Objective
Plug-in hybrid vehicles (PHEV) offer an ample alternative for low-carbon road mobility, which however impose a significantly challenge on maximising energy efficiency and driving autonomy. This pPHEV project aims at addressing this challenge by developing a predictive energy management system for PHEVs as well as realise an advanced career development for the experienced researcher using a clearly defined training-through-research approach. This proposed predictive control management will benefit from and integrate driver driving style information, and dynamic traffic and speed information within this project, along with a few on-going vehicle electrification and intelligence research activities at Cranfield University. This fellowship provides an excellent opportunity for the experienced researcher to advance the career training to secure a leading independent position at the end of the fellowship. The research outcomes will offer a step change in PHEV energy management, and promote knowledge sharing among different EV/HEV-related communities. The pPHEV project will not only advance the research, innovation and development of future PHEVs, but will also improve public awareness of smart green transport.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- social sciencessocial geographytransportelectric vehicles
- engineering and technologymechanical engineeringvehicle engineering
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Programme(s)
Funding Scheme
MSCA-IF-EF-ST - Standard EFCoordinator
MK43 0AL Cranfield - Bedfordshire
United Kingdom