Experimental Statistical Method Predicting AC Losses on Random Windings and PWM Effect Evaluation

Nowadays, one of the challenges in transport electrification is reduction components' size and weight order to improve power density. This often achieved by designing electrical machines with higher rotational speeds excitation frequencies. In addition, converter needs control machine over a wide speed range given mission profile. Therefore, copper losses can significantly increase due combination high frequency harmonics introduced converter. The winding arrangement design plays key role minimization losses, thus towards efficiency and/or an improved Different topologies be adopted for amongst them random windings are still most widespread types. paper presents depth study on AC motor applications. An analytical method compared against 2-D Finite Element (FE) simulation results. These then experimental measurements taken custom motorette. Importantly, take into account positions each strand within slots, Experimental Statistic Method (ESM) proposed. ESM allows define probability distribution which useful evaluate at stage. contribution Pulse Width Modulation (PWM) effect also considered experimentally evaluated.