3031 results about "Battery system" patented technology

The invention discloses a thermal management strategy management method and system based on an energy storage battery system, and relates to the technical field of battery thermal management, and the method comprises the steps: collecting temperature data, carrying out the preprocessing, generating and recording a measurement result and a convective heat transfer coefficient, taking the measurement result and the convective heat transfer coefficient as the input of a Kalman filter, and outputting an optimal estimation result of a battery. The temperature data refer to the environment temperature and the core temperature of the single battery, based on the optimal estimation result of the battery, establishing a fuzzy rule base for iteration and updating, outputting a dynamic temperature difference threshold value, constructing a three-dimensional thermodynamic potential function, calculating the cosine similarity of a cooling driving force vector and a cooling mode, and correcting the cosine similarity to obtain a cooling driving force vector. The mode switching list is generated, the cooling equipment decision mode is generated, starting judgment and optimization of the cooling mode are carried out, and the intelligent level, safety and energy efficiency ratio of thermal management of the energy storage battery system are remarkably improved.

The present disclosure relates to a battery system supporting a plurality of operation modes according to the SoC. To this end, the battery system is characterized by comprising: one or more batteries supporting multiple operation modes for power storage or supply according to the state of charge (SoC); and a controller which determines an operation mode of the batteries among the plurality of operation modes according to the power supply state of a grid and the SoC of the batteries, wherein the batteries include a battery supporting an uninterrupted power supply (UPS) mode at an SoC at or below a first standard.

The invention provides an energy storage battery state simulation and prediction system and method based on digital twinning, and aims to solve the problems that an existing energy storage system is inaccurate in state modeling, insufficient in sensing granularity, unexplained in prediction, lagged in response and the like. According to the method, an equivalent thermal model, an electrochemical model and an aging mechanism model are adopted for modeling a battery, and a self-adaptive gating parameter fusion mechanism and data characteristics are introduced, so that cross-scale state mapping and characteristic reconstruction from a battery cell to a system level are realized; generating a baseline trajectory by using an electric-thermal-aging coupling relationship, realizing multi-time-domain closed-loop prediction by combining a data-driven residual correction mechanism, and identifying potential faults and risks in advance through a multi-time-domain anomaly judgment system; and constructing a three-dimensional topology model to dynamically display the state parameters, generating a graded alarm signal and providing operation suggestions. The system constructed by the invention has high precision, interpretability and prediction and visualization capabilities, and can significantly improve the intelligent operation and maintenance level of the energy storage battery system.

An electrical line selection system comprising a circuit module configured to connect energy sources with multiple line outputs. The circuit module has a number of inputs configured to connect to energy sources, including rechargeable battery systems, and a number of outputs configured to connect with other electrical systems such as other battery systems, loads, charging sources, and various AC or DC power supplies. A switching circuit is contained by the circuit module and a controller manages the switching circuit based on desired connections and strategies for managing power supplies and current sinks.

The invention discloses an echelon utilization method for waste power batteries of new energy vehicles, which comprises the following steps: firstly, collecting and preliminarily classifying and screening retired batteries according to health states, and quickly eliminating potential safety hazards by using infrared thermal imaging and voltage consistency detection; comprehensive performance detection including complementary energy detection, discharge capacity test at different temperatures, direct current internal resistance measurement and charge and discharge temperature rise test is carried out; key parameters are extracted from the detection data, comprehensive performance analysis is carried out in combination with application scene requirements, and a comprehensive evaluation score is generated; selecting similar batteries to form a pre-combination unit according to the score sequence; a grouping result is optimized through a clustering algorithm in the three-dimensional performance coordinate system, and it is ensured that the deviation of core parameters of the same group of batteries is smaller than a set threshold value; the stability and the operation efficiency of the echelon utilization system are improved, the adaptive capacity of the echelon utilization system in different application scenes is enhanced, and a guarantee is provided for stable operation of the echelon utilization battery system.

The invention discloses a battery box and a battery pack for battery cell thermal runaway optimization management, and relates to the field of battery pack thermal runaway optimization, the battery box for battery cell thermal runaway optimization management comprises an outer box body; the battery cell placing space is formed in a cavity of the outer box body, the smoke exhaust channel is communicated with the battery cell placing space, an explosion-proof assembly is arranged on the outer box body, and the explosion-proof assembly comprises a first explosion-proof valve communicated with the smoke exhaust channel and a second explosion-proof valve which is communicated with the cavity of the outer box body and is different from the first explosion-proof valve in opening pressure; when the battery cell aluminum shell is damaged, high-temperature flue gas can be guided to be discharged in order, the influence of the high-temperature flue gas on a high-pressure part is reduced, and a safe pressure relief path is ensured, so that the safety redundancy and reliability of a battery system are greatly improved.

Systems and methods for operating a vehicle power system are described. The vehicle power system includes an inverter and an electric machine. Switches and a diode are arranged in a way that allows a traction battery to be charged by either a lower voltage charger or a higher voltage charger. Additionally, the switches and diode allow the vehicle power system to heat the traction battery so that the traction battery may operate in a desired temperature range.

A battery system includes a cover including a plurality of guide apertures. The battery system includes a thermal barrier disposed adjacent the plurality of guide apertures of the cover. The battery system includes a stiffening structure disposed between the cover and the thermal barrier. The plurality of guide apertures guides emissions through the cover, and the thermal barrier absorbs heat energy generated by the emissions. The battery system may further include a plurality of battery cells, and the thermal barrier may be disposed between the plurality of battery cells and the cover. Each of the plurality of guide apertures of the cover may be aligned with a vent of one of the plurality of battery cells. The stiffening structure may also include cutouts each shaped to correspond to at least one vent. The stiffening structure may also include indentions to press the thermal barrier against the plurality of battery cells.

The invention discloses a robot battery system and method, and the system comprises a main battery which is disposed at the center of a robot and is used for providing a stable low-power power supply for the robot; the at least one distributed battery is electrically connected with the main battery, is arranged at a load part of the robot and is used for providing an intermittent medium-power power supply for the corresponding load part; the at least one super capacitor is electrically connected with the main battery, is arranged at the action part of the robot and is used for providing an instant high-power power supply for the corresponding action part; the control module is in signal connection with the main battery, the at least one distributed battery and the at least one supercapacitor and is used for correspondingly adjusting a power output distribution strategy of a corresponding part of the robot according to the real-time power consumption data and the power consumption demand data of the main battery, the at least one distributed battery and the at least one supercapacitor; the power transmission loss can be reduced, and the overall operation stability is improved.

The invention discloses a whole vehicle energy optimization calculation method for heat energy coordination of an electric vehicle, which relates to the technical field of electric vehicles and comprises the following steps: S1, acquiring multi-source information related to the running state of the whole vehicle, the multi-source information at least comprises passenger compartment thermal comfort demand information, battery thermal state information, electric drive system thermal state information, vehicle operation condition information and whole vehicle energy state information; s2, on the basis of the multi-source information, performing unified modeling and priority judgment on heat demands of a passenger compartment, a battery system and an electric drive system at a whole vehicle level, and forming a heat energy coordination decision result reflecting a heat load energy demand relationship under current and target working conditions; according to the whole vehicle energy optimization calculation method for heat energy coordination of the electric vehicle, the energy utilization efficiency and the comprehensive performance of the electric vehicle under complex working conditions are remarkably improved.

The invention provides a lithium battery SOH estimation method based on a double-branch network architecture, and belongs to the field of lithium battery SOH estimation. Firstly, an original incremental capacity curve is extracted based on incremental capacity analysis; gaussian filtering is adopted to carry out smooth denoising on an original incremental capacity curve, and peak value characteristics of the curve are extracted; then, decomposing the peak curve into a plurality of intrinsic mode functions and residual errors by adopting a fully integrated empirical mode decomposition method with adaptive noise; all intrinsic mode functions are superposed into a fluctuation component, and a residual error is regarded as a trend component; for heterogeneous features, convolutional neural network branches with adaptive structures are constructed to extract the features. After the double-branch features are fused, multi-head attention is adopted for feature mapping, and finally SOH estimation is achieved. According to the technology provided by the invention, the SOH estimation precision can be effectively improved. By accurately estimating the SOH of the lithium battery, the battery system can be maintained, and the fault risk is avoided, so that the reliability of the battery system is improved.

A power-on method of a battery system, the battery system and a power-using device can improve the battery replacement performance of the battery system. The battery system includes a plurality of battery replacement units connected in parallel, wherein each battery replacement unit includes a battery and a first battery management unit thereof, and the battery system further includes a second battery management unit connected with the first battery management units in the plurality of battery replacement units. The power-on method is executed by the second battery management unit, and the power-on method includes: receiving a first power-on signal sent by a vehicle control unit; and in response to the first power-on signal, sending a second power-on signal to the first battery management unit, the second power-on signal being used to instruct the first battery management unit to control the corresponding battery replacement unit to be high-voltage powered on.

The invention belongs to the technical field of lithium ion battery positive electrode material preparation, and relates to a manganese-based positive electrode of an all-solid-state battery system, a preparation method and application of the manganese-based positive electrode, the general formula of the manganese-based positive electrode is Li < 1 + x > NiyCoyMn3yOz, the preparation method comprises the following steps: S1, grinding and mixing a lithium-rich manganese original material and lithium phosphate in an inert gas protective atmosphere to obtain a precursor mixture; s2, performing high-energy mechanical ball milling on the precursor mixture; s3, collecting the powder subjected to high-energy mechanical ball milling in an inert gas protective atmosphere to obtain a manganese-based positive electrode material; the manganese-based positive electrode material disclosed by the invention realizes mixed arrangement of part of cations and a double-phase synergistic heterostructure, and has high energy density and voltage, and a halide and sulfide-based all-solid-state battery assembled by using the manganese-based positive electrode material shows good cycling stability and rate capability.

The invention discloses a parameter identification method for an electrochemical-thermal-micro short circuit coupling model. The method comprises the following steps: constructing the electrochemical-thermal-micro short circuit coupling model; collecting multi-working-condition data of battery operation, and clustering the multi-working-condition data; performing feature extraction on the clustered data to obtain a feature data set; performing sensitivity analysis on parameters in the electrochemical-thermal-micro short circuit coupling model, and estimating the influence degree of the parameters on the characteristics; and parameters with high influence degrees are preferentially considered, probability influence evaluation is carried out on the parameters, and a parameter identification result is obtained. According to the method, on the premise of accurately judging the potential influence of the parameters, the accurate identification of the operation characteristic parameters of the battery system when the micro short circuit occurs can be realized.

The invention discloses a lithium battery life prediction system based on fusion of multiple health factors and an RIME-TCN algorithm, and particularly relates to the field of fault detection, the system comprises a multi-parameter adaptive sampling module, a data fusion enhancement module, a global fault hierarchical detection module, a fault dynamic evaluation module, an intelligent decision early warning module and a distributed storage module, wherein the multi-parameter adaptive sampling module collects electrical and physical parameters through a three-stage sampling network, the data fusion enhancement module processes multi-dimensional space-time sampling data to generate enhancement features, the global fault hierarchical detection module realizes anomaly recognition and fault classification, and the fault dynamic evaluation module calculates fault confidence and predicts an evolution trajectory. And the intelligent decision early warning module triggers graded early warning. According to the invention, through multi-parameter fusion and layered detection, accurate identification of battery faults is realized, dynamic evaluation and graded early warning are combined, timeliness and reliability of fault detection are improved, and safe operation of a battery system is effectively guaranteed.

The invention belongs to the technical field of electric ships and fault detection. The invention discloses a digital twin electric ship power battery fault detection method based on artificial intelligence. The method is characterized by comprising the following steps: step 1, a data acquisition layer captures a battery operation state and environmental parameters in real time by deploying multiple types of sensors; 2, the digital twinborn layer realizes dynamic mapping of a physical battery system by constructing a high-fidelity virtual model; establishing a multi-physical field coupling model based on electrochemical characteristics, thermodynamic behaviors and structural parameters of the power battery; 3, the fault prediction layer extracts the harmonic component of the voltage curve, the spatial distribution mode of the temperature gradient and other multi-dimensional features through time-frequency analysis, and captures the gradual change trend of the internal resistance of the battery in combination with a sliding window technology; and 4, the application layer converts a prediction result into an operable engineering decision, and constructs a closed-loop operation and maintenance system. According to the method, efficient battery fault detection can be realized.

The invention discloses a battery intelligent management method based on edge-cloud collaboration and a related device, and the method comprises the steps: obtaining the real-time data of each battery cluster through each cluster-level edge controller in an edge layer, carrying out the preprocessing of the real-time data of each battery cluster, and obtaining the real-time data of each battery cluster; calculating the real-time SOC, the state of health SOH and the maximum chargeable / dischargeable power of each battery cluster according to the preprocessed real-time data of the battery clusters; and at the cloud, correcting the calculated real-time SOC, SOH and maximum chargeable / dischargeable power of each battery cluster, generating a control power instruction of each battery cluster according to a correction result, an economical efficiency target and service life attenuation cost, and respectively issuing the control power instruction to a cluster-level edge controller of each battery cluster for execution. The method and the related device can improve the safety of the battery system.

The invention belongs to the technical field of thermal management of immersed liquid-cooled batteries, and particularly relates to a battery module temperature equalization and flow resistance self-adaptive liquid cooling system based on temperature and flow velocity monitoring. Multi-point temperature information of a battery module is obtained through a temperature monitoring unit, and a temperature equalization index is calculated; the flow resistance change of the liquid cooling loop is judged by combining the flow speed monitoring unit with the running state of the circulating cooling pump, and the central control unit dynamically adjusts the rotating speed of the circulating cooling pump and / or controls the flow channel adjusting assembly to switch the cooling liquid flow channel based on the combination result of the temperature uniformity state and the flow resistance state. Therefore, the temperature consistency of the battery module and the self-adaptive control of the flow resistance of the liquid cooling system are realized under different operation conditions, the cooling of a key area can be enhanced when local hot spots exist, the flow path is optimized and the energy consumption is reduced when the flow resistance is increased or the load is relatively low, the thermal safety, the operation stability and the energy efficiency level of the battery system are improved, and the service life of the battery system is prolonged. The method is suitable for liquid cooling heat management scenes of high-energy-density batteries.

The invention discloses a health assessment method and device of a battery system, electronic equipment and a storage medium, and relates to the technical field of battery systems. According to the invention, as the mean value and the standard deviation of actual operation parameters and the normal distribution principle are utilized to carry out anomaly identification, a fault can be quickly positioned; meanwhile, a three-level evaluation system including efficiency, energy storage capacity and safety is constructed, weights are dynamically adjusted according to working conditions, comprehensiveness and adaptability are considered, and therefore the technical problems that an existing electrochemical fusion model is complex in calculation and difficult in engineering deployment, consequently, evaluation accuracy and real-time performance are insufficient, and large-scale application is limited can be solved; the technical effects of improving fault identification real-time performance and evaluation result accuracy and adaptability, reducing calculation complexity, facilitating engineering landing and guaranteeing safe and stable operation of the energy storage battery system are achieved.

The invention belongs to the technical field of lithium ion batteries, and particularly relates to a preparation method of a silicon negative electrode composite SEI membrane based on electrochemical impedance spectroscopy in-situ regulation and control. Comprising the following steps: S1, constructing a battery system, and adding an electrochemical active organic precursor and a film-forming additive into an electrolyte; s2, in-situ monitoring: carrying out in-situ electrochemical impedance spectroscopy (EIS) scanning on the battery, and capturing the growth dynamic state of an SEI film in real time; s3, carrying out feature recognition, analyzing the EIS spectrogram in real time, and obtaining a moment when the RSEI growth rate RSEI / t has an inflection point or tends to be stable as an induction trigger point; s4, dynamic induction: applying an electrochemical induction signal of constant potential and high-frequency pulse to carry out dynamic induction; and S5, completing first circle formation to obtain the composite SEI film. The composite SEI film of the inorganic base layer and the organic flexible layer is constructed through combination of EIS real-time monitoring and dynamic induction, the problem that the SEI film is prone to cracking is effectively solved, intelligent and controllable preparation of the composite SEI film is achieved, the cycle life of a silicon negative electrode battery is prolonged, and the consistency of the silicon negative electrode battery is improved.

The invention relates to a battery and an electric device comprising the same, and belongs to the technical field of batteries. The battery comprises a positive electrode plate, the positive electrode plate comprises a positive electrode material, the positive electrode material comprises an iron-containing lithium supplementing material, and a carbon layer is arranged on the surface of the iron-containing lithium supplementing material. By controlling the peak area ratio a of a Fe < 3 + > characteristic peak to an O1s peak in an XPS graph, the thickness b of a surface carbon layer of an iron-containing lithium supplementing material and the ID / IG ratio g of the positive plate to meet a specific relationship when XPS etching analysis is carried out on the positive plate at the etching depth of 210 nm, the negative influence of the lithium supplementing material on the conductivity of the positive plate is effectively weakened while the lithium supplementing efficiency of the lithium supplementing material is fully exerted; the low impedance and long cycle life of the battery system are both improved, and the comprehensive electrochemical performance of the battery is remarkably improved.

Provided is a battery module and battery rack having enhanced fire safety features. The battery module includes a swelling / pressure sensor that detects swelling of a battery cell. An output signal of the sensor is used to halt operation of a battery rack / battery system containing the battery module and prevent charging and discharging of the battery module. In an embodiment, the battery module uses an AC-to-AC power supply to provide AC frequency power for balancing battery cells of the battery module. In an embodiment, the battery rack includes an internal water fire suppression system that provides battery cooling in the event of a battery cell fire to prevent the spread and / or reigniting of the fire.

The invention discloses a battery health state prediction and fault judgment method and system in the technical field of lithium battery management, and the method comprises the steps: collecting multi-dimensional original monitoring data in real time, and calculating derived characteristic parameters; constructing a state evolution trajectory of the battery system and calculating a local curvature at each state point; comparing the local curvature with a critical threshold value to obtain PID (Proportion Integration Differentiation); identifying all unstable state points, defining a set of unstable state points which are adjacent on state space coordinates and continuous on a time sequence as a DAC (Digital-to-Analog Converter), and calculating a chain scale; calculating a monitoring GER; and continuously monitoring a local instability condition, a cross-regional association condition and an energy triggering condition, and generating a corresponding early warning signal according to the satisfaction condition of the conditions. According to the method, a multi-level and layered physical criterion system composed of PDI, DAC to GER is constructed, and extremely high reliability close to zero false alarm is achieved while sufficient early warning advance is provided.

A hot-swappable battery system for computer peripherals includes a wireless mouse having a battery compartment, a battery connector assembly mounted within the battery compartment, a removable battery configured to be inserted into and ejected from the battery connector assembly, a keep-alive battery mounted within the wireless mouse, and a docking station. The battery connector assembly includes electrical contacts and a push-push ejector mechanism. The keep-alive battery is electrically connected to provide backup power when the removable battery is removed. The docking station has a battery slot configured to receive and charge the removable battery when not in use in the wireless mouse. The system enables continuous operation of the wireless mouse while battery swapping between the mouse and docking station.

The invention discloses a power supply method and device of a vehicle, electronic equipment and a readable storage medium. The vehicle comprises a power battery, a battery module and a power conversion module are integrated in the power battery, and the method comprises the steps that the current running mode of the vehicle is obtained; based on the operation mode, determining a power supply mode of the power conversion module, the power supply mode being used for representing a power supply rule of the power conversion module in the operation mode; based on the power supply mode, triggering a voltage conversion assembly corresponding to the power supply mode in the power conversion module, and converting the output voltage of the battery module into a target voltage; and inputting the target voltage to an electric load of the vehicle to supply power to the electric load. The technical problem that the integration level of the battery system of the vehicle is poor is solved.

The invention provides a battery temperature prediction method and system based on a Shenchang differential equation. The method comprises the steps of obtaining multi-source operation data in the operation process of a battery system; performing time interpolation processing on the data, and uniformly mapping the data of different sampling frequencies to a continuous time dimension to obtain a continuous time input feature; respectively constructing global features and discrimination features based on the input features, wherein the discrimination features are used for representing key thermal influence factors such as battery calorific value and cooling medium flow; fusing the global features, the discriminant features and the current temperature state of the battery to construct comprehensive features; and inputting the comprehensive characteristics into a thermodynamic model constructed based on a Shenchang differential equation, and solving a continuous evolution process of the battery temperature through numerical integration to realize temperature prediction one by one. According to the method, the thermodynamic continuous evolution law can be followed, and the space coupling characteristic and the multi-working-condition robustness can be considered.

The invention belongs to the technical field of lithium / sodium batteries, and particularly relates to a method for pre-embedding lithium / sodium into a battery. The preparation method comprises the following steps: firstly, preparing a lithium / sodium pre-embedded material of the lithium / sodium battery, namely putting a sodium salt of the material into an organic solvent, dropwise adding acid, stirring for reaction, extracting and drying, and evaporating the solvent to dryness; placing the product in deionized water, adding lithium salt, stirring for reaction, and evaporating the solvent to dryness; recrystallizing the solid by using ethyl acetate and dichloromethane; and drying the obtained solid powder to obtain a final material. Dissolving the prepared lithium / sodium pre-intercalation material in a battery electrolyte to realize lithium / sodium pre-intercalation of the battery; the sodium salt of the material takes organic sodium sulfinate as a skeleton, and side groups are substituted with different alkyl groups or aryl groups; the prepared lithium / sodium pre-embedded material is high in specific capacity, good in compatibility with a battery system and good in material stability; lithium / sodium pre-embedding is carried out on the battery through an electrolyte adding method, the lithium / sodium pre-embedding process is safe and convenient, the process is simple, the cost is low, and large-scale production can be realized.

The embodiment of the invention provides a battery system charging method, a battery system, a battery management system and electric equipment.The method comprises the steps that in the charging process of a first battery pack and a second battery pack, first charging time and second charging time are determined, the first charging time is the charging time needed by the first battery pack, and the second charging time is the charging time needed by the second battery pack; the second charging time is the charging time required by the second battery pack; and performing target thermal management on the first battery pack and / or the second battery pack according to the first charging time and the second charging time so as to reduce the difference between the charging time of the first battery pack and the charging time of the second battery pack. According to the battery system charging method, the battery system, the battery management system and the electric equipment provided by the embodiment of the invention, the charging time of the battery system can be shortened.

The invention provides a battery charging strategy determination method and apparatus, an electronic device and a medium. The method comprises the steps of constructing a multi-physical field coupling model of a battery system; simulation is carried out based on an electrochemical model in the multi-physics field coupling model, fast charging characteristic maps of the battery in different temperature intervals are generated, and the fast charging characteristic maps are used for representing the mapping relation among the charging current of the battery, the temperature rise of the battery and the lithium precipitation boundary; setting a maximum self-heating power limit value of the battery in a low-temperature environment based on the fast charging characteristic map; according to a preset low-temperature fast charging index and the maximum self-heating power limit value, reversely solving and determining the lowest initial charging temperature of the battery meeting the low-temperature fast charging index; and based on the lowest initial charging temperature, solving a parameter solution set containing the thickness and the heat conductivity coefficient of the external thermal insulation layer. According to the invention, the charging efficiency of the power battery in a low-temperature environment is improved.

A battery housing for an electric vehicle includes two receiving chambers, which are separated from one another by means of a partition wall, for receiving battery cells, and a conductor sheath that penetrates the partition wall and can receive an electrical connecting element so as to connect in an electrically conductive manner the battery cells that are to be arranged in a different receiving chamber of the two receiving chambers.