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Marco Sorrentino
Marco Sorrentino
Associate Professor of Energy Conversion systems, University of Salerno, Italy
在 unisa.it 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
A review on model-based diagnosis methodologies for PEMFCs
R Petrone, Z Zheng, D Hissel, MC Péra, C Pianese, M Sorrentino, ...
International Journal of Hydrogen Energy 38 (17), 7077-7091, 2013
3352013
A review on solid oxide fuel cell models
K Wang, D Hissel, MC Péra, N Steiner, D Marra, M Sorrentino, C Pianese, ...
International journal of hydrogen energy 36 (12), 7212-7228, 2011
2302011
A review on non-model based diagnosis methodologies for PEM fuel cell stacks and systems
Z Zheng, R Petrone, MC Péra, D Hissel, M Becherif, C Pianese, ...
International Journal of Hydrogen Energy 38 (21), 8914-8926, 2013
2192013
Pontryagin’s minimum principle-based real-time energy management strategy for fuel cell hybrid electric vehicle considering both fuel economy and power source durability
K Song, X Wang, F Li, M Sorrentino, B Zheng
Energy 205, 118064, 2020
1572020
Analysis of a rule-based control strategy for on-board energy management of series hybrid vehicles
M Sorrentino, G Rizzo, I Arsie
Control Engineering Practice 19 (12), 1433-1441, 2011
1412011
Optimization of supervisory control strategy for parallel hybrid vehicle with provisional load estimate
I Arsie, M Graziosi, C Pianese, G Rizzo, M Sorrentino
Proceedings of the 7th advanced vehicle control conference, 2004
1112004
A hierarchical modeling approach to the simulation and control of planar solid oxide fuel cells
M Sorrentino, C Pianese, YG Guezennec
Journal of Power Sources 180 (1), 380-392, 2008
1052008
A neural network estimator of Solid Oxide Fuel Cell performance for on-field diagnostics and prognostics applications
D Marra, M Sorrentino, C Pianese, B Iwanschitz
Journal of Power Sources 241, 320-329, 2013
952013
Application of fault tree analysis to fuel cell diagnosis
N Yousfi Steiner, D Hissel, P Mocoteguy, D Candusso, D Marra, ...
Fuel cells 12 (2), 302-309, 2012
832012
Optimal design and dynamic simulation of a hybrid solar vehicle
I Arsie, G Rizzo, M Sorrentino
SAE Transactions, 805-811, 2006
762006
Model-based development of a fault signature matrix to improve solid oxide fuel cell systems on-site diagnosis
P Polverino, C Pianese, M Sorrentino, D Marra
Journal of Power Sources 280, 320-338, 2015
722015
Development of flexible procedures for co-optimizing design and control of fuel cell hybrid vehicles
M Sorrentino, V Cirillo, L Nappi
Energy Conversion and Management 185, 537-551, 2019
662019
A procedure to enhance identification of recurrent neural networks for simulating air–fuel ratio dynamics in SI engines
I Arsie, C Pianese, M Sorrentino
Engineering Applications of Artificial Intelligence 19 (1), 65-77, 2006
612006
Model-based development of low-level control strategies for transient operation of solid oxide fuel cell systems
M Sorrentino, C Pianese
Journal of Power Sources 196 (21), 9036-9045, 2011
572011
Application of Willans line method for internal combustion engines scalability towards the design and optimization of eco-innovation solutions
M Sorrentino, F Mauramati, I Arsie, A Cricchio, C Pianese, W Nesci
SAE Technical Paper, 2015
562015
A study aimed at assessing the potential impact of vehicle electrification on grid infrastructure and road-traffic green house emissions
M Sorrentino, G Rizzo, L Sorrentino
Applied Energy 120, 31-40, 2014
552014
An integrated mathematical tool aimed at developing highly performing and cost-effective fuel cell hybrid vehicles
M Sorrentino, C Pianese, M Maiorino
Journal of Power Sources 221, 308-317, 2013
522013
A model-based diagnostic technique to enhance faults isolability in Solid Oxide Fuel Cell systems
P Polverino, M Sorrentino, C Pianese
Applied energy 204, 1198-1214, 2017
502017
On the use of dynamic programming for optimal energy management of grid-connected reversible solid oxide cell-based renewable microgrids
F Vitale, N Rispoli, M Sorrentino, MA Rosen, C Pianese
Energy 225, 120304, 2021
492021
Neural network models for virtual sensing of NOx emissions in automotive diesel engines with least square-based adaptation
I Arsie, A Cricchio, M De Cesare, F Lazzarini, C Pianese, M Sorrentino
Control Engineering Practice 61, 11-20, 2017
492017
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