NDLI: A comparative study between causal and non-causal algorithms for the energy management of hybrid storage systems

Content Provider	IEEE Xplore Digital Library
Author	Pinto, C. de Castro, R. Esteves Araujo, R.
Copyright Year	2013
Description	Author affiliation: Fac. of Eng., Univ. of Porto, Porto, Portugal (Pinto, C.; Esteves Araujo, R.) \|\| Inst. of Syst. Dynamics & Control, German Aerosp. Center (DLR), Wessling, Germany (de Castro, R.)
Abstract	This paper presents a comparative study between two non-causal algorithms for the energy management problem of electric vehicles, endowed with batteries and supercapacitors(SCs). Toward that goal, an optimization-based energy problem is formulated, which targets the minimization of the source's energy losses throughout a given driving cycle. This problem is solved, firstly, with the help of a fast (but locally optimal) non-linear programming solver; and, secondly, with a slow, but globally optimal, dynamic programming (DP) approach. Simulation results will demonstrate that, despite the different theoretical properties associated with these two solver approaches, both generate similar solutions. In the second part of the work, we will develop a filter-based energy management algorithm, i.e., employ batteries to provide the low-frequency content of the power demand, while SCs cover the high-frequency demand. Our approach builds on the idea of adapting the filter's time constant throughout the vehicle's journey, using, for that purpose, a fuzzy logic algorithm and the information of the state of the vehicle. In comparison with the traditional fixed time-constant approach, the simulation results show that under some conditions the adaptive time-constant algorithm has the potential to reduce the energy losses of the sources by up to 62%.
Starting Page	1
Ending Page	10
File Size	861186
Page Count	10
File Format	PDF
ISBN	9781479901166
DOI	10.1109/EPE.2013.6634702
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-02
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Road transportation Hybrid power integration Energy loss Energy system management Optimisation Supercapacitor Electric vehicle Batteries System-on-chip Energy management Optimization Vehicles
Content Type	Text
Resource Type	Article

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