Case study: Intelligent data logger for electric trucks

The project focused on collecting diagnostic data from the vehicle’s charging system.

The collected data was analyzed to support the development of charging technology for electric trucks.

TK Engineering developed an intelligent CAN-based data logging solution for a prototype electric truck in cooperation with Elways AB in Sweden. In this case study TKE has used a combination of the Kvaser Memorator Pro 2xHS v2 and the CANtrace CAN analyzer to help a customer realize collection and logging of diagnostics data from a prototype electrical truck. 

Elways AB is developing system for charging the batteries of an electrical truck while driving. Charging is done using an electrical rail embedded in the road. TKE has also previously helped the customer during development of the collector arm that connects to the rail and provides the power for charging the truck’s batteries.

Although during project developed intelligent data logger for electric trucks and the customer realized they needed more data about the charging process, including measuring electrical current in several locations and also more data from the charging controller.

Kvaser Memorator logging and analyzing CAN data from field tests

The solution combined the Kvaser Memorator Pro 2xHS v2 data logger with the CANtrace CAN analyzer to capture, store, and process diagnostic data during real-world field testing. The system automatically logged relevant CANopen and J1939 data based on predefined trigger conditions, ensuring efficient data collection and faster post-processing.

In practice TKE provided a Kvaser Memorator Pro 2xHS v2 intelligent data logger to log data during field tests on the road. Data logger stores the data from the diagnostics bus and is programmed to start and stop logging automatically depending on trigger conditions in the diagnostics data. This ensures only data from the actual tests are included, which prevents wasting storage space and speeds up the post processing as only essential data needs to be processed.

Back at the office logged data can be analyzed and replayed using the CANtrace CAN analyzer. Furthermore the collected data can also be converted into many common formats and imported into desktop spreadsheet applications for making reports and calculations.

Results

As a conclusion TKE helped Elways AB by making software that collects the needed data from both CANopen and J1939 busses with the help of CAN bus diagnostics. As a result collected data was able to convert into a format that is suitable for logging and sends it out on a CAN bus dedicated for diagnostics.

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