ELIV-MarketPlace 2022

doi:10.51202/9783181024058

ELIV-MarketPlace 2022

Reihe: VDI-Berichte

Band 2405 Erschienen 2022

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doi.org/10.51202/9783181024058
ISBN print: 978-3-18-092405-2
ISBN online: 978-3-18-102405-8
VDI Verlag, Düsseldorf VDI Verlag, Düsseldorf

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Zusammenfassung

Contents

E/E in Passenger Cars

Energy Management

Benchmark of modern electrification concepts – Which powertrain topologies have the

most benefits? ..... 1

Architecture/Engineering – Testing

Virtual E/E Test Platform – co-exploration, optimization and validation of ECU architecture

and software in the context of the car ..... 9

Event Chain Analysis as a Key Competency: Efficient Development of Software-Defined Vehicles ..... 19

End-to-end Continuous Integration and Test enabled by Continental’s Cooperation Portal and Volkswagen’s Compound Test System ..... 29

Autonomous Driving in Practice – Use Cases and E periences

Next-Gen Sensor Fusion for Next-Gen Sensors and Driving Functions ..... 37

Quantification of Life-Saving Collective Perception V2X Benefits ..... 59

Lessons learned from current developments of highly automated driving functions (SAE Level 3 and 4) and derivation of future success factors ..... 69

Future of Electrified Powertrain in the era of Software Defined Vehicles and Service Oriented Architecture ..... 79

An Advanced High-Efficiency Inverter wit...

Schlagworte

Energie Management Antriebsstrang moderne Elektrifizierungskonzepte intelligente Geschwindigkeits Assistenz magnetische Synchron Maschine Umgebungserkennungs System Energy management powertrain in vecicle cyber security modern electrification concepts ECU architecture NVH performance intelligent speed assistance magnetic synchronous machine environment recognition systems

Kapitel Ausklappen | EinklappenAutorenSeiten
I–XIV Titelei/Inhaltsverzeichnis I–XIV
1–330 E/E in Passenger Cars 1–330
- 1–8 Energy Management 1–8
  - Benchmark of modern electrification concepts – Which powertrain topologies have the most benefits? J. Flemming J. Flemming
- 9–36 Architecture/Engineering – Testing 9–36
  - 9–18 Virtual E/E Test Platform – co-exploration, optimization and validation of ECU architecture and software in the context of the car A. Ropers A. Ropers 9–18
  - 19–28 Event Chain Analysis as a Key Competency: Efficient Development of Software-Defined Vehicles R. Münzenberger R. Münzenberger 19–28
  - 29–36 End-to-end Continuous Integration and Test enabled by Continental’s Cooperation Portal and Volkswagen’s Compound Test System J. Walther, S. Breitkreutz, L. Dreißig J. Walther, S. Breitkreutz, L. Dreißig 29–36
- 37–78 Autonomous Driving in Practice – Use Cases and Experiences 37–78
  - 37–58 Next-Gen Sensor Fusion for Next-Gen Sensors and Driving Functions E. Richter E. Richter 37–58
  - 59–68 Quantification of Life-Saving Collective Perception V2X Benefits B. Erdem B. Erdem 59–68
  - 69–78 Lessons learned from current developments of highly automated driving functions (SAE Level 3 and 4) and derivation of future success factors M. Dargel, L. Bublitz M. Dargel, L. Bublitz 69–78
- 79–108 Battery and Charging Technologies 79–108
  - 79–84 Future of Electrified Powertrain in the era of Software Defined Vehicles and Service Oriented Architecture S. Suo S. Suo 79–84
  - 85–98 An Advanced High-Efficiency Inverter with High Switching Frequencies to Improve Powertrain Efficiency and Performance A. Berger A. Berger 85–98
  - 99–108 Tailored battery systems for entry level up to high performance applications Challenges in battery development Florian Pampel, M. Stapelbroek, I. Hazanavicius Florian Pampel, M. Stapelbroek, I. Hazanavicius 99–108
- 109–136 Sensors for Automation and Autonomy 109–136
  - 109–120 Robust control strategies – Approaching parameter uncertainties for traction drive systems and DC/DC-converters in automotive HV applications M. Thierer M. Thierer 109–120
  - 121–132 New STi2GaNTM technology for ultra-fast switching automotive applications Manuel Gärtner, Nadia Lecci Manuel Gärtner, Nadia Lecci 121–132
  - 133–136 Influence of Eccentricity and Tolerance on NVH Performance of Permanent Magnetic Synchronous Machine I. Woyna, W. Shang I. Woyna, W. Shang 133–136
- 137–160 Simulation for Automated Driving and Driver Assistance Systems 137–160
  - 137–144 Credible Simulation – Do you trust your simulation models? M. Baumann, I Kaiser M. Baumann, I Kaiser 137–144
  - 145–158 Mastering Data Replay and HIL for ADAS and AD together V. Anselm, I. Kotori V. Anselm, I. Kotori 145–158
  - 159–160 Ground-Truth Reference Data for validation of ADAS / AD Systems A. Engstle A. Engstle 159–160
- 161–188 Hardware 161–188
- 189–218 Safety and Security 189–218
  - 189–200 A Virtualized Approach to In-Vehicle Cyber Security H. Zlatokrilov H. Zlatokrilov 189–200
  - 201–210 In-Vehicle Network Security – MACsec, the game changer L. Völker, T. Königseder L. Völker, T. Königseder 201–210
  - 211–218 Architectural Guidelines for AUTOSAR-based E/E Systems with Safety-related Availability Requirements J. Toennemann J. Toennemann 211–218
- 219–248 Cloud and Communication 219–248
  - 219–228 How SOAFEE Accelerates the transition from Cloud-Native to Car-Native M. Spencer M. Spencer 219–228
  - 229–238 Real Life performance of IEEE 1722 Control Format (ACF) – In future oriented networking architectures P. Granados, J. Nguyen P. Granados, J. Nguyen 229–238
  - 239–248 Streaming Map Data Efficiently from Cloud to ECUs – A Cost-Efficient and Self-Adapting Solution for Intelligent Speed Assistance V. Horvath, H. Laine, G. Blahut, A. Késmárki, M. Pfeifle V. Horvath, H. Laine, G. Blahut, A. Késmárki, M. Pfeifle 239–248
- 249–282 AI for Autonomous Driving – Opportunities and Challenges 249–282
  - 249–256 Understand and Testing AI Decisions with Explainable AI K. Chung K. Chung 249–256
  - 257–264 Big Data Analytics for a seamless Design Flow of reliable Automated Driving Functions N. Kechler, Eric Sax N. Kechler, Eric Sax 257–264
  - 265–282 Comprehensive Test Strategy for AI Based Systems – From AI Test Principles to T est Optimization U. Bodenhausen U. Bodenhausen 265–282
- 283–304 Sensors and Silicon 283–304
  - 283–292 Computational enhancement is key to cost effective imaging radar for mass deployment Huanyu Gu Huanyu Gu 283–292
  - 293–302 Smart LiDAR Components – Automotive SPAD detector IC and high performance laser driver F. Finkeldey F. Finkeldey 293–302
  - 303–304 Setting a new standard for ultrasonic near-field perception – AI enabling data interface for ultrasonic systems . H. Barth H. Barth 303–304
- 305–330 Intelligent Sensors and Maps 305–330
  - 305–314 Automatic Camera-based Road Defect Detection with Neural Networks K. Talits K. Talits 305–314
  - 315–324 NDS – The Development and Use of a Worldwide Standard for Map Data F. Klebert F. Klebert 315–324
  - 325–330 Reliable and safe maps for automated driving S. Kuhn S. Kuhn 325–330
331–412 E/E in Commercial Vehicles 331–412
- 331–348 Alternative Drives & Power Electronics 331–348
  - 331–338 New GaN based DC-DC converter concept for future fuel cell and charging applications M. Raimann M. Raimann 331–338
  - 339–348 Sustainable Trucking D. Dudic D. Dudic 339–348
- 349–368 E/E-Architecture & Cyber Security 349–368
  - 349–358 Supplier‘s Perspective of the Truck Architecture Transformation G. Seidel, T. Smits, J. Lützner G. Seidel, T. Smits, J. Lützner 349–358
  - 359–360 Charging of BEV trucks with more than 1 MW – How can the interaction of commercial vehicle, charging infrastructure and energy system succeed? B. Langer B. Langer 359–360
  - 361–368 Continued protection for commercial vehicles and connected services J. Hytönen, C. Treviño J. Hytönen, C. Treviño 361–368
- 369–394 Charging Communication & Infrastructure 369–394
- 395–412 Autonomous Driving & Active Safety 395–412
  - 395–402 Autonomous Driving @ MAN & Traton R. Weller, S. Manzinger R. Weller, S. Manzinger 395–402
  - 403–412 Centralized Architecture in Commercial Vehicles and its impact on Software defined Architecture M. Tanimou, T. Stumpf M. Tanimou, T. Stumpf 403–412
413–XVI E/E in Mobile Machines 413–XVI
- 413–420 Interoperability and Connectivity 413–420
  - AEF – Agricultural Interoperability Network – Let’s cultivate the digitalization S. Stesny S. Stesny
- 421–436 Sensors for Automation and Autonomy 421–436
  - 421–428 Technology comparison of surround sensors for mobile machines – Change from rule-based systems to Deep Learning B. Franczyk B. Franczyk 421–428
  - 429–436 Experience report of Technology Transfer towards Mobile Machinery based on Environment recognition systems A. Hartel, A. Bertsch, R. Hofmann A. Hartel, A. Bertsch, R. Hofmann 429–436
- 437–446 Automation 437–446
  - Equipment Setup and Work Planning – A precondition for highly automated operations G. Kormann G. Kormann
- 447–XVI Autonomy 447–XVI
  - 447–460 Bringing together major stakeholders to shape the future of autonomous operation. Can this also be done for the offhighway industry? S. Poledna, L. Antonia Zaza S. Poledna, L. Antonia Zaza 447–460
  - 461–XVI Autonomy by AgXeed – Development of an autonomous ecosystem L. H. M. Schmitz, J. J. Hiddema L. H. M. Schmitz, J. J. Hiddema 461–XVI

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