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A Real-Time Energy Management Architecture for Multisource Electric Vehicles.

Bibliographic Details
Title: A Real-Time Energy Management Architecture for Multisource Electric Vehicles.
Authors: Trovao, Joao Pedro F., Santos, Victor D. N., Antunes, Carlos Henggeler, Pereirinha, Paulo G., Jorge, Humberto M.
Source: IEEE Transactions on Industrial Electronics; May2015, Vol. 62 Issue 5, p3223-3233, 11p
Subject Terms: Electric vehicles, Hardware-in-the-loop simulation, Engineering systems -- Computer simulation, Electrical engineering, Motor vehicle driving
Abstract: This paper presents an energy management architecture for small urban electric vehicles based on hybrid energy sources and its real-time implementation. The energy management strategy uses an integrated rule-based metaheuristic approach to obtain solutions for sharing energy and power between two sources with different characteristics, namely, one with high specific energy and another with high specific power. A comprehensive real-time architecture for the energy management system is presented considering different management levels. The proposed approach determines an optimized real-time energy sharing between the sources without prior knowledge of the power demand profile. The multilevel energy management strategy has been validated using power-level reduced-scale hardware-in-the-loop simulations for a normalized urban driving cycle. The experimental results show the effectiveness of a real-time implementation based on particle swarm optimization supported by a set of rules restricting the search space. This strategy is effective in controlling the energy sources to work in their higher efficiency region and in satisfying the dynamic performance of the vehicle. [ABSTRACT FROM PUBLISHER]
Copyright of IEEE Transactions on Industrial Electronics is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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DbLabel: Complementary Index
An: 102086946
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PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 837.157348632813
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  Label: Title
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  Data: A Real-Time Energy Management Architecture for Multisource Electric Vehicles.
– Name: Author
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  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Trovao%2C+Joao+Pedro+F%2E%22">Trovao, Joao Pedro F.</searchLink><br /><searchLink fieldCode="AR" term="%22Santos%2C+Victor+D%2E+N%2E%22">Santos, Victor D. N.</searchLink><br /><searchLink fieldCode="AR" term="%22Antunes%2C+Carlos+Henggeler%22">Antunes, Carlos Henggeler</searchLink><br /><searchLink fieldCode="AR" term="%22Pereirinha%2C+Paulo+G%2E%22">Pereirinha, Paulo G.</searchLink><br /><searchLink fieldCode="AR" term="%22Jorge%2C+Humberto+M%2E%22">Jorge, Humberto M.</searchLink>
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  Data: IEEE Transactions on Industrial Electronics; May2015, Vol. 62 Issue 5, p3223-3233, 11p
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Electric+vehicles%22">Electric vehicles</searchLink><br /><searchLink fieldCode="DE" term="%22Hardware-in-the-loop+simulation%22">Hardware-in-the-loop simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Engineering+systems+--+Computer+simulation%22">Engineering systems -- Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Electrical+engineering%22">Electrical engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Motor+vehicle+driving%22">Motor vehicle driving</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This paper presents an energy management architecture for small urban electric vehicles based on hybrid energy sources and its real-time implementation. The energy management strategy uses an integrated rule-based metaheuristic approach to obtain solutions for sharing energy and power between two sources with different characteristics, namely, one with high specific energy and another with high specific power. A comprehensive real-time architecture for the energy management system is presented considering different management levels. The proposed approach determines an optimized real-time energy sharing between the sources without prior knowledge of the power demand profile. The multilevel energy management strategy has been validated using power-level reduced-scale hardware-in-the-loop simulations for a normalized urban driving cycle. The experimental results show the effectiveness of a real-time implementation based on particle swarm optimization supported by a set of rules restricting the search space. This strategy is effective in controlling the energy sources to work in their higher efficiency region and in satisfying the dynamic performance of the vehicle. [ABSTRACT FROM PUBLISHER]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of IEEE Transactions on Industrial Electronics is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1109/TIE.2014.2376883
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 11
        StartPage: 3223
    Subjects:
      – SubjectFull: Electric vehicles
        Type: general
      – SubjectFull: Hardware-in-the-loop simulation
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      – SubjectFull: Engineering systems -- Computer simulation
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      – SubjectFull: Electrical engineering
        Type: general
      – SubjectFull: Motor vehicle driving
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              Text: May2015
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