Business Products
Consumer Products
Technological Innovation
Complete chain of battery cell-BMS-battery pack product R&D and manufacturing system
Committed to the high quality and sustainable growth of the lithium-ion battery industryIntroduce advanced manufacturing information management systems, production automation, intelligence and informationization, and employ new technologies such as artificial intelligence, image recognition, machine learning, and predictive algorithms.
Internal R&D for a fully customized automatic production line
Establish five major data platforms, including R&D, testing, manufacturing, operation, and after-sales.
Big data analysis facilitates decision-making for product design, process development and product manufacture; process data based management leads to establishment of industrial application centers, which support intelligent process optimization and process capability improvement.
Based on process capability data analysis
quickly find abnormal quality and take action on closed-loop process management.
Predict the process capabilities based on
mechanism analysis, simulation modeling and continuous optimization of process capabilities
Based on a thorough analysis of big data (10T) on incoming materials and process machines Optimized process parameters are obtained by a tuning model between single and cross-process
A patented technology through welding multi-tabs, it can effectively reduce the temperature rise and booster the power output and reliability of the battery for high power applications
Real-time Data Analysis and Process Control
Use big data to identify valuable improvement opportunities and explore root causes and mechanisms; apply digital twins and automatic fault diagnosis technology to build an expert support system to solve problems of abnormal quality and equipment failures.
Structured processes data automatically trigger material planning and schedule changing of product line
Synchronization of materials and information flow in the production processes, achieving accurate traceability and displaying key production data of multiple dimensions
Full control of production quality, full records of abnormalities and issues, full records of problem solving processes, and continuous quality improvement
Comprehensive monitoring and strict control from materials, manufacturing processes to finished products.
Real-time monitoring of manufacturing quality based on advanced technologies such as machine vision and knowledge mapping, and automatic testing to achieve a complete traceability of manufacturing information.Based on machine vision and big data analysis, a full automatic and intelligent quality inspection can be realized and labor costs are reduced accordingly
Provides recommendation of root cause analysis and possible solutions for quality issues based on a database of prior problem cases using knowledge mapping and technology
Build a quality management database of product lifecycle covering customer requirements, product design, manufacturing and aftersales services, to achieve systematization and transparency of quality management
Integrate Lean Logistics Concept
Use AGVs in stereo warehouse, and synchronize with the WMS and WCS system to achieve a full automation of distribution and informationization of warehouse management.
Integrate lean logistics concepts such as Milk Run, equalization, and container standardization to achieve the cost effective logistics and warehouse management
Use AGVs in stereo warehouse, and synchronize with the WMS and WCS system to achieve a full automation of distribution and informationization of warehouse management.
Synchronizing procurement planning, production scheduling, and warehouse location management thru advanced AI algorithms, to achieve a high distribution efficiency and warehouse utilization.
