Connected Electric Vehicle Optimized for Life, Value, Efficiency and Range

Risultati finali

Report on connectivity interface for simulation supported testing

Minimum requirements for the connectivity of the simulation-supported testing environment (both driver functions and OEM gateways) to the cloud-based emulated infrastructure, including the definition and origin of data sources, data format, transfer rates, etc.

Dissemination plan

"A report describing het initial disseminaiton plan, including a list of expected dissemination actions for the whole project duration and shortly after. This list will be a ""living"" document throughout the project. "

Short description of the setup of the dissemination tools (website, flyer, branding)

The launch of a public project website, accessible for the general public. A very short report will be uploaded with some key elements of the website and the dissemination tools

Report on specification of brand-independent E/E interfaces, communication protocols, interactions of VCU and cloud

Report will detail and document all of the agreements achieved in WP1 regarding the specification of interfaces, protocol and planned interactions with the cloud. All communication data will be limited to an agreed-upon brand-independent subset, as some data is security critical or IP blocked.

Input to the E-Volve cluster common book and common policy recommendations and advice towards the EC

Condensed summary of the findings of this project and outlook to further RI activities motivated by the results of this project

Report on brand-independent (or general) system level and controls requirements

Requirements for vehicle system architecture (electrical architecture, electrical consumers, etc.) and related control features based on outputs of parallel tasks 1.1 and 1.2, definition of VCU-to-cloud interfaces considering the leverage by 5G standards.

Report on use cases and methodology for developing user centric connected EVs optimised for lifetime, value, efficiency, and reach

Evaluation and characterization of use cases derived from cloud data provided by partners and recommendations how to exploit this information in the development process.

Demonstrator vehicle + OEM cloud with energy and thermal management functionality ready for test

Public description of the demonstrator vehicle and newly developed functionality

Pubblicazioni

European Innovation for Next Generation Electrified Vehicles and Components

Autori: Armengaud, Eric and Hegazy, Omar and Brandstätter, Bernhard and Ivanov, Valentin and Tatschl, Reinhard and De Gennaro, Michele and Sorniotti, Aldo and Van Mierlo, Joeri and Schernus, Christof
Pubblicato in: 2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE), 2019, ISBN 978-1-7281-0075-3
Editore: IEEE
DOI: 10.1109/iccve45908.2019.8964843

Towards Brand-Independent Architectures, Components and Systems for Next Generation Electrified Vehicles Optimised for the Infrastructure

Autori: Eric Armengaud, Bernhard Brandstätter, Matej Biček, Joze Buh, Aldo Sorniotti, Ahu Ece Hartavi, Christof Schernus, Thomas Geury, Stella Arapoglou, Marius Heydrich, Valentin Ivanov
Pubblicato in: SAE International Journal of Advances and Current Practices in Mobility-V131-99EJ, Numero 26419637, 2023, ISSN 2641-9637
Editore: Elsevier
DOI: 10.4271/2022-01-0918

Analysis of electric vehicle design and travel based on long trip capabilities

Autori: Brandes, Henrick; Faye, Ian; Döge, Volker
Pubblicato in: 8th Transport Research Arena TRA 2020, April 27-30, 2020, Helsinki, Finland (Conference was cancelled), 2020
Editore: TRA

Smart Driving and Charging Can Help Reconciliate Limited Battery Size and Long-Distance Trips for Electric Vehicles Without Compromising on Trip Time

Autori: Giovanni de Nunzio, Volker Döge, Ian Faye, Vittorio Ravello, Antonio Sciarretta, Patrizio Turco
Pubblicato in: TRA - Transport Research Arena, 2022
Editore: TRA2022

A Comprehensive Thermal Model For System-Level Electric Drivetrain Simulation With Respect To Heat Exchange Between Components

Autori: Bicheng Chen, Carsten Wulff, Konstantin Etzold, Patrick Manns, Georg Birmes, Jakob Andert, Stefan Pischinger
Pubblicato in: Proceedings of ITherm 2020 (IEEE), 2020
Editore: Institute for Combustion Engines, RWTH Aachen University

Real-time eco-driving for connected electric vehicles

Autori: Ngo, Caroline (Corresponding author) ; Solano-Araque, Edwin ; Aguado-Rojas, Missie ; Sciarretta, Antonio ; Chen, Bicheng (Corresponding author)* ; El Baghdadi, Mohamed (Corresponding author)
Pubblicato in: 6th IFAC Conference on Engine Powertrain Control, Simulation and Modeling E-COSM 2021, Numero IFAC-Papers Online 54(10), 2021, ISSN 2405-8963
Editore: Elsevier
DOI: 10.18154/rwth-2021-11057

Connected strategy for energy-efficient driving of electric vehicle: experimental results

Autori: Caroline Ngo (IFPEN), Frederik De Smet (Ford), Olivier Lemaire (IFPEN), Markus Espig (Ford), Giovanni De Nunzio (IFPEN), Antonio Sciarretta (IFPEN)
Pubblicato in: International Congress : SIA Powertrain & Energy 2022, 2022
Editore: SIA - Société des Ingénieurs de l'Automobile

A Parameterized Cloud-Connected Electro-thermal Modelling of a Battery Electric Vehicle

Autori: Sajib Chakraborty, Mohamed El Baghdadi, Joris Jaguemont, Cedric De Cauwer, Bicheng Chen, Alexander Wahl, Patrick Manns, Caroline Ngo, Antonio Sciarretta and Omar Hegazy
Pubblicato in: 2021 IEEE Vehicle Power and Propulsion Conference (VPPC), 2021
Editore: IEEE
DOI: 10.1109/vppc53923.2021.9699175

A Study of Scaling Laws for Thermal Parameters of Permanent Magnet Synchronous Machines

Autori: Bicheng Chen, Christian Monissen, Melih Ayyildiz, Georg Birmes, Jakob Andert, Stefan Pischinger
Pubblicato in: 2021 International Conference on Electrical Machines and Systems (ICEMS 2021), 2021
Editore: IEEE

A Time- and Energy-Optimal Routing Strategy for Electric Vehicles with Charging Constraints

Autori: Giovanni De Nunzio, Ibtihel Ben Gharbia, Antonio Sciarretta
Pubblicato in: 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), 2020, Pagina/e 1-8, ISBN 978-1-7281-4149-7
Editore: IEEE
DOI: 10.1109/itsc45102.2020.9294622

Efficiency Increase through Model Predictive Thermal Control of Electric Vehicle Powertrains

Autori: Alexander Wahl, Christoph Wellmann, Björn Krautwig, Patrick Manns, Bicheng Chen, Christof Schernus and Jakob Andert
Pubblicato in: Energies, Numero 19961073, 2022, ISSN 1996-1073
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/en15041476

Risultati finali

Pubblicazioni

Condividi questa pagina

Scarica