DocumentCode
174241
Title
Optimization loops as method for analysis of boost recuperation systems
Author
Dirnberger, Markus ; Retana, Roberto ; Hartmann, Sven Oliver ; Herzog, Hans-Georg
Author_Institution
Robert Bosch GmbH, Stuttgart, Germany
fYear
2014
fDate
22-24 May 2014
Firstpage
498
Lastpage
505
Abstract
The reduction of CO2 emissions and fuel consumption is a continuous challenge towards the optimization of hybrid and electric vehicles. The approach in this paper is to use the claw pole alternator as boost-recuperation-machine (BRM), to realize a mild hybrid electrical vehicle. The investigated parameters are the control strategy and the pulley ratio of the BRM. These parameters are easily adjustable and influence the fuel consumption in the range of several ml/100km. For such minimal fuel savings an appropriate method is needed, which differs fundamentally to full hybrid optimization methods. To assess such small values the State-of-Charge (SOC) in the battery must be kept neutral during a driving cycle. Besides the SOC-neutral driving and a fast convergence behavior is essential. Consequently, several methods for optimization are considered, compared and improved. To improve the optimization progress optimization loops are used to analyze and optimize the system. Finally, the developed method is applied on a boost-recuperation-system (BRS) to minimize the fuel consumption.
Keywords
air pollution control; alternators; fuel economy; hybrid electric vehicles; machine control; optimisation; battery state-of-charge; boost recuperation machine; boost recuperation system; carbon dioxide emission reduction; claw pole alternator; fuel consumption reduction; hybrid electrical vehicle; neutral driving; optimization loop; Batteries; Fuels; Generators; Linear programming; Optimization; Pulleys; System-on-chip;
fLanguage
English
Publisher
ieee
Conference_Titel
Optimization of Electrical and Electronic Equipment (OPTIM), 2014 International Conference on
Conference_Location
Bran
Type
conf
DOI
10.1109/OPTIM.2014.6850872
Filename
6850872
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