EP2239710A1 - Verfahren zur Treibstoffverbrauchsermittlung für Lkw - Google Patents

Verfahren zur Treibstoffverbrauchsermittlung für Lkw Download PDF

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Publication number
EP2239710A1
EP2239710A1 EP10003690A EP10003690A EP2239710A1 EP 2239710 A1 EP2239710 A1 EP 2239710A1 EP 10003690 A EP10003690 A EP 10003690A EP 10003690 A EP10003690 A EP 10003690A EP 2239710 A1 EP2239710 A1 EP 2239710A1
Authority
EP
European Patent Office
Prior art keywords
vehicle
fuel consumption
data
real data
vehicles
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
EP10003690A
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English (en)
French (fr)
Inventor
Oldrich Grill
Jiri Stehlik
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Lagarde Spedition spol sro
Original Assignee
Lagarde Spedition spol sro
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Lagarde Spedition spol sro filed Critical Lagarde Spedition spol sro
Publication of EP2239710A1 publication Critical patent/EP2239710A1/de
Ceased legal-status Critical Current

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    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00—Registering or indicating the working of vehicles
    • G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
    • G07C5/0841—Registering performance data
    • G07C5/085—Registering performance data using electronic data carriers

Definitions

  • the technical solution pertains to the area of registration or indication of the operation of vehicles or possibly to the area of numerical calculations or data processing.
  • an access is provided for some of the providers of service, or for all of them, to a selected part of the stored information or to transmission thereof with various parts of all information being received at chosen different repetition rate.
  • the providers present a feedback to users relating to the vehicle driving by a given user.
  • the mentioned feedback involves the information on how the driving should be changed in order to reduce the fuel consumption.
  • At least one of above mentioned service providers is a training centre of driving, an emergency phone centre, an alarm central, a vehicle manufacturer, a service workshop, an dependent-position-information provider, a leasing company, a lending office, and a road department or police..
  • the information from a vehicle involves the velocity, accelerator pedal position, time, brake pedal position, driver's identification, the height level, and the position of the transport vehicle.
  • the weight of freight on the transport vehicle is calculated repeatedly as the difference between the total weight of the transport vehicle and the weight of the vehicle alone (i.e. the readiness weight).
  • the total vehicle weight is deduced repeatedly from the information received from the transport vehicle.
  • the information, leading to the total vehicle weight calculation concerns the potential and kinetic energy of the transport vehicle, the energy change due to the velocity change of the vehicle and possibly from rolling energy loss and that due to the air resistance.
  • the driver of the given vehicle is informed repeatedly about the weight of the freight with the data being stored if need be.
  • the service provider has not precise information about the traffic, weather, temperature and other conditions in the place the vehicle occurs. Therefore in some cases, the directive attempt to change the way the vehicle is driven can be counterproductive.
  • the vehicle must be equipped additionally with several auxiliary sensors which measure the necessary values during the operation. This solution is complicated and expensive financially. The repeated weight determination is needless during the run and even complicated in the mentioned way.
  • the vehicles of the given vehicle fleet must be sorted into individual logical groups first of all.
  • the vehicle fleet is sorted according to the parameters which are e.g.: the brand name and the type of the lorry, the motor power of the lorry given by the manufacturer, steady gear ratio of the driven axels mechanism of the lorry, number of axels of the lorry and/or of the whole set consisting of one lorry at least and of one joined vehicle at least.
  • a lot of lorries is used in case of heavy freight haulage where e.g. one lorry is used as a traction vehicle and the second as a thrust one. In this case, a towed trailer or a semitrailer connecting are the joined vehicles.
  • certain vehicle groups originate.
  • the number of vehicles in a group results from combinations of these parameters where a group can consist of one or several vehicles.
  • reference drives are executed with individual vehicles of every group of the vehicle fleet in the course of the standard working operation.
  • the reference data are acquired which consist of the reference data I, originating from an on-board computer of the vehicle, and of the reference data II originating from the order system.
  • the acquired reference data I are namely: the fuel consumption and the average velocity.
  • the acquired reference data II are namely the weight of the transported goods and the number of axels.
  • satisfactory number of reference drives must be executed.
  • the reference data must be obtained in the course of reference drives at various average velocities and various weight of freight with different drive modes.
  • the obtained reference data are subject to the data analysis as the result of which the functional dependence of the fuel consumption on the reference data is determined.
  • the reference data analysis consists of the regress model construction which is common for all groups of vehicles. Then, for individual vehicle groups the regress model coefficients are calculated and approximated fuel consumption of the vehicle group is calculated by making use of the regress model and of corresponding coefficients. The obtained approximated consumption value forms the basis for the claimed consumption determination. Then, the real data are acquired repeatedly in the course of the periods stated by the operator. Usually, this period equals one calendar month, but can be arbitrary.
  • the real data equal qualitatively that one obtained in case of the reference data and differ quantitatively as a rule. Therefore, the real data consist of the combination of the real data I and the real data II.
  • the real data I originate from the on-board vehicle computer and express especially the fuel consumption and the average velocity in a given period.
  • the real data II originate from the order system and express especially the transported freight weight and the number of transports. The real data are acquired during every drive with standard work contents of every vehicle of the fleet.
  • the real data I After having been generated with the on-board vehicle computer, the real data I are stored in the recording and reading device through the communication interface. With the vehicle being in an area covered with the signal of a contractual mobile operator, the real data I, from the recording and reading device, are transmitted into the evaluating centre automatically and in the real time.
  • the real data I are not transmitted from the recording and reading centre into the evaluating centre automatically in real time because the transmission thereof by means of the non-contractual mobile operator's signal would be uneconomical.
  • a worker of the evaluating centre requires these real data I at the moment, he can demand sending of them by means of the non-contractual mobile operator's signal by means of wireless communication with the given vehicle.
  • the real data I stored in the recording an reading device but not transmitted into the evaluating centre on request, are sent in the evaluating centre automatically as soon as the vehicle enters the area covered with the contractual mobile operator's signal.
  • the given vehicle In case the given vehicle is parked, it generates zero values of the real data I. If a worker of the evaluating centre is in momentary need of the real data I, stored in the recording and reading device, he can request the real data I with direct questioning the vehicle. Then the real data I can be transferred into the evaluating centre with the mobile operator's signal which is just in reach with the contractual mobile operator's signal being preferred.
  • the real data II concerning the transported freight, are generated from the order system.
  • the order system is an integral one which records the orders of individual customers for transport, the transport document files as requested by the legislative in force and the market with interconnection to the final system output in the form of taxation documents and according to the accounting software.
  • the files of loading and unloading places and of accurate data about the weight of the transported goods are part of the order system.
  • the real data II are transmitted into the evaluating centre automatically and in real time by means of the computer network.
  • This computer network can be internal otherwise e.g. the Internet can be used to transmit the real data II as well.
  • the claimed consumption is calculated with using the prior found model for calculating the approximate fuel consumption and inserting the real data for every vehicle, said claimed consumption being confronted with the reached real consumption afterwards.
  • the driver presents higher real consumption which exceeds the claimed one, his real data are used as a basis for training of drivers.
  • the real data are analyzed for drivers' training and the driver is informed about aspects causing his disproportional consumption.
  • the vehicle need not be equipped with additional sensors because a part of necessary data is provided by means of a serial on-board computer and the resting part thereof is gained from external documents (loading and unloading vehicle weigh or covering documents of the freight).
  • the operator of the vehicle processes his data alone without sending them to any superior subject.
  • the risk of data change by the superior subject or of time delay or misusing thereof is cancelled.
  • the method to determine the fuel consumption in compliance with the invention can be applied in the area of the freight haulage especially and consists of several necessary subsequent steps.
  • the vehicles 1 of the operator's vehicle fleet are sorted in individual logical groups.
  • the vehicle fleet is sorted according to following parameters:
  • the vehicles 1 of the vehicle fleet are sorted in two groups.
  • the first one involves the drive sets with the total number of five axles, the road tractor VOLVO with the motor output of 324 kW and constant gear ratio of 2.79 of driven axels.
  • the second group consists of drive sets with six axles in total, the road tractor SCANIA with the motor output of 345 kW and constant gear ratio of 2.72 of driven axels.
  • all vehicles 1 of the vehicle fleet are used for drives with the standard working performance. Therefore, the vehicles 1 are used for transports of various freight kinds from the loading place to the unloading one, for drives without back-utilization and/or with it, for drives between the operator's seat and the place of the order etc.
  • the reference data consist of the combination of the reference data I and the reference data II.
  • the reference data I originate from the integrated on-board computer 2 of the vehicle 1 , said computer being approved with the technical documentation of the manufacturer of the vehicle 1 . These data relate to the fuel consumption and the average velocity during the given period.
  • the reference data II originate from the order system 6 and relate to the weight of the transported-away goods, number of transports and lasting time thereof. After executing satisfactory number of reference drives with various driving modes and on various routes with various utilization of capacity, the obtained reference data are analyzed. This analysis results in establishing the functional dependence of the fuel consumption on the reference data.
  • a calculation model of approximate fuel consumption is found in dependence on the reference data for each group of vehicles 1 .
  • the real data for every vehicle 1 of the vehicle fleet are acquired repeatedly, said data being generated with the standard operation of said vehicle during the periods stated by the operator. In this case these periods are one calendar month long.
  • the real data consist of the combination of the real data 1 , originating from the integrated on-board computer 2 of the vehicle 1 , said computer having been approved with the technical documentation of the manufacturer of the vehicle 1 , and of the real data II originating from the order system 6 .
  • the real data I generated with the on-board com puter 2 of the vehicle 1 , are stored in the recording and reading device 3, by means of the communication interface and are transferred from it, in dependence on the availability of the contractual mobile operator's signal, into the evaluating centre 5 by means of the wireless transmission 4 .
  • the real data II are transferred into the evaluating centre 5 from the order system 6 ceaselessly by means of the Internet.
  • the real data equal the reference ones qualitatively but differ quantitatively there from.
  • the claimed fuel consumption of every vehicle 1 is determined for the given period.
  • the claimed fuel consumption is compared to the true fuel consumption for the given period.
  • the exact result 8 is obtained which gives evidence whether the true fuel consumption of a given vehicle corresponded to the claimed fuel consumption during the tested period, i.e. whether it was within the standard.
  • the evaluating centre 5 is interconnected with the accounting office 7 where e.g. the wages of the drivers of the vehicles 1 can be modified on the basis of the result 8 either in the form of bonuses or with temporary reduction of wages on the contrary. Due to this motivating program, the driver of every vehicle 1 strives for the lowest possible fuel consumption which is desirable economically as well as ecologically.
  • the real data, compared to the reference ones can be supporting materials for drivers' training and can contribute to improve the economy of the operation of vehicles 1 .

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Traffic Control Systems (AREA)
EP10003690A 2009-04-08 2010-04-06 Verfahren zur Treibstoffverbrauchsermittlung für Lkw Ceased EP2239710A1 (de)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CZ20090217A CZ2009217A3 (cs) 2009-04-08 2009-04-08 Zpusob stanovení spotreby pohonných hmot nákladních vozidel

Publications (1)

Publication Number Publication Date
EP2239710A1 true EP2239710A1 (de) 2010-10-13

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Family Applications (1)

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EP10003690A Ceased EP2239710A1 (de) 2009-04-08 2010-04-06 Verfahren zur Treibstoffverbrauchsermittlung für Lkw

Country Status (2)

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EP (1) EP2239710A1 (de)
CZ (1) CZ2009217A3 (de)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
RU2449359C1 (ru) * 2011-06-01 2012-04-27 Федеральное государственное образовательное учреждение высшего профессионального образования "Московский государственный технический университет гражданской авиации" (МГТУ ГА) Система идентификации готовности топлива в резервуарах хранения к выдаче на заправку воздушных судов
RU2450340C1 (ru) * 2011-04-20 2012-05-10 Федеральное государственное образовательное учреждение высшего профессионального образования "Московский государственный технический университет гражданской авиации" (МГТУ ГА) Система распознавания готовности топлива к выдаче на заправку воздушных судов по соотношениям его параметров
WO2017132120A1 (en) * 2016-01-25 2017-08-03 Rubicon Global Holdings, Llc Systems and methods for analyzing mobile equipment operations

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5737215A (en) * 1995-12-13 1998-04-07 Caterpillar Inc. Method and apparatus for comparing machines in fleet
US20060089781A1 (en) * 2004-10-25 2006-04-27 Mitsubishi Fuso Truck And Bus Corporation Fuel consumption estimating unit of vehicle
US20070143002A1 (en) * 2005-12-21 2007-06-21 Crowell Thomas J System for evaluating and improving driving performance and fuel efficiency
US20080270519A1 (en) 2004-05-12 2008-10-30 Hans Ekdahl Method in a Communication Network for Distributing Vehicle Driving Information and System Implementing the Method
GB2449769A (en) * 2007-06-01 2008-12-03 Lysanda Ltd Improvements in and relating to engine monitoring
US20090048726A1 (en) * 2007-08-14 2009-02-19 Lofall Marine Systems, Llc Vessel performance monitoring system and method

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5737215A (en) * 1995-12-13 1998-04-07 Caterpillar Inc. Method and apparatus for comparing machines in fleet
US20080270519A1 (en) 2004-05-12 2008-10-30 Hans Ekdahl Method in a Communication Network for Distributing Vehicle Driving Information and System Implementing the Method
US20060089781A1 (en) * 2004-10-25 2006-04-27 Mitsubishi Fuso Truck And Bus Corporation Fuel consumption estimating unit of vehicle
US20070143002A1 (en) * 2005-12-21 2007-06-21 Crowell Thomas J System for evaluating and improving driving performance and fuel efficiency
GB2449769A (en) * 2007-06-01 2008-12-03 Lysanda Ltd Improvements in and relating to engine monitoring
US20090048726A1 (en) * 2007-08-14 2009-02-19 Lofall Marine Systems, Llc Vessel performance monitoring system and method

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
RU2450340C1 (ru) * 2011-04-20 2012-05-10 Федеральное государственное образовательное учреждение высшего профессионального образования "Московский государственный технический университет гражданской авиации" (МГТУ ГА) Система распознавания готовности топлива к выдаче на заправку воздушных судов по соотношениям его параметров
RU2449359C1 (ru) * 2011-06-01 2012-04-27 Федеральное государственное образовательное учреждение высшего профессионального образования "Московский государственный технический университет гражданской авиации" (МГТУ ГА) Система идентификации готовности топлива в резервуарах хранения к выдаче на заправку воздушных судов
WO2017132120A1 (en) * 2016-01-25 2017-08-03 Rubicon Global Holdings, Llc Systems and methods for analyzing mobile equipment operations

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Publication number Publication date
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