Vehicle velocity prediction is of great significance in electric vehicle (EV) energy
consumption evaluation. However, vehicle velocity prediction is complicated due to the …

Achieving accurate speed prediction provides the most critical support parameter for high-
level energy management of plug-in hybrid electric vehicles. Nowadays, people often drive …

Driving cycle prediction plays a key role in energy management strategy (EMS) for hybrid
electric vehicles (HEVs). This paper studies a driving cycle prediction method based on …

In order to improve the performance of predictive energy management strategies (PEMS), a
novel neural network based vehicle velocity prediction strategy (NN-VVP) was proposed …

Vehicle velocity forecast is an important clue in improving the performance of energy
management in hybrid electric vehicles (HEV). This paper presents a new combined model …

Driving behavior is one of the most critical factors in traffic accidents. Accurate vehicle
acceleration prediction approaches can promote the development of Advanced Driving …

Prediction of short-term future driving conditions can contribute to energy management of
plug-in hybrid electric vehicles and subsequent improvement of their fuel economy. In this …

The electrification of fuel vehicles has become a trend all around the world. For HEV and
PHEV, the prediction of the future velocity affects the energy distribution and energy …

Short-term prediction models for an ego-vehicle's speed contributes to the improvement of
vehicle safety, driveability, and fuel economy. To achieve these desired outcomes, an …

With increasing mass-adoption of electric vehicles, the energy consumption has become a
key performance index to electric vehicle drivers, automakers and policy-makers. Accurate …