Key Takeaways
- Hangsheng Electronics unveiled three core AI‑Car technologies at Auto China 2026: Kongming 3.0 intelligent driving, DSSAD autonomous‑driving data recorder, and a full‑stack hardware‑software suite (Mozi 3.0 + Moyuan AI OS).
- Kongming 3.0 uses an algorithm‑defined chip architecture for deep software‑hardware integration, delivering >30 % cost reduction and ASIL‑D functional safety for both ICE and EV platforms.
- The DSSAD system complies with China’s GB 44497‑2024 standard, records critical accident‑related data, and remains operational for 300 ms after a total shutdown thanks to power‑loss protection and anti‑tampering features.
- Mozi 3.0 achieves “five‑domain fusion,” consolidating cockpit, driving, connectivity, vehicle control and edge AI into one or two high‑performance units, tripling resource utilization and cutting cross‑domain latency to <3 ms.
- Moyuan AI OS provides an AI‑driven HMI (panoramic 3D cross‑screen, HSClaw proactive agent), supports end‑cloud large models, and can run in closed‑loop mode using onboard edge compute when offline.
- Hangsheng’s “1+2+N” product matrix spans intelligent driving, connectivity, acoustics, new‑energy electronics, control systems, and emerging areas such as robotics, low‑altitude economy and microgrids.
- The solutions target mass production in September 2026, with a leading automaker already having placed an order for Kongming 3.0.
- Overall, Hangsheng aims to close the intelligence gap between powertrain types, improve safety and data integrity, and deliver a scalable, unified platform for next‑generation smart vehicles.
Overview of the Announcement
On April 24, Hangsheng Electronics presented its latest AI‑Car portfolio at Auto China 2026 in Munich‑Shenzhen. The showcase centered on three foundational technologies that together form a comprehensive smart‑vehicle ecosystem: the Kongming 3.0 advanced intelligent driving solution, the DSSAD autonomous‑driving data recording system, and a full‑stack hardware‑software package comprising the Mozi 3.0 central computing platform and the Moyuan AI operating system. By integrating these elements, Hangsheng seeks to provide automakers with a turnkey solution that enhances performance, safety, and cost‑efficiency across both internal‑combustion‑engine (ICE) and electric‑vehicle (EV) architectures. The event also highlighted the company’s broader “1+2+N” product matrix, underscoring its ambition to expand beyond core automotive functions into robotics, low‑altitude mobility, and distributed energy systems.
Kongming 3.0 Intelligent Driving Solution
Kongming 3.0 is built around a software‑hardware integration philosophy that leverages an algorithm‑defined chip architecture. This design enables deep co‑optimization of software algorithms and underlying silicon, resulting in performance gains while cutting system costs by more than 30 %. The solution incorporates an ASIL‑D functional safety island, meeting the highest automotive safety standards, and supports both air‑ and liquid‑cooling configurations, making it adaptable to a wide range of powertrains. By aligning intelligence levels across ICE and EVs, Kongming 3.0 represents a step toward parity in vehicular smart capabilities. Notably, a leading automaker has already placed an order for the system, with mass production slated for September 2026.
DSSAD Autonomous‑Driving Data Recording System
The DSSAD (Driving Safety System Autonomous‑Driving) recorder complies with China’s national standard GB 44497‑2024, which mandates the capture of data essential for accident liability analysis and algorithm refinement. It logs vehicle status, system commands, environmental perception inputs, and driver actions in real time. Built to ASIL‑D functional safety, the system features a secure hardware boot process, anti‑tampering mechanisms, and power‑loss protection that allows up to 300 ms of independent operation after a complete shutdown. Additionally, the recorder is designed to withstand fire and water exposure, ensuring data integrity under harsh conditions. This robust data‑logging capability supports both regulatory compliance and continuous improvement of autonomous driving functions.
Mozi 3.0 Central Computing Platform
Mozi 3.0 implements a “five‑domain fusion” strategy, consolidating the cockpit, intelligent driving, connectivity, vehicle control, and edge AI computing into one or two high‑performance compute units. By replacing the traditional array of distributed controllers, the platform achieves a three‑fold increase in resource utilization and reduces cross‑domain latency to under 3 ms. Computing scalability ranges from 100+ to 1000+ TOPS, accommodating everything from basic infotainment to demanding AI‑driven perception and planning tasks. This unified architecture not only simplifies vehicle electrical‑electronic (E/E) architecture but also lowers wiring harness complexity, weight, and power consumption, delivering tangible cost and efficiency benefits for OEMs.
Moyuan AI Operating System
Running atop Mozi 3.0, the Moyuan AI OS delivers an advanced AI‑driven human‑machine interface (HMI). Its panoramic 3D cross‑screen interface provides immersive visualisation of navigation, vehicle status, and infotainment content. The HSClaw proactive service agent anticipates user needs—such as suggesting climate adjustments or route alternatives—based on contextual sensor data and learned preferences. The OS supports end‑cloud large language and vision models, enabling sophisticated natural‑language interaction and real‑time scene understanding. Crucially, Moyuan AI OS can operate in a closed‑loop mode using onboard edge compute, ensuring continued functionality even when the vehicle loses network connectivity, thereby enhancing reliability and user experience.
“1+2+N” Product Matrix and Emerging Sectors
Beyond the core AI‑Car trio, Hangsheng displayed its expansive “1+2+N” product matrix. The “1” denotes the central intelligent driving platform, the “2” covers connectivity and new‑energy electronics, while the “N” encompasses a broad array of supplemental systems: acoustic solutions, control modules, and emerging verticals such as robotics, low‑altitude economy (e.g., urban air mobility), and microgrid energy management. This matrix illustrates Hangsheng’s strategy to leverage its core computing and AI expertise across adjacent markets, creating synergies that can accelerate innovation in both traditional automotive and next‑generation mobility segments.
Industry Implications and Competitive Positioning
Hangsheng’s announcements signal a move toward highly integrated, software‑defined vehicle architectures that can reduce development cycles and component counts. The cost savings from Kongming 3.0’s algorithm‑defined chip approach, combined with the safety‑centric DSSAD recorder, address two pressing OEM concerns: affordability and regulatory compliance. Meanwhile, Mozi 3.0’s latency‑optimized fusion and Moyuan OS’s AI‑rich HMI set a benchmark for user experience and real‑time responsiveness. By offering a scalable platform that supports both ICE and EV applications, Hangsheng positions itself as a versatile supplier capable of serving legacy fleets while future‑proofing for electrification and autonomy. The company’s foray into robotics and low‑altitude mobility further diversifies its revenue streams and aligns with broader trends toward multimodal transportation ecosystems.
Conclusion
Hangsheng Electronics’ Auto China 2026 presentation outlined a coherent vision for AI‑enabled vehicles: a tightly coupled software‑hardware stack (Kongming 3.0 + DSSAD), a unified high‑performance compute core (Mozi 3.0), and an intelligent, resilient operating system (Moyuan AI OS). Together, these technologies deliver measurable performance improvements, cost reductions, and safety enhancements while supporting a wide range of powertrains and emerging mobility applications. With mass production scheduled for September 2026 and early OEM commitments already in place, Hangsheng is poised to influence the trajectory of smart vehicle development in the coming years.