Electric machines (e–machines) have found widespread use in many applications and are gaining significant attention in the automotive and industrial sectors. Major challenges in developing next generation e–machines include obtaining high power density, energy efficiency, and durability while maintaining a low cost. To address these challenges through research and development, innovative multi–phase e–machine topologies and improved electric and magnetic circuit–based models for accurate analysis will be discussed. The use of improved mathematical models in conjunction with efficient design optimization algorithms, including multi–objective and multi– level optimization methods, to achieve the target e–machine performance will be explored in detail. E–machine and drive design, optimization, and comprehensive performance testing procedures will be highlighted from an electric vehicle application perspective. Advanced e– machine and power controller designs for application in renewable energy harvesting and renewable energy–based storage systems for improved energy–savings will also be explained. This presentation will focus on specific research problems, enabling technologies, solutions and future research challenges in the areas of e–machine and drive design, optimization and energy storage systems. In addition, research collaboration and funding opportunities to carry out the proposed research will be discussed.
Himavarsha Dhulipati received the B.Tech degree in Electrical and Electronics Engineering from Shanmugha Arts, Science, Technology, and Research Academy University, India, in 2014 and the Ph.D. degree in Electrical Engineering from University of Windsor, Canada in 2019. She is currently employed at Taiga Motors Corporation in Montreal, Canada as a Motor Drive Engineer. Her research interests are in the areas of electric motor design optimization, integration testing, motor control development & tuning to improve vehicle response for on-road and off-road electric vehicle applications.