Structural performance prediction based on the digital twin model: A battery bracket example

Wang, He; Mao, Jianxu; Song, Kai; Li, Zhe; Su, Yulong; Wang, Yaonan; Pan, Xiangcheng

doi:10.1016/j.ress.2022.108874

Cited by 18 publications

(3 citation statements)

References 30 publications

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“…It can also be applied to simulate lithium-air battery electrodes under varying electrolyte saturations [40], simulate mesostructures of electrodes [41], and model thermal behaviors [42]. DTs are also used to monitor the components in fission battery systems [43] and provide real-time predictive monitoring of battery brackets in new energy commercial vehicles [44].…”

Section: Digital Twin Of Batteriesmentioning

confidence: 99%

“…Moreover, Dual Digital Twin technology significantly enhances real-time monitoring and control for EV batteries [46,47], while the hybrid DT model achieves a remarkable 68.42% reduction in battery capacity error [48]. Meanwhile, DT technology predicts structural performance [44] and challenges related to the degradation of LIBs and proper charging patterns, thereby enhancing battery performance and lifespan [32]. DTs offer solutions like fast algorithm development [49], enhancing cathode performance in LIBs [50], and efficient testing of high-voltage power supplies [51].…”

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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“…At the same time, in the process of vehicle operation, the data is transmitted to the digital model in DT in real-time. By comparing with the model of a healthy vehicle, the time when the vehicle may fail can be predicted, thus improving driving safety [13]. In addition, DT's digital model can also simulate the performance and fuel efficiency of vehicle parts.…”

Section: Introductionmentioning

confidence: 99%

Digital Twin-Enabled Internet of Vehicles Applications

Gao,

Peng,

Yoshinaga

et al. 2024

Electronics

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The digital twin (DT) paradigm represents a groundbreaking shift in the Internet of Vehicles (IoV) landscape, acting as an instantaneous digital replica of physical entities. This synthesis not only refines vehicular design but also substantially augments driver support systems and streamlines traffic governance. Diverging from the prevalent research which predominantly examines DT’s technical assimilation within IoV infrastructures, this review focuses on the specific deployments and goals of DT within the IoV sphere. Through an extensive review of scholarly works from the past 5 years, this paper provides a fresh and detailed perspective on the significance of DT in the realm of IoV. The applications are methodically categorized across four pivotal sectors: industrial manufacturing, driver assistance technology, intelligent transportation networks, and resource administration. This classification sheds light on DT’s diverse capabilities to confront and adapt to the intricate challenges in contemporary vehicular networks. The intent of this comprehensive overview is to catalyze innovation within IoV by providing an essential reference for researchers who aspire to swiftly grasp the complex dynamics of this evolving domain.

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Leveraging the ISO 23247 Framework for the Development of Digital Twins of Stacker Cranes

Sobowale,

Freitas,

Lima

et al. 2024

Innovations in Industrial Engineering III

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Structural performance prediction based on the digital twin model: A battery bracket example

Cited by 18 publications

References 30 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

Digital Twin-Enabled Internet of Vehicles Applications

Leveraging the ISO 23247 Framework for the Development of Digital Twins of Stacker Cranes

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