Electric Vehicles and Infrastructure

Quantum machine learning combined with explainable AI improves energy prediction for autonomous electric vehicles while ensuring transparent, trustworthy decision-making in smart city operations.

Agent-based simulation shows home charging enables electric minibus taxi adoption in sub-Saharan paratransit without operational restructuring, with distinct grid demand implications.

Analysis of New Rochelle's on-demand electric transit service shows strong ridership, lower operational costs, and multimodal integration potential for flexible public mobility.

Survey of integrated electric vehicle charging architectures combining plug-in, wireless, and auxiliary power functions in unified hardware to reduce complexity and improve efficiency.

Energy flow analysis of a fuel-cell hybrid electric heavy-duty truck reveals 47.98% stack efficiency and identifies thermal management as critical bottleneck for powertrain optimization

Framework combining ensemble PSO-GA optimization, blockchain consensus, and anomaly detection for secure resilient Vehicle-to-Grid energy trading networks under coordinated attacks.

Hybrid renewable microgrid optimization for EV charging in Egypt and Türkiye. Comparative techno-economic analysis of solar, wind, battery and hydrogen storage systems with zero power loss.

Study examines FCEV subsidies in South Korea's vehicle market, revealing that fuel cell incentives primarily shift demand from EVs rather than reducing fossil fuel vehicles, suggesting limited.

Study reveals how vehicle tax policies intended to promote low-carbon cars create distributional injustice as manufacturers exploit market power, undermining affordability and emission goals.

Study quantifies lithium-ion cell degradation from vehicle-to-grid cycling using real-world EV charging data, revealing that shallow V2G cycling at moderate depths maintains cell functionality.