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With the expected growth to 4 million electric vehicles (EVs) in the Netherlands by 2030, the demand for lithium-ion battery packs will continue to rise. While this development positively impacts the electrification of the country, it also presents a significant challenge in terms of recycling.

Extending the Life of EV Batteries with Squadra

Currently, 99% of EV battery packs are dismantled and scrapped, even though many still retain around 80% of their capacity and have significant value. This practice increases the CO₂ footprint of these battery packs and conflicts with the ambition of a circular Netherlands. The challenge is substantial and will only grow as we approach 2030.

Squadra Machine Learning Company, together with a partner in the energy storage sector, is tackling this challenge by repurposing EV battery packs in energy storage systems. This approach extends battery lifespans by 30% and helps reduce grid congestion.

The Challenge of Battery Waste

Currently, there is no efficient method to quickly and accurately determine the state of health of used battery packs. This makes reuse often unprofitable and significantly increases the CO₂ footprint of these “sustainable” EV batteries.

At the same time, the Netherlands faces challenges with peak loads on the electricity grid, limiting industrial growth and the connection of new renewable energy sources.

Squadra is developing a groundbreaking solution to combat waste and enable the reuse of end-of-life EV batteries. Traditional methods to test a battery pack can take up to 24 hours, but Squadra is developing a test bench and smart software that reduces this process to just 10 minutes. Using machine learning, they can predict the optimal configuration and composition of different battery types to create effective and sustainable energy storage systems.

About MIT-R&D AI

To develop the software and carry out a pilot in a realistic environment, Ugoo, as a subsidy partner, submitted an application for the MIT R&D Collaborative AI Projects. This funding supports innovative collaborative projects in generative AI and machine learning.

The innovation aligns perfectly with the goals of these programs by reducing the CO₂ footprint of EV batteries and increasing the flexibility of the Dutch energy system. Squadra and its partner received a subsidy of over €280,000 to finance this development.

Ugoo x Squadra

Sinds 2023 werkt Ugoo samen met Squadra Machine Learning Company als strategisch partner op het gebied van subsidieverwerving. Deze samenwerking heeft al snel haar vruchten afgeworpen. Onder andere door het opstellen van een slagende WBSO-aanvraag op gebied van machine learning en web development, en door voortdurend proactief kansen te onderzoeken op basis van de R&D roadmap, samenwerkingen en thematische openstellingen.

“ “Het proces van de aanvraag voor de MIT R&D AI-subsidie is erg soepel verlopen door het proactief ontdekken van deze kans en volledig uit handen nemen van het schrijfproces”.

Guus van de Mond - Eigenaar Squadra Machine Learning Company

Naast de subsidieaanvraag ondersteunt Ugoo ook bij de administratieve inrichting van de aangevraagde subsidies.