Influence of the Road Grade on the Optimization of Fuzzy-Based Hybrid Electric Vehicle Control Strategy Systems Simulation and Control Laboratory, Mechanical Engineering Department, Iran University of Science and Technology

Format:

Conference/Event

Author/Creator:

Montazeri-Gh, Morteza, author.

Conference Name:

Powertrain & Fluid Systems Conference and Exhibition (2006-10-16 : Toronto, Canada)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2006

Summary:

This paper describes a methodological approach for the investigation of the influence of the road grade on the optimization of the HEV control strategy. In this study, the genetic-fuzzy control strategy for the HEV power flow management is employed. The genetic-fuzzy control strategy is a fuzzy control strategy which is tuned offline using the genetic algorithm (GA). In this approach, the optimal selection of the fuzzy control parameters is formulated as a constrained optimization problem. In addition, the objective is defined to minimize the vehicle fuel consumption and emissions while satisfying the driving performance constraints.The tuning process is performed for TEH-CAR driving cycle taking the grade into account. TEH-CAR is a driving cycle that is developed based on the experimental data collected from the real traffic conditions. The simulation results show the effectiveness of the approach and reveal that the road grade has a considerable influence on the HEV fuel use and emissions

Notes:

Vendor supplied data

Publisher Number:

2006-01-3293

Access Restriction:

Restricted for use by site license