Autonomous Vehicles & Artificial Intelligence Laboratory (AVAILab)

Multidisciplinary laboratory focused on developments and applications within the fields of Mathematical Modelling, Optimisation, Soft & Natural Computing, Self-Organisation & Swarm Robotics, Autonomous Navigation, Computer Vision, and Positioning Systems.

Model-Based Design Platform to Conjointly Optimise the Performance of Powertrains & Associated Energy Management Strategy of HEVs

Lead ResearcherDr Arash M. Dizqah
Daizy Rajput
Dr José M. Herreros
Dr Mauro S. Innocente

Funding:  FEV & IFTC PhD Scholarship
Duration:  Ongoing (since 2018)
PartnerFEV Europe GmbH

This project aims to conjointly optimise hybrid powertrains and their associated EMS. The powertrain is modelled using dSPACE, which offers both HIL and SIL simulations.

This model is capable of increasing the number of planetary gears up to three. The effect of increasing the number of planetary gears in a hybrid powertrain is also studied.

Optimisation of EMS is ongoing using AMPL (A Mathematical Programming Language) and KNITRO solver.

Derived Publications

  1. D. Rajput, J.M. Herreros, M.S. Innocente, J. Schaub, & A.M. Dizqah (2021). Electrified Powertrain with Multiple Planetary Gears and Corresponding Energy Management Strategy. Vehicles, 3, 341–356, MDPI.
    DOI: 10.3390/vehicles3030021
    Selected as the cover story for the special issue The Total Life-Cycle Footprint of Electric Vehicles in Road Transportation.
  2. D. Rajput, A.M. Dizqah, J.M. Herreros, & M.S. Innocente (2020). Effect of number of planetary gears on fuel consumption and vehicle performance in the hybrid powertrain of a passenger car. Poster session presented at the Future Powertrain Conference, Birmingham, UK.
    First Prize Poster Competition Award Winner at FPC 2020, Birmingham, UK.

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