Energy management strategies for vehicular electric power systems
Mwt Michiel Koot,J.T.B.A. Kessels,B. de Jager,Wpmh Maurice Heemels,P.P.J. van den Bosch,M Maarten Steinbuch +5 more
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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.read more
Citations
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Journal ArticleDOI
Alternator Torque Model Based on Equivalent Circuit of Synchronous Generator for Electric Power Management
TL;DR: This paper presents an alternator model suitable for electric power management research that estimates the alternator driving torque under various driving conditions, such as engine speed, output current, and generation voltage.
Book ChapterDOI
Vehicle Power Management: Basic Concepts
TL;DR: This chapter focuses on fundamentals and basic concepts of vehicle power management, containing energy consuming effects and vehicle performance, and description of major software tools for structural optimization and verification of control strategies in vehicles.
Proceedings ArticleDOI
Assessing the potential of prediction in energy management for ancillaries in heavy-duty trucks
TL;DR: Preliminary results from this investigation indicate that simple suboptimal control laws can yield close to the same improvements in fuel efficiency as a predictive controller, when compared to a baseline control law.
Proceedings ArticleDOI
A data-driven predictive energy management strategy for plug-in hybrid vehicles
TL;DR: In this article, a data-driven, online energy management strategy that is based on a trip and speed profile prediction for a receding horizon, which takes personal points of interest or upcoming charging stations into consideration, is presented.
References
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