| A review on electric vehicle battery modelling: From Lithium-ion toward Lithium–Sulphur A Fotouhi, DJ Auger, K Propp, S Longo, M Wild Renewable and Sustainable Energy Reviews 56, 1008-1021, 2016 | 840 | 2016 |
| Electric vehicle energy consumption modelling and estimation—A case study I Miri, A Fotouhi, N Ewin International Journal of Energy Research 45 (1), 501-520, 2021 | 236 | 2021 |
| Lithium-sulfur battery technology readiness and applications—a review A Fotouhi, DJ Auger, L O’Neill, T Cleaver, S Walus Energies 10 (12), 1937, 2017 | 196 | 2017 |
| Tehran driving cycle development using the k-means clustering method A Fotouhi, M Montazeri-Gh Scientia Iranica 20 (2), 286-293, 2013 | 192 | 2013 |
| Traffic condition recognition using the k-means clustering method M Montazeri-Gh, A Fotouhi Scientia Iranica 18 (4), 930-937, 2011 | 94 | 2011 |
| Multi-temperature state-dependent equivalent circuit discharge model for lithium-sulfur batteries K Propp, M Marinescu, DJ Auger, L O'Neill, A Fotouhi, K Somasundaram, ... Journal of Power Sources 328, 289-299, 2016 | 86 | 2016 |
| Lithium–sulfur battery state-of-charge observability analysis and estimation A Fotouhi, DJ Auger, K Propp, S Longo IEEE Transactions on Power Electronics 33 (7), 5847-5859, 2017 | 85 | 2017 |
| Recent progress and emerging application areas for lithium–sulfur battery technology S Dörfler, S Walus, J Locke, A Fotouhi, DJ Auger, N Shateri, T Abendroth, ... Energy Technology 9 (1), 2000694, 2021 | 82 | 2021 |
| Accuracy versus simplicity in online battery model identification A Fotouhi, DJ Auger, K Propp, S Longo IEEE Transactions on Systems, Man, and Cybernetics: Systems 48 (2), 195-206, 2016 | 79 | 2016 |
| Electric vehicle battery parameter identification and SOC observability analysis: NiMH and Li‐S case studies A Fotouhi, DJ Auger, K Propp, S Longo IET power electronics 10 (11), 1289-1297, 2017 | 73 | 2017 |
| Electric vehicle battery model identification and state of charge estimation in real world driving cycles A Fotouhi, K Propp, DJ Auger 2015 7th computer science and electronic engineering conference (CEEC), 243-248, 2015 | 55 | 2015 |
| A review on the applications of driving data and traffic information for vehicles׳ energy conservation A Fotouhi, R Yusof, R Rahmani, S Mekhilef, N Shateri Renewable and Sustainable Energy Reviews 37, 822-833, 2014 | 55 | 2014 |
| Driving patterns clustering based on driving features analysis M Montazeri-Gh, A Fotouhi, A Naderpour Proceedings of the Institution of Mechanical Engineers, Part C: Journal of …, 2011 | 55 | 2011 |
| Improved state of charge estimation for lithium-sulfur batteries K Propp, DJ Auger, A Fotouhi, M Marinescu, V Knap, S Longo Journal of Energy Storage 26, 100943, 2019 | 54 | 2019 |
| Kalman-variant estimators for state of charge in lithium-sulfur batteries K Propp, DJ Auger, A Fotouhi, S Longo, V Knap Journal of Power Sources 343, 254-267, 2017 | 52 | 2017 |
| Lithium–sulfur cell equivalent circuit network model parameterization and sensitivity analysis A Fotouhi, DJ Auger, K Propp, S Longo, R Purkayastha, L O'Neill, S Waluś IEEE Transactions on Vehicular Technology 66 (9), 7711-7721, 2017 | 49 | 2017 |
| Lithium-sulfur cell state of charge estimation using a classification technique N Shateri, Z Shi, DJ Auger, A Fotouhi IEEE Transactions on Vehicular Technology 70 (1), 212-224, 2020 | 37 | 2020 |
| Formula-E race strategy development using artificial neural networks and Monte Carlo tree search X Liu, A Fotouhi Neural Computing and Applications 32 (18), 15191-15207, 2020 | 33 | 2020 |
| Electric vehicle energy consumption estimation for a fleet management system A Fotouhi, N Shateri, D Shona Laila, DJ Auger International Journal of Sustainable Transportation 15 (1), 40-54, 2021 | 31 | 2021 |
| Vehicle's velocity time series prediction using neural network A Fotouhi, M Montazeri, M JANATIPOUR AUTOMOTIVE SCIENCE AND ENGINEERING (INTERNATIONAL JOURNAL OF AUTOMOTIVE …, 2011 | 31 | 2011 |
Daniel J. AugerSchool of Aerospace, Transport and Manufacturing, Cranfield University在 cranfield.ac.uk 的电子邮件经过验证
