6533b855fe1ef96bd12b122f

RESEARCH PRODUCT

Task Planner for Robotic Disassembly of Electric Vehicle Battery Pack

Ilya TyapinEduard Marti BigorraMartin Choux

subject

lcsh:TN1-997Battery (electricity)electric vehicle batterybusiness.industryComputer sciencetask plannerMetals and AlloysProcess (computing)Control engineeringRoboticsBattery packTask (project management)VDP::Teknologi: 500robotic disassemblySoftware deploymentRobotGeneral Materials ScienceElectric-vehicle batteryArtificial intelligencebusinesslcsh:Mining engineering. Metallurgy

description

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.

yearjournalcountryeditionlanguage
2021-02-26
10.3390/met11030387https://hdl.handle.net/11250/2983072