Practical application of energy management strategy for hybrid electric vehicles based on intelligent and connected technologies: Development stages, challenges …
P Dong, J Zhao, X Liu, J Wu, X Xu, Y Liu… - … and Sustainable Energy …, 2022 - Elsevier
The rapid development of intelligent and connected technologies is conducive to the
efficient energy utilization of hybrid electric vehicles (HEVs). However, most energy …
efficient energy utilization of hybrid electric vehicles (HEVs). However, most energy …
[HTML][HTML] A review of electric bus vehicles research topics–Methods and trends
The transportation sector accounts for a significant share of greenhouse gas emissions.
Hence, the electrification of this sector is a crucial contributor to the mitigation of global …
Hence, the electrification of this sector is a crucial contributor to the mitigation of global …
[HTML][HTML] Thorough state-of-the-art analysis of electric and hybrid vehicle powertrains: Topologies and integrated energy management strategies
Hybrid and electric vehicles have been demonstrated as auspicious solutions for ensuring
improvements in fuel saving and emission reductions. From the system design perspective …
improvements in fuel saving and emission reductions. From the system design perspective …
Battery thermal-and health-constrained energy management for hybrid electric bus based on soft actor-critic DRL algorithm
Energy management is critical to reducing the size and operating cost of hybrid energy
systems, so as to expedite on-the-move electric energy technologies. This article proposes a …
systems, so as to expedite on-the-move electric energy technologies. This article proposes a …
Hydrogen fuel cell vehicles; current status and future prospect
The hazardous effects of pollutants from conventional fuel vehicles have caused the
scientific world to move towards environmentally friendly energy sources. Though we have …
scientific world to move towards environmentally friendly energy sources. Though we have …
Aging state prediction for supercapacitors based on heuristic kalman filter optimization extreme learning machine
With the advancement of wind energy, solar energy, and other new energy industries, the
demand for energy storage systems are worth increasing. Supercapacitors gradually stand …
demand for energy storage systems are worth increasing. Supercapacitors gradually stand …
Battery-involved energy management for hybrid electric bus based on expert-assistance deep deterministic policy gradient algorithm
Energy management is an enabling technique to guarantee the reliability and economy of
hybrid electric systems. This paper proposes a novel machine learning-based energy …
hybrid electric systems. This paper proposes a novel machine learning-based energy …
Jointly dampening traffic oscillations and improving energy consumption with electric, connected and automated vehicles: A reinforcement learning based approach
It has been well recognized that human driver's limits, heterogeneity, and selfishness
substantially compromise the performance of our urban transport systems. In recent years, in …
substantially compromise the performance of our urban transport systems. In recent years, in …
Deep reinforcement learning of energy management with continuous control strategy and traffic information for a series-parallel plug-in hybrid electric bus
Hybrid electric vehicles offer an immediate solution for emissions reduction and fuel
displacement under the current technique level. Energy management strategies are critical …
displacement under the current technique level. Energy management strategies are critical …
An energy-oriented torque-vector control framework for distributed drive electric vehicles
The over-actuated characteristics of distributed drive electric vehicles (DDEVs) provide a
flexible platform to pursue higher holistic performance. This article proposes a dual-model …
flexible platform to pursue higher holistic performance. This article proposes a dual-model …