2017Linköping electronic conference proceedingsOpen access

Simulating a Variable-structure Model of an Electric Vehicle for Battery Life Estimation Using Modelica/Dymola and Python

Moritz Stüber

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Abstract

A variable-structure model (VSM) of a battery electric vehicle used for simulating the ageing of the battery pack is presented.The operating principle of the software used to simulate the models is described and a brief summary of the state of science and technology regarding the simulation of VSMs is given.By comparing the performance of the VSM to a conventional model, it is found that the simulation time does not necessarily decrease when replacing a model with a variable-structure version.However, the VSM has advantages regarding the handling of the result files and the possibility to analyse the results.

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A variable-structure model (VSM) of a battery electric vehicle used for simulating the ageing of the battery pack is presented.The operating principle of the software used to simulate the models is described and a brief summary of the state of science and technology regarding the simulation of VSMs is given.By comparing the performance of the VSM to a conventional model, it is found that the simulation time does not necessarily decrease when replacing a model with a variable-structure version.However, the VSM has advantages regarding the handling of the result files and the possibility to analyse the results.

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Available abstract

A variable-structure model (VSM) of a battery electric vehicle used for simulating the ageing of the battery pack is presented.The operating principle of the software used to simulate the models is described and a brief summary of the state of science and technology regarding the simulation of VSMs is given.By comparing the performance of the VSM to a conventional model, it is found that the simulation time does not necessarily decrease when replacing a model with a variable-structure version.However, the VSM has advantages regarding the handling of the result files and the possibility to analyse the results.

Key concepts: Modelica, Python (programming language), Battery (electricity), Computer science, Battery pack, Variable (mathematics), Software, Electric vehicle

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