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Mona Faraji Niri
Mona Faraji Niri
Assistant Professor, Warwick Manufacturing Group, University of Warwick
Verified email at warwick.ac.uk
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Cited by
Cited by
Year
Remaining energy estimation for lithium-ion batteries via Gaussian mixture and Markov models for future load prediction
M Faraji Niri, TMN Bui, TQ Dinh, E Hosseinzadeh, TF Yu, J Marco
Journal of Energy Storage 28, 101271, 2020
622020
State of power prediction for lithium-ion batteries in electric vehicles via wavelet-Markov load analysis
MF Niri, TQ Dinh, TF Yu, J Marco, TMN Bui
IEEE Transactions on Intelligent Transportation Systems 22 (9), 5833-5848, 2020
442020
Quantifying key factors for optimised manufacturing of Li-ion battery anode and cathode via artificial intelligence
MF Niri, K Liu, G Apachitei, LAA Román-Ramírez, M Lain, D Widanage, ...
Energy and AI 7, 100129, 2022
422022
Interpretable machine learning for battery capacities prediction and coating parameters analysis
K Liu, MF Niri, G Apachitei, M Lain, D Greenwood, J Marco
Control Engineering Practice 124, 105202, 2022
412022
Machine learning for optimised and clean Li-ion battery manufacturing: Revealing the dependency between electrode and cell characteristics
MF Niri, K Liu, G Apachitei, LR Ramirez, M Lain, D Widanage, J Marco
Journal of Cleaner Production 324, 129272, 2021
342021
Stochastic stability and stabilization of a class of piecewise‐homogeneous Markov jump linear systems with mixed uncertainties
M Faraji‐Niri, MR Jahed‐Motlagh, M Barkhordari‐Yazdi
International Journal of Robust and Nonlinear Control 27 (6), 894-914, 2017
282017
Accelerated state of health estimation of second life lithium-ion batteries via electrochemical impedance spectroscopy tests and machine learning techniques
M Faraji-Niri, M Rashid, J Sansom, M Sheikh, D Widanage, J Marco
Journal of Energy Storage 58, 106295, 2023
252023
Roadmap on Li-ion battery manufacturing research
PS Grant, D Greenwood, K Pardikar, R Smith, T Entwistle, LA Middlemiss, ...
Journal of Physics: Energy 4 (4), 042006, 2022
252022
Systematic analysis of the impact of slurry coating on manufacture of Li-ion battery electrodes via explainable machine learning
MF Niri, C Reynolds, LAAR Ramírez, E Kendrick, J Marco
Energy Storage Materials 51, 223-238, 2022
232022
An Advanced Hardware-in-the-Loop Battery Simulation Platform for the Experimental Testing of Battery Management System
TMN Bui, M Faraji Niri, D Worwood, TQ Dinh, J Marco
2019 23rd International Conference on Mechatronics Technology (ICMT), 1-6, 2019
212019
Understanding the effect of coating-drying operating variables on electrode physical and electrochemical properties of lithium-ion batteries
LA Román-Ramírez, G Apachitei, M Faraji-Niri, M Lain, WD Widanage, ...
Journal of Power Sources 516, 230689, 2021
192021
Stochastic stability and stabilization of Markov jump linear systems with instantly time-varying transition rates: A unified framework
M Faraji-Niri, MR Jahed-Motlagh
ISA transactions 65, 51-61, 2016
182016
Stochastic stability and stabilization of semi-Markov jump linear systems with uncertain transition rates
M Faraji-Niri, MR Jahed-Motlagh
Information Technology and Control 46 (1), 37-52, 2017
122017
Stabilization of active fault‐tolerant control systems by uncertain nonhomogeneous markovian jump models
M Faraji‐Niri, MR Jahed‐Motlagh, M Barkhordari‐Yazdi
Complexity 21 (S1), 318-329, 2016
122016
Effect of coating operating parameters on electrode physical characteristics and final electrochemical performance of lithium-ion batteries
LA Román-Ramírez, G Apachitei, M Faraji-Niri, M Lain, D Widanage, ...
International Journal of Energy and Environmental Engineering 13 (3), 943-953, 2022
112022
Machine Learning in Lithium‐Ion Battery Cell Production: A Comprehensive Mapping Study
S Haghi, MFV Hidalgo, MF Niri, R Daub, J Marco
Batteries & Supercaps, e202300046, 2023
102023
Performance evaluation of convolutional auto encoders for the reconstruction of li-ion battery electrode microstructure
M Faraji Niri, J Mafeni Mase, J Marco
Energies 15 (12), 4489, 2022
102022
The Impact of Calendering Process Variables on the Impedance and Capacity Fade of Lithium‐Ion Cells: An Explainable Machine Learning Approach
M Faraji Niri, G Apachitei, M Lain, M Copley, J Marco
Energy Technology, 2200893, 2022
82022
Data mining for quality prediction of battery in manufacturing process: Cathode coating process
M Faraji Niri, K Liu, G Apachitei, L Roman Ramirez, D Widanage, J Marco
12th International Conference on Applied Energy 11, 2020
82020
Stochastic stabilization of uncertain Markov jump linear systems with time varying transition rates
M Faraji-Niri, MR Jahed-Motlagh, M Barkhordari-Yazdi
2014 22nd Iranian conference on electrical engineering (ICEE), 1186-1191, 2014
82014
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