Briefing 2025/26
Our Fundamental Question
How long will a train battery really last – and how can we predict it before it fails?
In this challenge, we invite makers, engineers, and algorithm enthusiasts to develop a remaining useful life (RUL) prediction for railway battery systems. The goal is to assess battery health and forecast failures using real operational data.
The Challenge
You will design a solution that:
Measures charge/discharge voltage and current
Determines the state of health of battery packs
Predicts the remaining lifetime based on real degradation behavior
The focus is on enabling better maintenance decisions and avoiding unexpected battery failures.
What Makes This Interesting
Data-driven problem with clear real-world relevance
Combines hardware measurement, modeling, and algorithms
High impact: better reliability, lower costs, fewer failures
Technical Focus Areas
Acquisition of voltage and current during charge/discharge cycles
Battery state estimation based on real measurements
Development of a lifetime prediction algorithm using failure data
Cost-efficient, mobile hardware solution
Data transmission to a backend or server system
Who Should Join?
Makers interested in energy systems and batteries
Data scientists and algorithm developers
Embedded and IoT engineers
Teams passionate about predictive maintenance and sustainability
If you enjoy working with real data and building systems that predict the future instead of reacting to failures, this challenge is for you.
Join us and help shape the next generation of intelligent battery systems!
Your contact persons
About Alstom
We make the rail the backbone of a world in motion.
We integrate every dimension of rail into end-to-end solutions that improve availability, reduce total cost of ownership, and adapt to evolving needs and pressures. Our mission is to turn tomorrow's mobility challenges into opportunities that create value through smarter, more sustainable and more resilient rail solutions.
More details about ALSTOM
Further briefings
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Alstom – Presence Detection for Safer Trains
Alstom – Vibration-Based Fault Detection for Motor–Gearbox Units
Alstom – Predicting Remaining Useful Life of Train Battery Systems
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