Synthesis of Real-World Driving Cycles and Their Use for Estimating PHEV Energy Consumption and Charging Opportunities: Case Study for Midwest/U.S.

Abstract

This paper analyzes plug-in hybrid electric vehicle (PHEV) behavior, its impact on the electric grid, and possible charging opportunities using representative synthetic cycles with the consideration of daily driving schedules. The representative naturalistic cycles are synthesized through a stochastic process utilizing transition probability matrices extracted from naturalistic driving data collected in the Midwest region of the United States. The representativeness of the cycles is achieved through the subsequent statistical analysis. The distributions of the departure/arrival time and the rest time, analyzed from the real-world data at the key locations, complete the picture to analyze vehicle daily missions and the PHEV impact on the grid. PHEV simulation is used to determine the battery state of charge (SOC) distribution upon arrival. The results for typical locations such as residential, work, large business, and small business allow the assessment of the PHEV impact on the grid and possible charging opportunities during daily missions.