Artificial Intelligence based Smart Charging Assistant for Electric Light Commercial Vehicle Fleets

Información del proyecto

Konetik eLCV

Identificador del acuerdo de subvención: 837614

DOI

10.3030/837614

Proyecto cerrado

Fecha de la firma de la CE 29 Noviembre 2018

Fecha de inicio 1 Noviembre 2018

Fecha de finalización 31 Enero 2019

Financiado con arreglo a

• INDUSTRIAL LEADERSHIP - Innovation In SMEs

Coste total

€ 71 429,00

Aportación de la UE

€ 50 000,00

Coordinado por

KONETIK DEUTSCHLAND GMBH
Germany

Periodic Reporting for period 1 - Konetik eLCV (Artificial Intelligence based Smart Charging Assistant for Electric Light Commercial Vehicle Fleets)

Período documentado: 2018-11-01 hasta 2019-01-31

Resumen del contexto y de los objetivos generales del proyecto

Light Commercial vehicles are important for the EV adoption as they have the operational usage patterns where the electrification ROI is high but on the other hand this segment faces a lot of challenges due to the limited autonomy and constrained charging opportunities. During the project our aim was to conduct a feasibility study of the development of the first AI based charging assistant for Light Commercial Vehicle fleets.
Konetik already developed an automated EV suitability advisor and charging assistant to help fleets to integrate electric vehicles. Based on the learnings of the previous projects, we identified that Large Commercial vehicles have a great electrification potential, so we chose this early adopter segment to customer base of our future product.

Trabajo realizado desde el comienzo del proyecto hasta el final del período abarcado por el informe y los principales resultados hasta la fecha

During the project we validated the technical feasibility of the product by examining the the State of Charge data acquisition opportunities and validating the accessible APIs of charging infrastructure. We found no technical obstacle hindering the development of AI based charging assistant tool. Based on the results of the technical feasibility researches we have created the concept of the MVP and have outlined a technology roadmap for the development process.
We also analyzed the product concept from business point of view. We conducted a market research and competitor analysis in the e-mobility scene. We have conducted 20 interviews with fleet managers and e-mobility experts to understand the major daily challenges of electric vehicle fleet operation and validate the necessity of our charging assistant solution. The interviews have confirmed our hypothesis about difficulties with charging management and represented the customer need for a holistic solution.
The Konetik team elaborated the business model and market access strategy for the AI based charging assistant solution. We examined the legal environment and conducted a risk analysis on the business and technical aspects of the product.

Avances que van más allá del estado de la técnica e impacto potencial esperado (incluida la repercusión socioeconómica y las implicaciones sociales más amplias del proyecto hasta la fecha)

The research has shown developing competition in the broadening plate of e-mobility solutions. However, the combination of state of charge data, location data and charging information proves to be still a less utilized area.

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