Date of Award

8-2010

Document Type

Thesis

Degree Name

Master of Science (MS)

Legacy Department

Mechanical Engineering

Advisor

Pisu, Pierluigi

Committee Member

Vahidi , Ardalan

Abstract

Today, the world is faced with a situation where new technologies have to be developed to decrease the dependence on natural non-renewable resources. Each day, as the demand for non-renewable resources increases, it puts great pressure on the scientific fraternity to develop new technologies that are aimed at reducing this dependence.
Today's road traffic plays a major part in the energy consumption worldwide. Hence it is imperative that we develop environmentally friendly solutions to this problem that arises in the transportation sector. Hybrid vehicle is one of the alternatives that can be seen as a viable solution to this energy crisis. The recent strides in the field of controls and optimization has led to the evolution of new control and optimization tools to target several simultaneous objectives in a plug-in hybrid electric vehicle.
The control strategies primarily target the minimization of fuel consumption, while meeting the power demand and also enhancing the drivability. The present work deals with the backward and forward modeling of a Power Split Plug-in Hybrid electric Vehicle. The Power-split plug-in hybrid electric vehicle is a combination of both series and parallel hybrid electric vehicles. A power split hybrid derives its name from the power split device namely the planetary gear set. The planetary gear set splits the engine power, allowing for both series and parallel modes. The model developed incorporates the fuel consumption minimization principle viz. Equivalent Consumption Minimization Principle(ECMS).
ECMS principle deals with assigning future fuel costs and savings to the actual usage of electrical energy. Thus, the present usage of electrical energy would mean that this energy has to be balanced by replenishment in terms of future fuel costs and the present usage of fuel for replenishment would be associated with future savings as this energy is available at a lower cost. The ECMS principle used for optimization provided the necessary minimization by maintaining the State of Charge of Renewable Electrical Storage System(RESS) within the prescribed limits. When properly designed by appropriately tuning the Charging and Discharging coefficients in the minimization strategy, we can optimize the vehicle performance over a given cycle, with the generation of power being intact and perhaps more to conform to the best emission standards in any part of the world.

Share

COinS