and current step-by-step adjustment, collecting target terminal load impedance change data, extracting impedance spectrum features, and fusing the impedance spectrum features with the first protocol feature vector to form an enhanced protocol feature vector. And based on the enhancement protocol feature vector and the historical parameter template, predicting negotiation parameters supported by the target terminal, generating a predicted negotiation parameter set, and applying the predicted negotiation parameter set to a charging negotiation process, thereby realizing stable charging output with the target terminal. According to the method, the compatibility and the self-adaptive capability of the power adapter to various fast charging protocols can be improved.

The invention relates to a storage battery quick charging safety control method, device and equipment and a storage medium. The method comprises the following steps: modeling an equivalent circuit and a thermal equivalent circuit of the storage battery to obtain a dynamic decoupling matrix; battery safety state data are obtained through parallel calculation; performing abnormal mode recognition to obtain an abnormal mode recognition result; inputting an abnormal mode recognition result into a heterogeneous graph gate loop unit, and extracting spatial-temporal features through heterogeneous graph convolution and a GRU structure to obtain deep fault features; calculating the charging safety capacity, and carrying out multiple constraint control on the thermal management and the charge state of the battery to obtain a charging power distribution scheme; the charging power distribution scheme is input into the two-stage model prediction controller for distributed power redistribution, a charging control instruction is obtained, the battery state can be monitored in real time, the abnormal mode can be accurately recognized, self-adaptive control is carried out based on multiple constraints, and the safe and efficient fast charging process is achieved.

The invention discloses a lithium battery high-safety rapid charging method based on deep reinforcement learning. The lithium battery is modeled by using an SP + model; according to pulse working conditions set for the lithium battery in different degradation stages, SP + model parameters under different SoH, different SoC, different temperatures and different multiplying power are obtained through identification; constructing an improved deep reinforcement learning SAC algorithm, and defining a reward function; the SP + model is used as an interaction environment of an agent for improving the SAC algorithm, offline training is carried out on the agent based on a reward function, and the agent of the SAC algorithm learns to provide an optimal safe and fast charging strategy under different SoH, different SoC, different temperatures and different multiplying power; the method is used for a lithium battery, online testing is carried out under different SoH, different SoC, different temperatures and different multiplying power, and an optimal safe and rapid charging strategy is output. According to the method, a complex environment can be better understood and processed, and the method has better generalization ability and adaptivity.

The invention provides a lithium battery equalization thermal management method. Real-time temperature data is obtained by constructing a thermal distribution monitoring network, the temperature difference between a center and an edge area is analyzed, a thermal load distribution coefficient is calculated, and a dynamic heat dissipation intensity adjustment model is established; driving the multi-channel cooling system to operate according to the heat dissipation demand priority, and adjusting the flow distribution proportion of a cooling medium; a dynamic nonlinear feedback correction mechanism is adopted, secondary adjustment is carried out for uneven temperature distribution, and an optimal heat dissipation parameter combination is determined in combination with historical data. Uniformity control over temperature distribution of the battery module is achieved, the problem of heat accumulation in a center area is effectively solved, the heat dissipation efficiency under the rapid charging working condition is improved, and the safety performance and the service life of the battery module are guaranteed.

A thermal management system adaptive to super fast charging and a vehicle. The thermal management system comprises a refrigerant circulation, a motor coolant circulation and a battery coolant circulation. The refrigerant circulation comprises a compressor (1), an outside heat exchanger (4), a motor heat exchanger (10), and a battery heat exchanger (12). When a power battery is fast charged, a gaseous refrigerant flows out from an outlet of the compressor (1), passes through the outside heat exchanger (4) for heat dissipation, and then passes through the motor heat exchanger (10) for heat dissipation, to dissipate heat to the motor coolant circulation; and when passing through the battery heat exchanger (12), the refrigerant absorbs the heat of the battery coolant circulation, so as to cool the power battery. Therefore, by optimizing existing thermal management system architectures, the refrigerant circulation is associated with the coolant circulation, and radiators in the circulations are fully utilized, so that the heat dissipation efficiency is effectively improved when the power battery is fast charged.

The invention relates to the technical field of lithium ion batteries, in particular to a lithium ion battery safe optimization rapid charging control method, which comprises the following steps: S1, constructing a lithium ion battery electric heating aging coupling model, determining a model control equation, and establishing an offline charging environment required by reinforcement learning according to the model; s2, initializing a strategy network and two value networks, defining a reinforcement learning state space and an action space, and setting a charging reward function and a cost function; s3, state space variables are updated according to the battery model in the step S1, and the current state, the charging action, the reward value, the cost value and the state at the next moment are added to an experience pool, rapid charging with electric heating perception and health awareness can be achieved, the expression form of a multi-target optimization problem is reconstructed to enhance the safety of a charging strategy, and the method has the advantages of being high in practicability and the like. And meanwhile, an offline training and online deployment mode is adopted, so that the calculation complexity of online charging is reduced, and the method is more efficient in actual charging application.

The invention relates to a battery monomer, a battery device and a power utilization device, the battery monomer comprises an electrode assembly and an electrolyte, and the electrode assembly comprises a positive pole piece and a negative pole piece; the positive pole piece comprises lithium-containing phosphate with an olivine structure; the negative pole piece comprises graphite particles; the electrolyte comprises a carboxylic ester solvent and a first additive, the thickness of the single-side negative electrode film layer is 50 microns to 75 microns, and the volume average particle size of the graphite particles is 8.5 microns to 13.5 microns; based on the mass of the electrolyte, the mass content of the carboxylic ester solvent is 8%-60%, the total mass content of the first additive is 3%-10%, the first additive comprises 1, 3-propane sultone with the mass content larger than or equal to 0, an ethylene carbonate derivative with the mass content larger than or equal to 0 and vinylene carbonate with the mass content larger than or equal to 3%, and the ethylene carbonate derivative comprises a compound shown in the formula A. According to the invention, the rapid charging performance and the cycle performance of the battery monomer under high energy density can be improved. # imgabs0 # formula A

The invention relates to a battery monomer, a battery device and a power utilization device, the battery monomer comprises an electrolyte, a positive pole piece and a negative pole piece, the positive pole piece comprises a positive pole current collecting part and a positive pole film layer located on at least one surface of the positive pole current collecting part and containing a positive pole active material, and the positive pole active material comprises lithium-containing phosphate of an olivine structure; the coating weight of one side of the positive electrode film layer is 200mg / 1540.25 mm < 2 > to 370mg / 1540.25 mm < 2 >, the negative electrode plate comprises a negative electrode current collecting part and a negative electrode film layer which is positioned on at least one surface of the negative electrode current collecting part and contains a negative electrode active material, the negative electrode active material comprises a carbon-based material, the conductivity of the electrolyte is 13-20mS / cm, the battery monomer is subjected to constant-current discharge from a 100% state of charge (0.33 C) to 2.0 V at 25 DEG C, and a discharge platform voltage V1 is 3.19-3.235 V. According to the invention, the fast charging performance, the energy density and the cycle performance of the battery monomer can be improved.

The invention relates to the technical field of lithium ion battery charging, and discloses a multi-device compatible intelligent fast-charging lithium ion battery system and a protocol matching method, the system comprises a charging device, the charging interface of which is used for being connected with a target device to charge a lithium ion battery pack of the target device; the battery management equipment acquires an initial communication signal of the connected target equipment in real time when the charging interface is connected with the target equipment, so as to extract a voltage fluctuation feature, a handshake time sequence feature and a protocol identification feature for generating an equipment feature vector; performing similarity matching on the equipment feature vector and the protocol feature parameter to obtain a candidate protocol set; according to the historical charging efficiency data of each candidate protocol in the candidate protocol set and the real-time load state of the target equipment, obtaining an optimal charging protocol and a corresponding charging curve template; and charging the lithium ion battery pack according to the optimal charging protocol and the charging curve template. And efficient, flexible and safe charging control can be realized.

Provided in the present application are a lithium secondary battery and an electric device. The lithium secondary battery comprises an electrolyte and a negative electrode sheet, wherein the electrolyte comprises a chain carboxylic ester and a cyclic carbonate, and the negative electrode sheet comprises a negative electrode current collector and a negative electrode film layer located on at least one side of the negative electrode current collector. Based on the total mass of the electrolyte, the mass content W1 of the chain carboxylic ester and the mass content W2 of the cyclic carbonate satisfy: 0.1≤W2 / W1≤2, and the mass content W1 of the chain carboxylic ester and the thickness H of the negative electrode film layer satisfy: 0.2≤H / 100W1≤20, with the unit of H being μm. The lithium secondary battery has good fast charging performance and cycling performance.

The invention relates to a battery monomer, a battery device and a power utilization device, the battery monomer comprises an electrode assembly, the electrode assembly comprises a positive pole piece, a negative pole piece and an isolating membrane, and the isolating membrane is located between the positive pole piece and the negative pole piece; the positive pole piece comprises a positive pole lug, a positive pole current collecting part and a positive pole film layer which is arranged on at least one surface of the positive pole current collecting part along the thickness direction of the positive pole piece and contains a positive pole active material, and the positive pole lug is arranged on at least one side of the positive pole current collecting part; the negative pole piece comprises a negative pole lug, a negative pole current collecting part and a negative pole film layer which is arranged on at least one surface of the negative pole current collecting part along the thickness direction of the negative pole piece and contains a negative pole active material, and the negative pole lug is arranged on at least one side of the negative pole current collecting part; and the ratio of the total thickness of the negative electrode film layers in the negative electrode plate to the thickness of the negative electrode plate is 0.95-0.97. According to the invention, the rapid charging performance and the cycle performance of the battery monomer can be improved, and the energy density is improved.

The invention discloses a battery charging control method for a battery replacement cabinet based on the Internet of Things, relates to the technical field of charging control, and has higher adaptability in the aspects of battery replacement demand prediction, charging mode switching and charging safety management compared with a traditional fixed charging mode. The problems of sudden increase of battery replacement demands, changes of environmental factors and the like can be effectively solved, and the operation stability of the battery replacement cabinet is improved; the method comprises the following steps: acquiring a battery state, a battery replacement demand and meteorological data, predicting a future battery replacement demand curve in combination with a long-short term memory (LSTM) network and a multiple linear regression model, introducing a meteorological influence factor, adjusting a charging plan of a battery replacement cabinet 24 hours before severe weather early warning, and matching the battery stock with a peak demand; the charging modes comprise a fast charging mode, a general charging mode and a slow charging mode, dynamic switching is carried out according to the battery replacement demand peak value and the daily average battery replacement demand, the fast charging mode is preferentially adopted in the battery replacement peak period, the battery supply rate is increased, and meanwhile part of charging resources are reserved.

In one aspect, while a battery pack is charging, a computer-implemented method may include predicting an anode potential of the battery pack, and determining whether the anode potential satisfies a threshold condition. Responsive to determining that the anode potential satisfies the threshold condition, the method may include modifying a charging policy of a battery pack to adjust an anode potential offset, and controlling, based on the charging policy, charging of the battery pack to adjust the anode potential offset.

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

The invention relates to the technical field of current compensation, and discloses a current compensation strategy and a compensation system for improving the direct current fast charging rate of an electric automobile. According to the scheme, the total current of a high-voltage loop and the input current of a battery are detected in real time, the dynamic load current difference value is calculated, and the battery health state and historical charging data are combined; and the charging pile request current value is adaptively adjusted to counteract the shunting influence of the load power. Meanwhile, a closed-loop feedback regulation mechanism is adopted, a compensation coefficient is corrected in real time through a PID algorithm, and the stability of the charging current is ensured. When the power of the charging pile is limited, the system dynamically reduces unnecessary loads (such as an air conditioner and a heater) according to a preset priority request, and the charging power of the battery is guaranteed preferentially. The charging rate is improved (the charging time is shortened by 10%-15%), the adaptability of the system to dynamic load fluctuation is enhanced, and the service life of the battery is prolonged.

The invention provides an intelligent charging pile site selection evaluation method and system. The method comprises the following steps: acquiring communication data of a mobile terminal in a target area in real time, and constructing a demand time period division model to distinguish daytime quick charging and night conventional charging demands; dynamically adjusting the position of an edge computing device based on demand distribution to ensure that the service range is matched with a people flow density peak region in real time; controlling the multi-port wireless charging system to switch an adaptive charging power mode according to the identified charging demand type; and generating a candidate charging pile layout position set in combination with equipment layout and power mode data, and screening out an optimal deployment scheme through safety distance verification. According to the technical scheme provided by the invention, efficient matching between the charging pile layout and the dynamic people flow demand is realized, and the daytime charging efficiency and the night equipment utilization rate are improved.

The invention discloses a new energy commercial vehicle fast charging working condition thermal management control method and system, and relates to the technical field of new energy vehicle thermal management and fast charging control, and the method comprises the following steps: collecting the temperature, voltage and current data of each subarea of a battery in a fast charging process, forming a time synchronization sequence, and based on the sequence, obtaining a new energy commercial vehicle fast charging condition; calculating internal thermal resistance and thermal capacity parameters of the battery in real time by using an online identification algorithm, updating a basic thermal model to obtain a corrected thermal dynamic model reflecting actual thermal characteristics of the current battery, importing the corrected model into a model prediction controller, constructing a multi-objective optimization function, and performing rolling solution in a prediction time domain to obtain a prediction model; and outputting an optimal target charging current instruction and a cooling total demand, adjusting the charging power according to the target current, and combining the temperature difference distribution of each partition. Accurate prediction and partition cooperative control of the thermal state of the battery in the fast charging process are achieved, the temperature rise and the temperature difference are effectively restrained while the charging efficiency is guaranteed, the service life of the battery is prolonged, and the system safety is improved.

The invention provides a preparation method of a lithium iron phosphate material, a lithium ion battery and electric equipment, and relates to the technical field of batteries. The method comprises the following steps: mixing raw materials of an iron source, a lithium source and a phosphorus source with a reagent serving as a reducing agent and a carbon source, and grinding to obtain precursor powder; wherein the molar ratio of the lithium source to the iron source is 1.03-1.05, and the molar ratio of the iron source to the phosphorus source is 0.965-0.99; carrying out high-temperature treatment on the precursor powder in an inert atmosphere to obtain a lithium iron phosphate base material; and crushing the lithium iron phosphate base material to obtain the lithium iron phosphate material meeting the particle size requirement. The high-capacity and high-compaction lithium iron phosphate material is obtained by accurately controlling key indexes such as the iron-phosphorus ratio, the carbon content, the graphitization degree and the particle size and combining an optimized processing technology, so that the fast charging performance of a lithium ion battery is improved, and the effect of not reducing the electric quantity while the fast charging requirement is met is achieved.

The invention relates to the technical field of electrochemistry, and particularly discloses a positive pole piece, an electrochemical device comprising the positive pole piece and an electric device. The positive pole piece comprises a first active material with a particle size of 4-20 [mu] m and a second active material with a particle size of 200-600 nm, the first active material comprises lithium manganese iron phosphate with the manganese content of m%, the second active material comprises lithium manganese iron phosphate and / or lithium iron phosphate with the manganese content of n%, and m and n meet the condition that m-n is larger than or equal to 15 and smaller than or equal to 85. According to the invention, by controlling the particle size distribution in the positive electrode active material and the manganese content relationship, the electrochemical device containing the positive electrode plate has excellent fast charging performance and energy density.

Some techniques described herein provide indication of a preferred scheduling mode for a user equipment (UE) based at least in part on an energy harvesting state of the UE. For example, the preferred scheduling mode may indicate a configured grant scheduling mode or a dynamic grant scheduling mode and / or one or more parameters associated with the preferred scheduling mode. For example, the one or more parameters may be based at least in part on an energy harvesting state of the UE. By indicating the preferred scheduling mode, the UE can selectively perform a transmission using a dynamic grant resource or a configured grant resource. Thus, the UE can request a dynamic grant resource when the UE is associated with a high energy level or a relatively fast charging rate, or a CG resource when the UE is associated with a low energy level ora relatively slow charging rate.

Systems and methods for cooling an electric energy storage device of an electric vehicle are described. In one example, a temperature of a traction battery is predicted and an opportunity assessment is generated, where the opportunity assessment is based on the temperature of the traction battery being predicted to exceed a threshold temperature, where the temperature of the traction battery is predicted prior to a traction battery DC fast charging event, and where the temperature of the traction battery based on time and a segment of a travel route.

The invention provides a lithium battery internal short circuit fault early warning and positioning method and system based on deep learning. The early warning and positioning method comprises the following steps: step S10, multi-dimensional data semantic acquisition and working condition self-adaptive preprocessing; step S20, collaborative extraction and alignment of cross-scale spatio-temporal features; step S30, performing dynamic threshold adaptive internal short circuit early warning and feedback optimization; s40, fault accurate positioning and verification of topology perception are carried out; and step S50, performing embedded collaborative optimization and self-diagnosis deployment. According to the invention, early weak signals of an internal short circuit fault can be found in time, and the efficiency and timeliness of battery safety monitoring are improved; the sensitivity of early warning is improved; the robustness in high-temperature, low-temperature and rapid charging and discharging environments is enhanced; and the positions of the single battery and the electrode with the fault can be accurately identified.

The invention relates to the technical field of hybrid energy storage management, in particular to a hybrid energy storage fast charging station energy management method based on a decommissioned battery, which comprises the following steps of: comparing a load demand with a battery capacity based on the load demand, the residual capacity of the decommissioned battery and a health state parameter, dividing a load interval according to time, and determining the load interval of the decommissioned battery; and calculating the load change rate in each time period, performing battery health state evaluation and power response selection, and generating a time interval battery pack distribution result. According to the method, the fuzzy control algorithm is used for clustering and dividing the retired batteries, comprehensive calculation is carried out by combining the health states of the batteries and power distribution, the power output in the battery pack is optimized, the service life of the retired batteries is prolonged, overload or unreasonable use of the batteries is avoided, the energy storage cost is reduced, and the real-time power regulation scheme is optimized. The battery pack can be adjusted in time according to power grid load fluctuation, and the stability in a high-load period is ensured.

An electric vehicle (EV) charging station for fast charging (e.g. 5 to 15 minutes) an electric vehicle (EV). The EV charging station can be configured to include one or more energy storage device comprising multiple electric reservoir modules.

The invention relates to the technical field of lithium ion batteries, and provides a lithium ion battery. A negative plate of the battery comprises a negative current collector and a negative active material layer arranged on at least one side surface of the negative current collector, the negative active material layer comprises a negative active material, and the negative active material comprises a silicon carbon material; the open pore volume of the silicon carbon material is recorded as x mm < 3 > / g; the electrolyte comprises a compound A, and based on the total mass of the electrolyte, the mass ratio of the compound A is recorded as y%; the chemical formula of the compound A is shown as a formula I and / or a formula II; x and y meet the condition that y / x is more than 0.05 and less than or equal to 120, the fast charging performance of the battery can be improved, the thermal safety performance of the battery is improved, and the cycle life of the battery is prolonged.

Presented are high-voltage (HV) electrical system architectures for vehicle-to-vehicle (V2V) charging of vehicle batteries, methods for making / using such systems, and vehicles equipped with such systems. An HV electrical system for a motor vehicle includes a main HV bus that electrically connects the vehicle's traction motor(s) to the vehicle's battery pack(s), and a charging inlet port that electrically mates with and receives direct-current (DC) power from DC fast-charging (DCFC) cables of a donor vehicle and a charging station. A DC-to-DC (DC-DC) converter is interposed between and electrically connects the charging inlet port to the main HV bus. The DC-DC converter is operable in a bypass mode, in which the DC-DC converter passes therethrough DC power received from the DCFC cable of the charging station, and a vehicle-to-vehicle (V2V) mode, in which the DC-DC converter modulates DC power received from the DCFC cable of the donor vehicle.

The invention relates to an interface expansion device for USB (Universal Serial Bus) quick charging and data communication, which comprises more than one input interface, more than one output interface, more than one switch module, a protocol control handshake module and a power supply module, data ends of the more than one output interface are respectively connected with a signal end of the protocol control handshake module, power supplies of the more than one input interface are respectively connected with an input end of the power supply module, the more than one switch module is respectively connected with an output end of the power supply module, and power supply ends of the output interfaces are respectively connected with the switch module. The control end of the switch module is connected with the data end of the protocol control handshake module. According to the invention, the extended USB interface not only can support high-speed data communication, but also can support Type-C rapid charging.

The invention discloses a power supply rapid charging pulse current regulation and control system and method based on current monitoring, and particularly relates to the technical field of power supply management. The method comprises the following steps: acquiring a pulse current signal in a battery charging process, performing nonlinear decoupling analysis, and decomposing the pulse current signal into a first characteristic sub-vector representing a real charging state of the battery and a second characteristic sub-vector representing a high-frequency harmonic interference state; predicting the change trend of the electrochemical impedance of the battery based on the first feature sub-vector to form an instant charging acceptance evaluation index, and evaluating the harmonic interference degree based on the second feature sub-vector to form a charging state misjudgment risk level index; based on the battery instant charging acceptance assessment index and the battery charging state misjudgment risk grade index, the optimal pulse current regulation and control strategy is determined, the power output parameters are adjusted in real time, the state misjudgment problem caused by high-frequency harmonic interference and electrochemical impedance coupling is effectively solved, and the battery charging performance and the long-term reliability are improved.