Abbas Fotouhi

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Daniel J. AugerSchool of Aerospace, Transport and Manufacturing, Cranfield UniversityEmail confirmado em cranfield.ac.uk
Stefano LongoUniversity of Bristol, Imperial College London, Cranfield UniversityEmail confirmado em cranfield.ac.uk
Neda ShateriStudent at Cranfield UniversityEmail confirmado em cranfield.ac.uk
Vaclav KnapCzech Technical University in PragueEmail confirmado em cvut.cz
Sylwia WalusSenior Scientist; OXIS EnergyEmail confirmado em oxisenergy.com
Monica MarinescuMechanical Engineering, Imperial CollegeEmail confirmado em imperial.ac.uk
Rajlakshmi PurkayasthaLead Data Scientist at esureEmail confirmado em esure.com
Geraint MintonEatron Technologies LtdEmail confirmado em eatron.com
Daniel StroeBatteries Research Group Leader at AAU-Energy, Aalborg UniversityEmail confirmado em et.aau.dk
Aghil Yousefi-KomaProfessor of Mechanical Eng., University of TehranEmail confirmado em ut.ac.ir
Gregory J OfferProfessor, Imperial College LondonEmail confirmado em imperial.ac.uk
Karthik SomasundaramChemical and Biomolecular Engineering, National University of SingaporeEmail confirmado em nus.edu.sg
Stefan KaskelTU DresdenEmail confirmado em tu-dresden.de
Rasoul RahmaniSwinburne University of TechnologyEmail confirmado em swin.edu.au
rubiyah yusofuniversiti teknologi malaysiaEmail confirmado em ic.utm.my
Prof. Dr. Saad Mekhilef, IEEE FellowDistinguished Professor, Swinburne University of TechnologyEmail confirmado em swin.edu.au
Rhodri OwenUCLEmail confirmado em ucl.ac.uk
Paul ShearingEngineering Science and ZERO Institute, University of Oxford, RAEng Chair in Emerging TechnologiesEmail confirmado em eng.ox.ac.uk
Dan BrettElectrochemical Innovation Lab, UCLEmail confirmado em ucl.ac.uk
Remus TeodorescuProfessor at Aalborg UniversityEmail confirmado em et.aau.dk

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Abbas Fotouhi

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

Email confirmado em cranfield.ac.uk - Página inicial

Battery Electric Vehicle Energy Management Optimization Artificial Intelligence


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
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	813	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	213	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	189	2017
Tehran driving cycle development using the k-means clustering method A Fotouhi, M Montazeri-Gh Scientia Iranica 20 (2), 286-293, 2013	187	2013
Traffic condition recognition using the k-means clustering method M Montazeri-Gh, A Fotouhi Scientia Iranica 18 (4), 930-937, 2011	90	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	85	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	81	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	77	2016
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	76	2021
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	70	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	54	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	54	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	54	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	52	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	51	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
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
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	30	2020
An experimental study on prototype Lithium–Sulfur cells for aging analysis and state-of-health estimation N Shateri, DJ Auger, A Fotouhi, J Brighton IEEE Transactions on Transportation Electrification 7 (3), 1324-1338, 2021	29	2021

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