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This one hour session will introduce the architecture, block diagrams and products of NXP’s electric vehicles (EV) and hybrid electric vehicles (HEV) portfolio for electric drive trains. Areas of focus include battery management, microprocessors for drive control, system basis chips, IGBT and MOSFET gate drivers and power modules for high voltage and 48V inverters. A leader in functional safety, NXP’s safety case for EV and HEV will be discussed. How we enable the customer design through evaluation boards, software and reference designs will be reviewed.

S32 Design Studio 3.0 S32V234 focus on configuration tools pin wizard, clocks config, with SDK configuration, FreeRTOS configuration and use building and running a project showing debug with S32 debugger on the m4 with code on target. Configuration tools suite formed from pins, clocks, peripherals, DCD, IVT are offering a complete view of the platform with complete access to all the details directly from the tool and possibility to generate, build and debug the applications.

This session will go into the detail of the software enablement around the BlueBox v2.0, aka “BlueBox Mini” or “BLBX2”. Suited for level 2/3 autonomous drive. From an engineering perspective topics will include: 1. The BlueBox v2.0 hardware layout. 2. BSP content with middleware; Linux config and Ubuntu rootfs; Linux options between and inter-communication between them; Discussion of middleware options (including ROS versions, and others). 3. How ADAS is supported. 4. Combined to achieve level 2/3 ADAS with AutonomouStuff. 5. Apollo versions ported and benchmarking of the planning module. 6. Future offerings with hardware support and systems-level safety and orchestration. 7. Technical lecture explaining the internals of this enablement.

As a major supplier to the world automotive market, NXP Standard Products continues to innovate new semiconductor packaging options for the unique needs of this market. This seminar will cover the latest in packaging technology including: Clip bonded LFPAK (focusing on LFPAK33, LFPAK88, flatpower diodes and BJT LFPAK56); SWF Side Wettable Flanks (focusing on logic DQFN and discrete devices); A comparison of leaded vs leadless MiniLogic packaging.

NXP has prepared a DroneCode.org compatible Vehicle management unit (VMU) running PX4Pro. The NXPhlite VMU is compatible with the full stack from Dronecode, including internal and external comms, planning and groundstation control. This can be used as the basis to coordinate with a higher level companion system running LINUX and ROS, or as a standalone vehicle such as a semi-autonomous Drone, Rover, boat or even a lawnmower. NXPhlite features multiple interfaces and includes 100BaseT1 2-wire Ethernet and dual CAN interfaces.

Automotive Ethernet PHYs enable future driving scenarios by providing the necessary physical throughput power. While software brings added value for security, diagnosis, energy efficiency and safety. As the functional requirements for automotive PHY drivers differ from general purpose applications, additional functionality is needed to closely monitor and diagnose the device and to create advanced use cases like Layer-1 wake-up and sleep. In this session, these specific requirements for automotive Ethernet PHY SW are discussed. Existing PHY SW frameworks such as Linux or AUTOSAR are introduced. Finally, the session will touch upon typical application scenarios which require interaction with PHY SW.

Many people involved in the electronics industry need a basic knowledge of semiconductor components in order to understand issues like manufacturing cycle time, semiconductor fab consolidation and failure analysis results. This session is geared towards a non-technical audience and gives a high-level overview of semiconductor devices and how they are made. The lecture begins with a brief overview of how semiconductor devices work. The bulk of the presentation describes the generic manufacturing flow for semiconductor devices with an emphasis on the complexity of the equipment/facilities used and the process time required.

A key challenge to the deployment of Edge compute IoT is management and security of 1000s to millions of Edge compute nodes. EdgeScale simplifies this by providing a cloud-based management framework leveraging the hardware security features of Layerscape processors. Learn how you can use EdgeScale to manage a heterogenious set of Edge compute nodes, and use it with your choice of Edge compute framework - AWS Greengrass, Azure IoT Edge and others.

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