AI with “PhD level intelligence” introduced to battery management platform

As EV take-up increases around the world, the battery energy storage systems (BESS) market is also growing rapidly, driven by an increasing need for grid stability, renewable energy integration, and cost efficiency.

But Electra said that as adoption accelerated, operators were facing mounting challenges, including maximising asset performance while reducing operational costs; extending battery lifespan and minimising unplanned downtime.

The company said batteries generated large amounts of performance, environmental and usage data, but managing them efficiently had been a challenge because of the complexity involved in interpreting the information.

The integration of Large Language Model (LLM) into its Eve-Ai platform acted as an intelligent agent, translating raw technical data into plain English and Electra said it would enable users to make data-driven decisions confidently.

It said that by analysing the real-time data from battery performance, environmental conditions and usage patterns, Eve-Ai enhanced with LLM helped ensure batteries could operate more efficiently, lasted longer and avoided costly failures – whether for BESS solutions or for EV fleets.

Giovanni Rossi, global marketing and communications director at Electra, said: “With this AI agent based on LLM, we are removing barriers to battery intelligence.

“For too long, battery management has required highly specialised expertise.

“Our AI-driven approach changes that by making advanced battery analytics not only predictive but also understandable and actionable.

“By combining our proprietary AI models with the best the market has to offer, we are delivering the most comprehensive and accessible battery intelligence platform available today.”