Reliability Evaluation and In-Orbit Residual Life Prediction for Satellite Lithium-Ion Batteries
Open accessAbstract
As a new type of secondary battery, lithium-ion battery is widely used in the aerospace industry with the advantages of long lifetime, high energy density and low pollution, etc. In this paper, we focus on the problem of offline and online life prediction for satellite lithium-ion batteries. Firstly, based on the NASA laboratory battery dataset, a Wiener process with time-scale transformation is used to capture battery capacity fading, and then the battery reliability point and interval estimation equation are derived, respectively. Secondly, by analyzing the charge and discharge profiles of the batteries in orbit environments, an accurate capacity prediction model is proposed based on the partial charging curves. Finally, the Bayesian framework is used to perform capacity degradation model online updating, and the analytical expression of residual life distribution is derived to achieve RL prediction for in-orbit satellite lithium-ion batteries.
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Li-ion batteries have very high round trip efficiency and more than ten years of successful space application history.
“Li-ion batteries have very high round trip efficiency and more than ten years of successful space application history, which is more than sufficient to consider this technology adequate to use onboard a lunar base [27,34,41].”
From Parametric Study of a Lunar Base Power Systems (2021) · cites this paper as [41]
The Introduction (page unavailable) describes successful use of lithium-ion batteries in satellites launched from 2000 onward, supporting more than ten years of space-application history by the paper’s 2018 publication. It discusses energy density and other advantages, but does not establish very high round-trip efficiency. The lunar-base conclusion is the citing authors’ inference, not a finding attributed to this source. (LLM, conf=0.87)
Experimental — accuracy not yet measuredFor Earth orbit satellites, ensuring reliability and safety requires the DOD of Li-ion batteries to be limited to about 40%.
“For Earth orbit satellites, where long life cycles (>30,000 cycles) are expected [85], ensuring reliability and safety requires the DOD of Li-ion batteries to be limited to about 40% [41].”
From Parametric Study of a Lunar Base Power Systems (2021) · cites this paper as [41]
For both types of batteries, energy efficiency of the discharge cycle and specific power are discharge-rate dependent.
“In the case of both types of batteries, energy efficiency of the discharge cycle as well as their specific power are discharge-rate dependent.”
From Parametric Study of a Lunar Base Power Systems (2021) · cites this paper as [41]
The Introduction says a high current rate can cause capacity underestimation, and Section 3.1 says discharge current varies between orbital cycles. Neither passage addresses discharge-cycle energy efficiency or specific power for two battery types. Searches for those terms and their discharge-rate relationship found no supporting passage in our copy; page numbers were unavailable. (LLM, conf=0.76)
Experimental — accuracy not yet measuredIn general, the lower the discharge rate, the higher the discharge-cycle energy efficiency.
“In general, the lower the discharge rate, the higher η dis value may be obtained [27,41,83].”
From Parametric Study of a Lunar Base Power Systems (2021) · cites this paper as [41]
The Introduction (page unavailable) says a high current rate can cause capacity underestimation and accelerate battery aging. Section 3.1 (page unavailable) says discharge current varies with satellite loading. Neither passage addresses whether a lower discharge rate increases discharge-cycle energy efficiency; searches for discharge rate and energy efficiency found no such passage. (LLM, conf=0.72)
Experimental — accuracy not yet measured
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Cites
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Cited by
Sorted by citations
Parametric Study of a Lunar Base Power Systems
Kaczmarzyk, M., & Musiał, M. (2021) · Energies · doi:10.3390/en14041141 · Cited by 43 · see citing works
- Authors
- Yu, B., Zhang, T., Liu, T., & Yao, L.
- Affiliations
- College of System Engineering, National University of Defense Technology, Changsha, China
- National University of Defense Technology (CN)
- Venue
- Mathematical Problems in Engineering
- Publisher
- Wiley
- Published
- 2018-12-06
- Volume
- 2018
- Pages
- 1-12
- ISSN
- 1024-123X (ISSN-L)
- 1563-5147
- OpenAlex
- W2903401745
- Cited by
- 8
- References
- 3
- Citations by year
- 2025: 2 · 2024: 1 · 2023: 1 · 2022: 2 · 2021: 1 · 2019: 1
- FWCI
- 0.27
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Mathematical Problems in Engineering (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- National Aeronautics and Space Administration
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Advanced Battery Technologies Research
- Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Reliability and Maintenance Optimization
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advancements in Battery Materials
- Keywords
- remaining useful life prediction, battery reliability, capacity fade, Brownian motion, time scale transformation, on-orbit operations
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