With the industry's "New Four Modernizations", over 70% of vehicle innovation now comes from electronic control and software. Yet rising software complexity, stricter functional safety & cybersecurity, higher-performance processors, and faster, shorter development cycles place greater demands on ECU and vehicle software R&D — an ever-growing challenge.

Electronic control is the backbone of mobile machinery — construction, agricultural, and mining — powering electro-mechanical-hydraulic integrated applications in driving, powertrain, travel, superstructure, operation, and implements. With high-precision sensing, high-speed bus communication, real-time control, and new-energy & AD technologies, it delivers precise control, energy savings, and carbon reduction under extreme conditions — boosting reliability and efficiency. Now accelerating toward electrification, automation, and digitalization, it is the key engine of the industry's intelligent, electric transformation.

The "Rapid Prototyping Engine" for Military Equipment Electronic Control: bridging "Algorithm — Code — Real Vehicle" through Model-Based Design; withstanding harsh environments to automotive-grade standards; and achieving full-chain autonomy and controllability through domestic localization — accelerating the digital and intelligent upgrade of electronic control in military vehicles and special-purpose equipment.

Aerospace energy is moving toward electrification, green development, and intelligence. Aircraft such as eVTOLs demand high-power-density, high-redundancy electronic control foundations, while the scale-up of hydrogen energy, energy storage, and new power generation equally relies on highly reliable power electronics. The Aerospace Energy solution, built on "automotive-grade DNA + aviation-grade reliability", integrates new-energy three-electric control, real-time electronic control, and energy management into one unified system.

An "Automotive-grade Foundation" for Embodied AI: leveraging a mass-production-validated domain-control architecture to bridge the "reliability gap" from laboratory prototype to mass-production delivery — covering the brain-heart hardware platform and the full R&D chain, enabling robots to operate reliably 24/7 and driving the upgrade of intelligent manufacturing.