scholarly journals Fuel Consumption Test Method for 4WD HEVs – On a Necessity of Double Axis Chassis Dynamometer Test –

2008 ◽  
Vol 2 (4) ◽  
pp. 253-263 ◽  
Author(s):  
Ken-Ichi Shimizu ◽  
Mitsuya Nihei ◽  
Takanori Okamoto
2017 ◽  
Vol 171 (4) ◽  
pp. 11-16
Author(s):  
Wiesław PIEKARSKI ◽  
Andrzej KURANC

The article presents calculations of exhaust emissions and fuel consumption under test conditions on a chassis dynamometer test bench. The study describes the realization of the tests and the methodology of the calculation of the exhaust gas flow and the estimation of the fuel consumption based on exhaust emissions. The presented research results and their analysis describe the emission scale of selected gaseous fumes components during full engine load and the fuel consumption associated with such tests. Similar emissions occur during a rapid acceleration of a vehicle in road conditions.


Author(s):  
Peter Vasquez ◽  
Edwin Quiros ◽  
Gerald Jo Denoga ◽  
Robert Michael Corpus ◽  
Robert James Lomotan

Abstract Efforts to mitigate climate change include lowering of greenhouse gas emissions by reducing fuel consumption in the transport sector. Various vehicle technologies and interventions for better fuel economy eventually require chassis dynamometer testing using drive cycles for validation. As such, the methodology to generate these drive cycles from on-road data should produce drive cycles that closely represent actual on-road driving from the fuel economy standpoint. This study presents a comparison of the fuel economy measured from a drive cycle developed using road load energy as a major assessment criterion and the actual on-road fuel economy of a 2013 Isuzu Crosswind utility vehicle used in the UV Express transport fleet in Metro Manila, Philippines. In this approach to drive cycle construction from on-road data, the ratio of the total road load energy of the generated drive cycle to that of the on-road trip is made the same ratio as their respective durations. On-road velocity and fuel consumption were recorded as the test vehicle traversed the 42.5 km. Sucat to Lawton route and vice versa in Metro Manila. Gathered data were processed to generate drive cycles using the modified Markov Chain approach. Three drive cycles of decreasing duration, based on the practicality of testing on a chassis dynamometer, were generated using three arbitrary data compression ratios. These drive cycles were tested using the same vehicle on the chassis dynamometer and compared with the on-road data using road load energy, fuel economy, average speed, and maximum acceleration. For the 893-seconds drive cycle generated, the road load energy error was 3.93% and fuel economy difference of 1.14%. For the 774-seconds cycle generated, the road load energy error was 4.34% and fuel economy difference was 0.91%. For the 664-seconds drive cycle, the road load energy error was 3.68% and fuel economy difference was 0.91%. On-road fuel economy for the 42.5-km. route averaged over nine round trips was 8.785 km/L. Based on the results, the road load energy criterion approach of drive cycle construction methodology can generate drive cycles which can very closely estimate on-road fuel economy.


1993 ◽  
Author(s):  
Kenyu Akiyama ◽  
Fumio Ueda ◽  
Johji Miyake ◽  
Kazuyoshi Tasaka ◽  
Shinichi Sugiyama

Author(s):  
Oscar F. Delgado ◽  
Nigel N. Clark ◽  
Gregory J. Thompson

Portable emissions measurement systems (PEMS) are used to perform in-use measurements for emissions inventory and regulatory applications. PEMS data represent real world conditions more accurately than chassis dynamometer or engine dynamometer testing, arguably being the most realistic method of determining exhaust emissions over a certain driving route. However, measured emissions and fuel consumption depend strongly on both the route followed and the traffic situation that the vehicle encounters. A tool for translation of emissions and fuel consumption between diverse types of vehicle activity is required. The purpose of this paper is to assess the possibility of using route-averaged properties (kinematic parameters) for translation of fuel consumption and NOx emissions for a set of eighteen heavy-duty vehicles operating over up to eight different driving routes. A linear model developed for heavy-duty vehicle chassis dynamometer data modeling has been extended to in-use heavy-duty vehicle data. Two approaches were implemented; the first approach mimicked the prior chassis dynamometer work by incorporating average vehicle speed and average positive acceleration and the second approach incorporated road grade in a characteristic power parameter. The end result is a simple method which was shown to be accurate for estimation of fuel consumption (within 5% relative error) and NOx emissions (within 12% relative error) for over-the-road vehicles over “unseen” roads or traffic situations, without the need to perform additional over-the-road tests.


Author(s):  
C J Brace ◽  
R Burke ◽  
J Moffa

The aim of this paper is to identify and investigate the effect of small changes in test conditions when quantifying fuel consumption. Twelve test set-up variables were identified and intentionally perturbed from a standard condition, including the effect of removing the power-assisted steering pump. Initially a design-of-experiments (DoE) approach was adopted and the results showed that most of the tested parameters had significant effects on fuel consumption. Most of these effects were greater than the effect of typical technology changes assessed on chassis dynamometer facilities. For example, an increase of 8.7 per cent in fuel consumption was observed following a 90min battery discharge from vehicle headlamps. Similarly an increase of 5.5 per cent was observed when the rig was run 3km/h faster over a drive cycle, and 2.6 per cent when using tyres deflated by 0.5 bar. As a consequence, statistical tolerancing was used to suggest typical tolerances for test rig set-up variables. For example it was recommended that the tyre pressure be controlled to within 0.1 bar and the test rig speed to 0.3km/h. Further investigations were conducted into the effect of battery discharge, coast-down time, and engine cooling. These highlighted the need for rigorous battery charge management as the battery voltage was found not to be an appropriate measure of the variation in the alternator loading. Coast-down time was found to be a good control measure for a number of set-up variables affecting the rolling resistance of the vehicle. Finally the variations in the engine cooling were quantified using a cumulative engine temperature over a drive cycle. This was found to correlate well with fuel consumption. For each of these subsequent investigations, results were compared with the DoE predictions and found to agree well when considering the relatively low number of tests compared with the number of factors.


2014 ◽  
Vol 709 ◽  
pp. 272-275
Author(s):  
Zhong Pan Zhu ◽  
Ai Min Du ◽  
Zhi Xiong Ma ◽  
Wen Yang Zhang ◽  
Chang Guo Fan

Vehicle robot drivers are widely used in automotive tests especial for some tests on automotive chassis dynamometer. However, China has less technology accumulations than west developed countries in the field of research and development of robot driver. In order to promote the developments of the domestic robot driver technology, a vehicle robot driver based on servo motor control was developed for automobile chassis dynamometer test, its system composition, functional features, and key technologies in developing process were expounded specifically in this paper.


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