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FAST: A battery data recovery method for missing information due to delayed telemetry.

Yixin Nie¹, Wanxu Cai², Anqi Wang¹

¹Department of Automation, Tsinghua University, China.

ISA Transactions

|November 4, 2025

Summary

This study introduces the FAST Model to recover lost satellite telemetry data. It improves lithium battery health monitoring and remaining useful life predictions, even with significant data loss.

Keywords:

Data loss and recovery Delayed telemetry Lithium-ion batteries Low orbit satellite Remaining useful life (RUL)

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Area of Science:

Spacecraft engineering
Battery technology
Data science

Background:

Satellite telemetry data is crucial for assessing system reliability.
Delayed or missing data, especially for lithium batteries, impedes performance evaluation.
Lithium batteries are essential for satellite power systems.

Purpose of the Study:

To address telemetry delay-induced data loss in low Earth orbit satellite lithium batteries.
To propose a novel data recovery method for incomplete satellite telemetry.
To enhance the accuracy of satellite battery degradation assessment and remaining useful life prediction.

Main Methods:

Development of the FAST (Feature Acquisition and Short-sequence والتنبؤ) Model.
Utilizing feature acquisition and short-sequence prediction for data recovery.
Application to satellite battery datasets with substantial missing telemetry data (approx. 70%).

Main Results:

The FAST Model significantly reduces data recovery errors by over 50% compared to existing methods.
Successfully captures battery degradation trends and capacity fluctuations, including regeneration effects, using minimal data.
Recovered data enables more accurate estimation of remaining useful life (RUL).

Conclusions:

The FAST Model effectively recovers lost telemetry data for satellite lithium batteries.
Improved data recovery leads to a 5%-30% reduction in remaining useful life prediction errors.
This method enhances satellite power system reliability assessment and operational longevity.