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
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杨博, 曾春源, 陈义军, 束洪春, 曹璞璘
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Extreme Learning Machine and Its Application in Parameter Identification of Proton Exchange Membrane Fuel Cell
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YANG Bo, ZENG Chunyuan, CHEN Yijun, SHU Hongchun, CAO Pulin
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表2 低温低相对湿度下的参数辨识结果
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Tab.2 Parameter identification results obtained at a low temperature and low relative humidity
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| 算法 | 符号 | ε1 | ε2 | ε3 | ε4 | λ | Rc/Ω | b/V | RMSE/V | | ALO | N | -1.1997 | 0.0038 | 4.7755×10-5 | -1.9539×10-4 | 22.7213 | 8.0000×10-4 | 0.0136 | 1.4918×10-3 | | B | -0.8531 | 0.0027 | 4.6077×10-5 | -1.9240×10-4 | 17.2486 | 3.0088×10-4 | 0.0148 | 1.1955×10-3 | | E | -1.0622 | 0.0039 | 8.3563×10-5 | -1.9076×10-4 | 19.5346 | 2.1396×10-4 | 0.0162 | 1.1631×10-3 | | DA | N | -1.1997 | 0.0038 | 4.4140×10-5 | -1.9063×10-4 | 14.1016 | 4.8523×10-4 | 0.0157 | 1.3099×10-3 | | B | -0.9920 | 0.0031 | 4.4408×10-5 | -1.9707×10-4 | 15.4621 | 3.3040×10-4 | 0.0136 | 1.3915×10-3 | | E | -0.8531 | 0.0030 | 7.0217×10-5 | -1.9588×10-4 | 14.1585 | 5.2635×10-4 | 0.0136 | 1.2992×10-3 | | EO | N | -0.8828 | 0.0033 | 8.8483×10-5 | -1.8694×10-4 | 20.2055 | 5.1412×10-4 | 0.0180 | 1.7501×10-3 | | B | -1.1997 | 0.0041 | 6.8525×10-5 | -1.8486×10-4 | 22.2448 | 8.0000×10-4 | 0.0181 | 2.0123×10-3 | | E | -0.9576 | 0.0032 | 5.9925×10-5 | -1.9073×10-4 | 17.4769 | 1.1767×10-4 | 0.0152 | 8.2907×10-4 | | GA | N | -0.8952 | 0.0033 | 8.1726×10-5 | -1.9717×10-4 | 17.9935 | 1.0162×10-4 | 0.0150 | 1.4024×10-3 | | B | -1.0374 | 0.0032 | 3.9417×10-5 | -1.9576×10-4 | 22.9887 | 1.0260×10-4 | 0.0143 | 1.7726×10-3 | | E | -0.8727 | 0.0034 | 9.4426×10-5 | -1.9046×10-4 | 20.1161 | 2.1615×10-4 | 0.0174 | 1.1935×10-3 | | GWO | N | -0.8558 | 0.0026 | 4.1166×10-5 | -1.8835×10-4 | 22.5918 | 6.0519×10-4 | 0.0180 | 1.6007×10-3 | | B | -1.0634 | 0.0040 | 9.4119×10-5 | -1.8632×10-4 | 20.0275 | 6.5140×10-4 | 0.0173 | 1.5371×10-3 | | E | -1.1301 | 0.0041 | 8.3065×10-5 | -1.8739×10-4 | 14.2505 | 1.9414×10-4 | 0.0157 | 1.2038×10-3 | | WOA | N | -0.8535 | 0.0026 | 4.3311×10-5 | -1.9027×10-4 | 13.3911 | 1.0890×10-4 | 0.0180 | 3.2404×10-3 | | B | -1.0351 | 0.0037 | 7.8048×10-5 | -1.8972×10-4 | 14.7768 | 1.0000×10-4 | 0.0136 | 1.5500×10-3 | | E | -1.1995 | 0.0041 | 6.3044×10-5 | -1.9065×10-4 | 16.7606 | 4.0499×10-4 | 0.0143 | 1.1961×10-3 | | LMBP | N | -1.0282 | 0.0031 | 3.7294×10-5 | -1.8648×10-4 | 20.7773 | 1.0000×10-4 | 0.0193 | 2.5661×10-3 | | B | -1.1028 | 0.0039 | 7.5117×10-5 | -1.8040×10-4 | 10.2563 | 8.0000×10-4 | 0.0136 | 2.8427×10-3 | | E | -1.0619 | 0.0036 | 6.3838×10-5 | -1.8326×10-4 | 19.4747 | 8.0000×10-4 | 0.0188 | 2.4426×10-3 |
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