Dynamic Average-Value Modeling of Hybrid-Electric Vehicular Power Systems

This paper extends the concept of dynamic average-value modeling to power-electronic-intensive hybrid-electric vehicular power trains. Hybrid vehicles with plug-in capability are becoming increasingly important in the study of emerging smart power grids, and their simulation using digital programs has gained widespread attention. This paper demonstrates the usefulness of averaging in preserving the dynamic characteristics of the vehicular system while reducing the computational intensity of its simulation on an Electromagnetic Transients Program-type simulator. This paper presents an example of averaging for modeling, simulation, and system-level studies of a power-split gear hybrid drive-train.

I. Introduction

Modeling and simulation of hybrid vehicular drive trains is an essential step in their concept evaluation, design, and optimization [1]. In recent years, the power systems industry has taken note of an emerging vehicular load due to the introduction of plug-in hybrid and electric vehicles. The presence of vehicular systems impacts the power grid in myriad ways, including its operation and planning [2]–[7]. It also calls for revisiting the way power systems are modeled, simulated, and studied. Conventional power system simulators do not include provisions, models, and study facilities for vehicular loads. The development of enhanced simulation platforms is, therefore, necessary to enable analysis of the future grid with embedded vehicular systems.