Intelligent Energy Management Strategy for a Parallel Hybrid Vehicle Technical Univ. of Braunschweig

Format:

Conference/Event

Author/Creator:

Mustafa, Mustafa, author.

Contributor:

Eilts, Peter

Küc̦ükay, Ferit

Schulze, Mirko

Conference Name:

SAE 2014 World Congress & Exhibition (2014-04-08 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2014

Summary:

AbstractHybrid electric vehicles (HEV's) are facing increasing challenges in optimizing the energy flow through a vehicle system, in order to improve both fuel economy and vehicle emissions. Energy management of HEV's is a difficult task due to the complexity of the total system in terms of electrical, mechanical and thermal behavior.In this paper, an advanced control strategy for a parallel hybrid vehicle is developed. Four main steps are presented, particularly to achieve a reduction in fuel consumption. The first step is the development of a highly complex HEV model, including dynamic and thermal behavior. Second, a heuristical control strategy is developed to determine the HEV modes and third, a State of Charge (SoC) leveling is developed with the interaction of a fuzzy logic controller. It is proposed to calculate the load point shifting of the Internal Combustion Engine (ICE) and the desired battery SoC.Fourth, novel multi-objective optimization techniques, such as a genetic algorithm, are used for the optimization of the fuzzy logic controller and the heuristical control strategy. The simulation results show a potential fuel reduction relative to the baseline control strategy

Notes:

Vendor supplied data

Publisher Number:

2014-01-1909

Access Restriction:

Restricted for use by site license