Impact of driveability constraints on local optimal energy management strategies for hybrid powertrains

Damiano Bardini (1) , Thomas Leroy (1)

1 IFPEN - IFP Energies nouvelles

The paper deals with the issue of energy management in hybrid electric vehicles, considering possible solutions for addressing the power split in real-life conditions. The focus is on the comparison between two local optimal on-line energy management strategies: Stochastic Dynamic Programming (SDP) and Equivalent Consumption Minimization Strategy (ECMS). First, results of fuel consumption for simulation on 100 random driving cycles for the two strategies, tuned for best fuel consumption, are provided. Then, some driveability considerations, regarding engine utilization profile and dwell time, are made. The results of the simulation of the two strategies incorporating driveability constraints are discussed, showing a substantial change of situation with respect to the initial case.

Mots clés: Driveability; Energy Management; Equivalent Consumption Minimization Strategy; Pontryagin's Minimum Principle; Stochastic Dynamic Programming

Domaines: Autre; Energie électrique; Modélisation et simulation

Damiano Bardini, Thomas Leroy. Impact of driveability constraints on local optimal energy management strategies for hybrid powertrains. 7th IFAC Symposium on Advances in Automotive Control, Sep 2013, Tokyo, Japan. pp.23-28, ⟨10.3182/20130904-4-JP-2042.00076⟩. ⟨hal-00907746⟩