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Energy management strategies for vehicular electric power systems

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TLDR
An extensive study on controlling the vehicular electric power system to reduce the fuel use and emissions, by generating and storing electrical energy only at the most suitable moments is presented.
Abstract
In the near future, a significant increase in electric power consumption in vehicles is expected. To limit the associated increase in fuel consumption and exhaust emissions, smart strategies for the generation, storage/retrieval, distribution, and consumption of electric power will be used. Inspired by the research on energy management for hybrid electric vehicles (HEVs), this paper presents an extensive study on controlling the vehicular electric power system to reduce the fuel use and emissions, by generating and storing electrical energy only at the most suitable moments. For this purpose, both off-line optimization methods using knowledge of the driving pattern and on-line implementable ones are developed and tested in a simulation environment. Results show a reduction in fuel use of 2%, even without a prediction of the driving cycle being used. Simultaneously, even larger reductions of the emissions are obtained. The strategies can also be applied to a mild HEV with an integrated starter alternator (ISA), without modifications, or to other types of HEVs with slight changes in the formulation.

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Book ChapterDOI

A Heuristic Approach to Design and Analyze the Hybrid Electric Vehicle Powertrain and Energy Transmission Systems

TL;DR: This paper models an efficient powertrain and energy transmission process for both series and parallel HEVs, which can contribute to the emission reduction process and compares the European standard of vehicle gas emission.
Journal ArticleDOI

Experimental assessment of an energy management strategy on a fuel cell hybrid vehicle

TL;DR: In this paper, an analytical solution to the energy management problem for fuel cell hybrid propulsion systems was derived and compared with existing strategies like the Equivalent Consumption Minimization Strategy (ECMS).

An Online Fuel Consumption and Emission Reduction Power Management Strategy for Plug-in Hybrid Electric Vehicles

TL;DR: In this article, an online power management strategy (PMS) for plug-in hybrid electric vehicles is presented, which has simple mathematics and excludes a priori knowledge of the driving cycle.
Journal ArticleDOI

Mission aware energy efficiency in stationary combat vehicles

TL;DR: The authors propose an approach to achieve energy efficiency in a stationary combat vehicle by operating the engine at a fuel-efficient speed to meet the vehicle load demand, and the results show a 15.7% efficiency improvement for combat mission scenarios.
Dissertation

Advanced control design tools for automotive applications

TL;DR: In this paper, the authors proposed two novel control approaches based on the Pontryagin's Minimum Principle in optimal control theory for the energy management of the vehicular electric power systems in a hybrid engine configuration.
References
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Book

Dynamic Programming and Optimal Control

TL;DR: The leading and most up-to-date textbook on the far-ranging algorithmic methododogy of Dynamic Programming, which can be used for optimal control, Markovian decision problems, planning and sequential decision making under uncertainty, and discrete/combinatorial optimization.
Book

Practical Methods of Optimization

TL;DR: The aim of this book is to provide a Discussion of Constrained Optimization and its Applications to Linear Programming and Other Optimization Problems.
Book

Predictive Control With Constraints

TL;DR: A standard formulation of Predictive Control is presented, with examples of step response and transfer function formulations, and a case study of robust predictive control in the context of MATLAB.
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