[HTML][HTML] Energy management strategies of connected HEVs and PHEVs: Recent progress and outlook

F Zhang, X Hu, R Langari, D Cao - Progress in Energy and Combustion …, 2019 - Elsevier
The rapid development of intelligent transportation system (ITS) offers great opportunities to
improve the overall performance of energy management strategies (EMSs) for connected …

Control of connected and automated vehicles: State of the art and future challenges

J Guanetti, Y Kim, F Borrelli - Annual reviews in control, 2018 - Elsevier
Autonomous driving technology pledges safety, convenience, and energy efficiency. Its
challenges include the unknown intentions of other road users: communication between …

Efficient energy management strategy for hybrid electric vehicles/plug‐in hybrid electric vehicles: review and recent advances under intelligent transportation system

C Yang, M Zha, W Wang, K Liu… - IET Intelligent Transport …, 2020 - Wiley Online Library
Efficient operation technique has always been one of the common goals for researches both
in automobile industrial and academic areas. With the great progress of automobile …

Review of optimization strategies for system-level design in hybrid electric vehicles

E Silvas, T Hofman, N Murgovski… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
The optimal design of a hybrid electric vehicle (HEV) can be formulated as a multiobjective
optimization problem that spreads over multiple levels (technology, topology, size, and …

Deep reinforcement learning enabled self-learning control for energy efficient driving

X Qi, Y Luo, G Wu, K Boriboonsomsin… - … Research Part C …, 2019 - Elsevier
To address the air pollution problems and reduce greenhouse gas emissions (GHG), plug-in
hybrid electric vehicles (PHEV) have been developed to achieve higher fuel efficiency. The …

A survey on driving prediction techniques for predictive energy management of plug-in hybrid electric vehicles

Y Zhou, A Ravey, MC Péra - Journal of Power Sources, 2019 - Elsevier
Driving prediction techniques (DPTs) are used to forecast the distributions of various future
driving conditions (FDC), like velocity, acceleration, driver behaviors etc. and the quality of …

A comprehensive review on classification, energy management strategy, and control algorithm for hybrid electric vehicles

Q Xue, X Zhang, T Teng, J Zhang, Z Feng, Q Lv - Energies, 2020 - mdpi.com
The energy management strategy (EMS) and control algorithm of a hybrid electric vehicle
(HEV) directly determine its energy efficiency, control effect, and system reliability. For a …

An adaptive firework algorithm optimization-based intelligent energy management strategy for plug-in hybrid electric vehicles

C Yang, K Liu, X Jiao, W Wang, R Chen, S You - Energy, 2022 - Elsevier
To enhance the energy management strategy (EMS) effect on improving the fuel economy of
plug-in hybrid electric vehicle (PHEV), the method of optimizing the key parameters of EMS …

Data-driven reinforcement learning–based real-time energy management system for plug-in hybrid electric vehicles

X Qi, G Wu, K Boriboonsomsin… - Transportation …, 2016 - journals.sagepub.com
Plug-in hybrid electric vehicles (PHEVs) show great promise in reducing transportation-
related fossil fuel consumption and greenhouse gas emissions. Designing an efficient …

Analytic solutions to the dynamic programming subproblem in hybrid vehicle energy management

V Larsson, L Johannesson… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
The computationally demanding dynamic programming (DP) algorithm is frequently used in
academic research to solve the energy management problem of a hybrid electric vehicle …