Browse Publications Technical Papers 2019-01-0636
2019-04-02

Evaluation of the Heavy Vehicle Event Data Recorder for the Freightliner New Cascadia with Detroit Diesel Engines 2019-01-0636

For model year 2018, Freightliner introduced the New Cascadia model to their lineup of Class 8 trucks. Testing of the Freightliner New Cascadia with Detroit Diesel engines was conducted to evaluate the accuracy of the reported event data contained in the engine Electronic Control Units (ECUs) for these trucks. The testing showed that there are occurrences in DDEC Reports, specifically in the Last Stop Record and Hard Braking event data, when the time between successive event data points was two seconds rather than the reported one second interval. The occurrence of the two-second anomaly was not always present in a Last Stop Record or Hard Braking event. When the two-second anomaly was present in the event data, it occurred randomly and no pattern to when this anomaly occurs was determined. No method was found to be able to detect the presence of this anomaly from the review of a Last Stop Record or Hard Braking event. The testing also showed that the magnitudes of the reported vehicle speed, engine speed, and accelerator pedal position matched the respective magnitudes being broadcast on the vehicle’s SAE J1939 controller area network (CAN).

SAE MOBILUS

Subscribers can view annotate, and download all of SAE's content. Learn More »

Access SAE MOBILUS »

Members save up to 16% off list price.
Login to see discount.
Special Offer: Download multiple Technical Papers each year? TechSelect is a cost-effective subscription option to select and download 12-100 full-text Technical Papers per year. Find more information here.
We also recommend:
TECHNICAL PAPER

Acceleration Testing of 2016 Freightliner Cascadia with Automated Manual Transmission in Auto Mode

2017-01-1426

View Details

TECHNICAL PAPER

Simulating the Effect of Collision-Related Power Loss on the Event Data Recorders of Heavy Trucks

2010-01-1004

View Details

JOURNAL ARTICLE

On the Digital Forensics of Heavy Truck Electronic Control Modules

2014-01-0495

View Details

X