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2 个月
用于预测电动汽车电池热失控和安全故障的多物理数字孪生模型
该研究构建了一个多物理场数字孪生框架,整合电化学、热力学和结构力学模型,用于实时预测电动汽车电池的热失控和机械失效。通过COMSOL、MATLAB和Python实现协同仿真与可视化,验证了97.4%的分类准确率、±6秒的时间误差和142MPa的应力峰值,展示了高精度、低 ...
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