This research aims to propose an Equivalent Circuit Model (ECM) based on Kalman filtering method and a data-driven technique, Deep Feed-Forward Neural Network (DFNN), for accurate SOC estimation of Electric Vehicle Battery (EVB).

The study surveys the market for electric two-wheelers in Vietnam and examines the country’s potential to become a leader in production of electric two-wheeler vehicles.

E-mobility is a key element in future energy systems. The capabilities of electric vehicles (EVs) are many and vary since they can provide valuable system flexibility services, including the management of congestion in transmission grids.

Transportation is the primary source of greenhouse gases, which are mostly contributed by fossil fuel-driven automobiles. The entire world is now focusing on reducing the dependency on fossil fuels and switching to using electric vehicles.

This study analyzes potential reductions in greenhouse gas emissions from using alternative refrigerants with low global warming potential and more efficient air conditioning systems in vehicles in India.

Battery state of charge (SOC), state of health (SOH), and state of power (SOP) are decisive factors that influence the energy-management system (EMS) performance of electric vehicles. However, the accurate estimation of SOC, SOH, and SOP remains challenging due to the high nonlinearity of the battery dynamic characteristics and the strong coupling among the states

This case study aims to assess the technical feasibility of urban and regional delivery in Germany based on real-world and per-vehicle operational data that feed into an energy simulation with Monte-Carlo modeling.

The European Union plans to build a fast charging network for trucks to decarbonize road freight transport. This paper presents two scenarios covering European highways with charging stations at regular intervals every 50 or 100 km along the most important highways.

This article provides a case study based on a real-world parking garage with a smart grid infrastructure called Dansmästaren. The analysis shows how renewable energy sources, energy storage technologies, and smart charging of electric vehicles can smooth out the load curve of the parking garage and relieve the electric grid during peak hours.

Electric vehicles (EVs) would connect to the grid using clean, renewable electricity; however, the interconnection between EVs and the grid brings about new challenges for traditional power systems. Plug-in hybrid and plug-in EVs have become more prevalent in the system; therefore, their impacts and benefits are also of concern.