000			01608nab a2200205 4500
005			20260520002831.0
008			260224s2010 xxu
245	0	0	_aOn implementation of dynamic programming for optimal control problems with final state constraints
260			_a _b _cene./feb. 2010
270			_a05/07/2010 ; 05/07/2010
300			_a12 p. ; 91-102
520			_aTranscripción del resumen del autor. In this paper we present issues related to the implementation of dynamic programming for optimal control of a one-dimensional dynamic model, such as the hybrid electric vehicle energy management problem. A study on the resolution of the discretized state space emphasizes the need for careful implementation. A new method is presented to treat numerical issues appropriately. In particular, the method deals with numerical problems that arise due to high gradients in the optimal cost-to-go function. These gradients mainly occur on the border of the feasible state region. The proposed method not only enhances the accuracy of the final global optimum but also allows for a reduction of the state-space resolution with maintained accuracy. The latter substantially reduces the computational effort to calculate the global optimum. This allows for further applications of dynamic programming for hybrid electric vehicles such as extensive parameter studies.
581			_a1
773	0		_tOil and Gas Science and Technology _g65
942			_cARTICULO
100	1		_aSundström, O. _943446
100	1		_aAmbühl, D. _943447
100	1		_aGuzzella, L. _943448
999			_c171727 _d171727