Return to search

Optimal Velocity and Power Split Control of Hybrid Electric Vehicles

An assessment study of a novel approach is presented that combines discrete state-space Dynamic Programming and Pontryagin’s Maximum Principle for online optimal control of hybrid electric vehicles (HEV). In addition to electric energy storage and gear, kinetic energy and travel time are considered states in this paper. After presenting the corresponding model using a parallel HEV as an example, a benchmark method with Dynamic Programming is introduced which is used to show the solution quality of the novel approach. It is illustrated that the proposed method yields a close-to-optimal solution by solving the
optimal control problem over one hundred thousand times faster than the benchmark method. Finally, a potential online usage is assessed by comparing solution quality and calculation time with regard to the quantization of the state space.

Identiferoai:union.ndltd.org:DRESDEN/oai:qucosa.de:bsz:14-qucosa-219665
Date03 March 2017
CreatorsUebel, Stephan, Bäker, Bernard
ContributorsTechnische Universität Dresden, Fakultät Verkehrswissenschaften "Friedrich List", Technische Hochschule Chalmers, Signals and Systems, Technische Universität Dresden, Fakultät Verkehrswissenschaften "Friedrich List"
PublisherSaechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden
Source SetsHochschulschriftenserver (HSSS) der SLUB Dresden
LanguageEnglish
Detected LanguageEnglish
Typedoc-type:report
Formatapplication/pdf

Page generated in 0.0024 seconds