Title: Implementation of comfort constraints in dynamic programming for hybrid vehicle energy management

Authors: Maxime Debert; Thomas Miro Padovani; Guillaume Colin; Yann Chamaillard; Lino Guzzella

Addresses: Universite d'Orleans, 8, rue Leonard de Vinci, 45072 Orleans Cedex 2, France ' Universite d'Orleans, 8, rue Leonard de Vinci, 45072 Orleans Cedex 2, France ' Universite d'Orleans, 8, rue Leonard de Vinci, 45072 Orleans Cedex 2, France ' Universite d'Orleans, 8, rue Leonard de Vinci, 45072 Orleans Cedex 2, France ' ETH Zurich, IDSC Sonneggstr. 3, ML K32.1 ETH-Zentrum CH-8092 Zurich, Switzerland

Abstract: Optimisation algorithms for hybrid vehicles are used to evaluate embedded strategies and component sizing. Using a quasi-static vehicle model, dynamic programming is commonly used to solve the optimal control problem. Using this type of numerical algorithm yields results that are often incompatible with the purpose of smoothness and driver acceptance. Introducing a comfort criterion in the cost function increases the problem complexity and, therefore, the computational burden. In this paper, a novel suboptimal method is proposed which yields valuable results in terms of performance and computational time. This approach takes occupant comfort into account and thus comes close to a realistic solution.

Keywords: energy management; dynamic programming; hybrid electric vehicles; HEVs; optimisation; gear shifting; component sizing; occupant comfort; vehicle design.

DOI: 10.1504/IJVD.2012.047392

International Journal of Vehicle Design, 2012 Vol.58 No.2/3/4, pp.367 - 386

Available online: 18 Jun 2012

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