Latest at Monumo

Big news in the EV battery race – Toyota Motor Corporation plans to launch the world’s first solid-state EV by 2027/28. The new batteries promise faster charging and longer lifespans, potentially reshaping what consumers expect from electric vehicles. But while billions are being poured into battery innovation, it raises a vital question for the rest of the powertrain. According to Dominic Vergine, Monumo CEO: “If even a fraction of that investment and attention went into motor design, we’d unlock comparable leaps in efficiency, cost reduction and sustainability. The EV revolution isn’t just about the battery – it’s about the entire system.” Full Live Science story in the comments. 👇

🚗 AI is transforming every corner of the automotive world, but not all corners equally. Companies like Hyundai Motor Company and Toyota Motor Corporation are already using AI to spot defects and boost efficiency on the factory floors. But when it comes to designing the cars themselves and the intricate powertrains that drive them, things start to slow down. Why? Because EV powertrain design isn’t just hard, it’s multi-physics, multi-component, and massively complex. Getting AI to understand how every part of the system interacts, while respecting manufacturing limits and still delivering the required performance, is a whole different challenge. That’s why adoption in engineering design is lagging. There’s not just a technical barrier, there’s also a credibility barrier. Engineers are understandably hesitant to trust “black box” AI models when the cost of being wrong is measured in safety, performance, and millions of dollars. So here’s a question for you: 👉 What’s holding engineering teams back from allowing AI to take the wheel? 👉 And what would your criteria be for trusting AI to design your next EV powertrain? #ElectricMotorDesign #MachineLearning #DeepTechEngineering #AdvancedEngineeringSolutions

Could your X-in-1 electric motor design be masking – or even creating – inefficiencies? Right now, many EV automakers are chasing more and more integration. Nissan Motor Corporation is developing a 3-in-1. Huawei has a 7-in-1. And BYD has jumped from an 8-in-1 to a 12-in-1. These integrated systems promise lighter weight and lower cost. But putting more components in the same housing doesn’t always mean the system is optimised. True system-level motor design should go further, leveraging the coupling between components to: ⚙️ Fine-tune cost and efficiency 🌡️ Manage thermal loads collaboratively 💰 Reduce BOM cost and design complexity So, what’s the appetite for optimised system design at your automotive business? Are your teams focusing on components – or finding efficiencies at the system level? #ElectricMotorDesign #EVPowertrain #SystemLevelMotorDesign #XIn1