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Analytic Solutions to the Dynamic Programming sub-problem in Hybrid Vehicle Energy Management
Chalmers University of Technology, Sweden.
RISE, Swedish ICT, Viktoria.
Chalmers University of Technology, Sweden.
2014 (English)In: IEEE Transactions on Vehicular Technology, ISSN 0018-9545, E-ISSN 1939-9359, Vol. 64, no 4, p. 1458-Article in journal (Refereed) Published
Abstract [en]

The computationally demanding dynamic programming (DP) algorithm is frequently used in academic research to solve the energy management problem of a hybrid electric vehicle (HEV). This paper is exclusively focused on how the computational demand of such a computation can be reduced. The main idea is to use a local approximation of the gridded cost-to-go and derive an analytic solution for the optimal torque split decision at each point in the time and state grid. Thereby, it is not necessary to quantize the torque split and identify the optimal decision by interpolating in the cost-to-go. Two different approximations of the cost-to-go are considered in this paper: 1) a local linear approximation and 2) a quadratic spline approximation. The results indicate that computation time can be reduced by orders of magnitude with only a slight degradation in simulated fuel economy. Furthermore, with a spline approximated cost-to-go, it is also possible to significantly reduce the memory storage requirements. A parallel plug-in HEV is considered in this paper, but the method is also applicable to an HEV.

Place, publisher, year, edition, pages
2014. Vol. 64, no 4, p. 1458-
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:ri:diva-31944DOI: 10.1109/TVT.2014.2329864Scopus ID: 2-s2.0-84928318980OAI: oai:DiVA.org:ri-31944DiVA, id: diva2:1151802
Available from: 2017-10-24 Created: 2017-10-24 Last updated: 2020-02-21Bibliographically approved

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