Sensitivity Analysis of Battery Digital Twin Design Variables Using Genetic Programming

Vandana,; Bose, Bibaswan; Garg, Akhil

doi:10.1109/sefet57834.2023.10244776

Cited by 2 publications

(1 citation statement)

References 27 publications

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“…This technique has several applications, including oil and gas, water management, or social sciences [39][40][41]. In the case of the digital twin, there are some works where sensitivity analysis is used to analyze the performance of solar dryers [42], biogas facilities [43], or battery management, where statistical indices like the Pearson correlation is computed between the estimated and simulated performance indices of a battery [44].…”

Section: Sensitivity Analysismentioning

confidence: 99%

Digital Twin-Enabled Modelling of a Multivariable Temperature Uniformity Control System

Araque,

Angel,

Viola

et al. 2024

Electronics

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The use of a digital twin as an enabling technology for industry 4.0 provides control systems engineers with novel tools for modelling, designing, and controlling complex systems, providing a deep understanding of the physical asset based not only on its physics but also the real system’s response. It is particularly critical for uniformity temperature control applications, where providing a reasonable model of the system’s diffusion is always affected by the physical behavior of the system’s components required for heating, cooling, or power distribution. In this paper, a digital twin is used to represent a multivariable thermoelectric system employed for temperature uniformity distribution control with potential applications in semiconductor manufacturing. The modelling employs a five-step methodological framework consisting of the stages: target system definition, system description, multiphysics and data-driven simulation, behavioral matching, and implementation to represent the system’s temperature distribution accurately. The temperature distribution is measured using an infrared thermal camera to perform model behavioral matching on heating and cooling temperature uniformity applications. The obtained results indicated that using digital twins not only increases the accuracy of the system’s representation but can also provide the system with novel information that can be leveraged for the design and implementation of smart control systems.

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Section: Sensitivity Analysismentioning

confidence: 99%

Digital Twin-Enabled Modelling of a Multivariable Temperature Uniformity Control System

Araque,

Angel,

Viola

et al. 2024

Electronics

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Sustaining Evolution for Shallow Embodied Intelligence

Langdon,

Hulme

2024

IOP Conf. Ser.: Mater. Sci. Eng.

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Lenski’s experiments with E. Coli show Biology can sustain continual evolutionary improvement. However long term evolutionary experiments (LTEE) with evolutionary computing find that information theory’s failed disruption propagation (FDP) in deeply nested genetic programming (GP) hierarchies can greatly slow adaptation. We propose that researchers aiming at embodied artificial intelligence should control software robustness by using porous high surface area geometrical architectures, perhaps composed of many shallow mangrove like tree structures intimately linked to their data rich fitness environment.

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Sensitivity Analysis of Battery Digital Twin Design Variables Using Genetic Programming

Cited by 2 publications

References 27 publications

Digital Twin-Enabled Modelling of a Multivariable Temperature Uniformity Control System

Digital Twin-Enabled Modelling of a Multivariable Temperature Uniformity Control System

Sustaining Evolution for Shallow Embodied Intelligence

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