Abbas Fotouhi

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Daniel J. AugerSchool of Aerospace, Transport and Manufacturing, Cranfield UniversityVerified email at cranfield.ac.uk
Stefano LongoUniversity of Bristol, Imperial College London, Cranfield UniversityVerified email at cranfield.ac.uk
Neda ShateriStudent at Cranfield UniversityVerified email at cranfield.ac.uk
Vaclav KnapCzech Technical University in PragueVerified email at cvut.cz
Sylwia WalusSenior Scientist; OXIS EnergyVerified email at oxisenergy.com
Monica MarinescuMechanical Engineering, Imperial CollegeVerified email at imperial.ac.uk
Rajlakshmi PurkayasthaLead Data Scientist at esureVerified email at esure.com
Geraint MintonEatron Technologies LtdVerified email at eatron.com
Daniel StroeBatteries Research Group Leader at AAU-Energy, Aalborg UniversityVerified email at et.aau.dk
Aghil Yousefi-KomaProfessor of Mechanical Eng., University of TehranVerified email at ut.ac.ir
Gregory J OfferProfessor, Imperial College LondonVerified email at imperial.ac.uk
Karthik SomasundaramChemical and Biomolecular Engineering, National University of SingaporeVerified email at nus.edu.sg
Stefan KaskelTU DresdenVerified email at tu-dresden.de
Rasoul RahmaniSwinburne University of TechnologyVerified email at swin.edu.au
rubiyah yusofuniversiti teknologi malaysiaVerified email at ic.utm.my
Prof. Dr. Saad Mekhilef, IEEE FellowDistinguished Professor, Swinburne University of TechnologyVerified email at swin.edu.au
Rhodri OwenUCLVerified email at ucl.ac.uk
Paul ShearingEngineering Science and ZERO Institute, University of Oxford, RAEng Chair in Emerging TechnologiesVerified email at eng.ox.ac.uk
Dan BrettElectrochemical Innovation Lab, UCLVerified email at ucl.ac.uk
Remus TeodorescuProfessor at Aalborg UniversityVerified email at et.aau.dk

Abbas Fotouhi

Senior Lecturer (Associate Professor) in Vehicle Engineering and Transport Systems, Cranfield

Verified email at cranfield.ac.uk - Homepage

Battery Electric Vehicle Energy Management Optimization Artificial Intelligence


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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	768	2016
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	178	2017
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	175	2021
Tehran driving cycle development using the k-means clustering method A Fotouhi, M Montazeri-Gh Scientia Iranica 20 (2), 286-293, 2013	174	2013
Traffic condition recognition using the k-means clustering method M Montazeri-Gh, A Fotouhi Scientia Iranica 18 (4), 930-937, 2011	86	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	80	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	78	2017
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	71	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	67	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	65	2021
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	53	2011
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	52	2014
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	51	2015
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	49	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	45	2017
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	44	2019
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	30	2020
Vehicle’s velocity time series prediction using neural network A Fotouhi, M Montazeri, M Jannatipour International Journal of Automotive Engineering 1 (1), 21-28, 2011	30	2011
Formula-E race strategy development using artificial neural networks and Monte Carlo tree search X Liu, A Fotouhi Neural Computing and Applications 32, 15191-15207, 2020	27	2020
Optimal energy management for formula-E cars with regulatory limits and thermal constraints X Liu, A Fotouhi, DJ Auger Applied Energy 279, 115805, 2020	25	2020

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