Battery electric vehicle usage pattern analysis driven by massive real-world data

D Cui, Z Wang, P Liu, S Wang, Z Zhang, DG Dorrell… - Energy, 2022 - Elsevier
Electric vehicles (EVs) are playing a key role in supporting transportation electrification and
reducing air pollution and greenhouse gas emissions. The increased number of EVs may …

Integrating system dynamics and agent-based modeling: A data-driven framework for predicting electric vehicle market penetration and GHG emissions reduction …

W Zhan, Z Wang, J Deng, P Liu, D Cui - Applied Energy, 2024 - Elsevier
As the growing deployment towards transportation electrification, a critical focus has
emerged on quantifying the reduction contribution of greenhouse gas emissions from …

The rise of electric vehicles–2023 status and future directions

V Karthikeyan, G Kirubakaran… - Energy Efficient …, 2024 - taylorfrancis.com
In recent years, the global automobile industry has witnessed a significant shift towards
electric vehicles (EVs) as a result of increasing environmental concerns and decreasing …

Stacking regression technology with event profile for electric vehicle fast charging behavior prediction

D Cui, Z Wang, P Liu, S Wang, Y Zhao, W Zhan - Applied Energy, 2023 - Elsevier
Large-scale deployment of electric vehicles (EVs) poses a huge challenge to the operation
of the distribution network. As a possible mobile energy carrier, the interaction between EVs …

Coordinated charging scheme for electric vehicle fast-charging station with demand-based priority

D Cui, Z Wang, P Liu, Z Zhang, S Wang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The widespread adoption of electric vehicles (EVs) with fast-charging capability has
presented significant challenges to the safe operation of power distribution networks. Issues …

Intelligent real-time power management of multi-source HEVs based on driving state recognition and offline optimization

AM Ali, B Moulik, D Söffker - IEEE transactions on intelligent …, 2022 - ieeexplore.ieee.org
Electric vehicles (EVs) are promising alternatives to carbonized propulsion-based vehicles.
They are capable of reducing environmental degradation without compromising driving …

Characterizing driver behavior using naturalistic driving data

J Lee, K Jang - Accident Analysis & Prevention, 2024 - Elsevier
This study highlights the significance of understanding and categorizing driving styles to
improve traffic safety and increase fuel efficiency. By analyzing a comprehensive dataset of …

Data-driven multi-dimension driving safety evaluation for real-world electric vehicles

J Hong, F Liang, H Zhang, Y Chen, R Li… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
While the number of electric vehicle traffic accidents has increased consistently over the
recent years, this has resulted in significant property losses and personal risks for drivers …

A supervised learning-based approach to anticipating potential technology convergence

S Choi, M Afifuddin, W Seo - IEEE Access, 2022 - ieeexplore.ieee.org
Technology convergence can trigger technological innovation and change. Therefore, it is
required to develop an approach to predict the convergence between technology fields that …