Adaptive planning of human–robot collaborative disassembly for end-of-life lithium-ion batteries based on digital twin

Qu, Weibin; Li, Jie; Zhang, Rong; Liu, Shimin; Bao, Jinsong

doi:10.1007/s10845-023-02081-9

Cited by 8 publications

(3 citation statements)

References 42 publications

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“…DT technology, serving as a virtual representation of a physical lithium ion battery (LIB), can play a crucial role in battery production operations [25], engine-based power plants [26], and battery energy storage systems (BESSs) [27], showcasing its versatility and applicability in diverse industrial contexts. For instance, DT technology is used to optimize real-time disassembly strategies for end-of-life LIBs [28], production and value chain efficiency [29], and management systems [30]. DTs have also been employed to predict future battery behavior [31], the partial discharge voltage curve [32], the maximum available capacity of LIBs in EVs [33], the remaining useful cycle life [34], and the capacity decay and safety hazards in LIBs [35].…”

Section: Digital Twin Of Batteriesmentioning

confidence: 99%

“…Integrating DTs into battery manufacturing improves process efficiency and quality, offering benefits like increased productivity and enhanced sustainability [52][53][54]. The integration of DT technology with battery systems also offers benefits for the energy sector, such as reducing design time, enhancing flexibility, and improving disassembly process efficiency [28,55]. Finally, DT technology enhances efficiency in microgrid design [56], optimizes Second-life Battery Storage Systems (SBSS) [36], and improves transportation electrification [57].…”

Section: Digital Twin Of Batteriesmentioning

confidence: 99%

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A Digital Twin Framework for Simulating Distributed Energy Resources in Distribution Grids

Værbak,

Billanes,

Jørgensen

et al. 2024

Energies

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As the adoption of distributed energy resources (DERs) grows, the future of electricity distribution systems is confronted with significant challenges. These challenges arise from the transformation of consumers into prosumers and the resulting increased system complexity, leading to more pressure on the distribution grids. To address this complexity, a Digital Twin framework is designed to simulate DERs within distribution grids effectively. This framework is structured around four key modules: DERs, the electricity distribution grid, the energy management system, and the consumers. It incorporates a communication interface to facilitate interactions among these modules and includes considerations for grid topologies and demand-side configurations. The framework allows for the exploration of various DER adoption rates and capacities. The validation of this framework involves case studies on two Danish distribution grids with scenarios incorporating rooftop photovoltaic (PV) systems, batteries, and electric vehicles, considering different combinations of these technologies. The findings demonstrate the framework’s ability to depict the states of the grid, PV systems, electric vehicles, and battery systems with a 10 min resolution over periods ranging from a day to over a decade.

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Section: Digital Twin Of Batteriesmentioning

confidence: 99%

Section: Digital Twin Of Batteriesmentioning

confidence: 99%

A Digital Twin Framework for Simulating Distributed Energy Resources in Distribution Grids

Værbak,

Billanes,

Jørgensen

et al. 2024

Energies

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“…To realize the automatic disassembly task planning of SLIB, Yu et al 2022 proposed a disassembly task planning method based on ontology and partial failure rules [27]. Aimed at the uncertainties in the disassembly process of lithium batteries, Qu et al 2023 developed a human-robot collaborative disassembly method based on digital twins [28]. It significantly increased the flexibility of the disassembly operation.…”

Section: Introductionmentioning

confidence: 99%

Research on the Human–Robot Collaborative Disassembly Line Balancing of Spent Lithium Batteries with a Human Factor Load

Jiao,

Feng,

Yuan

2024

Batteries

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The disassembly of spent lithium batteries is a prerequisite for efficient product recycling, the first link in remanufacturing, and its operational form has gradually changed from traditional manual disassembly to robot-assisted human–robot cooperative disassembly. Robots exhibit robust load-bearing capacity and perform stable repetitive tasks, while humans possess subjective experiences and tacit knowledge. It makes the disassembly activity more adaptable and ergonomic. However, existing human–robot collaborative disassembly studies have neglected to account for time-varying human conditions, such as safety, cognitive behavior, workload, and human pose shifts. Firstly, in order to overcome the limitations of existing research, we propose a model for balancing human–robot collaborative disassembly lines that take into consideration the load factor related to human involvement. This entails the development of a multi-objective mathematical model aimed at minimizing both the cycle time of the disassembly line and its associated costs while also aiming to reduce the integrated smoothing exponent. Secondly, we propose a modified multi-objective fruit fly optimization algorithm. The proposed algorithm combines chaos theory and the global cooperation mechanism to improve the performance of the algorithm. We add Gaussian mutation and crowding distance to efficiently solve the discrete optimization problem. Finally, we demonstrate the effectiveness and sensitivity of the improved multi-objective fruit fly optimization algorithm by solving and analyzing an example of Mercedes battery pack disassembly.

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Recent advances in human–robot interaction: robophobia or synergy

Dzedzickis,

Vaičiūnas,

Lapkauskaitė

et al. 2024

J Intell Manuf

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Adaptive planning of human–robot collaborative disassembly for end-of-life lithium-ion batteries based on digital twin

Cited by 8 publications

References 42 publications

A Digital Twin Framework for Simulating Distributed Energy Resources in Distribution Grids

A Digital Twin Framework for Simulating Distributed Energy Resources in Distribution Grids

Research on the Human–Robot Collaborative Disassembly Line Balancing of Spent Lithium Batteries with a Human Factor Load

Recent advances in human–robot interaction: robophobia or synergy

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