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Meiling Yue (岳美玲)
Meiling Yue (岳美玲)
Verifierad e-postadress på bjtu.edu.cn - Startsida
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Hydrogen energy systems: A critical review of technologies, applications, trends and challenges
M Yue, H Lambert, E Pahon, R Roche, S Jemei, D Hissel
Renewable and Sustainable Energy Reviews 146, 111180, 2021
16032021
Review on health-conscious energy management strategies for fuel cell hybrid electric vehicles: Degradation models and strategies
M Yue, S Jemei, R Gouriveau, N Zerhouni
International Journal of Hydrogen Energy 44 (13), 6844-6861, 2019
2752019
A data-driven digital-twin prognostics method for proton exchange membrane fuel cell remaining useful life prediction
S Meraghni, LS Terrissa, M Yue, J Ma, S Jemei, N Zerhouni
International journal of hydrogen energy 46 (2), 2555-2564, 2021
1342021
A data-driven method for multi-step-ahead prediction and long-term prognostics of proton exchange membrane fuel cell
K Benaggoune, M Yue, S Jemei, N Zerhouni
Applied Energy 313, 118835, 2022
792022
Proton exchange membrane fuel cell system prognostics and decision-making: Current status and perspectives
M Yue, S Jemei, N Zerhouni, R Gouriveau
Renewable Energy 179, 2277-2294, 2021
742021
Health-conscious energy management for fuel cell hybrid electric vehicles based on prognostics-enabled decision-making
M Yue, S Jemei, N Zerhouni
IEEE Transactions on Vehicular Technology 68 (12), 11483-11491, 2019
582019
An online prognostics-based health management strategy for fuel cell hybrid electric vehicles
M Yue, Z Al Masry, S Jemei, N Zerhouni
International Journal of Hydrogen Energy 46 (24), 13206-13218, 2021
462021
A degradation empirical-model-free battery end-of-life prediction framework based on gaussian process regression and Kalman filter
J Meng, M Yue, D Diallo
IEEE Transactions on Transportation Electrification 9 (4), 4898-4908, 2022
432022
Degradation identification and prognostics of proton exchange membrane fuel cell under dynamic load
M Yue, Z Li, R Roche, S Jemei, N Zerhouni
Control Engineering Practice 118, 104959, 2022
422022
Degradation prognosis for proton exchange membrane fuel cell based on hybrid transfer learning and intercell differences
J Ma, X Liu, X Zou, M Yue, P Shang, L Kang, S Jemei, C Lu, Y Ding, ...
ISA transactions 113, 149-165, 2021
422021
Nonlinear extension of battery constrained predictive charging control with transmission of Jacobian matrix
J Meng, M Yue, D Diallo
International Journal of Electrical Power & Energy Systems 146, 108762, 2023
402023
Early-Stage end-of-Life prediction of lithium-Ion battery using empirical mode decomposition and particle filter
J Meng, T Azib, M Yue
Proceedings of the Institution of Mechanical Engineers, Part A: Journal of …, 2023
262023
Developing a health-conscious energy management strategy based on prognostics for a battery/fuel cell hybrid electric vehicle
M Yue, S Jemei, R Gouriveau, N Zerhouni
2018 IEEE Vehicle Power and Propulsion Conference (VPPC), 1-6, 2018
182018
Implementation of an Early Stage Fuel Cell Degradation Prediction Digital Twin Based on Transfer Learning
M Yue, K Benaggoune, J Meng, D Diallo
IEEE Transactions on Transportation Electrification 9 (2), 3308-3318, 2022
162022
Dynamic coordinated control strategy of power on gear shifting for novel dual motor electric vehicle
Q Xue, X Zhang, T Teng, M Yue
Sustainable Energy Technologies and Assessments 55, 102941, 2023
122023
A feature-based prognostics strategy for PEM fuel cell operated under dynamic conditions
M Yue, Z Li, R Roche, S Jemei, N Zerhouni
2020 Prognostics and Health Management Conference (PHM-Besançon), 122-127, 2020
102020
Recursive performance prediction of automotive fuel cell based on conditional time series forecasting with convolutional neural network
M Yue, X Zhang, T Teng, J Meng, E Pahon
International Journal of Hydrogen Energy 56, 248-258, 2024
92024
Towards the energy management of a fuel cell/battery vehicle considering degradation
M Yue, S Jemei, N Zerhouni, R Gouriveau
2017 IEEE Vehicle Power and Propulsion Conference (VPPC), 1-6, 2017
72017
Battery early end-of-life prediction and its uncertainty assessment with empirical mode decomposition and particle filter
J Meng, M Yue, D Diallo
2022 Prognostics and Health Management Conference (PHM-2022 London), 204-209, 2022
52022
Comparative study of maximum power point tracking control for PV arrays system integration process
J Meng, Q Guo, M Yue, D Diallo
Control Engineering Practice 147, 105906, 2024
42024
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