Instrumentation for Precise Measurement of Motor Vehicle Fuel Consumption

1970 ◽  
Author(s):  
Joseph C. Michalowicz
Keyword(s):  
Fuel Consumption ◽  
Precise Measurement ◽  
Motor Vehicle

scholarly journals Development of the "Technical Service" Program for Enterprises Working with the GLONASS System and Containing a Large Vehicle Fleet

2021 ◽  
pp. 93-98
Author(s):  
Р.Д. Адакин ◽  
И.М. Соцкая
Keyword(s):  
Fuel Consumption ◽  
Motor Vehicle ◽  
Technical Service ◽  
Short History ◽  
Service Program ◽  
The Road ◽  
Technical Personnel ◽  
History Of ◽  
Vehicle Fleet ◽  
On The Road

Представлена разработанная программа «Технический сервис», обменивающаяся информацией с базой данных систем ГЛОНАСС/GPS. Данная программа работает по сети и позволяет оповещать технический персонал, занимающийся обслуживанием, ремонтом и выпуском на линию или в рейс автотранспорта, напоминая ему о времени наступления прохождения технического обслуживания (ТО) для каждой единицы техники предприятия. При этом идёт информирование о количестве заменяемых жидкостей, марок и кодов фильтров, с краткой историей о неисправностях и ДТП техники, а также дублированием всей информации с системы ГЛОНАСС: расход топлива, пробег, скорость, марки и госномера техники. Разработанная программа имеет следующие возможности: хранит список техники с государственными номерами, постоянно обновляя данные о пробегах автотранспорта; хранит для каждой единицы техники необходимую информацию для проведения ТО автотранспорта, краткую историю о крупных неисправностях, проведённых капитальных ремонтах и ДТП автотранспорта. Данную информацию можно распечатать или сохранить на компьютер. Вовремя проведённое ТО является основой и залогом безотказной работы автотранспорта, что сказывается на успешном ведении бизнеса. The developed program "Technical Service" is presented, exchanging information with the database of GLONASS/GPS systems. This program works on the network and allows you to notify technical personnel engaged in service, repair and release on the road or on a motor vehicle trip, reminding them of the time of receipt of maintenance operation (MOT) for each unit of the enterprise equipment. At the same time, there is information about the number of liquids, grades and filter codes to be replaced with a short history of equipment malfunctions and accidents of vehicles, as well as duplication of all information from the GLONASS system: fuel consumption, mileage, speed, brands and license plates of vehicles. The developed program has the following capabilities: stores a list of vehicles with license plates, constantly updating data on vehicle mileage, and stores for each unit of equipment the necessary information for maintenance operation of vehicles, a short history of major malfunctions, major repairs and accidents of vehicles. This information can be printed or saved to a computer. Timely maintenance operation is the basis and key to the failure-free operation of vehicles, which affects the successful conduct of business.

Development of a Simplified Model of Speed-Specific Vehicle-Specific Power Distribution Based on Vehicle Weight for Fuel Consumption Estimates

2020 ◽  
Vol 2674 (12) ◽  
pp. 52-67
Author(s):  
Zeyu Zhang ◽  
Guohua Song ◽  
Jiaoyang Chen ◽  
Zhiqiang Zhai ◽  
Lei Yu
Keyword(s):  
Fuel Consumption ◽  
Power Distribution ◽  
Motor Vehicle ◽  
Gaussian Function ◽  
Simplified Model ◽  
Specific Power ◽  
Average Error ◽  
Trajectory Data ◽  
Vehicle Weight ◽  
The Relationship

The vehicle-specific power (VSP) distribution, as one of the fundamental inputs of VSP-based emission models such as the motor vehicle emission simulator model, is sensitive to vehicle weight. Developing field VSP distributions requires extensive vehicle type-specific trajectory data, which is expensive and time-consuming. On the other hand, estimating fuel consumption accurately by employing VSP distributions for various vehicle types is computationally highly complex. This study aims to develop a simplified model of speed-specific VSP distribution based on vehicle weight for fuel consumption. First, field speed-specific VSP distributions of eight types of vehicles are developed. Second, the Gaussian function is employed to fit the field speed-specific VSP distributions to “change” the discrete VSP distributions into continuous distributions to facilitate quantifying the relationship between VSP distributions and vehicle weights. Third, the relationship between VSP distributions and vehicle weights is quantified by employing polynomial functions. The results indicate the acceptable accuracy of the simplified model, with 93.8% of R2 of the Gaussian function being greater than 0.90. The error in estimating fuel consumption using the simplified model is acceptable. For vehicles weighing 1.5 t (1.5 metric tons), the average error is 6.3%. Besides the “hole filling” of VSP distributions of inaccessible vehicles, the simplified model will reduce the computational complexity of estimating fuel consumption by about 50%, which is beneficial for the realization of real-time online estimates of fuel consumption.

Research on Vehicle Fuel Consumption Measuring System Based on Radio Frequency Communication Technology

2011 ◽  
Vol 135-136 ◽  
pp. 852-855
Author(s):  
Yin Ping Jiang ◽  
Shan Liu ◽  
Yun Hua Yang
Keyword(s):  
Radio Frequency ◽  
Fuel Consumption ◽  
Communication Technology ◽  
Production Efficiency ◽  
Precise Measurement ◽  
Low Cost ◽  
Working Hours ◽  
High Accuracy ◽  
Measuring System ◽  
Reliable Measurement

At present, the energy crisis is increasingly serious. Energy-saving becomes a practical issues faced by all fields in the life. Considering this, the paper presents a new vehicle consumption measuring system based on intelligent handling and humane design under the promise of accurate measurement as well as low cost. In addition, the use of radio frequency communication technology makes precise measurement of instant and accumulative fuel consumption come true in any working hours. Field experiment results show that the vehicle fuel consumption measuring system has character of facilitate operation, low cost, advanced and reliable measurement method and high accuracy (within 1.5%). It can improve greatly the production efficiency of the internal combustion machine and avoid effectively the waste phenomenon, and be prone to make further application widely.

Energy Consumption and Emissions Modeling of Individual Vehicles

2017 ◽  
Vol 2627 (1) ◽  
pp. 93-102 ◽  
Author(s):  
Randall Guensler ◽  
Haobing Liu ◽  
Yanzhi (Ann) Xu ◽  
Alper Akanser ◽  
Daejin Kim ◽  
...  
Keyword(s):  
Fuel Consumption ◽  
High Performance ◽  
Vehicle Emissions ◽  
Motor Vehicle ◽  
Operating Conditions ◽  
Modeling Framework ◽  
Activity Data ◽  
Emissions Modeling ◽  
Vehicle Activity ◽  
Fuel Consumption And Emissions

This study demonstrated an approach to modeling individual vehicle second-by-second fuel consumption and emissions on the basis of vehicle operations. The approach used the Motor Vehicle Emission Simulator (MOVES)–Matrix, a high-performance vehicle emissions modeling system consisting of a multidimensional array of vehicle emissions rates (pulled directly from EPA’s MOVES emissions model) that could be quickly queried by other models to generate an applicable emissions rate for any specified on-road fleet and operating conditions. For this project, the research team developed a spreadsheet-based MOVES-Matrix calculator to simplify connecting vehicle activity data with multidimensional emissions rates from MOVES-Matrix. This paper provides a walk-through of the calculation procedures, from basic vehicle information and driving cycles to second-by-second emissions rates. The individual vehicle emissions modeling framework was incorporated into Commute Warrior, a trademarked travel survey application for Android smartphones, to provide real-time fuel consumption and emissions rate estimates from concurrently obtained GPS-based speed data.

scholarly journals RESEARCH OF THE AIR TEMPERATURE INFLUENCE ON FUEL CONSUMPTION OF A PASSENGER CAR CONVERTED TO OPERATE ON LIQUEFIED PETROLEUM GAS

2021 ◽  
pp. 60-67
Author(s):  
Roman O. Rekhalov ◽  
◽  
Evgeniy M. Chikishev ◽  
Keyword(s):  
Fuel Consumption ◽  
Alternative Fuels ◽  
Motor Vehicle ◽  
Motor Vehicles ◽  
Liquefied Petroleum Gas ◽  
Passenger Car ◽  
Factors Affecting ◽  
Mobile Sources ◽  
Air Temperatures ◽  
Gas Consumption

Due to the rapid growth of environmental pollution from mobile sources, the part of alternative fuels use is increasing. One of these for motor vehicle is liquefied petroleum gas (LPG). This study focuses on the LPG use by Mitsubishi Lancer X passenger car in driving conditions. Based on the results of the previous studies analysis, the most significant factors affecting the change in fuel consumption by motor vehicles were identified. It was proved that the decrease in the ambient temperature from +30 to –20 °C leads to an increase in gas consumption from 11.2 to 13.6 l/100 km. In addition, at air temperatures from –20 °C and below, the gas-fueled engine is unstable.

Convex Fuel Consumption Model for Diesel and Hybrid Buses

2017 ◽  
Vol 2647 (1) ◽  
pp. 50-60 ◽  
Author(s):  
Jinghui Wang ◽  
Hesham A. Rakha
Keyword(s):  
Fuel Consumption ◽  
Motor Vehicle ◽  
Model Performance ◽  
Field Measurements ◽  
Convex Model ◽  
Motor Vehicle Emissions ◽  
Vehicle Load ◽  
Wide Range ◽  
Consumption Model ◽  
Full Throttle

The concave fuel consumption model may generate unrealistic driving recommendations in a control system; for instance, the model may recommend higher cruise speed to achieve lower fuel consumption levels on steeper roads. To improve the model performance with regard to driving control, the study developed a convex second-order polynomial fuel consumption model for conventional diesel and hybrid-electric buses. The model simultaneously circumvents the bang-bang type of control that implies that drivers would have to accelerate at full throttle or brake at full braking to minimize their fuel consumption levels. Six bus series (four diesel series and two hybrid series), covering a wide range of bus properties, were modeled. The model was developed on the basis of the Virginia Tech comprehensive power fuel-based model (VT-CPFM) framework and, given a lack of readily available data, calibrated by conducting empirical measurements. The model was validated by comparing its estimates against in-field measurements and predictions from the comprehensive modal emissions model, the Motor Vehicle Emissions Simulator model, and the concave VT-CPFM model. The results demonstrate that the convex model generates estimates consistent with field measurements and the predictions of the other models and can provide realistic driving recommendations without significantly sacrificing accuracy relative to the concave model. Optimum fuel economy cruise speed ranges from 39 to 47 km/h for all tested buses on grades ranging from 0% to 8% and decreases with the increase of grade and vehicle load.

Modeling Urban Bus Fuel Consumption in Shanghai, China, Based on Localized MOVES

2018 ◽  
Vol 2672 (25) ◽  
pp. 150-162 ◽  
Author(s):  
Wenjian Jia ◽  
Xiaohong Chen ◽  
Xiaonian Shan
Keyword(s):  
Energy Consumption ◽  
Fuel Consumption ◽  
Motor Vehicle ◽  
Operating Mode ◽  
Environment Protection ◽  
Extended Application ◽  
Energy Consumption Model ◽  
Urban Bus ◽  
Consumption Model ◽  
Type Classification

In China, urban bus energy consumption is an increasing concern due to system expansion and poor energy efficiency due to frequent stopping and starting by buses. This study develops a mesoscopic bus energy consumption model based on the U.S. Environment Protection Agency’s Motor Vehicle Emission Simulator (MOVES). To localize MOVES, link operating mode distribution is calculated by bus GPS data collected from nine routes in Shanghai, China. A comparison of bus fuel economy between the U.S.A. and China is conducted to determine the model years in U.S.A. and China which have similar fuel consumption performance for buses with a certain weight. After MOVES localization, link energy consumption factors are estimated, and then the impacts of average speed, vehicle stops, acceleration, and road facility on link energy consumption factors are explored. Based on this exploration of influential variables, this study develops link-level bus energy consumption factor look-up tables for a variety of bus types. Model validation indicates that using link-level indicators to estimate bus energy consumption can achieve acceptable accuracy, and that the link type classification method can influence the accuracy of the mesoscopic bus energy consumption model. This study is useful to estimate bus energy consumption when instantaneous speed data is unavailable. This study also explores the extended application of MOVES by offering a procedure for applying MOVES to develop a bus energy consumption model in regions beyond the U.S.A.

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