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

被引：0

作者：

Carbone, Paolo ^{[1
]}

De Angelis, Alessio ^{[1
]}

Marracci, Mirko ^{[2
]}

Tellini, Bernardo ^{[2
]}

Traverso, Pier Andrea ^{[3
]}

Crescentini, Marco ^{[4
]}

Brunacci, Valerio ^{[1
]}

Santoni, Francesco ^{[1
]}

Moschitta, Antonio ^{[1
]}

机构：

[1] Univ Perugia, Engn Dept, Via G Duranti 93, I-06125 Perugia, Italy

[2] Univ Pisa, Engn Dept, I-56122 Pisa, Italy

[3] Univ Bologna, Engn Dept, Viale Risorgimento 2, I-40136 Bologna, Italy

[4] Univ Bologna, Engn Dept, Via Univ 50, I-47521 Cesena, Italy

来源：

2024 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE, I2MTC 2024 | 2024年

关键词：

D O I：

10.1109/I2MTC60896.2024.10560991

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页数：6

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