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Modeling the Battery Pack in an Electric Car Based on Real-Time Time-Domain Data

Title: Modeling the Battery Pack in an Electric Car Based on Real-Time Time-Domain Data
Authors: Carbone P.; De Angelis A.; Marracci M.; Tellini B.; Traverso P. A.; Crescentini M.; Brunacci V.; Santoni F.; Moschitta A.
Contributors: Carbone, P.; De Angelis, A.; Marracci, M.; Tellini, B.; Traverso, P. A.; Crescentini, M.; Brunacci, V.; Santoni, F.; Moschitta, A.
Publisher Information: Institute of Electrical and Electronics Engineers Inc.
Publication Year: 2024
Collection: IRIS Università degli Studi di Perugia
Description: This paper illustrates circuital and rational functions models for the identification of the impedance of series-parallel connection of rechargeable batteries, using unevenly sampled time-domain data. Three circuital- and one-zero, two-pole rational function models are considered. Model parameters are identified using constrained minimization based on time-domain data. Approaches are validated using voltage and current signals sampled in a battery pack of a commercial car, collected during a long journey. It is shown that time-domain identification can be performed when the battery is functional and that model parameters exhibit a stationary behavior.
Document Type: conference object
Language: English
Relation: info:eu-repo/semantics/altIdentifier/wos/WOS:001261521400234; ispartofbook:Conference Record - IEEE Instrumentation and Measurement Technology Conference; 2024 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2024; firstpage:1; lastpage:6; numberofpages:6; serie:CONFERENCE PROCEEDINGS - IEEE INSTRUMENTATION/MEASUREMENT TECHNOLOGY CONFERENCE; https://hdl.handle.net/11391/1587547
DOI: 10.1109/I2MTC60896.2024.10560991
Availability: https://hdl.handle.net/11391/1587547; https://doi.org/10.1109/I2MTC60896.2024.10560991
Accession Number: edsbas.D2133216
Database: BASE