Project
EMERALD - Energy ManagEment and RechArging for efficient eLectric car Driving
Funding origin:
European
STRIA Roadmaps:
Transport electrification (ELT)
Network and traffic management systems (NTM)
Smart mobility and services (SMO)
Transport mode:
Road
Transport sectors:
Passenger transport
CORDIS link:
https://cordis.europa.eu/project/id/314151
Duration:
Start date: 01/10/2012,
End date: 30/06/2016
Status: Finished
Funding details:
Total cost:
€4 663 764
EU Contribution:
€3 150 000
Overview
Objectives:
EMERALD focuses on energy use optimisation and on the seamless integration of the FEV into the transport and energy infrastructure, by delivering clear advances over the state-of-the-art. The goal is to assist the FEV in becoming a successful commercial product.
To this end, EMERALD will innovate a range of novel ICT solutions, each one seamlessly integrated with the others, providing a multifaceted and comprehensive approach on these issues. EMERALD will introduce Integrated in-vehicle energy management, comprising:
- Dynamic energy-driven management of FEV auxiliaries, tightly integrated with consumption prediction functionality, enabling pre-emptive energy conservation measures.
- Energy-efficient long-range route planning and optimisation, enabling extension of FEV's driving range and automatic scheduling of recharging stops en route.
- Performance-centric machine learning for consumption prediction, introducing optimization and cooperative training of machine learning functions targeted for energy consumption and traffic prediction based on experience.
- Driver profiling functionalities, through monitoring of acceleration/braking patterns, for the enhancement of route consumption prediction functionality.\n-\tV2G traffic and consumption data synchronisation, as a new cooperative information-sharing scheme.
- User-centric charge and discharge management, enabling automatically-generated, optimal for the user, charge and discharge schedules, accessible both on-board and on his mobile phone.
- EMERALD will also introduce: Enhanced FEV-related power demand prediction and power flow management support, taking advantage of consumption patterns as shared in a cooperative manner by the FEVs themselves, as well as from FEVs' recharging bookings; Cooperative FEV fleet management, though holistic and dynamic, multi-parameter, fleet control optimization, taking into account energy and recharging limitations; and FEV-specific driver training for energy efficiency.
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