Digital twin(DT)technology has been utilised in many applications including electric vehicles(EVs).A DT is a virtual representation of a physical object,enabled through real-time data integration,simulation,and optimi...Digital twin(DT)technology has been utilised in many applications including electric vehicles(EVs).A DT is a virtual representation of a physical object,enabled through real-time data integration,simulation,and optimisation tools.Unlike conventional simulations,which are typically offline and lack real-time interaction,a DT continuously synchronises with the physical system,enabling dynamic performance monitoring and predictive an-alytics.Achieving a full DT involves progressive stages,with the digital shadow(DS)being the final step before realising a bidirectional DT.Building a DS provides a scalable real-time performance monitoring and fault detection framework,enabling proactive decision-making in EV operations.This study introduces a DS system specifically designed to monitor the performance of a permanent magnet synchronous motor(PMSM)drive system in EVs,marking a critical phase towards a complete DT.The methodology for creating the DS is detailed,including the establishment of a compre-hensive test bench for the EV powertrain as the physical reference model.The mathe-matical model of the EV-PMSM was formulated,and an advanced estimation model utilising the extended Kalman filter(EKF)was implemented.MATLAB/Simulink was employed to develop the motor’s digital model.Real-time data acquisition from the physical model was facilitated through a data acquisition system(DAS)equipped with a controller area network(CAN)communication interface.The digital model underwent thorough validation against sensory data collected from the test bench.The motor digital model was deployed to a DS framework enabled through real-time data flow from the actual EV during real-world driving conditions.The results demonstrated a high accuracy of 97%between the DS predictions and the corresponding EV data,confirming the DS’s reliability.These findings pave the way for future advancements,including bidirectional interaction and the realisation of a full DT.展开更多
Vision-based digital shadowing is a highly efficient way to monitor the health of buildings in use.However,previous studies on digital shadowing have been limited to laboratory experiments.This paper proposes a novel ...Vision-based digital shadowing is a highly efficient way to monitor the health of buildings in use.However,previous studies on digital shadowing have been limited to laboratory experiments.This paper proposes a novel computer-vision-based digital shadow workflow and presents its successful application in a real engineering case.In this case,a 345.8-m supertall building experienced unexpected shaking under normal meteorological conditions.This study established a digital shadow of the building using three-dimensional displacement measurements based on super-resolution monocular vision,revealing the hidden structural dynamics and inherent mechanical reasons for the abnormal shaking.The proposed digital shadowing workflow is a feasible roadmap for developing vision-based digital shadows of realworld structures using low-cost cameras.The abnormal vibration event in the supertall building considered in this study is the first of its type worldwide.The results of this study offer practical strategies and invaluable insights into the prevention and mitigation of this type of global risk,thereby contributing to the lifespan extension of buildings in use worldwide.Furthermore,with the increasing number of general sensing devices,such as surveillance cameras in cities,the proposed method may unleash the immense potential of general sensing devices in achieving the leap from structural health monitoring to city health monitoring.展开更多
Background The evolution of product expectations in the era of mass personalization implies an improvement and a better control of individualized creation and production processes throughout the product lifecycle.The ...Background The evolution of product expectations in the era of mass personalization implies an improvement and a better control of individualized creation and production processes throughout the product lifecycle.The application of the digital twin seems to be a favoured solution in this context,but its study during the lifecycle of a product has only been partially evoked in the literature.Methods The purpose of this research is to identify the leverages and barriers to support the digital twin diffusion in the manufacturing industry from a technological,operational,and social standpoint.To determine these elements,this paper will identify current digital twins applications in the literature under two main dimensions:the type of digital twin,and its applications along the product lifecycle.To achieve this analysis a systematic literature review was carried out.The publications selection was based on the presence in these of a case of application of a digital twin with a focus in the Manufacturing sector.Within this review,188 scientific papers were comprehensively compiled and analyzed.Results Results showed that although the term digital twin is widely used,the deployment of digital twin technologies in manufacturing is still at an early stage as most of the reported digital twin applications were in fact prototypes focused on the real-time observability of the physical system,either for optimization or predictive maintenance.Moreover,regarding the product lifecycle,most of the applications have been focused on the production and operational phases whereas those at the design and disposal phases are still limited.Conclusions This paper presents an original approach to the study of digital twins,focusing simultaneously on the type of digital twin,the application area and the lifecycle phase.Under the basis of the obtained results,future perspectives on the use of digital twins along the lifecycle are proposed.展开更多
基金Estonian Research Competency Council,Grant/Award Number:PSG453,Eesti Teadusagentuur。
文摘Digital twin(DT)technology has been utilised in many applications including electric vehicles(EVs).A DT is a virtual representation of a physical object,enabled through real-time data integration,simulation,and optimisation tools.Unlike conventional simulations,which are typically offline and lack real-time interaction,a DT continuously synchronises with the physical system,enabling dynamic performance monitoring and predictive an-alytics.Achieving a full DT involves progressive stages,with the digital shadow(DS)being the final step before realising a bidirectional DT.Building a DS provides a scalable real-time performance monitoring and fault detection framework,enabling proactive decision-making in EV operations.This study introduces a DS system specifically designed to monitor the performance of a permanent magnet synchronous motor(PMSM)drive system in EVs,marking a critical phase towards a complete DT.The methodology for creating the DS is detailed,including the establishment of a compre-hensive test bench for the EV powertrain as the physical reference model.The mathe-matical model of the EV-PMSM was formulated,and an advanced estimation model utilising the extended Kalman filter(EKF)was implemented.MATLAB/Simulink was employed to develop the motor’s digital model.Real-time data acquisition from the physical model was facilitated through a data acquisition system(DAS)equipped with a controller area network(CAN)communication interface.The digital model underwent thorough validation against sensory data collected from the test bench.The motor digital model was deployed to a DS framework enabled through real-time data flow from the actual EV during real-world driving conditions.The results demonstrated a high accuracy of 97%between the DS predictions and the corresponding EV data,confirming the DS’s reliability.These findings pave the way for future advancements,including bidirectional interaction and the realisation of a full DT.
基金supported by the National Natural Science Foundation of China(52238011,52208456,and 52279145)the China National Postdoctoral Program for Innovative Talents(BX20220031)+1 种基金the Shenzhen Science and Technology Program(ZDSYS20210929115800001)the Shenzhen Major Science and Technology Program(KJZD20230923114310021)。
文摘Vision-based digital shadowing is a highly efficient way to monitor the health of buildings in use.However,previous studies on digital shadowing have been limited to laboratory experiments.This paper proposes a novel computer-vision-based digital shadow workflow and presents its successful application in a real engineering case.In this case,a 345.8-m supertall building experienced unexpected shaking under normal meteorological conditions.This study established a digital shadow of the building using three-dimensional displacement measurements based on super-resolution monocular vision,revealing the hidden structural dynamics and inherent mechanical reasons for the abnormal shaking.The proposed digital shadowing workflow is a feasible roadmap for developing vision-based digital shadows of realworld structures using low-cost cameras.The abnormal vibration event in the supertall building considered in this study is the first of its type worldwide.The results of this study offer practical strategies and invaluable insights into the prevention and mitigation of this type of global risk,thereby contributing to the lifespan extension of buildings in use worldwide.Furthermore,with the increasing number of general sensing devices,such as surveillance cameras in cities,the proposed method may unleash the immense potential of general sensing devices in achieving the leap from structural health monitoring to city health monitoring.
基金The work reported in this paper has been undertaken and funded as part of the H2020 INEDIT project(Project Grant Agreement N°869952).
文摘Background The evolution of product expectations in the era of mass personalization implies an improvement and a better control of individualized creation and production processes throughout the product lifecycle.The application of the digital twin seems to be a favoured solution in this context,but its study during the lifecycle of a product has only been partially evoked in the literature.Methods The purpose of this research is to identify the leverages and barriers to support the digital twin diffusion in the manufacturing industry from a technological,operational,and social standpoint.To determine these elements,this paper will identify current digital twins applications in the literature under two main dimensions:the type of digital twin,and its applications along the product lifecycle.To achieve this analysis a systematic literature review was carried out.The publications selection was based on the presence in these of a case of application of a digital twin with a focus in the Manufacturing sector.Within this review,188 scientific papers were comprehensively compiled and analyzed.Results Results showed that although the term digital twin is widely used,the deployment of digital twin technologies in manufacturing is still at an early stage as most of the reported digital twin applications were in fact prototypes focused on the real-time observability of the physical system,either for optimization or predictive maintenance.Moreover,regarding the product lifecycle,most of the applications have been focused on the production and operational phases whereas those at the design and disposal phases are still limited.Conclusions This paper presents an original approach to the study of digital twins,focusing simultaneously on the type of digital twin,the application area and the lifecycle phase.Under the basis of the obtained results,future perspectives on the use of digital twins along the lifecycle are proposed.
