Fully charged: how AI-powered battery testing can support the EV boom
- A new automotive industry survey reveals widespread dissatisfaction with EV battery testing, a problem that could be solved by AI.
- AI can accelerate battery validation by trialling different use cases faster than physical tests.
- Thoughtfully designed AI will surmount the ‘trust gap’ the technology currently faces.
The automotive industry faces immense pressure in the fight to achieve net zero. Engineers must overcome incredibly complex – intractable – physics underpinning battery technology to deliver competitive, sustainable electric vehicles (EVs).
Cost-effective validation and optimization of EV batteries have become pivotal. Industry leaders consistently tell us that their current toolset, including physical simulation, falls short. To better understand these challenges, we commissioned a study with Forrester Consulting titled 2024: AI for EV Battery Validation with 165 senior decision-makers in automotive engineering across North America and Europe. The findings proved illuminating and, frankly, unsurprising.
The study revealed widespread dissatisfaction with existing validation tools. Over 60% of respondents stated that their current methods, dominated by physical testing and simulations, cannot meet the rigorous demands of EV battery development. These shortcomings stand out starkly when the goal is to accelerate EV market entry while ensuring safety, reliability and sustainability. Engineers must embrace a new approach that alleviates these bottlenecks without compromising trust in the process.
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Fully charged: how AI-powered battery testing can support the EV boom, source
