Documents

Farnell and element14 Community sponsor University of Toronto’s student-led team for the AutoDrive Challenge™︎ II

dychen — Fri, 27 Jan 2023 15:49:47 GMT

Current Revision posted to Documents by dychen on 1/27/2023 3:49:47 PM

Farnell to provide funding and electronic parts to aUToronto, one of ten teams across the U.S. competing in the SAE/GM challenge to build a Level 4 autonomous vehicle.

Farnell and its element14 Community have proudly signed on as a platinum sponsor of aUToronto, the University of Toronto’s student-led self-driving car team, as they compete in the SAE/GM AutoDrive Challenge™ II. Farnell and element14 Community will provide funding and electronic parts over two years as an ADC II Hardware Sponsor to assist the aUToronto team in building their autonomous vehicle capable of navigating complex environments by 2025.

aUToronto took first place in the first AutoDrive Challenge series (2018-2021), where they successfully converted a Chevrolet Bolt EV into a self-driving car. This second series (AutoDrive Challenge II) encourages participating university teams to develop and demonstrate an autonomous vehicle (AV) that can navigate urban driving courses as described by SAE Standard (J3016™) Level 4 automation. aUToronto’s team from the University of Toronto’s Faculty of Applied Science & Engineering has already taken the top spot overall in the first competition of the four-year AutoDrive Challenge II. The achievement by aUToronto continues an impressive winning streak for the team.

“We couldn’t be more excited to be a part of what the aUToronto team of university students are doing for this impressive SAE/GM AutoDrive Challenge II,” said Dianne Kibbey, Global Head of Community and Social Media for element14. “This intercollegiate competition presents no small task and we are in a unique position to provide mentoring and support from our global element14 Community and a wide selection of needed parts from Farnell’s vast catalog. In the upcoming challenges students will need to o demonstrate knowledge and expertise across 2D, 3D, light, lane and radar object detection, and perception tracking alongside leadership in overall system safety testing and operations. We couldn’t be prouder of the incredible creativity and effort made by this exceptional group of students.”

element14 Community will also be providing regular updates on their website regarding aUToronto’s accomplishments and success throughout the coming year.

Tags: electric vehicle, autonomous, level 4, autoronto, challenge, sae, gm, autodrive, University of Toronto

Meet the aUTOronto Team

dychen — Fri, 27 Jan 2023 15:49:07 GMT

Current Revision posted to Documents by dychen on 1/27/2023 3:49:07 PM

element14 is sponsoring the aUToronto team from the University of Toronto as they compete with nine other teams building a Level 4 autonomous vehicle in the second iteration of the SAE/GM AutoDrive Challenge.

AUToronto is no stranger to AutoDrive; the student-led team took first place in AutoDrive I, successfully converting a Chevrolet Bolt into a self-driving car. With AutoDrive II, the the university teams must develop an autonomous vehicle that can handle an urban driving course, avoiding pedestrians and other distractions, while following traffic lights and street signs.

AUToronto Student Leads:
Team Principal (R2Y2):	Jiachen (Jason) Zhou
2D Object Detection:	Sandro Papais Amy Chen
3D Object Detection:	Jenny (ZiYi) Xu
Perception Tracking:	Brian Cheong Alex Liu
Light & Lane Detection:	Sean Wu Mustafa Khan
Radar Object Detection:	Ali Seifeldin
Planning:	Yvonne Yang Barney Wei
Mapping & Localization:	Brian Chen Bingqing (Selina) Wan
Control:	Abhishek Kakad Andrew Constantinescu
System:	Edwin Ng Jacob Deery
Simulation & Testing:	Renzo Benavides
System Safety:	Krishnaprasadh Krishnasamy Sundaravaradhan
Mechanical & Electrical:	Kevin Ding
Vehicle Interface Lead:	Matthew Teichman
GUI:	Noni Hua
Operations:	Xiaonong (Frank) Sun

Faculty Leadership:

Prof. Angela Schoellig
Prof. Steven Waslander
Prof. Tim Barfoot
Prof. Jonathan Kelly

Team Advisors:

Keenan Burnett
Joe Qian

Former Team Principal:

"Frank" Chude Qian

Tags: electric vehicle, autonomous, level 4, team, autoronto, challenge, gm, autodrive, University of Toronto

Farnell and element14 Community sponsor University of Toronto’s student-led team for the AutoDrive Challenge™︎ II

dychen — Fri, 27 Jan 2023 15:43:42 GMT

Revision 3 posted to Documents by dychen on 1/27/2023 3:43:42 PM

Farnell to provide funding and electronic parts to aUToronto, one of ten teams across the U.S. competing in the SAE/GM challenge to build a Level 4 autonomous vehicle.

element14 Community will also be providing regular updates on their website regarding aUToronto’s accomplishments and success throughout the coming year.

Tags: electric vehicle, autonomous, autoronto, challenge, sae, level, gm, autodrive, University of Toronto

Meet the aUTOronto Team

dychen — Fri, 27 Jan 2023 15:40:15 GMT

Revision 4 posted to Documents by dychen on 1/27/2023 3:40:15 PM

AUToronto Student Leads:
Team Principal (R2Y2):	Jiachen (Jason) Zhou
2D Object Detection:	Sandro Papais Amy Chen
3D Object Detection:	Jenny (ZiYi) Xu
Perception Tracking:	Brian Cheong Alex Liu
Light & Lane Detection:	Sean Wu Mustafa Khan
Radar Object Detection:	Ali Seifeldin
Planning:	Yvonne Yang Barney Wei
Mapping & Localization:	Brian Chen Bingqing (Selina) Wan
Control:	Abhishek Kakad Andrew Constantinescu
System:	Edwin Ng Jacob Deery
Simulation & Testing:	Renzo Benavides
System Safety:	Krishnaprasadh Krishnasamy Sundaravaradhan
Mechanical & Electrical:	Kevin Ding
Vehicle Interface Lead:	Matthew Teichman
GUI:	Noni Hua
Operations:	Xiaonong (Frank) Sun

Faculty Leadership:

Prof. Angela Schoellig
Prof. Steven Waslander
Prof. Tim Barfoot
Prof. Jonathan Kelly

Team Advisors:

Keenan Burnett
Joe Qian

Former Team Principal:

"Frank" Chude Qian

Meet the aUTOronto Team

dychen — Fri, 27 Jan 2023 04:35:06 GMT

Revision 3 posted to Documents by dychen on 1/27/2023 4:35:06 AM

AUToronto Student Leads:
Team Principal (R2Y2):	Jiachen (Jason) Zhou
2D Object Detection:	Sandro Papais Amy Chen
3D Object Detection:	Jenny (ZiYi) Xu
Perception Tracking:	Brian Cheong Alex Liu
Light & Lane Detection:	Sean Wu Mustafa Khan
Radar Object Detection:	Ali Seifeldin
Planning:	Yvonne Yang Barney Wei
Mapping & Localization:	Brian Chen Bingqing (Selina) Wan
Control:	Abhishek Kakad Andrew Constantinescu
System:	Edwin Ng Jacob Deery
Simulation & Testing:	Renzo Benavides
System Safety:	Krishnaprasadh Krishnasamy Sundaravaradhan
Mechanical & Electrical:	Kevin Ding
Vehicle Interface Lead:	Matthew Teichman
GUI:	Noni Hua
Operations:	Xiaonong (Frank) Sun

Faculty Leadership:

Prof. Angela Schoellig
Prof. Steven Waslander
Prof. Tim Barfoot
Prof. Jonathan Kelly

Team Advisors:

Keenan Burnett
Joe Qian

Former Team Principal:

"Frank" Chude Qian

Meet the aUTOronto Team

dychen — Fri, 27 Jan 2023 04:16:44 GMT

Revision 2 posted to Documents by dychen on 1/27/2023 4:16:44 AM

AUToronto Student Leads:

Team Principal (R2Y2):

Jiachen (Jason) Zhou

2D Object Detection:
Sandro Papais
Amy Chen

3D Object Detection:
Jenny (ZiYi) Xu

Perception Tracking:
Brian Cheong
Alex Liu

Light & Lane Detection:
Sean Wu
Mustafa Khan

Radar Object Detection:
Ali Seifeldin

Planning:
Yvonne Yang
Barney Wei

Mapping & Localization:
Brian Chen
Bingqing (Selina) Wan

Control:
Abhishek Kakad
Andrew Constantinescu

System:
Edwin Ng
Jacob Deery

Simulation & Testing:
Renzo Benavides

System Safety:
Krishnaprasadh Krishnasamy Sundaravaradhan

Mechanical & Electrical:
Kevin Ding

Vehicle Interface Lead:
Matthew Teichman

GUI:
Noni Hua

Operations:
Xiaonong (Frank) Sun

Faculty Leadership:

Prof. Angela Schoellig
Prof. Steven Waslander
Prof. Tim Barfoot
Prof. Jonathan Kelly

Team Advisors:

Keenan Burnett
Joe Qian

Former Team Principal:

"Frank" Chude Qian

Meet the aUTOronto Team

dychen — Fri, 27 Jan 2023 04:10:33 GMT

Revision 1 posted to Documents by dychen on 1/27/2023 4:10:33 AM

AUToronto student leads:

Team Principal (R2Y2): Jiachen (Jason) Zhou

2D Object Detection:
Sandro Papais
Amy Chen

3D Object Detection:
Jenny (ZiYi) Xu

Perception Tracking:
Brian Cheong
Alex Liu

Light & Lane Detection:
Sean Wu
Mustafa Khan

Radar Object Detection:
Ali Seifeldin

Planning:
Yvonne Yang
Barney Wei

Mapping & Localization:
Brian Chen
Bingqing (Selina) Wan

Control:
Abhishek Kakad
Andrew Constantinescu

System:
Edwin Ng
Jacob Deery

Simulation & Testing
Renzo Benavides

System Safety
Krishnaprasadh Krishnasamy Sundaravaradhan

Mechanical & Electrical
Kevin Ding

Vehicle Interface Lead
Matthew Teichman

GUI
Noni Hua

Operations
Xiaonong (Frank) Sun

Faculty Leadership:
Prof. Angela Schoellig
Prof. Steven Waslander
Prof. Tim Barfoot
Prof. Jonathan Kelly

Team Advisors:
Keenan Burnett
Joe Qian

Former Team Principal:
"Frank" Chude Qian

Farnell and element14 Community sponsor University of Toronto’s student-led team for the AutoDrive Challenge™︎ II

dychen — Thu, 26 Jan 2023 22:28:13 GMT

Revision 2 posted to Documents by dychen on 1/26/2023 10:28:13 PM

Farnell to provide funding and electronic parts to “aUToronto,” one of ten teams across the U.S. competing in the SAE/GM challenge to build a Level 4 autonomous vehicle

element14 Community will also be providing regular updates on their website regarding aUToronto’s accomplishments and success throughout the coming year.

Tags: electric vehicle, autonomous, autoronto, challenge, sae, level, gm, autodrive, University of Toronto

Farnell and element14 Community sponsor University of Toronto’s student-led team for the AutoDrive Challenge™︎ II

dychen — Thu, 26 Jan 2023 17:44:44 GMT

Revision 1 posted to Documents by dychen on 1/26/2023 5:44:44 PM

Farnell to provide funding and electronic parts to “aUToronto,” one of ten teams across the U.S. competing in the SAE/GM challenge to build a Level 4 autonomous vehicle

element14 Community will also be providing regular updates on their website regarding aUToronto’s accomplishments and success throughout the coming year.

Siri, Start My Car

autoembedded — Wed, 13 Oct 2021 11:22:31 GMT

Current Revision posted to Documents by autoembedded on 10/13/2021 11:22:31 AM

players.brightcove.net/.../index.html

Tags: siri, Technology, automotive

How Gaming Tech Is Making Safer Cars [Video]

iLOVEautomotive — Wed, 13 Oct 2021 11:22:30 GMT

Current Revision posted to Documents by iLOVEautomotive on 10/13/2021 11:22:30 AM

If you’re anything other than a mid-sized adult male or a small, lightweight adult woman, beware. Your senior citizen ribs, massive toddler head, or full-gear, military uniformed body has never been crash tested.

“With 33,000 people in the U.S. dying last year in collisions, there’s a disconnect between crash test results and what underserved people are experiencing in accidents,” says Matt Reed, Head of the Biosciences Group at the University of Michigan Transportation Research Institute (UMTRI).

To back up his talk, Reed and his team of researchers are employing unlikely tools. A $220 dollar scanning device, designed to record depth information and commonly used by videogame creators, is capturing body shapes in real time, allowing UMTRI to build virtual humans for vehicle assessment.

“For decades, car companies have been able to test engines and [inanimate] objects. Our work is making body shape and posture of vehicle occupants more realistic,” says Reed.

In addition to a $50,000 handheld scanner that measures 60 landmarks on a test crash model and the $120,000 laser scanner that captures 500,000 points in 12 seconds, these faster, highly detailed scans are changing the world of crash test modeling.

“In federal rules tests, there are just two dummies tested,” Reed reveals. “And manufacturers are using computer simulations that are effective in predicting what will happen in a dummy test.”

But what about real humans? What about the 75-year-old man with soft ribs and a curved back, whose short-sightedness causes him to sit close to the dash?

Reed says state-of-the-art computational models are tweaking airbags, seatbelt and vehicle designs to accommodate him and the rest of the world’s drivers.

“We’re not just building one model,” Reed tells Wired. “We’re building a representation of a huge range of body shapes and dimensions.”

Zooming in on the dummy models, UMTRI is collecting data on the forces exerted on the body in a crash; acceleration to the head, strain on tissues – some of which are strong enough to break bones.

Unlike crash dummies, which can only be positioned by shoving their hips and heads into limited positions, virtual human models can be morphed into a variety of configurations. Even data-based grasp predictions are possible, when calculating grasp motions for ergonomic applications and modeling virtual shapes.

And unlike crash tests, with their $45,000 base model dummies and $100,000+ fully-loaded-with-technology relatives, (not to mention the test vehicle) virtual testing is economical.

“The cost of a full body scan is a tiny fraction, [relative] to developing a car,” Reed claims.

3-D anthropometry isn’t new. In the late 1990s the U.S. Air Force’s CAESAR project scanned people in three different postures. Reed says the volunteers were not anatomically diverse and included two unsupported seated positions. But both complaints about the collected data pale in comparison to the fact that we haven’t changed testing methodologies for the population in over three decades.

“The last large-scale study of children in vehicles was in 1977. We [now] know about childhood obesity and how the population is changing body size. We hope to redo that 1977 study with modern technology,” he says.

Crash dummies used in the U.S., commonly referred to as the “5th-percentile female,” “50th-percentile male,” and “95th-percentile male,” stand up well to current stature percentiles, but fall further off the mark for the two male models when it comes to mass. Today, they might be renamed “the 33rd- and the 81st-percentile male.”

Already, Reed’s biosciences group has 150 children under observation. The kinetics of a crash involving kids ages 3 through 11 are unique: Their supple necks resist injury unless directly impacted and they suffer far fewer rib fractions than elderly passengers.

And for soldiers, the third underserved demographic his researchers study, Reed says, “The thing that’s unique is that we’re measuring the soldiers in realistic postures and quantifying for the body armor, because of the safety implications.”

UMTRI’s researchers know that real crash tests will always be necessary. But armed with tools to capture the full spectrum of human variability and projecting that data into virtual human models, they plan to better predict and protect the world’s population, saving lives and development dollars in the process.

players.brightcove.net/.../index.html

Tags: transportation, safety_tech, Technology, gaming, automotive_safety, automotive, new_tech, trends, innovation, safety

Automotive body and gateway applications: Qorivva MPC560xB/C/D*

iLOVEautomotive — Fri, 08 Oct 2021 05:28:08 GMT

Current Revision posted to Documents by iLOVEautomotive on 10/8/2021 5:28:08 AM

The Qorivva MPC560xB/C/D family of 32-bit MCU includes the latest Freescale integrated devices for automotive body electronics applications. The advanced cost-efficient host processor core leverages the many strengths of Power Architecture® technology, such as processing capability, on-chip memory, analog capabilities, timing systems and other features required to handle complex control and diagnostic systems. In addition, these scalable devices are supported by an enablement ecosystem that includes software drivers, operating systems and configuration code to help you quickly implement your designs.

Qorivva MPC560xB/C/D Key Features

Includes controller area network (CAN), local interconnect network (LIN) and other peripherals necessary to implement a range of functionality in the automotive body network.

FlexCAN module supporting both FIFO and mailbox data storage, ideal for CAN gateways to manage event-driven vs. periodic bus traffic.
LINFlex module provides fully automated LIN message management, reducing CPU load intervention and message latencies.
eMIOS timer combines multiple counter sources, including input capture, output compare and pulse width modulation (PWM) capabilities into one very flexible module. PWM function supports shifted signal output to improve electromagnetic compatibility.
Cross triggering unit synchronizes PWM output signals with analog-to-digital conversion to enable accurate diagnostic and control capabilities.
Scalable e200z0 core enables migration toward higher performance solutions.
Compatible family of products ensures reuse of software and tools infrastructures.

In addition, the Qorivvva MPC5601D, MPC5602D, MPC5605B, MPC5606B and MPC5607B are available with direct memory access.

Click here to view full Fact sheet (Block Diagram, slector guide, tools, etc)

Tags: 32bit, freescaledocs, gateway_applications, freescale, gateway_controllers, qorivva, body_control, automotive, mcu, body_electronics

Microcontroller Products for Automotive Applications Training*

iLOVEautomotive — Fri, 08 Oct 2021 05:28:07 GMT

Current Revision posted to Documents by iLOVEautomotive on 10/8/2021 5:28:07 AM

This session will cover our lineup of automotive microcontroller products. Identify the latest products and technologies for infotainment, instrument cluster, body electronics, powertrain, motor control and safety applications.

Course Outline

- Freescale Auto MCU Overview
  - Vision, Mission and Message
  - Auto Market Segments
- Auto MCU Solutions
- Body
- Powertrain
- Instrument Cluster/Driver Information Systems (DIS)
- Safety Applications
- Summary

What You'll Learn

- Identify 8/16/32-bit MCUs for automotive body applications.
- Identify 32-bit MCUs for Powertrain applications
- Identify 8/16/32-bit MCUs for instrument cluster/Driver Information systems.
- Identify 32-bit MCUs for safety applications.

Launch Free training

Tags: 32bit, safety_applications, instrument_cluster, freescale, design_engineers, free_training, freescale_training, mcu, webinar, auto_mcu, powertrain

TRK-USB-MPC5643L: MPC5643L StarterTRAK for Safety Applications*

autoembedded — Fri, 08 Oct 2021 05:28:06 GMT

Current Revision posted to Documents by autoembedded on 10/8/2021 5:28:06 AM

StarterTRAK is a low-cost development kit based on the MPC5643L that enables rapid prototyping and tool reuse.

The Qorivva MPC564xL ICs are a family of powerful 32-bit MCUs for automotive chassis and safety applications and designs where enhanced motor control and functional safety capability is required.

Features

MPC5643L MCU in a 144LQFP package
On-board JTAG connection via open source OSBDM circuit using the MPC9S08JM MCU
MCZ3390S5EK system basis chip with advanced power management and integrated CAN transceiver
CAN & LIN interface
Analog interface with potentiometer
High-efficiency LEDs
SCI serial communication interface
Connector to BLDC–motorboard

Documentation & more here

Tags: 32bit, freescaledocs, safety_applications, chassins_and_safety, freescale, startertrak, qorivva, prototyping, mcu, functional_safety

Test drive Qorivva MCUs with a modular platform*

autoembedded — Fri, 08 Oct 2021 05:28:05 GMT

Current Revision posted to Documents by autoembedded on 10/8/2021 5:28:05 AM

Features

Qorivva processor
User-programmable,
multi-colored LEDs
User-programmable push buttons
Temperature sensor
Primary Tower System connector
OSBDM debugger through USB

Software available for download at Freescale.com

• CodeWarrior Development Studio evaluation license

• RAppID evaluation license

• Software labs and code examples

StarterTRAK USB Development Kit

The Freescale StarterTRAK USB kits are designed for you to easily and inexpensively test drive the 32-bit Qorivva MCU architecture. The StarterTRAK USB features specific Qorivva products with rich feature sets to give you a head start in evaluating and benchmarking our line of processors built on Power Architecture® technology. These ultra-cost-effective development kits enable comprehensive silicon evaluation starting at only $25(USD) and offer design expandability through the Freescale Tower System. Leveraging the growing portfolio of modules in the Tower System, you can create your own custom development system based on your Qorivva needs. Designing for automotive applications using StarterTRAK USB means faster time to market and an affordable introductory price into the Qorivva processors.

Qorivva Processors

Start designing with the 32-bit Qorivva MCUs built on Power Architecture technology. Using the most powerful, high-performing core architecture, Freescale Qorivva MCUs build upon a broad portfolio of families optimized for a full range of automotive applications. From single-core to multicore solutions, Qorivva MCUs offer scalable, highly integrated solutions specifically designed for the automotive market, with a focus on quality and long-term reliability. Our next-generation Qorivva product families offer advanced timer systems, flexible motor control solutions and digital signal processing capabilities—all using the same core architecture. In addition, these technically advanced MCUs deliver reduced development costs through use of a consistent architecture, greater feature integration, as well as software and tool reuse. Qorivva processors are part of the Freescale product longevity program with guaranteed long-term availability of 15+ years.

StarterTRAK Development Boards

Complimentary to the StarterTRAK USB Development Kit, Freescale offers three feature-rich StarterTRAK development boards starting at only $99(USD) each. The StarterTRAK series of development boards offer more comprehensive system development and include select Qorivva 32-bit automotive MCU products with rich feature sets that address each of these market segments:

Body and security
Powertrain
Safety and chassis

Using StarterTRAK enables faster time to market and offers significant value at affordable prices.

The Freescale Tower System

The Freescale Tower System is a modular development platform for 8-, 16- and 32-bit MCUs and MPUs that enables advanced development through rapid prototyping. Featuring multiple development boards or modules, the Tower System provides designers with building blocks for entry-level to advanced MCU development.

Tags: freescaledocs, usb_kits, freescale, startertrak, qorivva, development_boards, Technology, automotive, mcu, software, tower_system

New compressed air hybrid tech

autoembedded — Fri, 08 Oct 2021 05:27:33 GMT

Current Revision posted to Documents by autoembedded on 10/8/2021 5:27:33 AM

Peugeot Citroën PSA has unveiled a new hybrid drivetrain that uses compressed air instead of electricity to provide a secondary source of propulsion. Called Hybrid Air, the new technology could allow a car the size of a Citroën C3 or a Peugeot 208 to emit as little as 69g/km of CO2.

Hybrid Air consists of a conventional petrol-powered internal combustion engine, mated to a bespoke epicyclic transmission, assisted by a hydraulic motor that’s powered by compressed air. The motor and a pump are positioned in the engine bay, fed by a compressed air tank underneath the car, running parallel to the exhaust. Using regenerative braking to generate energy, the motor and pump can refill the tank with air.

It can run on the petrol engine or air power alone, or a combination of the two. Air power would be employed solely for urban use, automatically activated below 43mph, and available for “60 to 80 per cent of the time in city driving,” claims PSA. Three drive modes are provided: full petrol engine, combined (ICE and hybrid) and zero-emission.

The system adds about 100kg to the weight of a traditional ICE powered small car, which is around half that of a conventional hybrid system. PSA claims it uses very simple, serviceable parts, with no rare metals like lithium-ion. The goal is to devlop a 'global' system that's cheaper than existing hybrids to appeal to China and Russia as much as European markets.

The firm also cites a 45 per cent improvement in fuel consumption over a conventionally powered car with an equivalent power output, and a 90 per cent increase in range.

PSA is looking to develop the technology for B- and C-segment cars, with petrol engines between 82 and 110bhp, as part of its drive to develop a car with 2l/100km (117mpg) fuel consumption by 2020. It also wants to use Hybrid Air in small vans. The first production models are planned for 2016, but both Peugeot and Citroen could display cars fitted with the technology at the Geneva motor show.

Via Autocar

Tags: hydraulics, compressed_air, CO2, hybrid_air, combustion_engine, Technology, automotive, hybrid, petrol_powered, drivetrain, auto_tech, new_tech

Test drive S12G 16-bit MCUs with a modular platform*

iLOVEautomotive — Fri, 08 Oct 2021 05:27:31 GMT

Current Revision posted to Documents by iLOVEautomotive on 10/8/2021 5:27:31 AM

Freescale StarterTRAK USB kits are designed for you to easily and inexpensively test drive the 16-bit S12 MCU architecture. The StarterTRAK USB features specific S12 products with rich feature sets to give you a head start in evaluating and benchmarking our line of processors. These ultra-cost-effective development kits enable comprehensive silicon evaluation starting at only $25 (USD) and offer design expandability through the Freescale Tower System.

Leveraging the growing portfolio of modules in the Tower System, you can create your own custom development system based on your S12 needs. Designing for automotive applications using StarterTRAK USB means faster time to market and an affordable introductory price into the S12 line of processors.

Features

OSBDM debugger through USB
Primary Tower System connector
S12G128 16-bit MCU
Temperature sensor
Three user-programmable multi-colored LEDs
Two user-programmable push buttons

Click here to learn more about Freescale's StarterTRAK USB Kit (Documentation, downloads, updates & More)

Tags: freescaledocs, transportation, 16bit, fact_sheet, freescale, s12g, startertrak, automotive, mcu, test_drive, pemperature_sensor, automotive_applications, tower_system

Easily and inexpensively give Freescale's 16-bit S12G MCUs a test drive*

iLOVEautomotive — Fri, 08 Oct 2021 05:27:29 GMT

Current Revision posted to Documents by iLOVEautomotive on 10/8/2021 5:27:29 AM

Freescale's StarterTRAK USB kit (TRK-USB-S12G128) is designed to easily and inexpensively give Freescale's 16-bitS12G MCUs a test drive. This kit is designed to enable rapid prototyping and MCU evaluation. It can operate as a standalone debug tool as well as combined and used as part of the modular Tower System development platform.

The S12G MCU is an optimized, automotive, 16-bit product line focused on low-cost, high-performance and low pin-count. The S12G is suited for automotive body applications requiring CAN or LIN/SAE J2602 communication.

Features

S12G128 16-bit MCU
Temperature sensor
Primary tower system connector
Three user-programmable multi-colored LEDs
Two user-programmable push buttons
OSBDM debugger through USB

Learn more about the TRK-USB-S12G128 here.

Tags: 16bit, automotive_design, freescale_docs, s12g, startertrak, usb_development, Technology, prototyping, automotive, mcu, innovation, tower_system

Video: StarterTRAK speeds your design for Qorivva 32-bit Automotive MCUs*

iLOVEautomotive — Fri, 08 Oct 2021 05:27:24 GMT

Current Revision posted to Documents by iLOVEautomotive on 10/8/2021 5:27:24 AM

The StarterTRAK series are specifically chosen automotive Qorivva 32-bit MCUs and the S12G 16-bit MCU products with rich feature-sets that address each of these market segments (Body and Security, Powertrain, Infotainment and Safety & Chassis). Using StarterTRAK enables rapid prototyping, tool re-use and offers significant value at affordable prices.

www.youtube.com/watch

StarterTRAK Kits Starting at $25!

Tags: 32bit, infotainment, 16bit, freescale, s12g, powetrain, startertrak, qorivva, Technology, body_control, prototyping, automotive_safety, automotive

Development kit for the Qorivva MPC560xB/C family of 32-bit MCUs*

iLOVEautomotive — Fri, 08 Oct 2021 05:23:51 GMT

Current Revision posted to Documents by iLOVEautomotive on 10/8/2021 5:23:51 AM

The TRK-MPC5606B development kit for the Qorivva MPC560xB/C family of 32-bit MCUs includes the latest in integrated devices for automotive body electronics applications. These scalable Power Architecture® devices are supported by an enablement ecosystem that includes software drivers, operating systems and configuration code to help you quickly implement your designs.

Features

MPC5606B MCU in a 144LQFP package
On-board JTAG connection via open source OSBDM circuit using the MPC9S08JM MCU
MCZ3390S5EK system basis chip with advanced power management and integrated CAN transceiver
CAN and LIN interface
Analog interface with potentiometer
High-efficiency LEDs
SCI serial communication interface

Kit Contains

TRK-MPC5606B Board
TRK-MPC5606B DVD-ROM (includes CodeWarrior software)
USB A–to–B Cable
Freescale Warranty Card

Tags: 32bit, freescaledocs, freescale, qorivva, automotive, development_kit, mcu, body_electronics, body_electronics_applications, innovation