As the battery industry shifts from capacity expansion toward higher-value manufacturing, equipment suppliers are facing new challenges — highly customized production requirements, global delivery complexity, and increasing demands for production stability and uptime.
At CIBF 2026, SKQ is showcasing how intelligent manufacturing can help address these challenges.
A Live Warehouse of Real-World Field Experience
One of the highlights is an on-site engineering knowledge platform built from more than 20 real-world delivery projects across EV and energy storage applications. Combined with an AI-driven process knowledge graph, the platform provides structured manufacturing know-how and process references for complex production scenarios.
Beyond lithium battery manufacturing, SKQ is also presenting advanced applications for humanoid robot micro-motor production lines. By transferring high-precision, high-throughput manufacturing experience from the battery industry into robotic joint manufacturing, SKQ is exploring new possibilities in diversified intelligent manufacturing solutions.
UV Printing Technology: The Next-Generation Alternative to Blue Film Coating
Another key technology on display is SKQ’s UV coating digital printing solution — a next-generation alternative to traditional blue-film insulation processes. Through digital coating technology, the solution improves coating consistency, surface adhesion, and process stability while addressing common issues such as bubbles and uneven corner coverage.
SKQ is also presenting the latest generation of its S-PACK 3.0 electrical standardization architecture, jointly developed with Siemens. Featuring unified naming systems, modular programming logic, and standardized communication protocols, S-PACK 3.0 improves interoperability, overseas maintainability, and global delivery efficiency for non-standard automation equipment.
S-PACK Standardization 3.0: Building a Universal “Language” for Engineers
In digital manufacturing, Qihang Digital Systems is showcasing two AI-driven capabilities:
• PHM predictive maintenance for critical precision components
• AI visual inspection based on deep learning and multispectral imaging technologies
These solutions help manufacturers improve production stability, reduce unplanned downtime, and enhance quality consistency across the entire production lifecycle.
Qihang Digital System: The Dual Engines of AI Inspection and Intelligent O&M
Line stability and product quality are at the core of delivering value. SKQ highlights two major AI capabilities of its Qihang Digital System:
AI-Driven PHM (Prognostic and Health Management) Predictive Maintenance
By monitoring the real-time operational characteristic signals of critical precision components—combined with deep learning algorithms and industry-specific large models—this technology enables a leap from “reactive repair” to “predictive maintenance.” It accurately captures early signs of performance degradation, eliminates the risk of unplanned downtime, and ensures the robust, stable operation of the production line throughout its entire lifecycle.
AI Visual Inspection
Leveraging deep learning and multispectral imaging technologies, this capability achieves 100% full-scale, real-time inspection of critical processes, including battery cell cosmetic defects, electrode tab alignment, and welding quality. Replacing traditional random sampling modes, its detection rate and consistency far exceed human standards, building a robust quality defense line for zero-defect ex-factory products.
During the afternoon technical forum, SKQ experts and subsidiary technical teams also shared insights into laser processing, in-line CT applications, UV printing technologies, and intelligent manufacturing practices for EV batteries, energy storage systems, and emerging industries.
📍 Booth: 9T117
📅 May 13–15, 2026
📌 Shenzhen World Exhibition & Convention Center
See you at CIBF 2026!
END