Hola,
¿eres nuevo aquí?

Regístrate gratis y conecta tu empresa con financiación pública, partners y proyectos.

Tengo cuenta

Regístrate

Ver video

EcoGem

Financiado

Cerrado

Cooperative Advanced Driver Assistance System for Green Cars

EcoGem claims that the success and user acceptability of Fully Electric Vehicles (FEVs) will predominantly depend on their electrical energy consumption rate and the corresponding degree of autonomy that they can offer.EcoGem aims... ver más

28/02/2013

TEMSA SKODA SABANC...

3M€

Presupuesto del proyecto: 3M€

Líder del proyecto

TEMSA SKODA SABANCI ULASIM ARACLARI ANONIM SI... No se ha especificado una descripción o un objeto social para esta compañía.

Fecha límite participación Sin fecha límite de participación.

Ver 12 Participantes

Financiación concedida El organismo FP7 notifico la concesión del proyecto el día 2013-02-28 No tenemos la información de la convocatoria

0% 65% 100%

Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

12 Participantes

TEMSA SKODA SABANCI ULASIM A...

0.00€ | Lider

ITS

N.D. | Participante

H I IBERIA INGENIERIA Y PROY...

N.D. | Participante

TECNALIA

N.D. | Participante

Conecta tu I+D

¿Tienes un proyecto y buscas un partner? Gracias a nuestro motor inteligente podemos recomendarte los mejores socios y ponerte en contacto con ellos. Te lo explicamos en este video

Proyectos interesantes

DESARROLLO DE UN SISTEMA DE SEÑALIZACIÓN DE A... DESARROLLO DE UN SISTEMA DE SEÑALIZACIÓN DE ACCIDENTES CONEC... 335K€ Cerrado

OVERSEE Open VEhiculaR SEcurE platform 4M€ Cerrado

IMPROVE Integration and Management of Performance and Road Efficienc... 5M€ Cerrado

AI4CSM Automotive Intelligence for at Connected Shared Mobility 41M€ Cerrado

GlobalBLED Ecosystem of Advanced ICT based Services Personalised Train... 2M€ Cerrado

I D DE NUEVA TECNOLOGÍA DE CARGA RÁPIDA DE MO... I D DE NUEVA TECNOLOGÍA DE CARGA RÁPIDA DE MODO 4 PARA MANTE... 425K€ Cerrado

Líder del proyecto

TEMSA SKODA SABANCI ULASIM ARACLARI ANONIM SI... No se ha especificado una descripción o un objeto social para esta compañía.

Presupuesto del proyecto 3M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto EcoGem claims that the success and user acceptability of Fully Electric Vehicles (FEVs) will predominantly depend on their electrical energy consumption rate and the corresponding degree of autonomy that they can offer.EcoGem aims at providing efficient ICT-based solutions to this great issue, by designing and developing a FEV-oriented highly-innovative Advanced Driver Assistance System (ADAS), equipped with suitable monitoring, learning, reasoning and management capabilities that will help increase the FEV's autonomy and energy efficiency.EcoGem will base its approach on rendering the FEV:(i)\tcapable of reaching the desired destinations through the most energy efficient routes possible;(ii)\tfully aware of surrounding recharging points/stations while on move.To achieve its goals, EcoGem will develop and employ novel techniques:(i)\ton-going learning-based traffic prediction;(ii)\toptimised route planning;(iii)\tinteractive and inter-operative traffic, fleet and recharging management via V2V and V2I interfaces and communication.EcoGem's key-objective is to infuse intelligence and learning functionalities to on-board systems, enabling autonomous as well as interactive learning through V2X interfacing. EcoGem vehicles will learn over time to predict (and thus avoid) congested routes, based on experience that they gather. This learning process will eventually render each EcoGem FEV capable of autonomously classifying routes according to their degree of congestion, enabling energy-driven route planning optimisation.The EcoGem ADAS will additionally cater for the complete planning of the vehicle's recharging strategy. This optimisation process will typically include automated battery monitoring and various levels of pro-activeness, optimised scheduling according to several parameters (battery levels, energy consumption rate, desired destination, present location, daytime, traffic, user agenda, etc.), and real-time booking of recharging points.

Conecta tu I+D

Entra hoy

¿Olvidé mi contraseña?

Financiación

Empresas

CTIs/Universidades

Proyectos

Investigadores