Eco-driving strategy for fuel cell vehicles in car-following scenarios considering stack heat and durability based on SAC

S Zhan, C Liu, Y Yin, C Yu, C Zhao - Energy Conversion and Management, 2024 - Elsevier
Temperature is a key factor affecting the efficiency, durability, and safety of proton exchange
membrane fuel cell (PEMFC) stacks. However, current ecological driving (eco-driving) …

Energy sources durability energy management for fuel cell hybrid electric bus based on deep reinforcement learning considering future terrain information

K Li, J Zhou, C Jia, F Yi, C Zhang - International Journal of Hydrogen …, 2024 - Elsevier
Environmental working conditions have a great impact on the power demand and fuel
consumption of vehicles, and the rational use of road terrain information plays an important …

Hierarchical eco-driving control strategy for connected automated fuel cell hybrid vehicles and scenario-/hardware-in-the loop validation

Y Zhang, Z Wei, Z Wang, Y Tian, J Wang, Z Tian, F Xu… - Energy, 2024 - Elsevier
A reliable and real-time eco-driving control strategy that incorporates vehicle connectivity is
crucial for enhancing the fuel economy and mobility of fuel cell hybrid vehicles (FCHVs) …

Eco-driving policy for connected and automated fuel cell hybrid vehicles platoon in dynamic traffic scenarios

Y Jia, Z Nie, W Wang, Y Lian, JM Guerrero… - International Journal of …, 2023 - Elsevier
Cooperation of platooning vehicles enabled by eco-driving and connected and automated
technology has shown considerable potential in energy saving and traffic efficiency …

State of health prediction for proton exchange membrane fuel cells combining semi-empirical model and machine learning

J Hong, H Yang, F Liang, K Li, X Zhang, H Zhang… - Energy, 2024 - Elsevier
Durability is one of the main reasons limiting the large-scale application of fuel cells.
Accurate prediction of state of health can help improve fuel cells safety and lifetime. This …

Multi-objective optimization with Q-learning for cruise and power allocation control parameters of connected fuel cell hybrid vehicles

B Zhang, L Chang, T Teng, Q Chen, Q Li, Y Cao… - Applied Energy, 2024 - Elsevier
Fuel cell hybrid vehicles (FCHVs) are significant for achieving zero carbon emissions.
Connected FCHVs can leverage traffic information to collaboratively optimize cruise and …

Multiple electric components health-aware eco-driving strategy for fuel cell hybrid electric vehicle based on soft actor-critic algorithm

J Peng, J Zhou, J Chen, D Pi, J Wu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The eco-driving strategy based on deep reinforcement learning holds significant potential for
achieving energy efficiency, longevity, and safety of fuel cell hybrid electric vehicle (FCHEV) …

Multi-objective hierarchical energy management for connected plug-in hybrid electric vehicle with cyber–physical interaction

W Cui, N Cui, T Li, Y Du, C Zhang - Applied Energy, 2024 - Elsevier
Recently, the overall performances of plug-in hybrid electric vehicles (PHEVs) are expected
to be further improved by integrating multiple objectives and cyber–physical interaction …

A real-time robust ecological-adaptive cruise control strategy for battery electric vehicles

S Yu, X Pan, A Georgiou, B Chen… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
This work addresses the ecological-adaptive cruise control problem for connected electric
vehicles by a computationally efficient robust control strategy. The problem is formulated in …

Optimum energy management strategies for the hybrid sources-powered electric vehicle settings

A Meydani, H Shahinzadeh, H Nafisi… - 2024 28th …, 2024 - ieeexplore.ieee.org
The increasing attention towards electric vehicles (EV) is due to their capacity to alleviate
environmental consequences and decrease reliance on fossil fuels. This paper explores the …