Multi-objective optimization of a novel finned liquid-cooled plate for lithium-ion batteries based on a hybrid surrogate model and NSGA-II algorithm
收藏NIAID Data Ecosystem2026-05-10 收录
下载链接:
https://data.mendeley.com/datasets/3x286h387g
下载链接
链接失效反馈官方服务:
资源简介:
Modeling parameters: A detailed table listing all the geometric dimensions and material properties used in the simulation.
Battery UDF (User Defined Function): The complete source code of the battery heating model implemented in ANSYS Fluent based on the Bernadini equation.
ANSYS input settings: Covering solver model, discretization scheme, boundary conditions, and the definition of material properties used in the CFD simulation.
MATLAB script: The code used to build the hybrid alternative model and execute the NSGA-II multi-objective optimization.
建模参数:涵盖仿真中使用的全部几何尺寸与材料属性的详细表格。
电池自定义函数(User Defined Function, UDF):基于Bernadini方程,在ANSYS Fluent中实现的电池加热模型完整源代码。
ANSYS输入设置:涵盖计算流体动力学(Computational Fluid Dynamics, CFD)仿真所用的求解器模型、离散格式、边界条件及材料属性定义。
MATLAB脚本:用于构建混合替代模型并执行NSGA-II多目标优化的代码。
创建时间:
2025-12-30



