TY - GEN
T1 - Nonlinear modeling of all-solid-state battery technology based on Hammerstein-Wiener systems
AU - Firouz, Yousef
AU - Van Mierlo, Joeri
AU - Van Den Bossche, Peter
AU - Katoh, Yuki
PY - 2019/10
Y1 - 2019/10
N2 - All-solid-state battery technology are one of the promising competitors of current liquid electrolyte-based lithium ion batteries due to high energy density characteristic. However, due to low ionic conductivity of solid materials, all-solid-state batteries become hot topic for research. In this paper we have developed a methodology based on block-oriented nonlinear system that is able to detect, quantize and model the battery voltage distortion. Two solid-state coin cell with different ionic conductivity at cathode interface are manufactured and excited with multisine signal. The Best Linear Approximation (BLA) method has been used to separate linear frequency response function (FRF) from nonlinear distortion which have been modeled with structural nonlinear modeling technique.
AB - All-solid-state battery technology are one of the promising competitors of current liquid electrolyte-based lithium ion batteries due to high energy density characteristic. However, due to low ionic conductivity of solid materials, all-solid-state batteries become hot topic for research. In this paper we have developed a methodology based on block-oriented nonlinear system that is able to detect, quantize and model the battery voltage distortion. Two solid-state coin cell with different ionic conductivity at cathode interface are manufactured and excited with multisine signal. The Best Linear Approximation (BLA) method has been used to separate linear frequency response function (FRF) from nonlinear distortion which have been modeled with structural nonlinear modeling technique.
KW - All-solid-state battery
KW - block-oriented systems
KW - Hammerstein- Wiener model
KW - multisine excitation
UR - http://www.scopus.com/inward/record.url?scp=85084683909&partnerID=8YFLogxK
U2 - 10.1109/EPEC47565.2019.9074779
DO - 10.1109/EPEC47565.2019.9074779
M3 - Conference paper
AN - SCOPUS:85084683909
T3 - 2019 IEEE Electrical Power and Energy Conference, EPEC 2019
BT - 2019 IEEE Electrical Power and Energy Conference, EPEC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE Electrical Power and Energy Conference, EPEC 2019
Y2 - 16 October 2019 through 18 October 2019
ER -