Modeling and validation of 48v mild hybrid lithium-ion battery pack

SD Lee, J Cherry, M Safoutin, J McDonald… - SAE International Journal …, 2018 - JSTOR
As part of the midterm evaluation of the 2022-2025 Light-Duty Vehicle Greenhouse Gas
(GHG) Standards, the US Environmental Protection Agency (EPA) developed simulation …

A machine learning model for average fuel consumption in heavy vehicles

A Schoen, A Byerly, B Hendrix… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
This paper advocates a data summarization approach based on distance rather than the
traditional time period when developing individualized machine learning models for fuel …

[HTML][HTML] The development and validation of a vehicle simulator for the introduction of Worldwide Harmonized test protocol in the European light duty vehicle CO2 …

G Fontaras, V Valverde, V Arcidiacono, S Tsiakmakis… - Applied energy, 2018 - Elsevier
As of July 2017, the emissions type-approval of light-duty vehicles in Europe is based on the
Worldwide Harmonized Light-duty vehicles Test Procedure (WLTP), introduced to replace …

Modeling and controls development of 48 V mild hybrid electric vehicles

SD Lee, J Cherry, M Safoutin, A Neam, J McDonald… - 2018 - sae.org
Abstract The Advanced Light-Duty Powertrain and Hybrid Analysis tool (ALPHA) was
created by EPA to evaluate the Greenhouse Gas (GHG) emissions of Light-Duty (LD) …

Development of advanced light-duty powertrain and hybrid analysis tool

B Lee, SD Lee, J Cherry, A Neam, J Sanchez, E Nam - 2013 - sae.org
The Advanced Light-Duty Powertrain and Hybrid Analysis tool was created by
Environmental Protection Agency to evaluate the greenhouse gas emissions and fuel …

A novel method for real driving emission prediction utilizing an artificial neural network

A Baghani, I Chitsaz, MM Teymoori - Engineering Applications of Artificial …, 2024 - Elsevier
The present study introduces a novel method based on the experimental emission data of
standard Real driving emission measurement is a challenging issue for future emission …

A deep learning method for monitoring vehicle energy consumption with gps data

K Ko, T Lee, S Jeong - Sustainability, 2021 - mdpi.com
A monitoring method for energy consumption of vehicles is proposed in the study. It is
necessary to have parameters estimating fuel economy with GPS data obtained while …

Development of greenhouse gas emissions model (GEM) for heavy-and medium-duty vehicle compliance

KA Newman, P Dekraker, H Zhang, J Sanchez… - … International Journal of …, 2015 - sae.org
In designing a regulatory vehicle simulation program for determining greenhouse gas (GHG)
emissions and fuel consumption, it is necessary to estimate the performance of …

Hil development and validation of lithium-ion battery packs

SD Lee, J Cherry, B Lee, J McDonald, M Safoutin - 2014 - sae.org
A Battery Test Facility (BTF) has been constructed at United States Environmental Protection
Agency (EPA) to test various automotive battery packs for HEV, PHEV, and EV vehicles …

Analysis of vehicle fuel efficiency and survival patterns for the prediction of total energy consumption from ground transportation in Korea

H Lee, H Choi - International Journal of Automotive Technology, 2016 - Springer
In this study, correlation between vehicle fuel efficiency and total fuel energy consumption is
analyzed to support the energy consumption and greenhouse gas (GHG) emissions …