Driving conditions-driven energy management strategies for hybrid electric vehicles: A review

T Liu, W Tan, X Tang, J Zhang, Y Xing, D Cao - Renewable and Sustainable …, 2021 - Elsevier
Motivated by the concerns on transported fuel consumption and global air pollution,
industrial engineers and academic researchers have made many efforts to construct more …

A survey on key techniques and development perspectives of equivalent consumption minimisation strategy for hybrid electric vehicles

Z Chen, Y Liu, M Ye, Y Zhang, G Li - Renewable and Sustainable Energy …, 2021 - Elsevier
Hybrid electric vehicles (HEVs), as a promising solution to mitigate environmental pollution
and reduce fuel consumption, employ a combination of fuel and electric power as power …

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 …

Hybrid sources powered electric vehicle configuration and integrated optimal power management strategy

AK Gautam, M Tariq, JP Pandey, KS Verma… - IEEE Access, 2022 - ieeexplore.ieee.org
Internal Combustion Engine based transportation rapidly increases the impact on the
environment. The burning of fossil fuels in the industries and transportation sector breadth of …

Self-supervised reinforcement learning-based energy management for a hybrid electric vehicle

C Qi, Y Zhu, C Song, J Cao, F Xiao, X Zhang… - Journal of Power …, 2021 - Elsevier
Reinforcement learning is a new research hotspot in the energy management strategy. At
present, some problems in the application of reinforcement learning to energy management …

DQL energy management: An online-updated algorithm and its application in fix-line hybrid electric vehicle

R Zou, L Fan, Y Dong, S Zheng, C Hu - Energy, 2021 - Elsevier
With decades' development of energy management strategy in hybrid electric vehicle,
learning-based method has been deemed as a key solution for energy economy and real …

Global optimization energy management for multi-energy source vehicles based on “Information layer-Physical layer-Energy layer-Dynamic programming”(IPE-DP)

N Xu, Y Kong, J Yan, Y Zhang, Y Sui, H Ju, H Liu, Z Xu - Applied Energy, 2022 - Elsevier
To reveal the energy-saving mechanisms of global energy management, we propose a
global optimization framework of “information layer-physical layer-energy layer-dynamic …

Simultaneous multi-objective optimization of a PHEV power management system and component sizing in real world traffic condition

M Mahmoodi-k, M Montazeri, V Madanipour - Energy, 2021 - Elsevier
Due to emission concerns as well as fuel shortages and expenses, plug-in hybrid electric
vehicles (PHEVs) have become public and successful in the market. The performance of …

[HTML][HTML] A quantitative analysis of model predictive control as energy management strategy for hybrid electric vehicles: A review

Q Zhou, C Du - Energy Reports, 2021 - Elsevier
This paper innovatively applies fuzzy comprehensive evaluation (FCE) method with analytic
hierarchy process methodology (AHP) to quantitatively explore the academic value of …

Real driving energy consumption and CO2 & pollutant emission characteristics of a parallel plug-in hybrid electric vehicle under different propulsion modes

Y Wang, Y Wen, Q Zhu, J Luo, Z Yang, S Su, X Wang… - Energy, 2022 - Elsevier
PHEVs (Plug-in hybrid electric vehicles) are thought to be energy and environment friendly,
while these conclusions are seldom verified during real driving tests. To evaluate PHEV real …