 Study on the combined influence of battery models and sizing strategy for hybrid and battery-based electric vehiclesCláudio Pinto, Jorge V. Barreras, Ricardo de Castro, Rui Esteves Araújo and Erik Schaltz Energy, 2017, vol. 137, issue C, 272-284 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: Lithium batteries; Supercapacitors; Design optimization; Energy management; Electric vehicles; Dynamic programming (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:137:y:2017:i:c:p:272-284 DOI: 10.1016/j.energy.2017.07.009 Access Statistics for this article Energy is currently edited by Henrik Lund and Mark J. Kaiser More articles in Energy from Elsevier |
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