The transition to Electric Vehicles (EVs) introduces challenges for power grid integration, particularly due to the growing demand for charging infrastructure. To support research on smart charging strategies and bidirectional charging applications, this study presents an open-access dataset containing 142 EV charging profiles obtained in a laboratory environment. The dataset includes static charging and discharging scenarios alongside dynamic profiles where the charging power is varied over time. These scenarios are applied to eight commercially available EVs, three of which support bidirectional charging. It features tests in alternating current and direct current charging modes and includes high-resolution time series of grid and vehicle parameters at sub-second intervals. The dataset is technically validated by assessing charging efficiency, reactive power injection, harmonics, and its suitability for development of digital EV models. This dataset supports applications like model validation, grid integration simulations in the context of Vehicle-to-Grid (V2G), charging infrastructure planning, and smart charging strategy development.

Under new EU regulation, as of 2035 all new cars and vans registered in the EU are set to be zero-emission. This ambitious target will be an important driver for a large-scale rollout of e-mobility across European cities. To ensure the successful planning of the energy infrastructure and optimized operation of the expanding e-mobility systems, smart and robust tools will be in high demand for various stakeholders, such as industry, city planners, or researchers. As part of the EU-funded research and innovation project DriVe2X, an interactive open-source prediction tool for Vehicle-to-Grid (V2G) operation and planning has been conceptualized and is under development. The main functions of this tool are the prediction of energy balance and flexibility at the public charging station level for a day-ahead operation and providing useful customized analytics for long-term planning purposes.

By 2050, there will be more than 1 billion electric vehicles (EVs) on the road. This presents an opportunity for Europe to rapidly expand its share of variable renewable energy (VRE) generation, which is in line with major climate policies at European Union (EU) level. Despite that promising outlook, the rapid growth of electric mobility will pose major technical challenges and infrastructural risks to Europe’s power system. One way to address this is through widespread implementation of smart bidirectional EV charging, which can potentially provide the power system with the flexibility to accommodate higher shares of VREs. The implementation scenarios for this technology are collectively known as vehicle-to-everything, or V2X, including vehicle-to grid (V2G), vehicle-to-home (V2H), and vehicle-to-building (V2B). This paper summarizes recent developments in the V2X arena, doing it in three stages. Firstly, it focuses on taxonomy aspects, performing a bibliometric analysis and studying technical term conventions. Secondly, it compiles relevant barriers to implementation and maps key issues addressed in scientific literature. And thirdly, it surveys past and existing projects to retrieve updated insights on its technical and market orientations. This review is produced as part of the EU-funded DriVe2X project, which develops new expert knowledge and technical solutions to help cope with the forthcoming mass EV deployment in Europe.