Energies 2014, 7(2), 834-856; doi:10.3390/en7020834
Article

Convex Optimization for the Energy Management of Hybrid Electric Vehicles Considering Engine Start and Gearshift Costs

Institute for Dynamic Systems and Control, ETH Zurich, Sonneggstrasse 3, Zurich 8092, Switzerland
* Author to whom correspondence should be addressed.
Received: 28 November 2013; in revised form: 30 January 2014 / Accepted: 5 February 2014 / Published: 19 February 2014
(This article belongs to the Special Issue Advances in Hybrid Vehicles)
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Abstract: This paper presents a novel method to solve the energy management problem for hybrid electric vehicles (HEVs) with engine start and gearshift costs. The method is based on a combination of deterministic dynamic programming (DP) and convex optimization. As demonstrated in a case study, the method yields globally optimal results while returning the solution in much less time than the conventional DP method. In addition, the proposed method handles state constraints, which allows for the application to scenarios where the battery state of charge (SOC) reaches its boundaries.
Keywords: HEV; energy management; convex optimization

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MDPI and ACS Style

Nüesch, T.; Elbert, P.; Flankl, M.; Onder, C.; Guzzella, L. Convex Optimization for the Energy Management of Hybrid Electric Vehicles Considering Engine Start and Gearshift Costs. Energies 2014, 7, 834-856.

AMA Style

Nüesch T, Elbert P, Flankl M, Onder C, Guzzella L. Convex Optimization for the Energy Management of Hybrid Electric Vehicles Considering Engine Start and Gearshift Costs. Energies. 2014; 7(2):834-856.

Chicago/Turabian Style

Nüesch, Tobias; Elbert, Philipp; Flankl, Michael; Onder, Christopher; Guzzella, Lino. 2014. "Convex Optimization for the Energy Management of Hybrid Electric Vehicles Considering Engine Start and Gearshift Costs." Energies 7, no. 2: 834-856.

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