Contact Dr Neda Shateri
- Tel: +44 (0) 1234 758147
- Email: Neda.Shateri@cranfield.ac.uk
Background
Neda Shateri is a Research Fellow at Cranfield University, working on battery systems testing, modelling, and state estimation. She received her PhD degree from Cranfield University in 2022. Her PhD research was focused on degradation modelling and state estimation of Lithium-Sulfur batteries in real-world applications. She is currently working on LiSTAR project funded by the Faraday Institution.
Research opportunities
Lithium-Sulfur Battery; State Estimation; Battery Modelling
Publications
Articles In Journals
- Rodriguez VM, Shateri N, Fotouhi A, Propp K & Auger DJ. (2024). Deterministic observability calculations for zero-dimensional models of lithium–sulfur batteries. Journal of Energy Storage, 87
- Valencia N, Fotouhi A, Shateri N & Auger DJ. (2022). Development of a hybrid adaptive neuro-fuzzy inference system with coulomb-counting state-of-charge estimator for lithium–sulphur battery. International Journal of Fuzzy Systems, 25(2)
- Shateri N, Auger DJ, Fotouhi A & Brighton J. (2022). Charging characterization of a high‐capacity lithium‐sulfur pouch cell for state estimation–an experimental approach. Energy Storage, 5(3)
- Shateri N, Auger DJ, Fotouhi A, Brighton J, Du W, .... (2022). Investigation of the effect of temperature on lithium-sulfur cell cycle life performance using system identification and x-ray tomography. Batteries & Supercaps, 5(8)
- Shateri N, Auger DJ, Fotouhi A, Brighton J, Du W, .... (2022). Cover Feature: Investigation of the Effect of Temperature on Lithium‐Sulfur Cell Cycle Life Performance Using System Identification and X‐Ray Tomography (Batteries & Supercaps 8/2022). Batteries & Supercaps, 5(8)
- Shateri N, Auger DJ, Fotouhi A & Brighton J. (2021). An experimental study on prototype lithium-sulfur cells for ageing analysis and state-of-health estimation. IEEE Transactions on Transportation Electrification, 7(3)
- Mao L, Fotouhi A, Shateri N & Ewin N. (2021). A multi-mode electric vehicle range estimator based on driving pattern recognition. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 236(6)
- Shateri N, Shi Z, Auger DJ & Fotouhi A. (2020). Lithium-sulfur cell state of charge estimation using a classification technique. IEEE Transactions on Vehicular Technology, 70(1)
- Dörfler S, Walus S, Locke J, Fotouhi A, Auger DJ, .... (2020). Recent progress and emerging application areas for lithium-sulfur battery technology. Energy Technology, 9(1)
- Fotouhi A, Shateri N, Laila DS & Auger DJ. (2019). Electric vehicle energy consumption estimation for a fleet management system. International Journal of Sustainable Transportation, 15(1)
- Fotouhi A, Yusof R, Rahmani R, Mekhilef S & Shateri N. (2014). A review on the applications of driving data and traffic information for vehicles׳ energy conservation. Renewable and Sustainable Energy Reviews, 37
Conference Papers
- Fotouhi A, Auger DJ, Propp K & Longo S. (2016). Influence of battery capacity on performance of an electric vehicle fleet
- Fotouhi A, Shateri N, Auger DJ, Longo S, Propp K, .... (2016). A MATLAB graphical user interface for battery design and simulation; from cell test data to real-world automotive simulation