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 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
Researchers:
Daizy Rajput
Dr José M. Herreros
Dr Mauro S. Innocente

Funding:  FEV & IFTC PhD Scholarship
Duration:  Ongoing (since 2018)
Partner:  FEV

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.

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