Pub Date : 2023-06-28DOI: 10.1109/MetroAutomotive57488.2023.10219114
Andrea Zanellini, Stefano Pellegrini, Mariano Nerone, Igor Valic, Matteo Zauli, L. Marchi, N. Matteazzi, M. Violi, R. Rovatti
An increasing number of industrial applications require compact motors delivering high torque and power with maximum efficiency. If properly designed, Permanent Magnet Synchronous Motor (PMSMs) are capable to satisfy this needs. To fully unlock such capabilities, knowing and controlling precisely the thermal state of the motor is fundamental. In fact, high temperatures can be critical as they may cause insulation melting or magnets demagnetization. Due to the rotation, the direct measurement of rotor’s inner temperatures is an expensive and complex option, and we here estimate it from more accessible quantities. In particular we will show by experiments on an actual motor that estimations within few degrees of error can be obtained by feeding readings of external temperatures and of the motor electrical status into suitably trained neural architectures.
{"title":"Temperature Sensors Virtualization in High Performance Electric Motors","authors":"Andrea Zanellini, Stefano Pellegrini, Mariano Nerone, Igor Valic, Matteo Zauli, L. Marchi, N. Matteazzi, M. Violi, R. Rovatti","doi":"10.1109/MetroAutomotive57488.2023.10219114","DOIUrl":"https://doi.org/10.1109/MetroAutomotive57488.2023.10219114","url":null,"abstract":"An increasing number of industrial applications require compact motors delivering high torque and power with maximum efficiency. If properly designed, Permanent Magnet Synchronous Motor (PMSMs) are capable to satisfy this needs. To fully unlock such capabilities, knowing and controlling precisely the thermal state of the motor is fundamental. In fact, high temperatures can be critical as they may cause insulation melting or magnets demagnetization. Due to the rotation, the direct measurement of rotor’s inner temperatures is an expensive and complex option, and we here estimate it from more accessible quantities. In particular we will show by experiments on an actual motor that estimations within few degrees of error can be obtained by feeding readings of external temperatures and of the motor electrical status into suitably trained neural architectures.","PeriodicalId":115847,"journal":{"name":"2023 IEEE International Workshop on Metrology for Automotive (MetroAutomotive)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124995298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-28DOI: 10.1109/MetroAutomotive57488.2023.10219110
Rudolph C. Keil, Jan A. Tschorn, Johannes Tümler, M. Altinsoy
The increasing complexity of software-based functions in the automotive sector presents new challenges to the validation of such systems. Traditional processes and methods must be re-evaluated and, if necessary, modified. Virtual test methods using virtual Electronic Control Units (vECUs) can be a key enabler in this regard. However, as system complexity increases, so does the effort required to set up these test environments. This paper proposes an approach based on a specific example of how such efforts can be minimized. For this purpose, vECUs are used for brake control systems, which can be tested in a simulation environment. The AUTOSAR standard is used to simplify the system without changing the software functions. Specifically, the approach evaluates the Anti-lock Brake System (ABS) function based on certain evaluation criteria, enabling the neglect of functions that do not play a role in the evaluation. To validate the approach, a simulation environment was set up and compared to real vehicle measurements, enabling fast and cost-effective testing of a specific function with reliable results.
{"title":"Optimization of Automotive Software Tests by Simplification of the Bus Simulation","authors":"Rudolph C. Keil, Jan A. Tschorn, Johannes Tümler, M. Altinsoy","doi":"10.1109/MetroAutomotive57488.2023.10219110","DOIUrl":"https://doi.org/10.1109/MetroAutomotive57488.2023.10219110","url":null,"abstract":"The increasing complexity of software-based functions in the automotive sector presents new challenges to the validation of such systems. Traditional processes and methods must be re-evaluated and, if necessary, modified. Virtual test methods using virtual Electronic Control Units (vECUs) can be a key enabler in this regard. However, as system complexity increases, so does the effort required to set up these test environments. This paper proposes an approach based on a specific example of how such efforts can be minimized. For this purpose, vECUs are used for brake control systems, which can be tested in a simulation environment. The AUTOSAR standard is used to simplify the system without changing the software functions. Specifically, the approach evaluates the Anti-lock Brake System (ABS) function based on certain evaluation criteria, enabling the neglect of functions that do not play a role in the evaluation. To validate the approach, a simulation environment was set up and compared to real vehicle measurements, enabling fast and cost-effective testing of a specific function with reliable results.","PeriodicalId":115847,"journal":{"name":"2023 IEEE International Workshop on Metrology for Automotive (MetroAutomotive)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125498893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-28DOI: 10.1109/MetroAutomotive57488.2023.10219106
A. D. Femine, D. Gallo, C. Iodice, C. Landi, M. Luiso
Electric vehicle technology is an effective solution to environmental problems, but at the same time, e-vehicles are challenging from a metrological point of view. Range and efficiency are crucial for performance issues. Metrology should address those issues in order to provide valuable tools for designers and final customers. This paper deals with the realization and testing of a test bench to metrologically characterize electric vehicle main components in the energy conversion chain, from the mains to the wheels. The test bench has been realized for educational purposes during the class "Measurements for e-mobility and smart energy systems" at the University of Campania "Luigi Vanvitelli" (Aversa, Italy), and it can be used to estimate the energy efficiency of the whole power train or its components in the various operating conditions.
{"title":"Metrological Characterization of EV Power Train Efficiency","authors":"A. D. Femine, D. Gallo, C. Iodice, C. Landi, M. Luiso","doi":"10.1109/MetroAutomotive57488.2023.10219106","DOIUrl":"https://doi.org/10.1109/MetroAutomotive57488.2023.10219106","url":null,"abstract":"Electric vehicle technology is an effective solution to environmental problems, but at the same time, e-vehicles are challenging from a metrological point of view. Range and efficiency are crucial for performance issues. Metrology should address those issues in order to provide valuable tools for designers and final customers. This paper deals with the realization and testing of a test bench to metrologically characterize electric vehicle main components in the energy conversion chain, from the mains to the wheels. The test bench has been realized for educational purposes during the class \"Measurements for e-mobility and smart energy systems\" at the University of Campania \"Luigi Vanvitelli\" (Aversa, Italy), and it can be used to estimate the energy efficiency of the whole power train or its components in the various operating conditions.","PeriodicalId":115847,"journal":{"name":"2023 IEEE International Workshop on Metrology for Automotive (MetroAutomotive)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121396264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-28DOI: 10.1109/MetroAutomotive57488.2023.10219138
Giovanni Cappello, A. Angrisano, Silvia Ascione, S. Pizzo, C. Gioia, Gabriele Portelli, M. Susi, S. Gaglione
The importance of an accurate PNT (Position, Navigation, Timing) information is nowadays consolidated in the navigation field. Easy of use and robustness make Single Point Positioning (SPP) one of the most used techniques to compute navigation information, on the other hand, employing SPP may not lead to the achievement of the required performance, especially in challenging scenario. Different techniques or services could be used in order to achieve the target performance; in particular, the recent Galileo High Accuracy Service (HAS) could enhance the position accuracy. Several applications can benefit of HAS in particular geomatics, automotive, aviation, and maritime. This novel service provides corrections for orbits, code, phase, and satellite clock for Galileo and GPS (Global Positioning System) systems. Corrections are broadcast through the Galileo E6-B signal or other means (i.e., internet), and they have a global coverage. Even if HAS corrections are meant for the PPP (Precise Point Positioning) technique, in this study, they are applied to the SPP technique in order to assess the possible improvements in solution accuracy.
{"title":"Demonstrating Galileo Has in Single Point Positioning","authors":"Giovanni Cappello, A. Angrisano, Silvia Ascione, S. Pizzo, C. Gioia, Gabriele Portelli, M. Susi, S. Gaglione","doi":"10.1109/MetroAutomotive57488.2023.10219138","DOIUrl":"https://doi.org/10.1109/MetroAutomotive57488.2023.10219138","url":null,"abstract":"The importance of an accurate PNT (Position, Navigation, Timing) information is nowadays consolidated in the navigation field. Easy of use and robustness make Single Point Positioning (SPP) one of the most used techniques to compute navigation information, on the other hand, employing SPP may not lead to the achievement of the required performance, especially in challenging scenario. Different techniques or services could be used in order to achieve the target performance; in particular, the recent Galileo High Accuracy Service (HAS) could enhance the position accuracy. Several applications can benefit of HAS in particular geomatics, automotive, aviation, and maritime. This novel service provides corrections for orbits, code, phase, and satellite clock for Galileo and GPS (Global Positioning System) systems. Corrections are broadcast through the Galileo E6-B signal or other means (i.e., internet), and they have a global coverage. Even if HAS corrections are meant for the PPP (Precise Point Positioning) technique, in this study, they are applied to the SPP technique in order to assess the possible improvements in solution accuracy.","PeriodicalId":115847,"journal":{"name":"2023 IEEE International Workshop on Metrology for Automotive (MetroAutomotive)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133109182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-28DOI: 10.1109/MetroAutomotive57488.2023.10219132
T. Flores, Marianne Silva, Mariana Azevedo, Thaís Medeiros, Morsinaldo Medeiros, I. Silva, Max Mauro Dias Santos, Dan Costa
Among the main causes of road accidents, one of the most significant is related to driver distraction while driving, which is responsible for 18% of car accidents worldwide. This situation has demanded the development of mechanisms to automatically detect this dangerous behavior while driving. One of the computational solutions that has been considered viable to detect situations like this is the use of Convolutional Neural Networks (CNN), but some complex issues arise when deploying CNN models in microcontroller-based embedded devices with constrained processing and memory capabilities. In this context, this paper proposes a driver distraction detection system that achieves high accuracy (99.3%) and low latency (72ms) while requiring minimal computational resources (Peak- RAM of 164 KB and Flash of 52.7 KB). This solution exploiting Tiny Machine Learning (TinyML) algorithms was developed with the support of the Edge Impulse platform, used to perform the entire ML pipeline, from data pre-processing and ML model creation to deployment into an Arduino Portenta H7 board. By designing a driver assistance system that can be integrated into vehicles, it is expected that an affordable solution based on embedded machine learning is provided, tackling a real-world problem by potentially reducing accidents caused by driver distractions.
{"title":"TinyML for Safe Driving: The Use of Embedded Machine Learning for Detecting Driver Distraction","authors":"T. Flores, Marianne Silva, Mariana Azevedo, Thaís Medeiros, Morsinaldo Medeiros, I. Silva, Max Mauro Dias Santos, Dan Costa","doi":"10.1109/MetroAutomotive57488.2023.10219132","DOIUrl":"https://doi.org/10.1109/MetroAutomotive57488.2023.10219132","url":null,"abstract":"Among the main causes of road accidents, one of the most significant is related to driver distraction while driving, which is responsible for 18% of car accidents worldwide. This situation has demanded the development of mechanisms to automatically detect this dangerous behavior while driving. One of the computational solutions that has been considered viable to detect situations like this is the use of Convolutional Neural Networks (CNN), but some complex issues arise when deploying CNN models in microcontroller-based embedded devices with constrained processing and memory capabilities. In this context, this paper proposes a driver distraction detection system that achieves high accuracy (99.3%) and low latency (72ms) while requiring minimal computational resources (Peak- RAM of 164 KB and Flash of 52.7 KB). This solution exploiting Tiny Machine Learning (TinyML) algorithms was developed with the support of the Edge Impulse platform, used to perform the entire ML pipeline, from data pre-processing and ML model creation to deployment into an Arduino Portenta H7 board. By designing a driver assistance system that can be integrated into vehicles, it is expected that an affordable solution based on embedded machine learning is provided, tackling a real-world problem by potentially reducing accidents caused by driver distractions.","PeriodicalId":115847,"journal":{"name":"2023 IEEE International Workshop on Metrology for Automotive (MetroAutomotive)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124176005","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-28DOI: 10.1109/MetroAutomotive57488.2023.10219098
Fabian Ulreich, Elisabeth Moser, F. Olbrich, Martin Ebert, Rudolf Bierl, A. Kaup
To decrease the number of kilometers driven during the development of autonomous cars or driving assistance systems, performant simulation tools are necessary. Currently, domain distance effects between simulation and reality are limiting the successful application of rendering engines in data-driven perception tasks. In order to mitigate those domain distance effects, simulation tools have to be as close to reality as possible for the given task. For optical sensors like cameras, the luminance of the scene is essential. We provide within this paper a method to measure the luminance of rendered scenes within CARLA, an often used open-source simulation environment. Thereby, it is possible to validate the environment and weather models by taking real-world measurements with photometric sensors or with the help of open-source weather data, published e.g. by the German federal service for weather data (DWD - "Deutscher Wetterdienst"). Employing our proposed luminance measurement, the domain gap resulting from the simulation can be specified, which makes it possible to evaluate the statements about the safety of the automated driving system determined within the simulation. We show that the ratio between global and diffuse radiation modeled by the default atmosphere models within CARLA are under limited conditions similar to real-world measurements taken by the DWD. Nevertheless, we show, that the ratio’s temporal variability in real-world situations is not modeled by CARLA.
{"title":"Luminance Simulation in CARLA under Cloud Coverage - Model Validation and Implications","authors":"Fabian Ulreich, Elisabeth Moser, F. Olbrich, Martin Ebert, Rudolf Bierl, A. Kaup","doi":"10.1109/MetroAutomotive57488.2023.10219098","DOIUrl":"https://doi.org/10.1109/MetroAutomotive57488.2023.10219098","url":null,"abstract":"To decrease the number of kilometers driven during the development of autonomous cars or driving assistance systems, performant simulation tools are necessary. Currently, domain distance effects between simulation and reality are limiting the successful application of rendering engines in data-driven perception tasks. In order to mitigate those domain distance effects, simulation tools have to be as close to reality as possible for the given task. For optical sensors like cameras, the luminance of the scene is essential. We provide within this paper a method to measure the luminance of rendered scenes within CARLA, an often used open-source simulation environment. Thereby, it is possible to validate the environment and weather models by taking real-world measurements with photometric sensors or with the help of open-source weather data, published e.g. by the German federal service for weather data (DWD - \"Deutscher Wetterdienst\"). Employing our proposed luminance measurement, the domain gap resulting from the simulation can be specified, which makes it possible to evaluate the statements about the safety of the automated driving system determined within the simulation. We show that the ratio between global and diffuse radiation modeled by the default atmosphere models within CARLA are under limited conditions similar to real-world measurements taken by the DWD. Nevertheless, we show, that the ratio’s temporal variability in real-world situations is not modeled by CARLA.","PeriodicalId":115847,"journal":{"name":"2023 IEEE International Workshop on Metrology for Automotive (MetroAutomotive)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127743185","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-28DOI: 10.1109/MetroAutomotive57488.2023.10219095
G. Santos, Dan Costa
As technology advances and more complex systems are developed, it has become increasingly frequent for these systems to be expected to adhere to a growing number of requirements. This is exceptionally significant in safety-critical automotive-related systems, particularly when the inherent challenges of highly interconnected Smart Cities are considered. Although the AUTomative Open System ARchitecture (AUTOSAR) was created two decades ago to support the growing embedding of technologies in vehicles, in a combined effort to standardize the software and methodology of this industry, it is reasonable to wonder if it still complies with the demands of the rising scenario of autonomous smart vehicles which are expected to behave as active urban agents. In this context, this paper surveys the state-of-the-art in this area, focusing on some of the key concepts associated with AUTOSAR and how they relate to the most critical challenges of our age. Essential topics for smart mobility were addressed, notably common implementation issues, emerging use case scenarios, and security questions when bringing AUTOSAR to brighter interconnected urban scenarios.
{"title":"AUTOSAR in the Smart Cities Era: Current Developments and Research Trends","authors":"G. Santos, Dan Costa","doi":"10.1109/MetroAutomotive57488.2023.10219095","DOIUrl":"https://doi.org/10.1109/MetroAutomotive57488.2023.10219095","url":null,"abstract":"As technology advances and more complex systems are developed, it has become increasingly frequent for these systems to be expected to adhere to a growing number of requirements. This is exceptionally significant in safety-critical automotive-related systems, particularly when the inherent challenges of highly interconnected Smart Cities are considered. Although the AUTomative Open System ARchitecture (AUTOSAR) was created two decades ago to support the growing embedding of technologies in vehicles, in a combined effort to standardize the software and methodology of this industry, it is reasonable to wonder if it still complies with the demands of the rising scenario of autonomous smart vehicles which are expected to behave as active urban agents. In this context, this paper surveys the state-of-the-art in this area, focusing on some of the key concepts associated with AUTOSAR and how they relate to the most critical challenges of our age. Essential topics for smart mobility were addressed, notably common implementation issues, emerging use case scenarios, and security questions when bringing AUTOSAR to brighter interconnected urban scenarios.","PeriodicalId":115847,"journal":{"name":"2023 IEEE International Workshop on Metrology for Automotive (MetroAutomotive)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131427392","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-28DOI: 10.1109/MetroAutomotive57488.2023.10219113
S. Rinaldi, P. Bellagente, P. Ferrari, A. Flammini, M. Pasetti, E. Sisinni
Light electric vehicles (LEVs) are gaining popularity as an alternative to traditional Internal Combustion Engine (ICE) vehicles, particularly in urban areas. Electric bicycles, scooters, and mopeds are examples of LEVs. Several factors are driving the spread of LEVs, including environmental concerns, cost savings, and reduced congestion. LEV adoption is being aided by the advancement of battery technology and charging infrastructure, as well as government policies and incentives to encourage their use. However, there are some barriers to the widespread adoption of LEVs, such as safety concerns and the need for charging infrastructure improvements to support their use. This paper proposes the development of an Information and Communication Technology (ICT) platform for making the charging of LEVs using renewable resources more sustainable. The proposed platform is designed to manage LEV charging via solar sources while taking into account factors such as weather, charging demand, and available energy storage capacity. A web application for charging station operators and a cloud-based server for data storage and processing constitute the platform. The platform is intended to be scalable and customizable in order to meet the different requirements of various LEV charging scenarios. The proposed solution was tested in a pilot installation as part of the MoSoRe project, which was funded by the region of Lombardy in Italy. The findings of this study show the feasibility and potential benefits of using ICT solutions to optimize the charging of LEVs using renewable resources, such as lower carbon emissions, increased energy efficiency, and improved sustainability.
{"title":"Design of an ICT Platform for a Sustainable Charging of Light Electric Vehicles Using Renewable Resources","authors":"S. Rinaldi, P. Bellagente, P. Ferrari, A. Flammini, M. Pasetti, E. Sisinni","doi":"10.1109/MetroAutomotive57488.2023.10219113","DOIUrl":"https://doi.org/10.1109/MetroAutomotive57488.2023.10219113","url":null,"abstract":"Light electric vehicles (LEVs) are gaining popularity as an alternative to traditional Internal Combustion Engine (ICE) vehicles, particularly in urban areas. Electric bicycles, scooters, and mopeds are examples of LEVs. Several factors are driving the spread of LEVs, including environmental concerns, cost savings, and reduced congestion. LEV adoption is being aided by the advancement of battery technology and charging infrastructure, as well as government policies and incentives to encourage their use. However, there are some barriers to the widespread adoption of LEVs, such as safety concerns and the need for charging infrastructure improvements to support their use. This paper proposes the development of an Information and Communication Technology (ICT) platform for making the charging of LEVs using renewable resources more sustainable. The proposed platform is designed to manage LEV charging via solar sources while taking into account factors such as weather, charging demand, and available energy storage capacity. A web application for charging station operators and a cloud-based server for data storage and processing constitute the platform. The platform is intended to be scalable and customizable in order to meet the different requirements of various LEV charging scenarios. The proposed solution was tested in a pilot installation as part of the MoSoRe project, which was funded by the region of Lombardy in Italy. The findings of this study show the feasibility and potential benefits of using ICT solutions to optimize the charging of LEVs using renewable resources, such as lower carbon emissions, increased energy efficiency, and improved sustainability.","PeriodicalId":115847,"journal":{"name":"2023 IEEE International Workshop on Metrology for Automotive (MetroAutomotive)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126266395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-28DOI: 10.1109/MetroAutomotive57488.2023.10219102
G. V. Bögel, F. Essingholt, Bernhard Bennertz, T. Grenter
The article addresses a subproject of the Energy ECS project [1], in which the development and realization of suitable components for condition monitoring of electrical distribution grids is carried out. By means of suitable sensor systems, communication and IT infrastructure components, relevant information on network infrastructure elements at neuralgic points is collected, aggregated and communicated. This information can be used directly for a highly dynamic grid-serving control of grid components to ensure a robust and efficient use of the distribution grid. The project makes a direct contribution to the digitization of distribution grids and thus contributes to the successful integration of decentralized generators and electromobility. The main objective of the subproject is the development and realization of energy-autonomous sensor systems for recording the status of relevant components of a low-voltage distribution network. The work to be carried out includes sensor principles as well as the field of energy harvesting or the field of sensor signal processing.
{"title":"Digitization of the Distribution Grid to Support e-Mobility Charging Infrastructure","authors":"G. V. Bögel, F. Essingholt, Bernhard Bennertz, T. Grenter","doi":"10.1109/MetroAutomotive57488.2023.10219102","DOIUrl":"https://doi.org/10.1109/MetroAutomotive57488.2023.10219102","url":null,"abstract":"The article addresses a subproject of the Energy ECS project [1], in which the development and realization of suitable components for condition monitoring of electrical distribution grids is carried out. By means of suitable sensor systems, communication and IT infrastructure components, relevant information on network infrastructure elements at neuralgic points is collected, aggregated and communicated. This information can be used directly for a highly dynamic grid-serving control of grid components to ensure a robust and efficient use of the distribution grid. The project makes a direct contribution to the digitization of distribution grids and thus contributes to the successful integration of decentralized generators and electromobility. The main objective of the subproject is the development and realization of energy-autonomous sensor systems for recording the status of relevant components of a low-voltage distribution network. The work to be carried out includes sensor principles as well as the field of energy harvesting or the field of sensor signal processing.","PeriodicalId":115847,"journal":{"name":"2023 IEEE International Workshop on Metrology for Automotive (MetroAutomotive)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128220133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-28DOI: 10.1109/MetroAutomotive57488.2023.10219096
Paolo Caruso, M. Ferro, V. Paciello, Alessandro Ruggiero, D. Russo
The measurement of exposure to workplace vibration is important for employee health prevention. This exposure can come through use of powered-hand tools or hand-transmitted vibration (HTV). Workers can also be exposed to whole body vibration (WBV) by driving vehicles. With reference to the assessment of the risks deriving from the exposure of workers to vibrations (Title VIII - Chapter III of Italian Legislative Decree 81/08), this paper intends to briefly illustrate the methodology followed in the typical work situation of an italian transport company.
{"title":"Measurement and evaluation of vibration exposure in automotive workplace","authors":"Paolo Caruso, M. Ferro, V. Paciello, Alessandro Ruggiero, D. Russo","doi":"10.1109/MetroAutomotive57488.2023.10219096","DOIUrl":"https://doi.org/10.1109/MetroAutomotive57488.2023.10219096","url":null,"abstract":"The measurement of exposure to workplace vibration is important for employee health prevention. This exposure can come through use of powered-hand tools or hand-transmitted vibration (HTV). Workers can also be exposed to whole body vibration (WBV) by driving vehicles. With reference to the assessment of the risks deriving from the exposure of workers to vibrations (Title VIII - Chapter III of Italian Legislative Decree 81/08), this paper intends to briefly illustrate the methodology followed in the typical work situation of an italian transport company.","PeriodicalId":115847,"journal":{"name":"2023 IEEE International Workshop on Metrology for Automotive (MetroAutomotive)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130681687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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