Advanced slot and winding designs are imperative to create future high performance electrical machines (EM). As a result, the development of methods to design and improve slot filling factor (SFF) has attracted considerable research. Recent developments in manufacturing processes, such as additive manufacturing and alternative materials, has also highlighted a need for novel high-fidelity design techniques to develop high performance complex geometries and topologies. This study therefore introduces a novel physics-informed machine learning (PIML) design optimization process for improving SFF in traction electrical machines used in electric vehicles. A maximum entropy sampling algorithm (MESA) is used to seed a physics-informed Bayesian optimization (PIBO) algorithm, where the target function and its approximations are produced by Gaussian processes (GP)s. The proposed PIBO-MESA is coupled with a 2D finite element model (FEM) to perform a GP-based surrogate and provide the first demonstration of the optimal combination of complex design variables for an electrical machine. Significant computational gains were achieved using the new PIBO-MESA approach, which is 45% faster than existing stochastic methods, such as the non-dominated sorting genetic algorithm II (NSGA-II). The FEM results confirm that the new design optimization process and keystone shaped wires lead to a higher SFF (i.e. by 20%) and electromagnetic improvements (e.g. maximum torque by 12%) with similar resistivity. The newly developed PIBO-MESA design optimization process therefore presents significant benefits in the design of high-performance electric machines, with reduced development time and costs.

It can get lonely living on your own, especially when you've got a landlord that doesn't allow pets or roommates. PiBo is built with service in mind. It can act as an alarm clock, recount the day's weather and top news stories, play music, take pictures and remind you of upcoming appointments. Its functionality is easily expanded to include home security integration, voice and facial recognition and more thanks to a dedicated app store. You can even code your own programs and features if have the skills. PiBo itself can be controlled through voice commands, QR-embedded flash cards, or through its associated dashboard app (available for both iOS and Android).

Korean start-up Circulus hopes its cute and sociable robot called piBo will be your new best friend. A link has been sent to your friend's email address. A link has been posted to your Facebook feed. Korean start-up Circulus hopes its cute and sociable robot called piBo will be your new best friend.