Using a Multiobjective Approach to Compare Multiple Design Alternatives—An Application to Battery Dynamic Model Tuning

Autor: Pajares-Ferrando, Alberto, Blasco, Xavier, Herrero Durá, Juan Manuel, Simarro Fernández, Raúl
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Battery (electricity)
Engineering
Mathematical optimization
Control and Optimization
Process (engineering)
Energy Engineering and Power Technology
02 engineering and technology
Multi-objective optimization
lcsh:Technology
concept evaluation
0202 electrical engineering
electronic engineering
information engineering
multiobjective optimization
Electrical and Electronic Engineering
Engineering (miscellaneous)
Multiobjective optimization
Structure (mathematical logic)
Renewable Energy
Sustainability and the Environment
business.industry
lcsh:T
battery model
Model selection
020208 electrical & electronic engineering
Work (physics)
Battery model
INGENIERIA DE SISTEMAS Y AUTOMATICA
Term (time)
Concept evaluation
Identification (information)
020201 artificial intelligence & image processing
business
Energy (miscellaneous)
Zdroj: Energies, Vol 10, Iss 7, p 999 (2017)
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
Energies; Volume 10; Issue 7; Pages: 999
ISSN: 1996-1073
Popis: [EN] 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.
This work was partially supported by the Ministerio de Economia y Competitividad (Spain), Grant Numbers: DPI2015-71443-R and FPU15/01652.
Databáze: OpenAIRE
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