About SVeCLab

Located in the Design Hub, room DCG.1C, within the Technology Park at Coventry University, the Smart Vehicles Control Lab (SVeCLab) is a recently established multi- and inter-disciplinary laboratory within the Institute for Future Transport and Cities.


While open to a wide spectrum of applications, the lab’s main motivation is in conducting research and supporting teaching involving Modelling, Control & Optimisation with emphasis on Hybrid Electric/Electric Vehicles and Connected & Autonomous Vehicles.


Dr Arash Moradinegade DIZQAH – Co-founder
Senior Lecturer in Intelligent Transport Systems

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Dr Mauro Sebastián INNOCENTE – Co-founder
Lecturer in Aerospace Engineering

Dr José Martín HERREROS – Co-founder (University of Birmingham)
Lecturer in Vehicle Engineering


Brandon Lee BALLARD, PhD Student
Distributed Predictive Control Strategies for Active Suspension Systems with Preview
(Main Supervisor: Dr A.M. Dizqah)

Paolo GRASSOPhD Student
Dynamics, Control and Cooperative Decision-Making in Swarms of Self-Organising Drones Aimed at Fighting Fires Autonomously
(Main Supervisor: Dr M.S. Innocente)

Zihao LIU, PhD Student
Mission Dependent Predictive Engine and After-Treatment Control Strategies for Passenger Car Diesel Engines
(Main Supervisor: Dr A.M. Dizqah)

Constantin Sorin PAVELESCU, Research Intern
Gazebo simulation, system identification and control of the Erle-copter using Artificial Neural Networks towards path planning
(Main Supervisor: Dr M.S. Innocente)

Sunday Akor AGBO, MSc Student
Gazebo simulation, control and assembly of the Erle-copter towards path following

(Main Supervisor: Dr M.S. Innocente)


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Facilities2018-03-08 14.38.25

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Real-Time Simulation platforms as an affordable test bed to:

  • Simulate HEV/EVs in signal level.
  • Develop real-time implementation of the control algorithms for autonomous vehicles and HEV/EVs on ECUs.
  • Simulate smart grid and microgrids for Vehicle-to-Grid (V2G) applications.
  • Integrating driver- and the signal-level hardware-in-the-loop simulators to develop and test advanced control strategies.

3D printer and CNC machine

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Mini-roller bench test rig to characterise planar robots.

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Small robots as the affordable test bed to:

  • Develop Connected Vehicles control algorithms.
  • Develop Algorithms for autonomous vehicles.
  • Develop vehicle-to-grid algorithms.
  • Develop energy management strategies for EVs.

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