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

被引：20

作者：

Pinto, Claudio ^{[1
,2
]}

Barreras, Jorge V. ^{[3
]}

de Castro, Ricardo ^{[4
]}

Araujo, Rui Esteves ^{[1
,2
]}

Schaltz, Erik ^{[5
]}

机构：

[1] Univ Porto, INESC TEC, P-4200465 Oporto, Portugal

[2] Univ Porto, Fac Engn, P-4200465 Oporto, Portugal

[3] Univ Oxford, Dept Engn Sci, Oxford OX1 3PJ, England

[4] German Aerosp Ctr DLR, Inst Syst Dynam & Control, D-82234 Wessling, Germany

[5] Aalborg Univ, Dept Energy Technol, DK-9220 Aalborg, Denmark

来源：

ENERGY | 2017年 / 137卷

基金：

“创新英国”项目;

关键词：

Lithium batteries; Supercapacitors; Design optimization; Energy management; Electric vehicles; Dynamic programming; ENERGY-STORAGE SYSTEM; POWER MANAGEMENT; OPTIMIZATION; DESIGN;

D O I：

10.1016/j.energy.2017.07.009

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

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 super capacitor) 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. (C) 2017 Elsevier Ltd. All rights reserved.

引用

页码：272 / 284

页数：13

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