TY - GEN
T1 - A comparative study on fractional order models for voltage simulation of lithium ion batteries
AU - Xiong, Rui
AU - Tian, Jinpeng
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/4
Y1 - 2019/4
N2 - Lithium ion battery models play an important role in the battery management system of electric vehicles. Recently, fractional order modelling has drawn more attention due to the high accuracy and adjustable computational burden. Plenty of fractional order battery models have been proposed for voltage simulation and state estimation. Although they have been proved to be more accurate than traditional equivalent circuit models, there is no study comparing existing fractional order models. In this work, fractional order models used for voltage simulation and state estimation in literature have been summarized and compared. They are identified under different temperatures and ageing statuses, and the parameterized models are then validated using different profiles. The computational burden is also analyzed to find the best fractional order model. The results show that not the most complex fractional order models originating from impedance spectra fitting is not applicable for time domain simulation, and the difference between impedance spectra fitting and time domain simulation can't be ignored.
AB - Lithium ion battery models play an important role in the battery management system of electric vehicles. Recently, fractional order modelling has drawn more attention due to the high accuracy and adjustable computational burden. Plenty of fractional order battery models have been proposed for voltage simulation and state estimation. Although they have been proved to be more accurate than traditional equivalent circuit models, there is no study comparing existing fractional order models. In this work, fractional order models used for voltage simulation and state estimation in literature have been summarized and compared. They are identified under different temperatures and ageing statuses, and the parameterized models are then validated using different profiles. The computational burden is also analyzed to find the best fractional order model. The results show that not the most complex fractional order models originating from impedance spectra fitting is not applicable for time domain simulation, and the difference between impedance spectra fitting and time domain simulation can't be ignored.
KW - Electric vehicles
KW - Fractional order model
KW - Lithium ion batteries
UR - http://www.scopus.com/inward/record.url?scp=85068955466&partnerID=8YFLogxK
U2 - 10.1109/VTCSpring.2019.8746351
DO - 10.1109/VTCSpring.2019.8746351
M3 - Conference contribution
AN - SCOPUS:85068955466
T3 - IEEE Vehicular Technology Conference
BT - 2019 IEEE 89th Vehicular Technology Conference, VTC Spring 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 89th IEEE Vehicular Technology Conference, VTC Spring 2019
Y2 - 28 April 2019 through 1 May 2019
ER -