Optimising Battery Performance and RUL with CE-DSS
Author: Christina Vlassi
June 3rd 2025
Our tech team designed a Decision Support System (DSS) solution that enhances battery usage decision making, paired with an innovative Remaining Useful Life (RUL) estimation module, designed for smarter analysis and long-term optimisation.
We developed the solution as part of the DaCapo project, for end-user Fairphone. DaCapo aims to create human-centric digital tools and services which improve the adoption of Circular Economy (CE) strategies throughout manufacturing value chains and product lifecycles. The project has been ongoing for 2 and a half years and comprises 15 partners across 10 countries with a budget of 5.99 million euros.
Fairphone is a key DaCapo partner, founded in 2013 to address the “make-use-dispose” trend through its focus on modular smartphones that are durable and easy to repair.
How our solution works
Our aim was to develop a DSS that enhances decision-making around battery usage, through its pairing with a RUL estimation module – all of which is accessible to users through a dedicated web app. When users access the app, they get instant access to a battery report preview for all their devices.
From there, the system splits into its two core functionalities: RUL Estimation and Forecasting & Suggestions.
Remaining Useful Life Estimation
In this module, users can see battery capacity loss based on mathematical models that map out capacity degradation over time. These insights reveal how much useful life remains in the battery — giving users a clear view of their device’s condition.
Where the DSS shines is through the provision of personalised guidance. By analysing app usage patterns, the system identifies the impact of each app on battery degradation. Through data analysis, we offer custom recommendations to help users understand and adjust usage patterns that are draining their battery life faster than necessary.
Forecasting & Suggestions
Harnessing the power of machine learning, the system predicts RUL 10 days ahead — tailored specifically to the user’s habits. With these predictions set, the web app goes on to offer actionable tips for longer battery life, with suggestions on the temperature control, charging patterns and usage patterns. When users follow these tips, the RUL of their device is improved, which is reflected visually on the app, showing the tangible benefits of informed action and encouraging sustainability-oriented behaviour.
