Influence of the Road Grade on the Optimization of Fuzzy-Based Hybrid Electric Vehicle Control Strategy

2006-01-3293

10/16/2006

Event
Powertrain & Fluid Systems Conference and Exhibition
Authors Abstract
Content
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.
Meta TagsDetails
DOI
https://doi.org/10.4271/2006-01-3293
Pages
13
Citation
Montazeri-Gh, M., and Asadi, M., "Influence of the Road Grade on the Optimization of Fuzzy-Based Hybrid Electric Vehicle Control Strategy," SAE Technical Paper 2006-01-3293, 2006, https://doi.org/10.4271/2006-01-3293.
Additional Details
Publisher
Published
Oct 16, 2006
Product Code
2006-01-3293
Content Type
Technical Paper
Language
English