Monolith, synthetic intelligence (AI) software program supplier to the world’s most progressive engineering groups, immediately publicizes the launch of its newly commissioned Forrester Consulting 2024 examine titled AI for EV Battery Validation.
The examine reveals that almost two thirds of automotive leaders count on the potential influence of AI to be extraordinarily or very vital with over half indicating that Engineering AI (EngAI) – a wise type of AI that learns from lots of engineering information to assist check groups perceive in any other case intractable issues – to be essential to staying aggressive in electric-vehicle (EV) battery growth.
The brand new examine surveyed 165 senior decision-makers in automotive engineering in North America and main European automotive markets, exploring their views on the appliance of EngAI within the growth of EV batteries. In an {industry} more and more dominated by balancing the seemingly conflicting objectives of sooner time to market and sustaining excessive product high quality, the examine reveals first-hand insights into the pressures that automotive engineering gamers are going through within the race to develop industry-leading autos, and the place clever applied sciences reminiscent of AI can tackle these pressing challenges to speed up innovation.
Reflecting the {industry}’s emphasis on introducing aggressive, sustainable merchandise to market within the quickest time attainable, the examine spotlights how 64% of automotive engineering leaders stress the requirement to scale back the effort and time spent on EV battery validation. In the identical vein, two out of three consider it’s crucial to scale back dependency on bodily assessments, whereas nonetheless guaranteeing compliance with security and high quality requirements.
Despite this pressing want, 66% of senior decision-makers agree that it’s crucial to scale back reliance on bodily check whereas nonetheless guaranteeing compliance with security and requirements, with 62% agreeing that their present digital validation instruments, together with bodily simulation, don’t absolutely make sure that battery designs meet all validation standards.
The affect that EngAI is more and more having within the automotive {industry} has pushed extra deal with the expertise amongst automotive engineering leaders. Whereas 44% of respondents specific critical concern concerning the potential impact that the expertise might have on their enterprise’ staff-count, over half (58%) have declared AI to be important in guaranteeing they keep aggressive in EV battery growth.
The automotive {industry} has seen unpredictable ranges of demand for EVs in current occasions, compounded by broader macro-economic circumstances. Industrial pressures felt in these situations lead senior engineering decision-makers to hunt good options for lowering prices and growth time – and EngAI is anticipated to make waves on this respect.
Respondents count on EngAI to chop years, quarters or months in growth cycles – together with in cell characterisation testing (61%), module and pack testing (56%) regulatory testing (53%) and charging optimisation testing (48%). In the meantime, they anticipate AI will assist them obtain value financial savings from $10 million to over $100 million in ageing and lifelong battery testing (37%), repeating assessments as a result of failures (39%), thermal runaway testing (36%), and regulatory testing (32%).
