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Maher Al-Greer

Maher Al-Greer Received the Ph.D. degree in Electrical and Electronic Engineering from Newcastle University, Newcastle upon Tyne, U.K, in 2012. He has developed a novel adaptive filter algorithm for parameters estimation and adaptive control of DC-DC Power Converters. Maher was a Postdoctoral Research Associate at Newcastle University worked on Town & Country Hybrid Powertrain (TC48) Innovate UK project. He is currently a Senior Lecturer in Electrical Engineering in Teesside University, U.K. His main research interests include signal processing techniques for power electronic systems, Condition Monitoring and Control of Batteries, Smart grids & Micro-grid, Control & Optimizations, system identification and real time parameter estimation. Currently he is an Editor of MDPI Energies, Associated Editor of IET Power Electronics, Guest member of staff in school of engineering in Newcastle University, Co-lead of smart energy and smart grid research group at TU, Fellow of the Higher Education Academy, U.K.

Signal Processing Techniques in Condition Monitoring and Control of Power Electronics Converters and Battery System (2020)

Status: Available Now

There are several fundamental challenges in condition monitoring, fault detection, and control of power electronics converters and Li-Ion batteries. These are linked to the computation complexity of the signal processing algorithms, suitability for on-line and real-time implementation, cost of implementation, ability to deal with rapid real-time changes, etc.

Advanced signal processing algorithms have been found to provide superior condition monitoring, system identification, and state estimation solutions to tackle the aforementioned issues with fast dynamic performance, cost-effective solution, high accuracy prediction, good tracking ability to system changes.     

This talk offers basic theory and some recent advances of innovative signal processing algorithms for condition monitoring and control of power converters and batteries. The talk covers different system identification and parameter estimation of power converters, adaptive signal processing algorithms for on-line modelling and estimation of power converters, parametric/ non-parametric system identification, remaining useful prediction, and sate of health estimation of Lithium-Ion batteries. This talk is intended for researchers and engineers in the area of signal processing and artificial intelligence to explore new applications of signal processing algorithms in power electronics applications and battery management systems, and for postgraduate students in these fields.

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Live Q&A Discussion - Signal Processing Techniques in Condition Monitoring and Control of Power Electronics Converters and Battery System (2020)

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Live Q&A Discussion with Maher Al-Greer following his talk 'Signal Processing Techniques in Condition Monitoring and Control of Power Electronics Converters and Battery System'

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