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Co-Optimization of Vehicles and Routes Summer Internship Job

Date: May 27, 2021

Location: Mount Vernon, WA, US

Company: PACCAR

Requisition Summary

The PACCAR Technical Center is looking for an engineering intern interested in vehicle controls and electrical systems on medium and heavy duty battery electric and diesel powered trucks. This position’s primary tasks include hardware in the loop (HIL) test bench configuration to support electric powertrain and advanced driver assistance system (ADAS) development for PACCAR.

Company Information

PACCAR is a Fortune 500 company established in 1905. PACCAR Inc is recognized as a global leader in the commercial vehicle, financial, and customer service fields with internationally recognized brands such as Kenworth, Peterbilt, and DAF trucks.  PACCAR is a global technology leader in the design, manufacture and customer support of high-quality light-, medium-, and heavy-duty trucks under the Kenworth, Peterbilt and DAF nameplates.  PACCAR also designs and manufactures advanced diesel engines, provides financial services and information technology, and distributes truck parts related to its principal business.

Whether you want to design the transportation technology of tomorrow, support the staff functions of a dynamic, international leader, or build our excellent products and services — you can develop the career you desire with PACCAR. Get started!

Division Information

.The PACCAR Technical Center provides engineering excellence to the truck, engine, and winch divisions of PACCAR Inc through innovative product development and testing. The Technical Center is located in the Skagit Valley about 65 miles north of Seattle, Washington.

Job Functions / Responsibilities

Under the Co-optimization of Vehicles and Routes (CoVaR) program, PACCAR proposes a holistic approach to improving overall transportation system efficiency by addressing technical barriers at each stage of the transportation system i.e., supply chain, vehicle technology, and human factors (driver).

Non-optimal driving accounts for upto 30% of energy losses in a modern class 8 vehicle. Although, advanced driver assistance systems (ADAS) such as predictive and adaptive cruise control can help mitigate the influence of poor driving behavior, the operational design domain (ODD) for these technologies are currently limited to highway driving. For City and Pick-up & Delivery applications, driver-coaching features that reward the driver for optimal driving can help increase energy efficiency using simple vehicle architectures. Additionally, the cost of training a driver for commercial applications is a significant financial and operational burden on fleets and operators. At the same time, the trucking industry is facing unprecedented attrition in drivers because of e.g. changes in demography. Automated driver coaching can aid the industry by accelerate the skills development of a new driver. Technologies such as machine learning and edge artificial intelligence offer opportunities to deploy customized driver coaching features to train and reward the driver on good driving behavior. For these technologies to be effective however, the algorithms must be able to identify the driver to deliver targeted driver coaching recommendations that leverage past driving behavior.

The goal of this intern assignment is to develop an edge machine learning/artificial intelligence system to identify the driver with minimal additional sensors. The task for the assignment includes:

  1. Literature review to determine current state-of-the art and limitations
  2. Review of low-cost sensors that augment vehicle CAN for accurate driver identification
  3. Development edge architecture that integrates vehicle CAN data with additional sensors
  4. Development of Proof-of-concept hardware and software
  5. Integration and Validation on a PACCAR truck
  6. Data analysis and recommendations for further development

Education

Currently working for an undergraduate or graduate degree in engineering or relevant major

 

Additional Job Board Information

If you would like more information about what makes PACCAR an excellent place to work, please visit the PACCAR Career Site.

PACCAR is an Equal Opportunity Employer.


Nearest Major Market: Seattle
Nearest Secondary Market: Everett

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