Optimization of the Energy Management for Hybrid Electric Vehicles via Nonlinear Convex Analysis

Santolo Meo(1*), Luisa Toscano(2)

(1) Dept. of Electrical Eng. and Information Tech. (DIETI), “Federico II” University of Naples, Italy
(2) Dept. of Math. and Appl. "R. Caccioppoli", Univ. of Naples “Federico II”, Italy
(*) Corresponding author



Abstract


In recent years, the increment of electrical/electronic elements in vehicles blended with new governmental standards in order to observe more rigorous exhaust gas emission levels has boosted for the introduction of energy control approaches that can assure ideal energy management for any vehicle operative conditions dodging a damaging effect on the power train performances and on the fuel economy, simultaneously. This paper introduces a novel energy management strategy that aims to the reduction of the fuel intake and pollutant emissions in hybrid electric vehicles. In this study, this attempt has been developed as a nonlinear convex optimization matter, based on a precise modeling of the vehicle validated on a commercial automobile. Despite the fact that a power-split hybrid electric vehicle has been examined for the elaboration of the strategy, the adopted procedure is appropriate for all the hybrid formats (parallel, serie-parallel, etc). In this paper, after a full complete characterization of the presented strategy, its legitimacy has been proven on an effective commercial vehicle determining the excellence of the proposal.
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Keywords


Power-split hybrid electric vehicles, energy management, emissions reduction, automotive electric power system

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References


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