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Multi-objective optimization of a novel finned liquid-cooled plate for lithium-ion batteries based on a hybrid surrogate model and NSGA-II algorithm

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NIAID Data Ecosystem2026-05-10 收录
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https://data.mendeley.com/datasets/3x286h387g
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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
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