DocumentCode
3267869
Title
Control Solutions for Hybrid Solar Vehicle Fuel Consumption Minimization
Author
Preitl, Zsuzsa ; Bauer, Peter ; Kulcsar, Balazs ; Rizzo, Gianfranco ; Bokor, Jozsef
Author_Institution
Budapest Univ. of Technol. & Econ., Budapest
fYear
2007
fDate
13-15 June 2007
Firstpage
767
Lastpage
772
Abstract
Hybrid electric vehicles (HEVs) gain more and more attention, as they represent a more environmental friendly alternative to conventional vehicles. If combined with photovoltaic panels, they can lead to further reduction of emissions. The paper focuses on a solution for minimizing the fuel consumption in a series hybrid solar vehicle (HSV). After briefly introducing the model, first a global optimum in fuel consumption is presented using dynamic programming, as a reference value. As a real-time control strategy, model predictive control (MPC) is considered. A fuel consumption equivalent quantity is defined which is used for calculating the fuel needed to bring the battery state of charge to a starting value (set in this case for 0.7 in relative units). For different values of the MPC tuning parameters simulations are performed using the urban section of the New European Drive Cycle. Conclusions based on the simulations are presented.
Keywords
dynamic programming; fuel economy; hybrid electric vehicles; photovoltaic cells; predictive control; MPC; New European Drive Cycle; dynamic programming; hybrid electric vehicles; hybrid solar vehicle fuel consumption minimization; model predictive control; photovoltaic panels; real-time control; Batteries; Brushless DC motors; Fuels; Hybrid electric vehicles; Mathematical model; Photovoltaic systems; Predictive control; Predictive models; Solar power generation; Solar powered vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Vehicles Symposium, 2007 IEEE
Conference_Location
Istanbul
ISSN
1931-0587
Print_ISBN
1-4244-1067-3
Electronic_ISBN
1931-0587
Type
conf
DOI
10.1109/IVS.2007.4290209
Filename
4290209
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