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🚘 EV milestone in the UK: Electric cars now account for over a quarter of all new vehicles sold. Fresh data shows a major jump in adoption – suggesting that EVs are no longer a niche segment, but a central pillar of the UK automotive market. It’s big news.
But it also puts new pressure on the engineering ecosystem behind every EV on the road. Does rising EV demand expose gaps in today’s EV powertrain development process? Full Independent story in the comments. 👇 #ElectricMotorDesign #EVMarket
👀 Where does your team lose the most time in the development loop? And if you could reclaim even 10%, what would you innovate next? Chinese electric vehicle OEMs (such as BYD and NIO) can launch new models in about 24 months, compared with up to 45 months for traditional automakers. That’s a lost generation in EV powertrain development roughly every decade… 🕒 For Western manufacturers, this gap isn’t just a challenge to their ability to respond to a rapidly evolving and shifting market – it also risks squeezing out all product innovation and competitiveness. Industrial AI and physics-based simulation tools are already enabling teams to slash design cycles - generating cost-optimal designs in a few days that can be manufactured from series production methods. What else would it take to remove a design cycle without adding product risk? #EVPowertrainDevelopment #ReducedDevelopmentCycles #AIEngineering #DeepTechEngineering
Many EV teams are still optimising components in isolation. But the real savings only appear when you model the whole system. In our latest article, we explore why system-level design is becoming one of the biggest untapped levers for cost, efficiency and time-to-market in EV development – and why start-ups are using it to outpace larger incumbents. If you work in EV powertrain, this one’s worth a read 👇 #SystemLevelMotorDesign #OptimisedSystemDesign #XIn1

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