1744 results about "Battery thermal management" patented technology

The invention relates to the technical field of battery thermal management, in particular to a battery thermal management control method and system, and the method comprises the steps: obtaining the basic operation parameter data of an automobile battery in real time, and carrying out the multi-dimensional data fusion, and obtaining a multi-dimensional data set; based on the thermodynamic model and the multi-dimensional data set, the temperature distribution condition in the battery is calculated in real time, and real-time temperature distribution information is obtained; based on the historical data and the operation state, the future temperature change trend of the battery is predicted through a recurrent neural network model; dynamically adjusting a control strategy of the battery thermal management system according to the real-time temperature distribution information and the prediction result; and analyzing the temperature difference condition of the battery monomers, detecting abnormal temperature rise, and performing temperature difference balance adjustment and triggering a multi-stage protection mechanism when the abnormal temperature rise exceeds a threshold value. According to the invention, the problems of inaccurate temperature prediction and response lag in the prior art are effectively solved, the control strategy is dynamically adjusted through real-time data fusion and recurrent neural network prediction, temperature difference balance and abnormal temperature rise detection are realized, the safety of the battery is improved, and the service life of the battery is prolonged.

The invention relates to the field of energy storage, and provides a 1.5 V lithium ion battery thermal management method based on temperature strain analysis, which comprises the following steps: monitoring the surface temperature of a battery in real time, collecting temperature strain data, extracting a key sequence value to analyze a strain trend, carrying out risk assessment to obtain a corresponding risk level and a risk index, and carrying out thermal management on a 1.5 V lithium ion battery based on the risk index. The method comprises the following steps: evaluating a battery state and performing thermal load evaluation, querying a corresponding thermal influence factor, marking a key influence area, determining a thermal management path, calculating path transfer quantity and thermal transfer efficiency, optimizing operation parameters to improve a thermal drop ratio, extracting multi-thermal energy characteristics, querying a hot spot distribution state, and analyzing hot spot labels. A thermal management scheme for the battery is generated. The thermal management level of the 1.5 V lithium ion battery 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 provides a new energy automobile battery thermal management method and system based on big data. The method comprises the steps that real-time data flow and a historical temperature change curve in a battery pack are collected in real time through a distributed sensor array; inputting a pre-trained time sequence prediction model, outputting a predicted temperature change curve and calculating a real-time temperature rise slope; obtaining an environment comprehensive compensation amount according to the environment temperature and the battery health state, and subtracting the environment comprehensive compensation amount from the basic safety threshold value to obtain a dynamic safety threshold value; determining a dynamic temperature compensation amount through a preset slope grading mechanism, and subtracting the dynamic temperature compensation amount from the dynamic safety threshold to obtain an advanced intervention temperature point; and when the temperature of the battery pack reaches the advanced intervention temperature point, a graded cooling system is started, and cooling power grades are dynamically switched according to the growth interval where the real-time temperature rise slope is located. The battery temperature is accurately controlled, and the energy consumption is remarkably reduced.

The invention discloses a liquid cooling pipeline temperature control system based on liquid flow regulation, and the system comprises a data collection module which is used for collecting the temperature, internal resistance and current of a battery cell in real time, and carrying out the calculation to obtain the heat generated by the battery cell; the region division module is used for obtaining weight coefficients of a plurality of battery cells according to the average temperature of the battery module and the heat production of the battery cells, and performing region division according to the weight coefficients and the space coordinates of the battery cells by utilizing a clustering algorithm; the optimization control module is used for constructing a region optimization model according to the target temperature and solving flow set values of a plurality of regions based on constraint conditions; and the flow feedback module is used for calculating the pressure compensation flow according to the pipeline shapes of the plurality of areas and the current flow, calculating the aging compensation flow according to the internal resistance of the battery cell, and updating the flow set value again by using the pressure compensation flow and the aging compensation flow. The invention relates to the technical field of battery thermal management, and solves the technical problems of non-uniform temperature adjustment and inaccurate control of an existing liquid cooling temperature control system.

The invention relates to the technical field of lithium battery thermal management, and discloses a lithium battery thermal management regulation and control method, device and equipment and a computer program product, and the method comprises the steps: collecting the temperature data of a lithium battery cell in real time through a plurality of embedded temperature sensors, and forming a temperature matrix; calculating heat flux density between the battery cells based on a Fourier heat conduction equation to generate a heat flux matrix; forming a cooling demand parameter matrix; and dynamically adjusting the flow velocity of the cooling liquid based on a particle swarm optimization algorithm, and automatically adjusting the flow velocity of the cooling liquid through a closed-loop feedback mechanism. Compared with the prior art that performance reduction or service life shortening of a lithium battery system is easily caused by overheating under high-power use or extreme environment conditions, and particularly, effective and uniform heat dissipation cannot be realized when the temperature difference of battery cells is relatively large, accurate heat management is realized by combining temperature real-time monitoring and adjustment of the flow rate of cooling liquid, and the service life of the lithium battery system is prolonged. Therefore, the problem of overheating or non-uniform local cooling is avoided, and the stability and safety of the battery system are improved.

The invention discloses a lithium ion battery thermal management method, a lithium ion battery thermal management device, thermal management equipment and a computer readable storage medium, and the method comprises the steps: obtaining battery data, and obtaining environment data from a sensor; performing thermal characteristic simulation on the battery data based on a battery thermal model to obtain simulation data; reasoning the battery data and the environment data based on a deep learning prediction model to obtain a temperature prediction result; performing temperature control strategy matching based on the simulation data and the temperature prediction result to obtain a thermal management control instruction; and executing a corresponding thermal management operation based on the operation instruction. According to the method, the battery heat management effect is improved, and the dangerous situation caused by battery heat accumulation is avoided.

The invention relates to the technical field of battery thermal management, and provides a dynamic thermal management method and system for a battery module, and the method comprises the following steps: carrying out the local environment heat dissipation capability evaluation when a preset triggering condition is satisfied, and generating an evaluation result; generating a heat dissipation adjustment parameter of the heat dissipation system based on the evaluation result and the current thermal state of the local battery; carrying out data monitoring and recording, and generating reported data information; the reported data information comprises data related to local environment heat dissipation capability evaluation, evaluation result data, heat dissipation adjustment parameter data of a heat dissipation system and battery thermal state change data after the heat dissipation system executes adjustment; and uploading the reported data information to a cloud platform, so that the cloud platform executes continuous learning and optimization operation of the thermal management strategy based on the reported data information. The method has the advantages that the adaptability and safety of heat management are improved, and continuous optimization of a cloud strategy is supported.

The invention discloses a lithium ion power battery thermal management online regulation and control method comprising the following steps: obtaining battery pack temperature data, and carrying out statistical analysis on the battery pack temperature data to obtain temperature fluctuation distribution characteristics; according to the temperature fluctuation distribution characteristics, cooling power output information is obtained through a feedback control method; obtaining a power allocation weight according to the cooling power output information, and carrying out prediction simulation on the temperature field according to the power allocation weight to obtain predicted temperature field distribution; the heat conductivity coefficient of a variable thermal interface material in the cooling system is adjusted according to the predicted temperature field distribution, a thermal diffusion path optimization scheme is obtained, a dynamic thermal channel network is constructed according to the thermal diffusion path optimization scheme, and a cooling strategy is obtained through matching according to the dynamic thermal channel network in combination with the running state of the battery; hierarchical control parameters are extracted from the cooling strategy, and an energy distribution optimization scheme is obtained; and according to the energy distribution optimization scheme, controlling a cooling system of the lithium ion power battery to realize thermal management regulation and control.

The invention discloses a lithium battery temperature state estimation method based on a physical information neural network, and relates to the technical field of lithium ion battery temperature state estimation, and the method comprises the following steps: obtaining multi-working-condition lithium battery charging and discharging data, and carrying out sliding window denoising and abnormal data elimination preprocessing; a battery thermal model containing total irreversible heat, reversible heat and heat dissipation is constructed by combining heat production and heat dissipation mechanisms, and a temperature change thermodynamic equation is obtained; establishing a physical information neural network, based on a residual network, embedding a time-varying internal resistance module and a time sequence feature extraction module based on the Arrhenius law, constructing a multi-component total loss function, and optimizing parameters through adaptive weight adjustment and an Adam algorithm; temperature state estimation is realized in training and prediction stages, the model is optimized and parameters are stored in the training stage, and a temperature result is output and verified in the prediction stage. The method gives consideration to both physical consistency and data fitting precision, and can support thermal management of the battery.

The invention discloses an electric vehicle battery thermal management method and system under intelligent network connection. The method comprises the steps that the road traffic flow state, the environment temperature, the real-time temperature of a power battery and vehicle driving state data are obtained; establishing a vehicle driving state prediction model, and predicting the vehicle driving state in the next time period by using the historical driving state data of the vehicle; establishing a thermal management model prediction controller, and predicting the temperature state of the power battery in the next time period; determining the optimal working temperature range of the battery according to the type of the power battery used by the automobile; performing power battery temperature state division according to the power battery type and the predicted power battery temperature state; a corresponding battery thermal management prediction control strategy is adopted according to the temperature state of the power battery; and a power battery emergency heat management strategy is adopted. According to the battery temperature pre-management strategy, the battery temperature control accuracy is high, and the safety and the cruising ability of the battery are guaranteed.

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 invention relates to the technical field of electric vehicle power battery thermal management, and discloses a temperature change-based power battery thermal management system, which comprises a thermal simulation pre-judgment end, a sensor network end, a dynamic liquid cooling control end, a BMS decision end and a fault diagnosis module, aiming at the technical defects of out-of-control temperature difference, response hysteresis and leakage risk caused by static flow channel design of the existing liquid cooling system, breakthrough is realized through a three-dimensional technical architecture: a CFD (Computational Fluid Dynamics) prejudgment layer: automatically calibrating sensor distribution points based on temperature field standard deviation, and improving temperature difference identification precision; according to the dynamic valve control layer, an electromagnetic three-way reversing valve is adopted to execute a directional temperature control strategy, an edge battery cell is preferentially introduced under the low-temperature working condition, and heat dissipation is enhanced under the high-temperature working condition; according to the redundant safety layer, the valve body and the pipeline are integrally formed, the leakage rate is reduced, and flow maintenance under single-point failure is achieved through a double-water-inlet parallel pump source. The method has the effects of improving the convergence speed of temperature difference between modules, reducing the attenuation rate of battery life and reducing the risk probability of thermal runaway.

The invention relates to a control method of a liquid-cooled battery thermal management system, which predicts a lithium battery state environment under a given control action based on a multi-layer perceptron, and simulates interaction of a current state and an environment condition of a battery through deep reinforcement learning. And performing preliminary offline training on the reinforcement learning model, and then performing testing on an energy storage system test platform to obtain a dynamic algorithm model capable of predicting, regulating and controlling the future state of the lithium battery according to the current state of the lithium battery. And basic theory and key technical support are provided for application of deep learning and reinforcement learning in the field of lithium battery thermal management.

The invention discloses a thermal management control method and device for a new energy automobile battery, and relates to the field of battery thermal management control, the device comprises an entropy change module, a fault module, a decision module, a phase change module and a scheduling module, entropy change intensity and nuclear heat flow field analysis is carried out on collected current and voltage signals to obtain an aging thermal topology, and the aging thermal topology is subjected to thermal management control. The method comprises the following steps: constructing an anisotropic diffusion equation based on aging thermal topology in combination with a fault diffusion tensor, discretizing a sub-strategy set for a safety margin field, constructing a cooling Nash game, analyzing through a payment matrix and a replicated dynamic equation, screening a stable strategy, mapping, and constructing an implicit phase change criterion model for the surface temperature of a battery to obtain a phase change cumulant; the phase change cumulant latent heat is analyzed and then cooperatively arbitrated with the cooling membership degree to obtain arbitration cooling capacity, the water pump flow is obtained through limiting operation based on the arbitration cooling capacity and the temperature deviation, then cubic root mapping is conducted on the water pump flow and the arbitration cooling capacity to obtain the fan rotating speed, and accurate control over battery thermal management is achieved.

The invention discloses a thermal management system and a vehicle. The thermal management system comprises a battery cooler, a refrigerant loop and a cooling water loop. The battery cooler is connected with the refrigerant loop and the cooling water loop and is used for carrying out heat transfer between the refrigerant loop and the cooling water loop; the cooling water loop comprises a warm air loop, a battery heat management loop, an electric drive cooling loop, a radiator loop, a first control valve and a second control valve; the first control valve is connected with the second control machine valve, the refrigerant loop, the warm air loop, the battery heat management loop, the electric drive cooling loop and the radiator loop; the first control valve and the second control valve are matched to be used for switching communication modes among the refrigerant loop, the warm air loop, the battery heat management loop, the electric drive cooling loop and the radiator loop, and heat transfer in different modes is carried out among the refrigerant loop, the warm air loop, the battery heat management loop, the electric drive cooling loop and the radiator loop in different temperature environments. The structure of the thermal management system is simplified, and cost is reduced.

The invention belongs to the technical field of battery thermal management, and discloses a battery pack and a phase change material coupling liquid cooling composite thermal management system.The battery pack comprises a plurality of battery structures, each battery structure comprises a lithium battery, a fin structure, a phase change material filling area and a liquid cooling plate, and the fin structure is arranged on the periphery of the lithium battery; the liquid cooling plate is arranged on the periphery of the fin structure, a phase-change material filling area is formed between the liquid cooling plate and the fin structure, and the phase-change material filling area is filled with a phase-change material for absorbing redundant heat and generating phase change, so that the temperature fluctuation of the battery is reduced. The lithium bromide heat pump and the direct-current power supply are combined, and accurate adjustment of the temperature of the battery pack is achieved through efficient heat exchange and intelligent control. The system can be rapidly switched between a cooling mode and a heating mode, and it is ensured that the battery is always kept within the optimal temperature range in different working environments.

The invention discloses an active prediction type modular battery thermal management system, which comprises the following steps: a liquid path and electrical connection module, a data acquisition module, a communication transmission module, a working condition identification module, a feedback control module, a cooperative control module, an execution adjustment module, a state feedback module, an exception handling module, a redundancy switching module and the like. A prediction control instruction is generated by combining a working condition recognition result, a fusion control quantity is formed by the prediction control instruction and temperature feedback, amplitude limiting control is conducted according to thermal power evaluation and a set threshold value, coordinated adjustment of a pump, a valve and a bypass assembly is achieved, and if recognition fails or data is abnormal, the system automatically freezes prediction control and executes closed-loop adjustment only depending on feedback. And the standby device takes over the fault after fault judgment, so that continuous operation and safety maintenance of the system are guaranteed. The system has a modular structure and complete maintenance process support.

The invention relates to the technical field of model prediction, in particular to a power battery thermal management simulation method and system based on a neural network. The method comprises the following steps: acquiring electrical performance parameters, thermal performance parameters and mechanical performance parameters corresponding to the power battery through coupling experiment measurement, and performing three-dimensional coupling simulation construction to generate a three-dimensional physical field coupling model of the power battery; battery thermal characteristic evaluation is carried out from four dimensions of a micro material corresponding to the power battery, a battery monomer, a battery module and a thermal management system through the power battery three-dimensional physical field coupling model, and a power battery thermal characteristic data set is obtained; and constructing a multi-scale deep neural network architecture based on a neural network in combination with the thermal characteristic data set of the power battery to perform thermal management prediction training and thermal management constraint optimization control, and generating an optimal thermal management control strategy of the power battery to execute corresponding thermal management control work. According to the invention, efficient simulation and intelligent prediction optimization of thermal management of the power battery can be realized.

The invention relates to the technical field of thermal management, in particular to a battery thermal management method and system based on intelligent control, and the method comprises the following steps: sorting and calibrating the real-time temperature data of a battery pack by adopting a support vector machine based on the data collected by a temperature sensor, and recognizing a battery unit needing thermal load adjustment; and evaluating current and cooling resource requirements, performing thermal load adjustment, and generating thermal load adjustment configuration. According to the invention, by applying the support vector machine and online gradient lifting, the accuracy and adaptability of battery thermal management are effectively improved, by analyzing and adjusting the battery temperature in real time, it is ensured that the battery unit operates at the optimum temperature, the charging and discharging efficiency and safety of the battery are remarkably improved, and by dynamically adjusting the cooling process, the cooling efficiency of the battery is improved. Therefore, the battery can maintain the optimal state under various operation conditions, the energy loss is reduced, the overall performance is improved, and the prediction capability for future changes is enhanced through continuous learning and self-optimization, so that the thermal management is more active.

The invention relates to a simulation and optimization method and device for a battery thermal management system, and belongs to the technical field of battery simulation. The method comprises the following steps: constructing a battery thermal simulation model based on physical characteristics of a battery; establishing a heat conduction model and a heat balance equation of the battery, substituting the heat conduction model and the heat balance equation into the battery thermal simulation model, and simulating temperature distribution of the battery under different working conditions by using a numerical solution method to obtain a simulation result; optimizing the design scheme of the battery thermal management system based on the simulation result; verifying the optimized battery thermal management system based on an actual test environment to obtain a verification result so as to determine whether a design scheme of the optimized battery thermal management system is modified or not, and performing thermal management on the battery based on the optimized battery thermal management system under the condition of determining that the design scheme is not modified; the stability and safety of the battery system under the extreme temperature condition can be effectively improved, the service life of the battery is prolonged, and the energy utilization efficiency of the battery is improved.

The invention discloses a power battery thermal management device based on compounding of a double-layer phase change material and a liquid cooling plate, the device comprises a battery box body (1), batteries (2), the liquid cooling plate (3), a micro-channel (4), a first layer of phase change material (5) and a second layer of phase change material (6), the batteries (3) are sequentially arranged in the middle of the battery box body (1) along the thickness direction; the first layer of phase change material (5) and the second layer of phase change material (6) are filled between the battery (2) and the liquid cooling plate (3), and the heat conductivity coefficient of the second layer of phase change material (6) close to the battery is smaller than that of the first layer of phase change material (5) close to the liquid cooling plate. Through two layers of phase change materials with different heat conductivity coefficients, the low-heat-conductivity-coefficient phase change material absorbs heat by virtue of phase change latent heat to serve as a heat transfer buffer area to improve the temperature uniformity of the battery pack, and the high-heat-conductivity-coefficient phase change material strengthens heat transfer to reduce the highest temperature of the battery pack and improve the efficiency and the stability of battery heat management.

The invention discloses an immersed liquid-cooled battery pack, and relates to the technical field of battery thermal management. A plurality of battery cell columns, and in each battery cell column, a cooling flow channel is arranged in each battery cell gap or every at least one battery cell gap; the liquid inlet shunt tube is arranged close to the central area of the whole battery cell columns, one end of the liquid inlet shunt tube is provided with a first liquid inlet, the other end of the liquid inlet shunt tube is closed, and two sides are provided with first liquid outlets; the backflow collecting pipe comprises two backflow sections and a collecting section, the two backflow sections are located on the two sides of the whole battery cell columns, each backflow section is provided with a second liquid inlet, and the collecting section is provided with a second liquid outlet; the areas of the first liquid outlet and the second liquid inlet are gradually increased from one end of the liquid inlet shunt pipe to the other end of the liquid inlet shunt pipe, so that the flow of cooling liquid in each cooling flow channel of the battery cell column is balanced. By optimizing the layout of the cooling flow, the liquid inlet shunting pipe and the backflow collecting pipe, the use amount of the cooling liquid and the temperature difference between the blade and the battery cell can be reduced, and the space utilization rate and the cooling efficiency are improved.

The invention relates to the technical field of vehicle heat management, in particular to a vehicle and a vehicle heat management method and device.The method comprises the steps that temperature parameters of all devices in the vehicle and the environment temperature of the area where the vehicle is located are obtained; determining a target operation mode of the vehicle according to the temperature parameter and / or the environment temperature; according to the control strategy corresponding to the target operation mode, the operation state of at least one of cab heat management equipment, battery heat management equipment and motor heat management equipment is adjusted until the temperature reaching shutdown condition corresponding to the target operation mode is met, the thermal management operation mode of the vehicle is determined by combining the temperature parameters of all devices in the vehicle with the environment temperature of the area where the vehicle is located, and therefore the operation state of at least one of cab thermal management equipment, battery thermal management equipment and motor thermal management equipment is correspondingly adjusted according to the target thermal management operation mode of the vehicle. Thermal management of a cockpit, a battery and a motor in the vehicle is achieved.

The invention discloses a thermal management system for a vehicle. The thermal management system comprises an electrically-driven cooling system, an air conditioning system and a battery management system, the electric drive cooling system is communicated with the air conditioning system and the battery management system, the air conditioning system is communicated with the battery management system, and the electric drive cooling system, the air conditioning system and the battery management system can be selected according to the working state of the vehicle. The system has the beneficial effects that the front-end module assembly is integrated with an electric drive cooling system radiator, a cockpit refrigerating circuit, a first refrigerating circuit, a second refrigerating circuit and a heating circuit, so that the performance requirements of a thermal management system under various working conditions of driving, conventional charging and quick charging can be met; in addition, by means of integrated design of the battery management system, the air conditioning system and the electric drive cooling system and combination of control strategies of the whole vehicle thermal management system, the performance requirements of the whole vehicle thermal management system under different working conditions can be met, energy consumption of the thermal management system is reduced, the endurance mileage is increased, and cost, weight and whole vehicle arrangement difficulty of the whole vehicle battery thermal management system are reduced.

The invention relates to the technical field of battery thermal management, in particular to a liquid-cooled fuel cell thermal management subsystem and a control method thereof.The liquid-cooled fuel cell thermal management subsystem comprises a fuel cell body, a cooling liquid circulation system, a temperature sensor, a flow sensor and a thermal management system controller; the heat management system controller is electrically connected with the temperature sensor, the flow sensor, the water pump, the radiator, the heater and the control valve, calculates the pile temperature of the fuel cell main body through load current, and continuously monitors the inlet temperature and the outlet temperature of the fuel cell main body and the outlet flow of the water pump at the same time; and the working state of the cooling liquid circulation system is controlled according to the monitored and calculated data, so that the temperature of the fuel cell main body is accurately controlled.

The embodiment of the invention provides a training method of a battery temperature field prediction model and a battery temperature field prediction method. The method comprises the following steps: generating a thermal runaway example based on a reference working condition parameter and a boundary condition temperature of a battery pack; determining characteristic parameters respectively corresponding to a plurality of modeling nodes of the battery pack in the thermal runaway example; according to the characteristic parameters corresponding to the plurality of modeling nodes, screening out modeling nodes meeting a predetermined condition from the plurality of modeling nodes as characteristic points; spatial distances and temperature variation amplitudes between the feature points and other modeling nodes meet preset conditions; generating a training set according to the reference working condition parameter and the feature parameter corresponding to each feature point; and training the battery temperature field prediction model based on the training set. According to the method, the technical problem that the model training efficiency is not ideal due to the contradiction between the battery temperature distribution gradient and the model modeling efficiency in the prior art is solved.

The invention relates to a preparation method of a polyurethane-based flexible phase-change material and a battery heat management device. Polyethylene glycol is used as a phase-change material, and adipic dihydrazide (ADH) and 4, 4 '-diphenyltetracarboxylic dianhydride (ADH) are integrated at a condensation end of a heat pipe; at least one of 4, 4 '-diaminobenzanilide (DABA) is used as a cross-linking agent, and at least one of HMDI or IPDI is used as a chain extender to prepare the polyurethane-based flexible phase change material with enthalpy value, flexible rigidity and appropriate phase change temperature. The material not only has excellent mechanical strength and thermal stability, but also has healing property, recoverability and shape memory function. The polyurethane-based flexible phase change material serves as an energy storage film and forms a sealing structure with the condensation end through mechanical pressing. When the temperature rises, the energy storage film B1 absorbs heat and expands, the contact area with the outside is increased, the heat dissipation power is improved, and the heat dissipation efficiency and the heat load management capacity are remarkably improved by maximizing the heat transfer area and utilizing the high latent heat characteristic.

The present disclosure provides a self-adaptive lithium-ion battery method using knowledge-reinforced machine learning and Kalman filtering, an electronic device, and a storage medium. The method includes training and synchronizing an artificial neural network with dual extended Kalman filters to capture battery capacity data of each of lithium-ion batteries; integrating prior knowledge with Gaussian process regression to form an integrated knowledge-reinforced Gaussian process regression; training a stochastic capacity degradation model by employing integrated knowledge-reinforced Gaussian process regression with captured battery capacity data to obtain a trained stochastic capacity degradation model; performing capacity prediction using trained stochastic capacity degradation model to obtain remaining useful life of one or more testing lithium-ion batteries; generating an air mass flow rate and a charging / discharging rate by a controller; and inputting the air mass flow rate and the charging / discharging rate into a battery thermal management system to improve battery RULs by adjusting lithium-ion battery temperature.

The invention relates to the technical field of battery thermal regulation and control, and provides a self-adaptive regulation and control method and system for a battery thermal management system, and the method comprises the steps: collecting the real-time temperature data of a battery, analyzing the temperature distribution of the battery after obtaining the current battery temperature information, and inputting the target temperature gradient information into a preset analysis model after obtaining the target temperature gradient information; cooling regulation and control parameters and heating regulation and control parameters are obtained, a battery cooling system and a battery heating system are controlled, a battery temperature regulation and control result and a battery heating regulation and control result are obtained, a battery thermal management control strategy is generated, and self-adaptive regulation and control are conducted on the battery based on the battery thermal management control strategy. By generating a battery thermal management control strategy, self-adaptive regulation and control of the battery are realized, quick response can be realized in a complex working environment and dynamic load change, and the problems of low response speed and insufficient regulation and control precision in the face of the complex working environment and the dynamic load change are solved.