Research Output per year
Personal profile
Biography
Dr Arash M. Dizqah is currently a senior lecturer in Intelligent Transport Systems at the School of Mechanical, Aerospace and Automotive Engineering, which he joined after about 2 years of experience as a post-doctoral research fellow with University of Surrey. He is also a member of the Centre for Mobility and Transport (CMTR) at Coventry University.
He received BSc and MSc degrees in electrical engineering from Sharif and KN Toosi Universities of Technology, Tehran, Iran, in 1998 and 2001, respectively, and a Ph.D. degree from Northumbria University, U.K., in 2014. Before starting his PhD, he used to work as an embedded systems (software and hardware) developer and architect for about 10 years.
His research interests lie in control and optimisation with applications in transportation and renewable energy systems. He is particularly interested in real-time implementation and experimental testing of nonlinear optimisation-based controllers for the applications like electric/hybrid vehicles and wind turbines. The optimisation-based strategies, such as model predictive controllers, handle nonlinearities, uncertainties and constraints in a systematic fashion.
Arash is a founding member of the Smart Vehicles Control Laboratory (SVeCLab), within CMTR, focusing on model-based optimal design and energy management of hybrid electric/electric vehicles and advanced control strategies for connected autonomous vehicles.
He is a member of institute of electrical and electronics engineering (IEEE) and institution of engineering and technologies (IET).
His Google Scholar is available here
Area of Expertise:
- Non-Linear Model Predictive Controllers (NMPC)
- Control Allocation for Over-Actuated Systems
- Non-Linear Optimisation – Theories, algorithms and applications
- Multi-parametric Non-Linear Optimisation (mp-NLP)
- Mathematical Modelling of Hybrid Dynamical Systems
- Modelling and Simulation of Multi-Disciplinary Systems using Modelica
- Intelligent Energy Management Systems for Hybrid Renewable Energy Systems
- Embedded Software Development
Research Interests
Autonomous Vehicles; Optimisation and Control; Electric and Hybrid Autonomous Vehicles; Renewable Energy Technologies and Control; Vehicle-To-Grid (V2G) Control Strategies (Smart Grids); Energy-Efficient Control Allocation Strategies for Over-Actuated Nonlinear Systems
Education/Academic qualification
Control Engineering, Doctorate, Northumbria University
18 Feb 2011 → 1 Feb 2014
Electrical Engineering, MSc, K.N.Toosi University of Technology
1 Sep 1998 → 1 Mar 2001
Electrical Engineering, MEng, Sharif University of Technology
1 Sep 1994 → 1 Sep 1998
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Research Output
Optimal design of a quadratic parameter varying vehicle suspension system using contrast-based Fruit Fly Optimisation
Kanarachos, S., Dizqah, A. M., Chrysakis, G. & Fitzpatrick, M. E., 1 Jan 2018, In : Applied Soft Computing. 62, p. 463-477 15 p.Research output: Contribution to journal › Article
Open Access
File
16
Citations
(Scopus)
92
Downloads
(Pure)
Fast Energy-Efficient Torque Distribution Amongst Multiple Drivetrains
Dizqah, A. M., Blundell, M., Vantsevich, V., Kanarachos, S. & Ballard, B., 25 Sep 2017, Proceedings of the 19th International & 14th European-African Regional Conference of the ISTVS. Budapest, Hungary: International Society for Terrain-Vehicle Systems, p. (in press) 9 p.Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding
Torque Distribution Strategies for Energy-Efficient Electric Vehicles with Multiple Drivetrains
Lenzo, B., De Filippis, G., Moradinegade Dizqah, A., Sorniotti, P., Gruber, P., Fallah, S. & De Nijs, W., 9 Aug 2017, In : Journal of Dynamic Systems, Measurement and Control. 139, 12, 13 p., 121004.Research output: Contribution to journal › Article
Open Access
File
A Fast and Parametric Torque Distribution Strategy for Four-Wheel-Drive Energy-Efficient Electric Vehicles
Moradinegade Dizqah, A., Lenzo, B., Sorniotti, A., Gruber, P., Fallah, S. & De Smet, J., Jul 2016, In : IEEE Transactions on Industrial Electronics. 63, 7, p. 4367 - 4376 10 p.Research output: Contribution to journal › Article
Open Access
File
Multi-objective design under uncertainties of hybrid renewable energy system using NSGA-II and chance constrained programming
Kanjoo, A., Maheri, A., Moradinegade Dizqah, A. & Putris, G. A., Jan 2016, In : International Journal of Electrical Power & Energy Systems. 74, p. 187-194Research output: Contribution to journal › Article
Open Access
File