Prediction of electric vehicle range: A comprehensive review of current issues and challenges
Electric vehicles (EV) are the immediate solution to drastically reducing pollutant emissions
from the transport sector. There is a continuing increase in the number of EVs in use, but …
from the transport sector. There is a continuing increase in the number of EVs in use, but …
[HTML][HTML] Artificial neural network driven prognosis and estimation of Lithium-Ion battery states: Current insights and future perspectives
Lithium-ion batteries currently represent the dominant energy storage technology due to
their superior efficiency and widespread compatibility, especially in Electric Vehicles (EVs) …
their superior efficiency and widespread compatibility, especially in Electric Vehicles (EVs) …
A comparative performance of machine learning algorithm to predict electric vehicles energy consumption: A path towards sustainability
The rapid growth of transportation sector and related emissions are attracting the attention of
policymakers to ensure environmental sustainability. Therefore, the deriving factors of …
policymakers to ensure environmental sustainability. Therefore, the deriving factors of …
A multi-data-driven procedure towards a comprehensive understanding of the activated carbon electrodes performance (using for supercapacitor) employing ANN …
Biomass resources are intensively used as economical and green-reserve precursor
preparation of sustainable carbon materials used in supercapacitors. The synthetic …
preparation of sustainable carbon materials used in supercapacitors. The synthetic …
Deep learning-based vibration stress and fatigue-life prediction of a battery-pack system
The primary concerns of the automotive industry are structural integrity and battery-pack
system (BPS) reliability. To ascertain the appropriate thickness of critical BPS components …
system (BPS) reliability. To ascertain the appropriate thickness of critical BPS components …
Online estimation of driving range for battery electric vehicles based on SOC-segmented actual driving cycle
H Wei, C He, J Li, L Zhao - Journal of Energy Storage, 2022 - Elsevier
The transport sector is one of the most polluting sectors globally, battery electric vehicles
(BEVs) are deemed as one alternative to improve the environmental efficiency for the …
(BEVs) are deemed as one alternative to improve the environmental efficiency for the …
Machine learning-based method for remaining range prediction of electric vehicles
L Zhao, W Yao, Y Wang, J Hu - Ieee Access, 2020 - ieeexplore.ieee.org
Limited driving range is one of the major obstacles to the widespread application of electric
vehicles (EVs). Accurately predicting the remaining driving range can effectively reduce the …
vehicles (EVs). Accurately predicting the remaining driving range can effectively reduce the …
A fast sliding-mode-based estimation of state-of-charge for Lithium-ion batteries for electric vehicle applications
O Rezaei, HA Moghaddam, B Papari - Journal of Energy Storage, 2022 - Elsevier
This paper present a 2-order fast embossing non-singular terminal sliding mode observer (2-
FENSTSMO) for the state of charge (SoC) estimation of lithium-ion batteries. As these …
FENSTSMO) for the state of charge (SoC) estimation of lithium-ion batteries. As these …
Real-time range estimation in electric vehicles using fuzzy logic classifier
Nowadays, many scientists and companies in the automotive sector in the world are
undertaking many important studies on electric vehicle technologies. For the electric vehicle …
undertaking many important studies on electric vehicle technologies. For the electric vehicle …
Electric vehicle routing, arc routing, and team orienteering problems in sustainable transportation
The increasing use of electric vehicles in road and air transportation, especially in last-mile
delivery and city mobility, raises new operational challenges due to the limited capacity of …
delivery and city mobility, raises new operational challenges due to the limited capacity of …