Charging Robotics y Make My Day se preparan para implementar un Sistema de Gestión de Carga de Vehículos Eléctricos basado en IA

Location: Worldwide

Make My Day, a market leader in the field of EV fleet management for minimizing EV battery consumption, announces that as part of its collaboration with Charging Robotics.

The two companies reached the final stages of development of their software for EV (electric vehicle) charging management in automatic car parks. 

The Integration

The charging management system uses machine learning and AI (artificial intelligence) algorithms to answer the growing shortage of electricity for EV charging. With the rise in EV adoption, there is a growing concern that electricity supply will not be enough to fully charge all EVs parked in the automatic parking facility in the required time. In order to solve this need, Charging Robotics and Make My Day developed a unique charging management software that allows to prioritize the charge sequence and deliver the exact amount of electricity each driver needs.

This software uses predictive machine learning and AI algorithms to supply each driver the required amount of electricity needed for their planned drives. It also prioritizes the charge order based on the planned departure time of each driver, the vehicle type, driving style and other parameters. This software is based on Make My Day expertise in electric vehicle fleet management with the adaptations to the Charging Robotics system for wireless charging in automatic parking facilities. The software is seamlessly integrated into the Charging Robotics UI (user interface) and works with the Charging Robotics system for wireless charging in automatic car parks which allows to charging of any EV in places where the driver cannot access to connect a charging plug.

Want to be our next partner?

Our Certified Solutions for sustainable Fleet:

API de optimización de carga

Fleet Electrification Planning tool

Sistema de Gestión de Flotas de Vehículos Eléctricos

Related Posts

es_ESSpanish