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Predictive energy management of hybrid long-haul trucks
RISE, Swedish ICT, Viktoria.
Chalmers University of Technology, Sweden.
Volvo Group Trucks Technology, Sweden.
Volvo Group Trucks Technology, Sweden.
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2015 (English)In: Control Engineering Practice, ISSN 0967-0661, E-ISSN 1873-6939, Vol. 41, p. 83-97Article in journal (Refereed) Published
Abstract [en]

This paper presents a novel predictive control scheme for energy management in hybrid trucks that drive autonomously on the highway. The proposed scheme uses information from GPS together with information about the speed limits along the planned route to schedule the charging and discharging of the battery, the vehicle speed, the gear, and when to turn off the engine and drive electrically. The proposed control scheme divides the predictive control problem into three layers that operate with different update frequencies and prediction horizons. The top layer plans the kinetic and electric energy in a convex optimization problem. In order to avoid a mixed-integer problem, the gear and the switching decision between hybrid and pure electric mode are optimized in a lower layer in a dynamic program whereas the lowest control layer only reacts on the current state and available references. The benefits of the proposed predictive control scheme are shown by simulations between Frankfurt and Koblenz. The simulations show that the predictive control scheme is able to significantly reduce the mechanical braking, resulting in fuel reductions of 4% when allowing an over and under speed of 5. km/h

Place, publisher, year, edition, pages
Elsevier Ltd , 2015. Vol. 41, p. 83-97
Keywords [en]
Automotive control, Dynamic programming, HEV energy management, Intelligent cruise control, Long haulage truck, Predictive control, Adaptive cruise control, Automobiles, Convex optimization, Energy management, Integer programming, Optimization, Predictive control systems, Trucks, Convex optimization problems, Dynamic programs, Electric energies, Haulage trucks, Mixed integer problems, Prediction horizon, Cruise control
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-42416DOI: 10.1016/j.conengprac.2015.04.014Scopus ID: 2-s2.0-84929991895OAI: oai:DiVA.org:ri-42416DiVA, id: diva2:1381307
Note

Funding text 1: The work has been financed by the Chalmers Energy Initiative . Appendix A

Available from: 2019-12-20 Created: 2019-12-20 Last updated: 2019-12-20Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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