This paper presents a sensitivity analysis-based study aimed at robustly calibrating the parameters of an adaptive energy management strategy designed for a Plugin Hybrid Electric Vehicle (PHEV). The supervisory control is developed from the Pontryagin's Minimum Principle (PMP) approach and applied to a model of a GM Chevrolet Volt vehicle. The proposed controller aims at minimizing the fuel consumption of the vehicle over a given driving mission, by achieving a blended discharge strategy over the entire cycle. The calibration study is conducted over a wide set of driving conditions and it generates a look-up table and two constant values for the three controller parameters to be used in the in-vehicle implementation. Finally, the calibrated adaptive control strategy is validated against real driving cycles showing the effectiveness of the calibration approach.
Adaptive Energy Management Strategy Calibration in PHEVs Based on a Sensitivity Study
Sae Int. J. Alt. Power
11th International Conference on Engines & Vehicles ; 2013
Sae International Journal of Alternative Powertrains ; 2 , 3 ; 443-455
2013-09-08
13 pages
Conference paper
English
Adaptive Energy Management Strategy Calibration in PHEVs Based on a Sensitivity Study
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