A two-layer predictive control for hybrid electric vehicles energy management

Nicoleta Stroe; Sorin Olaru; Guillaume Colin; Karim Ben-Cherif; Yann Chamaillard

A two-layer predictive control for hybrid electric vehicles energy management

Nicoleta Stroe ^{1, 2, 3} Sorin Olaru ² Guillaume Colin ³ Karim Ben-Cherif ¹ Yann Chamaillard ³

2 L2S - Laboratoire des signaux et systèmes

3 PRISME - Laboratoire pluridisciplinaire de recherche en ingénierie des systèmes, mécanique et énergétique

Abstract : In this paper, a two-layer predictive energy management strategy for hybrid electric vehicles without an external recharge is introduced. The low-level layer exploits telemetry data over a short-term horizon in a model predictive control structure that provides the engine torque, but also the stop-start decision. The upper layer uses a tuning mechanism with a longer horizon to calculate the MPC weighting factor that ensures a balance between the fuel and battery consumption. An analysis of this upper-level tuning prediction horizon dependence on the drive cycle characteristics is performed. The robustness with respect to state-of-charge and engine torque estimation is also proven by a sensitivity analysis.

Keywords : hybrid electric vehicle energy management predictive control

Document type :

Conference papers

Domain :

Engineering Sciences [physics] / Automatic

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https://hal-univ-orleans.archives-ouvertes.fr/hal-01566029
Contributor : Guillaume Colin <>
Submitted on : Thursday, July 20, 2017 - 3:58:54 PM
Last modification on : Saturday, February 1, 2020 - 1:49:33 AM

IFACWC2017_Stroe_el_al_MPC_HEV...

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