Employee Milestone Anniversaries
Congratulations to the following employees as they celebrated a milestone anniversary during the last fiscal year. Thank you for your talent and dedication to deliver successfully on our mission and our goals!
- Jerry Bergsieker, PT and Vehicle R&D – 30 years
- Bob Brancato, PT and Vehicle R&D – 30 years
- Bruce Vernham, PT and Vehicle R&D – 25 years
- Tracey Wilson, PT and Vehicle R&D – 20 years
- Yasuo Fukai, PT and Vehicle R&D – 5 years
- Yasuo Tamai, Corporate Executive – 5 years
- Lauren Westbrook, CV Product Planning & Engineering – 5 years
- Rand Burzese, CV Product Planning & Engineering – 5 years
- Scott Manuel, CV Product Planning & Engineering – 5 years
- Phillip Ray, CV Product Planning & Engineering – 5 years
Isuzu Launches New Class 3/4 N-Series Gas Truck
On August 26, Isuzu started production of the 20iMY Class 3/4 N-Series Gas Truck in Charlotte, Michigan. This ITCA-led project represents the culmination of four years of combined effort by our engineering, validation, and production teams. With each product update, we are working to balance regulatory requirements with customer needs and advances in technology. The 20iMY introduces the new GM 6.6L V8 Gas Engine, which offers improved emissions capability and increased HP/torque. We also took this opportunity to increase steering angles for improved turning radius and to implement a larger fuel tank for increased driving range. While the new engine enables this vehicle to meet the greenhouse gas engine emissions standards, integration into the Isuzu vehicle came with many challenges related to packaging, controls, diagnostics, and cooling performance. Our engineering team worked through these challenges while maintaining product quality, cost, and timing. As this model year launches, we are already off and running on the 21-24MY projects, so stay tuned for more to come!
— Nicolette Gagne, Sr. Manager, CV Product Planning and Vehicle Engineering
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2020 Internship Program
At ITCA, we are always looking for fresh ideas and diverse perspectives to help us develop the best products for our customers. Through our Internship Program, not only are we able to tap into such ideas and perspectives, but we are also able to provide students with an opportunity to apply what they have learned in the classroom to real-world experiences in the automotive industry. Through the program, each intern is able to explore their areas of interest while helping the team reach its goals.
“It was a great pleasure for me to work as a PVRD intern at ITCA. Being a Computer Science student, I had a limited understanding regarding vehicles and their complex functionalities. However, my mentor and other teammates helped me to get familiar with the basics of vehicle operation. Using this information, I explored and implemented the concepts of AI, cloud computing, and IOT to create a data pipeline for an AI-based predictive maintenance project. I also got an opportunity to publish two research articles on vehicle predictive maintenance, as a co-author with my mentor and teammates.” — Aishwarya Kadam
ITCA Intern Presents Self-Exploration of Automated System Under Dynamic Environment at SAE
In a paper published in SAE, ITCA intern Weiyang Zhang introduced a unique algorithmic approach to vehicle mapping of the surrounding environment in order to achieve collision-free motion with timely responsivitiy, critical for the development of autonomous vehicles. The developed platform leverages a RRT (Rapidly-exploring Random Trees) global planner module and a DWA (Dynamic Window Approach) local planner module to generate the path and avoid static obstacles, respectively. The approach was validated by integrating the planning modules with SLAM (Simultaneous Localization and Mapping) and control models on a small-scale robotic vehicle.
Results of this approach demonstrate successful and efficient path planning as well as collision-less execution. Future work will expand the environmental conditions into complex terrains and dynamic obstacles while implementing/validating the algorithms in full-size vehicles to perform autonomous tasks such as parking and sweeping.
ITCA Engineers Present Electric Vehicle Modeling at JSAE/SAE
At the North American GT conference – Plymouth Michigan & JSAE’s Powertrains, Fuels, and Lubricants International Conference – Kyoto Japan, ITCA engineers Santhosh Pasupathi and Aishwarya Shetty presented the advantages of adopting a model-based approach for developing electric vehicles. Through map-based modeling, they demonstrated the potential for strategic prediction of control logic, i.e. to blend friction and regenerative braking, system performance optimization, and prediction of the merit of new EV configurations while minimizing development time.
Aishwarya Shetty and Santhosh Pasupathi
ITCA Employee Presents AI-Based Predictive System at SAE World Congress
At the 2019 SAE World Congress, ITCA employee Yong Sun presented a unique methodology for machine-learning using a Convolutional Neural Network (CNN). This approach demonstrates the potential for populating the neural network with learning data for the purpose of automatic root cause analysis. The onboard AI will also be further refined by feedback from expert engineers.
ITCA Employee Presents AV Validation Platform at SAE World Congress
At the 2019 SAE World Congress, ITCA employee Yong Sun presented an autonomous vehicle validation platform that combines virtual simulation, vehicle-in-the-loop (VIL) testing, MCity proving ground testing, and final field testing in order to improve algorithm robustness under various traffic scenarios, environments, road conditions, and driving behaviors.
During the implementation of the platform, his team overcame various challenges involving data transmission, commuting time, sensor system consistency, and vehicle dynamic model consistency. The paper outlined case studies in perception, control, path planning, and existing data usage in order to demonstrate the proposed validation procedures.
ITCA Employees Publish Paper in SAE International on 1D Predictive Models in Engine Calibration
On April 2, 2019, ITCA Employees Lakshmidhar Reddy Uppalapati, Bruce Vernham, and Yifan Wei published a paper in SAE International describing a new Model-Based Calibration (MBC) approach that leverages physics-based 1D predictive models to perform engine calibration development and validation.
Using GT-Suite, the team developed phenomenological combustion and emission models along with air path dynamics to predict engine performance under various conditions, such as high altitude and high temperature. Calibration effort was significantly reduced, including a 70% reduction in engine testing, as the team was able to use results from this approach to determine the de-rating required to protect the engine without costly physical testing in environment conditions. This approach also contributes to better statistical models as it reduces the potential for errors resulting from engine aging, test cell variation, and engine-to-engine variation.
Going foward, this MBC approach demonstrates potential for improving friction modeling, PM modeling, tail-pipe emissions optimization, and transient/cycle-based emissions optimization.