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Assessment of Minimum Fuel Consumption Operation Strategy for Hybrid Powersport Drive-Trains by Means of Dynamic Programming Method
Technical Paper
2016-32-0015
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
The hybrid-electric drivetrain permits a multitude of new control strategies like brake energy recuperation, engine start-stop operation, shifting of engine working point, as well as in some situations pure electric driving. Overall this typically allows a reduction of fuel consumption and therefore of carbon dioxide emissions. During the development process of the vehicle various drivetrain configurations have to be considered and compared. This includes decisions regarding the topology - like the position of the electrical machine in the drivetrain (e.g. at the gearbox input or output shaft), as well as the selection of the needed components based on their parameters (nominal power, energy content of the battery, efficiency etc.). To compare the chosen variants, typically the calculated fuel consumption for a given driving cycle is used. For this simulation an energy management strategy is needed, which defines the power distribution between ICE, electric machine and mechanical brakes. However, the used operation strategy has a large influence on the achieved fuel consumption. Typically used online strategies (rule based approaches, neural networks, … ) have to be adapted for each configuration individually. Nevertheless, it cannot be guaranteed, that the individually optimized controllers work equally well for each configuration. To circumvent this problem, we use a mathematical method (so called dynamic programming) to calculate an optimal energy management for each considered configuration. This optimum represents a set of operation modes and operation points, which lead to the absolute minimum fuel consumption. Thereby a comparison of different configurations without influence of the control strategy becomes possible.
Authors
- Bernhard Schweighofer - Graz University of Technology, Austria
- Hannes Wegleiter - Graz University of Technology, Austria
- Michael Zisser - Graz University of Technology, Austria
- Paul Rieger - Graz University of Technology, Austria
- Christian Zinner - Graz University of Technology, Austria
- Stephan Schmidt - Graz University of Technology, Austria
Citation
Schweighofer, B., Wegleiter, H., Zisser, M., Rieger, P. et al., "Assessment of Minimum Fuel Consumption Operation Strategy for Hybrid Powersport Drive-Trains by Means of Dynamic Programming Method," SAE Technical Paper 2016-32-0015, 2016, https://doi.org/10.4271/2016-32-0015.Also In
References
- Wegleiter , H. , Schweighofer , B. , Holler , G. , and Brun-nader , R. Fast Quasi Optimal Control of Hybrid Electric Vehicles considering limiting Conditions European Electric Vehicle Congress 2011
- Bellman , R. The theory of dynamic programming Bull. Amer. Math. Soc. 60 6 503 515 http://projecteuclid.org/euclid.bams/1183519147 1954
- Sundström , O. Optimal Control and Design of Hybrid-Electric Vehicles Ph.D. thesis ETH-Zurich 2009