Future Electrified Mobile Machines – FEMMa

Future Electrified Mobile Machines – FEMMa

MAIN OBJECTIVE

Working machines form a fleet of machines in a worksite. The site can be, for example, a mine, a harbour, a crop field, or a forest. The worksite can be arranged hierarchically such that the whole entity is worksite, containing fleet and infrastructure, the fleet containing machines, the machines containing components, such as electric motors, batteries, and so on.

The objectives are, in the component level, to research the characteristics of individual components and how they affect the design and operation of the working machine, at machine level, the optimal power and energy use for machine movement and for the tool operation during the work cycle.

At the site level, the objective is how to design and coordinate work cycles, while also considering the specific characteristics of electrically operated machinery, such as the transmission of energy to the working machine during the working cycle.

Main objective

Matti Vilkko

Professor, Tampere University

Email: matti.vilkko@tuni.fi

Phone: +358 40 8332 830

Vist site

More information

Ari Hentunen

Senior Scientist, VTT

Email: ari.hentunen@vtt.fi

Phone: +358 40 5500 161

Vist site

OBJECTIVES
in more detail

The project focuses on developing technologies and methods that are fundamental for replacing fossil-fuel-based power sources, enabling the improvement in productivity, and extending the life cycle of the working machines, all important drivers for sustainability.

These fundamental technologies are machine’s technical solutions, optimised operations, measurement, and analysis methods of electrical components, mainly batteries but also inverters and electrically powered drives and tools.

Autonomy of electrified working machines improves productivity, and this research develops designs, control algorithms, and data-based methods for integrating worksite related data to operations of the working machines.

Digital technologies are the glue that enable orchestration of working machine components, working machines, use of worksite infrastructure, and provides data for renewing established and inventing novel data-based services.

The current digital solutions are based on legacy technologies and are cumbersome and laborious to develop, commission, and update. This research adopts technologies that are used in manufacturing automation industry and that are emerging in process automation industry but are not yet adopted in working machine industry.

The objectives can be described in more detail as follows: