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SIBALI project funded

FUNDED PROJECT

SIBALI project funded

2019·04·03

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SIBALI, Simulación de Baterías de Litio-ion project has been funded by the Ministry of Science and Innovation, within the call  "Retos Colaboración 2017, del Programa Estatal de Investigación, Desarrollo, e Innovación orientada a los retos de la sociedad, en el marco del Plan Estatal de Investigación, Científica y Técnica y de Innovación, 2013-2016". The objective of the call is to promote technological development, innovation and invetsigation of quality. Reference: RTC-2017-6538-3.

 

Description

The purpose of this project is focused on finding a new methodology for achieving suitable dimensioning of a storage system for a specific application using multi-physical simulation tools. To do this, we need to be capable of modelling the system because intuitive dimensioning or one based on independent variables is inviable. This modelling has several “layers” such as:

  • Electrical simulation: must be capable of reproducing the electrical behaviour of the lithium-ion batteries used. The simulation must be capable of working with different chemicals, types of batteries and different formats. It should also include the effect of combining several batteries in a Battery pack and the losses due to soldering, connection, etc.
  • Thermal simulation: must be capable of demonstrating the thermal behaviour of the batteries, especially in their integration in the Battery pack. This will facilitate the design of the pack as well as informing us about the cooling requirements in order to avoid accelerated degradation of the system.
  • Electrochemical simulation: predicting the degradation of the batteries due to cyclability or ageing is crucial to be able to assess the operating cost of the storage system. One way of analysis is accelerated testing of the battery, but this involves a lot of time and money. The second way is by understanding the inside of the battery and to do this we have to carry out modelling of its components.
  • System simulation: consists of the integration of the simulations of the different elements of a storage system (batteries, power and control electronics, enclosures) with special focus on their interfaces. This simulation would make it possible to also determine the need to hybridize different storage systems such as power and energy batteries, supercapacitors, etc. to propose an optimal system.
  • Economic simulation: all of the above would provide us with the optimal solution from the point of view of features, but the market also demands the best economic solution. The approach for this is economic dimensioning that makes it possible to obtain the optimum between features and cost.

 

 

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