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CT launches KIRIBATI, an R&D project whose final goal is to develop a smart software platform to design axial flux motors and electric traction systems.
The development of the KIRIBATI Smart Platform will represent a significant advance for the sector by providing designers a flexible decision-making tool directed at real behavior and will allow new models to be added, with the consequent economic benefit and design optimization.
CT, a leader in providing innovative technological engineering solutions for the entire product life cycle, has launched the KIRIBATI project, whose final goal is to develop a smart software platform to design axial flux motors and electric traction systems, providing an environment in which they can be designed and optimized based on the system data feedback provided to the design and scaling module. Obtaining a DIGITAL TWIN of the complete traction system will provide comprehensive and advanced design capabilities.
This project pursues the development of the KIRIBATI Smart Platform, which will consist of advanced design and scaling software for special electric machines and traction systems, including the parameterization of new materials and the evaluation of new topologies and configurations that had never before been considered. It will also allow “real behavior” to be studied through the hardware-in-the-loop (HIL) technique. To achieve this part of the software will be embedded in the hardware, giving rise to the KIRIBATI Smart Platform.
This disruptive new tool will allow the sector to digitally transform itself, thereby moving forward to Industry 4.0. With the development of this new solution, CT will significantly advance the sector by providing designers a flexible decision-making tool directed at real behavior, and allowing new models to be added, with the consequent economic benefits and design optimization.
The project is being co-financed by the Spanish Ministry of Energy, Tourism and Digital Agenda within the National Plan for Scientific and Technological Research and Innovation 2017-2020, file number TSI-100909-2019-3.
