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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Proceedings ArticleDOI
Flexibility Reward Scheme for Grid-Friendly Electric Vehicle Charging in the Distribution Power Grid
TL;DR: A simulation-driven approach is described to obtain the grid-friendliness factor, as well as the required communication between the CSP and the Distribution System Operator (DSO).
Proceedings ArticleDOI
Nonlinear analysis of a HEV power/drive-train dynamic performance and control
TL;DR: A rigorous analysis is developed in which the nonlinear model of the complete system is considered and the whole system is analyzed in detail by using Lyapunov-based methods, providing as simple as possible cascaded mode PI control schemes.
Dissertation
Real-time optimal control of a low consumption electric vehicle.
TL;DR: In this article, the authors proposed a Model Predictive Control (MPC) tracking strategy based on a linearised model around an operating point for an electric vehicle prototype that must achieve a minimal energetic consumption.
Proceedings ArticleDOI
Economic impact of the energy management applied on fuel cell based vehicles with undersized and oversized secondary energy sources
TL;DR: In this paper, the authors quantified both the hydrogen and electricity savings and their economic impact along an 8h working day, when power management is applied and when it is not, with the aim of analyzing the impact of the energy management techniques.
References
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