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.


== Original document ==

The different versions of the original document can be found in:

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: [http://dx.doi.org/10.1016/j.energy.2017.07.009 http://dx.doi.org/10.1016/j.energy.2017.07.009] under the license https://www.elsevier.com/tdm/userlicense/1.0/

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: [https://doi.org/10.1016/j.energy.2017.07.009 https://doi.org/10.1016/j.energy.2017.07.009],
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* [https://www.sciencedirect.com/science/article/abs/pii/S0360544217311830 https://www.sciencedirect.com/science/article/abs/pii/S0360544217311830],
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: [https://academic.microsoft.com/#/detail/2729272455 https://academic.microsoft.com/#/detail/2729272455]