Sentience - The Development of Location-Aware Vehicle Control Strategies
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:
- Enhanced acceleration/deceleration provides an advanced cruise control that matches the vehicle speed to the road ahead, avoiding fuel-wasting harsh braking and acceleration. This strategy is applicable to any vehicle.
- Intelligent air conditioning reduces the need to run the engine wastefully when the vehicle is stationary by anticipating stops and precooling the vehicle. This strategy is most applicable to mild hybrids and vehicles implementing stop/start.
- Optimized engine load manages the split of power between the engine and motors of a hybrid vehicle so that battery charging takes place at the optimum points along the route.
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
Featured Product
MATLAB
Up Next:
Related Videos:
웹사이트 선택
번역된 콘텐츠를 보고 지역별 이벤트와 혜택을 살펴보려면 웹사이트를 선택하십시오. 현재 계신 지역에 따라 다음 웹사이트를 권장합니다:
또한 다음 목록에서 웹사이트를 선택하실 수도 있습니다.
사이트 성능 최적화 방법
최고의 사이트 성능을 위해 중국 사이트(중국어 또는 영어)를 선택하십시오. 현재 계신 지역에서는 다른 국가의 MathWorks 사이트 방문이 최적화되지 않았습니다.
미주
- América Latina (Español)
- Canada (English)
- United States (English)
유럽
- Belgium (English)
- Denmark (English)
- Deutschland (Deutsch)
- España (Español)
- Finland (English)
- France (Français)
- Ireland (English)
- Italia (Italiano)
- Luxembourg (English)
- Netherlands (English)
- Norway (English)
- Österreich (Deutsch)
- Portugal (English)
- Sweden (English)
- Switzerland
- United Kingdom (English)
아시아 태평양
- Australia (English)
- India (English)
- New Zealand (English)
- 中国
- 日本Japanese (日本語)
- 한국Korean (한국어)