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Analysis of EV Charging Load Based on Household Driving Data in California

Abstract

We analyzed a detailed set of over 1000 daily driving traces of GPS-equipped residential vehicles in South California and combined them with the features of four Plug-in Hybrid Electric Vehicle (PHEV) models in order to develop a test data set for PHEV related studies in the field of smart grid. The four PHEV models that were studied are Chevrolet Volt, Honda Accord Plug-in, Ford Fusion Energi, and Toyota Prius Plug-in. The per-PHEV state-of-charge (SoC) traces, the per-PHEV charging load traces under different charging scenarios, and the distribution of per-PHEV initial SoC information are investigated in our analysis. Furthermore, our analysis addressed the factor of location with respect to six Southern California counties: Ventura County, Los Angeles County, Orange County, San Bernardino County, Riverside County, and Imperial County. Our analysis also separately investigated charging load on weekdays and weekends. Finally, we briefly discussed the various applications of the developed EV charging load models in conducting research related to smart grid and demand side management, incorporating temporal and locational EV charging load diversity.

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