Altair > 实例探究 > 福特电池集团采用 RADIOSS Cut 方法来增强仿真性能

福特电池集团采用 RADIOSS Cut 方法来增强仿真性能

技术

其他 - 电池
机器人 - 自动导引车 (AGV)

适用行业

汽车
包装

适用功能

采购
产品研发

用例

交通模拟
车辆性能监测

关于客户

本案例研究的客户是福特的电池核心团队。该团队与车辆开发团队合作，负责创建电池阵列的详细 CAE 模型。这些模型包括设计中考虑的每个电池和各种封装配置。该团队的目标是使用 CAE 仿真来预测电池结构的稳健性。然而，在将数据传递给整车团队时，他们还需要简化这些模型，这是一个重大挑战。

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挑战

福特的电池核心团队在与车辆开发协同工作时面临着挑战。汽车电气化工程团队需要一个非常详细的电池阵列 CAE 模型，包括设计中考虑的每个电池和各种封装配置。这个详细的模型对于使用 CAE 模拟预测电池结构的鲁棒性是必要的。然而，当数据传递给整车团队时，详细的模型可能会增长到数百万个元素，需要大大简化。详细的电池模型与整车模型的复杂性相结合，显着减慢了周期时间，并阻碍了两个团队进行优化和设计探索的能力。

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解决方案

为了解决相互冲突的要求，福特的电池核心小组在 RADIOSS 中采用了切割方法（子建模选项）。在选择包含并包围电池结构的区域作为子模型后，他们进行了整车模拟。该区域还包含完整车辆模型的通用接口。使用电池的通用简化表示来模拟整车分析，这提供了快速的周转时间。将位移和力历史施加到子模型边界上，然后在先前选择的公共接口处提取历史数据。随后对更详细的电池模型的分析使用接口文件作为子模型分析产生的输入。

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运营影响

The adoption of the RADIOSS cut methodology by Ford's battery core team resulted in several operational benefits. The team was able to create detailed CAE models of battery arrays that could be simplified for use by full vehicle teams, resolving the conflicting requirements of the two teams. This approach also allowed for a quick turnaround time, enabling the team to run optimization and design exploration more efficiently. Furthermore, the use of a common interface facilitated the sharing of data between different departments, improving collaboration and efficiency. Finally, the detailed modelling improved the accuracy of the simulations, leading to better design and performance of the battery modules and components.

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数量效益

50% reduction in modelling efforts.
Performance benefit by having suitable models for different purposes.
Sharing of light interface data between the battery zone and vehicle across different departments.

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