Join our webinar exploring cutting-edge strategies for designing rare earth-free traction motors. Discover innovative approaches to digital design, integrating computational intelligence for optimal performance. Learn how high-performance computing enables revolutionary workflows, evaluating multiple solutions across electromagnetic, thermal, and mechanical domains. Don't miss out on pioneering the future of electric propulsion.

Speaker: Mircea Popescu, Principal Product Specialist (ANSYS)

Background

Electric traction/propulsion is widely regarded as one of the primary solutions for enhancing energy efficiency and reducing CO2 emissions in transportation. Whether it's hybrid or fully electric propulsion systems, they undoubtedly necessitate power electronic-driven electrical machines. Industry-led technology roadmaps in automotive, aerospace, heavy goods transport, etc., sectors acknowledge the significance of electrification and have established ambitious targets for future electrical machine performance regarding power-to-weight ratio, efficiency, and cost. Additionally, they consider the security of the material supply chain and local manufacturing capabilities.

There is a strong imperative to decrease the volume and cost of active materials in propulsion motor technologies beyond their current state-of-the-art. Potential solutions encompass heightened motor speeds and increased pole numbers and/or alternative types such as asynchronous reluctance, electrically excited, and induction machines with reduced reliance on rare-earth materials. Due to significantly varied usage and performance requirements across e-mobility applications, adopting a common standard of motor design is unlikely to yield optimal results in terms of overall system energy efficiency and cost-effectiveness. Design software must evolve to meet the demands of these new technological developments and provide a user-friendly experience, even for non-specialist users.

This webinar delves deeper into these considerations and conducts comparative analysis. This presentation also examines the potential of advancements in computational intelligence to tackle the challenges posed by an evolving digital design landscape. By integrating state-of-the-art sensitivity analysis with multi-objective optimization techniques, we can enhance the design process of electric propulsion motors. The availability of high-performance computing or cloud infrastructure enables a groundbreaking design workflow, facilitating the evaluation of multiple candidate solutions in terms of electromagnetic, thermal, and mechanical behavior across the entire operating range.