An effective range estimation and state-of-charge to mitigate range anxiety in electric vehicles [PDF]
This article presents a performance investigation of the range and state of electric charge vehicles based on different drive cycles and analyzed. Range anxiety is the major concern in electric vehicles globally.
Shana Lakshmi Prasad, Abhishek Gudipalli
doaj +2 more sources
Application of Machine Learning to Predict CO2 Emissions in Light-Duty Vehicles [PDF]
Climate change caused by greenhouse gas (GHG) emissions is an escalating global issue, with the transportation sector being a significant contributor, accounting for approximately a quarter of all energy-related GHG emissions.
Jeffrey Udoh, Joan Lu, Qiang Xu
doaj +2 more sources
Lithium-Ion Battery Pack Cycling Dataset with CC-CV Charging and WLTP/Constant Discharge Profiles [PDF]
This work presents a database of a lithium-ion battery pack cycling tests generated from a custom test bench that simulates dynamic driving conditions based on the WLTP cycle. Current profiles were derived from speed-time data using MATLAB/Simulink and a
Joaquín de la Vega Hernández +2 more
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Development of dual polarization battery model with high accuracy for a lithium-ion battery cell under dynamic driving cycle conditions [PDF]
Lithium-ion batteries are a key technology for electric vehicles. They are suitable for use in electric vehicles as they provide long range and long life.
Merve Tekin, M. Ihsan Karamangil
doaj +2 more sources
State-of-Charge Estimation of Medium- and High-Voltage Batteries Using LSTM Neural Networks Optimized with Genetic Algorithms [PDF]
This study presents a hybrid method for state-of-charge (SOC) estimation of lithium-ion batteries using LSTM neural networks optimized with genetic algorithms (GA), combined with Coulomb Counting (CC) as an initial estimator.
Romel Carrera +3 more
doaj +2 more sources
Non-repeatability of the WLTP vehicle test results
The paper presents results of considerations on the repeatability of the passenger car test results obtained in the WLTP procedure on a chassis dynamometer. The research concerned the aspects of exhaust emissions and fuel consumption.
Jerzy Merkisz +2 more
doaj +2 more sources
Analysis of WLTP typical driving conditions that affect non-exhaust particle emissions [PDF]
Driving conditions have a large influence on particle generation from brake and tyre wear processes. Different driving conditions in experimental investigation of particle emissions from brake and tyre wear is one of the reasons why different - or even ...
GRIGORATOS THEODOROS +2 more
core +3 more sources
LABORATORY AND ON-ROAD CHARACTERIZATION OF EXHAUST EMISSIONS FROM PLUG-IN HYBRID VEHICLES AT MULTIPLE BATTERY STATES OF CHARGE CONDITIONS [PDF]
This paper discusses emissions from plug-in hybrid vehicles under various driving scenarios and reports experimental data obtained under laboratory and real-world conditions. Two European plug-in hybrid passenger cars were tested using the two test types
Joseph WOODBURN +3 more
doaj +1 more source
COMPARISON OF FUEL CONSUMPTION AND RECOVERABLE ENERGY ACCORDING TO NEDC AND WLTP CYCLES OF A VEHICLE
Since 1997, the NEDC (New European Driving Cycle) has been used to measure CO2 emissions. However, because this cycle is unable to accurately replicate real-world driving conditions, a new procedure has been developed.
M. İhsan Karamangil, Merve Tekin
doaj +1 more source
The use of biofuels in vehicles becomes more advantageous than the consumption of fossil fuels, mainly because it uses renewable sources of energy. Recently there are some concerns about biodiesel sources, and hydrotreated vegetable oils (HVO) appear as ...
Luis Serrano +3 more
doaj +1 more source

