ELIV 2021

doi:10.51202/9783181023846

ELIV 2021

Reihe: VDI-Berichte

Band 2384 1. Auflage 2021

Teilzugriff

doi.org/10.51202/9783181023846
ISBN print: 978-3-18-092384-0
ISBN online: 978-3-18-102384-6
VDI Verlag, Düsseldorf VDI Verlag, Düsseldorf

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Zusammenfassung

Foreword

Start-up future

It has felt like Covid-19 had a stranglehold on us. But we haven‘t allowed ourselves to be defeated. On the contrary, we are taking advantage of the opportunities that arise as a result. Not only the long-overdue push towards digitalization, for example, but also the time gained by making fewer journeys. Those who show strength now and position themselves for the future will win. And that is exactly the reason why we have been preparing ELIV 2021 with such a lot of enthusiasm.

As usual, we have prepared an up-to-date program with the familiar mixture of technically demanding and strategic papers and are sure that the ELIV platform will once again be a trendsetter for the automotive industry.

The CASE megatrends (Connected, Autonomous, Shared, Electric) continue to disrupt the industry. In the Connect environment, there is still a struggle for user-friendly services and competition amongst digital ecosystems is in full swing. The entry of powerful central computers into electronic architectures poses major challenges for all parties involved.

On the way from Level 2 to Levels 3, 4 and 5 all manufacturers are cur...

Schlagworte

Automatisiertes Fahren automated driving smart sensor infrastructure-assisted perception hybrid collaborated positioning automated parking radar simulation trajectory tracking operational fleet data grapf-based vehicle diagnostics machine learning vehicle health management

Kapitel Ausklappen | EinklappenAutorenSeiten
I–XIV Titelei/Inhaltsverzeichnis I–XIV
1–4 Forword 1–4
5–104 Automated Driving 5–104
- 5–16 Collaborative Development of a Test Environment for Automated Driving T. Fricke, F. Schuck, J. Vogelpoh, J. Ax, R. Stolpe, H. Amelunxen T. Fricke, F. Schuck, J. Vogelpoh, J. Ax, R. Stolpe, H. Amelunxen 5–16
- 17–28 Reliable Validation of Highly Automated Driving Functions by Increasing the Virtualization Level of High Performance Computing Platforms and Smart Sensors S. Wonneberger, S. Balci S. Wonneberger, S. Balci 17–28
- 29–44 Removing Blind Spots – Infrastructure-assisted Collective Perception F. A. Schiegg, I. Llatser, H. Tchouankem, T. Frye, F. Wildschutte, F. Hofmann F. A. Schiegg, I. Llatser, H. Tchouankem, T. Frye, F. Wildschutte, F. Hofmann 29–44
- 45–46 HERE HD Live Map – more than a sensor for Automated Driving C. Hurasky C. Hurasky 45–46
- 47–60 Hybrid collaborative positioning/navigation scheme for performance enhancements and local perception improvement for automated driving D. Bartlett, S. Sesia, T. Yuan Liu D. Bartlett, S. Sesia, T. Yuan Liu 47–60
- 61–74 The Evolution of Automation in Parking – Assisted, Automated, Autonomous A. Hohm, B. Hartmann, S. Khodaverdian, D. Bosch, B. Lattke, P. Keck A. Hohm, B. Hartmann, S. Khodaverdian, D. Bosch, B. Lattke, P. Keck 61–74
- 75–82 Trajectory tracking using Neural Network for Autonomous Driving Systems L. Gonzales-Fuentes, M. Harihar, M. Cassol L. Gonzales-Fuentes, M. Harihar, M. Cassol 75–82
- 83–94 Ansys Real Time Physics Based Radar Simulation – An Enabler for Machine Learning in the Context of Autonomous Driving K. Saad, A. Sligar, R. Kipp, J. Decker, D. Rey, S. M. Canta K. Saad, A. Sligar, R. Kipp, J. Decker, D. Rey, S. M. Canta 83–94
- 95–104 Automated Driving – How cloud infrastructure plays a vital role in future of validation for Automated Driving? M. Rath, N. KN, A. K. Laxminarayana, R. Tandon M. Rath, N. KN, A. K. Laxminarayana, R. Tandon 95–104
105–142 Data Analytics 105–142
- 105–116 Chassis Health Management – End-to-End Architecture and Methods J. Klesing, P. Schmitt J. Klesing, P. Schmitt 105–116
- 117–130 A new perspective for manufacturers: Cloud-based utilization of operational fleet data F. von Bulow, F. Heinrich, T. Meisen F. von Bulow, F. Heinrich, T. Meisen 117–130
- 131–142 Graph-based Vehicle Diagnostics using Machine Learning M. Gresser, M. Mende, M. D. Rabe, B. Baker, A. Unger M. Gresser, M. Mende, M. D. Rabe, B. Baker, A. Unger 131–142
143–186 AI – Self learning vehicles 143–186
- 143–150 AI-based Signal Integrity Monitoring for Integrated Vehicle Health Management S. Apartsin, H. Stein, G. Reiter, K. Williams S. Apartsin, H. Stein, G. Reiter, K. Williams 143–150
- 151–162 Make AI Testing Meaningful – From Understanding to Mastering of AI Testing U. Bodenhausen U. Bodenhausen 151–162
- 163–174 Machine learning approach towards remote diagnostics and repair of electric vehicle charging processes K. Renatus, A. Unger, B. Baker, O. Manicke K. Renatus, A. Unger, B. Baker, O. Manicke 163–174
- 175–186 A new approach to make Autonomous Driving safe – How to drive a SOTIF process for a level 4 driverless automated driving system Subhead S. Fulster, S. Hempel, R. Meyfarth S. Fulster, S. Hempel, R. Meyfarth 175–186
187–214 Software Technologies 187–214
- 187–196 Automotive Software Development – Is it Different? S. Kraus S. Kraus 187–196
- 197–204 Combined application of agile practices and functional safety in automotive software development S. Kuhn S. Kuhn 197–204
- 205–214 Model-Based Systems Engineering accelerated O. Kath O. Kath 205–214
215–236 Software 215–236
- 215–222 Transformation of the Software Integration Process C. Schwager C. Schwager 215–222
- 223–236 Automotive digital twin: An approach for isolating and virtual validating of software updates in end-to-end architectures based on customer vehicles T. Fuchs, O. Manicke, M. Zinser, B. Baker T. Fuchs, O. Manicke, M. Zinser, B. Baker 223–236
237–308 Software Technologies 237–308
- 237–244 Virtual software platform for the car – On the road to the next paradigm shift with VIRTIO standards I. Trefz I. Trefz 237–244
- 245–256 AUTOSAR Vehicle Operating System (AVOS) – The Safe and Secure Framework for Automotive System Architectures G. Reichart, R. Asmus, B. Mattner G. Reichart, R. Asmus, B. Mattner 245–256
- 257–272 The Case for an Open Integrating Operating System, Middleware Specification Development Approach A. Knoll A. Knoll 257–272
- 273–284 Paving the way for the „Software Defined Vehicle“ M. Schleicher M. Schleicher 273–284
- 285–294 An Eco-System for the Development of Automotive Innovation Roadmaps B. Hellenthal, C. Grimm, J. Koch, A. Breckel, M. Tichy B. Hellenthal, C. Grimm, J. Koch, A. Breckel, M. Tichy 285–294
- 295–308 Future Collaboration Ecosystem for Automotive Microelectronic Innovation Processes C. Heer, J. C. Gobel, D. Mollahassani, S. Forte C. Heer, J. C. Gobel, D. Mollahassani, S. Forte 295–308
309–394 Electronics Innovation 309–394
- 309–316 CAN XL: The third CAN protocol generation H. Zeltwanger H. Zeltwanger 309–316
- 317–330 Perceptive Advanced Car-driver Drowsiness Monitoring Neuro-Embedded System F. Rundo F. Rundo 317–330
- 331–338 Active Acoustics Innovations Supported by Tuning & Prediction Tools Z. Hermon Z. Hermon 331–338
- 339–350 Digital Light for Digital Live M. Kruppa M. Kruppa 339–350
- 351–354 Experience: Driven – The role of in-cabin audio in the vehicles of tomorrow P. Kosak P. Kosak 351–354
- 355–366 User Experience – The key to successfully combining electric mobility and connectivity A. Matarage A. Matarage 355–366
- 367–380 Augmented Reality Guidance based on 6D Positioning and HD Lanes C. Cremers, P. Hubertus, R. Laszlo, M. Pfeifle, O. Muratov C. Cremers, P. Hubertus, R. Laszlo, M. Pfeifle, O. Muratov 367–380
- 381–388 ShyTech Displays – Enabling a new era of puristic vehicle design and enhanced user experience F. Rabe F. Rabe 381–388
- 389–394 Adaptive Driving Beam [1] – The next mandatory Safety System? W. Huhn W. Huhn 389–394
395–458 End-2-End Architecture 395–458
- 395–408 Architecting for Secure, Safe and Agile Software Defined Vehicles – Learnings from the Personal Computer industry S. Selitrennikoff, M. Ortegon-Cabrera S. Selitrennikoff, M. Ortegon-Cabrera 395–408
- 409–422 Applying Standards for future Vehicle Diagnostic and Vehicle Lifecycle Management O. Meyer, B. Bohlen O. Meyer, B. Bohlen 409–422
- 423–426 Electric Systems – Simplified and standardized engineering for sophisticated automotive electric/ electronics R. Milke R. Milke 423–426
- 427–428 New architecture approaches and their impact on automotive wiring harness O. Bettgens O. Bettgens 427–428
- 429–434 New Automotive E/E architecture and how TC4xx enables it – From domain-based to zone-based approach K. Heurtefeux, M. Kumar, M. Cassol K. Heurtefeux, M. Kumar, M. Cassol 429–434
- 435–446 A Safety-Certified Vehicle OS to Enable Software-Defined Vehicles J. Becker, D. Pangercic J. Becker, D. Pangercic 435–446
- 447–458 Safety Architectures for Automotive Cross Domain Servers – Challenges and Potentials D. Geyer, C. Miedl D. Geyer, C. Miedl 447–458
459–522 E-Mobility 459–522
- 459–474 Wireless Charging for Electric Vehicles with its Boundary Conditions – A Contribution for Market Breakthrough M. Bottigheimer, T. Lammle, C. Lammle, V. Schall, A. Wiebelt M. Bottigheimer, T. Lammle, C. Lammle, V. Schall, A. Wiebelt 459–474
- 475–488 Electric Charge Lid – System components for future charge lid systems J. Langkau, S. Wenz, T. V. Fernandez, L. Pullen, A. Tekavčič, N. Jezeršek, A. Wagner J. Langkau, S. Wenz, T. V. Fernandez, L. Pullen, A. Tekavčič, N. Jezeršek, A. Wagner 475–488
- 489–500 Evaluation of a driver’s compatibility with electric, plug-in hybrid, and hybrid vehicles based on mobility patterns analytics G. Castignani, F. Chandelle, S. Jafarnejad, I. Scherer G. Castignani, F. Chandelle, S. Jafarnejad, I. Scherer 489–500
- 501–504 CharIN e.V. – Empowering the next level of e-mobility C. Bracklo, M. Keller C. Bracklo, M. Keller 501–504
- 505–508 Wireless Charging Systems for EVs – The answer to the consumers demand! T. Nindl T. Nindl 505–508
- 509–522 Real-time Contextual Intelligence Services for Connected Electrified Vehicles S. Alexander, F. Borrelli, M. Pfeifle S. Alexander, F. Borrelli, M. Pfeifle 509–522
523–612 E-Vehicle 523–612
- 523–532 How to solve the trade-off between vehicle dynamics, traveling time and CO2 emissions. The CO2-Life Cycle Assessment for the Porsche Taycan O. Bitsche O. Bitsche 523–532
- 533–544 Modular, standardized, and innovative Power Electronics for Automotive J. P. Mercier, O. Ploix J. P. Mercier, O. Ploix 533–544
- 545–562 Long distance e-mobility in the trade-off between battery capacity & charging power – Battery immersion cooling as enabler technology? D. Mehlig, M. Muller, J. Treier, A. Loges D. Mehlig, M. Muller, J. Treier, A. Loges 545–562
- 563–578 Shifting Left the development of Electric Vehicle Products, from System to Software K. Brand K. Brand 563–578
- 579–592 A Battery Digital Twin framework for Predictive Maintenance and State of Health Estimation of Electric Vehicles A. P. Das, K. Thomas, A. Mohan, A. S. Akhil, K. P. Ganesh A. P. Das, K. Thomas, A. Mohan, A. S. Akhil, K. P. Ganesh 579–592
- 593–604 Towards lead-acid free 12 V power supply for electrified vehicles and highly automated driving functions B. Kleinsteinberg, A. Hohenhovel B. Kleinsteinberg, A. Hohenhovel 593–604
- 605–612 State of Health and State of Charge Estimation method – A Machine Learning based hybrid approach M. Ghivari, D. Chakraborty M. Ghivari, D. Chakraborty 605–612
613–XVI Security 613–XVI
- 613–622 Scalable Automotive Intrusion Detection Systems – From the ECU to the Vehicle Operation Centre E. Metzker, M. Engelsberger E. Metzker, M. Engelsberger 613–622
- 623–640 The Crossroads of Automotive Security and GDPR M. Wachs, J. Jager, A. Berthold M. Wachs, J. Jager, A. Berthold 623–640
- 641–650 Implementing adequate security for UN R 155 with AUTOSAR – Retrofitting existing architectures M. Minzlaff, M. Rucker, M. Schneider M. Minzlaff, M. Rucker, M. Schneider 641–650
- 651–652 5G and Artificial Intelligence transforming Cars and the Transportation System S. Marxreiter S. Marxreiter 651–652
- 653–XVI Concept ELV² – Development of an Electric Drive Axle for Heavy Commercial Vehicles S. Koller, R. Uerlich, G. Witham, L. Eckstein S. Koller, R. Uerlich, G. Witham, L. Eckstein 653–XVI

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ELIV 2021

Zusammenfassung

Schlagworte

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