[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 …
A survey of powertrain configuration studies on hybrid electric vehicles
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 …
electric vehicles (HEVs). Apart from the energy management, the configuration of hybrid …
Adaptive ECMS with gear shift control by grey wolf optimization algorithm and neural network for plug-in hybrid electric buses
The plug-in hybrid electric bus (PHEB) is an important means of public transportation. For
PHEB, this article proposes an energy management strategy that considers both gear shift …
PHEB, this article proposes an energy management strategy that considers both gear shift …
A stochastic predictive energy management strategy for plug-in hybrid electric vehicles based on fast rolling optimization
This article proposes a stochastic predictive energy management strategy based on fast
rolling optimization for plug-in hybrid electric vehicles (PHEVs). First, combined with a large …
rolling optimization for plug-in hybrid electric vehicles (PHEVs). First, combined with a large …
An adaptive ECMS with driving style recognition for energy optimization of parallel hybrid electric buses
X Tian, Y Cai, X Sun, Z Zhu, Y Xu - Energy, 2019 - Elsevier
In this paper, an adaptive energy management system consisting of off-line and online parts
is presented to improve the energy efficiency of a parallel hybrid electric bus. The off-line …
is presented to improve the energy efficiency of a parallel hybrid electric bus. The off-line …
Online energy management strategy of fuel cell hybrid electric vehicles: A fractional-order extremum seeking method
In this paper, an online energy management control strategy is proposed based on a novel
fractional-order extremum seeking (ES) method. The proposed method is an online adaptive …
fractional-order extremum seeking (ES) method. The proposed method is an online adaptive …
Deep reinforcement learning based PHEV energy management with co-recognition for traffic condition and driving style
N Cui, W Cui, Y Shi - IEEE Transactions on Intelligent Vehicles, 2023 - ieeexplore.ieee.org
As one of the key technologies of plug-in hybrid electric vehicle (PHEV), the energy
management strategy (EMS) is interactively influenced by driving style, traffic condition as …
management strategy (EMS) is interactively influenced by driving style, traffic condition as …
Reinforcement learning-based real-time intelligent energy management for hybrid electric vehicles in a model predictive control framework
N Yang, S Ruan, L Han, H Liu, L Guo, C **ang - Energy, 2023 - Elsevier
This paper proposes a real-time energy management strategy (EMS) for hybrid electric
vehicles by incorporating reinforcement learning (RL) in a model predictive control (MPC) …
vehicles by incorporating reinforcement learning (RL) in a model predictive control (MPC) …
[HTML][HTML] Energy management of hybrid electric propulsion system: Recent progress and a flying car perspective under three-dimensional transportation networks
abstract The hybrid electric propulsion system (HEPS) holds clear potential to support the
goal of sustainability in the automobile and aviation industry. As an important part of the …
goal of sustainability in the automobile and aviation industry. As an important part of the …
Incorporating driving style recognition into MPC for energy management of plug-in hybrid electric buses
Vehicle fuel economy is greatly influenced by the driver's driving style. To achieve
remarkable promotion in the fuel economy, a novel predictive energy management strategy …
remarkable promotion in the fuel economy, a novel predictive energy management strategy …