000			01697nab a2200205 4500
005			20260520002831.0
008			260224s2010 xxu
245	0	0	_aOptimal energy management in hybrid electric trucks using route information
260			_a _b _cene./feb. 2010
270			_a05/07/2010 ; 05/07/2010
300			_a12 p. ; 103-114
520			_aTranscripción del resumen del autor. To benchmark a hybrid vehicle’s Energy Management Strategy (EMS) usually a given, often certified, velocity trajectory is exploited. In this paper it is reasoned that it is also beneficial to optimize the velocity trajectory. Especially optimizing the vehicle braking trajectories, through maximization of energy recuperation, results in considerable fuel savings on the same traveled distance. Given future route (target velocities as function of traveled distance/location), traffic, and possibly weather information, together with the vehicle’s road load parameters, the future power request trajectory can be estimated. Dynamic Programming (DP) techniques can then be used to predict the optimal power split trajectory for the upcoming route, such that a desired state-of-charge at the end of the route is reached. The DP solution is re-calculated at a certain rate in order to adapt to changing conditions, e.g., traffic conditions, and used in a lower level real-time EMS to guarantee both battery state-of-charge as well as minimal fuel consumption.
581			_a1
773	0		_tOil and Gas Science and Technology _g65
942			_cARTICULO
100	1		_aVan Keulen, T. _943449
100	1		_aDe Jager, B. _943450
100	1		_aSerrarens, A. _943451
999			_c171728 _d171728