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Communication Dans Un Congrès Année : 2018

Battery Modeling Using Real Driving Cycle and Big-Bang Big-Crunch Algorithm

Résumé

The purpose of this study is to model battery packs integrated in a ten fuel cell hybrid electric vehicle fleet developed among the European project Mobypost dedicated to postal delivery applications. This project led to create and feed a big database as the vehicles were deeply monitored. Thanks to this database and Big-Bang Big-Crunch optimization algorithm this paper proposes a method to model battery using real driving cycle data in few minutes with a NRMSE less than 0.02.
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Dates et versions

hal-02300488 , version 1 (29-09-2019)

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Citer

Loïc Vichard, Simon Morando, Alexandre Ravey, Fabien Harel, Pascal Venet, et al.. Battery Modeling Using Real Driving Cycle and Big-Bang Big-Crunch Algorithm. Transportation Electrification Conference and Expo, Jun 2018, Long Beach, CA, United States. ⟨10.1109/ITEC.2018.8449951⟩. ⟨hal-02300488⟩
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