Andrew Preece, Ricardo
This session presents the Sentience project, which has pursued the application of information about a vehicle’s future route to improve fuel consumption. The project, a collaboration between Ricardo, Orange, TRL, Jaguar Land Rover, Ordnance Survey, and Innovits, has shown significant fuel consumption improvements on a demonstration hybrid vehicle.
During the initial phase, concepts were developed on the desktop using MATLAB and Simulink. Dynamic programming was used in MATLAB to provide a basis for strategies, which were developed in Simulink making use of a detailed vehicle model. Use of Real-Time Workshop coupled with the extensive use of the Embedded MATLAB® subset within the model allowed the rapid development of complex algorithms to the vehicle in the subsequent phase.
Three distinct fuel-saving strategies were developed:
The demonstration vehicle was subjected to an extensive test program: on the road, on a test track, and in a climatic chamber. MATLAB was used to process the test results and derive calibration improvements.
Results showed an estimated 10% CO2 and fuel saving in real-world U.K. driving.
Recorded: 22 jun 2010