Using Global Positioning System Travel Data to Assess Real-World Energy Use of Plug-In Hybrid Electric Vehicles

2007 ◽  
Vol 2017 (1) ◽  
pp. 26-32 ◽  
Author(s):  
Jeffrey Gonder ◽  
Tony Markel ◽  
Matthew Thornton ◽  
Andrew Simpson
Keyword(s):  
Electric Vehicles ◽  
Global Positioning System ◽  
Real World ◽  
Energy Use ◽  
Hybrid Electric Vehicles ◽  
Positioning System ◽  
World Energy ◽  
Global Positioning ◽  
Hybrid Electric

Developments in Light Vehicle Life Cycle Analysis With Application to Electric Vehicles

2011 ◽  
Author(s):  
Peter S. Curtiss ◽  
Jan F. Kreider
Keyword(s):  
Life Cycle ◽  
Data Base ◽  
Electric Vehicles ◽  
Energy Use ◽  
Hybrid Electric Vehicles ◽  
Combustion Engine ◽  
Web Based ◽  
Mercury Emissions ◽  
Hybrid Electric ◽  
Total Life

An LCA tool first reported on at the ASME ES conference in 2007 has been expanded and improved as follows: • More than 400 production vehicles from all over the world are now in the data base. • Conventional and renewable liquid and gas fuels are included. • Electric vehicles (EVs) and plug in hybrid electric vehicles (PHEVs) are included along with hybrid electric vehicles (HEVs) and conventional internal combustion engine vehicles. • The tool is now web-based. The LCA tool includes both fuel and vehicle life cycle coefficients in its data base. To illustrate the LCA ranking of vehicles using electricity (EVs, PHEVs, and HEVs) vs. conventional vehicles this paper will report on greenhouse gas emissions, total life cycle energy use along with NOx, SOx and mercury emissions. It will be shown, for example, that EVs are not the cleanest solution contrary to claims of various commentators in the popular press and of EV enthusiasts who do not take the entire life cycle into account.

Evaluating the Ability of Global Positioning System Receivers to Measure a Real-World Operating Mode for Emissions Research

2005 ◽  
Vol 1941 (1) ◽  
pp. 43-50 ◽  
Author(s):  
Eric Jackson ◽  
Lisa Aultman-Hall ◽  
Britt A. Holmén ◽  
Jianhe Du
Keyword(s):  
Global Positioning System ◽  
Real World ◽  
Vehicle Emissions ◽  
Transportation Network ◽  
Operating Mode ◽  
Positioning System ◽  
Gps Receivers ◽  
The Real ◽  
Acceleration Data ◽  
Global Positioning

This paper evaluates the ability of Global Positioning System (GPS) receivers to determine accurately the second-by-second operating mode of a vehicle in the real-world transportation network. GPS offers the ability to obtain second-by-second velocity directly and to obtain acceleration data indirectly from a vehicle traveling in the real-world traffic network. Although GPS has been used successfully in travel behavior and route choice surveys, the uncertainty in accuracy of velocity and acceleration data obtained from the GPS warrants further investigation to gain a better understanding of the range and spatial distribution of vehicle emissions. In this study, data from two GPS receivers and a ScanTool were collected over five repetitions of a 65-mi route. The results indicate that GPS receivers perform as well as the ScanTool when measuring velocity. Furthermore, the GPS receivers determined the 1-s operating mode of the vehicle successfully when measured against the ScanTool. These results will aid in the future development of vehicle emissions models and allow for an analysis of real-world emissions based on real-world operating mode data.

scholarly journals Comparisons of Real-World Vehicle Energy Efficiency with Dynamometer-Based Ratings and Simulation Models

2021 ◽  
Vol 12 (4) ◽  
pp. 161
Author(s):  
Karim Hamza ◽  
Kang-Ching Chu ◽  
Matthew Favetti ◽  
Peter Keene Benoliel ◽  
Vaishnavi Karanam ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Electric Vehicles ◽  
Fuel Economy ◽  
Real World ◽  
Hybrid Electric Vehicle ◽  
Energy Intensity ◽  
Hybrid Electric Vehicles ◽  
Combustion Engine ◽  
Simulation Models ◽  
Hybrid Electric

Software tools for fuel economy simulations play an important role during design stages of advanced powertrains. However, calibration of vehicle models versus real-world driving data faces challenges owing to inherent variations in vehicle energy efficiency across different driving conditions and different vehicle owners. This work utilizes datasets of vehicles equipped with OBD/GPS loggers to validate and calibrate FASTSim (software originally developed by NREL) vehicle models. The results show that window-sticker ratings (derived from dynamometer tests) can be reasonably accurate when averaged across many trips by different vehicle owners, but successfully calibrated FASTSim models can have better fidelity. The results in this paper are shown for nine vehicle models, including the following: three battery-electric vehicles (BEVs), four plug-in hybrid electric vehicles (PHEVs), one hybrid electric vehicle (HEV), and one conventional internal combustion engine (CICE) vehicle. The calibrated vehicle models are able to successfully predict the average trip energy intensity within ±3% for an aggregate of trips across multiple vehicle owners, as opposed to within ±10% via window-sticker ratings or baseline FASTSim.

scholarly journals Methodology for Finding Maximum Performance and Improvement Possibility of Rule-Based Control for Parallel Type-2 Hybrid Electric Vehicles

Energies ◽  
2019 ◽  
Vol 12 (10) ◽  
pp. 1924 ◽  
Author(s):  
Haeseong Jeoung ◽  
Kiwook Lee ◽  
Namwook Kim
Keyword(s):  
Optimal Control ◽  
Electric Vehicles ◽  
Real World ◽  
Hybrid Electric Vehicles ◽  
Minimum Principle ◽  
Rule Based ◽  
Real World Applications ◽  
Hybrid Electric ◽  
Parallel Type

Hybrid electric vehicles (HEVs) require supervisory controllers to distribute the propulsion power from sources like an engine and motors. Control concepts based on optimal control theories such as dynamic programming (DP) and Pontryagin’s minimum principle (PMP) have been studied to maximize fuel efficiencies. These concepts are, however, not practical for real-world applications because they guarantee optimality only if future driving information is given prior to the actual driving. Instead, heuristic rule-based control concepts are widely used in real-world applications. Those concepts are not only simple enough to be designed based on existing vehicle control concepts, but also allow developers to easily intervene in the control to enhance other vital aspects of real-world vehicle performances, such as safety and drivability. In this study, a rule-based control for parallel type-2 HEVs is developed based on representative control concepts of real-world HEVs, and optimal control parameters are determined by optimization processes. The performance of the optimized rule-based control is evaluated by comparing it with the optimal results obtained by PMP, and it shows that the rule-based concepts can achieve high fuel efficiencies, which are close, typically within 4%, to the maximum values obtained by PMP.

Well-To-Wheels Energy Use and Greenhouse Gas Emissions of Plug-in Hybrid Electric Vehicles

2009 ◽  
Vol 2 (1) ◽  
pp. 627-644 ◽  
Author(s):  
Amgad Elgowainy ◽  
Andrew Burnham ◽  
Michael Wang ◽  
John Molburg ◽  
Aymeric Rousseau
Keyword(s):  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Electric Vehicles ◽  
Energy Use ◽  
Hybrid Electric Vehicles ◽  
Gas Emissions ◽  
Hybrid Electric ◽  
Well To Wheels
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