|SUBJECT:||M.S. Thesis Presentation|
|TIME:||Monday, March 31, 2014, 10:00 a.m.|
|PLACE:||Love Building, 109|
|TITLE:||Development of Control Strategies to Optimize the Fuel Economy of Hybrid Electric Vehicles|
|COMMITTEE:||Dr. Nader Sadegh, Chair (ME)
Dr. David Taylor (ECE)
Dr. Mark Costello (ME)
This thesis (1) reports a new Dynamic Programming(DP) approach, and (2) reports a Real Time Control strategy to optimize the energy management of a Hybrid Electric Vehicle(HEV). Increasing environmental concerns and rise in fuel prices in recent years has escalated interest in fuel efficient vehicles from government, consumers and car manufacturers. Due to this, Hybrid electric vehicles (HEV) have gained popularity in recent years. HEVís have two degrees of freedom for energy flow controls, and hence the performance of a HEV is strongly dependent on the control of the power split between thermal and electrical power sources. In this thesis backward-looking and forward-looking control strategies for two HEV archtitectures namely series and parallel HEV are developed.