Overview of Digital Twin Platforms for EV Applications

Ibrahim, Mahmoud; Rjabtšikov, Viktor; Zequera, Rolando Gilbert

doi:10.3390/s23031414

Cited by 17 publications

(12 citation statements)

References 69 publications

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“…Then, sophisticated algorithms are employed to calculate the battery's SoC/SoH. The two models for the LIB that are most frequently used are the electrochemical model (EM) and the equivalent circuit model (ECM) (Ibrahim et al, 2023). However, The MB-DT methods are unable to represent the state space of complex systems due to the significant increase in process data.…”

Section: General Framework Of Cloud Dt-based Bmsmentioning

confidence: 99%

A review of battery state of charge estimation and management systems: Models and future prospective

Hussein,

Aghmadi,

Abdelrahman

et al. 2024

WIREs Energy & Environment

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Batteries are considered critical elements in most applications nowadays due to their power and energy density features. However, uncontrolled charging and discharging will negatively affect their functions and might result in a catastrophic failure of their applications. Hence, a battery management system (BMS) is mandated for their proper operation. One of the critical elements of any BMS is the state of charge (SoC) estimation process, which highly determines the needed action to maintain the battery's health and efficiency. Several methods were used to estimate the Lithium‐ion batteries (LIBs) SoC, depending on the LIBs model or any other suitable technique. This article provides a critical review of the existing SoC estimation approaches and the main LIB models with their pros and cons, their possibility to integrate with each other's for precise estimation results, and the applicability of these techniques in electric vehicles and utility applications with the commonly used standards and codes in these sectors. Moreover, this study will also explore a future framework for integrating digital twins (DTs) with BMSs for improved and advanced management. Based on this comprehensive review, it can be concluded that merging the model‐based estimation techniques with the data‐driven approaches with their promising development to determine the dynamic patterns inside the battery can efficiently achieve precise estimation results while reducing the complexity of these models. This integration will align also with the integration of digital twin technology to provide complete and accurate supervision for the BMSs.This article is categorized under: Emerging Technologies > Energy Storage Emerging Technologies > Digitalization Energy and Power Systems > Distributed Generation

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Section: General Framework Of Cloud Dt-based Bmsmentioning

confidence: 99%

A review of battery state of charge estimation and management systems: Models and future prospective

Hussein,

Aghmadi,

Abdelrahman

et al. 2024

WIREs Energy & Environment

View full text Add to dashboard Cite

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“…The complexity of Industry 4.0 affects the automotive industry, especially in the simulation aspect [31]. There are many methods for simulating automotive systems, such as the following [32]:…”

Section: Collaborationmentioning

confidence: 99%

A Framework for Communicating and Building a Digital Twin Model of the Electric Car

Bednarz,

Baier,

Paprocka

2024

Applied Sciences

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The Fourth Industrial Revolution has had a huge impact on manufacturing processes and products. With rapidly growing technology, new solutions are being implemented in the field of digital representations of a physical product. This approach can provide benefits in terms of cost and testing time savings. In order to test and reflect the operation of an electric car, a digital twin model was designed. The paper collects all the information and standards necessary to transform the idea into a real and virtual model of an electric car. The significance and impact of the study on the improvement of the project are described. The research stand, correlations of components (DC and AC motors, shaft, and wheel of the electric car), and development prospects are presented in the paper. The communication method with the research stand is also presented. The digital twin should communicate in real time, which means obtaining the correct output when the input changes; the input is the AC motor current, and the output is the rotational speed of the DC motor. The relation between inputs and outputs are tested. The kinematics of the electric car are modelled in LabVIEW. The results obtained are compared with historic racing data. The track is also modeled based on satellite data, taking into account changes in terrain height, using the SG Telemetry Viewer application. The parameters of the electric car engine model are tuned based on actual data on the car’s speed and current in the electric motor. The achieved results are presented and then discussed.

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“…Furthermore, DTs enable anomaly detection in fault detection systems [8][9][10], patient care processes, and the efficient management of traffic in smart cities [11,12]. These applications demonstrate the significant value of DTs in optimizing processes [13,14] and enhancing operational efficiency across multiple domains [15]. The DT environment enables a smooth and seamless exchange of information between the physical and virtual realms, empowering organizations to derive valuable insights and make informed, data-driven decisions.…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Survey of Digital Twins in Healthcare in the Era of Metaverse

Turab

Jamil

2023

BioMedInformatics

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Digital twins (DTs) are becoming increasingly popular in various industries, and their potential for healthcare in the metaverse continues to attract attention. The metaverse is a virtual world where individuals interact with digital replicas of themselves and the environment. This paper focuses on personalized and precise medicine and examines the current application of DTs in healthcare within the metaverse. Healthcare practitioners may use immersive virtual worlds to replicate medical scenarios, improve teaching experiences, and provide personalized care to patients. However, the integration of DTs in the metaverse poses technical, regulatory, and ethical challenges that need to be addressed, including data privacy, standards, and accessibility. Through this examination, we aim to provide insights into the transformative potential of DTs in healthcare within the metaverse and encourage further research and development in this exciting domain.

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Overview of Digital Twin Platforms for EV Applications

Cited by 17 publications

References 69 publications

A review of battery state of charge estimation and management systems: Models and future prospective

A review of battery state of charge estimation and management systems: Models and future prospective

A Framework for Communicating and Building a Digital Twin Model of the Electric Car

A Comprehensive Survey of Digital Twins in Healthcare in the Era of Metaverse

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