Retired electric-vehicle lithium-ion battery (EV-LIB) packs pose severe environmental hazards. Efficient recovery of these spent batteries is a significant way to achieve closed-loop lifecycle management and. Electric vehicle (EV) battery recovery is critical to circular economy and sustainability. Today, the g. 2.1. TaxonomyOne major purpose of this review is to clarify how AI/ML can be integrated into EV-LIB disassembly activities. Therefore, a taxonomy is prop. This section first presents the current states of disassembly automation. Then the challenges and requirements of EV-LIB automated disassembly are analyzed and discussed to expl. 4.1. Intelligent preprocessing of EV-LIBChecking, testing and sorting are critical preprocessing tasks in identifying the specification of the spent EV-LIBs and evaluating their c. 5.1. AI/ML's value and opportunitiesTo further identify the contributions and progress of AI/ML methods for EV-LIB disassembly, Table 6 summarizes the scientific problem.
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This paper reviews the application of AI techniques in various stages of retired battery disassembly. A significant focus is placed on estimating batteries' state of health (SOH), which is crucial for determining the availability of retired EV batteries.
What are the subtasks of disassembly compared to a lithium-ion battery?
Compared to the disassembly sequence of a lithium-ion battery, the subtasks of disassembly should be performed selectively based on the working abilities of workers and robots. Disassembly subtask assignment relies heavily on the evaluation of workers and robots.
Recent advances in artificial intelligence (AI) machine learning (ML) provide new ways for addressing these problems. This study aims to provide a systematic review and forward-looking perspective on how AI/ML methodology can significantly boost EV-LIB intelligent disassembly for achieving sustainable recovery.
Why is it difficult to disassemble electric vehicle batteries?
Due to the great difficulty of disassembling electric vehicle batteries and the small operating space in part of the disassembly process, which makes it difficult for the robotic arm to operate, it is difficult to automate the disassembly process entirely.
Can artificial intelligence improve the disassembly process for EV batteries?
In response to this pressing issue, this review presents a comprehensive analysis of the role of artificial intelligence (AI) in improving the disassembly processes for EV batteries, which is integral to the practical echelon utilization and recycling process.
Can electric vehicle battery recycling and disassembly be integrated?
The review concludes with insights into the future integration of electric vehicle battery (EVB) recycling and disassembly, emphasizing the possibility of battery swapping, design for disassembly, and the optimization of charging to prolong battery life and enhance recycling efficiency.