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Validity Assessment and Calibration Approach for Simulation Models of Energy Efficiency of Light-Duty Vehicles
ISSN: 0148-7191, e-ISSN: 2688-3627
Published April 14, 2020 by SAE International in United States
This content contains downloadable datasetsAnnotation ability available
Software tools for simulations of vehicle fuel economy/energy efficiency play an important role strategic decision-making in advanced powertrains. In general, there is a trade-off between the level of detail in a numerical model of a vehicle (higher detail provides better simulation accuracy), and the computational time resources to run the model. However, even with detailed models of a vehicle, there remains some uncertainty about how the vehicle performs in the real-world. Calibration of simulation models versus real-world data is a challenging task due to variations in vehicle usage by different owners. This work utilizes datasets of real-world driving in vehicles that have been equipped with OBD/GPS loggers. The loggers record at fairly high frequency the vehicle speed, road slope, cabin heating/air-conditioning loads, as well as energy/fuel consumption. For six advanced powertrain vehicle models (Bolt, Leaf, Model S, C-Max Energi, Prius Prime, Volt), an assessment is made regarding the accuracy of window-sticker ratings derived from standard dynamometer tests. One key observation is that while window-sticker ratings can be reasonably accurate when considering many trips across different vehicle owners, individual trips and/or averages for individual owners can vary quite a bit from the window-sticker ratings. Next, simulation accuracy/validity assessment is conducted for baseline version of FASTSim, which is an open-source software tool originally developed by NREL. Lastly, a calibration approach via mass and power adjustment terms is proposed. Results show success at improving the fidelity of FASTSim simulations.
- Karim Hamza - Toyota Motor North America Inc.
- Kang-Ching Chu - Toyota Motor North America Inc.
- Matthew Favetti - University of California Davis
- Peter Benoliel - University of California Davis
- Vaishnavi Karanam - University of California Davis
- Ken Laberteaux - Toyota Motor North America Inc.
- Gil Tal - University of California Davis
CitationHamza, K., Chu, K., Favetti, M., Benoliel, P. et al., "Validity Assessment and Calibration Approach for Simulation Models of Energy Efficiency of Light-Duty Vehicles," SAE Technical Paper 2020-01-1441, 2020, https://doi.org/10.4271/2020-01-1441.
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