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 | 335 | 2013 |
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 | 230 | 2011 |
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 | 219 | 2013 |
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 | 157 | 2020 |
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 | 141 | 2011 |
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 | 111 | 2004 |
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 | 105 | 2008 |
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 | 95 | 2013 |
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 | 83 | 2012 |
Optimal design and dynamic simulation of a hybrid solar vehicle I Arsie, G Rizzo, M Sorrentino SAE Transactions, 805-811, 2006 | 76 | 2006 |
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 | 72 | 2015 |
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 | 66 | 2019 |
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 | 61 | 2006 |
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 | 57 | 2011 |
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 | 56 | 2015 |
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 | 55 | 2014 |
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 | 52 | 2013 |
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 | 50 | 2017 |
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 | 49 | 2021 |
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 | 49 | 2017 |