Study on the combined influence of battery models and sizing strategy for hybrid and battery-based electric vehicles

Cláudio Pinto*, Jorge V. Barreras, Ricardo de Castro, Rui Esteves Araújo, Erik Schaltz

*Corresponding author

Research output: Contribution to journalJournal articleResearchpeer-review

8 Citations (Scopus)

Abstract

This paper presents a study of the combined influence of battery models and sizing strategy for hybrid and battery-based electric vehicles. In particular, the aim is to find the number of battery (and supercapacitor) cells to propel a light vehicle to run two different standard driving cycles. Three equivalent circuit models are considered to simulate the battery electrical performance: linear static, non-linear static and non-linear with first-order dynamics. When dimensioning a battery-based vehicle, less complex models may lead to a solution with more battery cells and higher costs. Despite the same tendency, when a hybrid vehicle is taken into account, the influence of the battery models is dependent on the sizing strategy. In this work, two sizing strategies are evaluated: dynamic programming and filter-based. For the latter, the complexity of the battery model has a clear influence on the result of the sizing problem. On the other hand, a modest influence is observed when a dynamic programming strategy is followed.
Original languageEnglish
JournalEnergy
Volume137
Pages (from-to)272-284
Number of pages13
ISSN0360-5442
DOIs
Publication statusPublished - Oct 2017

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Electric vehicles
Dynamic programming
Hybrid vehicles
Equivalent circuits
Costs

Keywords

  • Design optimization
  • Dynamic programming
  • Electric vehicles
  • Energy management
  • Lithium batteries
  • Supercapacitors

Cite this

Pinto, Cláudio ; Barreras, Jorge V. ; de Castro, Ricardo ; Araújo, Rui Esteves ; Schaltz, Erik. / Study on the combined influence of battery models and sizing strategy for hybrid and battery-based electric vehicles. In: Energy. 2017 ; Vol. 137. pp. 272-284.
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title = "Study on the combined influence of battery models and sizing strategy for hybrid and battery-based electric vehicles",
abstract = "This paper presents a study of the combined influence of battery models and sizing strategy for hybrid and battery-based electric vehicles. In particular, the aim is to find the number of battery (and supercapacitor) cells to propel a light vehicle to run two different standard driving cycles. Three equivalent circuit models are considered to simulate the battery electrical performance: linear static, non-linear static and non-linear with first-order dynamics. When dimensioning a battery-based vehicle, less complex models may lead to a solution with more battery cells and higher costs. Despite the same tendency, when a hybrid vehicle is taken into account, the influence of the battery models is dependent on the sizing strategy. In this work, two sizing strategies are evaluated: dynamic programming and filter-based. For the latter, the complexity of the battery model has a clear influence on the result of the sizing problem. On the other hand, a modest influence is observed when a dynamic programming strategy is followed.",
keywords = "Design optimization, Dynamic programming, Electric vehicles, Energy management, Lithium batteries, Supercapacitors",
author = "Cl{\'a}udio Pinto and Barreras, {Jorge V.} and {de Castro}, Ricardo and Ara{\'u}jo, {Rui Esteves} and Erik Schaltz",
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Study on the combined influence of battery models and sizing strategy for hybrid and battery-based electric vehicles. / Pinto, Cláudio; Barreras, Jorge V.; de Castro, Ricardo; Araújo, Rui Esteves; Schaltz, Erik.

In: Energy, Vol. 137, 10.2017, p. 272-284.

Research output: Contribution to journalJournal articleResearchpeer-review

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AU - Barreras, Jorge V.

AU - de Castro, Ricardo

AU - Araújo, Rui Esteves

AU - Schaltz, Erik

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