The rapid development of intelligent transportation system (ITS) offers great opportunities to
improve the overall performance of energy management strategies (EMSs) for connected …

Driving prediction techniques (DPTs) are used to forecast the distributions of various future
driving conditions (FDC), like velocity, acceleration, driver behaviors etc. and the quality of …

The energy management problem of hybrid unmanned aerial vehicles (UAVs) is studied in
this paper, and an energy management strategy based on hierarchical model predictive …

To achieve better fuel economy for plug-in hybrid electric vehicles (PHEVs), this paper
proposes a novel improved adaptive equivalent consumption minimization strategy (A …

Accurate required power forecasting is critical to ensure the recharge mileage and to
optimize the energy utilization of heavy-duty vehicles. This paper proposed an artificial …

The main challenge for the pure electric vehicles (PEVs) with a hybrid energy storage
system (HESS), consisting of a battery pack and an ultra-capacitor pack, is to develop a real …

To improve the energy efficiency and driving condition adaptability of pure electric vehicles
(EVs) in a complex traffic environment, simulation conditions that can dynamically update …

The road gradient and trip range are of great significance in fuel consumption and emissions
of a range-extended electric vehicle (REEV). However, the traditional energy management …

Owing to the restriction of battery energy density and technology, the energy management
strategies (EMSs) of battery electric vehicles (BEVs) always play a critical role in reducing …

This paper introduces a Model Predictive Control (MPC) approach for the Shipboard Power
System (SPS) management under stressful high power loads. As part of the proposed …