- Conference date: 6–8 August 2012
- Location: Las Vegas, Nevada, USA
Realistic duty cycles are critical for design and assessment of hybrid propulsion systems, in particular, plug-in hybrid electric vehicles. The analysis of the PHEV impact requires a large amount of data about daily missions for ensuring realism in predicted temporal loads on the grid. This paper presents two approaches for the reduction of the computational effort while assessing the large scale PHEV impact on the grid, namely 1) "response surface modelling" approach; and 2) "daily driving schedule modelling" approach. The response surface modelling approach replaces the time-consuming vehicle simulations by response surfaces constructed off-line with the consideration of the real-world driving. The daily driving modelling approach establishes a correlation between departure and arrival times, and it predicts representative driving patterns with a significantly reduced number of simulation cases. In both cases, representative synthetic driving cycles are used to capture the naturalistic driving characteristics for a given trip length. The proposed approaches enable construction of 24-hour missions, assessments of charging requirements at the time of plugging-in, and temporal distributions of the load on the grid with high computational efficiency.
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