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Open AccessJournal ArticleDOI

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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Citations
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Proceedings ArticleDOI

Optimization of Economy Shift Schedule for a Hybrid Electric Vehicle with Automated Manual Transmission

TL;DR: In this paper, a self-developed parallel hybrid electric vehicle (HEV) is simulated using the dynamic programming global optimization algorithm, and the shift schedule for a HEV automated manual transmission is studied.
Journal ArticleDOI

Simulative Assessment of Novel Parallel-Hybrid-Electric Powertrains: Consideration of Transmission System Power Losses

TL;DR: A method to automatically model the power losses of novel parallel-hybrid-electric powertrains based on a mathematical analysis and a design analysis, and obtains the transmission power losses as a function of the selected transmission mode, the rotational speed of the wheels, and the torques of the power sources.
Dissertation

Effective simulation model and new control strategy to improve energy efficiency in hybrid electric land vehicle

Zainab Asus
TL;DR: In this article, an effective modeling method for an easy deployment of a control strategy, to review and study an optimal control strategy for a specific application, and to analyze improvement that can be effected to engine for better efficiency in hybrid vehicle architecture.
Book ChapterDOI

Real-Time Implementable Strategies

TL;DR: This chapter provides a supervisory control algorithm that deals with the balanced generation and re-use of stored energy using the powersplit between engine and electric machine as control variable taking into account only real-time available information.
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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