CN-121981011-A - Lithium battery energy storage cabin smoke spreading modeling method and related device

Abstract

The invention provides a smoke spreading modeling method and a relevant device for a lithium battery energy storage cabin, and belongs to the field of energy storage safety protection. The method comprises the steps of establishing a three-dimensional lithium battery energy storage cabin model based on computational fluid mechanics and simulating operation to obtain an initial simulation result, obtaining real-time operation parameters of an energy storage cabin, comparing the real-time operation parameters with the initial simulation result, correcting the model according to deviation data to obtain a corrected model, dividing the corrected model into blocks according to pressure gradients, and simulating smoke propagation by using corresponding accuracy calculation rules and grid sizes according to different areas to obtain a simulation result. According to the invention, by constructing a three-dimensional CFD model coupled with multiple physical field effects and combining a real-time operation parameter and an initial result deviation correction model, accurate smoke propagation simulation is realized, the problem of simulation deviation in the prior art is solved, accurate smoke propagation simulation and real-time prediction of the lithium battery energy storage cabin are realized, and a reliable basis is provided for fire safety design and emergency decision of the energy storage cabin.

Inventors

• LIN WEI
• WEN YUNLONG
• ZHANG YI
• FENG BAO
• ZHU YULIN
• LU JUNHAN
• HOU WEI
• LI XINHAI
• ZENG LINGCHENG
• LIAN ZHIBIN
• ZHANG ZHIQIANG
• XIAO XING
• WU MIANTING
• LIU JUNYU
• LIU WENPING

Assignees

• 广东电网有限责任公司中山供电局

Dates

Publication Date

20260505

Application Date

20260129

Claims (10)

1. 1. The flue gas spreading modeling method for the lithium battery energy storage cabin is characterized by comprising the following steps of: establishing a three-dimensional lithium battery energy storage cabin model based on computational fluid mechanics and performing simulation operation to obtain an initial simulation result, wherein the three-dimensional lithium battery energy storage cabin model is coupled with a plurality of physical field effects of heat transfer, mass transfer, chemical reaction and battery thermal runaway in the flue gas flowing process; acquiring real-time operation parameters in an energy storage cabin, comparing the real-time operation parameters with the initial simulation result, and correcting the three-dimensional lithium battery energy storage cabin model based on deviation data obtained by comparison to obtain a corrected three-dimensional lithium battery energy storage cabin model; And dividing the corrected pressing force gradient of the three-dimensional lithium battery energy storage cabin model into blocks, and carrying out smoke spreading simulation by adopting calculation rules with corresponding precision and grid dimensions aiming at different divided areas to obtain a smoke spreading simulation result.
2. 2. The method of modeling smoke propagation in a lithium battery energy storage compartment of claim 1, wherein the step of constructing a computational fluid dynamics-based three-dimensional lithium battery energy storage compartment model comprises a multi-physical field coupling process comprising: Describing the thermal runaway reaction dynamics of the battery by adopting an Arrhenius formula to obtain thermal runaway reaction dynamics data; correlating the thermal runaway reaction dynamics data with an energy equation and a mass equation of a computational fluid dynamics model; and carrying out coupling solution on the associated energy equation, mass equation and thermal runaway reaction dynamics data so as to realize multi-physical field coupling of the three-dimensional lithium battery energy storage cabin model.
3. 3. The method of modeling smoke propagation in a lithium battery energy storage compartment of claim 1, wherein the real-time operating parameters include at least temperature, smoke concentration, gas composition, and pressure.
4. 4. The method for modeling smoke propagation in a lithium battery energy storage compartment according to claim 1, wherein in the step of correcting the three-dimensional lithium battery energy storage compartment model, a data assimilation algorithm is used to implement model correction, comprising: Extracting deviation data of the real-time operation parameters and the initial simulation result; Inputting the deviation data into a preset data assimilation algorithm to obtain the adjustment values of the heat source intensity and the chemical reaction rate constant in the three-dimensional lithium battery energy storage cabin model, wherein the data assimilation algorithm is an algorithm for obtaining the adjustment values of the parameters of the three-dimensional lithium battery energy storage cabin model based on inversion of the deviation data; and updating corresponding parameters of the three-dimensional lithium battery energy storage cabin model based on the adjustment value to complete model correction.
5. 5. The method for modeling smoke propagation in a lithium battery energy storage compartment according to claim 1, wherein the method for modeling smoke propagation by partitioning the modified three-dimensional lithium battery energy storage compartment model pressing force gradient and adopting calculation rules and grid dimensions with corresponding accuracy for different partitioned areas comprises the following steps: performing global pressure scanning on the corrected three-dimensional lithium battery energy storage cabin model, and dividing a high-risk blocking area and a low-risk blocking area according to the scanned pressure value, wherein the high-risk blocking area is an area with a pressure value larger than a set pressure threshold value, and the low-risk blocking area is an area with a pressure value smaller than or equal to the set pressure threshold value; Configuring a double-precision computing rule and a computing grid of a first size for the high-risk block area, and configuring a single-precision computing rule and a computing grid of a second size for the low-risk block area, wherein the first size is smaller than the second size; disassembling the smoke spreading simulation tasks corresponding to the high-risk block areas and the low-risk block areas into a plurality of independent calculation subtasks; and synchronously running each independent calculation subtask in a parallel calculation mode, and integrating the operation results of all subtasks to obtain the smoke spreading simulation result.
6. 6. The utility model provides a lithium cell energy storage cabin flue gas propagates modeling arrangement which characterized in that includes: the model building module is used for building a three-dimensional lithium battery energy storage cabin model based on computational fluid mechanics and performing simulation operation to obtain an initial simulation result, wherein the three-dimensional lithium battery energy storage cabin model is coupled with a plurality of physical field effects of heat transfer, mass transfer, chemical reaction and battery thermal runaway in the flue gas flowing process; the model correction module is used for acquiring real-time operation parameters in the energy storage cabin, comparing the real-time operation parameters with the initial simulation result, and correcting the three-dimensional lithium battery energy storage cabin model based on deviation data obtained by comparison to obtain a corrected three-dimensional lithium battery energy storage cabin model; the smoke spreading simulation module is used for partitioning the corrected pressing force gradient of the three-dimensional lithium battery energy storage cabin model, and performing smoke spreading simulation on different partitioned areas by adopting calculation rules and grid sizes with corresponding precision to obtain a smoke spreading simulation result.
7. 7. The smoke propagation modeling apparatus of a lithium battery energy storage compartment of claim 6, wherein in the step of constructing a three-dimensional lithium battery energy storage compartment model based on computational fluid dynamics in the model construction module, a multi-physical field coupling process is included, the process comprising: Describing the thermal runaway reaction dynamics of the battery by adopting an Arrhenius formula to obtain thermal runaway reaction dynamics data; correlating the thermal runaway reaction dynamics data with an energy equation and a mass equation of a computational fluid dynamics model; and carrying out coupling solution on the associated energy equation, mass equation and thermal runaway reaction dynamics data so as to realize multi-physical field coupling of the three-dimensional lithium battery energy storage cabin model.
8. 8. The lithium battery energy storage cabin smoke propagation modeling device according to claim 6, wherein in the model correction module, model correction is implemented by adopting a data assimilation algorithm, comprising: Extracting deviation data of the real-time operation parameters and the initial simulation result; Inputting the deviation data into a preset data assimilation algorithm to obtain the adjustment values of the heat source intensity and the chemical reaction rate constant in the three-dimensional lithium battery energy storage cabin model, wherein the data assimilation algorithm is an algorithm for obtaining the adjustment values of the parameters of the three-dimensional lithium battery energy storage cabin model based on inversion of the deviation data; and updating corresponding parameters of the three-dimensional lithium battery energy storage cabin model based on the adjustment value to complete model correction.
9. 9. A computer device, the device comprising a processor and a memory: the memory is used for storing a computer program and sending instructions of the computer program to the processor; The processor executes a lithium battery energy storage cabin smoke propagation modeling method according to instructions of the computer program.
10. 10. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon a computer program, which when executed by a processor, implements a method for modeling smoke propagation in a lithium battery energy storage compartment according to any one of claims 1-5.

Description

Lithium battery energy storage cabin smoke spreading modeling method and related device Technical Field The invention belongs to the technical field of energy storage safety protection, and particularly relates to a lithium battery energy storage cabin smoke spreading modeling method and a related device. Background Along with the continuous development of energy storage technology, the lithium battery energy storage cabin is used as an important energy storage device and is widely applied to the fields of power systems and the like. However, the lithium battery energy storage compartment presents a fire risk during operation, and once a fire occurs, the spread of smoke can present a serious challenge to personnel safety and fire suppression work. The accurate grasp of the smoke spreading rule in the lithium battery energy storage cabin is important for guaranteeing personnel safety, taking effective fire extinguishing measures and optimizing the fire safety design of the energy storage cabin. Therefore, the method has important significance in modeling and researching the smoke spread of the lithium battery energy storage cabin. At present, in the aspect of smoke propagation modeling of an energy storage cabin of a lithium battery, the problem of inaccurate model mainly exists. Some common modeling methods, such as a model built by FDS software, are not accurate enough to couple complex physical processes, and boundary conditions are set to be ideal conditions, so that the deviation from actual scenes is large, and the simulation result is inconsistent with the actual smoke spreading condition. Disclosure of Invention In view of the above, the invention provides a method and a related device for modeling the smoke propagation of a lithium battery energy storage cabin, which aim to solve the problem of inaccurate model in the prior art by constructing a refined physical model and introducing a method for correcting real-time monitoring data, realize accurate simulation and real-time prediction of the smoke propagation of the lithium battery energy storage cabin, and provide reliable basis for fire safety design and emergency decision of the energy storage cabin. In order to achieve the above purpose, the technical scheme provided by the invention is as follows: in a first aspect, the invention provides a method for modeling smoke propagation of a lithium battery energy storage cabin, which comprises the following steps: establishing a three-dimensional lithium battery energy storage cabin model based on computational fluid dynamics and performing simulation operation to obtain an initial simulation result; Acquiring real-time operation parameters in the energy storage cabin, comparing the real-time operation parameters with an initial simulation result, and correcting the three-dimensional lithium battery energy storage cabin model based on deviation data obtained by comparison to obtain a corrected three-dimensional lithium battery energy storage cabin model; And partitioning the corrected pressing force gradient of the three-dimensional lithium battery energy storage cabin model, and performing smoke spreading simulation by adopting calculation rules with corresponding precision and grid dimensions according to different partitioned areas to obtain a smoke spreading simulation result. Further, in the step of establishing the three-dimensional lithium battery energy storage cabin model based on computational fluid mechanics, the method comprises a multi-physical field coupling process, wherein the process comprises the following steps of: Describing the thermal runaway reaction dynamics of the battery by adopting an Arrhenius formula to obtain thermal runaway reaction dynamics data; Correlating the thermal runaway reaction dynamics data with an energy equation and a mass equation of the computational fluid dynamics model; And carrying out coupling solution on the associated energy equation, mass equation and thermal runaway reaction dynamics data so as to realize multi-physical field coupling of the three-dimensional lithium battery energy storage cabin model. Further, the real-time operating parameters include at least temperature, smoke concentration, gas composition, and pressure. Further, in the step of correcting the three-dimensional lithium battery energy storage cabin model, a data assimilation algorithm is adopted to realize model correction, including: Extracting deviation data of real-time operation parameters and an initial simulation result; Inputting the deviation data into a preset data assimilation algorithm to obtain the adjustment values of the heat source intensity and the chemical reaction rate constant in the three-dimensional lithium battery energy storage cabin model, wherein the data assimilation algorithm is an algorithm for obtaining the adjustment values of the parameters of the three-dimensional lithium battery energy storage cabin model based on inversion of the deviation data;