Fuel economy benefit of Active Grille Shutters for real world, WLTP and RDE cycles

2021 ◽  
Author(s):  
Salvio Chacko ◽  
Dimitri Kalifronas ◽  
Jesus Simon ◽  
Carlos Alonso ◽  
Antonio Solimene
Keyword(s):  
Fuel Economy ◽  
Real World ◽  
Economy Benefit

scholarly journals Fuel economy benefit analysis of pass-at-green (PaG) V2I application on urban routes with STOP signs

2020 ◽  
Vol 83 (2/3/4) ◽  
pp. 258
Author(s):  
Levent Guvenc ◽  
Bilin Aksun Guvenc ◽  
Ozgenur Kavas Torris ◽  
Mustafa Ridvan Cantas ◽  
Sukru Yaren Gelbal
Keyword(s):  
Fuel Economy ◽  
Benefit Analysis ◽  
Economy Benefit

Benchmarking Fuel Economy of Connected and Automated Vehicles in Real World Driving Conditions via Monte Carlo Simulation

2020 ◽  
Author(s):  
Shreshta Rajakumar Deshpande ◽  
Shobhit Gupta ◽  
Dennis Kibalama ◽  
Nicola Pivaro ◽  
Marcello Canova
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Fuel Economy ◽  
Real World ◽  
Human Subjects ◽  
Driver Model ◽  
Traffic Information ◽  
Vehicle Speed ◽  
Instrumented Vehicle ◽  
The Impact

Abstract Connectivity and automation have accelerated the development of algorithms that use route and real-time traffic information for improving energy efficiency. The evaluation of such benefits, however, requires establishing a reliable baseline that is representative of a real-world driving environment. In this context, virtual driver models are generally adopted to predict the vehicle speed based on route data and presence of lead vehicles, in a way that mimics the response of human drivers. This paper proposes an Enhanced Driver Model (EDM) that forecasts the human response when driving in urban conditions, considering the effects of Signal Phasing and Timing (SPaT) by introducing the concept of Line-of-Sight (LoS). The model was validated against data collected on an instrumented vehicle driven on public roads by different human subjects. Using this model, a Monte Carlo simulation is conducted to determine the statistical distribution of fuel consumption and travel time on a given route, varying driver behavior (aggressiveness), traffic conditions and SPaT. This allows one to quantify the impact of uncertainties associated to real-world driving in fuel economy estimates.

A framework for development of real-world motorcycle driving cycle in India

2020 ◽  
pp. 095440702097753
Author(s):  
Masilamani Sithananthan ◽  
Ravindra Kumar
Keyword(s):  
Fuel Economy ◽  
Real World ◽  
State Of The Art ◽  
Emission Factors ◽  
Driving Cycle ◽  
Driving Cycles ◽  
Traffic Scenario

This paper proposed a framework for development of real-world driving cycle in India after a thorough review and comparison of motorcycle driving cycles used in different countries. A limited state-of-the art work for the development of driving cycles for motorcycles is available. The motorcycle driving cycles developed by different countries differ from each other in terms of their driving cycle characteristics, emission factors, and fuel economy. This paper reviewed the parameters of real-world driving cycles of motorcycles and compares the same with legislative cycles concerning their characteristics and emissions. The parameters of real-world driving cycles and Indian legislative cycle (IDC) deviate significantly from other legislative cycles in the range of −97% to +1172% and −74% to 284% respectively. The emission factors of the legislative cycle do not match with the realistic emissions measured by real-world driving cycles. This is due to the reason that the legislative cycles do not represent the current traffic scenario and hence need to be revised. A framework is proposed to develop a real-world driving cycle in India.

scholarly journals An Enhanced Driver Model for Evaluating Fuel Economy on Real-World Routes

2019 ◽  
Vol 52 (5) ◽  
pp. 574-579 ◽  
Author(s):  
Shobhit Gupta ◽  
Shreshta R. Deshpande ◽  
Punit Tulpule ◽  
Marcello Canova ◽  
Giorgio Rizzoni
Keyword(s):  
Fuel Economy ◽  
Real World ◽  
Driver Model

scholarly journals On-Road Validation of a Simplified Model for Estimating Real-World Fuel Economy

2017 ◽  
Vol 10 (2) ◽  
pp. 528-536 ◽  
Author(s):  
Eric Wood ◽  
Jeffrey Gonder ◽  
Forrest Jehlik
Keyword(s):  
Fuel Economy ◽  
Real World ◽  
Simplified Model

Development of a driver model to study the effects of real-world driver behaviour on the fuel consumption

2011 ◽  
Vol 225 (11) ◽  
pp. 1518-1530 ◽  
Author(s):  
A McGordon ◽  
J E W Poxon ◽  
C Cheng ◽  
R P Jones ◽  
P A Jennings
Keyword(s):  
Fuel Economy ◽  
Real World ◽  
High Speed ◽  
Driver Model ◽  
Good Representation ◽  
Vehicle Speed ◽  
Data Logging ◽  
Real World Data ◽  
Driver Behaviour ◽  
The Individual

The real-world fuel economy of vehicles is becoming increasingly important to manufacturers and customers. One of the major influences in this is driver behaviour, but it is difficult to study in a controlled and repeatable manner. An assessment of driver models for studying real-world driver behaviour has been carried out. It has been found that none of the currently existing driver models has sufficient fidelity for studying the effects of real-world driver behaviour on the fuel economy of the individual vehicle. A decision-making process has been proposed which allows a driver model with a range of driving tasks to be developed. This paper reports the initial results of a driver model as applied to the conceptually straightforward scenario of high-speed cruising. Data for the driver model have been obtained through real-world data logging. It has been shown that the simulation driver model can provide a good representation of real-world driving behaviour in terms of the vehicle speed, and this is compared with a number of logged driver speed traces. A comparison of the modelled fuel economy for logged and driver model real-world drivers shows good agreement.

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