Traditional time and sequential processing-based micro and zonal controllers struggle to handle multiple workloads due to limited deterministic processing capabilities. In contrast, Intel’s new family of ACU devices integrates a flexible logic area that offloads real-time control algorithms from the CPU cores. This ensures reliable performance, freedom from interference (FFI), and deterministic data delivery even when consolidating multiple microcontroller workloads into a single zonal MCU. According to Intel this dual-brain approach enables greater workload consolidation, lowers cost, and enhances safety, cybersecurity, and performance.
When used in an EV powertrain, the ACU U310 supports algorithmic solutions that reduce vehicle energy demand from the battery, automatically adapting high voltage and control frequencies to individual driver styles and road conditions.
According to Intel, the ACU reduces cost per kilowatt and enhances energy efficiency, allowing for the vehicle to reclaim up to 40% of the powertrain system energy losses, delivering a 3% to 5% efficiency boost during the Worldwide Harmonized Light Vehicles Test Procedure (WLTP). This translates to increased range, faster charging, and a more responsive driving experience while significantly reducing per-vehicle bill of materials (BOM), electric motor size, and battery costs compared to traditional approaches.
Stellantis Motorsports is adopting the Adaptive Control technology into its next-generation inverter control. In this implementation, the Intel technology will control the electric motor and recover energy during braking phases. The inverter plays a crucial role during a Formula E race, where any gain in efficiency transforms into a precious competitive advantage.
Karma Automotive announced support for Intel’s ACU, showcasing an Intel co-branded inverter featuring Optimal Pulse Pattern control algorithms to improve efficiency and enable four unique driving profiles. Features include Torque Ripple Reduction and Range Boost.
The ACU’s programmability enables it to serve as a first-of-its-kind software-defined zonal controller, adapting to different vehicle topologies and applications. This flexibility streamlines the transition to software-defined vehicles, simplifies supply chains, and reduces the complexity of the vehicle BOM.
AI Inside
Also at CES, Intel, building on its first-generation AI-enhanced SDV system-on-chips (SoCs), announced the upcoming second-generation Arc B-series Graphics for Automotive set for production by the end of 2025. This solution provides the high-performance computing needed for more advanced in-vehicle AI workloads, next-generation human-machine interface (HMI) engines, and immersive in-vehicle experiences.
Paired with an Intel AI-enhanced SDV SoC and supported by the Intel AI ecosystem, the platform is said to deliver scalable performance for complex AI tasks.