Centrifugal air compressor is critical to hydrogen fuel cell vehicles due to it guarantees the air provided to the stack is higher pressure ratios and a larger flow rate. However, the compressor has low efficiency and high energy consumption. In this paper, the multi-objective optimization was performed based on experimental data, which considered both the maximum isentropic efficiency and minimum total power consumption. The effects of the factors on the performance of the compressor were obtained by mean S/N ratios. The contributions of the factors to the optimization objectives of the compressor were investigated by analysis of variance. The optimal parameters combination providing the larger isentropic efficiency and lower total power consumption was found by grey relational analysis. The isentropic efficiency increased by 34.5% and total power consumption decreased by 48.5% in comparison with the average value in all Taguchi cases for the optimal compressor.

离心式空气压缩机对于氢燃料电池汽车至关重要，因为它保证提供给电堆的空气具有更高的压力比和更大的流量。但压缩机效率低、能耗高。本文基于实验数据进行多目标优化，同时考虑最大等熵效率和最小总功耗。通过平均信噪比得出各因素对压缩机性能的影响。通过方差分析研究了各因素对压缩机优化目标的贡献。通过灰色关联分析找到了具有较大等熵效率和较低总功耗的最佳参数组合。与所有田口案例的平均值相比，优化压缩机的等熵效率提高了34.5%，总功耗降低了48.5%。