Digital Design
Connected Electric Truck Powertrain: Non-Invasive Fault Detection using Ultra-Low Power Edge AI Sensor Network
Audience:
Digital Design Professionals, Electric Vehicle Powertrain Designers, IoT and Big Data Experts
Digital Design Professionals, Electric Vehicle Powertrain Designers, IoT and Big Data Experts
Keyword:
Artificial Intelligence, E-Volve Cluster, Fault Detection Algorithms, Machine Learning, RHODaS, Sensor Technologies
Artificial Intelligence, E-Volve Cluster, Fault Detection Algorithms, Machine Learning, RHODaS, Sensor Technologies
Link:
IEEE Xplore
Powertrain Modularity & Integration
Experimental Evaluation of EMI and Efficiency in a Hybrid T-Type Wide-Bandgap Converter
Audience:
Electric Powertrain Researchers, Electric Vehicle Designers, Power Electronic Engineers
Electric Powertrain Researchers, Electric Vehicle Designers, Power Electronic Engineers
Keyword:
E-Volve Cluster, Fault Detection Algorithms, Fault-Tolerant Control, Poster, RHODaS, SiC/GaN Power Converters, Wide Bandgap Devices
E-Volve Cluster, Fault Detection Algorithms, Fault-Tolerant Control, Poster, RHODaS, SiC/GaN Power Converters, Wide Bandgap Devices
Link:
Zenodo
Powertrain Modularity & Integration
Experimental results and validation of lab-scale power converters prototypes
This document provides a comprehensive report on the activities related to the experimental validation of lab-scale power converter prototypes.
Audience:
Academia and Research Institutions, Automotive Industry Policymakers, Electric Vehicle Manufacturers, Electric Vehicle Powertrain Designers, Environmental and Energy Efficiency Experts, EU Policymakers, Fleet Managers and Operators, Government And Regulatory Agencies, Heavy-Duty Vehicle Producers, Logistics and Freight Operators, Power Electronic Engineers
Academia and Research Institutions, Automotive Industry Policymakers, Electric Vehicle Manufacturers, Electric Vehicle Powertrain Designers, Environmental and Energy Efficiency Experts, EU Policymakers, Fleet Managers and Operators, Government And Regulatory Agencies, Heavy-Duty Vehicle Producers, Logistics and Freight Operators, Power Electronic Engineers
Keyword:
E-Volve Cluster, Fault Detection Algorithms, Heavy-Duty Electric Transport, Power Converters, Power Electronics, RHODaS, SiC and GaN Devices, SiC/GaN Power Converters
E-Volve Cluster, Fault Detection Algorithms, Heavy-Duty Electric Transport, Power Converters, Power Electronics, RHODaS, SiC and GaN Devices, SiC/GaN Power Converters
Link:
Rhodas deliverable
Powertrain Modularity & Integration
Fault Tolerant Control of SiC/GaN Power Converters
This document describes fault-tolerant control strategies for the SiC/GaN power converter and the eMotor of the RHODaS integrated motor drive (IMD).
Audience:
Automotive Industry Professionals, Control Systems Developers, Electrical Engineering Researchers, Electrical Engineers, Power Electronics Researchers
Automotive Industry Professionals, Control Systems Developers, Electrical Engineering Researchers, Electrical Engineers, Power Electronics Researchers
Keyword:
E-Volve Cluster, Electric Motors, Fault Detection Algorithms, Fault-Tolerant Control, Integrated Motor Drive, Power Converters, RHODaS, SiC/GaN Power Converters
E-Volve Cluster, Electric Motors, Fault Detection Algorithms, Fault-Tolerant Control, Integrated Motor Drive, Power Converters, RHODaS, SiC/GaN Power Converters