Linear quadratic air-path control for diesel engines with regenerative and assisted turbocharger

Zeng, Tao; Upadhyay, Devesh; Zhu, Guoming

doi:10.1109/cdc.2017.8263671

Cited by 1 publication

(1 citation statement)

References 8 publications

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“…The optimal energy management methods, such as dynamic programming [12], [13], [14], Pontryagin's principle [15], linear quadratic [16],… use optimization technics to find the best repartition of power between the energy sources. To do so, the problem needs to be formulated in a specific way: it is necessary to determine an objective function (to minimize or maximize), and eventually constraints (equalities or inequalities).…”

Section: Solvingmentioning

confidence: 99%

Sizing method by optimization with energy management – Application to electrical hybrid train

Poline

Gerbaud

Pouget

et al. 2019

JAE

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In France, most of the trains are electrical and some are fed by 1500V DC voltage. When a train is travelling, the power consumption creates a voltage drop. Therefore, below a certain limit, the train has to slow down its speed. This limitation prevents the increase of traffic in some area which needs an electric reinforcement. This paper proposes to use embedded storage systems to support the voltage of the catenary. The main issue is: how to size such an energy storage system? In this way, several aspects (e.g.: the energy management strategy) have to be taken into account. The paper deals with an optimization-based sizing method for the embedded energy storage systems. The proposed method takes into account the energy management strategy in the sizing by optimization. A comparison is made between the use of batteries or supercapacitors.

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Section: Solvingmentioning

confidence: 99%