Ammonia-hydrogen propulsion system for carbon-free heavy-duty vehicles

H Zhang, N Lei, Z Wang - Applied Energy, 2024 - Elsevier
Growing concerns about greenhouse gas (GHG) emissions are driving research into carbon-
free propulsion systems. Heavy-duty long-haul transport faces challenges like rapid …

[HTML][HTML] A Bayesian approach to modeling fast chargers functionality for grid frequency support

M Mousavizade, R Garmabdari, F Bai, F Taghizadeh… - Applied Energy, 2025 - Elsevier
As governments around the world commit to achieving net zero emissions, the upcoming
years will witness a significant increase in fully electric vehicles (EVs), predominantly …

Modeling and control system optimization for electrified vehicles: A data-driven approach

H Zhang, N Lei, B Chen, B Li, R Li, Z Wang - Energy, 2024 - Elsevier
Learning-based intelligent energy management systems for plug-in hybrid electric vehicles
(PHEVs) are crucial for achieving efficient energy utilization. However, their application …

[HTML][HTML] A comparative climate-resilient energy design: Wildfire Resilient Load Forecasting Model using multi-factor deep learning methods

W Yang, SN Sparrow, DCH Wallom - Applied Energy, 2024 - Elsevier
Power grid damage and blackouts are increasing with climate change. Load forecasting
methods that integrate climate resilience are therefore essential to facilitate timely and …

Deep learning model-based real-time state-of-health estimation of lithium-ion batteries under dynamic operating conditions

T Tang, X Yang, M Li, X Li, H Huang, C Guan, J Huang… - Energy, 2025 - Elsevier
Accurate real-time estimation of the State-of-Health (SOH) of lithium-ion batteries is crucial
for the safe and reliable operation of fully electric vessels. However, estimating SOH in real …

Data-driven modeling and supervisory control system optimization for plug-in hybrid electric vehicles

H Zhang, N Lei, B Chen, B Li, R Li, Z Wang - ar** with Renewable Energy and Frequency Control Ancillary Service Through Aggregator
J Chen, K Strunz - IEEE Transactions on Transportation …, 2024 - ieeexplore.ieee.org
A methodology is designed for an aggregator to optimize the charging process of multi-area
and multi-functional bus charging stations. This methodology highlights the potential …