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Applied Energy
Article . 2016 . Peer-reviewed
License: Elsevier TDM
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Comparison of energy management strategies of a battery/supercapacitors system for electric vehicle under real-time constraints

Authors: Alain Bouscayrol; Rochdi Trigui; Ali Castaings; Ali Castaings; Walter Lhomme;

Comparison of energy management strategies of a battery/supercapacitors system for electric vehicle under real-time constraints

Abstract

Abstract The paper deals with real-time energy management strategies for a hybrid energy storage system including a battery and supercapacitor for an electric vehicle. Besides efficiency concerns, a key issue for real-time applications is ensuring safe operations for the considered system. In such a system it is mandatory to limit the supercapacitor voltage by the energy management strategy to comply with efficiency and safety constraints. An optimisation-based strategy (λ-control) and a rule-based strategy (filtering) are compared in this paper. The active limitation of the supercapacitor voltage is ensured in both strategies. Experimental results show that the two strategies have equivalent performances under real-driving cycles not known in advance. A difference of 2% between the strategies on the battery current root mean square value is shown. By varying the desired supercapacitor voltage range, the results show that the λ-control is better-suited for a high supercapacitor voltage range whereas the filtering gives the best performances for a low supercapacitor voltage range.

Country
France
Keywords

ELECTRIC VEHICLE, OPTIMISATION, REAL-TIME, [SPI.NRJ]Engineering Sciences [physics]/Electric power, ENERGIE, STOCKAGE, [ SPI.NRJ ] Engineering Sciences [physics]/Electric power, EXPERIMENTAL TEST, ENERGY MANAGEMENT, ENERGY STORAGE, VEHICULE ELECTRIQUE, [SPI.NRJ] Engineering Sciences [physics]/Electric power

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    240
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 0.1%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
240
Top 1%
Top 1%
Top 0.1%