Sustainable transportation and power systems have the great potential to significantly reduce hydrocarbon consumptions and pollutant emissions over the world. The two key energy sectors are strongly coupled. For example, large-scale deployment of electrified vehicles is much beneficial to renewable ways of power generation by including wind and solar energy sources. Such good synergies between the transportation and power sectors accelerate a revolutionary transition towards a clean, high-efficiency, and affordable energy future. The inevitably increasing system complexity and the desire to make the most of sustainable energy systems constitute a major incentive to leverage advanced approaches of system modeling, simulation, control, optimization, diagnosis, and prognostics. The overarching intention of this special section is to provide timely solutions for technological and economic challenges in modeling, simulation, control, optimization, and fault diagnosis/prognosis of sustainable transportation and power systems. Emphasis will be on system-level modeling, optimization, and control, as well as component-level modeling and control, such as internal combustion engines, electric machines, photovoltaic arrays, and energy storage device. Additionally, various aspects of vehicle-to-grid, vehicle-to-home, and vehicle-to-traffic interactions are necessarily involved. We sincerely solicit original high-quality technical and survey articles that are not under consideration at other publication venues.

Potential topics include, but are not limited to:

• Modeling and control in clean-energy vehicles including advanced propulsion systems, electrified vehicles, nonelectric hybrid powertrains, etc.
• Modeling and control in intelligent transportation systems including connected vehicle technology, vehicle dynamics, driver emulation, vehicle active/passive safety, autonomous driving, ecodriving, intelligent infrastructure, etc.
• Modeling and control in energy storage systems including batteries, ultracapacitors, fuel cells, flywheels, and hybrid storage schemes
• Modeling and control in electric machines and motor drive systems for electrified vehicles and power system
• Modeling and control in power electronic circuits for electrified vehicles and power system
• Modeling and control in smart grid including microgrids, renewable energy integration, generation dispatch and unit commitment, power quality control, power flow analysis, etc.
• Modeling and control in synergies between vehicle, power grid, building, and traffic systems