Obiettivo Light Commercial vehicle fleets are important for the EV adoption A LCV is a business tool, so the utilisation rate and ensuring business continuity are key. Integrating and managing electric LCV is challenging due to the limited driving range and charging infrastructure.In this project, our aim is to make a feasibility study of developing the first AI based charging assistant for Light Commercial Vehicle fleets. As part of the project aim is to research into the technical feasibility of analyzing vehicle charging data from the electric LCVs and combine that with consumption data from public, home and office chargers to ensure business continuity of eLCV fleets and save money on charging and reducing idle time.According to the IEA, EV/HEVs stock is projected to reach 200 Million units by 2030. The total EV/HEV market is expected to grow up 233EUR bn by 2021 growing at a 40.65%The project will allow us to facilitate the market spread of eLCVs with the first machine learning based smart charging assistant tool based on our unique algorithm that combines advanced energy management and telematics. This will imply to disrupt into the European and international market by saving significant money on eLCV charging and reducing downtimes for our client while generating 5,1 M€ profit until 2022 and a generation of 42 new direct jobs on the company level for Konetik.Konetik is a telematics company focusing on products helping the widespread of electric vehicles. Konetik serves 300+ companies 3 energy utilities already engaged (NKM, ENGIE, EnBW) regarding a pilot program. Selected as one of the top 100 Berlin based startups Campo scientifico social sciencessocial geographytransportelectric vehiclessocial scienceseconomics and businessbusiness and managementbusiness modelsnatural sciencescomputer and information sciencesartificial intelligencemachine learning Programma(i) H2020-EU.2.3. - INDUSTRIAL LEADERSHIP - Innovation In SMEs Main Programme H2020-EU.3. - PRIORITY 'Societal challenges H2020-EU.2.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies Argomento(i) EIC-SMEInst-2018-2020 - SME instrument Invito a presentare proposte H2020-EIC-SMEInst-2018-2020 Vedi altri progetti per questo bando Bando secondario H2020-SMEInst-2018-2020-1 Meccanismo di finanziamento SME-1 - SME instrument phase 1 Coordinatore KONETIK DEUTSCHLAND GMBH Contribution nette de l'UE € 50 000,00 Indirizzo AKAZIENSTRASSE 3/A 10823 BERLIN Germania Mostra sulla mappa PMI L’organizzazione si è definita una PMI (piccola e media impresa) al momento della firma dell’accordo di sovvenzione. Sì Regione Berlin Berlin Berlin Tipo di attività Private for-profit entities (excluding Higher or Secondary Education Establishments) Collegamenti Contatta l’organizzazione Opens in new window Partecipazione a programmi di R&I dell'UE Opens in new window Rete di collaborazione HORIZON Opens in new window Costo totale € 71 429,00