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 lab shared among the Vehicle Dynamics, Control Systems, and Low Carbon Vehicles themes within the Centre for Mobility and Transport at Coventry University.

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.

Founding Members

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Dr Arash Moradinegade DIZQAH – Member
Senior Lecturer in Intelligent Transport Systems
(http://www.coventry.ac.uk/research/research-directories/researchers/dr-arash-m-dizqah/)

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Dr Mauro Sebastián INNOCENTEMember
Lecturer in Aerospace Engineering
(http://www.coventry.ac.uk/research/research-directories/researchers/dr-mauro-sebastian-innocente/)

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Dr José Martín HERREROSVisiting Research Fellow (University of Birmingham)
Lecturer in Vehicle Engineering
(https://scholar.google.co.uk/citations?user=qOCb86IAAAAJ&hl=en)

Research Students

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

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

 

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Facilities

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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.

Mini-roller bench test rig to characterise planar robots.

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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