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.
International Journal of Vehicle Design, 2012 Vol.58 No.2/3/4, pp.367 - 386
Received: 30 Oct 2010
Accepted: 13 May 2011
Published online: 31 Dec 2014 *