Titlebook: Optimal Control of Hybrid Vehicles; Bram Jager,Thijs Keulen,John Kessels Book 2013 Springer-Verlag London 2013 Energy Management.Hybrid Po

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Analytical Solution Methods,mples are used to introduce each solution concept. Next, analytical expressions will be derived that solve the optimal powersplit problem under consideration. This chapter ends with a summary for both solution concepts and demonstrates the coherence between their respective optimality conditions.

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1430-9491 cher, the text describes a novel solution for state-constraiOptimal Control of Hybrid Vehicles provides a description of power train control for hybrid vehicles. The background, environmental motivation and control challenges associated with hybrid vehicles are introduced. The text includes mathemat

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Introduction,ives for implementing hybrid technologies are an improvement in fuel economy and a reduction of exhaust gas emissions. The main hindrances are the added component complexity, the restrictions on the operational regime (optimality in the presence of constraints), and the associated cost. Some alterna

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Cyber-physical Modeling of Hybrid Vehicles,ve cycles). Models of limited complexity that are accurate enough for sizing problems, control design, and embedded control get the most attention. We prefer analytical models that allow further comprehensive analysis, and so provide a better integration between physical and computational processes.

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Numerical Solutions for Known Trajectories,ical solution methods are pursued: an indirect method that uses the necessary conditions for optimality obtained with Pontryagin’s Minimum Principle, and a direct method using the Dynamic Programming algorithm which is based on Bellman’s Principle of Optimality. Both methods are illustrated with an