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Large new-energy company

AI + 3D Vision-Guided High-Precision Battery Module Disassembly

Customer Demand

As battery-powered systems are increasingly used across transportation, energy storage, and other industries, the safe and sustainable recycling of end-of-life power batteries is essential. Effective battery recycling requires sequential disassembly into modules, cells, and raw materials, with high precision at critical steps such as module handling, busbar/terminal milling, and end-plate cutting. Even minor errors can damage batteries, cause leaks, or create safety hazards. The customer required a high-accuracy, flexible AI + 3D vision system to guide robots across multiple disassembly stages while ensuring both operational safety and material integrity.

Mech-Mind General-Purpose "Eye + Brain" for Robots

AI + 3D Vision-Guided High-Precision Battery Module Disassembly Project Site

Workflow:

Mech-Mind's “Eye + Brain” solution (featuring high-precision 3D cameras and AI software suites) guides robots in end-of-life battery recycling. The system scans battery packs and modules to provides accurate 3D point clouds, identifies key features and recognizes module types. Using precise pose estimation and collision-free path planning, it directs robots to pick, clamp, mill, and cut along safe, repeatable trajectories, enabling damage-free disassembly and smooth transfer to downstream recycling.

AI + 3D Vision-Guided High-Precision Battery Module Disassembly Point cloud of the module busbar

Advantages:

Delivers high-quality point clouds of reflective, rusted, or oil-stained modules, ensuring stable 3D vision in harsh operating environments.
Precisely locates weld seams, end plates, and other critical structural features, enabling accurate identification and positioning for safe module disassembly.
Guides robots to autonomously execute multi-step disassembly tasks, including pack handling, module separation, and busbar/terminal milling.
Applies self-developed 3D vision and deep learning algorithms to robustly recognize module types and compensate for reflections, misalignment, and fine structural variations, ensuring reliable pose estimation.
Offers user-friendly and versatile AI software that supports fast deployment, simple calibration, and rapid adaptation to different battery designs and recycling stages.
Supports a wide range of battery module specifications, enabling flexible automation and improved material recovery in sustainable recycling workflows.

Results:

Successfully established an intelligent and flexible disassembly line for end-of-life power batteries.
Significantly improved disassembly efficiency and material recovery throughput, enabling higher-value recycling of battery materials.
Enabled sustainable recycling practices and supported business growth through highly efficient, flexible, and intelligent production.

Click here to watch the real-world case video.

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