PhD Studenship: Robust and Predictive Energy Management of Hybrid Electric Vehicles.
Location: Highfield Campu
Closing Date: Wednesday 04 July 2018
Transportation is responsible for the 20% of greenhouse gas emission in Europe and 14% worldwide. Electric and hybrid electric vehicles (HEVs) are essential for satisfying the long term ambitions of emission reductions in the UK and worldwide.
The efficiency of an HEV is largely determined by the energy management (EM) strategy, which is designed to optimally split the power demand between the electric motor and combustion engine. The baseline is represented by conventional EM systems, which a) are based on the instantaneous power demand and b) are calibrated for speci?c vehicle con?gurations. By contrast, this research aims at reducing by 5% the fuel consumption of HEVs by developing EM systems which:
a) PREDICT the power demand (according to route characteristics, driver style, and environmental conditions) for an improved optimisation of the powertrain usage; and b) are ROBUST to the actual operating conditions, such as for example component tolerances, component degradation over time, vehicle payload, external environment and other factors.
This studentship is linked to a major EPSRC project Green Adaptive Control for Future Interconnected Vehicles (www.g-active.uk).
Requirements: we seek self-motivated candidates holding a first or second class honours degree (or equivalent) in engineering and related disciplines, such as physics or mathematics. The ideal candidate should have a good background in control systems, both from the theoretical and practical point of view, and a good understanding of road vehicles.
The studentship is for three years. It fully covers University tuition fees £4195 (EU/UK level) and provides an annual tax-free stipend of 14,553 (2017-18 rate). Overseas students may apply if the difference between the EU and overseas fees is funded by other sources.
If you wish to discuss any details of the project informally, please contact Professor Roberto Lot, Energy Technology research group, Email: email@example.com, Tel: +44 (0) 2380 59 8520
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