| 1 |
Degradation prediction of PEM fuel cell based on artificial intelligence
Vichard L, Harel F, Ravey A, Venet P, Hissel D
International Journal of Hydrogen Energy, 45(29), 14953, 2020 |
| 2 |
Development of a degradation-conscious physics-based lithium-ion battery model for use in power system planning studies
Li Y, Vilathgamuwa M, Choi SS, Farrell TW, Tran NT, Teague J
Applied Energy, 248, 512, 2019 |
| 3 |
Physics-based control-oriented reduced-order degradation model for LiNiMnCoO2 - graphite cell
Jin X, Liu C
Electrochimica Acta, 312, 188, 2019 |
| 4 |
Degradation model and cycle life prediction for lithium-ion battery used in hybrid energy storage system
Liu C, Wang YJ, Chen ZH
Energy, 166, 796, 2019 |
| 5 |
Impact of aging and performance degradation on the operational costs of distributed generation systems
Mo HD, Sansavini G
Renewable Energy, 143, 426, 2019 |
| 6 |
A performance degradation model of solar cells in an on-orbit resource satellite based on peak currents
Cao MD, Zhang T, Liu YJ, Yu WY, Ming MJ
Solar Energy, 189, 26, 2019 |
| 7 |
Model-based performance diagnostics of heavy-duty gas turbines using compressor map adaptation
Kang DW, Kim TS
Applied Energy, 212, 1345, 2018 |
| 8 |
Data-driven proton exchange membrane fuel cell degradation predication through deep learning method
Ma R, Yang T, Breaz E, Li ZL, Briois P, Gao F
Applied Energy, 231, 102, 2018 |
| 9 |
Load profile based empirical model for the lifetime prediction of an automotive PEM fuel cell
Zhang XF, Yang DJ, Luo MH, Dong ZM
International Journal of Hydrogen Energy, 42(16), 11868, 2017 |
| 10 |
A novel health indicator for PEMFC state of health estimation and remaining useful life prediction
Chen JY, Zhou D, Lyu C, Lu C
International Journal of Hydrogen Energy, 42(31), 20230, 2017 |
