01608nab a2200205 4500 20260520002831.0 260224s2010 xxu On implementation of dynamic programming for optimal control problems with final state constraints ene./feb. 2010 05/07/2010 ; 05/07/2010 12 p. ; 91-102 Transcripción 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. 1 Oil and Gas Science and Technology 65 ARTICULO Sundström, O. 43446 Ambühl, D. 43447 Guzzella, L. 43448 171727 171727 0 0 0 0 239546 BAAB BAAB 2026-03-05 200046595 0 200046595 2026-03-05 15:14:08 2026-03-05 ARTICULO