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Predictive On-Board Diagnosis for Hybrid Electric Vehicles with In-Vehicle Navigation Unit
ISSN: 0148-7191, e-ISSN: 2688-3627
Published April 14, 2015 by SAE International in United States
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As the percentage of Hybrid Electric Vehicles (HEV) is increasing, On-Board Diagnosis (OBD) faces new challenges such as limited combustion engine runtime. Moreover, predictive driving strategies for HEV assure that more vehicles are equipped with navigation systems. These systems can provide information about the road conditions such as limit speed, curvature and slope. In this study, navigation road information is used to predict monitoring conditions of OBD functions so that the available OBD time can be used effectively. As an example, catalyst monitoring is considered and a simple vehicle model is proposed which takes velocity and slope prediction from the navigation system to predict torque and exhaust mass flow. The model is composed of a combination of longitudinal motion and a power train torque transition model. Results of this effort are presented for different velocity profiles.
CitationSarac, I., Wagner, A., Fischer, U., and Schnurr, R., "Predictive On-Board Diagnosis for Hybrid Electric Vehicles with In-Vehicle Navigation Unit," SAE Technical Paper 2015-01-1224, 2015, https://doi.org/10.4271/2015-01-1224.
- Radke T. , Fischer U. , Wagner A. Connected energy-based power train control for various hybrid vehicle topologies 23. Aachen Colloquium 2014
- Musardo C. , Rizzoni G. A-ECMS: An Adaptive Algorithm for Hybrid Electric Vehicle Energy Management IEEE Conference on Decision and Control, and the European Control Conference 2005
- Guzzella L. , Sciarretta A. Vehicle Propulsion Systems 978-3-642-35912-5 Springer 2013
- Kraft D. , Mann K. , Sterzing S. , Huber T. e al. Modellgestütze Entwicklung von Komponenten für Hybridfahrzeuge Autoreg, Wiesloch 2006
- Ambühl D. Energy Management Strategies for Hybrid Electric Vehicles Dissertation ETH Zürich 2009
- 2013/529/EU Commission Implementing Decision of 25 October 2013 on the approval of the Bosch system for navigation-based preconditioning of the battery state of charge for hybrid vehicles as an innovative technology for reducing CO 2 emissions from passenger cars pursuant to Regulation (EC) No 443/2009 of the European Parliament and of the Council Text with EEA relevance