Artificial intelligence approaches for advanced battery management system in electric vehicle applications: A statistical analysis towards future research opportunities

MSH Lipu, MS Miah, T Jamal, T Rahman, S Ansari… - Vehicles, 2023 - mdpi.com
In order to reduce carbon emissions and address global environmental concerns, the
automobile industry has focused a great deal of attention on electric vehicles, or EVs …

Prediction of electric vehicle driving range and performance characteristics: A review on analytical modeling strategies with its influential factors and improvisation …

A Gurusamy, B Ashok, B Mason - IEEE Access, 2023 - ieeexplore.ieee.org
Electric mobility is getting prominence in modern transportation as government policies aim
to reduce greenhouse gas (GHG) emissions. In the context of real-time testing, numerical …

[HTML][HTML] Artificial Intelligence-Based Electric Vehicle Smart Charging System in Malaysia

SJ Shern, MT Sarker, G Ramasamy… - World Electric Vehicle …, 2024 - mdpi.com
The worldwide transition to electric vehicles (EVs) is gaining momentum, propelled by the
imperative to reduce carbon emissions and foster sustainable transportation. In Malaysia …

[HTML][HTML] Optimizing electric vehicle driving range prediction using deep learning: A deep neural network (DNN) approach

SA Hasib, MM Gulzar, A Shakoor, S Habib… - Results in …, 2024 - Elsevier
The rapid growth in the popularity of Electric Vehicles (EVs) requires accurate driving range
predictions to minimize range anxiety and optimize trip planning, especially in real-world …

Transformer-based Graph Neural Networks for Battery Range Prediction in AIoT Battery-Swap Services

Z Li, Y Liu, C Zhou, X Liu, X Pan… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
The concept of the sharing economy has gained broad recognition, and within this context,
Sharing E-Bike Battery (SEB) have emerged as a focal point of societal interest. Despite the …

Real-time E-bike Route Planning with Battery Range Prediction

Z Li, G Ren, Y Gu, S Zhou, X Liu, J Huang… - Proceedings of the 17th …, 2024 - dl.acm.org
Electric bicycles (EBs) have gained immense popularity as an environmentally friendly and
convenient transportation mode. However, range anxiety remains a major concern for EB …

Ensemble-Based Robust Model for Accurate Driving Range Estimation of EVs Leveraging Big Data

S Hosseini, A Yassine, T Akilan - 2024 IEEE 8th Energy …, 2024 - ieeexplore.ieee.org
In the emergence of greener transportation, electric vehicles (EVs) play an important role,
where the accurate pre-diction of the driving range is pivotal for alleviating driver range …

[PDF][PDF] Artificial Intelligence Approaches for Advanced Battery Management System in Electric Vehicle Applications: A Statistical Analysis towards Future Research …

MSH Lipu, MS Miah, T Jamal, T Rahman, S Ansari… - 2023 - e-helvetica.nb.admin.ch
In order to reduce carbon emissions and address global environmental concerns, the
automobile industry has focused a great deal of attention on electric vehicles, or EVs …

Investigation in the Uncertainty of Chassis Dynamometer Testing for the Energy Characterization of Conventional, Electric and Automated Vehicles

M Di Russo - 2023 - search.proquest.com
For conventional and electric vehicles tested in a standard chassis dynamometer
environment precise regulations on the evaluation of their energy performance exist …