@inproceedings{c61b6c7af00846038cdde1ff3b79a891,
title = "Establishment and Testing Verification of Traction Battery Second-Order Resistor{\textendash}Capacitor Digital Twin Model Based on Hybrid Pulse Power Characterization Test",
abstract = "Comprehensive traction battery testing and status monitoring capabilities have received widespread attention. However, obtaining more information through extensive parameter extraction and analysis while ensuring efficiency has become a significant challenge. The actual hybrid pulse power characterization (HPPC) test data of eight different types of lithium-ion traction batteries were collected and analyzed. This study identifies key parameters that effectively characterize the performance of traction batteries under different states of charge and builds a second-order resistor{\textendash}capacitor (RC) equivalent circuit model. The Kalman filter algorithm was used to estimate the state of charge (SOC) of the battery, and the virtual simulation test results were compared with the actual bench test results. The results showed that the maximum voltage error was from 0.025 to 0.039 V, indicating that the simulation model effectively characterized the working characteristics of the actual batteries. The second-order RC digital twin model can replace actual batteries for virtual testing.",
keywords = "Digital twin battery, HPPC test, Parameter identification, SOC estimation, Second-order RC model",
author = "Yan Gao and Pengfei Yan and Fang Wang and Xiaole Ma and Weina Wang and Yifan Liu",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.; UNIfied Conference of International Workshop on Defence Applications of Multi-Agent Systems, DAMAS 2023, International Conference on Maintenance Engineering, IncoME-V 2023, International conference on the Efficiency and Performance Engineering Network, TEPEN 2023 ; Conference date: 29-08-2023 Through 01-09-2023",
year = "2024",
doi = "10.1007/978-3-031-49421-5\_16",
language = "English",
isbn = "9783031494208",
series = "Mechanisms and Machine Science",
publisher = "Springer Science and Business Media B.V.",
pages = "191--219",
editor = "Ball, \{Andrew D.\} and Zuolu Wang and Huajiang Ouyang and Sinha, \{Jyoti K.\}",
booktitle = "Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023) - Volume 2",
address = "Germany",
}