OVERVIEW   PARTNERS   A9 DATASET   RESEARCH

 


 

PARTNERS OF CiLoCharging

Siemens: Optimization of integrated energy management

In the consortium, Siemens assumes the roles of the network coordinator and the leader of the integration of the charging infrastructure) and the work package “Integrative Optimization Approach” for the development activities and works closely with the responsible business unit SI (Smart Infrastructure) in the project.

Contact

Jürgen Götz

Component Engineer

Siemens

juergen.goetz@siemens.com

Fachhochschule Dortmund: Scenarios, use cases and systematic analysis

Creation of scenarios and use cases as well as the systematic analysis of the requirements for the project results, carried out using the CONSENS methodology and in coordination with the application partner DHL Freight.

Contact

Prof. Carsten Wolff

Professor of Computer Engineering

TU Dortmund

carsten.wolff@fh-dortmund.de

TU Munich: Simulation for charge management

Setting up a simulation environment for a load management system with the aim of optimizing the use of resources for a logistics fleet. The mobility simulator City Mobility Simulator (CityMoS) is used.

Contact

Dr. David Eckhoff

Director Simulation Laboratory

TUMCREATE

LinkedIn

DHL Freight: Procurement and operation of electric trucks

Procurement and operation of electric trucks and the necessary charging infrastructure. In cooperation with the other project partners, the implementation and operation will be evaluated and the solutions will be further developed.

Contact

Sven Ruf

Project Manager

DHL Freight

LinkedIn

STTech: AI, machine learning and deep learning in the context of charging solutions.

Bring artificial intelligence, machine learning, and deep learning concepts and methods into CiLoCharging, as well as demonstrate their meaningful and beneficial use in this context.

Contact

Gereon Hinz

CEO

STTech GmbH

LinkedIn

Blog Topics

11. May 2022

Elektrobit: Coining Test Lab to stationary data

Elektrobit lays the foundation for Big Data evaluations of traffic data. Simon Tiedemann on the developments in P++.

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28. April 2022

„Safety Guard“: Intel uses bird’s eye view to explore new infrastructure-based safety concepts

Researchers at Intel Labs are using the digital twin in the Providentia++ research project to develop a “Safety Guard” that improves road safety.

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10. April 2022

fortiss-Real-time-platform: Distribute algorithms before bottlenecks occur

Data fusion, perception, and prediction were the three topics fortiss addressed in the Providentia++ research project. Bernhard Blieninger takes stock.

MORE >