Results 1 to 10 of about 3,998 (218)

Statistical Assessment and Temperature Study from the Interlaboratory Application of the WLTP–Brake Cycle [PDF]

open access: yesAtmosphere, 2020
The relative contribution of brake emissions to traffic-induced ambient Particulate Matter (PM) concentrations has increased over the last decade. Nowadays, vehicles’ brakes are recognised as an important source of non-exhaust emissions.
Theodoros Grigoratos   +2 more
exaly   +5 more sources

COMPARISON OF FUEL CONSUMPTION AND RECOVERABLE ENERGY ACCORDING TO NEDC AND WLTP CYCLES OF A VEHICLE

open access: yesCT&F Ciencia, Tecnología & Futuro, 2022
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   +3 more sources

An effective range estimation and state-of-charge to mitigate range anxiety in electric vehicles [PDF]

open access: yesHeliyon
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

Comparative Evaluation of the Effect of Vehicle Parameters on Fuel Consumption under NEDC and WLTP

open access: yesEnergies, 2020
Higher speeds, faster acceleration and longer duration need a more realistic driving cycle. As a result, a new test procedure that reflects real-world driving conditions has been applied since 2017, and the previous development environment optimized for ...
Kwan-Soo Lee
exaly   +3 more sources

Application of Machine Learning to Predict CO2 Emissions in Light-Duty Vehicles [PDF]

open access: yesSensors
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

Research on the results of the WLTP procedure for a passenger vehicle

open access: yesEksploatacja I Niezawodnosc, 2023
The article considers variables registered in the WLTP procedure. The test results of a passenger car with a compression-ignition engine have been analysed. The tests were carried out on a chassis dynamometer. The tests were performed for engine cold start and ran up to the point of reaching stabilized operating conditions.
Monika Andrych-Zalewska   +2 more
exaly   +2 more sources

Non-repeatability of the WLTP vehicle test results

open access: yesArchives of Transport
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

Lithium-Ion Battery Pack Cycling Dataset with CC-CV Charging and WLTP/Constant Discharge Profiles [PDF]

open access: yesScientific Data
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
doaj   +2 more sources

Development of dual polarization battery model with high accuracy for a lithium-ion battery cell under dynamic driving cycle conditions [PDF]

open access: yesHeliyon
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]

open access: yesSensors
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

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