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
Link To Document :
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