Online full-parameter identification and SOC estimation of lithium-ion battery pack based on composite electrochemical-dual circuit polarization modeling.

Shi, Haotian; Wang, Shunli; Fernandez, Carlos; Yu, Chunmei; Fan, Yongcun; Cao, Wen

Abstract

A new composite electrochemistry-dual circuit polarization model (E-DCP) is proposed by combining the advantages of various electrochemical empirical models in this paper. Then, the multi-innovation least squares (MILS) algorithm is used to perform online full parameter identification for the E-DCP model in order to improve data usage efficiency and parameter identification accuracy. In addition, on the basis of the E-DCP model, the MILS and the extended Kalman filter (EKF) are combined to enhance the state estimation accuracy of the battery management system (BMS). Finally, the model and the algorithm are both verified through urban dynamometer driving schedule (UDDS) and the complex charge-discharge loop test. The results indicate that the accuracy of E-DCP is relatively high under different working conditions, and the errors of state of charge (SOC) estimation after the combination of MILS and EKF are all within 2.2%. This lays a concrete foundation for practical use of the BMS in the future.

Citation

SHI, H., WANG, S., FERNANDEZ, C., YU, C., FAN, Y. and CAO, W. 2021. Online full-parameter identification and SOC estimation of lithium-ion battery pack based on composite electrochemical-dual circuit polarization modeling. IOP conference series: earth and environmental science [online], 675: proceedings of 5th Energy engineering and environmental protection international conference 2020 (EEEP 2020), 17-19 November 2020, [virtual conference], article 012192. Available from: https://doi.org/10.1088/1755-1315/675/1/012192

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 5th Energy engineering and environmental protection international conference 2020 (EEEP 2020)
• Acceptance Date: Feb 5, 2021
• Online Publication Date: Mar 4, 2021
• Publication Date: Mar 31, 2021
• Deposit Date: Mar 25, 2021
• Publicly Available Date: Mar 25, 2021
• Journal: IOP Conference Series: Earth and Environmental Science
• Print ISSN: 1755-1307
• Electronic ISSN: 1755-1315
• Publisher: IOP Publishing
• Peer Reviewed: Peer Reviewed
• Volume: 675
• Article Number: 012192
• DOI: https://doi.org/10.1088/1755-1315/675/1/012192
• Keywords: Electrochemistry-dual circuit polarization (E-DCP); Multi-innovation least squares (MILS); Extended Kalman filter (EKF); Battery management system (BMS); Urban dynamometer driving schedule (UDDS); State of charge (SOC)
• Public URL: https://rgu-repository.worktribe.com/output/1280341