2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)最新文献
Pub Date : 2019-08-01DOI: 10.1109/EEEIC.2019.8783448
M. Babar, M. Roos, P. Nguyen
Now the design of energy system requires needowners to play an active role by using advanced technical solutions to improve their responsiveness, process adaptability and empower end-users. Although need-owners via Demand Response (DR) has gain sufficient strategic improvement in energy management recently, there are still some fundamental impediments to achieve a trade-off between demand flexibility scheduling and dispatch. To find a solution to the challenge, the paper introduces the steps of an agile development process for energy systems, refers to a co-creation of solutions based on co-existing technologies and iterative development, where needowners requirements and solutions evolve through collaboration between cross-functional intelligent agents. The proof-of-the-concept is investigated by agent-oriented simulation for a generic low-voltage network of the Netherlands, which encounters transformer congestion. Simulation results reveal a significant reduction in congestion over a year while confirming expected levels of performance.
{"title":"Agile Development Process and User-centric Data Driven Design for an Integrated Energy System","authors":"M. Babar, M. Roos, P. Nguyen","doi":"10.1109/EEEIC.2019.8783448","DOIUrl":"https://doi.org/10.1109/EEEIC.2019.8783448","url":null,"abstract":"Now the design of energy system requires needowners to play an active role by using advanced technical solutions to improve their responsiveness, process adaptability and empower end-users. Although need-owners via Demand Response (DR) has gain sufficient strategic improvement in energy management recently, there are still some fundamental impediments to achieve a trade-off between demand flexibility scheduling and dispatch. To find a solution to the challenge, the paper introduces the steps of an agile development process for energy systems, refers to a co-creation of solutions based on co-existing technologies and iterative development, where needowners requirements and solutions evolve through collaboration between cross-functional intelligent agents. The proof-of-the-concept is investigated by agent-oriented simulation for a generic low-voltage network of the Netherlands, which encounters transformer congestion. Simulation results reveal a significant reduction in congestion over a year while confirming expected levels of performance.","PeriodicalId":422977,"journal":{"name":"2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121286119","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 : 2019-08-01DOI: 10.1109/EEEIC.2019.8783624
Muhammad Babar, M. Roos, Phuong H. Nguyen
Although congestion management via Demand Response (DR) has gain sufficient popularity recently, there are still some fundamental impediments to achieve a trade-off between demand flexibility scheduling and demand flexibility dispatch for congestion management. To find a solution to the challenge, the paper introduces the concept and design of an Agile Net, which is an agile control strategy for congestion management. The model of Agile Net has triple cores. First, it percepts the network environment by using the concept of demand elasticity. Second, it possesses an online model-free learning technique for the management of network externality, such as congestion. Third, it enables distributed system scalability. The efficiency of the proposed Agile Net is investigated by extending the simulation tool for DR paradigm for a generic low-voltage network of the Netherlands. Simulation results reveal a significant reduction in congestion over a year while confirming expected levels of performance.
{"title":"Machine Learning for Agile and Self-Adaptive Congestion Management in Active Distribution Networks","authors":"Muhammad Babar, M. Roos, Phuong H. Nguyen","doi":"10.1109/EEEIC.2019.8783624","DOIUrl":"https://doi.org/10.1109/EEEIC.2019.8783624","url":null,"abstract":"Although congestion management via Demand Response (DR) has gain sufficient popularity recently, there are still some fundamental impediments to achieve a trade-off between demand flexibility scheduling and demand flexibility dispatch for congestion management. To find a solution to the challenge, the paper introduces the concept and design of an Agile Net, which is an agile control strategy for congestion management. The model of Agile Net has triple cores. First, it percepts the network environment by using the concept of demand elasticity. Second, it possesses an online model-free learning technique for the management of network externality, such as congestion. Third, it enables distributed system scalability. The efficiency of the proposed Agile Net is investigated by extending the simulation tool for DR paradigm for a generic low-voltage network of the Netherlands. Simulation results reveal a significant reduction in congestion over a year while confirming expected levels of performance.","PeriodicalId":422977,"journal":{"name":"2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127700598","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 : 2019-06-11DOI: 10.1109/EEEIC.2019.8783310
D. Petrisor, C. Galatanu, C. Haba, L. Breniuc
This paper presents an image processing method designed to measure a list of predefined color quality metrics of LED light sources. The measurement process relies on a CMOS imaging sensor with known sensitivity in the spectrum of 400 to 1000nm, high dynamic range and low noise. The proposed measurement method acquires images of target LED light sources, with known CCT, applies corrections to the data considering the sensor spectral sensitivity and then computes the color quality metrics. The method characterizes the color quality of the analyzed LED light source by means of the following metrics: Correlated Color Temperature (CCT), Delta uv (Duv) and Standard Deviation Color Matching (SDMC).
{"title":"Color Quality Measurements of LED Light Sources Using Image Processing","authors":"D. Petrisor, C. Galatanu, C. Haba, L. Breniuc","doi":"10.1109/EEEIC.2019.8783310","DOIUrl":"https://doi.org/10.1109/EEEIC.2019.8783310","url":null,"abstract":"This paper presents an image processing method designed to measure a list of predefined color quality metrics of LED light sources. The measurement process relies on a CMOS imaging sensor with known sensitivity in the spectrum of 400 to 1000nm, high dynamic range and low noise. The proposed measurement method acquires images of target LED light sources, with known CCT, applies corrections to the data considering the sensor spectral sensitivity and then computes the color quality metrics. The method characterizes the color quality of the analyzed LED light source by means of the following metrics: Correlated Color Temperature (CCT), Delta uv (Duv) and Standard Deviation Color Matching (SDMC).","PeriodicalId":422977,"journal":{"name":"2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126556487","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 : 2019-06-11DOI: 10.1109/EEEIC.2019.8783404
Chathura Wanigasekara, D. Almakhles, A. Swain, S. Nguang, Umashankar Subramaniyan, Sanjeevikumar Padmanaban
During the past decade, networked control systems (NCS) has emerged as a viable alternative to traditional control systems due to various advantages it offers which include a reduction in system wiring, increase of system agility etc. However, the performance of various existing controllers such as PID degrades in the networked environment due to the existence of random time-varying delay, packet-dropouts which may cause instability. The present study designs a neural network (NN) based controller for NCS and investigates its performance under random time-varying delay, packet-dropouts. The performance of this controller is compared with both the classical PID and ΔΣ-based PID controllers. The robustness of the NN based controllers in the networked environment is studied under different degree of parametric uncertainties considering an example of a DC servo mechanism. The results of the comparative investigation demonstrate that the performance of the NN based controller is superior compared to other controllers.
{"title":"Performance of Neural Network Based Controllers and ΔΣ-Based PID Controllers for Networked Control Systems: A Comparative Investigation","authors":"Chathura Wanigasekara, D. Almakhles, A. Swain, S. Nguang, Umashankar Subramaniyan, Sanjeevikumar Padmanaban","doi":"10.1109/EEEIC.2019.8783404","DOIUrl":"https://doi.org/10.1109/EEEIC.2019.8783404","url":null,"abstract":"During the past decade, networked control systems (NCS) has emerged as a viable alternative to traditional control systems due to various advantages it offers which include a reduction in system wiring, increase of system agility etc. However, the performance of various existing controllers such as PID degrades in the networked environment due to the existence of random time-varying delay, packet-dropouts which may cause instability. The present study designs a neural network (NN) based controller for NCS and investigates its performance under random time-varying delay, packet-dropouts. The performance of this controller is compared with both the classical PID and ΔΣ-based PID controllers. The robustness of the NN based controllers in the networked environment is studied under different degree of parametric uncertainties considering an example of a DC servo mechanism. The results of the comparative investigation demonstrate that the performance of the NN based controller is superior compared to other controllers.","PeriodicalId":422977,"journal":{"name":"2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121120765","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 : 2019-06-11DOI: 10.1109/EEEIC.2019.8783795
Mohamed Salem, V. Ramachandaramurthy, P. Sanjeevikumar, Zbigniew Leonowicz, V. Yaramasu
This work suggests a three-phase interleaved multi LLC resonant converter with variable frequency control. The suggested converter yields high gain of the voltage with Zero Voltage Switching (ZVS) for all primary active switches. The converter accomplishes significant load variation using variable frequency control, whereby the converter gain is studied with regards to the tank impedance that is based on the relation of the switching frequency to the resonant frequency. Furthermore, the use of magnetizing inductance guarantees zero voltage switching for all switches. Matlab/Simulink was used to simulate the suggested converter. The proposed converter is proven to offer a wide load variation up to 36% of the full load, with 400V input and 2.5 kV/2.77 A output based on the simulation results.
{"title":"Full Bridge LLC Resonant Three-Phase Interleaved Multi Converter For HV Applications","authors":"Mohamed Salem, V. Ramachandaramurthy, P. Sanjeevikumar, Zbigniew Leonowicz, V. Yaramasu","doi":"10.1109/EEEIC.2019.8783795","DOIUrl":"https://doi.org/10.1109/EEEIC.2019.8783795","url":null,"abstract":"This work suggests a three-phase interleaved multi LLC resonant converter with variable frequency control. The suggested converter yields high gain of the voltage with Zero Voltage Switching (ZVS) for all primary active switches. The converter accomplishes significant load variation using variable frequency control, whereby the converter gain is studied with regards to the tank impedance that is based on the relation of the switching frequency to the resonant frequency. Furthermore, the use of magnetizing inductance guarantees zero voltage switching for all switches. Matlab/Simulink was used to simulate the suggested converter. The proposed converter is proven to offer a wide load variation up to 36% of the full load, with 400V input and 2.5 kV/2.77 A output based on the simulation results.","PeriodicalId":422977,"journal":{"name":"2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","volume":"4 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114375436","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 : 2019-06-11DOI: 10.1109/EEEIC.2019.8783793
L. Pugi, M. Delogu, F. Grasso, L. Berzi, F. Del Pero, Raffaele Savi, Enrico Boni
There is an increasing interest in the development of trenchless digging technologies in order to reduce the environmental impact of infrastructural interventions in crowded urban areas. In this work authors describe some preliminary activities concerning the complete electrification of these machines in order to further reduce their impact in terms of equivalent emissions especially in the urban construction yard in which they are applied.
{"title":"Electrification of Directional Drilling Machines for Sustainable Trenchless Excavations","authors":"L. Pugi, M. Delogu, F. Grasso, L. Berzi, F. Del Pero, Raffaele Savi, Enrico Boni","doi":"10.1109/EEEIC.2019.8783793","DOIUrl":"https://doi.org/10.1109/EEEIC.2019.8783793","url":null,"abstract":"There is an increasing interest in the development of trenchless digging technologies in order to reduce the environmental impact of infrastructural interventions in crowded urban areas. In this work authors describe some preliminary activities concerning the complete electrification of these machines in order to further reduce their impact in terms of equivalent emissions especially in the urban construction yard in which they are applied.","PeriodicalId":422977,"journal":{"name":"2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125468888","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 : 2019-06-11DOI: 10.1109/EEEIC.2019.8783602
J. Borkowski, D. Kania
This paper presents the influence of the number of A/D converter bits b on frequency estimation errors in a new method based on GMSD time windows, the FFT procedure and three points of the spectrum. Estimation errors are inversely proportional to 2^b and to the square root of the number of samples N in the measurement window. Simulation results are presented for practical applications for b in the range from 8 to 24 and N in the range from 32 to 2048. Proposed equations for rough upper limits of estimation errors allow to determine the accuracy and choose the A/D converter in the real time application.
{"title":"Influence of A/D quantization in a renewable energy system using Generalized Maximum Sidelobe Decay windows for the frequency estimation","authors":"J. Borkowski, D. Kania","doi":"10.1109/EEEIC.2019.8783602","DOIUrl":"https://doi.org/10.1109/EEEIC.2019.8783602","url":null,"abstract":"This paper presents the influence of the number of A/D converter bits b on frequency estimation errors in a new method based on GMSD time windows, the FFT procedure and three points of the spectrum. Estimation errors are inversely proportional to 2^b and to the square root of the number of samples N in the measurement window. Simulation results are presented for practical applications for b in the range from 8 to 24 and N in the range from 32 to 2048. Proposed equations for rough upper limits of estimation errors allow to determine the accuracy and choose the A/D converter in the real time application.","PeriodicalId":422977,"journal":{"name":"2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132239406","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 : 2019-06-11DOI: 10.1109/EEEIC.2019.8783251
V. Narayanan, S. Kewat, Bhim Singh
A standalone solar photovoltaic (PV)- battery energy storage (BES)- diesel generator (DG) based microgrid system is presented in this paper. The BES is integrated directly to the DC link of the voltage source converter (VSC). This system functions PV array maximum power extraction along with improvement of power quality such as harmonics elimination, reactive power compensation and balancing of DG currents. The PV array is integrated to the DC link of the VSC through a DC-DC boost converter. An automatic voltage regulator (AVR) is used to regulate the output voltage of the DG to the desired value. The performance of the standalone hybrid microgrid is studied under various operating conditions in the laboratory environment.
{"title":"Standalone PV-BES-DG Based Microgrid with Power Quality Improvements","authors":"V. Narayanan, S. Kewat, Bhim Singh","doi":"10.1109/EEEIC.2019.8783251","DOIUrl":"https://doi.org/10.1109/EEEIC.2019.8783251","url":null,"abstract":"A standalone solar photovoltaic (PV)- battery energy storage (BES)- diesel generator (DG) based microgrid system is presented in this paper. The BES is integrated directly to the DC link of the voltage source converter (VSC). This system functions PV array maximum power extraction along with improvement of power quality such as harmonics elimination, reactive power compensation and balancing of DG currents. The PV array is integrated to the DC link of the VSC through a DC-DC boost converter. An automatic voltage regulator (AVR) is used to regulate the output voltage of the DG to the desired value. The performance of the standalone hybrid microgrid is studied under various operating conditions in the laboratory environment.","PeriodicalId":422977,"journal":{"name":"2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116461209","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 : 2019-06-11DOI: 10.1109/EEEIC.2019.8783233
Shahabodin Afrasiabi, M. Afrasiabi, Benyamin Parang, M. Mohammadi, M. Arefi, Mohammad Rastegar
Condition monitoring of wind turbines (WTs) has attracted a great deal of attention due to fast development of WTs. The inherent intermittence of wind energy and locating WTs in remote areas, makes designing proper fault diagnosing method difficult. To address this issue, we have proposed a two-block deep learning based method in this paper, which encapsulates two feature extraction and classification stages in an end-to-end architecture. In the designed method, we have utilized generative adversarial network (GAN) as feature extraction block and temporal convolutional neural network (TCNN) as fault classifier block. The proposed structure benefits from the leverage GAN and TCNN. The simulation results based on real-data from a 3 MGW WT in Ireland, which is obtained from supervisory control and data acquisition system (SCADA) demonstrates that it is a suitable alternative for WTs’ fault classification. To show the superiority of the proposed method, the results are compared with support vector machine (SVM) and feed-forward neural network (FFNN).
{"title":"Wind Turbine Fault Diagnosis with Generative-Temporal Convolutional Neural Network","authors":"Shahabodin Afrasiabi, M. Afrasiabi, Benyamin Parang, M. Mohammadi, M. Arefi, Mohammad Rastegar","doi":"10.1109/EEEIC.2019.8783233","DOIUrl":"https://doi.org/10.1109/EEEIC.2019.8783233","url":null,"abstract":"Condition monitoring of wind turbines (WTs) has attracted a great deal of attention due to fast development of WTs. The inherent intermittence of wind energy and locating WTs in remote areas, makes designing proper fault diagnosing method difficult. To address this issue, we have proposed a two-block deep learning based method in this paper, which encapsulates two feature extraction and classification stages in an end-to-end architecture. In the designed method, we have utilized generative adversarial network (GAN) as feature extraction block and temporal convolutional neural network (TCNN) as fault classifier block. The proposed structure benefits from the leverage GAN and TCNN. The simulation results based on real-data from a 3 MGW WT in Ireland, which is obtained from supervisory control and data acquisition system (SCADA) demonstrates that it is a suitable alternative for WTs’ fault classification. To show the superiority of the proposed method, the results are compared with support vector machine (SVM) and feed-forward neural network (FFNN).","PeriodicalId":422977,"journal":{"name":"2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121992132","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 : 2019-06-11DOI: 10.1109/EEEIC.2019.8783402
Alec Tokosch, Donald J. Hake, K. Meah, J. Maier
This paper describes the design and implementation of a drivetrain for a Formula Society of Automotive Engineers (FASE) electric vehicle. The specifications used to design the system were provided by SAE in the Formula Hybrid SAE rules. The custom designed central Tractive System Control Board (TSCB) communicates with the Supervisory Control and Data Acquisition (SCADA) system, motor controller, Accumulator Isolation Relays (AIR), and the Battery Management System (BMS) of the vehicle. A detailed description of the TSCB and its integration with the vehicle systems, as well as test-drive results, are presented.
{"title":"Design and Implementation of a Drivetrain for an FSAE Electric Vehicle","authors":"Alec Tokosch, Donald J. Hake, K. Meah, J. Maier","doi":"10.1109/EEEIC.2019.8783402","DOIUrl":"https://doi.org/10.1109/EEEIC.2019.8783402","url":null,"abstract":"This paper describes the design and implementation of a drivetrain for a Formula Society of Automotive Engineers (FASE) electric vehicle. The specifications used to design the system were provided by SAE in the Formula Hybrid SAE rules. The custom designed central Tractive System Control Board (TSCB) communicates with the Supervisory Control and Data Acquisition (SCADA) system, motor controller, Accumulator Isolation Relays (AIR), and the Battery Management System (BMS) of the vehicle. A detailed description of the TSCB and its integration with the vehicle systems, as well as test-drive results, are presented.","PeriodicalId":422977,"journal":{"name":"2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132807125","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}
2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
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