Method and system for gradient separation of nickel, cobalt and manganese elements in ternary battery based on multi-stage extraction
By constructing a graph structure and using reinforcement learning algorithms to optimize the multi-stage extraction system, efficient separation of nickel, cobalt, and manganese was achieved, solving the problems of low separation efficiency and cross-contamination in existing technologies, and improving separation purity and system stability.
CN121406893BActive Publication Date: 2026-06-23HANGZHOU TIANYICHENG CHEM EQUIP
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HANGZHOU TIANYICHENG CHEM EQUIP
- Filing Date
- 2025-10-31
- Publication Date
- 2026-06-23
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Figure CN121406893B_ABST
Abstract
The application provides a ternary battery nickel-cobalt-manganese element gradient separation method and system based on multi-stage extraction, relates to the field of adaptive control technology, and comprises the following steps: acquiring real-time monitoring data of a multi-stage extraction system; adopting a graph structure to construct a cascading relationship node sequence, setting an attention module to extract features and adaptively adjust node sampling weights; constructing a multi-stage collaborative control strategy based on ion concentration prediction values, dividing the extraction unit into different enrichment zones, and adopting a reinforcement learning algorithm to optimize control parameters; and realizing efficient separation of nickel, cobalt and manganese elements by adjusting the control parameters. The application improves the separation efficiency, reduces energy consumption, and reduces the amount of chemical reagents.
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