The estimation of the state-of-charge (SOC) in battery technology is a vital task for the battery
management system (BMS). In this study, a modeling framework is presented for SOC …

Accurately predicting the spatial-temporal distribution of electric vehicles (EVs) load is of
great significance to the optimal dispatching and safe operation of the power grid. This …

By 2050, global sales of electric vehicles (EVs) are predicted to account for approximately
70% of all vehicle sales. However, whilst transitioning from combustion engine vehicles to …

The fear of being stranded by a depleted electric vehicle (EV) battery is commonly referred
to as 'range anxiety'. This study explores a future vision for a comprehensive driver alerting …

Coordinated charging of electric vehicles (EVs) improves the overall efficiency of the power
grid as it avoids distribution system overloads, increases power quality, and decreases …

Limited driving range and availability of charging infrastructures are still among the main
barriers of adoption of electric vehicles (EVs) in the market. Combination of those limiting …

The state of charge (SoC) of a vehicle battery can tend to vary depending on the driver's
driving patterns and circumstances. To accurately predict the SoC level, it is necessary to …

Optimal prediction and coordination of the energy demand of electric vehicles (EVs) is
essential to address the energy availability and range anxiety concerns of current and …

Battery electric vehicles (BEVs) require new driver information systems. We anticipate a new
integrated and networked information system class, combining data input from central car …

As the market share of electric vehicles (EVs) continues to grow, driving range capability has
emerged as a primary concern for drivers, car manufacturers, and policymakers. Accurate …