I am part of the Department of Energy - SuperTruck3 program, working on establishing connectivity between trucks and the cloud. Working on features that would use connected truck data to improve freight efficiency and total cost of ownership.

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• Developed RealTime Driver Coaching feature development

  • Calculates a score based on road topology, driving behaviour and auxiliary energy usage 

  • Mass independent scoring: The same algorithm applicable to all and changing payloads

  • Developed using TRL development guide (TRL 1 - TRL5)

    • Literature/competitor study​

    • Subjective risk to objective weighting analysis

    • Compliance with driver privacy (USA Title 18 ch 123 and Title 49) and European DPPA laws 

    • Cost-to-benefit analysis

  • Post-trip driving report for driver feedback.

  • Prototype testing - Raspberry Pi 5 (with software support)

  •  Real-time analysis Dspace (ongoing)

• Data logging​

  • Responsible for collecting relevant vehicle data from fleet-deployed trucks. ​

  • Applications:

    • Low-resolution performance analysis​

    • High-resolution vehicle diagnosis file service team support

  • Setup trigger system with email notification for immediate error detection (gains customer trust)

  • Challenges - Early development trucks do not have perfect/complete DBC files. Weaved through incorrect signals, and corrected signal config before finalizing the list. 

Promoted to GRA position after the successful internship. Worked on the Department of Energy - SuperTruckII project. I built a collection of algorithms that predicted the cooling loads on a class 8 sleeper truck during hoteling. I created a modular approach for it to be scaled for the times outside hotelling for future use. 

This was my first opportunity to take independant decisions on a industry project. I was analyzing the reason behind the toppling of a CNG cascade rig from a class 6 truck during a head on collision event. I found the importance of the right sized bolts and the difference addition of washers can bring. 

This internship gave me a chance to learn and implement the models that I built as a GRA at CAR, OSU on a physical controller at PACCAR. I gained some experience working with industry level simulink models and implementing them on raptor controllers. I got a whole lot exposure into the electrical architecture and harness setup for truck systems,

This internship was a part probation period towards getting the opportunity to work as a Graduate Research Assistant at CAR. I took over work from a student who had graduated and worked on developing a Simulink model for the HVAC system of a truck cooling and heating system. 

This intenship was focused towards understanding the vehicle dynamics of a WB-62 truck. I analysed 2 types of maneuvers - constance speed and constant radius; and double lane change maneuvers. I wrote a MATLAB script to calculate the offtrackign in each case and identify the thresholds. 

I worked at 2 different bus depots. I got to learn about the TATA marcopolo 1623 low floor CNG busses. I worked with the Mechanics on the short daily service and the long yearly service for these busses that run in public transport.