Tag: electric vehicles

Researchers deployed orthogonal causal machine learning on electric cargo vehicle telemetry to determine how driving speed interventions causally alter energy ...

A topical collection in the European Transport Research Review examines how the climate emergency and COVID-19 are reshaping long-term travel ...

A new hybrid review and original research article in Discover Vehicles presents a unified AI framework for intelligent sustainable mobility, ...

Coupling machine learning degradation forecasts with dynamic carbon accounting extends electric vehicle battery service lifetimes while reducing life cycle emissions ...

Electric vehicle registrations in Tamil Nadu increased by 137.61 percent between 2022 and 2025 as adoption spread across regional transport ...

A comprehensive vehicle-level simulation reveals how battery cell chemistry selection depends heavily on vehicle size and operating duty cycles across ...

A multi-stock-driven model estimates that electric vehicle adoption in China could drive 230 million early retirements of conventional vehicles while ...

A study analyzing 348,404 charging sessions in Jiaxing, China, demonstrates that machine learning forecasts and an offline decision twin reduce ...

A machine-learning framework that explicitly encodes the EPA, WLTP, or NEDC test protocol behind each official electric vehicle range label ...

A deep multi-agent reinforcement learning framework that jointly coordinates electric vehicle charging, traffic routing and grid dispatch cut total system ...

A reinforcement learning charging strategy that tracks hourly grid carbon intensity cut EV charging emissions by 1.62% while delivering identical ...

A comparative study of seven uncertainty-aware machine learning frameworks on real-world cargo EV data shows trade-offs between prediction accuracy, interval ...

A mini review argues that expansion force and pressure sensing can improve battery state estimation and provide thermal-runaway warning lead ...

A survey of 366 Bahraini consumers found that attitudes selectively mediate the link between EV beliefs and purchase intention, with ...

A psychometric re-analysis of 1,123 urban Indian survey responses found that knowledge, attitude and practice toward electric vehicles could not ...

A 500 W laboratory prototype of a dual-input converter with a modified deep neural network controller achieved a peak efficiency ...

A planning-level study of Kathmandu Valley's Gaushala-Ratopul corridor proposes pedestrian zones, cycle networks, electric buses and smart enforcement while flagging ...

A numerical study of a fifteen-cell air-cooled lithium-ion battery pack found that a three-fin configuration with turbulators operating at 4 ...

A simulation study reports that an AI-managed electric vehicle charging hub combining solar power, battery storage, LSTM demand forecasting and ...

A coordinated energy management framework combining demand response, peer-to-peer trading, and renewables reduced losses, improved reliability, and raised social welfare ...