DocumentCode :
86351
Title :
Engine On/Off Control for the Energy Management of a Serial Hybrid Electric Bus via Convex Optimization
Author :
Elbert, Philipp ; Nuesch, Tobias ; Ritter, A. ; Murgovski, Nikolce ; Guzzella, Lino
Author_Institution :
Dept. of Mech. & Process Eng., ETH Zurich, Zurich, Switzerland
Volume :
63
Issue :
8
fYear :
2014
fDate :
Oct. 2014
Firstpage :
3549
Lastpage :
3559
Abstract :
Convex optimization has recently been suggested for solving the optimal energy management problem of hybrid electric vehicles. Compared with dynamic programming, this approach can significantly reduce the computational time, but the price to pay is additional model approximations and heuristics for discrete decision variables such as engine on/off control. In this paper, the globally optimal engine on/off conditions are derived analytically. It is demonstrated that the optimal engine on/off strategy is to switch the engine on if and only if the requested power exceeds a certain nonconstant threshold. By iteratively computing the threshold and the power split using convex optimization, the optimal solution to the energy management problem is found. The effectiveness of the presented approach is demonstrated in two sizing case studies. The first case study deals with high-energy-capacity batteries, whereas the second case study deals with supercapacitors that have much lower energy capacity. In both cases, the proposed algorithm yields optimal results much faster than the dynamic programming algorithm.
Keywords :
dynamic programming; energy conservation; engines; hybrid electric vehicles; road vehicles; convex optimization; dynamic programming; engine ON-OFF control; globally optimal engine ON-OFF conditions; high-energy-capacity batteries; nonconstant threshold; optimal energy management problem; optimal engine ON-OFF strategy; power split; serial hybrid electric bus; Approximation methods; Batteries; Convex functions; Energy management; Engines; Mathematical model; Vehicles; Convex optimization; Hybrid vehicles; convex optimization; energy management; energy management, sizing; hybrid vehicles; sizing;
fLanguage :
English
Journal_Title :
Vehicular Technology, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9545
Type :
jour
DOI :
10.1109/TVT.2014.2304137
Filename :
6730692
Link To Document :
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