Battery asset management with cycle life prognosis

Liu, Xinyang; Zheng, Zhuoyuan; Büyüktahtakın, İ. Esra; Zhou, Zhi; Wang, Pingfeng

doi:10.1016/j.ress.2021.107948

Battery asset management with cycle life prognosis

Journal Article · Tue Aug 17 00:00:00 EDT 2021 · Reliability Engineering and System Safety

DOI:https://doi.org/10.1016/j.ress.2021.107948· OSTI ID:1895037

Liu, Xinyang ^[1]; Zheng, Zhuoyuan ^[1]; Büyüktahtakın, İ. Esra ^[2]; Zhou, Zhi ^[3]; Wang, Pingfeng ^[1]

University of Illinois at Urbana-Champaign, IL (United States)
New Jersey Institute of Technology, Newark, NJ (United States)
Argonne National Laboratory (ANL), Lemont, IL (United States)

We report Battery Asset Management problem determines the minimum cost replacement schedules for each individual asset in a group of battery assets that operate in parallel. Battery cycle life varies under different operating conditions including temperature, depth of discharge (DOD), charge rate, etc., and a battery deteriorates due to usage, which cannot be handled by current asset management models. This paper presents a new battery asset management methodology where battery cycle life prognosis is integrated with parallel asset management to reduce lifecycle cost of the Battery Energy Storage Systems (BESS). For the battery failure time prognosis, a nonlinear physics-based battery capacity fade model is developed and incorporated in parallel asset management model to update battery capacity over time. Experiment results have shown that the developed battery asset management methodology can be conveniently used to facilitate BESS asset management decision making thereby decreasing asset lifecycle costs.

View Accepted Manuscript (DOE)

Research Organization:: Argonne National Laboratory (ANL), Lemont, IL (United States)

Sponsoring Organization:: USDOE; National Science Foundation (NSF)

Grant/Contract Number:: AC02-06CH11357

OSTI ID:: 1895037

Journal Information:: Reliability Engineering and System Safety, Journal Name: Reliability Engineering and System Safety Vol. 216; ISSN 0951-8320

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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