000			01967nab a2200205 4500
005			20260522170905.0
008			260224s2010 xxu
100	1		_aSorrentino, M. _943454
100	1		_aArsie, I. _943455
100	1		_aDi Martino, R. _943456
245	0	0	_aOn the use of genetic algorithm to optimize the on-board energy management of a hybrid solar vehicle
260			_cene./feb. 2010
270			_a05/07/2010 ; 05/07/2010
300			_a12 p. ; 133-144
520			_aTranscripción del resumen del autor. This paper deals with the development of a prototype of Hybrid Solar Vehicle (HSV) with series structure. This activity has been also conducted in the framework of the European Union funded Leonardo project "Energy Conversion Systems and Their Environmental Impact", a project with research and educational objectives. A study on supervisory control for hybrid solar vehicles and some preliminary tests performed on the road are presented. Previous results obtained by a model for HSV optimal design have confirmed the relevant benefits of such vehicles with respect to conventional cars in case of intermittent use in urban driving (city-car), and that economical feasibility could be achieved in a near future. Due to the series-powertrain adopted for the HSV prototype, an intermittent use of the ICE (Internal Combustion Engine) powering the electric generator is possible, thus avoiding part-load low-efficient engine operations. The best ICE power trajectory is determined via genetic algorithm optimization accounting for fuel mileage as well as battery state of charge, also considering solar contribution during parking mode. The experimental set up used for data logging, real-time monitoring and control of the prototype is also presented, and the results obtained with different road tests discussed.
581			_a1
773	0		_tOil and Gas Science and Technology _g65
942			_cARTICULO _2ddc
999			_c171730 _d171730