One of the remaining bottlenecks of PEM fuel cell vehicle commercialization as a probable alternative to conventional vehicles is the performance degradation during dynamic loads. Herein, an innovative coupling is presented between a three-dimensional, multiphase computational fluid dynamic simulation with eight conservation equations and a novel degradation model to predict the performance loss of PEM fuel cell under vehicular load cycling. Moreover, a multi-objective optimization problem with four different scenarios is also planned for the first time as the other novelty, to minimize the cell power density loss as well as maximize the initial cell power density, in order to find the optimum value of some operating and structural parameters. The model predicts the power density degradation rate of about 0.001627 kW cycle⁻¹ (equivalent to 4.067 kW m⁻² loss after 2500 cycles) which is in good agreement with experimental data. The results reveal that the operating temperature is the most influential parameter with rank 1 for the cost functions. The optimization results also show a considerable enhancement of about 36.9% in the final power density after load cycling compared to the base case conditions by fine-tuning five operating and structural parameters.

作为传统车辆的可能替代品，PEM燃料电池车辆商品化的剩余瓶颈之一是动态负载期间的性能下降。本文中，在具有八个守恒方程的三维多相计算流体动力学模拟与新型退化模型之间提出了创新的耦合，以预测PEM燃料电池在车辆负载循环下的性能损失。此外，作为另一个新颖性，还首次计划了具有四个不同方案的多目标优化问题，以最大程度地降低电池单元功率密度损失并最大化初始电池单元功率密度，从而找到某些最优值。操作和结构参数。该模型预测功率密度的退化率约为0.001627 kW循环^-1（相当于2500个循环后的4.067 kW m ^-2损耗）与实验数据非常吻合。结果表明，对于成本函数，工作温度是影响最大的参数，排名为1。通过优化五个操作和结构参数，优化结果还显示，与基本情况相比，负载循环后最终功率密度显着提高了约36.9％。