1323 results about "Battery thermal management" patented technology

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 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 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 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 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 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 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 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 invention discloses a lithium battery thermal runaway risk dynamic regulation and control method and system, and the method comprises the steps: collecting temperature data in a new energy automobile battery module, and constructing a temperature field matrix; judging whether the lithium battery has a temperature risk based on the temperature field matrix; when the temperature risk exists in the lithium battery, risk grades are divided; and based on the divided risk levels, dynamically regulating and controlling the thermal runaway risk of the lithium battery. The differential cooling parameters are determined according to the risk level and the hot spot position, and the control strategy is optimized in real time through feedback data, so that the flow velocity adjustment and heat dissipation power distribution of the liquid cooling system are more scientific and effective, the overall performance of battery thermal management is improved, the risk of thermal runaway of the lithium battery is effectively reduced, and the service life of the lithium battery is prolonged. The method has wide application prospects in the fields of new energy automobiles and the like, and stable operation of the system and personnel safety guarantee can be remarkably enhanced.

The invention discloses a thermal management control method for a power battery. The method comprises the following steps: establishing a basic model for calculating heating and cooling of the battery; basic control logic is set, and the basic model is substituted into different temperatures to select different control modes; data management and analysis including real-time state monitoring, historical data calling, cloud platform data calling and big data comparison rule searching; a model learning algorithm is introduced, historical working conditions, environmental parameters and user behavior data are fused, the system temperature trend is predicted, and temperature management is started in advance; a temperature control model is dynamically optimized through big data; the optimal energy consumption of the control temperature is used as a target function; and 5) fault early warning: obtaining characteristic laws of temperature, voltage, time and the like during a thermal event and each fault event, and realizing early warning when the vehicle has similar characteristics. According to the invention, temperature uniformity control in the whole life cycle of the power battery can be realized, the service life of the battery is prolonged, and timely early warning can be carried out on thermal safety control.

The invention discloses a lithium battery thermal parameter online monitoring method and equipment. According to the method, a one-dimensional heat transfer model of the battery is established, and a finite element model is solved by inversion of battery surface temperature change actually measured in operation, so that combined monitoring of the heat conductivity coefficient, the convective heat transfer coefficient, the average temperature and the heat production power P of the lithium battery is realized. Meanwhile, only the temperature sensor needs to be arranged on the surface of the battery, the battery does not need to be disassembled or an internal sensor does not need to be implanted, the battery integrity is kept, and the method is suitable for battery full-life-cycle monitoring. According to the method, the key thermal parameters of the lithium battery can be identified online in a non-intrusive, low-cost and high-reliability manner, support is provided for thermal management, health assessment and thermal safety early warning of the battery, and the method is suitable for various battery configurations and thermal management systems.

The invention discloses a heat dissipation control method and device for a single-phase immersed liquid cooling charging pile and a medium, and relates to the technical field of battery thermal management, and the method comprises the steps: carrying out the high-precision scanning and dynamic feature extraction of a built-in fiber grating array of a cold plate according to a partition flow control signal, and obtaining a temperature field matrix and a dynamic thermal feature set; performing multi-dimensional fusion analysis and electrochemical coupling analysis on the temperature field matrix and the dynamic thermal feature set to generate a thermal coupling parameter set; performing real-time risk quantitative evaluation and risk topological mapping on the thermal coupling parameter set, and outputting a risk topological data set; and performing cooling intensity dynamic modulation according to the risk topology data set, and obtaining a partition flow redistribution instruction. According to the invention, fine monitoring of the cold plate-battery interface contact thermal resistance is realized through a high-precision pressure field reconstruction technology, the accuracy and reliability of pressure distribution detection are significantly improved, and the local overheating risk caused by an assembly gap is effectively eliminated.

The invention relates to the field of battery thermal management, in particular to an AUV lithium ion battery thermal state prediction method. Comprising the following steps: constructing an electrothermal coupling reduced-order thermal model, and generating initial temperature estimation with physical consistency; a physical guidance space-time dynamic graph convolutional network PG-STDGCN is constructed as an error correction model, the model constructs a static and dynamic fused adjacency matrix by embedding physical priori such as a battery topological structure and circuit characteristics into dynamic graph learning, and a correction value of initial temperature estimation is output; and adding the initial temperature estimation and the correction value to obtain a final battery thermal state prediction result. According to the method, organic fusion from physical modeling to data-driven correction is realized, interpretability, precision and adaptability are considered under the dynamic working condition of the AUV, and the battery pack-level multi-cell temperature prediction performance is remarkably improved.

The invention relates to the technical field of battery thermal management, in particular to an immersed liquid-cooled power battery thermal management system, which is provided with a data processing unit and integrates a plurality of modules such as a data storage module, a data analysis module, a data control module and the like, and the data storage module can store real-time data of a cooling unit and can also store normal operation data information. The data analysis module carries out comparative analysis on real-time data and normal operation data and accurately grasps the temperature change trend, and the data control module carries out intelligent control on the whole thermal management system according to a preset strategy and an analysis result, so that the working state of the cooling unit is accurately adjusted; the rotating speed of the circulating pump and the working strength of the radiator are adjusted according to the difference between the highest temperature of the battery cell and the initial temperature of the cooling liquid to ensure efficient operation of the system.

The utility model discloses an immersed battery thermal management system which comprises a battery, a columnar shell internally provided with a battery pack, and a spiral pipe liquid flow channel wrapped outside the battery pack, the two ends of the columnar shell are sealed by flange end sockets, a closed cavity is formed in the columnar shell and filled with cooling liquid, and the flange end sockets are provided with a liquid inlet pipeline, a liquid outlet pipeline and a wiring port. The spiral pipe liquid flow channel is soaked in cooling liquid, the outer edge of the spiral pipe liquid flow channel is in direct contact with the inner wall of the columnar shell, and the inner edge of the spiral pipe liquid flow channel is a battery pack placing space; the battery pack is formed by connecting a plurality of single batteries in series and in parallel, and the periphery of each single battery is coated with a sealant coating; according to the battery heat management system, heat transfer between a battery and the external environment is achieved through heat convection, and therefore heat exchange is achieved; according to the utility model, the cooling effect of the power battery is improved by utilizing a flow heat exchange mode, and the device is different from a traditional large-scale immersed liquid cooling device, and the lightweight design in the power battery design is highlighted.

The invention discloses an external power battery thermal management system, and relates to the technical field of vehicle thermal management, the external power battery thermal management system comprises a vehicle end thermal management loop and a station end thermal management loop, the vehicle end thermal management loop is arranged on a vehicle, and the vehicle end thermal management loop comprises a battery unit and a vehicle battery thermal management unit which are connected; the vehicle battery thermal management unit is used for heat exchange of the battery unit. The station end heat management loop is arranged in the charging station and comprises a station end battery heat management unit, a first stop valve, a controller and a connector which are communicated, the connector is used for being detachably connected with the vehicle end heat management loop when a vehicle is connected into the charging station, and the controller can automatically control the stop valve to be switched to the closed state when the charging station breaks down. The first stop valve and the controller are arranged in the station end heat management loop, when the charging station breaks down, the controller can automatically control the stop valve to be switched to the closed state, the heat management loop of the vehicle end and the station end is cut off in time, and leakage of cooling liquid is effectively prevented.

The invention relates to the technical field of battery thermal management, in particular to a topological optimization structure cold plate of a battery non-uniform heat source, a design method and a battery pack. The specific design method comprises the following steps: establishing a battery non-uniform heat source model and a cold plate structure two-dimensional model; taking heat exchange uniformity, heat exchange efficiency and flow energy dissipation as objective functions, carrying out flow channel topological optimization, and establishing a three-dimensional topological optimization flow channel model; establishing a battery pack packaging model; and carrying out CFD simulation calculation, and obtaining the topological optimization cold plate structure by adjusting the weight ratio of heat exchange uniformity, heat exchange efficiency and flow energy dissipation until the battery pack packaging model meets a preset condition. The method comprises the following steps: constructing a model of a non-uniform heat source of a battery fixed object; a topological optimization structure design method is used for designing a battery pack cold plate to constrain the highest temperature rise and the temperature difference; the problems that according to an existing cold plate design method, the battery temperature is inconsistent, and certain errors exist in the actual application process are solved.

The invention provides a thermal management method of a battery, a vehicle and a controller, and relates to the technical field of power batteries, and the thermal management method comprises the following steps: obtaining the predicted residual electric quantity of a power battery of the vehicle in a predicted driving road section, the target demand power of the power battery and the current state of the power battery; obtaining a target temperature range based on the predicted residual electric quantity and the target demand power; based on the current state of the power battery, obtaining a first temperature of the power battery on the predicted driving road section; based on the first temperature and the target temperature range, the current temperature of the power battery is controlled, so that the current temperature of the power battery is within the target temperature range. According to the method, the target temperature range of the predicted driving road section can be determined in advance, and thermal management is timely performed on the power battery according to the target temperature range, so that the energy consumption of the power battery is improved.

The utility model relates to the technical field of power batteries, and discloses a heating and cooling system integrated structure and a battery thermal management system, the heating and cooling system integrated structure comprises a refrigeration base material, a first insulating film, a heating core body and a second insulating film, the first insulating film is attached to the refrigeration base material, the heating core body is attached to the first insulating film, and the second insulating film covers the heating core body. As only one layer of insulating film is arranged between the heating core body and the refrigeration base material, compared with the prior art, the heat transfer medium between the heating core body and the refrigeration base material is less, and the heat transfer efficiency is high.

The invention relates to the technical field of battery thermal management, in particular to an energy storage battery module multi-mode heat flow field coupling early warning cooling decision system and method, which comprises a multi-sensor acquisition module, an infrared thermal imaging preprocessing module, a battery pack thermal diffusion mechanism model module, a data fusion model module and a cooling decision module, the core innovation lies in that a battery pack thermal diffusion mechanism model is constructed based on a differential geometry theory, a battery pack surface temperature field is regarded as a Riemannian manifold embedded in a three-dimensional space, early prediction of thermal runaway is realized by analyzing topological structure change of a heat flow field, and a system acquires temperature, pressure, vibration and other multi-modal data of an energy storage battery module and performs thermal runaway prediction on the energy storage battery module. The method comprises the following steps: preprocessing infrared thermal imaging data, generating three-dimensional thermal diffusion data, constructing an electric-thermal-flow multi-physical field dynamic model, identifying a critical point and a topological structure in a thermal flow field, generating thermal field characteristic data, fusing multi-source data to generate a thermal diffusion imbalance criterion, and optimizing cooling parameters by adopting a reinforcement learning algorithm.

The invention relates to the technical field of electric vehicle battery thermal management, in particular to an intelligent battery thermal management method and system based on environment temperature self-adaptive adjustment. A real-time response mechanism based on the dynamic temperature difference between the environment temperature and the battery temperature is provided, and through the four steps of temperature index data collection, thermal management battery protection, thermal management adaptive control and thermal management dynamic adjustment, when the environment battery temperature difference is larger than a threshold value, a continuous high-power mode is started, a temperature region can be rapidly converged, and the power consumption is reduced. The target temperature zone arrival time is effectively shortened; when the environment battery temperature difference is smaller than the threshold value, the intermittent low-power mode is switched, and energy consumption minimization can be achieved; the working temperature of the power battery can be quickly controlled near or within the most suitable working temperature, and the probability that the battery is reduced or even does not generate related side reactions is ensured, so that the cycle life of the battery is prolonged.

The invention belongs to the technical field of lithium ion battery thermal management, and particularly discloses a pump-free self-driven immersed battery thermal management system and a control method, which realize high-speed jet flow of a cooling liquid and rapid reduction of the surface temperature of a battery through the height difference between a condensation cavity and a battery cavity by a jet flow impact technology. A thermal boundary layer is broken through the cavitation effect, the heat transfer coefficient is remarkably increased, and the transient heat dissipation requirement of high-rate charging and discharging is met. The condensation cavity cooperates with the intelligent control module to ensure uniform temperature distribution of the battery pack. Based on real-time regulation and control of sensor feedback, system response time is shortened, and temperature lag is avoided. The separation design of the battery cavity and the condensation cavity simplifies the traditional same-cavity structure, reduces the circulation resistance of the working medium, and guarantees the long-term stable operation of the system. Phase change heat absorption, intelligent control, potential energy driving and ultrasonic enhancement are fused, the energy efficiency limitation that traditional liquid cooling depends on external pump work is broken through, system power consumption is reduced, module temperature difference is effectively controlled, and thermal runaway response time is shortened.

The invention discloses a hybrid power vehicle collaborative thermal management method and system based on energy flow intelligent perception. The method comprises the following steps: sensing and predicting multi-dimensional energy flow characteristics of an engine in real time through a pre-trained time sequence neural network model; the predicted value is used as a feedforward signal, real-time temperature feedback of the power battery is combined, and a thermal management cooperative control instruction is generated through feedforward-feedback cooperative decision logic; and finally, a heat exchange path between the engine cooling system and the battery heat management system and respective execution mechanisms are dynamically adjusted, so that prospective active cooperative temperature control is realized. The problems of passive response, control delay and low energy efficiency of an existing thermal management system are solved, and accurate and efficient two-way optimization management of the thermal states of the engine and the battery is achieved.

The invention discloses an energy storage battery thermal diffusion modeling method based on P2D-solid heat transfer coupling, and relates to the technical field of energy storage battery thermal management. The method comprises the following steps: constructing a pseudo two-dimensional (P2D) electrochemical model and a three-dimensional heat conduction model of a single battery, and calculating lithium ion concentration, potential and corresponding heat source distribution; mapping the obtained heat source as a volume heat source to a thermal model and realizing bidirectional feedback; setting a thermal runaway triggering condition to simulate temperature rise abrupt change; battery SOH state modeling is introduced, and the aging process is dynamically corrected and reflected through material parameters; finally, time domain simulation is carried out, and temperature field evolution and safety behavior prediction in the whole life cycle are obtained. According to the method, the coupling process of the microelectrochemical reaction and the macroscopic temperature change of the battery can be captured at the same time, the thermal diffusion characteristics of different decline stages are accurately described, and visual modeling of thermal runaway behaviors is supported. The method has the remarkable advantages of high precision, high applicability, perfect safety assessment capability and the like.

The invention provides an energy storage battery full life cycle management method, system and device and a medium, and belongs to the technical field of energy storage battery management, and the method comprises the steps that an edge node collects energy storage battery operation parameters, power grid operation parameters and environmental data in an energy storage battery box and provides the parameters to a cloud node; the cloud node solves an energy storage battery charging and discharging power instruction and an energy storage battery thermal management set value by taking the minimum energy storage battery full life cycle cost function as a target and taking an energy storage battery SOC constraint, a power constraint and a power grid power balance constraint as constraint conditions, and issues the energy storage battery charging and discharging power instruction and the energy storage battery thermal management set value to the edge node; and the edge node adjusts the operation parameters of the energy storage battery according to the charging and discharging power instruction of the energy storage battery and the thermal management set value of the energy storage battery, inputs the operation parameters into the battery health state prediction model, and performs early warning and reminds operation and maintenance personnel when the energy storage battery is predicted to have a fault. The full-life-cycle closed-loop management of the energy storage battery is realized, the safe operation of the battery is ensured, and the operation efficiency is improved.