Abstract
The rapidly growing deployment of Electric Vehicles (EV) put strong demands on the development of Lithium-Ion Batteries (LIBs) but also into its dismantling process, a necessary step for circular economy. The aim of this study is therefore to develop an autonomous task planner for the dismantling of EV Lithium-Ion Battery pack to a module level through the design and implementation of a computer vision system. This research contributes to moving closer towards fully automated EV battery robotic dismantling, an inevitable step for a sustainable world transition to an electric economy. For the proposed task planner the main functions consist in identifying LIB components and their locations, in creating a feasible dismantling plan, and lastly in moving the robot to the detected dismantling positions. Results show that the proposed method has measurement errors lower than 5 mm. In addition, the system is able to perform all the steps in the order and with a total average time of 34 s. The computer vision, robotics and battery disassembly have been successfully unified, resulting in a designed and tested task planner well suited for product with large variations and uncertainties.
Highlights
As the adoption rate for electric vehicles (EV) is accelerating worldwide, EVLithium-Ion Batteries (EVBs) repurposing or recycling volumes are expected to be larger in 5–10 years (120 GWh/year available by 2030 [1]) and legislation will likely demand higher collection and recycling rates as for example in the newly proposed regulation of the European parliament and of the council concerning batteries and waste in December2020
The aim of this section is to validate the order suggested by the task planner and to characterise its performance regarding time and accuracy
The components are placed in the removal order list, because the decision-making has been previously done in this image
Summary
As the adoption rate for electric vehicles (EV) is accelerating worldwide, EVLithium-Ion Batteries (EVBs) repurposing or recycling volumes are expected to be larger in 5–10 years (120 GWh/year available by 2030 [1]) and legislation will likely demand higher collection and recycling rates as for example in the newly proposed regulation of the European parliament and of the council concerning batteries and waste in December2020. Lithium-Ion Batteries (EVBs) repurposing or recycling volumes are expected to be larger in 5–10 years (120 GWh/year available by 2030 [1]) and legislation will likely demand higher collection and recycling rates as for example in the newly proposed regulation of the European parliament and of the council concerning batteries and waste in December. The automotive Lithium-Ion Batteries (LIBs) dismantling process is mainly carried out manually and the use of robotics in this process is limited to simple tasks or human assistance [2]. These manual processes are time consuming and must be done by highly skilled personnel. The main challenges for the success of the automated systems in dismantling are the variations and uncertainties in used products [4]
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