Study by Argonne and Oak Ridge National Laboratories and the University of Michigan Used Deterministic Systems-Level Lifecycle Modeling to Understand Transportation System-Wide Effects of Wireless Charging and Shared Autonomous Battery Electric Vehicles (W+SABEV) Penetration.
Wireless Charging and Shared Autonomous Battery Electric Vehicles (W+SABEV): Synergies that Accelerate Sustainable Mobility and Greenhouse Gas Emission Reduction
The world’s largest economies are facing significant “energy and environmental burdens” from the transportation sector. Recent dramatic modal shifts, the emergence of clean vehicle technologies and the implementation of sustainable mobility systems have prompted the need to study how current trends impact mobility systems. The trends are driven primarily by the shared vehicle economy, connected and autonomous vehicles and vehicle electrification.
The study seeks to evaluate the interlocking relationships between these current trends and the subsequent impacts on transportation system utility, lifecycle greenhouse gas (GHG) emissions and vehicle technology adoption. This simulation analysis evaluated the transportation system-wide effects of widespread W+SABEV adoption in terms of impacts on GHG payback time, mobility and deployment burdens. Four key emerging technologies are therefore evaluated: wireless charging (W+), shared mobility, autonomous driving, and battery electric vehicles (BEVs).
A qualitative analysis focusing on the subsequent impacts of these four emerging technologies on transportation system dynamics and a quantitative analysis focusing on system design and GHG payback time, were performed using a deterministic, life-cycle simulation model. The analysis is not for one particular metropolitan area, but rather summarizes an example fleet based on the literature, historical data and model parameter ranges based on current and future technical capabilities.
The simulation analyses showed that adoption of wireless charging-enabled shared autonomous BEVs (W+SABEVs) into a transportation system can improve system-wide performance when compared to a fleet of manually-driven, plug-in charged EVs as follows: