When you want electric vehicle technologies developed fast, where better to test and augment than in the Formula E application space? Team Principal & CEO of Mahindra Racing, Dilbagh Gill will challenge us all to think about the urgency of EV technological advancements for commercialization, and for the betterment of global resources and climate change. When small changes can equal big impact, it is imperative that we all stay engaged and innovating toward a common goal of efficiency, safety and clean energy.

Electrification has drastically changed how all elements of a powertrain and structure are designed. Motors and inverters are being newly introduced to many applications and engineers need to implement and validate new propulsion systems and controllers. Evaluating an electric powertrain involves many electrical and mechanical measurements to understand its operation and improve its performance. These signals are then used to calculate a wide variety of parameters such as electric/mechanical power, RMS voltage/current, power factor and others. The combination of many measurements with different calculation periods often creates a scenario where there are a variety of instruments needed to characterize a powertrain. Having many instruments can raise the complexity and cost of a test and lower its reliability and accuracy. HBK has simplified motor/inverter testing with the eDrive power analyzer which records large amounts of data while giving a high accuracy power measurement. This simplification gives engineers to confidently run a wide variety of tests very quickly and with a high accuracy. This session will detail the challenge of characterizing an electric powertrain, propose the eDrive as a simplified testing solution, and give testing examples.

Sponsored by HBM (an HBK company)

The keynote focuses on how software needs to be designed to industry standards like ISO 26262. It presents the Model-Based Design process and how this aligns very well to software certification with examples like automatically generating code and avoiding hand coding errors. It also addresses the code verification process.

Batteries are key component of electric mobility. Just like the invention of Jet Engines that revolutionized the Aerospace industry with profound impact on our daily life, automotive batteries will enable new ways of mobility with minimal impact on the environment. In this roundtable we will discuss battery development from the test and measurement perspective. Accurately characterizing battery parameters in the R&D stage, during various steps of production and during operation will be crucial to optimize battery chemistry, guarantee safe operation, simplify maintenance and extend the lifetime of automotive batteries.

Sponsored by Hioki

This will examine battery management challenges developers will encounter and solutions that target automotive applications.

Until recently, it was commonly thought that 3D sensing was a required component for all automated driving systems. However, recent developments in vision-only approaches are challenging this notion. In this session, we will examine the differences between camera and LiDAR perception and consider the pros and cons of a vision-only vs. a multi-modal approach.

Battery cost reduction of more than 80% and tripling of energy density in the last decade has put long range, cost effective EVs within reach for automotive industry. Still, large battery pack design, engineering, and large scale manufacturing for EVs continue to be extremely challenging. OEMs and tier suppliers are looking at new ways to pack more cells in a pack volume without sacrificing safety and reliability. They need to account for new material chemistries and system level implications for fast charging. In addition, battery packs must be meet crash requirements while reducing overall weight and avoiding vibration issues that may come with attaching heavy battery pack to vehicle body. Battery pack designs must be easy to manufacture and especially the EV startups and new battery suppliers must figure out how to scale up production. In contrast to today’s engineering development flow, there is growing need for these engineering teams to better collaborate to bring desired battery packs and electric vehicles to market. A comprehensive digital twin that allow companies to efficiently account for chemistry, electrical, electronics, thermal, structural and manufacturing considerations is critical to channel various innovations and accelerate product development. In this talk, I will present Siemens comprehensive, accurate and easily adaptable battery digital twin framework. With real use case examples, we will show how industry is starting to leverage this battery digital twin for innovative battery pack development and vehicle integration.

Developments in advanced driver awareness systems (ADAS) and self-driving cars are possible because of improvements in situational awareness through advanced sensors, processors and the integration of this information with machine learning algorithms. Challenges include delivery of hardware and software capable of supporting the massive amounts of information generated by these sensors while improving safety as well as security.