63556results about "Secondary cells" patented technology

The invention relates to a method for preparing a lithium iron phosphate / carbon composite material of a lithium ion battery, which belongs to the technical field of lithium ion batteries. The method for preparing the lithium iron phosphate / carbon composite material of the lithium ion battery comprises the following steps of: 1) preparing a suspending graphene-dispersed aqueous solution system, namely, crushing graphite to 1 to 5 microns, adding the crushed graphite into distilled water or purified water, adding 0.1 to 5 percent of surfactant, heating with stirring the mixed solution to 180 to 250 DEG C in a sealing way, performing stirring for 2 to 6 hours and reducing the temperature; 2) crushing lithium iron phosphate to the particle size of 1 to 5 microns, adding the crushed lithium iron phosphate into the distilled water or the purified water, adding with stirring 0.01 to 1 percent of coupling agent, performing uniform stirring, adding the graphene-dispersed aqueous solution, and performing stirring and filtration; and 3) vacuum-drying solid powder obtained by the filtration, and calcinating the dried solid powder for 2 to 12 hours to obtain the graphene-coated lithium iron phosphate cathode material. The method has the advantages of simple process, high material performance, high conductivity, high bulk density, high compacted density and the like.

A handheld fan includes a housing, a fan module, a power module, and a retractable cable module. The fan module is disposed in the housing, the power module is disposed in the housing and configured to supply power to the fan module, the retractable cable module is disposed in the housing and includes a cable retractable relative to the housing to be withdrawn into the housing or extended out of the housing, and the cable is configured to connect to an external electronic device, and supply power to the external electronic device through the power module. When a user carries the handheld fan and has a charging need, the cable is capable of being pulled out of the housing of the handheld fan, and connected to the external electronic device including a mobile phone. The power module is configured to supply power to the external electronic device.

A battery pack according to one or more embodiments of the present disclosure includes a plurality of battery cells; and a housing including a bottom member, a plurality of side walls, and a top member, the bottom member, the plurality of side walls, and the top member form an interior accommodation space configured to accommodate the plurality of battery cells, wherein at least one among the plurality side walls, the top member, and the bottom member are formed by a plurality of metal sheets that are roll bonded to each other, wherein at least one cooling channel is formed between bonding areas of the plurality of metal sheets, and wherein at least one crash channel is formed between bonding areas of the plurality of the metal sheets.

A box structure includes a cooling member and a frame. The cooling member includes a main pipe and at least one branch pipe connected to the main pipe. The main pipe is configured to pass a coolant into the branch pipe, and the branch pipe is configured to contact the battery pack to cool the battery pack. An accommodation groove is created at a bottom of the frame, at least a part of the main pipe is located in the accommodation groove, and the main pipe is bonded and fixed to the accommodation groove.

The invention relates to the technical field of lithium battery safety monitoring, and discloses a lithium battery pack thermal runaway early warning system based on multi-mode sensing. The system comprises multi-source sensing data acquisition, thermal field feature tensor construction, thermal field reconstruction and thermal coupling association network generation. The multi-source sensing data acquisition module acquires multi-dimensional heterogeneous data from a temperature sensor, a voltage and current monitoring unit, a gas component detector and an acoustic emission sensor, and generates a standardized data bin through timestamp alignment and missing value compensation; the thermal field feature tensor construction module extracts features such as temperature gradient and electrochemical response from the data bin in a multi-scale manner, and constructs a tensor in combination with time continuity; the thermal field reconstruction module generates association diagrams according to the feature space-time distribution and fuses the association diagrams into a lithium battery pack three-dimensional thermal field reconstruction map; and the thermal coupling association network generation module extracts a feature vector cluster, calculates an entropy weight value, and generates a network according to a high-entropy node space adjacency relationship. According to the system, multi-dimensional data fusion is realized, and the thermal runaway evolution law can be comprehensively described.

The invention relates to the technical field of energy storage management, in particular to a high-energy-density liquid cooling energy storage system based on thermal management optimization, which comprises a thermal response calculation module, a thermal risk area identification module, a cooling resource allocation module, a thermal decoupling state judgment module and a charging and discharging power limiting module. According to the method, the inlet temperature, the outlet temperature and the cooling liquid flow speed of the high-energy-density energy storage equipment are obtained, the unit thermal load conversion rate is calculated, the unit thermal response deviation degree is determined, the thermal risk area higher than the standard limit is clearly recognized in the energy storage equipment, the corresponding liquid cooling channel is accurately selected, and the cooling liquid pulse flow frequency is optimized; the pertinence and timeliness of the cooling liquid in actual use are effectively improved, the local overheating hidden danger is avoided, the lag response is marked in time by monitoring the cooling liquid pressure difference and the temperature rise change in real time, the decoupling state between the cooling liquid and the thermal load is judged, the charge and discharge power dynamic reduction measure is implemented, and the trend of abnormal and continuous accumulation of the local thermal load is restrained.

The invention relates to the technical field of heat management of energy storage systems, and discloses a heat management method of an intelligent distributed liquid cooling energy storage system. The method comprises the following steps: acquiring operation state parameters of a plurality of single batteries and optimizing timestamp synchronization; and processing the temperature data by adopting small-batch time series decomposition, and extracting change trend characteristics and abnormal hot spot positions. And based on the information, optimizing a heat exchange control rule base parameter set through a non-dominated sorting strategy, and generating optimized control parameters and priority rules. And in combination with inlet temperature and flow parameters of the liquid cooling system, a tabu search mechanism is utilized to decide a cooling liquid flow distribution scheme, and a branch control instruction is output. And finally, a flow constraint boundary is dynamically adjusted by adopting an approximate gradient projection technology, and a branch and bound strategy is fused to discretize and optimize a distribution path, so that the branch flow is finely regulated and controlled, and the thermal management precision and reliability of the energy storage system are improved. According to the method, the accuracy, adaptability and stability of thermal management of the liquid cooling energy storage system are improved.

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

Provided is an energy storage container. The energy storage container comprises a container body (1); in three directions, i.e., a first direction, a second direction, and an up-down direction, the sizes of the container body (1) in two directions among the three directions are the same as the size of a standard container having a preset size, and the size of the container body (1) in the remaining direction is smaller than the size of the standard container having the preset size, wherein the preset size is 10 chi, 20 chi, 30 chi, 40 chi or 45 chi, and the first direction, the second direction, and the up-down direction are perpendicular to each other. Under the condition that the size of the container body (1) is not greatly changed, the weight of the container body (1) can be reduced, and the energy storage container can be matched with conventional transportation apparatuses, thereby satisfying the transportation requirements of land transportation and / or ocean shipping, etc.

The invention relates to the technical field of batteries, and discloses a single battery and a battery pack, the single battery comprises a shell, a first cover plate, a battery cell and a first pole, along a first direction, one end of the shell is provided with a first opening, the battery cell is arranged in the shell, a first tab of the battery cell extends out from one end part of a battery cell body of the battery cell, and a second tab of the battery cell extends out from the other end part of the battery cell body; the first electrode lug is bent towards the first cover plate and forms a first bending point and a second bending point, the first electrode column and the first electrode lug are welded to form a first welding printing area, the first welding printing area is located between the second bending point and the end part of the first electrode lug, the length of the first electrode lug between the first bending point and the second bending point is L, in a second direction perpendicular to the first direction, a first spacing distance between the edge of the first welding printing area and the edge of the first cover plate is d, in the first direction, a second spacing distance between the inner side of the first cover plate and the root of the first tab is c, and L is larger than or equal to 0.6 mm and smaller than or equal to 20 mm. And the risks of tab tearing and battery monomer short circuit are reduced.

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 provides a positive electrode, a low-temperature electrolyte, a low-temperature sodium-ion battery and a preparation method and application of the low-temperature sodium-ion battery, and belongs to the technical field of battery materials. The low-temperature sodium ion battery comprises a positive electrode, a negative electrode and a low-temperature electrolyte, wherein the positive electrode comprises a positive electrode active material, a binder, sodium salt containing fluorine and sulfur and conductive carbon; the positive electrode is improved by adding sodium salt containing fluorine and sulfur, sulfur / fluorine rich in anion derivatives can be formed on a contact interface of the positive electrode and an electrolyte to form a firm SEI film, the internal resistance of the battery is further reduced, and the coulombic efficiency of the battery during charging and discharging at normal and low temperatures is improved. The low-temperature electrolyte comprises an ester solvent and an ether additive, by adding the ether solvent, the physicochemical property of the electrolyte and the composition of an SEI film on a contact interface of an electrode and the electrolyte are optimized, the viscosity of the electrolyte at low temperature is reduced, the ionic conductivity is improved, and formation of the SEI film rich in sodium fluoride on the surface of a negative electrode can be promoted; and thus, the problem of low coulombic efficiency of battery charge-discharge cycle at low temperature is solved.

The invention relates to the technical field of batteries, in particular to a battery. The battery comprises a diaphragm and an electrolyte, the diaphragm comprises a carrier layer and a coating, the coating comprises first particles, the components of the first particles comprise an ester group-containing polymer, and within the area of 100 [mu] m * 100 [mu] m of the surface of the coating, the number of primary particles of the first particles with the particle size smaller than or equal to 0.3 [mu] m accounts for 0.01%-4% of the number of the primary particles of the first particles; the electrolyte comprises cyclic carbonate and fluoroethylene carbonate, the weight ratio of the fluoroethylene carbonate in the electrolyte is 13%-50%, and the weight ratio of the cyclic carbonate to the fluoroethylene carbonate is (0.2-1.5): 1. According to the battery disclosed by the invention, a relatively stable and flexible SEI film is formed on the surface of the negative plate through synergistic cooperation of the diaphragm and the electrolyte, so that the interface stability between the diaphragm and the negative plate is improved, and the high-temperature long-cycle performance of the battery is improved.

The invention discloses a multistage fire-fighting and intelligent heat management combined system and method for an energy storage system, a battery cluster is provided with a single fire extinguishing nozzle, a composite detector monitors the state of the battery cluster in real time, and when any battery cluster meets a spraying condition, the fire extinguishing nozzle is triggered to spray a fire extinguishing material; the internal state of the energy storage cabin is monitored in real time through a composite detector, and when the interior of the energy storage cabin meets the spraying condition, a spraying nozzle is automatically started to continuously spray for preset spraying time; according to the centralized liquid cooling unit, a dual-redundancy compressor is combined with an ethylene glycol aqueous solution circulating system to conduct dynamic flow regulation and control, the opening degree of an electromagnetic valve of the dual-redundancy compressor is dynamically adjusted through a composite detector, and the internal temperature of an energy storage cabin is controlled; dynamically distributing flow according to the energy storage time period by adopting an intelligent temperature control algorithm; after the multi-stage fire-fighting module acts, the centralized liquid cooling unit is started for cooling; when the temperature detected by the composite detector exceeds a high-temperature threshold value, the fan is started for air replacement, and the multi-stage fire-fighting module is triggered to act.

The invention relates to the field of power battery energy management, in particular to a power battery pack charging and discharging efficiency dynamic optimization system and method, and the system comprises a central control unit, a multi-dimensional sensing module, a dynamic charging and discharging control module, a working condition-heat dissipation cooperation module, a parallel cell equalization module and an aging adaptation optimization module. The multi-dimensional sensing module is used for collecting basic parameters, polarization characteristics, parallel state, aging degree and environmental parameters of a battery pack, the dynamic charging and discharging control module is used for collecting data, the working condition-heat dissipation coordination module adopts a three-stage heat dissipation framework, and the parallel battery cell balancing module is used for balancing the battery pack through a dynamic current distribution and voltage active balancing double-coordination mechanism. The aging adaptation optimization module is used for grading and differentially optimizing charge and discharge parameters and heat dissipation strategies based on the aging degree of the battery cell, so that the problems of low charge and discharge efficiency, poor wide temperature range adaptability, weak parallel consistency, fast aging attenuation and multi-factor coupling deterioration of the power battery pack are solved.

The invention discloses a lithium ion battery immersed liquid cooling regulation and control method and device, terminal equipment and a storage medium, and relates to the field of lithium ion batteries, and the method comprises the steps: obtaining the current temperature data, historical temperature data and cooling liquid fluid parameters of a distributed array in a lithium ion battery, and determining the current temperature field distribution and predicted temperature field distribution; constructing a state space, and inputting the state space into the reference decision model, so that the model outputs corresponding actions according to the current state space by taking the minimum temperature difference of the battery module and the minimum cooling energy consumption as awards; according to the corresponding action, the micro electromagnetic valve and the cooling liquid pump are subjected to benchmark regulation and control; acquiring temperature data after reference regulation and control, and determining temperature deviation in combination with a preset temperature requirement; and regulating and controlling according to the temperature deviation. By implementing the method and the device, the stability of global temperature control is improved, so that the problem of temperature interference on other areas due to cooling liquid flow coupling caused by directly adjusting the opening degree of the valve according to local temperature difference in the prior art is solved.

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 relates to the technical field of batteries, in particular to a cover plate assembly, a battery and an electric device. The cover plate assembly comprises a cover plate body and a first insulating part, the cover plate body comprises supporting bosses, protruding parts and flat plate parts, the flat plate parts are arranged at the two ends of the protruding parts in the first direction, the supporting bosses are arranged on the inner sides of the corresponding flat plate parts, and the first insulating part comprises a first split body. The first split body comprises a main body part and a reinforcing insert embedded in the main body part, the main body part is arranged on the inner side of the cover plate body, an inserting groove is formed in the main body part, and the supporting boss is matched with the inserting groove in an inserting mode. According to the cover plate assembly, the bonding strength of the cover plate body and the first split body can be improved; and the overall strength of the first split body can be improved, so that the supporting strength of the first split body to the lug boss is improved, the structural strength of the cover plate body is improved, the deformation risk of the cover plate body during use is reduced, the cover plate body is prevented from being damaged, the safety performance of the battery is improved, and the service life of the battery is prolonged.

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.

A modular electric power take-off (E-PTO) system for a refuse vehicle includes a modular housing. The modular E-PTO also includes a motor, an inverter, a battery, and a hydraulic pump positioned within the modular housing. The modular housing is removably coupled with a front of a waste receptacle or a hopper of the waste receptacle of a refuse vehicle.

The invention discloses an asphalt-based hard carbon material as well as a pre-oxidation preparation method and application thereof. Belongs to the technical field of asphalt-based hard carbon materials. The pre-oxidation preparation method comprises the following steps: carrying out primary pre-oxidation treatment on asphalt at 250-400 DEG C in air flow of 50-500mL / min; crushing the obtained primary pre-oxidized asphalt, and then carrying out secondary pre-oxidation treatment at 250-400 DEG C in air flow of 50-500mL / min to obtain secondary pre-oxidized asphalt; and carrying out carbonization treatment on the secondary pre-oxidized asphalt. According to the method, the asphalt can be kept in a solid-phase state to be subjected to efficient and thorough oxidation cross-linking reaction, the production cost is reduced, the obtained asphalt-based hard carbon material has high first coulombic efficiency and high capacity, and powerful support is provided for commercial application of sodium-ion battery negative electrode materials and rapid development of an energy storage technology.

A thermal management system includes a compressor, a water-cooled condenser, a battery chiller, a valve body assembly, a first water pump, a second water pump, and a third water pump that are disposed in a centralized manner. The thermal management system can separately form a passenger compartment cooling loop, a passenger compartment heating loop, a battery cooling loop, a battery heating loop, and an electrical driver cooling loop, and any one or more of the passenger compartment, the battery, and the electrical driver can be cooled or heated.

The invention discloses a multi-modal fusion lithium iron phosphate battery thermal runaway early warning method and system, and the method comprises the steps: collecting multi-source heterogeneous data, such as temperature, voltage, gas concentration and shell strain pressure, in real time through deploying a heterogeneous sensor network, and carrying out the noise reduction and time sequence feature extraction through employing a sub-linear time low-rank approximation algorithm of a Hankel matrix; constructing a cross-modal feature association network by applying a secondary time algorithm of a maximum weight sparse subgraph problem, inputting a fused feature vector into a Bayesian network health degree evaluation model for probabilistic reasoning calculation to obtain a battery health degree score and a thermal runaway risk level, generating a graded early warning signal through multi-level early warning threshold comparison, and performing early warning on the battery health degree score and the thermal runaway risk level. And corresponding prevention and control suggestions are matched. The method solves the technical problems that single physical quantity monitoring is difficult to comprehensively reflect the complex change in the battery and the response delay of a centralized processing architecture causes the early warning lag, and achieves the timely capture and accurate early warning of the early weak characteristics of thermal runaway.

The invention discloses a battery monomer, a battery device and electric equipment, and belongs to the technical field of batteries. The battery monomer comprises a positive pole piece, a negative pole piece and a packaging bag, the positive pole piece comprises a positive current collector, a positive film layer and an insulating layer, the positive current collector comprises a positive main body part and a positive tab, the positive main body part comprises a coating area and a transition area, the transition area is located at at least one end of the coating area in the first direction, the positive film layer is arranged on at least one side surface of the coating area, and the insulating layer comprises a first part; the first part is arranged on at least one side surface of the transition area; the negative pole piece comprises a negative pole film layer, the edge of the negative pole film layer exceeds the edge, close to the positive pole lug, of the first part in the first direction, a chamfer structure is arranged at the joint of the first edge and the second edge of the negative pole piece, the negative pole film layer comprises graphite, and the volume average particle size Dv50 of the graphite is 8-20 microns; and the reliability and the cycle performance of the battery monomer can be improved.

A lithium ion battery thermal management control method based on joint state estimation comprises the following steps: establishing a lithium ion battery second-order RC equivalent electric model, and performing electric model parameter identification by adopting an improved robust adaptive multi-forgetting factor recursive least square method; establishing a dual-state lumped parameter thermal model of the lithium ion battery, and performing thermal model parameter identification by adopting an improved goat optimization algorithm; constructing an electrothermal coupling model based on the identified electrical model and the parameters of the dual-state lumped parameter thermal model, then constructing a minimum entropy adaptive Kalman filter based on a near-end strategy optimization algorithm, and then carrying out joint estimation on the SOC and SOT of the battery; and based on the joint estimation result, constructing a deep reinforcement learning optimized adaptive model prediction control algorithm, and performing thermal management control on the lithium ion battery through the deep reinforcement learning optimized adaptive model prediction control algorithm. According to the invention, more accurate and effective thermal management control of the lithium ion battery can be realized.

The invention discloses a heat dissipation plate structure based on vein bionics, a manufacturing method thereof and a battery, the heat dissipation plate structure based on vein bionics comprises a substrate and an inner flow channel module arranged in the substrate, the inner flow channel module comprises an inner flow channel inlet and an inner flow channel outlet which are arranged at two ends of the substrate, the multiple stages of inner flow channels are arranged between the inner flow channel inlet and the inner flow channel outlet and are sequentially connected, and the upper stage of inner flow channel dispersedly extends to form a plurality of lower stage of inner flow channels which are dispersed in a vein shape. Distribution of fluid in the heat dissipation plate is effectively optimized, fluid resistance generated by fluid movement and runner friction is reduced, and therefore the heat dissipation efficiency and the uniformity of a temperature field are remarkably improved.

The invention provides a diaphragm and a preparation method thereof and a lithium ion battery, the diaphragm comprises a porous support layer and a gradient functional layer, the porous support layer comprises a base membrane with the porosity of 45-60% and active groups modified on the surface of the base membrane, and the gradient functional layer comprises a heat conduction strengthening layer and an ion channel layer, the heat conduction strengthening layer comprises a first polymer and a modified boron nitride nanosheet, and the ion channel layer comprises a second polymer and a solid electrolyte nanowire. The porous supporting layer and the gradient functional layer are overlapped to form the composite diaphragm, so that high thermal stability, high wettability and high ion conductivity are synergistically realized, and formation of lithium dendrites can be inhibited.

The invention discloses an energy storage lithium ion battery thermal runaway multistage early warning method and system, and belongs to the technical field of lithium battery safety. The method comprises the steps that a three-dimensional closed-loop optical fiber monitoring network is constructed, distributed temperature sensing optical fibers are laid along the side face, the top face and the side face of a battery, and areas which are not smaller than 20 mm away from the center of a safety valve and not smaller than 15 mm away from a tab welding point are actively avoided; acquiring centimeter-level temperature field data through an optical fiber demodulator; and the processor calculates the temperature rise rate R and the temperature gradient G in real time based on the temperature field, and performs composite condition early warning. The triggering condition of the early warning is that when the temperature T of any measuring point reaches a preset threshold value, one of the temperature rise rate R and the temperature gradient G reaches the preset threshold value, and the proportion of all abnormal areas exceeding the threshold value in the total laying length of the optical fiber is not less than 30%, the early warning of the corresponding level is triggered. According to the method, local benign fluctuation can be effectively filtered, the false alarm rate is greatly reduced, and earlier and more accurate thermal runaway early prediction is realized.

The battery pack includes an enclosure including interconnected walls, one or more battery cells contained within the enclosure, and a heat-conducting plate defining one or more of the interconnected walls and being structurally load-bearing. The heat-conducting plate has a first section, the one or more battery cells in heat exchange relationship with the first section, and a second section in heat exchange relationship with the first section. The second section is in heat exchange relationship with an environment outside the enclosure for providing heat exchange between the one or more battery cells and the environment.

The invention discloses a battery prefabricated cabin intelligent refrigeration control method and system based on data driving, and relates to the technical field of battery energy storage system thermal management, and the method comprises the steps: collecting the operation multi-source data of a battery prefabricated cabin, and constructing the current thermal environment state expression; constructing a battery cabin short-term internal heat change trend prediction model based on the operation multi-source data of the battery prefabricated cabin; and according to the current thermal environment state expression and the thermal trend prediction result of the battery compartment short-term internal thermal change trend prediction model, an optimal control strategy for an air cooling, liquid cooling or composite refrigeration mode is formulated. According to the method, a closed-loop thermal management system driven by data is formed by constructing a thermal state expression module, a thermal trend prediction module and an intelligent refrigeration decision module, accurate recognition and active regulation and control of the thermal risk of the battery prefabrication cabin are achieved, the temperature control precision and the response efficiency are improved, energy consumption and over-control risks are effectively reduced, and the method is suitable for popularization and application. And the system has the advantages of remarkable engineering practical value and system intellectualization.