... using a dynamic programming approach to minimize acceleration duration and energy consumption. Simulation results show that, with the proposed strategy, the energy loss during the acceleration can be reduced by up to 15%. e-mail:  ziyou.songthu@gmail.com e-mail:  dujiuyu@tsinghua.edu.cn 28...

... approach was selected to obtain the globally optimal solution, and the results showed that significant reductions in emissions can be achieved at a small loss of fuel economy. 07 12 2009 19 05 2010 11 11 2011 11 11 2011 air pollution control catalysis dynamic programming...

... captures the key dynamics in the clutch fill process, is constructed and analyzed. Second, the applicability of the conventional numerical dynamic programming (DP) method to the clutch fill control problem, which has a stiff dynamic model, is explored and shown to be ineffective. Thus, we proposed...

...Lorenzo Serrao; Simona Onori; Giorgio Rizzoni This paper presents a formalization of the energy management problem in hybrid electric vehicles and a comparison of three known methods for solving the resulting optimization problem. Dynamic programming (DP), Pontryagin’s minimum principle (PMP...

... the clutch fill process. By analyzing the dynamics of the system, it is found that the desired performance can be realized by a proper design of the capsule inner wall profile. To this end, a robust design for the ball capsule system with variable slope angles using the dynamic programming method is proposed...

... equations using Pontryagin’s minimum principle or the Hamilton–Jacobi–Bellman partial differential equation using dynamic programming in one unified framework. In addition, the differential transformation algorithm can efficiently solve optimal control problems with the piecewise continuous dynamics...

... be retained throughout the optimization. Dynamic programming (DP) is such a method. This paper will outline the development of the DP algorithm for a discrete time system as well as its application to the rapid transport of a doubly suspended payload, a nonlinear system. The system consists of a long slender...

... on the Markov chain modeling and stochastic dynamic programming (SDP). The driver demand is modeled as a Markov process to represent the future uncertainty under diverse driving conditions. The infinite-horizon SDP solution generates a stationary state-feedback control policy to achieve optimal power management...

... the model may be used, dynamic programing is applied to determine the optimal trade-off of NO x conversion efficiency versus quantity of injected hydrocarbons. A cv cs area of generalized exhaust element void cross section, m 2 C p fg exhaust gas specific heat...

... through traditional approaches, which are intensive in hardware use and final control software calibration. This paper explores the use of Dynamic Programming to make model-based design decisions for a lean burn, direct injection spark ignition engine, in combination with a three way catalyst...