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Dynamic optimization in multi-state systems for automobile efficiency

Name: Dynamic optimization in multi-state systems for automobile efficiency
Brand: LAP Lambert Academic Publishing
SKU: 9783659576287
Price: 65.84 EUR
Availability: InStock

Автор: Djamaleddine Maamria

Език:

Корици: С меки корици

Издател: LAP Lambert Academic Publishing

Наличност: Външен склад

Изпращаме след 8-11 дни

65.84 € 128.76 лв

Energy Management System (EMS) for Hybrid Electric Vehicles (HEVs) consists on determining the power...

Информация за книгата

Автор

Djamaleddine Maamria

Език

Английски език

Корици

Книга - С меки корици

Издадена

2016

страници

192

EAN

9783659576287

Enbook ID

02952218

Издател

LAP Lambert Academic Publishing

Теглоt

304

Размери

150 x 220 x 12

Пълно описание

Energy Management System (EMS) for Hybrid Electric Vehicles (HEVs) consists on determining the power split between the different energy sources available in order to minimize the overall fuel consumption and/or pollutant emissions of the vehicle. The objective in this work is to develop an EMS taking into account the internal temperatures (engine temperature and/or catalyst temperature). In a first part and using a prior knowledge of vehicle driving conditions, the EMS design is formulated as an optimal control problem. Then, the Pontryagin Minimum Principle (PMP) is used to solve this optimization problem. Based on the obtained numerical results, some trade-off between performance of the control strategy and complexity of the model used to calculate this strategy is established. The various problems studied in this work are examples of successive model simplifications which can be recast in the concept of regular perturbations in optimal control under input constraints. In a second part, the feedback law of ECMS is generalized to include thermal dynamics. This defines sub-optimal feedback strategies which we have tested and evaluated numerically and experimentally.

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Dynamic optimization in multi-state systems for automobile efficiency

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