The paper introduces Dual Digital Twin, a digital twin with two communication levels, enabling real-time monitoring and control of battery systems in electric vehicles.

In this study, the authors propose a model predictive control of charging and discharging for EV batteries shared by multiple EMSs based on a mixed-integer quadratic programming method and a quadratic programming method.

In this paper, the authors develop a novel AI-assisted power management methodology for fast-charging EV hubs with battery storage systems.

The paper emphasizes the significance of sustainable energy solutions centered around electric vehicles (EVs).

The study compares rideshare drivers and commuters on symbolic and instrumental attribute perceptions, focusing on their influences on electric vehicle adoption intent.

This study introduces a cold-start emission model, integrating travel time, dynamic emission rates, and cold-start durations by fuel type.

This research tests an implicit assumption about plug-in electric vehicle (PEV) charging infrastructure: people—including people not interested in PEVs—see public PEV charging.

The study examined the impact of app notifications, including loyalty points, reserved parking, and social norm messages, on driving behavior among 703 EV drivers in the Netherlands.

In this study, a centralized, distributed dual-mode coupling drive system (DMC) is being developed to prevent high-intensity driving and reduce vehicle energy consumption by transferring drive force between coaxial wheels.

This paper evaluates a light-duty FCEV under both laboratory and on-road conditions.