The electric unmanned aerial vehicles (UAVs) are rapidly growing due to their abilities to
perform some difficult or dangerous tasks as well as many public services including real …

New energy sources such as solar energy and hydrogen energy have been applied to the
Unmanned Aerial Vehicle (UAV), which could be formed as the hybrid power sources due to …

Considering the importance of the energy management strategy for hybrid electric vehicles,
this paper is aiming at addressing the energy optimization control issue using reinforcement …

This paper presents a new approach to efficiently integrate long prediction horizons subject
to uncertainty into a stochastic model predictive control (MPC) framework for the energy …

As a complex and critical cyber-physical system (CPS), the hybrid electric powertrain is
significant to mitigate air pollution and improve fuel economy. Energy management strategy …

Efficiently solving the off-line control problem represents a crucial step to predict the fuel
economy capability of hybrid electric vehicles (HEVs). Optimal HEV control approaches …

This article presents an energy management strategy for parallel plug-in-hybrid electric
vehicles based on Pontryagin's minimum principle (PMP) that is suitable for series …

This paper reviews recent works related to optimal control of energy storage systems. Based
on a contextual analysis of more than 250 recent papers we attempt to better understand …

When designing hybrid vehicles, the energy management is formulated as an optimal
control problem. The Pontryagin's minimum principle represents a powerful methodology …

This paper proposes an adaptive energy management strategy for hybrid electric vehicles
by combining deep reinforcement learning (DRL) and transfer learning (TL). This work aims …