Estimating energy consumption of hybrid electric vehicle and gazoline classical vehicle

Boubaker, Samia; Rehimi, Ferid; Kalboussi, Adel

doi:10.1109/icadlt.2013.6568463

Cited by 5 publications

(4 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…On the other hand, Boubaker et al introduced an HEV energy model that employs a simplified module with two motors/generators (MGs) and planetary gear train (PGT) that estimates fuel consumption based on the engine speed (or RPM) and the output torque of the engine. However, the model also requires MATLAB/Simulink software to estimate model variables due to the complexity and was not validated against real-world data [18].…”

Section: Literature Reviewmentioning

confidence: 99%

“…It is difficult to estimate HEV fuel consumption due to the complexity of the various ICE engine and electrical components. The powertrain of an HEV includes an internal combustion engine (ICE), two electric motors/generators (MG1 and MG2), a PGT, and a battery [18]. Figures 5 and 6 illustrate the variations in the vehicle fuel consumption for the UDDS cycle and the steady-state speed cycle.…”

Section: Hev Energy Consumption Modelingmentioning

confidence: 99%

See 1 more Smart Citation

A Simple Hybrid Electric Vehicle Fuel Consumption Model for Transportation Applications

Ahn¹,

Rakha²

2020

Applied Electromechanical Devices and Machines for Electric Mobility Solutions

View full text Add to dashboard Cite

This study presents a simple power-based microscopic hybrid electric vehicle (HEV) fuel consumption model for use in microscopic traffic software and various connected and automated vehicle (CAV) applications, including eco-routing and eco-drive systems. While numerous HEV energy consumption models have been developed, these models are complex and require vehicle engine data deeming them difficult to implement and making them nontransferable. The proposed model was developed using empirical data for a 2010 Toyota Prius-the most popular HEV. The model was then extended to other HEVs thus extending the domain of application of the model. The proposed fuel consumption model estimates the instantaneous fuel consumption rates of an HEV using instantaneous vehicle operational input variables, including the vehicle's speed, acceleration, and roadway grade, which can be acquired from global positioning system (GPS) equipment or other sensors. The model estimates vehicle fuel consumption rates consistent with empirical data producing an average error of 2.1% for the Toyota Prius and up to 4% for other HEVs demonstrating the applicability and transferability of the model to various HEVs.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Section: Hev Energy Consumption Modelingmentioning

confidence: 99%

A Simple Hybrid Electric Vehicle Fuel Consumption Model for Transportation Applications

Ahn¹,

Rakha²

2020

Applied Electromechanical Devices and Machines for Electric Mobility Solutions

View full text Add to dashboard Cite

show abstract

“…This information was then used to generate a driving cycle represented in the form a velocity over time profile [23]. Once again, the varying parameters have been implemented in the vehicle simulation; however, the definition of drive cycles has not been altered.…”

Section: Currently Existing Drive Cycle Modelsmentioning

confidence: 99%

“…Another concept was developed in [23] which included a linear car following model and a lane changing model in order to represent a unique driver-vehicle pair. This information was then used to generate a driving cycle represented in the form a velocity over time profile [23].…”

Section: Currently Existing Drive Cycle Modelsmentioning

confidence: 99%

Journey Mapping—A New Approach for Defining Automotive Drive Cycles

Divakarla

Emadi

Razavi

2016

IEEE Trans. on Ind. Applicat.

View full text Add to dashboard Cite

Driving has become a very common activity for most of the people around the world today. People are becoming more and more dependent on vehicles, contributing to the growth of automotive industry. New vehicles are released regularly into the market in order to meet the high demand. With the increase in demand, the importance of vehicle testing has also increased by many folds.Besides testing new vehicles for their performance prediction, existing vehicles also need to be tested in order to check their compliance to safety standards.Drive Cycles that have been traditionally defined as velocity over time profiles are used as vehicle testing beds. The need for re-defining drive cycles is demonstrated through the high deviations between the predicted and the actual performance values. As such, a new approach for defining automotive drive cycles, Journey Mapping, is proposed. Journey Mapping defines a drive cycle more realistically as the journey of a particular vehicle from an origin to the destination, which during its journey is influenced by various conditions such as weather, terrain, traffic, driver behavior, road , vehicle and aerodynamic.This concept of Journey Mapping has been implemented using AMESim for a Ford Focus Electric 2012. Journey Mapping was seen to predict its energy consumption with about 5% error; whereas, the error was about 13% when it was tested against the US06 cycle, which provided the most accurate results out of the various traditional drive cycles used for testing for the selected scope. Notation and Abbreviations CANController Area Network DEMDigital Elevation Model ECE Economic Commission for Europe EPA Environmental Protection Agency EUDC Extra Urban Driving Cycle EUDCL Extra Urban Driving Cycle for Low-powered Vehicles EV Electric vehicle FUDS Federal Urban Drive Cycle FTP Federal Test Procedure GIS Geographic Information System GPS Global Positioning System HEV Hybrid Electric Vehicle HFEDS Highway Fuel Economy Driving Schedule HWFET Highway Fuel Economy Test HYZEM Hybrid Technology Approaching Efficient Zero Emission Mobility ICE Internal Combustion Engine vii IM Inspection and Maintenance Lb-ftPound-foot LFP Lithium Iron Phosphate MARC McMaster Automotive Resource Center MPG Miles per Gallon MPGe Miles per Gallon Equivalent NEDC New European Driving Cycle NYCC New York City Cycle PHEV Plug-in Hybrid Electric Vehicle PID Proportional Integral Derivative RAV Recreational Activity Vehicle RPM Revolutions per Minute UDDS

show abstract

Battery characterization and state-of-charge prediction for different journey conditions with the help of the "journey mapping" concept

Divakarla

Nalakath

Drennan

et al. 2015

IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society

View full text Add to dashboard Cite

Estimating energy consumption of hybrid electric vehicle and gazoline classical vehicle

Cited by 5 publications

References 12 publications

A Simple Hybrid Electric Vehicle Fuel Consumption Model for Transportation Applications

A Simple Hybrid Electric Vehicle Fuel Consumption Model for Transportation Applications

Journey Mapping—A New Approach for Defining Automotive Drive Cycles

Battery characterization and state-of-charge prediction for different journey conditions with the help of the "journey mapping" concept

Contact Info

Product

Resources

About