| Title |
Task Planner for Robotic Disassembly of Electric Vehicle Battery Pack |
| ID_Doc |
8754 |
| Authors |
Choux, M; Bigorra, EM; Tyapin, I |
| Title |
Task Planner for Robotic Disassembly of Electric Vehicle Battery Pack |
| Year |
2021 |
| Published |
Metals, 11.0, 3 |
| DOI |
10.3390/met11030387 |
| 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. |
| Author Keywords |
robotic disassembly; electric vehicle battery; task planner |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000633878700001 |
| WoS Category |
Materials Science, Multidisciplinary; Metallurgy & Metallurgical Engineering |
| Research Area |
Materials Science; Metallurgy & Metallurgical Engineering |
| PDF |
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