Car to Car闭环回收体系
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立中集团携手头部新能源车企共建联合创新实验室 加速布局人形机器人赛道
Zheng Quan Ri Bao Wang· 2026-01-19 04:48
Core Viewpoint - Lichong Group has signed a strategic cooperation agreement with a leading domestic new energy vehicle company to establish a joint innovation laboratory, focusing on the development and application of high-performance aluminum alloy materials for automotive and humanoid robots [1][2]. Group 1: Strategic Cooperation - The joint innovation laboratory will integrate resources in talent, equipment, processes, and application scenarios from both parties, establishing a comprehensive R&D mechanism from material design to standard formulation [1]. - The collaboration aims to achieve extreme lightweighting, cost reduction in manufacturing, and a green low-carbon lifecycle for vehicles, addressing global carbon reduction challenges [1][2]. Group 2: Material Development - The agreement includes the development of new aluminum alloy materials specifically tailored for humanoid robots, which require high strength-to-weight ratios, fatigue life, and machinability [2][3]. - Lichong Group's focus on integrating materials, structures, and processes could position it advantageously in the global supply chain for intelligent hardware [2]. Group 3: Recycling Initiatives - The "Car to Car" closed-loop recycling system will be promoted, allowing aluminum components from scrapped vehicles to be recycled and reused in new vehicle manufacturing, significantly reducing material carbon footprints [2]. - This closed-loop approach demands higher purity, composition control, and traceability compared to traditional post-consumer recycling methods, leading to more direct carbon reduction effects [2]. Group 4: Industry Positioning - Lichong Group has been actively signing multiple strategic cooperation agreements since 2023, covering various fields such as lightweight components, recycled aluminum, integrated die-casting, and humanoid robots [2]. - The collaboration with the leading vehicle company is expected to provide real application scenarios and validation channels, significantly shortening the commercialization cycle of technologies [3].