The transport sector is considered to be a significant contributor to greenhouse gas
emissions, as this sector emits about one-fourth of global CO 2 emissions. Transport …

The rapid development of intelligent and connected technologies is conducive to the
efficient energy utilization of hybrid electric vehicles (HEVs). However, most energy …

Vehicle modularization has become an emerging trend in the automotive industry, leading to
research on modular configuration, composition, and related control strategies. In this paper …

Reinforcement learning is a new research hotspot in the artificial intelligence community. Q
learning as a famous reinforcement learning algorithm can achieve satisfactory control …

This paper presents a comprehensive review of power management strategy (PMS) utilized
in hybrid electric vehicles (HEVs) with an emphasis on model predictive control (MPC) …

An energy management strategy, based on double deep Q-learning algorithm, is proposed
for a dual-motor driven hybrid electric tracked-vehicle. Typical model framework of tracked …

Global warming, air pollution, and fuel depletion have accelerated the deployment of hybrid
electric vehicles (HEVs). Apart from the energy management, the configuration of hybrid …

This paper presents an active disturbance rejection adaptive control scheme via full state
feedback for motion control of hydraulic servo systems subjected to both parametric …

This paper comprehensively reviews power management strategies (PMS) and component
sizing (CS) methods for hybrid vehicles with more than one energy storage system (ESS) …

Considering the changeable driving conditions in reality, energy management strategies for
fuel cell hybrid electric vehicles should be able to effectively distribute power demands …