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Accelerating battery innovation with AI-powered engineering

Raise the bar on the next generation of battery innovation

A battery cell cross-section shown next to a digitized version of the same battery cell to represent digital workflows in battery engineering.

Between 2010 and 2024, global battery demand increased over 40-fold while prices dropped by more than 90%. To survive in this $130 billion industry, manufacturers must transition from technical innovation to scalable, cost-effective production.

Battery performance is dictated by hundreds of interacting parameters across electrochemical, thermal, mechanical, and software domains. Traditional sequential testing is no longer enough to keep pace with compressed development timelines.

Turning battery complexity into a competitive advantage

AI-powered engineering can help battery organizations turn complexity into an advantage by combining engineering expertise, physics, simulation, experimental and operational data, and connected engineering context with AI.

The Tech-Clarity report explores how AI can help battery companies:

  • Explore and validate designs faster: Use AI-guided experimentation, physics-informed AI and accelerated simulation to evaluate more possibilities and focus physical testing where it matters most.
  • Advance battery performance and development: Apply AI across chemistry, cell development and battery systems to better understand complex interactions and optimize performance.
  • Improve manufacturing readiness: Connect engineering and manufacturing information to identify process risks earlier, improve quality and yield, and reduce costly scrap during production ramp-up.
  • Connect knowledge across the battery lifecycle: Bring requirements, simulations, test results, manufacturing, quality and operational data into context so teams can learn and make better-informed decisions.
  • Scale AI into repeatable capability: Move beyond isolated AI pilots by connecting engineering context, applied intelligence and operational execution that prioritizes governance and human oversight.

Read the full report to discover how AI-powered engineering can help battery organizations accelerate innovation, improve decision-making and scale from concept toward production and operations.

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