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Current efforts and status of recycling technology development of electric vehicle battery in China
( Xiao Lin ),( Gangfeng Liu ),( Xue Wang ) 한국폐기물자원순환학회 2022 ISSE 초록집 Vol.2022 No.-
With the proposed goal of Carbon Neutrality, electric vehicles and other new energy industries are developing rapidly, the demand for lithium-ion batteries is increasing, which will certainly lead to a wave of scrapping in the future. On the one hand, the spent lithium-ion battery is flammable and explosive, and the organic toxic components contained requires harmless treatment; On the other hand, spent lithium-ion batteries have the property of resources e.g., Nickel, Cobalt, Manganese, Lithium and other valuable components. Therefore, the recycling of spent lithium-ion batteries can not only protect the environment, but also alleviate the global strategic metal resource tension and promote the healthy and sustainable development of new energy industry, which has become a hot topic in the global research. This article provides an overview of the lithium-ion battery recycling market, especially in China. Then we will share our research on the whole process recovery of lithium batteries, including the pre-treatment of spent Lithium-ion to obtain black powder that meets the requirements of the subsequent process, then the traditional hydrometallurgical recycling process for valuable metals in the black powder and ultra-short process developed by Botree Cycling will be introduced and compared. At last, the latest study on the life-cycle carbon footprint assessment for Lithium-ion batteries including the end-of-life stage will be mentioned.
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Research on Lyapunov-based Predictive Path Following Control of AGV Based on Time Constraint
Shaobo Zhang,Qinxiang Xia,Gangfeng Xiao,Sizhu Cheng,Mingxing Chen 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.12
Automated Guided Vehicles (AGV) usually takes on the responsibility of material transmission in industrial applications with a wireless computer-controlled differential driving. A Lyapunov-based model predictive control method is proposed for the AGV path following problem with considering the time constraint. The time constraint problem of path following is introduced for industrial scheduling fields, and the reference path is discretized and virtually constructed by the quadratic programming method based on the double integrator technique. The stabilization point control theorem is migrated to solve the path following control, and adopted to track the generated discretized setting reference path points by using the model predictive control method. The predictive following control method is constrained by the Lyapunov function, which ensures the stability of the control of AGV motion. The controller is constrained by Lyapunov stability criteria to demonstrate the local and global convergence of the control system. The comparative results of numerical simulation experiments show that the proven method is effective with better smoothness and stability.
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