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
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Trip Based Near Globally Optimal Power Management of Plug-in Hybrid Electric Vehicles Using Gas-Kinetic Traffic Flow Model
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Adaptive ECMS: a Causal Set-theoretic Method for Equivalence Factor Estimation∗
TL;DR: In this article, the equivalence factor in the equivalent consumption minimization strategies (ECMS) is estimated using an online estimation procedure, where the estimation procedure localizes a nonincreasing interval containing the correct equivalence factors.
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Optimal energy management for hybrid electric aircraft
TL;DR: It is shown that an optimisation-based control strategy can provide significant fuel savings over heuristic energy management strategies in this context and be used to define a predictive energy management control law.
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Development of route information based driving control algorithm for a range-extended electric vehicle
TL;DR: In this paper, a route information based driving control algorithm was developed for an RE-EV which consists of two motorgenerators, MG1 and MG2, for an optimization process using route information, such as vehicle velocity and altitude.
References
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