极限学习机及其在质子交换膜燃料电池参数辨识中的应用
杨博, 曾春源, 陈义军, 束洪春, 曹璞璘

Extreme Learning Machine and Its Application in Parameter Identification of Proton Exchange Membrane Fuel Cell
YANG Bo, ZENG Chunyuan, CHEN Yijun, SHU Hongchun, CAO Pulin
表3 高温、高相对湿度下的参数辨识结果
Tab.3 Parameter identification results obtained at a high temperature and high relative humidity
算法 ε1 ε2 ε3 ε4 λ Rc b/V RMSE/V
ALO N -0.8531 0.0028 5.4224×10-5 -1.9381×10-4 17.1927 1.6728×10-4 0.0136 1.4200×10-3
B -0.9590 0.0030 4.6983×10-5 -1.9038×10-4 15.0582 1.0000×10-4 0.0136 1.2983×10-3
E -0.8531 0.0027 4.5276×10-5 -1.9218×10-4 18.1940 4.4457×10-4 0.0136 1.0970×10-3
DA N -0.9377 0.0029 4.2164×10-5 -1.9321×10-4 18.9210 4.1854×10-4 0.0136 1.1348×10-3
B -1.1997 0.0040 6.2009×10-5 -1.9179×10-4 18.2714 3.5924×10-4 0.0136 8.6808×10-4
E -0.8531 0.0028 5.2448×10-5 -1.9155×10-4 20.7451 8.0000×10-4 0.0136 7.9570×10-4
EO N -0.9304 0.0032 6.7696×10-5 -1.9272×10-4 19.8194 1.6251×10-4 0.0136 7.9879×10-4
B -0.8564 0.0032 8.3113×10-5 -1.9239×10-4 22.0052 1.0000×10-4 0.0136 6.8046×10-4
E -1.1996 0.0040 6.3959×10-5 -1.9278×10-4 22.9997 2.3671×10-4 0.0136 6.8623×10-4
GA N -1.0365 0.0035 6.5236×10-5 -1.9455×10-4 22.8470 1.2145×10-4 0.0137 1.1852×10-3
B -1.0737 0.0033 4.0511×10-5 -1.9059×10-4 22.8380 1.1889×10-4 0.0141 1.1625×10-3
E -1.1406 0.0043 9.2910×10-5 -1.9165×10-4 22.7392 7.9682×10-4 0.0136 6.6562×10-4
GWO N -1.1997 0.0043 8.1015×10-5 -1.9245×10-4 22.3827 2.3883×10-4 0.0136 6.6925×10-4
B -0.8894 0.0027 4.1693×10-5 -1.9289×10-4 21.8924 4.9842×10-4 0.0136 6.9529×10-4
E -1.1327 0.0035 4.4503×10-5 -1.9136×10-4 19.5772 1.9583×10-4 0.0137 6.3941×10-4
WOA N -1.1493 0.0038 5.9464×10-5 -1.8838×10-4 17.7311 1.0096×10-4 0.0151 1.7329×10-3
B -0.8531 0.0026 3.8977×10-5 -1.9118×10-4 13.0255 1.0991×10-4 0.0136 1.9095×10-3
E -1.1540 0.0041 7.6040×10-5 -1.9381×10-4 18.6908 1.0000×10-4 0.0136 1.2166×10-3
LMBP N -0.97694 0.0033 5.9833×10-5 -1.9507×10-4 21.1973 1.0000×10-4 0.0136 1.5649×10-3
B -1.1155 0.0036 5.6620×10-5 -1.9381×10-4 22.3659 1.0000×10-4 0.0136 8.8141×10-4
E -1.1823 0.0036 3.8790×10-5 -1.9396×10-4 23.0000 1.0000×10-4 0.0136 8.6141×10-4