Thesis Defense Announcement for Jagdeo Singh – 06/26/2024 at 4:00 PM

June 20, 2024

Thesis title: Architecture selection and propulsion supervisory control strategies for all-wheel drive electric vehicles (EVs)
When: 06/26/24 at 4:00 p.m.
Simrall 228 and
Microsoft Teams:
Meeting ID: 258 938 360 464
Passcode: 9sxXUG

Candidate: Jagdeo Singh
Degree: Master of Science in Electrical & Computer Engineering
Committee Members: Dr. John Ball, Dr. Masoud Karimi-Ghartemani, and Dr. Umar Iqbal

The automotive industry is shifting towards the development of electric vehicles (EVs) at a rapid pace with most manufacturers intending to be producing solely electric vehicles by 2050. This is due in large part to government regulations aiming to reduce emissions from the transportation sector. As a result, significant research is being conducted to advance the development of EV propulsion technology. This research explores two aspects of EV design: the analysis and selection of an efficient EV propulsion architecture, and the implementation and testing of an efficiency-based energy management strategy (EMS) for implementation on Mississippi State’s EcoCAR team vehicle for the EcoCAR EV Challenge (2023 Cadillac LYRIQ). The proposed EMS serves as a first step in the development of a complex and robust propulsion supervisory controller with the objective of minimizing energy consumption, maximizing vehicle acceleration performance and minimizing jerk, to deliver a pleasant driving experience.