Model truck

Inefficient driving techniques can increase carbon emissions and raise fuel consumption by as much as 10%. For a company with 20 trucks, each driven 120,000 kilometres a year, this translates to 200 tons

 of additional carbon dioxide emissions and 66,000 Euro added costs. Since there’s only so much you can do to raise your driver’s skill levels, electronics play an important part in increasing efficiency.

 Scania’s driver support system provides immediate feedback to drivers via a dashboard console. The system is supposed to help improve driving techniques, leading to fuel economy, safer driving, and less wear and tear on brakes and other parts. Now in production on R-Series trucks, Scania Driver Support was developed using MathWorks tools for Model-Based Design.

 

»Modeling the system in Simulink enabled us to define the architecture, visualize the design, and run simulations to debug the design at an early stage,« explains Jonny Andersson, Project Manager Scania Driver Support. »With Real-Time Workshop Embedded Coder, we generated code for early real-time prototypes as well as for the production system. As a result, we refined the design in the model instead of in low-level code.«

 (Jonny Andersson)

To keep down costs, Scania wanted to analyze driving scenarios based on input from the vehicle’s existing sensors. As a result, several key metrics had to be derived mathematically. The system would have access to more than 100 inputs, most of them via the CAN bus, including individual wheel speeds, engine torque, engine speed, vehicle speed, and the gear in use. Developing algorithms that would translate these inputs into driver performance assessments was a key challenge of the project.

 (Scania R 620)

Scania intended to reduce development time and enable early verification of the design on an actual ECU. They also needed to develop and evaluate different designs for the driver display panel. The simulation environment should enable engineers to test ideas early in development and then use simulation and code generation to reduce the number of road tests and prototypes.

 (Scania R730)

The team partitioned the design into subsystems to evaluate the driver’s hill driving, brake use, choice of gears, and anticipation. These subsystems, together with components that control the display, were modelled using Simulink. They used Stateflow to model the control logic that determines when driving conditions are safe to provide the driver with an update.
Scania engineers collected truck sensor data from the CAN bus for various topographies and traffic situations during road tests and then simulated the system in Simulink using the sensor data as input. In addition, they simulated fault conditions and other operating conditions that would have been difficult or impossible to re-create in actual driving tests.
Using Matlab, the team developed a prototype user interface that displayed »Scania Driver Support« output. With »Matlab Compiler« they created a standalone executable of the interface that was used in the trucks. They generated code using Real-Time Workshop Embedded Coder and deployed it to a prototype ECU, enabling real-time road testing.
Throughout development, the »Model Advisor« tool in Simulink ensured that the models complied with Scania modeling standards. These standards were based on lessons learned from similar Simulink based projects and on MAAB guidelines. Many were implemented as customized Model Advisor checks to make them easier to follow. During simulations the team used Simulink Verification and Validation to analyze model coverage and identify untested elements of the design.
After thoroughly testing the system through simulations and road tests, they generated production code for the target ECU using Real-Time Workshop Embedded Coder. The ECU is now deployed on Scania R-Series trucks. Early tests show that drivers using the system have reduced fuel use by up to 11%.
»When compared with hand-coding, MathWorks tools probably enabled us to complete the project at least six months earlier,« says Andersson. »Without MathWorks tools we probably would have had to add another engineer to the project, but with Simulink and Real-Time Workshop Embedded Coder we could focus on algorithm design at a higher level«.

Comments

[Andrew Kenedy]

Incredible!!! Thanks for your gorgeous blog.

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Nice invention..Hope system will really help to improve driving techniques by giving hints and feedback to refine driving style.

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All ready this trucks have got some good features and this new technique will add a good system and new driving techniques

[Natalie1962]

Vielen Dank, gute Arbeit! Dies war das Zeug, das ich hatte zu haben.

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It's very true that, if we follow the driving rules then the fuel efficiency can get increased.

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