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Predictive Energy Management in Plug-in Hybrid Electric Vehicles

Sector: Electric Vehicles (EVs) • Location: United Kingdom

Source: EU Funding & Tenders Portal

Project
Ended

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

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The project “Predictive Energy Management in Plug-in Hybrid Electric Vehicles” is an infrastructure initiative in the Electric Vehicles (EVs) sector, located in United Kingdom. Taiyo aggregates data on it from EU Funding & Tenders Portal.

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Description

Description

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.

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