Deep reinforcement learning has emerged as a promising candidate for online optimal
energy management of multi-energy storage vehicles. However, how to ensure the …

In the current studies on energy management strategy (EMS) for vehicle-following scenarios,
the accuracy of vehicle state predictions based on mechanistic models is influenced by the …

The comprehensive energy-saving strategy, achieved through the simultaneous
optimization of eco-driving and energy management strategy (EMS), further enhances the …

This paper proposes an energy management system (EMS) applied to a series hybrid
vehicle (SHV) powered by an internal combustion engine (ICE) and a hybrid energy storage …

In recent years, significant emphasis has been given for adopting electric vehicles due to
their zero-emission and improved well-to-wheel efficiency. However, the spread into the …

This paper reports the results of the studies on identifying the predictors of average wait
times of vehicles at intersections. The strength and direction of the relationship of these …

As one of the most promising approaches to address the climate change caused by massive
transportation, lithium-ion battery-based vehicle electrification has emerged, developed, and …

As environmental concerns continue to grow, promoting green sources of transportation has
become a priority for many governments and researchers. Electric vehicles (EVs) have …