Transferable representation modelling for real-time energy management of the plug-in hybrid vehicle based on k-fold fuzzy learning and Gaussian process regression

Q Zhou, Y Li, D Zhao, J Li, H Williams, H Xu, F Yan - Applied energy, 2022 - Elsevier
Electric vehicles, including plug-in hybrids, are important for achieving net-zero emission
and will dominate road transportation in the future. Energy management, which optimizes …

A GA-based online real-time optimized energy management strategy for plug-in hybrid electric vehicles

L Fan, Y Wang, H Wei, Y Zhang, P Zheng, T Huang… - Energy, 2022 - Elsevier
The performance of plug-in hybrid electric vehicles (PHEVs) depends on the energy
management strategy (EMS). An optimal EMS can maximize energy utilization by …

Energy management of a dual-mode power-split hybrid electric vehicle based on velocity prediction and nonlinear model predictive control

C Xiang, F Ding, W Wang, W He - Applied energy, 2017 - Elsevier
In this paper, a real time energy management strategy (EMS) is proposed for a dual-mode
power-split hybrid electric vehicle in order to improve the fuel economy and maintain proper …

Energy management for a hybrid electric vehicle based on prioritized deep reinforcement learning framework

G Du, Y Zou, X Zhang, L Guo, N Guo - Energy, 2022 - Elsevier
A novel deep reinforcement learning (DRL) control framework for the energy management
strategy of the series hybrid electric tracked vehicle (SHETV) is proposed in this paper …

Health-conscious deep reinforcement learning energy management for fuel cell buses integrating environmental and look-ahead road information

C Jia, J Zhou, H He, J Li, Z Wei, K Li - Energy, 2024 - Elsevier
The escalating level of vehicle electrification and intelligence makes higher requirements for
the energy management strategy (EMS) of fuel cell vehicles. Environmental and road …

Particle swarm optimization-based optimal power management of plug-in hybrid electric vehicles considering uncertain driving conditions

Z Chen, R Xiong, J Cao - Energy, 2016 - Elsevier
This paper proposes a novel optimal power management approach for plug-in hybrid
electric vehicles against uncertain driving conditions. To optimize the threshold parameters …

Online energy management strategy of fuel cell hybrid electric vehicles based on data fusion approach

D Zhou, A Al-Durra, F Gao, A Ravey, I Matraji… - Journal of power …, 2017 - Elsevier
Energy management strategy plays a key role for Fuel Cell Hybrid Electric Vehicles
(FCHEVs), it directly affects the efficiency and performance of energy storages in FCHEVs …

[HTML][HTML] Artificial intelligence/machine learning in energy management systems, control, and optimization of hydrogen fuel cell vehicles

M Fayyazi, P Sardar, SI Thomas, R Daghigh, A Jamali… - Sustainability, 2023 - mdpi.com
Environmental emissions, global warming, and energy-related concerns have accelerated
the advancements in conventional vehicles that primarily use internal combustion engines …

An adaptive equivalent consumption minimization strategy for plug-in hybrid electric vehicles based on traffic information

Z Lei, D Qin, L Hou, J Peng, Y Liu, Z Chen - Energy, 2020 - Elsevier
Energy management strategies play an important role in performance optimization of plug-in
hybrid electric vehicles (PHEVs), and can be further improved by incorporating external …

Adaptive Pontryagin's Minimum Principle supervisory controller design for the plug-in hybrid GM Chevrolet Volt

S Onori, L Tribioli - Applied Energy, 2015 - Elsevier
This paper presents an adaptive supervisory controller, based on Pontryagin's Minimum
Principle (PMP), for on-line energy management optimization of a plug-in hybrid electric …