Time reduction of the Dynamic Programming computation in the case of hybrid vehicle

Issue title: Special Supplement Issue: Selected papers from the 13th International Workshop on Optimization and Inverse Problems in Electromagnetism (OIPE 2014)

Guest editors: Domenico Lahaye

Article type: Research Article

Authors: Vinot, Emmanuel

Affiliations: IFSTTAR, 25 Avenue François Mitterrand, 69500 Bron, France . Tel.: +33 4 72 14 24 03; E-mail: emmanuel.vinot@ifsttar.fr

Abstract: Deterministic Dynamic Programming is frequently used to solve the management problem of hybrid vehicles (choice of mode and power sharing between thermal and electric sources). However, it is time consuming and thus difficult to use in global sizing optimization or in parametric studies. This paper presents a comparison between three methods to compute the DDP problems. These methods are applied on the well known case of the Toyota PRIUS. It proves that a dense matrix method can reduce the computation time by up to 10 compared to more intuitive solving methods.

Keywords: Deterministic Dynamic Programming, solving algorithms, hybrid vehicle

DOI: 10.3233/JAE-140163

Journal: International Journal of Applied Electromagnetics and Mechanics, vol. 53, no. S2, pp. S213-S227, 2017