Abstract
A design problem is usually solvable in different ways or by design alternatives. In this work, the term “concept” is used to refer to the design alternatives. Additionally, it is quite common that a design problem has to satisfy conflicting objectives. In these cases, the design problem can be formulated as a multiobjective optimization problem (MOP). One of the aims of this work was to show how to combine multiobjective requirements with concepts’ comparisons, in order to attain a satisfactory design. The second aim of this work was to take advantage of this methodology to obtain a battery model that described the dynamic behavior of the main electrical variables. Two objectives related to the model accuracy during the charge and discharge processes were used. In the final model selection, three different concepts were compared. These concepts differed in the complexity of their model structure. More complex models usually provide a good approximation of the process when identification data are used, but the approximation could be worse when validation data are applied. In this article, it is shown that a model with an intermediate complexity supplies a good approximation for both identification and validation data sets.
Highlights
Many technical problems have different possible solutions and it is not always obvious which one is the best
The use of concepts, combined with multiobjective techniques, enables a designer to simultaneously compare the performance of various design concepts with respect to the desired objectives
As an example of an application, this methodology was applied to the development of a battery model
Summary
Many technical problems have different possible solutions and it is not always obvious which one is the best. In the literatures [1,2], these viable solutions are called “concepts”. In this context, a multiobjective optimization approach can help designers with the decision-making process. As an example of an application of this methodology, this work explored the development and tuning of a dynamic model for an electric battery. When it comes to finding a range of feasible models, different techniques can be applied [3]. Proposing concepts allows us to compare different model structures, and to choose the best one according to the designer preferences.
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