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   TRACKSIM: A Multi-Level Simulation Framework for Near-Life Battery Data Generation   [View] 
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 Author(s)   Nicolai WEINREICH, Xin SUI, Remus TEODORESCU, Kim LARSEN 
 Abstract   Data-driven methods in the battery intelligence field are highly dependent on data similar to the targeted application. This paper introduces the multi-level simulation framework TRACKSIM as a tool to generate realistic synthetic battery cell data for training data-driven models. A use-case for State-Of-Health (SOH) estimation is presented. 
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Filename:0180-epe2025-full-17103133.pdf
Filesize:4.147 MB
 Type   Members Only 
 Date   Last modified 2025-08-31 by System