Accurate real-time energy consumption prediction of electric buses (EBs) is essential for bus
operation and management, which can effectively mitigate the driving range anxiety while …

The estimation of energy consumption under real-world driving conditions is a prerequisite
for optimizing bus scheduling and meeting the requirements of route operation, thereby …

This study aims to build an interpretable energy model for urban buses considering
powertrain types to serve bus operators with minimal variables and simple structure, in …

This study presents a novel framework by which the energy consumption of an electric
vehicle (EV) or the zero‐emissions range of a plug‐in hybrid electric vehicle (PHEV) may be …

Transport electrification, which entails replacing fossil fuel-powered engines with electric
drivetrains through the use of electric vehicles (EVs), has been identified as a potential …

Due to the excellent energy-saving and environmental protection features, electric vehicles
(EVs) are gaining significant market penetration, especially in densely populated urban …

The prediction of electric city bus energy demand is crucial in order to estimate operating
costs and to size components such as the battery and charging systems. Unfortunately, there …

As the adoption of battery electric buses (BEBs) in public transportation systems grows, the
need for precise energy consumption forecasting becomes increasingly important. Accurate …

Because the strong coupling relationship between energy management and required
power, the Pontryagin's Minimum Principle (PMP)-based energy management should …

The accurate calculation of the energy consumption (EC) rates of Battery-Electric Buses
(BEBs) might be ambiguous due to uncertainties in amassing real-world operation data such …