TY - GEN
T1 - Accelerated Aging Test Method of Lithium-Ion Batteries Featured with Aging Feature Reconstruction
AU - Zhang, Yinyao
AU - Dong, Lei
AU - Yang, Geng
AU - Li, Jiao Jiao
AU - Wang, Baoji
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Accelerated aging test (AAT) is required to efficiently evaluate the operating life of lithium-ion batteries (LiB). It can partially substitute traditional aging test which typically lasts for thousands of LiB charge/discharge cycles. A practical AAT should consider the operation condition features (OCF) in its aging models, such as charge/discharge rate, ambient temperature, ampere-hour throughput and the time distribution of current rate (TDOCR). This paper proposes a new AAT method for optimizing both reduction in test time and TDOCR reconstruction. An algorithm is designed to ensure the OCF equivalence of the AAT profile and the operating profile. The limitations of aging stress threshold and the retention of TDOCR are mainly considered, and addressed by the segmented equal scaling method (SESM) of feature reconstruction. Based on the aging model featured by the Arrhenius formula, the validity of the method is verified with typical FUDS profile and NEDC profile.
AB - Accelerated aging test (AAT) is required to efficiently evaluate the operating life of lithium-ion batteries (LiB). It can partially substitute traditional aging test which typically lasts for thousands of LiB charge/discharge cycles. A practical AAT should consider the operation condition features (OCF) in its aging models, such as charge/discharge rate, ambient temperature, ampere-hour throughput and the time distribution of current rate (TDOCR). This paper proposes a new AAT method for optimizing both reduction in test time and TDOCR reconstruction. An algorithm is designed to ensure the OCF equivalence of the AAT profile and the operating profile. The limitations of aging stress threshold and the retention of TDOCR are mainly considered, and addressed by the segmented equal scaling method (SESM) of feature reconstruction. Based on the aging model featured by the Arrhenius formula, the validity of the method is verified with typical FUDS profile and NEDC profile.
KW - accelerated aging test
KW - aging feature reconstruction
KW - lithium-ion batteries
KW - segmented equal scaling
UR - http://www.scopus.com/inward/record.url?scp=85174249345&partnerID=8YFLogxK
U2 - 10.1109/IESES53571.2023.10253738
DO - 10.1109/IESES53571.2023.10253738
M3 - Conference contribution
AN - SCOPUS:85174249345
T3 - 2023 IEEE 3rd International Conference on Industrial Electronics for Sustainable Energy Systems, IESES 2023
BT - 2023 IEEE 3rd International Conference on Industrial Electronics for Sustainable Energy Systems, IESES 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd IEEE International Conference on Industrial Electronics for Sustainable Energy Systems, IESES 2023
Y2 - 26 July 2023 through 28 July 2023
ER -
