AVL experts discuss an easy-to-use solution that supports you throughout the development process with assistants such as the engine model generator, parameterization wizards, and various automated workflows.
HBK’s Klaus Lang discusses a method that uses advanced cycle detection to conduct real-time analysis and reduce electric drive testing times by 50%.
AVL’s Lucas Kira and Matthias Pichler explain the importance of these external influences and the cross-effects created between the different vehicle areas, from chassis to powertrain and thermal systems.
Sasken’s Girish BVS and Amol Kulkarni explain how OEMs and suppliers can use a blockchain-based framework to optimize the cost and time associated with vehicle recalls and parts tracking.
DSD’s Jason Schneider and AK Arafat walk through the processes and tools used to develop cutting-edge motor control strategies, blending simulation and conventional physical testing.
AVL’s Marijn Hollander and Morgan LeCossec explain the benefits of advanced methodologies for E-Drive powertrain development using AVL CAMEO.
Datwyler’s Andreas Proksch and Dr. Amir Yazdani discuss innovations in new mobility battery applications, from critical sealing solutions to effective thermal management.
Experts from AVL discuss the layout of hydrogen engines in passenger car and commercial applications, focusing on hybrid solutions for high-efficiency passenger car powertrains.
Omar Alshabibi of ETAS explains how to address security challenges for complex automotive SoCs.
HBK’s Mitch Marks discusses using back EMF measurements to characterize and validate motors at the end of an assembly line to decide if a part meets the requirements for production quickly.
Stefan Dreifke from Keysight Technologies explains how to improve the design and operation of your electric vehicle battery test lab.
A panel of industry experts discuss how HMI challenges are being approached and handled today within the context of the modern automotive vehicle development process.
KPIT’s Tanmay Agrawal explains how to address electric vehicle engineering challenges by adopting an integrated model-based systems approach.
Dr. Alexander Fandakov discusses IAV’s model-based development methodology and how it can be employed for thermal management optimizations benefiting from new technologies.
HBK’s Tom Kevenaar explains how averaging of signals and measurements in electric power testing could and sometimes should be carried out to obtain the best and most meaningful results.
AVL experts explain how to verify and validate software and hardware functions by integrating the DevOps process with the V-model.
NXP’s Andres Barrilado explains how AI and ML will make their way into automotive safety functions as we consider how to avoid systematic failures and define new problem statements around inference to provide safety-related functions.
Humanising Autonomy’s Raunaq Bose and Pier Paolo Porta of semiconductor design company Ambarella discuss AI applications for the automotive and urban mobility industries.
Tanner Bruhn and Laurent Allouchery demonstrate how to monitor fuel cell degradation in real-time using AVL’s toolchain.
Jae-Young Chang of Keysight Technologies examines the changes sweeping automotive in-vehicle technology and the accompanying signal integrity challenges.