A comprehensive review of energy management strategies for hybrid electric vehicles

Y Zhu, X Li, Q Liu, S Li, Y Xu - Mechanical Sciences, 2022 - ms.copernicus.org
In order to prevent the aggravation of global environmental problems, all industries are
facing the challenge of green development. In the automotive field, the development of “new …

An adaptive ECMS based on traffic information for plug-in hybrid electric buses

X Sun, Y Cao, Z Jin, X Tian… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Nowadays, a growing interest is in improving the efficiency of a parallel hybrid electric bus.
In this article, we propose an adaptive energy management strategy (EMS) based on an …

An improved energy management strategy for hybrid electric vehicles integrating multistates of vehicle-traffic information

H He, Y Wang, J Li, J Dou, R Lian… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This study aims to answer the key question for hybrid electric vehicles (HEVs) on how to
manage the power flow in HEVs with recent intelligent and electrified upgrades in …

Adaptive real-time energy management control strategy based on fuzzy inference system for plug-in hybrid electric vehicles

P Li, X Jiao, Y Li - Control Engineering Practice, 2021 - Elsevier
A novel control strategy for the adaptive real-time energy management of a commuter pull-in
hybrid vehicle is proposed. The proposed strategy can adapt to various driving conditions so …

Review on multi-objective optimization of energy management strategy for hybrid electric vehicle integrated with traffic information

A Du, Y Han, Z Zhu - Energy Sources, Part A: Recovery, Utilization …, 2022 - Taylor & Francis
Energy management strategy (EMS) is the core of hybrid electric vehicle (HEV) and directly
determines the road performance of HEV. The transient characteristics of traffic information …

Co-optimization strategy of unmanned hybrid electric tracked vehicle combining eco-driving and simultaneous energy management

L Guo, X Zhang, Y Zou, L Han, G Du, N Guo, C Xiang - Energy, 2022 - Elsevier
Combining eco-driving optimization and simultaneous proper energy management, this
paper proposes an efficient co-optimization strategy of unmanned hybrid electric tracked …

Predictive hierarchical eco-driving control involving speed planning and energy management for connected plug-in hybrid electric vehicles

J Xue, X Jiao, D Yu, Y Zhang - Energy, 2023 - Elsevier
The connected vehicle technique has offered great opportunities to improve further plug-in
hybrid electric vehicles (PHEVs) fuel economy. In this context, a predictive hierarchical eco …

Predictive cruise control for hybrid electric vehicles based on hierarchical convex optimization

H Gao, X Zhang, X Zeng, D Yang, D Song… - Energy Conversion and …, 2024 - Elsevier
Abstract Predictive Cruise Control (PCC) achieves automated driving with improved vehicle
economy by incorporating road gradient information from high-precision maps. However …

Cooperative control strategy for plug-in hybrid electric vehicles based on a hierarchical framework with fast calculation

Y Zhang, C Guo, G Li, Y Liu, Z Chen - Journal of Cleaner Production, 2020 - Elsevier
Developing optimal control strategies with capability of real-time implementation for plug-in
hybrid electric vehicles (PHEVs) has drawn explosive attention. In this study, a novel …

Robust collaborative optimization design of plug-in hybrid electric bus based on 6 Sigma theory

Z Jin, X Sun, Y Cai, X Tian - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This paper investigates the collaborative optimization of a plug-in hybrid electric bus (PHEB)
under uncertainty. As a public transport vehicle, long-term stable fuel economy is important …