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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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Journal ArticleDOI

Battery peak power shaving strategy to prolong battery life for electric buses

TL;DR: In this paper, a battery peak power shaving strategy for battery electric buses is presented, which restricts the battery charge/discharge power when the propulsion power demand is high to avoid high deterioration of the battery capacity during operation.
Book ChapterDOI

Model-Based Optimal Energy Management Strategies for Hybrid Electric Vehicles

TL;DR: An analytical supervisory controller is designed that ensures stability, optimality with respect to fuel consumption, ease of implementation in real-time application, fast execution and low control parameter sensitivity in the optimal energy management problem over an infinite time horizon.

PowerManagement Strategies for aFuelCell! Supercapacitor Electric Vehicle

TL;DR: In this article, the authors proposed three methods to manage supercapacitor and voltage variation in a fuel cell powered electric vehicle by using the vehicle speed, state of charge of SC and clink voltage control.

Study of challenges in technology development and market penetration of hybrid electric vehicles in Canada

Mariam Khan
TL;DR: In this paper, the authors discuss the immediate need for Canada to adopt more efficient and eco-friendly transportation systems and analyzes the cost effectiveness and tailpipe emissions of HEVs that offer a suitable alternative.
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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