DRIVEN by climate change, the present-day transportation sector is tran-sitioning to
electrically powered mobility. In this transition, the battery electric bus is a key solution that is …

In view of the increasing electrification of public city transport, an accurate energy
consumption prediction for Battery Electric Buses (BEBs) is essential. Conventional …

Similar to electric vehicles for the consumer market, the driving range of battery electric city
buses is still a limiting factor for market adoption. Furthermore, this driving range can vary …

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 …

Electric vehicle (EV) energy consumption is variable and dependent on a number of external
factors such as road topology, traffic, driving style, ambient temperature, etc. The goal of this …

Accurate energy consumption prediction is essential for optimal operation of battery electric
buses. Conventional prediction algorithms do not consider energy losses during turning of …

Predicting the real-time energy consumption of battery-operated electric vehicles (BEVs)
remains criticalin identifying energy-efficient routes and charging stations. However …

Energy consumption modeling for electric vehicles is conducive to achieving eco-driving
optimization and alleviating driver 'range anxiety'. However, it remains challenging due to …

We present a sensitivity analysis for a mechanical model, which is used to estimate the
energy demand of battery electric vehicles. This model is frequently used in literature, but its …